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Jessica BOUCHEZ

Jessica BOUCHEZ

- Gestion des publications,  visibilité des publications et des chercheurs,  identité numérique
scientifique..), culture de diffusion en accès libre

- Administration de l'archive institutionnelle Madis

-Administration du portail Hal Univ-Eiffel

- Politique de signature des publications

- Repérage des publications, fourniture d'indicateurs bibliométriques

- Fonds documentaire du Campus de Lille

-ITRD

Mes dernières références

My latest references

Html Court


Test Hal Html


Articles PO Vandanjon


Gasperi

Lauriane Ledieu, Ngoc-Nam Phuong, Bernard Flahaut, Pauline Radigois, Julya Papin, et al.
May a Former Municipal Landfill Contaminate Groundwater in Microplastics? First Investigations from the “Prairie de Mauves Site” (Nantes, France). Microplastics, 2023, 2 (1), pp.93-106
10.3390/microplastics2010007
Johnny Gasperi, Bruno Tassin, Rachid Dris
Regards croisés - La pollution des eaux par les microplastiques : quantification, impacts et solutions. Webinaire TEAWEB - Société française de Génie des Procédés, Groupe thématique Traitement de l’Eau et de l’Air, Mar 2023, Paris, France
Cleo Ninja Stratmann, Rachid Dris, Johnny Gasperi, Frans Buschman, Arjen Markus, et al.
Microplastics > 25 µm in the Seine river. Conference UNESCO-EU H2020 LimnoPlast Conference, diving into freshwater microplastic pollution – connecting water, environemental and social sciences, Mar 2023, Paris, France
Max Beaurepaire, Rachid Dris, Johnny Gasperi, Bruno Tassin
Local urban activity, Covid lockdown, and atmospheric microplastic deposition. UNESCO-EU H2020 LimnoPlast Conference, diving into freshwater microplastic pollution – connecting water, environemental, and social sciences, Mar 2023, Paris, France
Marziye Molazadeh, Guilherme Calabro Souza, Fan Liu, Rachid Dris, Cedric Chaumont, et al.
Visualization of Buoyant MP motion in response to different flow velocities and bed types. EGU General Assembly 2023, Apr 2023, Vienne, Austria
10.5194/egusphere-egu23-12960
Valentin Chapon, Jean-Marc Brignon, Johnny Gasperi
Non-persistent chemicals in polymer and non-polymer products can cause persistent environmental contamination: evidence with DEHP in Europe. Environmental Science and Pollution Research, 2023
10.1007/s11356-023-25405-x
Nadia Bouzid, Remi Bizeul, Anthony Foucher, Sophie Ayrault, Olivier Evrard, et al.
Microplastics in sediment deposited along the Seine River after a major flood event (February 2021). EGU General Assembly 2023, Apr 2023, Vienne (AUT), Austria
10.5194/egusphere-egu23-12562
Minh Trang Nguyen, Gabriel Olthof, Vaibhav Budhiraja, Nam Ngoc Phuong, Rachid Dris, et al.
Occurrence and fate of microplastics in Parisian combined sewer network. Conference UNESCO-EU H2020 LimnoPlast Conference, diving into freshwater microplastic pollution – connecting water, environemental and social sciences, Mar 2023, Paris, France
Lauriane Ledieu, Romain Tramoy, David Mabilais, Sophie Ricordel, Bruno Tassin, et al.
Dynamique de transfert des macroplastiques en estuaire de Loire : trajectoires et facteurs d'influence. Techniques Sciences Méthodes , 2023, 3, pp.53-62
10.36904/202303053
Phuong Ngoc Nam, Elie Dhivert, Brice Mourier, Cécile Grosbois, Johnny Gasperi
Évolution longitudinale de la contamination en microplastiques dans les sédiments de la retenue de Villerest (Loire, France). Colloque annuel de la Zone atelier Loire. Enjeux environnementaux et sociétaux des hydrosystèmes : 20 ans de recherche sur le bv Loire, Oct 2022, Angers, France
Minh Trang Nguyen, Nam Ngoc Phuong, Rachid Dris, Johnny Gasperi, Thomas Gillet, et al.
Microplastics in sewer sediments of the Parisian combined sewer network. Micro2022 - Plastic pollution from macro to nanoplastic, Nov 2022, On line, Spain.
Johnny Gasperi, Rachid Dris, Bruno Tassin
Tour d'horizon de la contamination en débris plastiques des compartiments environnementaux. Congrès 2022 de la Société de Toxicologie Cellulaire et Moléculaire, Oct 2022, Dunkerque, France
Kelsey Smyth, Jennifer Drake, Tim van Seters, Johnny Gasperi, Rachid Dris, et al.
Bioretention cells remove increasingly small microplastics from stormwater. DesignLIFES, Design of Living Infrastructure for Ecosystem Services, Aug 2022, Toronto, Canada
Johnny Gasperi, Camille Croiset, Phuong Ngoc Nam, Elie Dhivert, Cécile Grosbois, et al.
Microplastiques et Loire : Premières connaissances sur le bassin ligérien. Séminaire Transfert des micropolluants dans les eaux de surface Bassin versant de la Loire, Oct 2022, Distanciel, France
Rachid Dris, Johnny Gasperi, Max Beaurepaire, Nadia Bouzid, Minh Trang Nguyen, et al.
Microplastiques en milieu urbain : métrologie et estimations de flux. 25ièmes Journées Information Eau, Oct 2022, Poitiers, France
Max Beaurepaire, Rachid Dris, Bruno Tassin, Johnny Gasperi
Comparison of total atmospheric microplastic deposition on a peri-urban and an agricultural site in the Paris region. EGU General Assembly 2022, May 2022, Vienna, Austria
10.5194/egusphere-egu22-8065
Jean Pruvost, Elie Dhivert, Brice Mourier, Bruno Tassin, Thierry Winiarski, et al.
Archivage et variabilité spatiale des microplastiques dans les sédiments fluviatiles. 4ième conférence internationale ISI River, Jul 2022, Lyon, France
L
Ledieu, R. Tramoy, D. Mabilais, S. Ricordel, L. Verdier, et al.. Macroplastic transfer dynamics in the Loire estuary: Similarities and specificities with macrotidal estuaries. Marine Pollution Bulletin, 2022, 182, pp.114019
10.1016/j.marpolbul.2022.114019
Max Beaurepaire, Rachid Dris, Johnny Gasperi, Bruno Tassin
The soils of a high-traffic roadside ditch as a receptacle of macro-litter and microplastics. Micro2022 : Plastic Pollution from MACRO, Nov 2022, Online, France
Max Beaurepaire, Rachid Dris, Bruno Tassin, Johnny Gasperi
Microplastics monitoring in total atmospheric fallout of a suburban and an agricultural site. Troisième rencontre du GDR Polymères et Océans 2022, Jun 2022, Brest, France
Alice Vidal, Isabelle Métais, Oihana Latchere, Dider Georges, Hanane Perrein-Ettajani, et al.
Microplastics in freshwater biotic and abiotic matrices sampled in the Loire River (France) and their ecotoxicology effects on Corbicula fluminea. Micro2022 - Plastic pollution from macro to nanoplastic, Nov 2022, On line, Spain
Cleo Ninja Stratmann, Rachid Dris, Johnny Gasperi, Sabrina Guérin-Rechdaoui, Anthony Marconi, et al.
Etude des microplastiques > 25 µm sur le bassin versant de la Seine. Rapport 2022 du programme PIREN-Seine. 2022
Maryem Mehboob, Rachid Dris, Johnny Gasperi, Bruno Tassin, Riffat Naseem Malik
Microplastic pollution in Indus Water System of Pakistan. 32nd annual meeting SETAC Europe, May 2022, Copenhague, Netherlands
L
Ledieu, R. Tramoy, S. Ricordel, D. Astrie, B. Tassin, et al.. Amount, composition and sources of macrolitter from a highly frequented roadway. Environmental Pollution, 2022, pp.119145
10.1016/j.envpol.2022.119145
Christelle Nabintu Kajoka, Julien Le Roux, Stephan Brosillon, Marcos Oliveira, Vincent Rocher, et al.
Réactivité de composés organiques et inorganiques avec l'acide performique. 14ème congrès international du GRUTTEE, Mar 2022, Toulouse, France
Lauriane Ledieu, Romain Tramoy, David Mabilais, Sophie Ricordel, Léopold Verdier, et al.
Dynamique de transfert des macrodéchets plastiques dans les estuaires macrotidaux : similarités et spécificités de l'estuaire de la Loire. 3ème rencontre du GDR Polymères et Océans, Jun 2022, BREST, France. 1p
Christelle Nabintu Kajoka, Johnny Gasperi, Stephan Brosillon, Marcos Oliveira, Vincent Rocher, et al.
Reactivity of performic acid with organic micropollutants and model compounds. 12th Micropol & Ecohazard Conference 2022, Jun 2022, Santiago de Compostela, Spain
Cleo Ninja Stratmann, Max Beaurepaire, Rachid Dris, Johnny Gasperi, Arnaud Blanchouin, et al.
Microplastiques dans le bassin de l’Orgeval. Journée scientifique de l'Orgeval, Jan 2022, En distanciel, France
Johnny Gasperi, Julien Le Roux, Steven Deshayes, Sophie Ayrault, Louise Bordier, et al.
Correction: Gasperi et al. Micropollutants in Urban Runoff from Traffic Areas: Target and Non-Target Screening on Four Contrasted Sites. Water 2022, 14, 394. Water, 2022, 14 (14), pp.2215
10.3390/w14142215
Romain Tramoy, Lauriane Ledieu, Sophie Ricordel, Daniel Astrié, Bruno Tassin, et al.
Macrolitter dataset from a highly frequented roadway in Nantes, France. Data in Brief, 2022
10.1016/j.dib.2022.108237
Nadia Bouzid, Christelle Anquetil, Rachid Dris, Johnny Gasperi, Bruno Tassin, et al.
Quantification of Microplastics by Pyrolysis Coupled with Gas Chromatography and Mass Spectrometry in Sediments: Challenges and Implications. Microplastics, 2022, 1 (2), pp.229-239
10.3390/microplastics1020016
Nadia Bouzid, Rémi Bizeul, Anthony Foucher, Sophie Ayrault, O
Evrard, et al.. Microplastiques dans les laisses de crue de la Seine. 3ième rencontre du GDR Polymères & Océans, Jun 2022, Brest, France
Johnny Gasperi, Lauriane Ledieu, Ngoc-Nam Phuong, Romain Tramoy, Rachid Dris, et al.
Projet Plasti-nium (2021-2025) : Débris plastiques dans le continuum Terre-Mer. 15e Journée scientifique de l'OSUNA, Jun 2022, NANTES, France. 1 p
Jean-Sebastien Barbier, Rachid Dris, Caroline Lecarpentier, Vivien Raymond, Karine Delabre, et al.
Présence de microplastiques dans les filières de traitement conventionnelles et de nanofiltration de trois usines de production d'eau potable. 3ième journée du GDR Polymères et Océans 2022, Jun 2022, Brest, France
Romain Tramoy, Bruno Tassin, Lauriane Ledieu, Rachid Dris, Camille Noûs, et al.
Flux de macroplastiques issus des eaux urbaines : au plus près des sources. Symposium métrologie de la pollution de plastique dans le continuum terre-mer, Dec 2022, Lyon, France
Javier Castro-Jimenez, Y Aminot, C Pollono, B Idjaton, L Bizzozero, et al.
Environmental occurrence of organophosphate esters and micro-plastics in sediments and benthic organisms from the Loire Estuary (France). SETAC Europe 32nd Annual Meeting, May 2022, COPENHAGUE, Denmark. SETAC Europe 32nd Annual Meeting, 1p., 2022
Max Beaurepaire, Rachid Dris, Johnny Gasperi, Marie-Christine Gromaire, Romain Tramoy, et al.
Caractérisation de macrodéchets et microplastiques au sein d’une noue filtrante en bord de route. Journées Doctorales en Hydrologie Urbaine (JDHU) 2022, Oct 2022, Lyon, France
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Dhivert, Ngoc-Nam Phuong, Brice Mourier, C. Grosbois, Johnny Gasperi. Microplastic trapping in dam reservoirs driven by complex hydrosedimentary processes (Villerest Reservoir, Loire River, France). Water Research, 2022, 225, pp.119187
10.1016/j.watres.2022.119187
Camille Croiset, Aurore Zalouk-Vergnoux, Agnès Baltzer, Johnny Gasperi
Etude des microplastiques dans un bassin versant sous pression maraîchère. 3ième rencontre du GDR Polymères & Océans, Jun 2022, BREST, France. 1 p
Christelle Nabintu Kajoka, Maolida Nihemaiti, Nina Huynh, Johnny Gasperi, S
Brosillon, et al.. Désinfection des eaux usées traitées par l’acide performique et sa réactivité avec les composés organiques. Journées Information Eaux (JIE), Oct 2022, Poitiers, France
Sophie Ricordel, Lauriane Ledieu, Daniel Astrié, Romain Tramoy, Bruno Tassin, et al.
Macrodéchets et déchets plastiques issus du trafic routier. Techniques Sciences Méthodes , 2022, 6, pp.53-70
10.36904/tsm/202206053
Romain Tramoy, Bruno Tassin, Johnny Gasperi
Pollution en macroplastiques dans l’environnement : Définition d’indicateurs de la zone urbaine au milieu récepteur. 3èmes rencontres GDR Polymères & Océans, Jun 2022, Brest, France
Johnny Gasperi, Julien Le Roux, Steven Deshayes, Sophie Ayrault, Louise Bordier, et al.
Micropollutants in Urban Runoff from Traffic Areas: Target and Non-Target Screening on Four Contrasted Sites. Water, 2022, 14 (3), 22 p
10.3390/w14030394
Romain Tramoy, E
Blin, I. Poitou, C. Noûs, Bruno Tassin, et al.. Riverine litter in a small urban river in Marseille, France: Plastic load and management challenges. Waste Management, 2022, 140, pp.154-163
10.1016/j.wasman.2022.01.015
Océane Feuger, Jean-Marc Brignon, Johnny Gasperi
Indicateur de la pression de pollution chimique sur le bassin de la Seine : rapport d'avancement d'un test de faisabilité. Rapport PIREN-Seine. 2022
J Castro-Jiménez, Y Aminot, C Pollono, B Idjaton, L Bizzozero, et al.
Micro-plastics and organophosphate ester additives in sediments and benthic organisms from the Loire Estuary (France). 3ième rencontre du GDR Polymères et Océans 2022, Jun 2022, Brest, France
Romain Tramoy, Eric Blin, Isabelle Poitou, Bruno Tassin, Johnny Gasperi
Riverine Litter in a small Urban River in Marseille, France: Plastic Load and Management Challenges. 4ème Conférence internationale I.S. Rivers, Lyon (France), Jul 2022, Lyon, France
Camille Croiset, Aurore Zalouk-Vergnoux, Agnés Baltzer, Johnny Gasperi
Study of microplastics in a catchment under market gardening pressure. Microplastics Workshop, Jun 2022, ATHENES, France. 1 p
Jean-Sebastien Barbier, Rachid Dris, Caroline Lecarpentier, Vivien Raymond, Karine Delabre, et al.
Microplastic occurrence after conventional and nanofiltration processes at drinking water treatment plants: Preliminary results. Frontiers in Water, 2022, 4
10.3389/frwa.2022.886703
Josette Garnier, Michel Meybeck, Sophie Ayrault, Gilles Billen, Hélène Blanchoud, et al.
Chapter 9 - Continental Atlantic Rivers: the Seine Basin.. 2nd edition. Rivers of Europe, Elsevier, pp. 291-330, 2022, 978-0-08-102612-0
10.1016/B978-0-08-102612-0.00009-2
Ngoc Nam Phuong, Elie Dhivert, Brice Mourier, Cécile Grosbois, Johnny Gasperi
Evolution amont-aval de la contamination en microplastiques dans un barrage : importance de la granulométrie fine dans la rétention des microplastiques. 3ième journée du GDR Polymères et Océans, Jun 2022, Brest, France
Lauriane Ledieu, Romain Tramoy, David Mabilais, Sophie Ricordel, Léopold Verdier, et al.
Dynamique de transfert des macrodéchets plastiques en estuaire de Loire : trajectoires et facteurs d'influence. 4ème Conférence internationale I.S.Rivers, Jul 2022, LYON, France. 3p
Lauriane Ledieu, Romain Tramoy, Sophie Ricordel, D
Astrie, Bruno Tassin, et al.. Amount, composition and sources of macrolitter from a highly frequented roadway. 3ème rencontre du GDR Polymères et Océans, Jun 2022, BREST, France. 3ème rencontre du GDR Polymères et Océans, 2022
Cleo Ninja Stratmann, Rachid Dris, Johnny Gasperi, Sam Azimi, Vincent Rocher, et al.
Investigating Microplastic > 25 µm in the Seine River. SETAC Europe 32nd annual meeting, May 2022, Copenhague, Denmark
Max Beaurepaire, Rachid Dris, Bruno Tassin, Johnny Gasperi
Microplastics in total atmospheric fallout: Monitoring in suburban and agricultural sites. SETAC Europe 32nd Annual Meeting 2022, May 2022, Copenhague, Denmark
Jean-Sébastien Barbier, Rachid Dris, Johnny Gasperi, Caroline Lecarpentier, Karine Delabre, et al.
Etat de l’art sur la présence de microplastiques dans les eaux destinées à la consommation humaine. Techniques Sciences Méthodes , In press
10.36904/tsm/202206093
Johnny Gasperi, Rachid Dris, Bruno Tassin
Microplastiques dans le continuum Terre-Mer. Conférence invitée. 3èmes rencontres GDR Polymères & Océans, Jun 2022, Brest, France
Nadia Bouzid, Christelle Anquetil, Rachid Dris, Johnny Gasperi, Bruno Tassin, et al.
Quantification of Microplastics by Pyr-GC-MS in Sediments: Challenges and Implications. SETAC Europe 32nd Annual Meeting, May 2022, Copenhague, Denmark
Denis Blot, Romain Tramoy, Johnny Gasperi, Bruno Tassin
Le continent oublié. Lumières et zones d'ombre des recherches sur la dissémination des plastiques. Natures Sciences Sociétés, 2022, 10 p
10.1051/nss/2022002
Romain Tramoy, Johnny Gasperi, Bruno Tassin
Endless journey of plastic debris in Rivers. One Integrated Marine Debris Observing System for a Clean Ocean - UN decade of The Ocean, Nov 2021, Visio, France
Robin Treilles, Johnny Gasperi, Romain Tramoy, Rachid Dris, Anaïs Gallard, et al.
Microplastic and microfiber fluxes in the Seine River: Flood events versus dry periods. Science of the Total Environment, 2021, pp.150123
10.1016/j.scitotenv.2021.150123
Johnny Gasperi, Rachid Dris, Soline Alligant, Romain Tramoy, Marie-Pierre Halm-Lemeille, et al.
Microplastiques en estuaire de Seine : synthèse des connaissances du projet Plastic-Seine sur les matrices abiotiques (2017-2020). Journée du GDR Polymères et Océans, Feb 2021, En distanciel, France
Ahmed A
Elsayed, Mazen Erfan, Yasser M. Sabry, Rachid Dris, Johnny Gasperi, et al.. A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy. Scientific Reports, 2021, 11, pp.10533
10.1038/s41598-021-89960-4
Romain Tramoy, Johnny Gasperi, Bruno Tassin
Les Macroplastiques dans le bassin de la Seine. Rencontre régionale : Vers une Île-de-France zéro plastiques, Nov 2021, Paris, France
Johnny Gasperi, Jérôme Cachot
Projet Plastic-Seine : Flux et impacts des microplastiques dans l’estuaire de la Seine. [Rapport de recherche] Programme Seine-Aval 6. 2021
Ronan Guillossou, Julien Le Roux, Angélique Goffin, Romain Mailler, Gilles Varrault, et al.
Fluorescence excitation/emission matrices as a tool to monitor the removal of organic micropollutants from wastewater effluents by adsorption onto activated carbon. Water Research, 2021, 190, pp.116749
10.1016/j.watres.2020.116749
Cédric Fisson, J Cachot, Johnny Gasperi, M.P
Halm-Lemeille, Bruno Tassin, et al.. La pollution plastique en estuaire de Seine : imprégnation environnementale, dynamique et impact sur le vivant. GIP Seine-Aval, 52 p, 2021, Fascicule Seine-Aval
Nadia Bouzid, Rachid Dris, Christelle Anquetil, Bruno Tassin, Johnny Gasperi, et al.
Développement d'une méthode de quantification des microplastiques par Pyr-GC-MS pour l'analyse de sédiments de la Seine. [Rapport de recherche] IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux. 2021, 14 p
Max Beaurepaire, Johnny Gasperi, Rachid Dris, Bruno Tassin
Microplastiques dans l'air : état de l'art, méthodologies et enjeux. Deuxième rencontre GDR Polymères & Océans, Feb 2021, Pau (en ligne), France
Robin Treilles, Johnny Gasperi, Anaïs Gallard, Mohamed Saad, Rachid Dris, et al.
Microplastics and microfibers in urban runoff from a suburban catchment of Greater Paris. Environmental Pollution, 2021, 25 p
10.1016/j.envpol.2021.117352
R
Tramoy, Johnny Gasperi, L. Colasse, C. Noûs, B. Tassin. Transfer dynamics of macroplastics in estuaries – New insights from the Seine estuary: Part 3. What fate for macroplastics?. Marine Pollution Bulletin, 2021, 169, pp.112513
10.1016/j.marpolbul.2021.112513
Johnny Gasperi, Rachid Dris, Robin Treilles, Max Beaurepaire, Sam Azimi, et al.
Sources et flux de microplastiques en milieux urbains. Journée technique nano/microplastiques dans l'eau, France Water Team, Jan 2021, Toulouse, France
Johnny Gasperi, Rachid Dris, Bruno Tassin
Apports des microplastiques par voie atmosphérique et contamination des milieux aquatiques. Atelier de prospective du groupe français des polymères - Nano/Microparticules de polymères - Etat des lieux, Dec 2021, PARIS, France. 1 p
Nadia Bouzid, Christelle Anquetil, Sylvie Derenne, Rachid Dris, Johnny Gasperi, et al.
Quantification des microplastiques par pyrolyse couplée à la chromatographie gazeuse et à la spectrométrie de masse : mise en évidence des effets matrice et implications pour l’étude de sédiments fluviatiles. 2ème rencontres du GDR Polymères et Océans, Feb 2021, Paris, France
Romain Tramoy, Johnny Gasperi, Laurent Colasse, Marie Silvestre, Philippe Dubois, et al.
Endless journey of macroplastics in rivers: From hours to decades tracking in the Seine River. EGU General Assembly 2021, Apr 2021, ONLINE, France. 1 p
10.5194/egusphere-egu21-6027
Robin Treilles, Johnny Gasperi, Anaïs Gallard, Saad Mohamed, Rachid Dris, et al.
Etude des microplastiques dans les eaux de ruissellement d’un bassin péri-urbain de l’agglomération parisienne. GDR 2021, Feb 2021, Paris, France
Pierre Labadie, Soline Alligant, Thierry Berthe, Hélène Budzinski, Aurélie Bigot-Clivot, et al.
Contaminants of Emerging Concern in the Seine River Basin: Overview of Recent Research. Nicolas Flipo; Pierre Labadie; Laurence Lestel. The Seine River Basin, 90, Springer, pp.355-380, 2021, The Handbook of Environmental Chemistry, 978-3-030-54259-7
10.1007/698_2019_381
Jean-Marc Brignon, Johnny Gasperi
Indicateur de la pression de pollution chimique sur le bassin de la Seine. [Rapport de recherche] IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux. 2021, 14 p
Max Beaurepaire, Rachid Dris, Johnny Gasperi, Bruno Tassin
Microplastics in total atmospheric fallout : review and monitoring in the Paris region. Workshop on microplastics in the atmosphere, Nov 2021, Nice, France
Romain Tramoy, Johnny Gasperi, Eric Blin, Isabelle Poitou, Bruno Tassin
Use of environmental management data for mass flow estimations of plastic debris in rivers: The Seine River and The Huveaune River, France.. EGU General Assembly 2021, Apr 2021, ONLINE, France. 2 p
10.5194/egusphere-egu21-6088, 2021
Dominique Patureau, Romain Mailler, Nadine Delgenes, Alice Danel, Emmanuelle Vulliet, et al.
Fate of emerging and priority micropollutants during the sewage sludge treatment - Part 2: Mass balances of organic contaminants on sludge treatments are challenging. Waste Management, 2021, 125, pp.122-131
10.1016/j.wasman.2021.02.034
Rachid Dris, Johnny Gasperi, Robin Treilles, Cleo Ninja Stratmann, Nadia Bouzid, et al.
Prélever et analyser les microplastiques en Seine : réflexions, évolutions méthodologiques et implications. Colloque PIREN-Seine, Oct 2021, Paris, France
Robin Treilles, Johnny Gasperi, Saad Mohamed, Romain Tramoy, Jérôme Breton, et al.
Abundance, composition and fluxes of plastic debris and other macrolitter in urban runoff in a suburban catchment of Greater Paris. Water Research, 2021, 192, pp.116847
10.1016/j.watres.2021.116847
Max Beaurepaire, Rachid Dris, Johnny Gasperi, Bruno Tassin
Microplastics in the atmospheric compartment: a comprehensive review on methods, results on their occurrence and determining factors. Current Opinion in Food Science, 2021, 41, 16 p
10.1016/j.cofs.2021.04.010
Jean-Sébastien Barbier, Rachid Dris, Sylvie Thibert, Caroline Lecarpentier, Vivien Raymond, et al.
Premiers résultats sur la pollution microplastique le long de filières de potabilisation : de la ressource à l'eau potable distribuée en Île-de-France. Deuxième rencontre du GDR Polymères et Océans, Feb 2021, En distanciel, France
Guillaume Duflos, Alexandra ter Halle, Christelle Anquetil, Laurence Asia, Nadia Bouzid, et al.
Avancement sur la mise au point d’une méthode de dosage des microplastiques par pyrolyse couplée à la spectrométrie de masse. GDR Polymères et Océans 2020, GDR Polymères et Océans, Feb 2021, En ligne, France
Johnny Gasperi, Romain Tramoy, Rachid Dris, Denis Blot, Bruno Tassin
En amont des océans, déchets plastiques dans les cours d'eaux : flux, stocks, dynamique, quelques réponses et de nombreuses questions. Journées scientifiques de l'Université de Nantes, Jun 2021, NANTES, France. 1 p
Robin Treilles, Johnny Gasperi, Anais Gaillard, Mohamed Saad, Rachid Dris, et al.
Microplastics and microfibers in urban runoff on a suburban catchment of Paris megacity. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, Nov 2020, Lanzarote, Spain
Elorri Igos, Romain Mailler, Ronan Guillossou, Vincent Rocher, Johnny Gasperi
Life cycle assessment of powder and micro-grain activated carbon in a fluidized bed to remove micropollutants from wastewater and their comparison with ozonation. Graduate Journal of Social Science, 2020, 39 p
10.1016/j.jclepro.2020.125067
Robin Treilles, Aurélie Cayla, Johnny Gasperi, Bénédicte Strich, Patrick Ausset, et al.
Impacts of organic matter digestion protocols on synthetic, artificial and natural raw fibers. Science of the Total Environment, 2020, 748, p. 141230
10.1016/j.scitotenv.2020.141230
Ronan Guillossou, Julien Le Roux, Romain Mailler, Caroline Soares Pereira-Derome, Gilles Varrault, et al.
Influence of dissolved organic matter on the removal of 12 organic micropollutants from wastewater effluent by powdered activated carbon adsorption. Water Research, 2020, 172, pp.115487
10.1016/j.watres.2020.115487
Soline Alligant, Johnny Gasperi, Aline Gangnery, Frank Maheux, Benjamin Simon, et al.
Microplastic Contamination of Sediment and Water Column in the Seine River Estuary. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, pp.4-9, 2020
10.1007/978-3-030-45909-3_2
Antoine Bruge, Marius Dhamelincourt, Laurent Lanceleur, Mathilde Monperrus, Johnny Gasperi, et al.
A first estimation of uncertainties related to microplastic sampling in rivers. Science of the Total Environment, 2020, 718, pp.137319
10.1016/j.scitotenv.2020.137319
Robin Treilles, Johnny Gasperi, Anaïs Gallard, Saad Mohamed, Rachid Dris, et al.
Microplastics in urban runoff on a suburban catchment of Paris megacity. Micro 2020, Nov 2020, Arrecife, Spain
Elorri Igos, Romain Mailler, Johnny Gasperi, R Guillossou, Vincent Rocher
Analyse du cycle de vie comparative de technologies d'élimination des micropolluants en STEU. Journée Information Eaux, Oct 2020, Poitiers, France
Rachid Dris, Romain Tramoy, Soline Alligant, Johnny Gasperi, Bruno Tassin
Plastic Debris Flowing from Rivers to Oceans: The Role of the Estuaries as a Complex and Poorly Understood Key Interface. In: T. Rocha-Santos, M. Costa and C. Mouneyrac (Eds.). Handbook of Microplastics in the Environment. Plastic Debris Flowing from Rivers to Oceans: The Role of the Estuaries as a Complex and Poorly Understood Key Interface. In: T. Rocha-Santos, M. Costa and C. Mouneyrac (Eds.). Handbook of Microplastics in the Environment, Springer Verlag, p. 1-28, 2020, 978-3-030-10618-8
10.1007/978-3-030-10618-8_3-1
Romain Tramoy, Johnny Gasperi, Bruno Tassin
Débris en Seine : les plastiques prennent perpette. Conférence invitée pour le second atelier "Plastiques sur le continuum Rhône-Méditerranée". Atelier n°2 "Plastiques sur le continuum Rhône-Méditerranée", Nov 2020, LYON, France
R
Tramoy, J. Gasperi, L. Colasse, M. Silvestre, P. Dubois, et al.. Transfer dynamics of macroplastics in estuaries – New insights from the Seine estuary: Part 2. Short-term dynamics based on GPS-trackers. Marine Pollution Bulletin, 2020, 160, pp.111566
10.1016/j.marpolbul.2020.111566
Romain Tramoy, J
Gasperi, L. Colasse, B. Tassin. Transfer dynamic of macroplastics in estuaries -New insights from the Seine estuary: Part 1. Long term dynamic based on date-prints on stranded debris. Marine Pollution Bulletin, 2020
10.1016/j.marpolbul.2020.110894
Ronan Guillossou, Julien Le Roux, Romain Mailler, Catherine Morlay, Emmanuelle Vulliet, et al.
Influence of the properties of 7 micro-grain activated carbons on organic micropollutants removal from wastewater effluent. Chemosphere, 2020, 243, pp.125306
10.1016/j.chemosphere.2019.125306
Johnny Gasperi, Rachid Dris, Bruno Tassin
Microplastiques dans les eaux de surface et les sédiments. Université d'automne ED 614 CEGA (Chimie-Ecologie-Géosciences-Agrosciences) et 615 SBS (Sciences Biologiques et Santé) de Limoges et Poitiers, Oct 2020, Poitiers, France
Robin Treilles, Johnny Gasperi, Saad Mohamed, Alain Rabier, Jérôme Breton, et al.
Macro and Microplastics in Stormwater and Combined Sewer Overflows in Paris Megacity. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, 2020, 978-3-030-45909-3
Laurent Colasse, Romain Tramoy, Johnny Gasperi, Bruno Tassin
M2 « OSPAR » in a maximum visual accumulation of plastic debris in the Seine estuary National Nature Reserve. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, Nov 2020, Lanzarote, Spain. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, 2020
Johnny Gasperi, Rachid Dris, Robin Treilles, Romain Tramoy, Bruno Tassin
Microplastiques dans les milieux récepteurs : définition, points de vigilance, et quelques exemples de résultats sur la Seine. Conférence invitée pour le second atelier "Plastiques sur le continuum Rhône-Méditerranée".
Johnny Gasperi, Soline Alligant, Rachid Dris, Romain Tramoy, Robin Treilles, et al.
Plastic Debris in Urban Water and in Freshwater: Lessons Learned from Research Projects Launched in the Seine Basin Catchment. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, Springer International Publishing, 2020, Springer Nature Switzerland AG 2020, 978-3-030-45909-3
10.1007/978-3-030-45909-3_3
David Gateuille, Julia Dusaucy, Frédéric Gillet, Johnny Gasperi, Rachid Dris, et al.
Microplastic contamination in remote alpine lakes. EGU general assembly 2020, May 2020, VIENNE, Austria
10.5194/egusphere-egu2020-1292
Frédéric Gillet, Peter Gallinelli, Emmanuel Naffrechoux, Johnny Gasperi, David Gateuille
The "Mantamaran", a light, robust, portable and affordable sampler designed for altitudes lake microplastics sampling campaigns. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, Nov 2020, Arrecife (on line), Spain
Emilie Strady, Thuy-Chung Kieu-Le, Johnny Gasperi, Bruno Tassin
Temporal dynamic of anthropogenic fibers in a tropical river-estuarine system. Environmental Pollution, 2020, pp.113897
10.1016/j.envpol.2019.113897
Johnny Gasperi, Rachid Dris, Soline Alligant, Romain Tramoy, Marie-Pierre Halm-Lemeille, et al.
The fate of microplastics along salinity gradient and tidal cycles in a well-mixed estuary : a case study of the Seine estuary. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, Nov 2020, Lanzarote, Spain
Romain Tramoy, Johnny Gasperi, Laurent Colasse, Marie Silvestre, Philippe Dubois, et al.
Endless journey of macroplastics in rivers. MICRO 2020, Fate and Impact of Microplastics : Knowledge and Responsabilities, Nov 2020, Lanzarote, Spain
Romain Tramoy, Johnny Gasperi, Rachid Dris, Bruno Tassin
Dynamique des déchets plastiques dans les hydrosystèmes et appui aux politiques publiques : analogies entre les estuaires de Seine et de Loire. 5e colloque biennal des Zones Ateliers-CNRS : 2000-2020, 20 ans de recherche du Réseau des Zones Ateliers, Nov 2020, Blois, France
Christian Mougin, Isabelle Lamy, Lisa Ciadamidaro, Sabine S
Houot, Johnny Gasperi, et al.. Les plastiques dans les sols. Les sols urbains sont-ils cultivables ?, Chapitre 10, pp.182-192, 2020, Edition QUAE Matière à débattre et à décider
Ronan Guillossou, Julien Le Roux, Stephan Brosillon, Romain Mailler, Emmanuelle Vulliet, et al.
Benefits of ozonation before activated carbon adsorption for the removal of organic micropollutants from wastewater effluents. Chemosphere, 2020, 245, pp.125530
10.1016/j.chemosphere.2019.125530
France Collard, Johnny Gasperi, Geir Wing Gabrielsen, Bruno Tassin
Plastic particle ingestion by wild freshwater fish: a critical review. Environmental Science and Technology, 2019, 31
10.1021/acs.est.9b03083
Johnny Gasperi, Bruno Tassin
Etat des connaissances sur les microplastiques dans les eaux urbaines et les milieux récepteurs. Colloquie de l'Association Scientifique Européenne pour l'Eau et la Santé, May 2019, Paris, France
Johnny Gasperi, Soline Alligant, Rachid Dris, Romain Tramoy, Robin Treilles, et al.
Plastic debris in urban water and freshwater: lessons learned from the Seine Basin catchment. II International Conference on Microplastic Pollution in the Mediterranean Sea (μMED), Capri (Italy), septembre 2019., Sep 2019, Capri, Italy
Robin Treilles, Johnny Gasperi, Saad Mohamed, Alain Rabier, Jérôme Breton, et al.
Macro and microplastics in stormwater in Paris Megacity. µMED Capri : II International Conference on Microplastic Pollution in the Mediterranean Sea, Sep 2019, Capri, Italy
Josette Garnier, Johnny Gasperi
PIREN-Seine - Rapport de synthèse phase VII (2019) – Vol 2: Flux dans le continuum Homme-Terre-Mer. 2019, Rapport de synthèse PIREN-Seine
10.26047/PIREN.rapp.synth.2019.vol2
Sophie Ayrault, Michel Meybeck, Jean-Marie Mouchel, Johnny Gasperi, Laurence Lestel, et al.
Sedimentary Archives Reveal the Concealed History of Micropollutant Contamination in the Seine River Basin. In " The Seine River Basin, Hdb Env Chem". Sedimentary Archives Reveal the Concealed History of Micropollutant Contamination in the Seine River Basin, 90, SPRINGER, 2019, 978-3-030-54259-7
10.1007/698_2019_386
Ronan Guillossou, Julien Le Roux, Romain Mailler, Emmanuelle Vulliet, Catherine Morlay, et al.
Organic micropollutants in a large wastewater treatment plant: What are the benefits of an advanced treatment by activated carbon adsorption in comparison to conventional treatment?. Chemosphere, 2019, 218, pp.1050-1060
10.1016/j.chemosphere.2018.11.182
Johnny Gasperi, Rachid Dris, Bruno Tassin
Recherches sur les microplastiques en Ile-de-France. Conférence invitée dans le cadre du comité des sciences de l'environnement, Académie d’agriculture, Oct 2019, Paris, France
Romain Tramoy, Johnny Gasperi, Rachid Dris, Laurent Colasse, C
Fisson, et al.. Estimation des flux de plastiques transitant en Seine : quelles méthodes pour quels résultats ?. Techniques Sciences Méthodes , 2019, 1-2, pp.15-26
10.1051/tsm/201901015
Tim van Emmerik, Romain Tramoy, Caroline van Calcar, Soline Alligant, Robin Treilles, et al.
Seine plastic debris transport tenfolded during increased river discharge. Frontiers in Marine Science, 2019
Romain Tramoy, Johnny Gasperi, Rachid Dris, Laurent Colasse, Cédric Fisson, et al.
Assessment of the Plastic Inputs From the Seine Basin to the Sea Using Statistical and Field Approaches. Frontiers in Marine Science, 2019, 6
10.3389/fmars.2019.00151
Romain Tramoy, Johnny Gasperi, Bruno Tassin, Florian Rognard
ESTIMATION DES FLUX DE MACRODÉCHETS SUR LE BASSIN DE LA SEINE. [Rapport de recherche] LEESU; MTES; UPEC; ENPC. 2019
Johnny Gasperi, Soline Alligant, Rachid Dris, Romain Tramoy, Robin Treilles, et al.
Plastic Debris in Urban Water and in Freshwater: Lessons Learned from Research Projects Launched in the Seine Basin Catchment. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, Sep 2019, Capri, Italy. p. 10-11
David Gateuille, Johnny Gasperi, Cyrielle Briand, Elodie Moreau-Guigon, Fabrice Alliot, et al.
Mass Balance of PAHs at the Scale of the Seine River Basin. Mass Balance of PAHs at the Scale of the Seine River Basin, 90, SPRINGER, 2019, 978-3-030-54259-7
10.1007/698_2019_382
Soline Alligant, Johnny Gasperi, Aline Gangnery, Frank Maheux, Benjamin Simon, et al.
Microplastic Contamination of Sediment and Water Column in the Seine River Estuary. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, Sep 2019, Capri, Italy. p. 4-9
Johnny Gasperi, Soline Alligant, Bruno Tassin, Messika Revel, Catherine Mouneyrac, et al.
PLASTIC-Seine research project: Microplastic Flux and Impact on biota in the Seine estuary.. SETAC Europe 29th annual meeting - One Environment. One Health. Sustainable Societies, May 2019, Helsinki, Sweden
Jérôme Cachot, Christelle Clérandeau, Florane Le Bihanic, Caroline Vignet, Pauline Pannetier, et al.
Évaluation de la contamination et des effets écotoxiques des microplastiques en estuaire de Seine ; les premiers enseignements du projet Plastic-Seine. GDR Polymères et Océans, Jun 2019, Créteil, France.
Romain Tramoy, Johnny Gasperi, Rachid Dris, Laurent Colasse, Cédric Fisson, et al.
Flux et dynamique de transfert des macroplastiques du continent à la mer : le cas de la Seine. Polymères et Océans, Jun 2019, Créteil, France
Robin Treilles, Johnny Gasperi, Mohamed Saad, Jérôme Breton, Vincent Rocher, et al.
Macro and Microplastics in Stormwater and Combined Sewer Overflows in Paris Megacity. Proceedings of the 2nd International Conference on Microplastic Pollution in the Mediterranean Sea, Sep 2019, Capri, Italy. p. 145-151
Rachid Dris, Johnny Gasperi, Bruno Tassin
État des connaissances sur les microplastiques, et leurs risques associés, particulièrement en milieu urbain. Conférence invitée dans le cadre d'une séance solennelle de l'Académie de Pharmacie, Dec 2019, Paris, France
Claire Froger, Sophie Ayrault, Johnny Gasperi, Emilie Caupos, Gaël Monvoisin, et al.
Innovative combination of tracing methods to differentiate between legacy and contemporary PAH sources in the atmosphere-soil-river continuum in an urban catchment (Orge River, France). Science of the Total Environment, 2019, pp.448-458
10.1016/j.scitotenv.2019.03.150
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Tramoy, Johnny Gasperi, R. Dris, L. Colasse, C. Fisson, et al.. Plastic input from the Seine Basin to the Sea : what method for what results?. Techniques Sciences Méthodes , 2019, 1-2, pp.15-26
10.1051/tsm/201901015
Soline Alligant, Johnny Gasperi, El Rakwe, Catherine Dreanno, Aline Gangnery, et al.
Microplastic contamination of sediment and water column in the Seine River Estuary. II International Conference on Micoplastic Pollution in the Mediterranean Sea, Sep 2019, Capri, Italy
Robin Treilles, Johnny Gasperi, Saad Mohamed, Alain Rabier, Jérôme Breton, et al.
Macro and microplastics in stormwater and combined sewer overflows in Paris megacity. Novatech 2019, Jul 2019, Lyon, France
Christian Mougin, J
Gasperi, Sabine Houot, Bruno Tassin. Plastiques et dérivés : quels niveaux de contaminations et quels impacts écotoxicologiques sur les écosystèmes terrestres ? Journée d'échanges « Qualité des sols urbains et périurbains et compatibilité des usage » de l’Observatoire des Sciences de l'Univers de Nantes Atlantique (OSUNA). Journée d'échanges « Qualité des sols urbains et périurbains et compatibilité des usage » de l’Observatoire des Sciences de l'Univers de Nantes Atlantique (OSUNA), May 2019, Paris, France
Steven Deshayes, Johnny Gasperi, Emilie Caupos, Chandirane Partibane, Lila Boudahmane, et al.
Bisphenol A, alkylphenol and phtalates in road and car park runoff: from vehicle component emissions to in-situ measurement. Novatech, Jul 2019, Lyon, France
Robin Treilles, Aurélie Cayla, Bénédicte Strich, Patrick Ausset, Johnny Gasperi, et al.
Impact des protocoles de digestion sur les fibres synthétiques, artificielles et naturelles. Polymères et Océans, GDR 2019, Jun 2019, Créteil, France
Isabelle Lamy, Christian Mougin, Johnny Gasperi, Bruno Tassin
Impacts écotoxicologiques des microplastiques sur les écosystèmes terrestres : Etat de l’art et besoins de recherche. Comité des sciences de l’environnement de l’Académie des Sciences, Oct 2019, Paris, France
Robin Treilles, Johnny Gasperi, Rachid Dris, Romain Tramoy, Bruno Tassin
Microplastiques en Seine : premières investigations et estimations des flux à l’échelle du bassin de la Seine, dans Flux dans le continuum Homme-Terre-Mer. [Rapport de recherche] Piren-Seine. 2019
Romain Tramoy, Laurent Colasse, Johnny Gasperi, Bruno Tassin
Plastic debris dataset on the Seine river banks: plastic pellets, unidentified plastic fragments and plastic sticks are the Top 3 items in a historical accumulation of plastics. Data in Brief, 2019
10.1016/j.dib.2019.01.045
Ronan Guillossou, Julien Le Roux, Romain Mailler, Emmanuelle Vulliet, Catherine Morlay, et al.
Micropolluants dans les eaux usées : qu’apporte un traitement avancé par adsorption sur charbon actif après un traitement conventionnel ?. Techniques Sciences Méthodes , 2019, 7/8, pp.66-80
10.1051/tsm/201907067
Ronan Guillossou, Julien Le Roux, Romain Mailler, Catherine Morlay, Emmanuelle Vulliet, et al.
Critères pour la sélection de charbons actifs en micro-grain pour l’élimination de micropolluants organiques dans les eaux usées. 98ème congrès de l'Astee, Jun 2019, Saumur, France
Vincent Rocher, Sam Azimi, Johnny Gasperi
Micro-contamination et STEP : efficacité des filières de traitement des eaux, contamination des boues et nouveaux outils de suivi. Colloque Eau Santé et Environnement, Nov 2018, Evry, France
Ronan Guillossou, Julien Le Roux, Romain Mailler, Stephan Brosillon, Emmanuelle Vulliet, et al.
Coupling ozonation and activated carbon adsorption for the removal of 28 trace organic micropollutants from wastewater effluents.. EA3G 2018, Sep 2018, Lausanne, Switzerland
Romain Tramoy, Johnny Gasperi, L
Colasse, C. Fisson, S Sananes, et al.. Plastic input from the Seine River into the oceans: first results from the MacroPLAST project. MICRO2018, Nov 2018, LANZAROTE, Spain
Johnny Gasperi, Stephanie L
Wright, Rachid Dris, France Collard, Corinne Mandin, et al.. Microplastics in air: Are we breathing it in?. Current Opinion in Environmental Science & Health, 2018, 1, pp.1 - 5
10.1016/j.coesh.2017.10.002
Alexandre Bergé, Audrey Buleté, Johnny Gasperi, Romain Mailler, Vincent Rocher, et al.
La spectrométrie de masse haute résolution : un outil innovant de caractérisation des ouvrages d’assainissement. 97ième Colloque ASTEE, Jun 2018, Marseille, France
Alexandre Bergé, Audrey Buleté, Aurélie Fildier, R
Mailler, Johnny Gasperi, et al.. Non-target strategies by HRMS to evaluate fluidized micro-grain activated carbon as a tertiary treatment of wastewater. Chemosphere, 2018, 213, pp.587-595
10.1016/j.chemosphere.2018.09.101
Soline Alligant, Johnny Gasperi, Aline Gangnery, Frank Maheux, Benjamin Simon, et al.
Concentrations and morphology of microplastics in the Seine river estuary. Micro2018 Fate and Impact of Microplastics: Knowledge, Actions and Solutions, Nov 2018, Arrecife, Spain
Claire Froger, Cécile Quantin, Johnny Gasperi, Emilie Caupos, Gaël Monvoisin, et al.
Impact of urban pressure on the spatial and temporal dynamics of PAH fluxes in an urban tributary of the Seine River (France). Chemosphere, 2018, pp.1002-1013
10.1016/j.chemosphere.2018.12.088
Nicolas Flipo, Jean-Marie Mouchel, Cédric Fisson, Shuaitao Wang, Marion Le Gall, et al.
Les effets de la crue de juin 2016 sur la qualité de l'eau du bassin de la Seine. Nicolas Flipo, Jean-Marie Mouchel, Cédric Fisson. Programme Interdisciplinaire de Recherche sur l'eau et l'environnement du bassin de la Seine (PIREN Seine), 2018, 978-2-490463-05-03
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Deshayes, V. Eudes, C. Droguet, Johnny Gasperi, R. Mailler, et al.. Devenir des micropolluants au sein de la station d’épuration de Seine Centre : étude simultanée des filières eau et boue. Techniques Sciences Méthodes , 2018, 6, pp.33 - 44
10.1051/tsm/20186p33
Romain Tramoy, Johnny Gasperi, Laurent Colasse, Cédric Fisson, Nicolas Bacq, et al.
Estimer les flux de macro-déchets dans la Seine : un véritable casse-tête ?. I.S.Rivers 2018, Jun 2018, Lyon, France
Bruno Tassin, Soline Alligant, Robin Treilles, Vincent Rocher, Rachid Dris, et al.
Que sait-on aujourd’hui de la contamination des eaux urbaines et des eaux de surface par les microplastiques ?. 97ème congrès de l’Astee, Jun 2018, Marseille, France
Antoine Bruge, Marius Dhamelincourt, Johnny Gasperi, Laurent Lanceleur, Mathilde Monperrus, et al.
A first estimation of uncertainties related to microplastic sampling in rivers. MICRO 2018 Fate and Impact of Microplastics: Knowledge, Actions and Solutions, Lanzarote (Espagne), novembre 2018., Nov 2018, Arrecife (Lanzarote), Spain
Robin Treilles, Johnny Gasperi, Romain Tramoy, Vincent Rocher, Bruno Tassin
Evolution de la concentration en microplastiques dans le bassin de la Seine lors de la crue de janvier 2018. Rapport PIREN-Seine. 2018
Johnny Gasperi, Bruno Tassin
Pollution des océans et des cours d’eau par les débris plastiques : Constats et Impacts. Plastique en mer, solutions à terre ! Quelles évolutions pour notre société du tout plastique ? Conférence à l'assemblée nationnale, Sep 2018, Paris, France
Robin Treilles, Johnny Gasperi, Mohamed Saad, Alain Rabier, Jérôme Breton, et al.
Macro et microplastiques dans les rejets urbains de temps de pluie et dans les eaux pluviales de l'agglomération parisienne. Journées Doctorales en Hydrologies Urbaines, Nov 2018, Paris, France
Lisa Lahens, Emilie Strady, Thuy-Chung Kieu-Le, Rachid Dris, Kada Boukerma, et al.
Macroplastic and microplastic contamination assessment of a tropical river (Saigon River, Vietnam) transversed by a developing megacity.. Environmental Pollution, 2018, pp.661-671
10.1016/j.envpol.2018.02.005
Alexandre Bergé, Audrey Buleté, Aurélie Fildier, Romain Mailler, Johnny Gasperi, et al.
Caractérisation d’un pilote de traitement tertiaire par une approche globale basée sur la spectrométrie de masse haute résolution. Colloque INERIS Améliorer le diagnostic des polluants organiques environnementaux : mise en œuvre d’approches d’analyses non-ciblées, Feb 2018, Paris, France
Romain Tramoy, J
Gasperi, R Dris, L. Colasse, C. Fisson, et al.. Premières tentatives de quantification des flux de macro déchets plastiques en Seine. ASTEE 2018, Jun 2018, Marseille, France
Sophie Ayrault, Philippe Bonte, M
Roy-Barmann, Laurence Lestel, Jean-Marie Mouchel, et al.. Archives sédimentaires : empreintes des contaminations dans le bassin de la Seine, de 1930 à nos jours. 26ième Réunion des Sciences de la Terre, Oct 2018, Lille, France
Tim van Emmerik, Thuy-Chung Kieu-Le, Michelle Loozen, Kees van Oeveren, Emilie Strady, et al.
A Methodology to Characterize Riverine Macroplastic Emission Into the Ocean. Frontiers in Marine Science, 2018, 5, pp.372
10.3389/fmars.2018.00372
Claire Froger, Cécile Quantin, Johnny Gasperi, Emilie Caupos, Gaël Monvoisin, et al.
Sources, dynamique et bilan des flux de HAP dans le bassin de l'Orge : une approche intégrative dans le continuum atmosphère -sol - rivière. [Rapport de recherche] PIREN Seine. 2018
Soline Alligant, Bruno Tassin, Aline Gangnery, Franck Maheux, Benjamin Simon, et al.
Contamination en microplastiques dans l’estuaire de la Seine. 14ème édition du colloque international francophone en écotoxicologie aquatique EcoBIM 2018, May 2018, Bordeaux, France
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Bergé, A. Bulete, A. Fildier, Johnny Gasperi, R. Mailler, et al.. La spectrométrie de masse haute résolution : un outil innovant de caractérisation des ouvrages d’assainissement. Techniques Sciences Méthodes , 2018, 12, pp.51-68
Johnny Gasperi, Bruno Tassin
Du macro- aux microplastiques : une nouvelle pollution des rivières. Forum « Les cours d’eau franciliens : Regards croisés sur les qualités et les usages actuels et futurs », May 2018, Paris, France
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Microplastiques en Seine dans l’agglomération parisienne : étude des variations spatiales et temporelles des fibres anthropiques synthétiques et artificielles. Techniques Sciences Méthodes , 2018, 5, pp.45 - 54
10.1051/tsm/201805045
Johnny Gasperi, Sophie Ayrault, Elodie Moreau-Guigon, Fabrice Alliot, Pierre Labadie, et al.
Contamination of soils by metals and organic micropollutants: case study of the Parisian conurbation. Environmental Science and Pollution Research, 2018, 25 (24), pp.23559-23573
10.1007/s11356-016-8005-2
Johnny Gasperi, Bruno Tassin, Denis Blot
Les déchets océaniques : à qui sont ces objets ? Regards croisés des sciences sociales et des sciences de la nature. 5ième journée habiter le monde, Oct 2018, Amiens, France
Johnny Gasperi, Romain Tramoy, Isabelle Poitou, Denis Blot, Bruno Tassin
Du macro- aux microplastiques : une pollution « émergente » dans le continuum terre-mer.. Colloque « Les enjeux des polluants émergents dans le continuum terre-mer en Méditerranée », Marseille, décembre 2018., Dec 2018, Marseille, France
Rachid Dris, Hannes Imhof, Martin Loder, Johnny Gasperi, Christian Laforsch, et al.
Microplastic Contamination in Freshwater Systems: Methodological Challenges, Occurrence and Sources. Microplastic Contamination in Aquatic Environments: An Emerging Matter of Environmental Urgency, 2018
Ronan Guillossou, Julien Le Roux, Romain Mailler, S
Brosillon, Emmanuelle Vulliet, et al.. Etude du couplage ozonation-adsorption sur charbon actif pour l’abattement de micropolluants prioritaires et émergents en traitement tertiaire.. 23ème Journées Information Eaux, Oct 2018, Poitiers, France
Ronan Guillossou, Johnny Gasperi, Julien Le Roux, Romain Mailler, Emmanuelle Vulliet, et al.
Micropolluants dans les eaux usées : qu'apporte un traitement tertiaire par adsorption sur charbon actif ?. 8èmes Journées Doctorales en Hydrologie Urbaine, Nov 2018, Paris, France
Soline Alligant, Johnny Gasperi, Aline Gangnery, Franck Maheux, Benjamin Simon, et al.
Microplastic contamination in the Seine River estuary. International Conference on Estuaries and Coasts 2018 (ICEC 2018), Aug 2018, Caen, France
Robin Treilles, Aurélie Cayla, J
Gasperi, B Strich, Patrick Ausset, et al.. Impacts of digestion protocols on chemical and natural fibers. Microplastics2018, Oct 2018, Ascona, Switzerland
Johnny Gasperi
Interview Johnny Gasperi - France Inter - Jounral de 19h - 15/03/2018. 2018
France Collard, Johnny Gasperi, Bernard Gilbert, Gauthier Eppe, Sam Azimi, et al.
Anthropogenic particles in the stomach contents and liver of the freshwater fish Squalius cephalus. Science of the Total Environment, 2018, 643, pp.1257 - 1264
10.1016/j.scitotenv.2018.06.313
Cyrielle Briand, Adèle Bressy, Chebbo Ghassan, José-Frédéric Deroubaix, Steven Deshayes, et al.
Que sait-on des micropolluants dans les eaux urbaines ?. ARCEAU IdF; AFB - Agence française pour la biodiversité, 2018, 978-2-490463-00-8
Robin Treilles, Johnny Gasperi, Romain Tramoy, Vincent Rocher, Bruno Tassin
Microplastic concentrations in freshwater during a flood event, a case study of the Seine river catchment. Micro 2018 Fate and Impact of Microplastics: Knowledge, Actions and Solutions, Nov 2018, Arrecife, Spain
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Synthetic and non-synthetic anthropogenic fibers in a river under the impact of Paris Megacity: Sampling methodological aspects and flux estimations. Science of the Total Environment, 2018, 618, pp.157-164
10.1016/j.scitotenv.2017.11.009
Rachid Dris, Johnny Gasperi, Bruno Tassin
Sources and Fate of Microplastics in Urban Areas: A Focus on Paris Megacity. Wagner M.; Lambert S. Freshwater Microplastics. The Handbook of Environmental Chemistry, vol 58, Springer, 2018, 978-3-319-61614-8,978-3-319-61615-5
10.1007/978-3-319-61615-5_4
Ronan Guillossou, Johnny Gasperi, Julien Le Roux, Romain Mailler, Céline Briand, et al.
Micropolluants dans les eaux usées : qu'apporte un traitement tertiaire par adsorption sur charbon actif ?. 97ème congrès de l'ASTEE, Jun 2018, Marseille, France
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Gateuille, Johnny Gasperi, Elodie Moreau-Guigon, Fabrice Alliot, Blanchard Martine, et al.. Mass balance of organic contaminants at the scale of the Seine River basin (France). River Basins - International Conference on Monitoring, Modelling and Management of River Basins, Jun 2017, Vienne, Austria
Collard France, Bernard Gilbert, Gauthier Eppe, Sam Azimi, Vincent Rocher, et al.
Microplastics found in the stomach contents of the European chub (Squalius cephalus) from the Seine River. 16th International Conference on Chemistry and the Environment, Jun 2017, Osli, Norway
R Guillossou, Julien Le Roux, R Mailler, Emmanuelle Vulliet, C Morlay, et al.
Abattement de micropolluants par adsorption sur charbon actif en micro-grain en sortie de station d’épuration : caractérisation et suivi indirect par spectroscopie (UV254 et fluorescence 3D). Gruttee 2017 : 12th GRUTTEE international congress, The national school for water and environmental engineering (ENGEES) ; The engineering science, computer science and imaging laboratory (ICube), Oct 2017, Strasbourg, France
Jean-Marie Mouchel, Sophie Ayrault, H
Budzinski, C. Fisson, Nicolas Flipo, et al.. Influence de la crue de juin 2016 sur les flux de matières dans le bassin de la Seine. Colloque PIREN-Seine, 2017, Oct 2017, Paris, France
Johnny Gasperi, Christel Sebastian, Véronique Ruban, Mélissa Delamain, Stéphane Percot, et al.
Contamination des eaux pluviales par les micropolluants: avancées du projet INOGEV. Techniques Sciences Méthodes , 2017, 7/8, pp.51-66
10.1051/tsm/201778051
Ali Hannouche, Ghassan Chebbo, Claude Joannis, Johnny Gasperi, Marie-Christine Gromaire, et al.
Stochastic evaluation of annual micropollutant loads and their uncertainties in separate storm sewers. Environmental Science and Pollution Research, 2017, 24 (36), pp.28205 - 28219
Collard France, Johnny Gasperi, Gauthier Eppe, Bernard Gilbert, Sam Azimi, et al.
Occurrence of anthropogenic particles in the fish Squalius cephalus from the Seine and Marne Rivers. 15th International Conference on Environmental Science And Technology, Aug 2017, Rhodes, Greece
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Gateuille, Johnny Gasperi, Cyrielle Briand, Elodie Moreau-Guigon, Fabrice Alliot, et al.. Mass balance of organic contaminants at the scale of the Seine River basin (FRANCE). International Conference on Monitoring, Modelling and Management of River Basins (RIVER BASINS 2017), Jun 2017, Vienne, Austria. pp.19
Johnny Gasperi
Bassin de la Seine : Imprégnation en micropolluants historiques et émergents d’un bassin versant fortement urbanisé. 96ième colloque de l'ASTEE, ASTEE, Jun 2017, Liège, Belgique
Eva Risch, Johnny Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, Sam Azimi, et al.
LCA of wet-weather emissions of an urban wastewater system: the case of the Greater Paris watershed. 18th International Conference on Diffuse Pollution and Eutrophication, Aug 2017, Los Angeles, United States
Emilie Strady, Lahens Lisa, Rachid Dris, K Le Thuy Chung, Dounia Benali, et al.
Microplastics: an emerging contaminant in the Saigon River, Vietnam. 3rd International Conference on Environmental Pollution, Restoration, and Management, Mar 2017, Quy Nhon, Vietnam
Eva Risch, Johnny Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, Sam Azimi, et al.
Impacts from urban water systems on receiving waters – How to account for severe wet-weather events in LCA?. Water Research, 2017, 128, pp.412-423
10.1016/j.watres.2017.10.039
Alexandre Bergé, Audrey Buleté, Aurélie Fildier, Johnny Gasperi, Romain Mailler, et al.
La spectrométrie de masse haute résolution comme outil d’évaluation et de caractérisation du traitement des boues. 1er Colloque du Réseau Public Contaminants, Nouveaux risques & contaminants émergents, Arcachon, novembre 2017, Nov 2017, Arcachon, France
Steven Deshayes, Johnny Gasperi, Emilie Caupos, Pierre Labadie, H
Budzinski, et al.. Quantification of twelve families of emerging pollutants in road and car park runoff. 14th IWA/IAHR International Conference on Urban Drainage (ICUD), IWA, Sep 2017, Prague, Czech Republic
Vincent Rocher, Sam Azimi, Catherine Paffoni, Olivier Rousselot, Jean-Pierre Tabuchi, et al.
Evolution de la qualité de la Seine en lien avec les progrès de l'assainissement - De 1970 à 2015. Edition Johanet, 2017, 979-10-91089-31-9
Rachid Dris, Johnny Gasperi, Cécile Mirande, Corinne Mandin, Mohamed Guerrouache, et al.
A first overview of textile fibers, including microplastics, in indoor and outdoor environments. Environmental Pollution, 2017, 221, pp.453 - 458
10.1016/j.envpol.2016.12.013
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Mailler, J. Gasperi, Dominique Patureau, E. Vulliet, N. Delgenes, et al.. Fate of emerging and priority micropollutants during the sewage sludge treatment: Case study of Paris conurbation. Part 1: Contamination of the different types of sewage sludge. Waste Management, 2017, 59, pp.379-393
10.1016/j.wasman.2016.11.010
Johnny Gasperi
How and at which spatial scale assess the impact of the Paris Megacity on the Seine River quality? Case of some organic micropollutants. ARCUS French-Indian cooperation project, Anna University, Feb 2017, Chennai, India
Rachid Dris, Johnny Gasperi, Bounoua Byllel, Vincent Rocher, Bruno Tassin
Microplastics in Different Compartments of the Urban Water Cycle: From the Sources to the Rivers. Elsevier. Fate and Impact of Microplastics in Marine Ecosystems; From the Coastline to the Open Sea, 2017, Fate and Impact of Microplastics in Marine Ecosystems, 978-0-12-812271-6
Eva Risch, J
Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, S. Azimi, et al.. LCA of wet-weather emissions of an urban wastewater system: the case of the Greater Paris watershed. 18th International Conference on Diffuse Pollution and Eutrophication, Aug 2017, Los Angeles, United States. pp.2
Johnny Gasperi, Romain Mailler, Alexandre Bergé, Audrey Buleté, Sébastien Pichon, et al.
Résidus pharmaceutiques et détergents dans les boues résiduaires urbaines – Qualité des boues de fin de filière et évolution au sein des filières de traitement. 96ième colloque de l'ASTEE, Jun 2017, Liège, Belgique
Romain Mailler, Johnny Gasperi, Emmanuelle Vulliet, Audrey Buleté, Sam Azimi, et al.
Evaluation de l’empreinte des rejets de STEP de l’agglomération parisienne en résidus pharmaceutiques et autres polluants émergents. Revue L'Eau, L'Industrie, Les Nuisances, 2017, pp.90-96
Bruno Tassin, Johnny Gasperi, Rachid Dris
Plastiques : un septième continent en expansion. Conférences de la cité des sciences, May 2016, Paris, France
Eva Risch, J
Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, S. Azimi, et al.. Impacts of severe wet-weather events: how to account for temporal variability of unmanaged peak flows in an urban sewage treatment system?. SETAC Europe 26th Annual Meeting, May 2016, Nantes, France. pp.2
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Briand, D. Gateuille, J. Gaspéri, E. Moreau-Guigon, F. Alliot, et al.. Bilans et flux de polluants organiques dans le bassin de la Seine. [0] PIREN Seine. 2016
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Gateuille, Johnny Gasperi, Cyrielle Briand, Fabrice Alliot, Martine Blanchard, et al.. Flux de polluants organiques dans le bassin de la Seine. Conférence ARCEAU « micropolluants présents dans les milieux aquatiques et leur impact sur la santé humaine - exemple de l’agglomération parisienne », ARCEAU, Nov 2016, Paris, France
Rachid Dris, Emilie Strady, Lahens Lisa, Johnny Gasperi, Bruno Tassin
Preliminary study of microplastics in a tropical river impacted by a megacity (Saigon River, Ho Chi Minh City, Vietnam) . SETAC (Society of Environmental Toxicology and Chemistry) Nantes 2016, May 2016, Nantes, France. 2016
Johnny Gasperi, Romain Mailler, D Patureau, Emmanuelle Vulliet, S Deshayes, et al.
Contamination des boues résiduaires urbaines parisiennes par des micropolluants prioritaires et émergents et évolution au cours des filières de traitement des boues. 95ème congrès de l’ASTEE, ASTEE - Association Scientifique et Technique pour l’Eau et l’Environnement, May 2016, Issy-les-Moulineaux, France
Johnny Gasperi, Romain Mailler, Dominique Steyer Patureau, Emmanuelle Vulliet, Steven Deshayes, et al.
Contamination des boues résiduaires urbaines parisiennes par des micropolluants prioritaires et émergents - Évolution au cours des filières de traitement. Journées informations Eaux - JIE 2016, Oct 2016, Poitiers, France
Marie-Christine Gromaire, A Bak, Ph Branchu, Adèle Bressy, S
Bruzzone, et al.. ROULÉPUR: Evaluating innovative solutions for the source control of micropollutants associated with road and parking lot runoff. NOVATECH 2016, Jun 2016, Lyon, France
Elodie Moreau-Guigon, Fabrice Alliot, Johnny Gasperi, Martine Blanchard, Marie-Jeanne Teil, et al.
Seasonal fate and gas/particle partitioning of semi-volatile organic compounds in indoor and outdoor air. Atmospheric Environment, 2016, 147, pp.423-433
10.1016/j.atmosenv.2016.10.006
Marie-Jeanne Teil, Elodie Moreau-Guigon, Martine Blanchard, Fabrice Alliot, Johnny Gasperi, et al.
Endocrine disrupting compounds in gaseous and particulate outdoor air phases according to environmental factors. Chemosphere, 2016, 146, pp.94-104
10.1016/j.chemosphere.2015.12.015
Sophie Ayrault, Johnny Gasperi, Bogdan Muresan, Régis Moilleron
Soil contamination in the Seine River Basin: an attempt to relate land-use to persistent and emerging metallic pollutions. 18th International Conference on Heavy Metals in the Environment, Sep 2016, Ghent, Belgium
Rachid Dris, Johnny Gasperi, Bounoua Byllel, Vincent Rocher, Bruno Tassin
Microplastics in rivers: Focus on short-term temporal and spatial variabilities . SETAC (Society of Environmental Toxicology and Chemistry) Nantes 2016, May 2016, Nantes, France. 2016
Eva Risch, Johnny Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, Sam Azimi, et al.
Impacts of severe wet-weather events: How to account for temporal variability of unmanaged peak flows in an urban sewage treatment system? . SETAC Europe 26th Annual Meeting, May 2016, Nantes, France
Eva Risch, J
Gasperi, Marie-Christine Gromaire, Ghassan Chebbo, S. Azimi, et al.. Impacts of storm events on the emissions of an urban wastewater system: case of the Greater Paris. SETAC Europe 22nd LCA Case Study Symposium, Sep 2016, Montpellier, France. pp.1
Sophie Ayrault, Johnny Gasperi
Sédiments, racontez-moi l’histoire de la Seine…. Biofutur, 2016, 379, pp.48-51
Johnny Gasperi, Rachid Dris, C
Mirande-Bret, Corinne Mandin, Valérie Langlois, et al.. First overview of synthetic fibers in indoor and outdoor air. 14th international conference of Indoor Air Quality and Climate, Jul 2016, Ghent, Belgium
Yves Coquet, Romain Mailler, Johnny Gasperi, Audrey Buleté, Emmanuelle Vulliet, et al.
Élimination des résidus médicamenteux en STEP par traitement tertiaire : résultats obtenus avec le procédé CarboPlus micro-grain. Journées Informations Eaux, Oct 2016, Poitiers, France
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Rocher, R. Mailler, J. Gasperi, Y. Coquet, F. Nauleau, et al.. Élimination des polluants émergents dans les rejets de STEP - 1. Étude du procédé CarboPlus à l’échelle du prototype . Techniques Sciences Méthodes , 2016, 3
10.1051/tsm/201603012
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Gateuille, Cyrielle Briand, Johnny Gasperi, Elodie Moreau-Guigon, Fabrice Alliot, et al.. Mass balance of organic contaminants at a large basin scale: case of the Seine River basin (France). International Symposium on Persistent Toxic Substances, Oct 2016, Leipzig, Germany
Rachid Dris, Johnny Gasperi, Vincent Rocher, Mohamed Saad, Bruno Tassin
Microplastics and urban water. Colloque 2016 de l'ARET :Plastiques : quels enjeux pour demain ? Pollution physico-chimique & Impacts environnementaux et sanitaires, ARET : association française de recherches en toxicologie, Jun 2016, Valence TGV, France
Vincent Rocher, Johnny Gasperi
Micropolluants et assainissement – Focus sur les techniques de dépollution aval. Conférence ARCEAU « micropolluants présents dans les milieux aquatiques et leur impact sur la santé humaine - exemple de l’agglomération parisienne », ARCEAU, Nov 2016, Paris, France
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Mailler, J. Gasperi, Y. Coquet, C. Derome, A. Buleté, et al.. Élimination des polluants émergents dans les rejets de STEP - 2. Étude expérimentale des processus de sorption sur le charbon actif . Techniques Sciences Méthodes , 2016, 3
10.1051/tsm/201603028
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Mailler, J. Gasperi, Y. Coquet, C. Derome, A. Buleté, et al.. Removal of emerging micropollutants from wastewater by activated carbon adsorption: Experimental study of different activated carbons and factors influencing the adsorption of micropollutants in wastewater. Journal of Environmental Chemical Engineering, 2016, 4 (1)
10.1016/j.jece.2016.01.018
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Mailler, J. Gasperi, Y. Coquet, A. Buleté, E. Vulliet, et al.. Removal of a wide range of emerging pollutants from wastewater treatment plant discharges by micro-grain activated carbon in fluidized bed as tertiary treatment at large pilot scale. Science of the Total Environment, 2016, 542
10.1016/j.scitotenv.2015.10.153
Johnny Gasperi, Adèle Bressy, Alain Rabier, Baptiste Casterot
Origines, concentrations et caractéristiques des micro polluants dans les eaux urbaines. Conférence ARCEAU « micropolluants présents dans les milieux aquatiques et leur impact sur la santé humaine - exemple de l’agglomération parisienne », ARCEAU, Nov 2016, Paris, France
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Microplastics in various compartments of the urban water cycle. SETAC Europe 26th Annual Meeting, May 2016, Nantes, France
Steven Deshayes, Sifax Zedek, Véronique Eudes, Christine Droguet, Vincent Rocher, et al.
Devenir des micropolluants au sein des stations d’épuration : étude simultanée des filières eau et boue. 11e Congrès International du GRUTTEE, Feb 2016, Poitiers, France
Lahens Lisa, Rachid Dris, Emilie Strady, Johnny Gasperi, K Le Thuy Chung, et al.
Microplastic pollution in a tropical river impacted by a developing megacity. The Saigon River - Ho Chi Minh City, Vietnam.. SETAC Asia/Pacific Conference, Sep 2016, Singapour, Singapore
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Microplastics in different compartments of the urban water cycle: from the sources to the rivers. Micro 2016 - Fate and Impact of Microplastics in Marine Ecosystems: From the Coastline to the Open Sea, May 2016, Lanzarote, Spain
Rachid Dris, Johnny Gasperi, Mohammed Saad, Cécile Mirande-Bret, Bruno Tassin
Synthetic fibers in atmospheric fallout: a source of microplastics in the environment?. Marine Pollution Bulletin, 2016
10.1016/j.marpolbul.2016.01.006
Eva Risch, Johnny Gasperi, Ghassan Chebbo, Sam Azimi, Vincent Rocher, et al.
Impacts of storm events on the emissions of an urban wastewater system: case of the Greater Paris. 22nd SETAC Europe LCA Case Study Symposium, Sep 2016, Montpellier, France
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Microplastiques dans différents compartiments du cycle urbain de l’eau. Colloque ARET 2016 – Plastiques : quels enjeux pour demain? - Pollution physico-chimique et impacts environnementaux et sanitaires, Jun 2016, Valence, France
Régis Moilleron, Adèle Bressy, Johnny Gasperi, Darine Geara-Matta, Catherine Lorgeoux, et al.
Parabens and triclosan: from greywater to surface water at the Paris conurbation scale. 9th IWA Specialist Conference on Assessment and Control of Micropollutants and Hazardous Substances in Water, Nov 2015, Singapour, Singapore
Steven Deshayes, Véronique Eudes, C
Droguet, Vincent Rocher, Johnny Gasperi, et al.. Fate of alkyphenols and phthalates within a wastewater treatment plant using biofiltration. 9th IWA Specialist Conference on Assessment and Control of Micropollutants and Hazardous Substances in Water, IWA, Nov 2015, Singapour, Singapore
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bounoua Byllel, Saad Mohamed, et al.
Microplastic in urban sources and receiving water within an urban area. ICCE 2015 (International Conference on Chemistry and the Environment)- LEIPZIG, Sep 2015, Leipzig, Germany
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G. Bi, F. Monette, J. Gasperi. Analysis of the influence of rainfall variables on urban effluents concentrations and fluxes in wet weather. Journal of Hydrology, 2015, 523, pp.320-332
10.1016/j.jhydrol.2015.01.017
Steven Deshayes, Véronique Eudes, Christine Droguet, Magali Bigourie, Johnny Gasperi, et al.
Alkylphenols and Phthalates in Greywater from Showers and Washing Machines. Water, Air, and Soil Pollution, 2015, 226 (11)
10.1007/s11270-015-2652-7
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Dris, J. Gasperi, V. Rocher, M. Saad, Bruno Tassin. Premières investigations sur la contamination en microplastiques d’une zone urbaine. Techniques Sciences Méthodes , 2015, 12, pp.25-39
10.1051/tsm/201512025
Yves Coquet, Fabrice Nauleau, Johnny Gasperi, Romain Mailler, Olivier Rousselot, et al.
Traitement des polluants émergents dans les rejets de STEP - Etude du procédé CarboPlus® . 94ème congrès de l'ASTEE, ASTEE, Jun 2015, Montauban, France
Rachid Dris, Johnny Gasperi, Vincent Rocher, Saad Mohamed, Bruno Tassin
Microplastic contamination in an urban area: case of greater Paris. SETAC Europe 2015 (Society of Environmental Toxicology and Chemistry), May 2015, Barcelone, Spain
Romain Mailler, Johnny Gasperi, Yves Coquet, Steven Deshayes, Sifax Zedek, et al.
Removal of emerging micropollutants from wastewater discharges by powdered and micro-grain activated carbon - Progress of the CarboPlus® project. SETAC Europe 25th Annual Meeting, SETAC, May 2015, Barcelone, Spain
Johnny Gasperi, Rachid Dris, Cécile Mirande-Bret, Corinne Mandin, Valérie Langlois, et al.
First overview of microplastics in indoor and outdoor air. 15th EuCheMS International Conference on Chemistry and the Environment, Sep 2015, Leipzig, Germany
C Lorgeoux, R
Moilleron, Johnny Gasperi, S Ayrault, P Bonté, et al.. Temporal trends of persistent organic pollutants in dated sediment cores: Chemical fingerprinting of the anthropogenic impacts in the Seine River basin, Paris.. Science of the Total Environment, 2015, 541, pp.1355-1363
10.1016/j.scitotenv.2015.09.147
Eustache Goore Bi, Frédéric Monette, Johnny Gasperi, Yves Perrodin
Assessment of the ecotoxicological risk of combined sewer overflows for an aquatic system using a coupled “substance and bioassay” approach. Environmental Science and Pollution Research, 2015, 22, pp.4460-4474
10.1007/s11356-014-3650-9
Vincent Rocher, Anniet M
Laverman, Johnny Gasperi, Sam Azimi, Sabrina Guérin, et al.. Nitrite accumulation during denitrification depends on the carbon quality and quantity in wastewater treatment with biofilters.. Environmental Science and Pollution Research, 2015, 22 (13), pp.10179-10188
10.1007/s11356-015-4196-1
Rachid Dris, Johnny Gasperi, Vincent Rocher, Mohammed Saad, Nicolas Renault, et al.
Microplastic contamination in an urban area: a case study in Greater Paris. Environmental Chemistry, 2015, pp.2015
10.1071/EN14167
Eustache Gooré Bi, Frédéric Monette, Philippe Gachon, Johnny Gasperi, Yves Perrodin
Quantitative and qualitative assessment of the impact of climate change on a combined sewer overflow and its receiving water body. Environmental Science and Pollution Research, 2015, 22 (15), pp.8
10.1007/s11356-015-4411-0
Rachid Dris, Hannes Imhof, Wilfried Sanchez, Johnny Gasperi, François Galgani, et al.
Beyond the ocean: Contamination of freshwater ecosystems with (micro-) plastic particles. Environmental Chemistry, 2015, pp.32
10.1071/EN14172
Romain Mailler, Johnny Gasperi, Dominique Steyer Patureau, Emmanuelle Vulliet, Steven Deshayes, et al.
Contamination of various types of Parisian sewage sludge by a wide range of priority and emerging micropollutants. 15th EuCheMS International Conference on Chemistry and the Environment, Sep 2015, Leipzig, Germany
Johnny Gasperi, Sophie Ayrault, Elodie Moreau-Guigon, Fabrice Alliot, Pierre Labadie, et al.
Contamination des sols franciliens par les éléments métalliques et les micropolluants organiques. Colloque PIREN - fin de phase 6, May 2015, Paris, France
Elodie Moreau-Guigon, Fabrice Alliot, Johnny Gasperi, Pierre Labadie, Caroline Simonnet-Laprade, et al.
Contamination de l'atmosphère par les composés perturbateurs endocriniens en Ile-de-France. Colloque PIREN-Seine, fin de phse 6, May 2015, Paris, France
Rachid Dris, Johnny Gasperi, Vincent Rocher, Saad Mohamed, Bruno Tassin
Microplastiques: sources et milieux récépteurs dans un contexte urbain. 94 éme congrés de l'Association Scientifique et Technique pour l’Eau et l’Environnement (ASTEE), Des villes et des territoires sobres et sûrs., Jun 2015, Montauban, France
Johnny Gasperi, Rachid Dris, Vincent Rocher, Bruno Tassin
Microplastics in the continental area: an emerging challenge: Microplastiques en milieu continental : une problématique émergente. 2015, 2 p
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Mailler, J. Gasperi, Y. Coquet, S. Deshayes, S. Zedek, et al.. Study of a large scale powdered activated carbon pilot: Removals of a wide range of emerging and priority micropollutants from wastewater treatment plant effluents. Water Research, 2015, 72, pp.315-330
10.1016/j.watres.2014.10.047
Rachid Dris, Johnny Gasperi, Bruno Tassin
Assessing the microplastics in urban effluents and in the Seine River (Paris). Fate and impacts of microplastics in marine ecosystems, Jan 2014, Plouzané (Brest), France. 2014
Eustache Goore Bi, Frédéric Monette, Johnny Gasperi
Analysis of the influence of rainfall variables on urban effluents concentrations and fluxes in wet weather. 29th Eastern Canadian Symposium on Water Quality Research, Oct 2014, Quebec, Canada. pp.Numérique
Romain Mailler, Johnny Gasperi, Yves Coquet, Fabrice Nauleau, Olivier Rousselot, et al.
Traitement des eaux résiduaires urbaines par charbon actif en poudre - étude du procédé CarboPlus® pour les polluants prioritaires et émergents. Journées Information Eaux 2014, Apten; ENSI Poitiers, Nov 2014, Poitiers, France
Romain Mailler, Johnny Gasperi, Vincent Rocher, Yves Coquet, Cécile Cren-Olivé, et al.
Elimination des résidus médicamenteux dans les eaux résiduaires urbaines par charbon actif en poudre - Etude du procédé CarboPlus. 6ème Journées Doctorales en Hydrologie Urbaine, Jul 2014, Villeurbanne, France
Johnny Gasperi, Darine Geara, Catherine Lorgeoux, Adèle Bressy, Sifax Zedek, et al.
First assessment of triclosan, triclocarban and paraben mass loads at a very large regional scale: case of Paris conurbation (France).. Science of the Total Environment, 2014, 493, pp.854-61
10.1016/j.scitotenv.2014.06.079
Johnny Gasperi, Rachid Dris, Tiffany Bonin, Vincent Rocher, Bruno Tassin
Assessment of floating plastic debris in surface water along the Seine River.. Environmental Pollution, 2014, 195C, pp.163-166
10.1016/j.envpol.2014.09.001
Rachid Dris, Johnny Gasperi, Vincent Rocher, Bruno Tassin
Premières investigations de microplastiques en milieu urbain : cas de l’agglomération parisienne. GRUTTEE - Groupement de recherche universitaire sur les techniques de traitement et d'épuration des eaux, Oct 2014, Limoges, France
Elodie Moreau-Guigon, Johnny Gasperi, Fabrice Alliot, Marie-Jeanne Teil, P
Labadie, et al.. Dynamique de circulation des contaminants dans le continuum atmosphère – sol – rivière. Workshop 02/10 INTERZA - Micropolluants au sein des ZA : Mesures, traitements et changements de pratiques, Oct 2014, Strasbourg, France
Johnny Gasperi, Christel Sebastian, Véronique Ruban, M
Delamain, S. Percot, et al.. Micropollutants in urban stormwater: occurrence, concentrations and atmospheric contributions for a wide range of contaminants in three French catchments. 13th International Conference on Urban Drainage, Sep 2014, Kuching, Malaysia. pp.USB cle
Johnny Gasperi, C
Sebastian, Véronique Ruban, M. Delamain, S. Percot, et al.. Micropollutants in urban stormwater: occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments. Environmental Science and Pollution Research, 2014, 21 (8), pp.5267-5281
10.1007/s11356-013-2396-0
Elodie Moreau-Guigon, Fabrice Alliot, Johnny Gasperi, Marie-Jeanne Teil, Martine Blanchard, et al.
A multi-residue method for analysis of various endocrine disruptors in ambient air: application to urban habitats.. 38th International Symposium on Environmental Analytical Chemistry, Genève (Suisse), juin 2014., Jun 2014, Geneve, Switzerland. pp.clé USB
Johnny Gasperi, Marie-Christine Gromaire, Régis Moilleron, Emilie Caupos, Gilles Varrault, et al.
Micropolluants dans les eaux pluviales et les eaux usées : de leur caractérisation à leur traitement. Workshop 02/10 INTERZA - Micropolluants au sein des ZA : Mesures, traitements et changements de pratiques, Oct 2014, Strabourg, France
Mathieu Cladière, Céline Bonhomme, Lauriane Vilmin, Johnny Gasperi, Nicolas Flipo, et al.
Modelling the fate of nonylphenolic compounds in the Seine River -- part 2: Assessing the impact of global change on daily concentrations. Science of the Total Environment, 2014, 468 - 469, pp.1059 - 1068
10.1016/j.scitotenv.2013.09.029
Mathieu Cladière, Céline Bonhomme, Lauriane Vilmin, Johnny Gasperi, Nicolas Flipo, et al.
Modelling the fate of nonylphenolic compounds in the Seine River -- part 1: Determination of in-situ attenuation rate constants. Science of the Total Environment, 2014, 468 -469, pp.1050-1058
10.1016/j.scitotenv.2013.09.028
Romain Mailler, Johnny Gasperi, Yves Coquet, Cécile Cren-Olivé, Nathalie Cartiser, et al.
Treatment of pharmaceuticals by PAC: case study of a full-scale pilot at Seine Centre WWTP.. 13th IWA/IAHR International Conference on Urban Drainage 2014, Sep 2014, Sarawak, Malaysia
Romain Mailler, Johnny Gasperi, Yves Coquet, Cécile Cren-Olivé, Nathalie Cartiser, et al.
Removal of emerging micropollutants from WWTP discharges: is activated carbon suitable for wastewater application?. 7th International Conference on Environment Science and Technology, Jun 2014, Houston, United States
Rachid Dris, Johnny Gasperi, Vincent Rocher, Mohammed Saad, Bruno Tassin
Premières investigations sur la contamination en microplastiques dans une zone urbaine : cas de l'agglomération parisienne. 6émes journées doctorales en hydrologie urbaine, Jul 2014, Champs sur Marne, France
Romain Mailler, Johnny Gasperi, Ghassan Chebbo, Vincent Rocher
Priority and emerging pollutants in sewage sludge and fate during sludge treatment. Waste Management, 2014, 34 (7), pp.1217-1226
10.1016/j.wasman.2014.03.028
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Bergé, J. Gasperi, V. Rocher, L. Gras, A. Coursimault, et al.. Phthalates and alkylphenols in industrial and domestic effluents: Case of Paris conurbation (France). Science of the Total Environment, 2014, 488-489 (1), pp.26-35
10.1016/j.scitotenv.2014.04.081
Johnny Gasperi, C
Sebastian, V. Ruban, M. Delamain, S. Percot, et al.. Erratum to: Micropollutants in urban stormwater: occurrence, concentrations and atmospheric contributions for a wide range of contaminants in three French catchments.. 2014, pp.5282 - 5283
10.1007/s11356-014-2698-x
E Moreau-Guigon, Johnny Gasperi, F Alliot, M Cladière, M Blanchard, et al.
Contamination par les perturbateurs endocriniens. Loumagne, C and Tallec, G. L'observation long terme en environnement, Quae, 2013
Johnny Gasperi
Contaminants organiques en milieu urbain et dans les hydrosystèmes anthropisés. Sciences de l'environnement. Université Paris XII Val de Marne, 2013
Mathieu Cladière, Johnny Gasperi, Catherine Lorgeoux, Céline Bonhomme, Vincent Rocher, et al.
Alkylphenolic compounds and bisphenol A contamination within a heavily urbanized area: case study of Paris.. Environmental Science and Pollution Research, 2013, 20 (5), pp.2973- 2983
10.1007/s11356-012-1220-6
Alexandre Bergé, Mathieu Cladière, Johnny Gasperi, Annie Coursimault, Bruno Tassin, et al.
Meta-analysis of environmental contamination by phthalates.. Environmental Science and Pollution Research, 2013, 20 (11), pp.8057-76
10.1007/s11356-013-1982-5
Alexandre Bergé, Mathieu Cladière, Johnny Gasperi, Bruno Tassin, Régis Moilleron, et al.
Meta-analysis of environmental contamination by phtalates. 2013
Romain Mailler, Johnny Gasperi, V
Rocher, S. Gilbert-Pawlik, D. Geara-Matta, et al.. Biofiltration vs conventional activated sludge plants: what about priority and emerging pollutants removal?. Environmental Science and Pollution Research, 2013, epub ahead of print
10.1007/s11356-013-2388-0
Romain Mailler, Johnny Gasperi, Vincent Rocher, Ghassan Chebbo
Removal of priority and emerging substances by biological and tertiary treatments. 13th edition of the World Wide Workshop for Young Environmental Scientists (WWW-YES-2013) - Urban waters: resource or risks?, Jun 2013, Arcueil, France
J
Gasperi, B. Laborie, V. Rocher. Traitement des rejets urbains de temps de pluie par clarifloculation : quelle efficacité vis-à-vis des micropolluants ?. Novatech 2013 - 8ème Conférence internationale sur les techniques et stratégies durables pour la gestion des eaux urbaines par temps de pluie / 8th International Conference on planning and technologies for sustainable management of Water in the City, Jun 2013, Lyon, France
Elodie Moreau-Guigon, Johnny Gasperi, Fabrice Alliot, Mathieu Cladière, Martine Blanchard, et al.
Contamination de l'air par les contaminants organiques, bioindication et conséquences sur la contamination des sols. Colloque PIREN-Seine, Feb 2013, Paris, France. pp.11
A
Bergé, Johnny Gasperi, V. Rocher, L. Gras, A. Coursimault, et al.. Phthalates and alkylphenols in industrial effluents - Contribution to pollution transported in Paris sewer network. Techniques Sciences Méthodes , 2013, 11, pp.45-54
Johnny Gasperi, Bastien Laborie, Vincent Rocher
Treatment of combined sewer overflows by ballasted clarification: which pollutants are removed?. 8th International Conference NOVATECH, Jun 2013, Lyon, France. pp.Acte Novatech, acte numérique
Romain Mailler, Johnny Gasperi, Ghassan Chebbo, Vincent Rocher
Occurrence of micropollutants in final sludges and fate during treatment. 3rd BENELUX Young Water Professionals Conference, Oct 2013, Belval, Luxembourg. 2013
Mathieu Cladière, Lauriane Vilmin, Céline Bonhomme, Johnny Gasperi, Nicolas Flipo, et al.
Determination of in-situ biodegradation rate constants of nonylphenolic compounds in the Seine River. 14th EuCheMS International Conference on Chemistry and the Environment, Jun 2013, Barcelone, Spain. 2013
Mathieu Cladière, Céline Bonhomme, Lauriane Vilmin, Johnny Gasperi, Nicolas Flipo, et al.
Assessing the impact of global change on micropollutants in aquatic ecosystems: Modelling the fate of nonylphenolic compounds in the Seine River. 14th EuCheMS International Conference on Chemistry and the Environment, Jun 2013, Barcelone, Spain
Johnny Gasperi, Cécile Mirande-Bret, Ghassan Chebbo, Régis Moilleron, Mohamed Saad, et al.
"Micropolluants dans les eaux pluviales urbaines : concentrations, flux et contributions atmosphériques. Résultats des campagnes de mesure sur trois bassins versants", ANR INOGEV : Innovations pour une Gestion durable de l'Eau en Ville, Tâche 3, Rapport de sous-tâche. [Rapport de recherche] ANR Ville Durable. 2013
Mathieu Cladière, Céline Bonhomme, Lauriane Vilmin, Johnny Gasperi, Nicolas Flipo, et al.
Simulation du devenir des alkylphénols dans la Seine.. Colloque annuel du PIREN-Seine, Feb 2013, Paris, France
Johnny Gasperi, C
Sebastian, V. Ruban, M. Delamain, S. Percot, et al.. Contamination en micropolluants des EP urbaines: synthèse des résultats des campagnes de mesures INOGEV. Colloque de clôture des programmes INOGEV et GDEP, Dec 2013, Nantes, France
R
Moilleron, C. Lorgeoux, V. Ruban, Johnny Gasperi, C. Sebastian, et al.. Harmonisation des méthodes et procédures expérimentales. Colloque de clôture des programmes INOGEV et GDEP, Dec 2013, Nantes, France
Johnny Gasperi, Mathieu Cladière, Sally Zgheib, Vincent Rocher, Régis Moilleron, et al.
Substances prioritaires dans les rejets urbains de temps de pluie: Cas du déversoir de Clichy. Techniques Sciences Méthodes , 2012, 4, pp.30-43
F
Lucas, Johnny Gasperi, Bruno J. Lemaire, Vincent Rocher, A. Goncalves, et al.. Impact de la décantation lamellaire accélérée sur la diversité bactérienne des eaux usées traitées par temps de pluie. ETEGE, Apr 2012, Aussois, France. 2012
A Bergé, Johnny Gasperi, V Rocher, A Coursimault, R Moilleron
Cycle journalier des phtalates et alkylphénols en région parisienne : cas de la station d’épuration de Seine Centre. 9ème Congrès International du GRUTTEE, Oct 2012, Aix en Provence, France
Solène Gilbert, Johnny Gasperi, V
Rocher, Catherine Lorgeoux, Ghassan Chebbo. Removal of alkylphenols and polybromodiphenylethers by a biofiltration treatment plant during dry and wet-weather periods.. Water Science and Technology, 2012, 65 (9), pp.1591-8
10.2166/wst.2012.055
Alexandre Bergé, Johnny Gasperi, Vincent Rocher, Annie Coursimault, Régis Moilleron
Phthalate and alkylphenol removal within wastewater treatment plants using physicochemical lamellar clarification and biofiltration. 11th International Conference on Water Pollution: Modelling, Monitoring and Management - Water Pollution XI,, Oct 2012, United Kingdom. pp.357-368
10.2495/WP120311
Régis Moilleron, Johnny Gasperi, Vincent Rocher, Ghassan Chebbo
Organic pollutants in urban sewer systems and fate in wastewater treatment plants. Workshop on Water and Urban Environment, Jun 2012, Lyon, France
Antoine Bruge, Marius Dhamelincourt, Laurent Lanceleur, Mathilde Monperrus, Johnny Gasperi, et al.
A first estimation of uncertainties related to microplastic sampling in rivers. Science of the Total Environment, 2012, 718:137319
10.1016/j.scitotenv.2020.137319
M Cladière, C Lorgeoux, Johnny Gasperi, Céline Bonhomme, V Rocher, et al.
Flux des alkylphénols et du bisphénol A sur le bassin de la Seine : Premières estimations en Île-de-France. Colloque Piren-Seine, Feb 2012, Paris, France
Vincent Rocher, Catherine Paffoni, Alexandre Gonçalves, Sabrina Guérin, Sam Azimi, et al.
Municipal wastewater treatment by biofiltration: comparisons of various treatment layouts. Part 1: assessment of carbon and nitrogen removal.. Water Science and Technology, 2012, 65 (9), pp.1705-12
10.2166/wst.2012.105
Johnny Gasperi, Françoise Lucas, Régis Moilleron, Gilles Varrault, Jean-Marie Mouchel, et al.
Contaminants dans les eaux résiduaires urbaines et qualité des rejets: Approches méthodologiques d'OPUR 3. Techniques Sciences Méthodes , 2012, pp.14-20
Johnny Gasperi, R Moilleron, G Chebbo
Priority pollutants in urban sewer system: contributions of “OPUR” research programme. UDM 9th International Conference on Urban Drainage Modelling, Sep 2012, Belgrade, Serbia
Alexandre Bergé, Johnny Gasperi, Vincent Rocher, Annie Coursimault, Régis Moilleron
Devenir des phtalates en milieu urbain: De l'égout au rejet de la station d'épuration. Techniques Sciences Méthodes , 2012, 4, pp.21-29
A Bergé, L Gras, G Chabance, V Rocher, Johnny Gasperi, et al.
Phtalates et alkylphénols dans les effluents industriels : contribution à la pollution véhiculée dans les réseaux d’'assainissement. 5èmes Journées Doctorales en Hydrologie Urbaine - JDHU 2012, Oct 2012, Strasbourg, France
A
Bergé, Johnny Gasperi, V. Rocher, A. Coursimault, R. Moilleron. Occurrence and fate of phthalate in urban area: Case of Parisian sewer network and wastewater treatment plant [Devenir des phtalates en milieu urbain: De l'égout au rejet de la station d'épuration]. Techniques Sciences Méthodes , 2012, 4, pp.21
Sophie Ayrault, Sabine Barles, Hélène Blanchoud, Enrique Barriuso, Johnny Gasperi, et al.
Contaminants en sols urbains : une revue. 11èmes Journées d’Etude des Sols, Mar 2012, Versailles, France. 2012
Johnny Gasperi, Sally Zgheib, Mathieu Cladière, Vincent Rocher, Régis Moilleron, et al.
Priority pollutants in urban stormwater: Part 2 - Case of combined sewers. Water Research, 2012, 46 (20), pp.6693-6703
10.1016/j.watres.2011.09.041
Alexandre Bergé, Mathieu Cladière, Johnny Gasperi, Annie Coursimault, Bruno Tassin, et al.
Meta-analysis of environmental contamination by alkylphenols.. Environmental Science and Pollution Research, 2012, 19 (9), pp.3798-819
10.1007/s11356-012-1094-7
Johnny Gasperi, F
Lucas, R. Moilleron, G. Varrault, Jean-Marie Mouchel, et al.. Pollutants in urban wastewater and quality of effluents: Methodologies applied during the OPUR research program [Contaminants dans les eaux résiduaires urbaines et qualité des rejets: Approches méthodologiques d'OPUR 3]. Techniques Sciences Méthodes , 2012, 4, pp.14
Johnny Gasperi, Bastien Laborie, Vincent Rocher
Treatment of combined sewer overflows by ballasted flocculation: Removal study of a large broad spectrum of pollutants. Chemical Engineering Journal, 2012, 211, pp.293-301
10.1016/j.cej.2012.09.025
Mathieu Cladière, Johnny Gasperi, Catherine Lorgeoux, Céline Bonhomme, Cécile Mirande-Bret, et al.
Urban cycle of alkylphenol and bisphenol a: the case of Paris.. 13th EuCheMS International Conference on Chemistry and the Environment (ICCE 2011), Sep 2011, Zurich, Switzerland
Solène Gilbert, Johnny Gasperi, Vincent Rocher, Catherine Lorgeoux, Ghassan Chebbo
Traitement des eaux usées de temps de pluie à la station seine centre: Étude des paramétres globaux, des alkylphénols et des polybromodiphényléthers. Techniques Sciences Méthodes , 2011, pp.8
Christel Sebastian, Régis Moilleron, Véronique Ruban, Stéphane Percot, S Barraud, et al.
INOGEV project: an original French approach in micropollutant characterization assessment in urban wet weather effluents and atmospheric deposits. International conference on urban drainage, Sep 2011, Porto Alegre, Brazil. 8p
Mathieu Cladière, Johnny Gasperi, Catherine Lorgeoux, Céline Bonhomme, Vincent Rocher, et al.
Bisphénol A : Premiers résultats sur le bassin de la Seine. Techniques Sciences Méthodes , 2011, pp.43-52
C
Sebastian, R. Moilleron, V. Ruban, S. Barraud, C. Lorgeoux, et al.. INOGEV project – an original French approach in micropollutant characterization assessment in urban wet weather effluents and atmospheric deposits. 12nd International Conference on Urban Drainage (ICUD), 2011, Porto Alegre, Brazil
Vincent Rocher, Johnny Gasperi, Sam Azimi, Solène Gilbert, Catherine Paffoni
Comportement des substances prioritaires sur les ouvrages de traitement des eaux usées : cas de la décantation et de la biofiltration. Techniques Sciences Méthodes , 2011, pp.13
Johnny Gasperi, Stéphane Garnaud, Vincent Rocher, Régis Moilleron
Priority substances in combined sewer overflows: Case study of the Paris sewer network. Water Science and Technology, 2011, pp.6
Johnny Gasperi, Mathieu Cladière, Vincent Rocher, R
Moilleron. Combined sewer overflows and EU Water Framework Directive.. SWITCH meeting, The Future of Urban Water: Solutions for Livable and Resilient Cities, Paris (France), janvier 2011., Jan 2011, Paris, France. pp.4
J.M
Mouchel, M.J. Teil, H. Blanchard, F. Alliot, C. Bourges, et al.. Transfert de micropolluants par le ruissellement et le réseau d'assainissement. 2011
Mathieu Cladière, Johnny Gasperi, Catherine Lorgeoux, Bruno Tassin
Discharges of endocrine disrupting chemicals by combined sewer overflows into receiving water: case-study of the Paris conurbation. 11th edition of the World Wide Workshop for Young Environmental Scientists (WWW-YES-2011) - Urban Waters: resource or risks?, Jun 2011, Arcueil, France
F
Eymery, J.M. Choubert, B. Lepot, J. Gasperi, J. Lachenal, et al.. Guide technique opérationnel : Pratiques d'échantillonnage et de conditionnement en vue de la recherche de micropolluants prioritaires et émergents en assainissement collectif et industriel. [Rapport de recherche] irstea. 2011, pp.85
Johnny Gasperi, E
Moreau, P. Labadie, M. Blamchard, M.J. Teil, et al.. Contamination de la Seine par les micropolluants organiques : Effet des conditions hydriques et de l'urbanisation. 2011
C
Lorgeoux, R. Moilleron, Johnny Gasperi, Bruno Tassin, S. Ayrault, et al.. Historique de la contamination des milieux: – cas de la Seine. Conférence, 2011, Lyon, France
Solène Gilbert, Johnny Gasperi, Vincent Rocher, Catherine Lorgeoux, Ghassan Chebbo
Are wastewater treatment plants suitable to treat stormwater pollution? Case-study of an adjustable trickling filter plant.. 7th IWA specialist conference on assessment and control of micropollutants/hazardous substances in water, Jul 2011, Sydney, Australia. pp.9
C
Gounou, Gilles Varrault, K. Amedzro, Johnny Gasperi, R. Moilleron, et al.. Research of trace metals as markers of entry pathways in combined sewers.. Water Science and Technology, 2011, 63 (4), pp.633-40
10.2166/wst.2011.219
Johnny Gasperi, Stéphane Garnaud, Vincent Rocher, Régis Moilleron
Polluants prioritaires dans les rejets urbains de temps de pluie : cas de la ville de Paris. Journées Franco-Brésiliennes en Hydrologie Urbaine, Paris, France. 2010
Sandrine Feydel, François Galgani, Michel Loubry, Johnny Gasperi, Cécile Ostria, et al.
Océans de plastique. 2010
B
Muresan, C. Lorgeoux, Johnny Gasperi, R. Moilleron. Fate and spatial variations of polybrominated diphenyl ethers in the deposition within a heavily urbanized area: case of Paris (France).. Water Science and Technology, 2010, 62 (4), pp.822-8
10.2166/wst.2010.931
S
Gilbert, Johnny Gasperi, V. Rocher, C. Lorgeoux, G. Chebbo. Removal of PBDE and alkylphenol in a trickling filter wastewater treatment plant during dry and wet weather periods. Proceeding of the 11th European Meeting on Environmental Chemistry, 2010, Portoroz, Slovenia
C
Lorgeoux, Johnny Gasperi, I. Djouarev, R. Moilleron, Bruno Tassin, et al.. Historical trends of PCBs, PAHs, PBDEs and alkylphénols in dated sediments from flood plains of the Seine River (France). The 11th European Meeting on Environmental Chemistry, 2010, Portoroz, Slovenia
M
Cladière, Johnny Gasperi, C. Lorgeoux, Bruno Tassin. Alkylphénols et bisphénol A dans le bassin de la Seine : Évolution des concentrations et des flux de Marnay à Poses. 2010
Mathieu Cladière, Johnny Gasperi, S
Gilbert, Catherine Lorgeoux, Bruno Tassin. Alkylphenol ethoxylates and bisphenol A in surface water within a heavily urbanized area, such as Paris. Marinov, A. M. ; Brebbia, C. A. Water Pollution X, Wit Press, pp.131-142, 2010, WIT Transactions on Ecology and the Environment, 978-1-84564-448-2
10.2495/wp100121
Johnny Gasperi, Marie-Christine Gromaire, M
Kafi-Benyahia, R. Moilleron, Ghassan Chebbo. Contributions of wastewater, runoff and sewer deposit erosion to wet weather pollutant loads in combined sewer systems.. Water Research, 2010, 44 (20), pp.5875-86
10.1016/j.watres.2010.07.008
I
Lefèvre, P. Bonté, C. Priadi, L. Carbonaro-Lestel, J.M. Mouchel, et al.. Archives sédimentaires, témoignages de l'histoire du développement du bassin. [Rapport de recherche] PIREN-Seine. 2010
S
Gilbert, Johnny Gasperi, V. Rocher, C. Lorgeoux, G. Chebbo. Are wastewater treatment plants suitable to treat stormwater pollution? Case-study of Seine-Centre plant. 6th International Conference on Sewer Processes and Networks, 2010, Surfers Paradise, Australia
C
Lorgeoux, I. Djouarev, R. Moilleron, Johnny Gasperi, Bruno Tassin, et al.. Analyse historique de la contamination en polluants persistants (HAP, PCB, alkylphénols et PDBE) sur le bassin de la Seine. Colloque 2010 du PIREN-Seine, 2010, Paris, France
Johnny Gasperi, Vincent Rocher, Solène Gilbert, Sam Azimi
Occurence and removal of priority pollutants by lamella clarification and biofiltration. Water Research, 2010, 44 (10), pp.3065-3076
10.1016/j.watres.2010.02.035
M.J
Teil, F. Alliot, H. Blanchard, C. Bourges, M. Cladière, et al.. Transfert de composés perturbateurs endocriniens par le réseau d'assainissement et le réseau hydrographique à l'exutoire du bassin versant de l'Orge. 2010
G
Chebbo, Marie-Christine Gromaire, Céline Bonhomme, Bernard de Gouvello, Johnny Gasperi, et al.. OPUR : l'observatoire des polluants urbains en Île de France. OPUR : l'observatoire des polluants urbains en Île de France, 2010, Nantes, France
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Polluants prioritaires dans les eaux de surface : qu'en est-il de la Seine à Paris ?. Techniques Sciences Méthodes , 2010, 11, pp.41
M
Revitt, Johnny Gasperi, L. Scholes. The fate and behaviour of priority pollutants in end-of-pipe wastewater treatment plants. Xenobiotics in the Urban Water Cycle, XENOWAC 2009, 2009, Paphos, Cyprus
Johnny Gasperi, V
Rocher. Recherche élargie de micropolluants en STEP: retour d'expérience OPUR – SIAAP. OPUR – SIAAP, 2009, Romaiville, France
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Priority substances in combined sewer overflows. Xenobiotics in the Urban Water Cycle XENOWAC 2009, 2009, Paphos, Cyprus. 5-6 p
B
Muresan, C. Lorgeoux, Johnny Gasperi, R. Moilleron. Polybrominated diphenyl ethers cycling in the Paris Region, France. Xenobiotics in the Urban Water Cycle, XENOWAC 2009, 2009, Paphos, Cyprus
Johnny Gasperi, Stéphane Garnaud, Vincent Rocher, Régis Moilleron
Priority pollutants in surface waters and settleable particles within a densely urbanized area: case study of Paris (France).. Science of the Total Environment, 2009, 407 (8), pp.2900-8
10.1016/j.scitotenv.2009.01.024
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Priority pollutants in wastewaters and combined sewer overflows. Xenobiotics in the Urban Water Cycle, XENOWAC 2009, 2009, Paphos, Cyprus
Johnny Gasperi, V
Rocher, S. Azimi. Abattements des substances prioritaires par décantation et par biofiltration. Conférence, 2009, Nancy, France
F
Lucas, L. Betelli, Johnny Gasperi, V. Rocher. Efficiency of chemically aided sedimentation for bacterial removal from wastewater. Swiss Microbial Ecology SME09, Jan 2009, Einsiedeln, Switzerland
Marc Chevreuil, Martine Blanchard, C Dargant, Johnny Gasperi, Catherine Gourlay, et al.
La micropollution organique dans le bassin de la Seine, maîtriser l'impact des molécules créées par l'homme. Agence de l'eau Seine Normandie, 2009, Marc Chevreuil, 978-2-918251-08-8
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Polluants prioritaires dans les eaux de surface et les particules sédimentables : qu'en est-il de la Seine à Paris ?. Conference, 2009, Paris, France
M.J
Teil, F. Alliot, H. Blanchard, C. Bourges, C. Dargnat, et al.. Contamination de l'Orge et de la Seine par des micropolluants organiques : PBDE, phtalates, alkylphénols et HAP sous différentes conditions hydrologiques. 2009
Pierre Labadie, Adeline Arini, Martine Blanchard, Adeline Bourgeault, Marc Chevreuil, et al.
Contamination du bassin versant de l'ORGE par les micropolluants et effets toxiques associés. Colloque PIREN-Seine 2009, Feb 2009, Paris, France
Johnny Gasperi, C
Lorgeoux, R. Moilleron, Marie-Christine Gromaire, Ghassan Chebbo. Settling Velocity Grading of Particle Bound PAHs: Case of Wet Weather Flows within Combined Sewer Systems. JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 2009, 135 (11), pp.1155--1160
10.1061/(ASCE)0733-9372(2009)135:11(1155)
Johnny Gasperi, M
Kafi-Benyahia, C. Lorgeoux, R. Moilleron, Marie-Christine Gromaire, et al.. Wastewater quality and pollutant loads in combined sewers during dry weather periods. Urban Water Journal, 2008, 5 (4), pp.305
K
Seriki, Johnny Gasperi, L. Castillo, L. Scholes, E. Eriksson, et al.. Priority pollutants behaviour in end of pipe wastewater treatment plants. 2008
Johnny Gasperi, V
Rocher, S. Garnaud, R. Moilleron. Priority pollutants within heavily urbanized area: what about receiving waters and settleable sediments?. 11th International Conference on Urban Drainage, 2008, Edinburgh, United Kingdom
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Polluants prioritaires dans les eaux usées et les rejets urbains de temps de pluie. Techniques Sciences Méthodes , 2008, 11 (NC), pp.49
Marie-Christine Gromaire, M
Kafi-Benyahia, Johnny Gasperi, M. Saad, R. Moilleron, et al.. Settling velocity of particulate pollutants from combined sewer wet weather discharges.. Water Science and Technology, 2008, 58 (12), pp.2453-65
10.2166/wst.2008.835
Johnny Gasperi, F
Lucas. Efficacité épuratoire des filières de traitement des eaux résiduaires urbaines : aspects microbiologiques et physico-chimiques. Séminaire OPUR, 2008, Colombes, France
Johnny Gasperi, Stéphane Garnaud, Vincent Rocher, Régis Moilleron
Priority pollutants in wastewater and combined sewer overflow.. Science of the Total Environment, 2008, 407 (1), pp.263-72
10.1016/j.scitotenv.2008.08.015
Johnny Gasperi, C
Lorgeoux, C. Gourlay, Estelle Kuhn, R. Moilleron. Alkylphénols et Hydrocarbures Aromatiques Polycycliques dans les eaux du bassin de l'Orge Aval. Quantification et faisabilité du suivi de la contamination par échantillonnage passif. 2008
Mounira Kafi-Benyahia, Johnny Gasperi, R
Moilleron, Marie-Christine Gromaire, Ghassan Chebbo. Spatial variability of the characteristics of combined wet weather pollutant loads in Paris.. Water Research, 2008, 42 (3), pp.539-49
10.1016/j.watres.2007.08.008
L
Scholes, M.D. Revitt, Johnny Gasperi, E. Donner. Priority pollutant behaviour in stormwater Best Management Practices (BMPs). 2008
J
Gasperi, C. Lorgeoux, C. Gourlay, E. Kühn, R. Moilleron. Alkylphénols et Hydrocarbures Aromatiques Polycycliques dans les eaux du bassin de l'Orge Aval. Quantification et faisabilité du suivi de la contamination par échantillonnage passif. irstea. 2008, pp.18
Johnny Gasperi, S
Garnaud, V. Rocher, R. Moilleron. Polluants prioritaires dans les eaux usées et les rejets urbains de temps de pluie : cas de Paris (France). 7e Congrès international du GRUTTEE, 2007, Pau, France
Johnny Gasperi, V
Rocher, R. Moilleron, G. Chebbo. Review on the hydrocarbon fate within combined sewers: Case of the "Le Marais" urban catchment (1994-2005). Polycyclic Aromatic Compounds, 2007, 27 (2), pp.123
Johnny Gasperi, V
Rocher, S. Azimi, R. Moilleron, G. Varrault, et al.. Hydrocarbures aliphatiques et aromatiques introduits dans le réseau d'assainissement via les effluents domestiques. Techniques Sciences Méthodes , 2007, 4 (NC), pp.77
Johnny Gasperi, L
Sholes, M. Revitt. SCOREPP Programme:Priority pollutants behavior in end-of-pipe wastewater treatment plants. 2007
Johnny Gasperi, R
Moilleron, G. Chebbo. Spatial variability of hydrocarbon loads in dry and wet weather flows in the Parisian combined sewer. 5th International Conference on Sewer Processes and Networks, 2007, Delft, Netherlands
Johnny Gasperi, Régis Moilleron, Ghassan Chebbo
Aliphatic and polycyclic aromatic hydrocarbon loads within the Parisian combined sewer during dry and wet weather periods. La Houille Blanche - Revue internationale de l'eau, 2007, 4, pp.85--91
10.1051/lhb:2007051
Johnny Gasperi, R
Moilleron, G. Chebbo. Pollution en hydrocarbures transitant par temps sec et par temps de pluie dans le réseau d'assainissement unitaire parisien. La Houille Blanche - Revue internationale de l'eau, 2007, 2007 (4), pp.85
Johnny Gasperi, R
Moilleron, Ghassan Chebbo. Spatial variability of polycyclic aromatic hydrocarbon load of urban wet weather pollution in combined sewers. Water Science and Technology, 2006, 54 (06-juil), pp.185--193
10.2166/wst.2006.576
Johnny Gasperi
Introduction and transfer of hydrocarbons on different spatial scales within the parisian combined sewer. Sciences of the Universe [physics]. Ecole des Ponts ParisTech, 2006. English
Johnny Gasperi, V Rocher, R
Moilleron, Ghassan Chebbo. Hydrocarbon loads from street cleaning practices: Comparison with dry and wet weather flows in a Parisian combined sewer system. Polycyclic Aromatic Compounds, 2005, 25 (2), pp.169--181
10.1080/10406630590930734
Johnny Gasperi, Vincent Rocher, Thierry Celaudon, Régis Moilleron, Ghassan Chebbo
Hydrocarbons and heavy metals fixed to the lift station sediment of the Paris combined sewer network.. Water Science and Technology, 2005, 52 (3), pp.119-27
Johnny Gasperi, R Moilleron, Ghassan Chebbo
Spatial variability of PAH load of urban wet weather pollution in the Parisian combined sewer. La Houille Blanche - Revue internationale de l'eau, 2005, 5, pp.35--40
V
Rocher, Johnny Gasperi, S Azimi, T Celaudon, R. Moilleron, et al.. Hydrocarbons and heavy metals fixed to the lift station sediments of the Paris agglomeration. La Houille Blanche - Revue internationale de l'eau, 2004, 2, pp.22--30
10.1051/lhb:200402001

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HAL : Dernières publications

  • [hal-03764183] Allocating synthetic population to a finer spatial scale: an integer quadratic programming formulation

    Agent-Based Models (ABM) are being increasingly used to evaluate urban systems, urban policies and environmental impacts. One prerequisite for using the ABM framework consists of generating a synthetic population representative of the actual population, featuring the appropriate attributes with respect to model objectives. A precise spatial positioning of the synthetic population agents is often key to ensuring ABM modeling quality. This paper considers the problem of allocating synthetic population agents to a finer spatial scale. Such an allocation process is performed from a higher-level statistical area where a synthetic population can be generated, i.e. a container statistical area (CSA), to several nested non-overlapping elementary statistical areas (ESA), where only marginals are available. This allocation step relies not only on common attributes between CSA and ESA, but also on additional discriminatory attributes, i.e. attributes of interest, estimated from external data sources. The case study examined herein is based on French census and fiscal data. Common attributes include 8 socio-demographic variables, totaling 17 modalities. An additional attribute of interest, i.e. income, has also been added. The allocation problem at hand is modeled as an integer quadratic programming problem. An exact algorithm is first applied to solve the problem; the applicability of this algorithm proves to be limited to small-size synthetic populations. A heuristic is proposed to handle the allocation of larger-size synthetic populations. Tests carried out on the case study show that this heuristic yields near optimal solutions; it is also computationally efficient and may fulfill the needs of a majority of users.

  • [hal-04030611] Enhancement of Vehicle Eco-Driving Applicability through Road Infrastructure Design and Exploitation

    Energy moderation of the road transportation sector is required to limit climate change and to preserve resources. This work is focused on the moderation of vehicle consumption by optimizing the speed policy along an itinerary while taking into account vehicle dynamics, driver visibility and the road's longitudinal profile. First, a criterion is proposed in order to detect speed policies that are impeding drivers' eco-driving ability. Then, an energy evaluation is carried out and an optimization is proposed. A numerical application is performed on a speed limiting point with 20 usage cases and 5 longitudinal slope values. In the hypothesis of a longitudinal slope of zero, energy savings of 27.7 liter per day could be realized by a speed sign displacement of only 153.6 m. Potential energy savings can increase to up to 308.4 L per day for a −4% slope case, or up to 70.5 L per day for an ordinary −2% slope, with a sign displacement of only 391.5 m. This results in a total of 771,975 L of fuel savings over a 30 year infrastructure life cycle period. Therefore a methodology has been developed to help road managers optimize their speed policies with the aim of moderating vehicle consumption.

  • [hal-02469451] Application of Response Surface Methodology to Optimise the Antioxydant Activity of a Saithe (Pollachus Virens) Hydrolysate

    The objective of this study was to produce, by an enzymatic hydrolysis process at a pilot scale, a saithe (Pollachius virens) hydrolysate with a high antioxidant activity. Design of experiment methodology, based on laboratory-scale experiments, was used to obtain a behavioral reduced model that allows one to determine the optimal operating conditions maximizing the antioxidant activity. Two specifications were studied: the degree of hydrolysis and the antioxidant activity. The effects of the following hydrolysis parameters (temperature, pH, enzyme concentration, and operating time) were studied and presented as response surfaces. From these results, a multifactorial optimization was performed and the Pareto optimal set of efficient solutions was evaluated. The optimal conditions were tested at laboratory scale and then validated by comparison with tests carried out on a pilot plant.

  • [hal-00342916] Fractionation of fish protein hydrolysates by ultrafiltration and nanofiltration: impact on peptidic populations

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  • [hal-01346174] Influence de la saisonnalité sur la composition biochimique de Sargassum muticum, estimée par spectrométrie IR

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  • [hal-01346170] Use of membrane systems for recovering phenolic compounds from the invasive macroalgae Sargassum muticum

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  • [hal-02115032] Total phenolic content and biological activities of enzymatic extracts from Sargassum muticum (Yendo) Fensholt

    Seaweeds are potentially excellent sources of bio- active metabolites that could represent useful leads in the de- velopment of new functional ingredients in pharmaceutical and cosmetic industries. In the last decade, new marine bioprocess technologies have allowed the isolation of sub- stances with biological properties. The brown alga Sargassum muticum (Yendo) Fensholt (Ochrophyta) was en- zymatically hydrolyzed to prepare water-soluble extracts by using six different commercially available carbohydrate- degrading enzymes and two proteases. Evaluation of 2,2- diphenyl-1-picrylhydrazyl (DPPH) and ferric reducing antiox- idant power (FRAP) antioxidant, tyrosinase, elastase, and bio- film inhibition, antibacterial and antiviral activities as well as evaluation of cytotoxicity were realized for each extract. Total phenolic content was measured for extract characterization, and solid-phase extraction was useful to purify the enzymatic extract. Soluble total phenolic content of S. muticum Viscozyme extract was highest with 6.4% of dry weight. Enzymatic Celluclast and Viscozyme extracts had the lowest value of DPPH IC50 indicating a strong antiradical activity, 0.6 mg mL−1, in comparison with other enzymes. The ferric reducing antioxidant power ranged between 48.7 μM Fe 2+ Eq, digested with Viscozyme, and 60.8 μM Fe 2+ Eq, digested with Amyloglucosidase. Tyrosinase inhibition activity of S. muticum Neutrase extract was 41.3% higher compared to other enzymes. Elastase inhibition activity of S. muticum Shearzyme extract had highest activity (32.8%). All enzymat- ic extracts showed no cytotoxic effect towards the kidney Vero cells. Meanwhile, only S. muticum Neutrase and Alcalase ex- tracts exhibited potential antiviral activity. In addition, S. muticum Viscozyme and Shearzyme extracts showed prom- ising activity in suppressing the biofilm formation against Pseudomonas aeruginosa and Escherichia coli, respectively. Purification of S. muticum Viscozyme extracts by solid-phase extraction managed to concentrate the phenolic content and improve the bioactivity. These results indicate the promising potential of enzyme-assisted followed by solid-phase extrac- tion in recovering phenolic content and in improving its bioactivity.

  • [hal-01346164] Enzymatic extraction of molecules from brown macroalgae

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  • [hal-01346177] Enzymatic extraction of phenolic compounds in different species of French and Indonesia Sargassum

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  • [hal-02336441] Influence de la saisonnalité sur la composition biochimique de Sargassum muticum, estimée par spectrométrie Infra-Rouge.

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  • [hal-01346110] Valorization of the macroalga Sargassum muticum by enzymatic hydrolysis. Interest of surfactants to improve the extraction of phlorotannins and polysaccharides

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  • [hal-01346137] Biorefining of proliferative macroalgae Sargassum muticum by enzymatic hydrolysis

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  • [hal-01346168] Biorefining of a proliferative macroalga Sargassum muticum by enhanced enzymatic hydrolysis

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  • [hal-01346183] Extraction de composés phénoliques et autres substances d'intérêt contenus dans les algues brunes Sargassum muticum par hydrolyse enzymatique et procédés membranaires

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  • [hal-01346155] Total phenolic content and biological activity of French Sargassum muticum enzymatic hydrolysates

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  • [hal-01346111] Chemical caracterization and photoprotective activity measurement of extracts from the red macroalga Soleria chordalis

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  • [hal-01346117] Rapid geographical differentition of a european spred brown algae

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  • [hal-01346129] recovery of aroma compounds from seafood cooking juices by membranes processes

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  • [hal-01078844] Chemical characterization and photoprotective activity measurement of extracts from the red macroalga Solieria chordalis

    The photoadaptive responses of macroalgal communities to abiotic stresses have been studied, and a number of UV-absorbing molecules have been identified. Among these compounds, photoprotective compounds such as mycosporine-like amino acids and carotenoids have been isolated from various red macroalgal species. However, several substances still need to be characterized. We describe the preparation of photoprotective extracts obtained from Solieria chordalis. Two solvents, 2-octyl dodecanol and octyldodecyl ester of L-pyrrolidone carboxylic acid, were selected based on their cosmetic functions for performing an ultrasound-assisted extraction. The efficiency of extraction was monitored by spectrophotometry and in vitro photoprotective activity measurements. 2-Octyl dodecanol and octyldodecyl ester of L-pyrrolidone carboxylic acid extracts showed maximum absorption wavelengths ranging from 280 to 340 nm and 270 to 350 nm, respectively. The anti UV-B capacity for protecting a synthetic chlorophyll solution was assessed by measuring its pseudo first-order degradation kinetics at room temperature. Under irradiation at 312 nm, chlorophyll introduced in the 2-octyl dodecanol S. chordalis extract showed the slowest degradation kinetics with a half-life t(1/2) of 121.0 min. Several compounds were detected in the seaweed

  • [hal-01925726] Recovery of aroma compounds from seafood cooking juices by membrane processes

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  • [hal-01346139] Extraction of molecules from brown macroalgae Sargassum muticum by enzymatic hydrolysis improved by the use of surfactants

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  • [hal-01614736] Seasonal Variation of Sargassum Muticum Biochemical Composition Determined by Fourier Transform Infra-Red Spectroscopy

    Proliferation of the introduced brown macro alga Sargassum muticum is known as a natural and hard to control phenomenon occurring along the Atlantic coasts. The phenomenon causes serious troubles for local ecosystems including the alteration of ecosystem structure, the reduction in indigenous biodiversity and economic losses (tourism, aquaculture). However, despite the serious troubles caused by S. muticum, this species contains highly remarkable bioactive metabolites. This macro alga is at present under-exploited and the valorization of its metabolites to give a positive value to this seaweed could be a solution of ecosystemic service. Biorefinery process could be one solution to valorize S. muticum. Comprehensive knowledge concerning the biochemical composition of S. muticum and the impact of environmental factors, particularly seasons, on its composition is a prerequisite before its valorization. In this study, the biochemical composition of S. muticum was evaluated by using classic colorimetric methods based on chemical analysis and Fourier Transform Infra-Red spectrometry (FTIR), and was used as a rapid and safe method that could bring advantages in screening studies and a more comprehensive management and use of seaweed products. Our results are globally in accordance, notably for phenolic compounds, showing the relevance of the use of infrared spectrometry. Moreover, based on the absorption bands of some specific and valuable compounds shown by FTIR, there was a seasonal variation in the polysaccharides, i.e., uronic acids and sulphated compounds, together with phenolic contents of S. muticum.

  • [hal-02469398] Performances of ultrafiltration membranes for fractionating a fish protein hydrolysate: Application to the refining of bioactive peptidic fractions

    Ultrafiltration membranes can be advantageously used to improve the bioactivity of a saithe protein hydrolysate containing peptides having a size lower than 7 kDa, by fractionating or concentrating some specific molecular weight peptide classes. The aim of this study is to evaluate the behaviour of a 4 kDa membrane in modified polyethersulfone in conditions close to industrial exploitation. This work consists in evaluating the effect of the initial peptide content (30, 90 and 150 mg/mL), the transmembrane pressure (10 and 30 bar), in total recycling modes and the volume reduction factor (until 5) on membrane performances, in terms of permeation flux and selectivity. The peptide content and mass repartition profiles are measured by size exclusion chromatography. It is observed that the pressure and the peptide content, which can act as complementary or antagonist factors, can be adjusted to modify the transmission of peptides and consequently the apparent molecular weight cut-off (MWCO) of the membrane. These results have been directly applied to study the refining of a peptidic fraction lower than 1 kDa having a potential bioactivity (i.e. antioxidant and hypotensive). The change in refining performances with the volume reduction factor (VRF) are discussed, including the recovery yield and the purity of the interesting fraction in permeate and the energy requirements.

  • [hal-02613238] Comparison of Different Membrane Filtration Systems for Recovering Active Phenolic Compounds from the European Spread Macroalga Sargassum muticum

    Sargassum muticum is an invasive macroalga that uncontrollable widely grows on the European Atlantic coasts. This macroalga is particularly rich in phenolics (phlorotan-nins) presenting biological activities such as antioxidant, radical-scavenging, antibacte-rial, photoprotective properties, etc. Among the diversity of metabolites produced by the species, phenolic compounds could constitute one of the potential ways of valorization of Sargassum muticum.For the needs of the study, algae were harvested along a latitudinal gradient in Norway, Ireland, France, Spain and Portugal.After extraction, the highest phenolic contents and bioactivities were measured for the samples coming from Norway and Portugal. Consequently, both these countries have been retained in the present work.The extracts are composed of a “pool” of phenolic compounds of molecular weight varying, according to the literature, from 126 Da (phloroglucinol) to 650 kDa. But the most common compounds are comprised between 10 and 100 kDa. With the aim of concentrating and eventually fractionating (i.e. isolating the most active fractions) the phenolic extracts of Sargassum muticum, a few membranes of Molecular Weight Cut-Off 10 kDa were chosen. These membranes were tested by using different technologies: ultrafiltration, centrifugal tube and dialysis.Results show that there is no significant activity in the permeates signifying that the retention rate is about 100 % for the active fractions. Concerning the retentates, results show clearly an increase of the total phenolic contents as well as antioxidant and radical scavenging activities. The best performances are obtained with the centrifugal tubes using 10 kDa membranes.

  • [hal-00841179] Green improved processes to extract bioactive phenolic compounds from brown macroalgae using Sargassum muticum as model.

    A comparative study between "alternative" extraction processes such as centrifugal partition extraction (CPE), supercritical fluid extraction (SFE) and pressurized liquid extraction (PLE) and classical solid/liquid used in the laboratory are currently focusing on the efficiency (selectivity and productivity) to obtain bioactive phenolic compounds from the phaeophyte Sargassum muticum model. The choice of the best process was based on several measurements: (i) the total phenolic content measured by the colorimetric Folin-Ciocalteu assay, (ii) radical scavenger and antioxidant activities assessed by the DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging assay, and the β-carotene bleaching method and finally (iii) the method productivity. Irrespective of the solvent used in the processes, alternative methods are always sharply more effective than classical ones. With the exception of SFE which does not allow extracting the totality of the active phenolic compounds, two of the other extraction methods were particularly promising. First, CPE afforded the most important yields in concentrated phenolic compounds (PC) (22.90±0.65% DW) also displaying the best activities (0.52±0.02 and 0.58±0.19 mg/mL for IC50 and AAC700, respectively). Secondly, PLE using an EtOH:water mixture 75:25 (v/v) allowed a good PC extraction (10.18±0.25% DW) with huge efficiency. Despite a lesser activity of the extracts (0.77±0.01 and 1.59±0.15 mg/mL for IC50 and AAC700, respectively) PLE is a green process and potentially complies European norms requirements for the prospective valorization of phenolic compounds from S. muticum in Brittany.

  • [hal-00943273] Assessment of the spatial variability of phenolic contents and associated bioactivities in the invasive alga Sargassum muticum sampled along its European range from Norway to Portugal

    Sargassum muticum, an invasive brown macroalga presently distributed along European Atlantic coasts from southern Portugal to the south coast of Norway, was studied on a large geographical scale for its production of phenolic compounds with potential industrial applications and their chemical and biological activities. S. muticum can produce high biomass in Europe, which could be exploited to supply such compounds. S. muticum was collected in Portugal, Spain, France, Ireland and Norway (three sites/country) to examine the effect of the latitudinal cline and related environmental factors. Assays focused particularly on polyphenols and their activities. Crude acetone-water extracts were purified using solid phase extraction (SPE) and antioxidant and antimicrobial activities of crude extracts and semi-purified fractions measured. Total phenolic content was assessed by colorimetric Folin-Ciocalteu assay and reactive oxygen species activities by 2,2-diphenyl-1-picrylhydrazyl, reducing power, β-carotene bleaching method and xanthine oxidase assay. Antibacterial activities were tested on terrestrial and marine strains to evaluate potential use in biomedical and aquaculture fields. Purified active phlorotannins, isolated by SPE, were identified using NMR. Phenolic contents differ clearly among countries and among sites within countries. Quality did not change between countries, however, although there were some slight differences in phlorethol type. Additionally, some fractions, especially from the extreme north and south, were very active. We discuss this in relation to environmental conditions and the interest of these compounds. S. muticum represents a potential natural source of bioactive compounds and its collection could offer an interesting opportunity for the future management of this species in Europe.

  • [hal-02469476] Fractionation of fish protein hydrolysates by ultrafiltration and nanofiltration: impact on peptidic populations

    The production by enzymatic treatment of fish protein hydrolysates (FPH) is a promising route to add value to fisheries proteinic co-products (fish frames, heads etc.). Indeed, FPH possess good nutritional properties and biological activities for food and feed uses. Pressure-driven membrane separations such as ultrafiltration (UF) and nanofiltration (NF) can be used after the hydrolysis to increase the specific activities of the FPH. This paper discusses the impact of a two-step UF/NF process producing four different fractions on two industrial FPH with different hydrolysis degrees. Fractionation is carried out in “realistic” conditions for an industrial process, on highly concentrated FPH solutions (about 100 g of dry matter/L) at a high volume reduction factor. For each step, UF or NF, the variation of the permeation flux in the course of the fractionation is discussed according to the FPH hydrolysis degree and the membranes cut-offs. The values of performance indicators defined in terms of nitrogen content are also examined, including the concentration factor (CF), the relative recovery in the retentate (ηR) and the mean and final retention factors (RFm and RFf). Computed values of these indicators are validated through the setting of volume and mass balances around each step. The impact of fractionation on the FPH peptidic population is shown. Peptidic populations are described in terms of chromatographic profiles (SEC–FPLC). The UF fractionation produces a permeate enriched with respect to the FPH smaller than a molecular weight of about 600–750 Dalton, and a retentate enriched in large peptides (above the same MW). A similar behaviour is found for the NF fractionation. Comparing the impact of the UF fractionation on the two hydrolysates allows to conclude that the membrane cut-off is well-suited when comprised between the MWs of the biggest and the most abundant peptides in the FPH.

  • [hal-00669664] Fractionation by ultrafiltration of a saithe protein hydrolysate (Pollachius virens): Effect of material and molecular weight cut-off on the membrane performances

    Five organic tubular nanofiltration membranes of various material and molecular weight cut-off (MWCO) were tested for the enrichment of a fish (saithe, Pollachius virens) hydrolysate in low molecular weight antioxidant peptides (< 2 kDa). The effect of membrane material and MWCO on permeation flux, hydrolysate adsorption extent, membrane cleaning and peptides retention was investigated in low fouling conditions in order to limit concentration polarization effects. Water permeation fluxes appeared sensitive both to the MWCO and the membrane material. Membranes in polyethersulfone (PES), a highly hydrophobic material, exhibited lower fluxes than modified polyethersulfone (m-PES) and polysulfone (PS) membranes. The 4 kDa m-PES membrane was found to be the most adapted to the objective in terms of flux and retention factor. The 4 kDa m-PES and 8 kDa PS membranes could also be used in series to recover medium-size peptides. (c) 2008 Elsevier Ltd. All rights reserved.

  • [hal-02469764] Mild processing techniques and development of functional marine protein and peptide ingredients

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  • [hal-02336264] Determination of the biochemical composition of proliferative macroalgae by IR spectrometry.

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  • [hal-01089290] Rapid geographical differentiation of the European spread brown macroalga Sargassum muticum using HRMAS NMR and Fourier-Transform Infrared spectroscopy

    Two recent techniques based on chemical footprinting analysis, HRMAS NMR and FTIR spectroscopy, were tested on a brown macroalgal model. These powerful and easily-to-use techniques allowed us to discriminate Sargassum muticum specimens collected in five different countries along Atlantic coasts, from Portugal to Norway. HRMAS NMR and FTIR permitted the obtaining of an overview of metabolites produced by the alga. Based on spectra analysis, results allowed us to successfully group the samples according to their geographical origin. HRMAS NMR and FTIR spectroscopy respectively point out the relation between the geographical localization and the chemical composition and demonstrated macromolecules variations regarding to environmental stress. Then, our results are discussed in regard of the powerful of these techniques together with the variability of the main molecules produced by Sargassum muticum along the Atlantic coasts.

  • [hal-00668508] Impact of ultrafiltration and nanofiltration of an industrial fish protein hydrolysate on its bioactive properties

    BACKGROUND: Numerous studies have demonstrated that in vitro controlled enzymatic hydrolysis of fish and shellfish proteins leads to bioactive peptides. Ultrafiltration (UF) and/or nanofiltration (NF) can be used to refine hydrolysates and also to fractionate them in order to obtain a peptide population enriched in selected sizes. This study was designed to highlight the impact of controlled UF and NF on the stability of biological activities of an industrial fish protein hydrolysate (FPH) and to understand whether fractionation could improve its content in bioactive peptides. RESULTS: The starting fish protein hydrolysate exhibited a balanced amino acid composition, a reproducible molecular weight (MW) profile, and a low sodium chloride content, allowing the study of its biological activity. Successive fractionation on UF and NF membranes allowed concentration of peptides of selected sizes, without, however, carrying out sharp separations, some MW classes being found in several fractions. Peptides containing Pro, Hyp, Asp and Glu were concentrated in the UF and NF retentates compared to the unfractionated hydrolysate and UF permeate, respectively. Gastrin/cholecystokinin-like peptides were present in the starting FPH, UF and NF fractions, but fractionation did not increase their concentration. In contrast, quantification of calcitonin gene-related peptide (CGRP)-like peptides demonstrated an increase in CGRP-like activities in the UF permeate, relative to the starting FPH. The starting hydrolysate also showed a potent antioxidant and radical scavenging activity, and a moderate angiotensin-converting enzyme (ACE)-1 inhibitory activity, which were not increased by UF and NF fractionation. CONCLUSION: Fractionation of an FPH using membrane separation, with a molecular weight cut-off adapted to the peptide composition, may provide an effective means to concentrate CGRP-like peptides and peptides enriched in selected amino acids. The peptide size distribution observed after UF and NF fractionation demonstrates that it is misleading to characterize the fractions obtained by membrane filtration according to the MW cut-off of the membrane only, as is currently done in the literature. Copyright © 2010 Society of Chemical Industry

  • [hal-01308894] Physical parameter identification of a one-degree-of-freedom electromechanical system operating in closed loop

    This paper deals with the identification of physical parameters of a one-degree-of-freedom electromechanical system that operates in closed loop. Two models are considered: the inverse dynamic model which is linear in relation to the physical parameters to be identified and the direct dynamic model which is linear in relation to a nonlinear combination of the physical parameters. Three methods are considered and compared: the traditional method which makes use of the inverse dynamic model, tailormade data prefiltering and the least-squares method, an instrumental variable approach which makes use of the direct and inverse dynamic models and another instrumental variable approach which makes use of the direct dynamic model only. The experimental results show that the instrumental variable method based on the use of the inverse and direct dynamic models seems to be more appropriate than the two others because it is robust against noise and the physical parameters are directly identified.

  • [hal-00782079] Utilisation de polynômes de Tchebychev pour l'identification de modèles à temps continu de robots

    Dans cet article, une présentation des propriétés des polynômes de Tchebychev et une formulation dérivée utilisant ces polynômes sont effectuées. La méthode d'identification présentée consiste à appliquer une transformation linéaire sur le système d'équations qui régit le processus. Pour cela, l'opérateur mathématique utilisé s'appuie sur une décomposition du signal dans une base formée de polynômes orthogonaux. Nous montrons que cette projection se comporte comme un filtre passe-bande, de telle sorte qu'une seule opération est nécessaire pour le pré-traitement des données avant le processus d'identification, à savoir choisir la dimension de la base des polynômes Tchebychev. Une identification expérimentale en boucle fermée d'un robot à 2 axes avec cette méthode est effectuée dans une dernière partie. Les résultats obtenus sont comparés et analysés avec d'autres techniques utilisées en robotique.

  • [hal-00972556] Joint Stiffness Identification from only Motor Force/Torque Data

    This paper deals with joint stiffness identification with only actual motor force/torque data instead of motor andload positions. The parameters are estimated by using the DIDIM method which needs only input data. This method was previously validated on a 6 DOF rigid robot and is now extended to flexible systems. The criterion to be minimized is the quadratic error between the measured actual motor force/torque and the simulated one. The optimal parameters are calculated with the Nelder Mead simplex algorithm. An experimental setup exhibits the experimental identification results and shows the effectiveness of our approach.

  • [hal-00973430] Experimental Joint Stiffness Identification Depending on Measurements Availability

    This paper addresses the important topic of joint flexibility identification. Three dynamic models depending on measurements availability are compared. The parameters are estimated by using the ordinary least squares of an over linear system obtained from the sampling of the dynamic model along a closed loop tracking trajectory. An experimental setup exhibits the experimental identification results.

  • [hal-01061188] Méthode à erreur de sortie pour l'identification en boucle fermée des paramètres dynamiques d'un robot à flexibilité localisée, sans mesure de flexibilité

    Ce papier présente une nouvelle méthode à erreur de sortie en deux étapes pour l'identification en boucle fermée des paramètres inertiels, de frottements et de raideur d'un axe de robot avec flexibilité articulaire localisée. Cette méthode utilise uniquement l'effort et la position du moteur, sans aucune mesure de flexibilité. La première étape identifie la fréquence du mode rigide asservi et la fréquence du mode flexible à entrée bloquée, en utilisant un modèle haute fréquence double intégrateur du robot. L'identification utilise une méthode à erreur de sortie sur la position du moteur. Ces deux paramètres de fréquence optimaux sont ensuite utilisés dans la deuxième étape pour l'identification des paramètres dynamiques du robot par une méthode à erreur de sortie sur l'effort moteur. Cette méthode récente (DIDIM) qui utilise les modèles d'identification directe et inverse du robot permet d'obtenir une convergence des paramètres très rapide et insensible aux conditions initiales. Une validation expérimentale sur un robot un axe montre l'efficacité de la nouvelle méthode comparée à deux méthodes à erreur de sortie classiques.

  • [hal-02987426] Overview of strategies for reducing co2 emissions during the use phase of passenger cars

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  • [hal-01467446] A revised Durbin-Wu-Hausman test for industrial robot identification

    This paper addresses the topic of robot identification. The usual identification method makes use of the inverse dynamic model (IDM) and the least squares (LS) technique while robot is tracking exciting tra- jectories. Assuming an appropriate bandpass filtering, good results can be obtained. However, the users are in doubt whether the columns of the observation matrix (the regressors) are uncorrelated (exo- genous) or correlated (endogenous) with the error terms. The exogeneity condition is rarely verified in a formal way whereas it is a fundamental condition to obtain unbiased LS estimates. In Econometrics, the Durbin-Wu-Hausman test (DWH-test) is a formal statistic for investigating whether the regressors are exogenous or endogenous. However, the DWH-test cannot be straightforwardly used for robot identifi- cation because it is assumed that the set of instruments is valid. In this paper, a Revised DWH-test suitable for robot identification is proposed. The revised DWH-test validates/invalidates the instruments chosen by the user and validates the exogeneity assumption through the calculation of the QR factor- ization of the augmented observation matrix combined with a F-test if required. The experimental results obtained with a 6 degrees-of-freedom (DOF) industrial robot validate the proposed statistic.

  • [hal-01741653] Model of high-Speed Train Energy Consumption

    The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). In this context, rail has several advantages: lower consumption and emissions than road and air modes, larger passenger flow, etc. That is why, many rail infrastructures are planned in the world. Today, the impact of energy is not taken into account during the project design. At the project phase of new rail infrastructures, it is nowadays important to characterize accurately the energy that will be induced by its operation phase, in addition to other more classical criteria as construction costs and travel time. Current literature consumption models used to estimate railways operation phase are obsolete or not enough accurate for taking into account the newest train or railways technologies. In this paper, an updated model of consumption for high-speed is proposed, based on experimental data obtained from full-scale tests performed on a new high-speed line. The assessment of the model is achieved by identifying train parameters and measured power consumptions for more than one hundred train routes. Perspectives are then discussed to use this updated model for accurately assess the energy impact of future railway infrastructures.

  • [hal-00850643] A New Closed-Loop Output Error Method for Parameter Identification of Robot Dynamics

    Offline robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. The efficiency of this method has been proved through the experimental identification of many prototypes and industrial robots. However, this method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. The proposed new method called DIDIM requires only the joint force/torque measurement, which avoids the calculation of the velocity and acceleration by bandpass filtering of the measured position. It is a closed-loop output error method where the usual joint position output is replaced by the joint force/torque. It is based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. This is a nonlinear least-squares problem which is dramatically simplified using the inverse dynamic model to obtain an analytical expression of the simulated force/torque, linear in the parameters. A validation experiment on a two degree-of-freedom direct drive rigid robot shows that the new method is efficient.

  • [hal-00402609] Using Robust Regressions and Residual Analysis to Verify the Reliability of LS Estimation : Application in Robotics

    Usually, the identification of the dynamic parameters of robot makes use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories. This allows using linear least squares (LS) techniques to estimate the parameters. The efficiency of this method has been proved through experimental identifications of a lot of prototypes and industrial robots. However, it is known that LS estimators are sensitive to outliers and leverage points. Thus, it may be helpful to verify their reliability. This is possible by using robust regressions and residual analysis. Then, we compare the results with those obtained with classical LS regression. This paper deals with this issue and introduces the experimental identification and residual analysis of an one degree of freedom (DOF) haptic interface using the Huber's estimator. To verify the pertinence of our analyses, this comparison is also performed on a medical interface consisting of a complex mechanical structure.

  • [hal-00402729] Identification of Robots using the Instrumental Variable Method

    The identification of the dynamic parameters of robot is based on the use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories, in order to get an over determined linear system. The linear least squares solution of this system calculates the estimated parameters. The efficiency of this method has been proved through the experimental identification of a lot of prototypes and industrial robots. However, this method needs joint torque and position measurements and the estimation of the joint velocities and accelerations through the pass band filtering of the joint position at high sample rate. So, the observation matrix is noisy. Moreover identification process takes place when the robot is controlled by feedback. These violations of assumption imply that the LS solution is biased. The Refined Instrumental Variable (SRIV) approach deals with this problem of noisy observation matrix and can be statistically optimal. This paper focuses on this technique which will be applied to a 2 degrees of freedom (DOF) prototype developed by the IRCCyN Robotic team.

  • [hal-02012129] Model of High-Speed train energy consumption

    The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). In this context, rail has several advantages: lower consumption and emissions than road and air modes, larger passenger flow, etc. That is why, many rail infrastructures are planned in the world. Today, the impact of energy is not taken into account during the project design. At the project phase of new rail infrastructures, it is nowadays important to characterize accurately the energy that will be induced by its operation phase, in addition to other more classical criteria as construction costs and travel time. Current literature consumption models used to estimate railways operation phase are obsolete or not enough accurate for taking into account the newest train or railways technologies. In this paper, an updated model of consumption for high-speed is proposed, based on experimental data obtained from full-scale tests performed on a new high-speed line. The assessment of the model is achieved by identifying train parameters and measured power consumptions for more than one hundred train routes. Perspectives are then discussed to use this updated model for accurately assess the energy impact of future railway infrastructures.

  • [hal-01061255] Comparison between the CLOE Method and the DIDIM Method for Robots Identification

    This brief deals with the identification of industrial robots. The usual identification method is based on the use of the inverse dynamic identification model and the least-squares technique. Another approach is the direct and inverse dynamic identification models (DIDIM) method, which is a closed-loop output error (CLOE) method minimizing the quadratic error between the actual and simulated joint torques. In this brief, the DIDIM method is compared with the usual CLOE method, which minimizes the quadratic error between the actual and simulated joint positions. The comparison is carried out on six degrees of freedom industrial robot. The experimental results show that the DIDIM method needs three iterations to identify 60 parameters while the usual CLOE method needs 20 iterations.

  • [hal-00941612] Generic instrumental variable approach for industrial robot identification

    This paper deals with the important topic of industrial robot identification. The usual identification method is based on the inverse dynamic identification model and the least squares technique. This method has been successfully applied on several industrial robots. Good results can be obtained, provided a well tuned derivative band-pass filtering of joint positions is used to calculate the joint velocities and accelerations. However, one cannot be sure whether or not the band-pass filtering is well tuned. An alternative is the instrumental variable (IV) method, which is robust to data filtering and is statistically optimal. In this paper, a generic IV approach suitable for robot identification is proposed. The instrument set is the inverse dynamic model built from simulated data calculated from simulation of the direct dynamic model. The simulation is based on previous estimates and assumes the same reference trajectories and the same control structure for both actual and simulated robots. Finally, gains of the simulated controller are updated according to IV estimates to obtain a valid instrument set at each step of the algorithm. The proposed approach validates the inverse and direct dynamic models simultaneously, is not sensitive to initial conditions, and converges rapidly. Experimental results obtained on a six-degrees-of-freedom industrial robot show the effectiveness of this approach: 60 dynamic parameters are identified in three itérations.

  • [hal-00954732] An instrumental variable approach for rigid industrial robots identification

    This paper deals with the important topic of rigid industrial robots identification. The usual identification method is based on the use of the inverse dynamic model and the least-squares technique. In order to obtain good results, a well-tuned derivative bandpass filtering of joint positions is needed to calculate the joint velocities and accelerations. However, we can doubt whether the bandpass filter is well-tuned or not. Another approach is the instrumental variable (IV) method which is robust to data filtering and which is statistically optimal. In this paper, an IV approach relevant for identification of rigid industrial robots is introduced. The set of instruments is the inverse dynamic model built from simulated data which are calculated from the simulation of the direct dynamic model. The simulation assumes the same reference trajectories and the same control structure for both the actual and the simulated robot and is based on the previous IV estimates. Furthermore, to obtain a rapid convergence, the gains of the simulated controller are updated according to IV estimates. Thus, the proposed approach validates the inverse and direct dynamic models simultaneously and is not sensitive to initial conditions. The experimental results obtained with a 2 degrees of freedom (DOF) planar prototype and with a 6 DOF industrial robot show the effectiveness of our approach: it is possible to identify 60 parameters in 3 iterations and in 11 s.

  • [hal-00851519] A Durbin-Wu-Hausman Test for Industrial Robots Identification

    This paper deals with the topic of industrial robots identification. The usual identification method is based on the use of the inverse dynamic model (IDM) and least squares (LS) technique. Good results can be obtained provided that a well-tuned bandpass filtering is used. However, we are always in doubt if regressors are exogenous i.e. statistically uncorrelated with error terms. Surprisingly, in papers dealing with identification of real-world systems, exogeneity assumption is never verified whereas it is a fundamental condition to obtain unbiased estimates. In Econometrics, the Durbin-Wu-Hausman test (DWH-test) is a theoretical method for investigating whether regressors are exogenous or not. The DWH-test makes of the Two Stage Lesat Squares estimator (2SLS) and an augmented LS regression. However, this test cannot be used as is for robots identification: instruments set is supposed to be valid and restrictive statistical assumptions are made while they are quite implausible in practice. In this paper, we aim at bridging the gap between Econometrics and Control engineering practices by introducing a revisited version relevant for robots identification. An experimental validation performed on a 2 degrees of freedom (DOF) robot shows the effectiveness and the usefulness of this revisited DWH-test.

  • [hal-00851515] Identification of 6 DOF Rigid Industrial Robots with the Instrumental Variable Method

    This paper deals with the topic of robots dynamics identification. In this paper, we focus on the instrumental variable (IV) technique. For robots, the set of instruments is the inverse dynamic model built from simulated data which are calculated from the integration of the direct dynamic model, assuming the same reference trajectories and the same control law structure for both actual and simulated robots. The integration of the direct dynamic model is based on previous IV estimates. This defines an iterative algorithm. Furthermore, gains of the simulated controller are updated to get a fast convergence. Experimental results obtained on a six degrees of freedom robot manufactured by Stäubli show the effectiveness of our approach: 60 dynamic parameters are estimated in only two iterations.

  • [hal-00851507] Identification of Physical Parameters and Instrumental Variables Validation With Two-Stage Least Squares Estimator

    This paper addresses physical parameters identification of mathematical models that are linear in relation to these physical parameters. We can obtain good results with the least squares technique, provided that a well-tuned data filtering is used, and by using instrumental variable (IV) methods, which deal with the problem of noisy observation matrix. However, IV theory is based on instruments validity. In econometrics, statistical tests evaluating instruments quality have been developed. They make use of the two-stage least squares estimator and the concentration parameter introduced by Basmann. In this paper we show how to extend econometric theory to control engineering. An algorithm evaluating instruments quality is presented and experimentally validated on a two-degrees-of-freedom SCARA robot.


Pierrebis

HAL : Dernières publications

  • [hal-04030611] Enhancement of Vehicle Eco-Driving Applicability through Road Infrastructure Design and Exploitation

    Energy moderation of the road transportation sector is required to limit climate change and to preserve resources. This work is focused on the moderation of vehicle consumption by optimizing the speed policy along an itinerary while taking into account vehicle dynamics, driver visibility and the road's longitudinal profile. First, a criterion is proposed in order to detect speed policies that are impeding drivers' eco-driving ability. Then, an energy evaluation is carried out and an optimization is proposed. A numerical application is performed on a speed limiting point with 20 usage cases and 5 longitudinal slope values. In the hypothesis of a longitudinal slope of zero, energy savings of 27.7 liter per day could be realized by a speed sign displacement of only 153.6 m. Potential energy savings can increase to up to 308.4 L per day for a −4% slope case, or up to 70.5 L per day for an ordinary −2% slope, with a sign displacement of only 391.5 m. This results in a total of 771,975 L of fuel savings over a 30 year infrastructure life cycle period. Therefore a methodology has been developed to help road managers optimize their speed policies with the aim of moderating vehicle consumption.

  • [hal-01308894] Physical parameter identification of a one-degree-of-freedom electromechanical system operating in closed loop

    This paper deals with the identification of physical parameters of a one-degree-of-freedom electromechanical system that operates in closed loop. Two models are considered: the inverse dynamic model which is linear in relation to the physical parameters to be identified and the direct dynamic model which is linear in relation to a nonlinear combination of the physical parameters. Three methods are considered and compared: the traditional method which makes use of the inverse dynamic model, tailormade data prefiltering and the least-squares method, an instrumental variable approach which makes use of the direct and inverse dynamic models and another instrumental variable approach which makes use of the direct dynamic model only. The experimental results show that the instrumental variable method based on the use of the inverse and direct dynamic models seems to be more appropriate than the two others because it is robust against noise and the physical parameters are directly identified.

  • [hal-00782079] Utilisation de polynômes de Tchebychev pour l'identification de modèles à temps continu de robots

    Dans cet article, une présentation des propriétés des polynômes de Tchebychev et une formulation dérivée utilisant ces polynômes sont effectuées. La méthode d'identification présentée consiste à appliquer une transformation linéaire sur le système d'équations qui régit le processus. Pour cela, l'opérateur mathématique utilisé s'appuie sur une décomposition du signal dans une base formée de polynômes orthogonaux. Nous montrons que cette projection se comporte comme un filtre passe-bande, de telle sorte qu'une seule opération est nécessaire pour le pré-traitement des données avant le processus d'identification, à savoir choisir la dimension de la base des polynômes Tchebychev. Une identification expérimentale en boucle fermée d'un robot à 2 axes avec cette méthode est effectuée dans une dernière partie. Les résultats obtenus sont comparés et analysés avec d'autres techniques utilisées en robotique.

  • [hal-00972556] Joint Stiffness Identification from only Motor Force/Torque Data

    This paper deals with joint stiffness identification with only actual motor force/torque data instead of motor andload positions. The parameters are estimated by using the DIDIM method which needs only input data. This method was previously validated on a 6 DOF rigid robot and is now extended to flexible systems. The criterion to be minimized is the quadratic error between the measured actual motor force/torque and the simulated one. The optimal parameters are calculated with the Nelder Mead simplex algorithm. An experimental setup exhibits the experimental identification results and shows the effectiveness of our approach.

  • [hal-00973430] Experimental Joint Stiffness Identification Depending on Measurements Availability

    This paper addresses the important topic of joint flexibility identification. Three dynamic models depending on measurements availability are compared. The parameters are estimated by using the ordinary least squares of an over linear system obtained from the sampling of the dynamic model along a closed loop tracking trajectory. An experimental setup exhibits the experimental identification results.

  • [hal-01061188] Méthode à erreur de sortie pour l'identification en boucle fermée des paramètres dynamiques d'un robot à flexibilité localisée, sans mesure de flexibilité

    Ce papier présente une nouvelle méthode à erreur de sortie en deux étapes pour l'identification en boucle fermée des paramètres inertiels, de frottements et de raideur d'un axe de robot avec flexibilité articulaire localisée. Cette méthode utilise uniquement l'effort et la position du moteur, sans aucune mesure de flexibilité. La première étape identifie la fréquence du mode rigide asservi et la fréquence du mode flexible à entrée bloquée, en utilisant un modèle haute fréquence double intégrateur du robot. L'identification utilise une méthode à erreur de sortie sur la position du moteur. Ces deux paramètres de fréquence optimaux sont ensuite utilisés dans la deuxième étape pour l'identification des paramètres dynamiques du robot par une méthode à erreur de sortie sur l'effort moteur. Cette méthode récente (DIDIM) qui utilise les modèles d'identification directe et inverse du robot permet d'obtenir une convergence des paramètres très rapide et insensible aux conditions initiales. Une validation expérimentale sur un robot un axe montre l'efficacité de la nouvelle méthode comparée à deux méthodes à erreur de sortie classiques.

  • [hal-02987426] Overview of strategies for reducing co2 emissions during the use phase of passenger cars

    [...]

  • [hal-01467446] A revised Durbin-Wu-Hausman test for industrial robot identification

    This paper addresses the topic of robot identification. The usual identification method makes use of the inverse dynamic model (IDM) and the least squares (LS) technique while robot is tracking exciting tra- jectories. Assuming an appropriate bandpass filtering, good results can be obtained. However, the users are in doubt whether the columns of the observation matrix (the regressors) are uncorrelated (exo- genous) or correlated (endogenous) with the error terms. The exogeneity condition is rarely verified in a formal way whereas it is a fundamental condition to obtain unbiased LS estimates. In Econometrics, the Durbin-Wu-Hausman test (DWH-test) is a formal statistic for investigating whether the regressors are exogenous or endogenous. However, the DWH-test cannot be straightforwardly used for robot identifi- cation because it is assumed that the set of instruments is valid. In this paper, a Revised DWH-test suitable for robot identification is proposed. The revised DWH-test validates/invalidates the instruments chosen by the user and validates the exogeneity assumption through the calculation of the QR factor- ization of the augmented observation matrix combined with a F-test if required. The experimental results obtained with a 6 degrees-of-freedom (DOF) industrial robot validate the proposed statistic.

  • [hal-01741653] Model of high-Speed Train Energy Consumption

    The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). In this context, rail has several advantages: lower consumption and emissions than road and air modes, larger passenger flow, etc. That is why, many rail infrastructures are planned in the world. Today, the impact of energy is not taken into account during the project design. At the project phase of new rail infrastructures, it is nowadays important to characterize accurately the energy that will be induced by its operation phase, in addition to other more classical criteria as construction costs and travel time. Current literature consumption models used to estimate railways operation phase are obsolete or not enough accurate for taking into account the newest train or railways technologies. In this paper, an updated model of consumption for high-speed is proposed, based on experimental data obtained from full-scale tests performed on a new high-speed line. The assessment of the model is achieved by identifying train parameters and measured power consumptions for more than one hundred train routes. Perspectives are then discussed to use this updated model for accurately assess the energy impact of future railway infrastructures.

  • [hal-00850643] A New Closed-Loop Output Error Method for Parameter Identification of Robot Dynamics

    Offline robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. The efficiency of this method has been proved through the experimental identification of many prototypes and industrial robots. However, this method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. The proposed new method called DIDIM requires only the joint force/torque measurement, which avoids the calculation of the velocity and acceleration by bandpass filtering of the measured position. It is a closed-loop output error method where the usual joint position output is replaced by the joint force/torque. It is based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. This is a nonlinear least-squares problem which is dramatically simplified using the inverse dynamic model to obtain an analytical expression of the simulated force/torque, linear in the parameters. A validation experiment on a two degree-of-freedom direct drive rigid robot shows that the new method is efficient.

  • [hal-00402609] Using Robust Regressions and Residual Analysis to Verify the Reliability of LS Estimation : Application in Robotics

    Usually, the identification of the dynamic parameters of robot makes use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories. This allows using linear least squares (LS) techniques to estimate the parameters. The efficiency of this method has been proved through experimental identifications of a lot of prototypes and industrial robots. However, it is known that LS estimators are sensitive to outliers and leverage points. Thus, it may be helpful to verify their reliability. This is possible by using robust regressions and residual analysis. Then, we compare the results with those obtained with classical LS regression. This paper deals with this issue and introduces the experimental identification and residual analysis of an one degree of freedom (DOF) haptic interface using the Huber's estimator. To verify the pertinence of our analyses, this comparison is also performed on a medical interface consisting of a complex mechanical structure.

  • [hal-00402729] Identification of Robots using the Instrumental Variable Method

    The identification of the dynamic parameters of robot is based on the use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories, in order to get an over determined linear system. The linear least squares solution of this system calculates the estimated parameters. The efficiency of this method has been proved through the experimental identification of a lot of prototypes and industrial robots. However, this method needs joint torque and position measurements and the estimation of the joint velocities and accelerations through the pass band filtering of the joint position at high sample rate. So, the observation matrix is noisy. Moreover identification process takes place when the robot is controlled by feedback. These violations of assumption imply that the LS solution is biased. The Refined Instrumental Variable (SRIV) approach deals with this problem of noisy observation matrix and can be statistically optimal. This paper focuses on this technique which will be applied to a 2 degrees of freedom (DOF) prototype developed by the IRCCyN Robotic team.

  • [hal-02012129] Model of High-Speed train energy consumption

    The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). In this context, rail has several advantages: lower consumption and emissions than road and air modes, larger passenger flow, etc. That is why, many rail infrastructures are planned in the world. Today, the impact of energy is not taken into account during the project design. At the project phase of new rail infrastructures, it is nowadays important to characterize accurately the energy that will be induced by its operation phase, in addition to other more classical criteria as construction costs and travel time. Current literature consumption models used to estimate railways operation phase are obsolete or not enough accurate for taking into account the newest train or railways technologies. In this paper, an updated model of consumption for high-speed is proposed, based on experimental data obtained from full-scale tests performed on a new high-speed line. The assessment of the model is achieved by identifying train parameters and measured power consumptions for more than one hundred train routes. Perspectives are then discussed to use this updated model for accurately assess the energy impact of future railway infrastructures.

  • [hal-01061255] Comparison between the CLOE Method and the DIDIM Method for Robots Identification

    This brief deals with the identification of industrial robots. The usual identification method is based on the use of the inverse dynamic identification model and the least-squares technique. Another approach is the direct and inverse dynamic identification models (DIDIM) method, which is a closed-loop output error (CLOE) method minimizing the quadratic error between the actual and simulated joint torques. In this brief, the DIDIM method is compared with the usual CLOE method, which minimizes the quadratic error between the actual and simulated joint positions. The comparison is carried out on six degrees of freedom industrial robot. The experimental results show that the DIDIM method needs three iterations to identify 60 parameters while the usual CLOE method needs 20 iterations.

  • [hal-00941612] Generic instrumental variable approach for industrial robot identification

    This paper deals with the important topic of industrial robot identification. The usual identification method is based on the inverse dynamic identification model and the least squares technique. This method has been successfully applied on several industrial robots. Good results can be obtained, provided a well tuned derivative band-pass filtering of joint positions is used to calculate the joint velocities and accelerations. However, one cannot be sure whether or not the band-pass filtering is well tuned. An alternative is the instrumental variable (IV) method, which is robust to data filtering and is statistically optimal. In this paper, a generic IV approach suitable for robot identification is proposed. The instrument set is the inverse dynamic model built from simulated data calculated from simulation of the direct dynamic model. The simulation is based on previous estimates and assumes the same reference trajectories and the same control structure for both actual and simulated robots. Finally, gains of the simulated controller are updated according to IV estimates to obtain a valid instrument set at each step of the algorithm. The proposed approach validates the inverse and direct dynamic models simultaneously, is not sensitive to initial conditions, and converges rapidly. Experimental results obtained on a six-degrees-of-freedom industrial robot show the effectiveness of this approach: 60 dynamic parameters are identified in three itérations.

  • [hal-00954732] An instrumental variable approach for rigid industrial robots identification

    This paper deals with the important topic of rigid industrial robots identification. The usual identification method is based on the use of the inverse dynamic model and the least-squares technique. In order to obtain good results, a well-tuned derivative bandpass filtering of joint positions is needed to calculate the joint velocities and accelerations. However, we can doubt whether the bandpass filter is well-tuned or not. Another approach is the instrumental variable (IV) method which is robust to data filtering and which is statistically optimal. In this paper, an IV approach relevant for identification of rigid industrial robots is introduced. The set of instruments is the inverse dynamic model built from simulated data which are calculated from the simulation of the direct dynamic model. The simulation assumes the same reference trajectories and the same control structure for both the actual and the simulated robot and is based on the previous IV estimates. Furthermore, to obtain a rapid convergence, the gains of the simulated controller are updated according to IV estimates. Thus, the proposed approach validates the inverse and direct dynamic models simultaneously and is not sensitive to initial conditions. The experimental results obtained with a 2 degrees of freedom (DOF) planar prototype and with a 6 DOF industrial robot show the effectiveness of our approach: it is possible to identify 60 parameters in 3 iterations and in 11 s.

  • [hal-00851515] Identification of 6 DOF Rigid Industrial Robots with the Instrumental Variable Method

    This paper deals with the topic of robots dynamics identification. In this paper, we focus on the instrumental variable (IV) technique. For robots, the set of instruments is the inverse dynamic model built from simulated data which are calculated from the integration of the direct dynamic model, assuming the same reference trajectories and the same control law structure for both actual and simulated robots. The integration of the direct dynamic model is based on previous IV estimates. This defines an iterative algorithm. Furthermore, gains of the simulated controller are updated to get a fast convergence. Experimental results obtained on a six degrees of freedom robot manufactured by Stäubli show the effectiveness of our approach: 60 dynamic parameters are estimated in only two iterations.

  • [hal-00851519] A Durbin-Wu-Hausman Test for Industrial Robots Identification

    This paper deals with the topic of industrial robots identification. The usual identification method is based on the use of the inverse dynamic model (IDM) and least squares (LS) technique. Good results can be obtained provided that a well-tuned bandpass filtering is used. However, we are always in doubt if regressors are exogenous i.e. statistically uncorrelated with error terms. Surprisingly, in papers dealing with identification of real-world systems, exogeneity assumption is never verified whereas it is a fundamental condition to obtain unbiased estimates. In Econometrics, the Durbin-Wu-Hausman test (DWH-test) is a theoretical method for investigating whether regressors are exogenous or not. The DWH-test makes of the Two Stage Lesat Squares estimator (2SLS) and an augmented LS regression. However, this test cannot be used as is for robots identification: instruments set is supposed to be valid and restrictive statistical assumptions are made while they are quite implausible in practice. In this paper, we aim at bridging the gap between Econometrics and Control engineering practices by introducing a revisited version relevant for robots identification. An experimental validation performed on a 2 degrees of freedom (DOF) robot shows the effectiveness and the usefulness of this revisited DWH-test.

  • [hal-00851507] Identification of Physical Parameters and Instrumental Variables Validation With Two-Stage Least Squares Estimator

    This paper addresses physical parameters identification of mathematical models that are linear in relation to these physical parameters. We can obtain good results with the least squares technique, provided that a well-tuned data filtering is used, and by using instrumental variable (IV) methods, which deal with the problem of noisy observation matrix. However, IV theory is based on instruments validity. In econometrics, statistical tests evaluating instruments quality have been developed. They make use of the two-stage least squares estimator and the concentration parameter introduced by Basmann. In this paper we show how to extend econometric theory to control engineering. An algorithm evaluating instruments quality is presented and experimentally validated on a two-degrees-of-freedom SCARA robot.

  • [hal-00751406] Méthode à erreur de sortie pour l'identification en boucle fermée des paramètres dynamiques d'un robot à flexibilité localisée, sans mesure de flexibilité

    Ce papier présente une nouvelle méthode à erreur de sortie en deux étapes pour l'identification en boucle fermée des paramètres inertiels, de frottements et de raideur d'un axe de robot avec flexibilité articulaire localisée. Cette méthode utilise uniquement l'effort et la position du moteur, sans aucune mesure de flexibilité. La première étape identifie la fréquence du mode rigide asservi et la fréquence du mode flexible à entrée bloquée, en utilisant un modèle haute fréquence double intégrateur du robot. L'identification utilise une méthode à erreur de sortie sur la position du moteur. Ces deux paramètres de fréquence optimaux sont ensuite utilisés dans la deuxième étape pour l'identification des paramètres dynamiques du robot par une méthode à erreur de sortie sur l'effort moteur. Cette méthode récente (DIDIM) qui utilise les modèles d'identification directe et inverse du robot permet d'obtenir une convergence des paramètres très rapide et insensible aux conditions initiales. Une validation expérimentale sur un robot un axe montre l'efficacité de la nouvelle méthode comparée à deux méthodes à erreur de sortie classiques.

  • [hal-00751410] New Closed-Loop Output Error Method for Robot Joint Stiffness Identification

    This paper deals with joint stiffness identification with a new Closed-Loop Output Error (CLOE) method which minimizes the quadratic error between the actual motor force/torque and the simulated one. This method is based on the DIDIM (Direct and Inverse Identification Model) procedure which has been validated on rigid robots and which is now applied to a flexible joint robot. DIDIM method requires a gain updating in the simulated robot in order to keep the bandwidth of the rigid controlled degree of freedom (dof ) and to keep the natural frequency of the flexible dof, close to the actual ones, at each step of the recursive Gauss Newton non linear programming algorithm. This gain updating requires a first step of estimating the natural frequency of the flexible dof before applying DIDIM method in a second step. An experimental setup exhibits identification results and shows the effectiveness of our approach.

  • [hal-00638013] New results on the relation between tyre-road longitudinal stiffness and maximum available grip for motor car

    Tyre-road estimation methods have been the objective of many research programmes throughout the world. Most of these methods aim at estimating the friction components such as tyre longitudinal slip rate κ and friction coefficient μ in the contact patch area. In order to estimate the maximum available friction coefficient μmax , these methods generally use a probabilistic relationship between the grip obtained for low tyre excitations (such as constant speed driving) and the grip obtained for high tyre excitations (such as emergency braking manoeuvre). Confirmation or invalidation of this relationship from experimental results is the purpose of this paper. Experiments have been carried out on a reference track including several test boards corresponding to a wide textural spectrum. The main advantage of these experiments lies in the use of a vehicle allowing us to accurately build point-by-point relationship between κ and μ. This relationship has been determined for different tyres and pavement textures. Finally, the curves obtained are analysed to check the validity of the relationship between the current friction coefficient used by the car during normal driving conditions and μmax.

  • [hal-00656825] Experimental Joint Stiffness Identification Depending on Measurements Availability

    This paper addresses the important topic of joint flexibility identification. Three dynamic models depending on measurements availability are compared. The parameters are estimated by using the ordinary least squares of an over linear system obtained from the sampling of the dynamic model along a closed loop tracking trajectory. An experimental setup exhibits the experimental identification results.

  • [hal-00638045] Comparaison des méthodes DIDIM et IV avec les Doubles Moindres Carrés : Application à la Robotique

    L'identification des paramètres dynamiques des robots est généralement basée sur l'utilisation du modèle dynamique inverse (MDI) qui est linéaire par rapport aux paramètres dynamiques à identifier et les moindres carrés linéaires (MCL). Cette méthode nécessite une mesure précise d'une image du couple et de la position à une fréquence assez élevée d'une part, et de l'estimation des vitesses et accélérations par un filtrage passe bande de la position d'autre part. La matrice d'observation étant bruitée et l'identification étant effectuée en boucle fermée, nous avons adapté la méthode de la variable instrumentale (IV) pour remédier au problème de la matrice d'observation bruitée. Récemment, une méthode d'identification originale ne nécessitant que la mesure des couples (grandeurs d'entrée) a été appliquée avec succès sur un robot industriel à 6 degrés de liberté (DDL). Cette méthode appelée DIDIM est une méthode erreur de sortie en boucle fermée (CLOE) basée sur une simulation en boucle fermée du robot. Les résultats expérimentaux ont montré que les résultats IV et DIDIM sont numériquement égaux. Dans ce papier, nous comparons ces deux méthodes grâce à une analyse basée sur les doubles moindres carrés (2SLS). Cette étude est expérimentalement validée sur un robot 2 DDL plan.

  • [hal-00637551] Dynamic identification of a 6 dof industrial robot with a closed-loop output error method

    Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. This method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. Recently, the DIDIM method has been proposed and validated on a 2 degree-of-freedom robot. DIDIM method requires only the joint force/torque measurement. It is a closed-loop output error (CLOE) method based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. A validation experiment on a 6 dof Staubli TX40 robot shows that DIDIM method is very efficient on industrial robots.

  • [hal-00638032] Dynamic Identification of a 6 Dof Robot without Joint Position Data

    Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is calculated with torque and position sampled data while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. This method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. A new method called DIDIM (Direct and Inverse Dynamic Identification Models) has been proposed and validated on a 2 degree-of- freedom robot [1]. DIDIM method requires only the joint force/torque measurement. It is based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. A validation experiment on a 6 dof Staubli TX40 robot shows that DIDIM method is very efficient on industrial robots.

  • [hal-00656818] Joint Stiffness Identification from only Motor Force/Torque Data

    This paper deals with joint stiffness identification with only actual motor force/torque data instead of motor and load positions. The parameters are estimated by using the DIDIM method which needs only input data. This method was previously validated on a 6 DOF rigid robot and is now extended to flexible systems. The criterion to be minimized is the quadratic error between the measured actual motor force/torque and the simulated one. The optimal parameters are calculated with the Nelder - Mead simplex algorithm. An experimental setup exhibits the experimental identification results and shows the effectiveness of our approach.

  • [hal-00638037] Dynamic identification of a 6 dof industrial robot with a closed-loop output error method needing only input data

    Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. This method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. A new method called DIDIM has been proposed and validated on a 2 degree-of-freedom robot. DIDIM method requires only the joint force/torque measurement. It is a closed-loop output error (CLOE) method based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. A validation experiment on a 6 dof Staubli TX40 robot shows that DIDIM method is very efficient on industrial robots.

  • [hal-00508898] DIDIM: A New Method for the Dynamic Identification of Robots from only Torque Data

    Usually, the identification of the dynamic parameters of robot is based on the use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories. This allows using linear least squares techniques to estimate the parameters. The efficiency of this method has been proved through the experimental identification of a lot of prototypes and industrial robots. However, this method needs joint torque and position measurements and the estimation of the joint velocities and accelerations through the pass band filtering of the joint position at high sample rate. The new method overcomes these drawbacks. It is based on a closed loop simulation using the direct dynamic model. The optimal parameters minimize the 2 norms of the error between the actual torque and the simulated torque assuming the same control law and the same tracking trajectory. This non linear least squares problem dramatically is simplified using the inverse model to calculate the simulated torque.

  • [hal-00520261] Refined Instrumental Variable method for non-linear dynamic identification of robots

    The identification of the dynamic parameters of robot is based on the use of the inverse dynamic identification model which is linear with respect to the parameters. This model is sampled while the robot is tracking “exciting” trajectories, in order to get an over determined linear system. The linear least squares solution of this system calculates the estimated parameters. The efficiency of this method has been proved through the experimental identification of a lot of prototypes and industrial robots. However, this method needs joint torque and position measurements and the estimation of the joint velocities and accelerations through the bandpass filtering of the joint position at high sample rate. So, the observation matrix is noisy. Moreover identification process takes place when the robot is controlled by feedback. These violations of assumption imply that the LS estimator is not consistent. This paper focuses on the Refined Instrumental Variable (RIV) approach to over-come this problem of noisy observation matrix. This technique is applied to a 2 degrees of freedom (DOF) prototype devel-oped by the IRCCyN Robotic team.

  • [hal-00508965] Identification des paramètres dynamiques des robots avec la méthode de la variable instrumentale

    L'identification des paramètres dynamiques des robots est généralement basée sur l'utilisation du modèle inverse qui est linéaire par rapport aux paramètres dynamiques à identifier. Afin d'obtenir un système surdéterminé, ce modèle est échantillonné pendant que le robot est piloté avec des mouvements excitants. La solution optimale est obtenue à l'aide des moindres carrés linéaires (MCL). L'efficacité de cette approche a été prouvée à travers de l'identification expérimentale de nombreux prototypes et robots industriels. Elle a été étendue à d'autres systèmes tels que les compacteurs, les voitures, les moteurs et les interfaces haptiques. Cependant, cette méthode nécessite une mesure précise d'une image du couple et de la position à une fréquence assez élevée. Elle nécessite également l'estimation des vitesses et accélérations par un filtrage passe bande de la position. La matrice d'observation est donc bruitée. De plus, l'identification est effectuée en boucle fermée du fait du caractère double intégrateur instable des robots. La méthode de la variable instrumentale (IV) traite du problème de la matrice d'observation bruitée et peut être statistiquement optimale. Ce papier se focalise sur cette technique et propose une extension de cette méthode. Elle est appliquée sur un robot 2 degrés de liberté (DDL) plan développé par l'équipe robotique de l'IRCCyN.

  • [hal-00520258] A new closed-loop output error method for parameter identification of robot dynamics

    Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. The efficiency of this method has been proved through the experimental identification of many prototypes and industrial robots. However, this method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. The proposed new method requires only the joint force/torque measurement. It is a closed-loop output error method where the usual joint position output is replaced by the joint force/torque. It is based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. This is a non-linear least-squares problem which is dramatically simplified using the inverse dynamic model to obtain an analytical expression of the simulated force/torque, linear in the parameters. A validation experiment on a 2 degree-of-freedom direct drive robot shows that the new method is efficient.

  • [hal-00536953] Dynamic identification of a 6 dof industrial robot without joint position data

    Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sampled while the robot is tracking reference trajectories that excite the system dynamics. This allows using linear least-squares techniques to estimate the parameters. This method requires the joint force/torque and position measurements and the estimate of the joint velocity and acceleration, through the bandpass filtering of the joint position at high sampling rates. A new method called DIDIM has been proposed and validated on a 2 degree-of-freedom robot. DIDIM method requires only the joint force/torque measurement. It is based on a closed-loop simulation of the robot using the direct dynamic model, the same structure of the control law, and the same reference trajectory for both the actual and the simulated robot. The optimal parameters minimize the 2-norm of the error between the actual force/torque and the simulated force/torque. A validation experiment on a 6 dof Staubli TX40 robot shows that DIDIM method is very efficient on industrial robots

  • [hal-00402785] Experimental Identification of the Inverse Dynamic Model : Minimal Encoder Resolution Needed Application to an Industrial Robot Arm and a Haptic Interface. In : Robot manipulators.

    Ce chapitre de livre, accessible par internet, décrit une méthode pour connaître l'influence de l'erreur de mesure sur le résultat final. Elle revient à utiliser une méthode classique utilisée dans l'évaluation de la robustesse des simulations numériques vis à vis de la troncature liée au codage des réels par les ordinateurs. (la méthode CESTAC :Contrôle et Estimation Stochastique des Arrondis de Calculs).

  • [hal-00402723] Identification of Robots Dynamics with the Instrumental Variable Method

    The identification of the dynamic parameters of robot is based on the use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories, in order to get an over determined linear system. The linear least squares solution of this system calculates the estimated parameters. The efficiency of this method has been proved through the experimental identification of a lot of prototypes and industrial robots. However, this method needs joint torque and position measurements and the estimation of the joint velocities and accelerations through the pass band filtering of the joint position at high sample rate. So, the observation matrix is noisy. Moreover identification process takes place when the robot is controlled by feedback. These violations of assumption imply that the LS solution is biased. The Simple Refined Instrumental Variable (SRIV) approach deals with this problem of noisy observation matrix and can be statistically optimal. This paper focuses on this technique which will be applied to a 2 degrees of freedom (DOF) prototype developed by the IRCCyN Robotic team.

  • [hal-03562604] A new framework for Mobility Allowance Shuttle Transit (MAST)

    [...]

  • [hal-03544169] Mixed-Integer Linear Programming (MILP) formulation for a Mobility Allowance Shuttle Transit (MAST)

    The Mobility Allowance Shuttle Transit (MAST) system is a type of public transportation where vehicles may deviate from a fixed route to serve clients who wish to get on or off within a service area. In this area, the system provides an on-demand service. We use Mixed-Integer Linear Programming to tackle the MAST system and consider often neglected realistic constraints, as those linked to vehicle capacity and fleet availability. We perform a sensitivity analysis to understand how the system performance varies as a result of changing client priorities.

  • [hal-02868022] Vehicle energy savings by optimizing road speed-sectioning

    In a context of decreasing resources and of climate change, lowering road vehicles consumption is a key point to meet CO2 reduction requirements. In addition to car technological advances, eco-driving is part of the solution but the road infrastructure should ensure its development. This work aims to demonstrate that road energy demand and associated pollutant emissions can be reduced by working out minor optimization of road infrastructure itself. For this to happen, a simple eco-driving potential criterion is built upon infrastructure parameters such as slopes and sight distances. This criterion aims to detect Misplaced Speed-sectioning Positions (MSP) with regard to the Starting Point of Deceleration (SPD); with speed-sectioning being the succession of speed changes along a given route. An enhanced energy waste formulation is then developed to quantify the vehicles energy waste due to misplaced road-signs. Thirdly, a traffic simulation constitutes a framework for energy evaluation; considering a full flow of vehicles, based on real traffic data, and by modeling several driver behaviors. Simulation results show that a significant fuel reduction of up to 5.5% can be achieved locally, simply by moving a road sign, for rural areas and without degrading road safety.

  • [hal-02081082] Ecodriving potential of roads according to their speed sectioning : Bosnia and France cases

    Eco-driving is an efficient way to preserve energy resources and limit environment impacts. It is first of all a question of driver behaviour and motivation, vehicle characteristics, but infrastructure parameters could favour - or impede- ecodriving. This study aims to qualify this infrastructure influence, for the speed sectioning parameter of roads. A research evaluating the adequacy between speed changes along a route, vehicle dynamics and the road gradient constitute the frame of this work. Indeed this adequacy has been proven to be descriptive of the ecodriving potentiality of a route, as detailed in a previous experimental evaluation in France (Coiret et al [8]). It is reinforced here with the help of experimental evaluation in Bosnia, with a metro-logical reinforcement : differential gps, temporal tagging system at points of interest, roof anemometer for the influence of wind, is now used to have more accurate data. In particular the better altitude measurements increase results quality, with achievable reductions of 5 % of energy consumptions for given route sections with sectioning optimisation (ie : simple speed limit panels repositioning) We have also researched crucial points on how to compare different countries and their legislation, geography, and traffic conditions. Bosnia and Herzegovina and France are in the context, to indicate that an assessment of quality level in eco-driving of the two countries is taken in consideration. Perspectives are given in terms of traffic software generalization of the experimental results and in terms of speed sectioning revisions in order to reduce linked energy losses and CO2 emissions. A route model could then be evaluated, for which speed-sectioning and positioning of amenities (speed bumper, traffic lights) could be optimized in energy use of infrastructure, with a concern not to alter the security features.

  • [hal-01502084] ACV des projets d'infrastructures route/rail à l'échelle d'un réseau avec prise en compte des paramètres d'éco-conception

    Le point de départ de notre recherche était la comparaison environnementale de différentes techniques de construction d'infrastructure de transport. Ce travail est matérialisé par le logiciel Ecorce. Il s'agissait de sélectionner et d'améliorer les techniques de construction pour réduire les impacts environnementaux. Cependant, les impacts environnementaux d'une infrastructure de transport sont, pour des critères comme les GES ou l'énergie, imputables pour une grande partie à la phase d'usage. L'idée initiale de notre recherche fut donc d'évaluer et de proposer des solutions afin de limiter les impacts de la phase d'usage dès la conception du projet par l'optimisation des matériaux ou des tracés. Aborder la phase d'usage étend considérablement les domaines à étudier. Pour arriver à des résultats concrets, nous avons restreint notre champ d'investigation à deux critères : les GES et l'énergie. Par ailleurs, nous avons travaillé en collaboration : avec la SNCF réseau sur la partie ferroviaire, avec le Laboratoire Transport et Environnement sur la partie routière. Ainsi, dans le domaine ferroviaire, nous avons proposé une méthodologie d'évaluation appelée PEAM (Project Energy Assessment Method) que nous avons appliquée pour évaluer et comparer deux tracés sur le projet de ligne à grande vitesse Montpellier-Perpignan. Dans le domaine ferroviaire, nous sommes allés au bout des objectifs initiaux du livrable, car nous avons aussi considéré la ligne classique existante, nous nous sommes donc situés au niveau d'un réseau. Dans le domaine routier, nous avons proposé une méthodologie appelée Sloop (Slope optimisation) afin d'optimiser le profil longitudinal d'un tracé routier pour limiter l'énergie ou les émission de GES pendant les phases de construction, de maintenance et d'usage. Nous l'avons appliqué sur un projet récent de modification du tracé de la RN7 afin d'évaluer son potentiel. Ainsi, sur ce cas, nous avons montré que nous pouvions baisser de 10% les émissions de GES en phase d'usage en proposant un profil longitudinal optimisé et réaliste au regard des critères de conception routière. Nous avons également contribué à démontrer l'influence de la texture sur la consommation de carburant en étudiant l'impact de la résistance au roulement du reÐtement de chaussée. Ceci ouvre des perspectives importantes concernant la gestion des réseaux d'infrastructure. En effet, certaines techniques bas coût comme les enduits ont des macrotextures importantes qui pourraient être à l'origine de surconsommation. Alors que le domaine routier était notre domaine de prédilection, nous sommes allés moins loin que dans le domaine ferroviaire en n'atteignant pas l'échelle du réseau comme le titre initial du livrable le présuppose. Cela tient à la différence de culture entre les deux domaines. Le propriétaire de lgv tient compte explicitement de l'énergie qu'il va facturer à l'entreprise ferroviaire. Le propriétaire d'un réseau routier n'est pas dans cette situation. Il a, donc, été, pour nous, plus facile de susciter des collaborations avec des entreprises du domaine ferroviaire que dans le domaine routier. Cependant, nos résultats récents nous rendent optimistes pour nouer de nouvelles collaborations dans ce secteur. Nous avons proposé une suite à ce travail pour le contrat d'objectif et de performance 2017-2021. Cette proposition a été validée par l'Ifsttar et ses tutelles. Nous utiliserons nos acquis concernant l'évaluation de la phase d'usage pour orienter nos travaux vers l'écoexploitation des infrastructures de transport. Il s'agira de proposer un outil d'évaluation des impacts environnementaux qui prendra en compte la phase d'usage ce qui permettra de synthétiser nos résultats et de les proposer via un logiciel adapté à la profession. Nous travaillerons également sur la potentialité d'éco-conduite des infrastructures routières selon l'adéquation entre tracé et vitesse d'usage à travers une thèse qui a commencé fin 2016 en cotutelle avec l'université de Sarajevo. Nous continuerons à travailler sur la résistance au roulement et sur l'influence des paramètres géométrique des tracés sur la consommation au sein du projet Danois Rose. Nous avons prévu une ouverture au mode doux en étudiant l'usage des pistes cyclables en développant un appareil permettant de mesurer la « cyclabilité » des itinéraires à Îlo, la « cyclabilité » étant la mesure de l'énergie d'usage. Lors de la prise en compte de la phase d'usage, nous avons concentré nos travaux sur deux critères : les GES et l'énergie. Sans se disperser, nous nous intéresserons progressivement à d'autres indicateurs comme les émissions de particules fines.Enfin, nous sommes, actuellement, limités dans nos évaluations par nos hypothèses simplistes sur le trafic. Nous devrons monter des collaborations afin de construire différents scénarios d'évolution permettant de fournir des évaluations plus riches tenant compte, notamment, de l'arriÎe du Îhicule autonome.

  • [hal-03326458] Simulation d'une population synthétique : méthodologie et cas d'application sur Nantes SNCF TER Mobilités Pays de la Loire - Ifsttar / Livrable 2

    Ce rapport est le deuxième rapport prévu au sein de ce contrat, écrit par l'équipe universitaire à destination de la SNCF dans le cadre de la convention de co-encadrement SNCF/UniversitéGustaveEiffel (anciennement Ifsttar) accompagne cette thèse (No Ifsttar : RP1-E19045) sous la responsabilité scientifique de Jean Calio, expert Data, Mobilité et Territoires et Développement Durable de la SNCF et de Pierre-Olivier Vandanjon.

  • [hal-01631564] Étude de trajectoires fluviales pour la métropole Rouen Normandie

    Rouen métropole a sollicité les capacités de l'Ifsttar dans le domaine du traitement du signal appliqué à l'usage des infrastructures à travers un courriel envoyé le 1er mars 2017 par M Toynan, responsable du service Ouvrage d'art de la métropole de Rouen, à MM Coiret et Vandanjon, chercheurs à l'Ifsttar. Cette sollicitation concerne un ouvrage en projet pour le franchissement de la Seine. L'ouvrage sera de type léger, sous la forme d'une passerelle dédiée aux modes doux (cycles, piétons). Il complètera l'offre de franchissement existante et reliera efficacement des pôles générateurs de déplacements dans l'agglomération, et notamment l'Ecoquartier Luciline en cours de réalisation en rive droite et l'Ecoquartier Flaubert en projet en rive gauche dans le cadre du projet global Seine Cité. L'ouvrage est donc envisagé dans le secteur Ouest de l'agglomération rouennaise, entre les ponts Guillaume Le Conquérant et Gustave Flaubert, soit en traverse de la partie de Seine accueillant régulièrement la grande Armada. Les appuis principaux de la structure seraient situés dans l'alignement des hangars existants. La structure provisoire dite > sera déconstruite préalablement aux travaux de passerelle. A ce jour, il n'est pas envisagé d'implanter d'appui définitif en Seine. Néanmoins, le recours à des appuis intermédiaires en phase réalisation semble incontournable. De même, la définition d'un gabarit de passe navigable influe sur la définition de la limite basse d'intrados d'ouvrage et donc sur la définition des accès. Seule une connaissance plus précise des trajectoires fluviales entre le Pont Guillaume le Conquérant en amont et le Pont Flaubert en aval permettra donc de gagner en précision sur la définition des implantations possibles d'appuis provisoires puis sur la définition du gabarit fluvial définitif. À cet effet, l'Ifsttar a été sollicité pour une étude statistique de trajectoire de navires, selon un cahier des charges qui est donné en annexe au présent document. L'Ifsttar a répondu à ce cahier des charges en rédigeant une proposition technique, également en annexe à ce document, dont le produit est un rapport d'étude sur les trajectoires fluviales sur la section considérée. Une réunion de lancement a eu lieu le 11 mai 2017 dans les locaux de Rouen métropole. Ce document est la troisième version de ce rapport d'étude. Une première version a été envoyée le 17 juin afin d'échanger avec la Métropole Rouen Normandie. Ce document a été le support d'une réunion téléphonique avec la métropole de Rouen le 27 juin afin, notamment, de préparer une réunion entre la métropole et le grand port maritime de Rouen. Nous avons abouti à une deuxième version envoyée le 3 juillet 2017 afin de fournir des données opérationnelles pour la métropole. Suite à des relectures internes, nous avons modifié cette deuxième version en améliorant sa forme afin d'aboutir à cette version qui est remise lors de la réunion de présentation des résultats du 11 juillet 2017. Ce rapport est découpé en 10 chapitres. Tout d'abord, la structure des données, que nous avons obtenues par le port maritime, est expliquée. Les grandes étapes du traitement de ces données sont présentées dans le chapitre suivant. Puis, les résultats de ce traitement sont affichées sous forme de graphiques pour chaque trimestre de l'année 2016 dans les chapitres 4 à 8. Enfin, les deux dernier chapitres discutent les résultats et conclut le rapport.

  • [hal-03027667] Initiative ciblée VibraSimu - Rapport final

    Le projet VibraSimu, financé par la direction scientifique de l'IFSTTAR, a été conduit de 2017 à 2019 par trois laboratoires de l'établissement : le Lepsis, Ease et le LPC. Le projet vise à mesurer les vibrations d'un vélo, à les modéliser et les reproduire sur simulateur immersif et enfin, à en évaluer l'impact sur le ressenti des participants. Le projet offre ainsi une meilleure connaissance des vibrations transmises au vélo et au cycliste lors de la circulation sur différents revêtements et améliore le simulateur vélo de l'institut en produisant les vibrations liées aux irrégularités de la chaussée. Il montre également la limite des dispositifs grand public (smartphones) pour mesurer ces vibrations.

  • [hal-00850621] Procédé et dispositif d'évaluation de l'usure d'un pneu

    L'invention concerne un procédé d'évaluation (1) de l'usure d'un pneu (2) apte à être exécuté sur un calculateur (6). Selon l'invention, le procédé (1) consiste à : déterminer, dans une première phase (10), une première fonction (F5) représentative de l'usure courante du pneu (2), comparer, dans une deuxième phase (12), au moins un point de cette première fonction (Fs) représentative de l'usure courante du pneu (2) avec au moins une borne (B) correspondant à une usure nominale limite du pneu (2) d'une fonction de référence (F0) modélisant l'usure du pneu (2), émettre un signal d'alerte (Z) propre à l'usure limite du pneu (2) lorsqu'au moins un point de la première fonction (F5) dépasse la au moins une borne (B). L'invention concerne également un dispositif convenant à la mise en oe½uvre dudit procédé (1) selon l'invention.

  • [hal-03196270] Generating a two-layered synthetic population for French municipalities: Results and evaluation of four synthetic reconstruction methods

    This article describes the generation of a detailed two-layered synthetic population of households and individuals for French municipalities. Using French census data, four synthetic reconstruction methods associated with two probabilistic integerization methods are applied. The paper offers an in-depth description of each method through a common framework. A comparison of these methods is then carried out on the basis of various criteria. Results show that the tested algorithms produce realistic synthetic populations with the most efficient synthetic reconstruction methods assessed being the Hierarchical Iterative Proportional Fitting and the relative entropy minimization algorithms. Combined with the Truncation Replication Sampling allocation method for performing integerization, these algorithms generate household-level and individual-level data whose values lie closest to those of the actual population.

  • [hal-03500363] Multi-scale spatial analysis of household car ownership using distance-based Moran's eigenvector maps: Case study in Loire-Atlantique (France)

    Analyzing spatial structures of transportation data at various scales can be of prime interest to transportation planning and governance. In recent years, multi-scale spatial analysis methods have been developed and used in fields like ecology and geography, but only a few studies have applied these methods to transportation data. However, such methods can provide an efficient exploratory tool for: identifying those scales at which transportation data vary spatially; modeling the spatial structures at each scale; and determining the processes at work that explain these spatial structures. This paper describes and demonstrates how a multi-scale spatial analysis method, namely distance-based Moran's eigenvector maps (dbMEM), can be applied to study the spatial layout of car ownership. For this analysis, we rely on aggregated census data for small statistical areas within France's Loire-Atlantique administrative region. At first, 176 spatial vectors representing spatial patterns with a positive autocorrelation are constructed. Among the 176 vectors, only 23 significant ones are retained after performing a regression with car ownership as the dependent variable. Next, we divide these spatial vectors into three sub-models representing three spatial scales: broad scale, medium scale, and fine scale. Lastly, we identify a set of sociodemographic factors capable of explaining the spatial variation at each scale, i.e.: the broad-scale variation is mainly explained by population density, couples with children and income variables; the medium scale by couples with children, share of individuals in the 25-54 year age range and income; and the fine scale by couples with children and income variables.

  • [hal-03676872] Statistical analysis of fluvial trajectories based on AIS database for the construction of a bridge

    The French metropolis, Rouen Normandie, has a project of a new bridge requiring temporary pier in the river Seine during the building phase. The location of this pier in the river is constrained by mechanical reasons related to the construction of the bridge. The purpose of this study is to find a position of this pier in the mechanically constrained area which minimizes vessel traffic obstruction and therefore collision risk. This type of study is classically carried out by using complex and multiple vessel dynamics simulation software in order to assess the risk for a given vessel to crash into the pier. The novelty of this study is to propose a statistical study based on the database of Automatic Identification System (AIS) of the Vessel Traffic Service (VTS) that is an automatic tracking system relying on ships transceivers. The technical objective is to identify low risk areas according to vessel speeds and sizes. Both factors should have an impact on the maneuverability of ships to avoid pier collision risk. Among all trajectories, straight line trajectories are selected based on statistical methods. The computation of prediction intervals of these trajectories delimits navigation zone. If all the straight trajectories are taken into account, the navigation zone extends to the whole river surface, which is not an helping result. However, by focusing on large and high speed vessels trajectories the navigation zone of these weak maneuverable ships is more centered in the middle of the river and represents only 25% of the river area. The complement of this area delineates possible locations of the temporary pier of the bridge in the river that do not disrupt vessel traffic.

  • [hal-03675707] Road safety assessment in curves based on a road embedded tire to road friction sensor

    Road safety relies mostly on available tire to road grip regarding to the forces required by a vehicle in a given dynamic situation. For example safety issues can occur when deceleration required forces exceeding the tire/road grip potential. Issues are much critical while traveling in a curve with a coupled longitudinal/transverse grip demand. Instrumented vehicles can be used in order to evaluate the available tire to road grip in rolling situations, but it remains linked to a dedicated vehicle and models have to be use to extrapolate these evaluations to various vehicles. The aim of this work is to propose a sensor embedded in the road infrastructure to evaluate the longitudinal and transverse grip demand of any traveling vehicle. A 6 axis sensor is embedded in a road test track, under a piece of the real road upper layer. Measurement are made at a acquisition rate of 2500 Hz and forces measuring ranges are of 2500 daN (vertical axis) and 750 daN (tangential). Measurements are compared to on-board measurement with a vehicle instrumented with dynamometric wheels. Three situations are experienced in a 100 meters curve: traveling at a given speed and traveling while accelerating or braking moderately, and for three vehicle speeds of 40, 60 and 80 km/h. Force evaluation from the two systems are differing of only 5% for the vertical force and 10% for the tangential forces. The differences are lower for the higher grip demands. For example moderate braking from 70 km/h in curve lead to 0.23 and 0.25 longitudinal friction coefficients (LFC) for road sensor and dynamometric wheel, and to 0.17 and 0.19 transversal friction coefficients (TFC). In perspectives, evaluations of an excessive grip demand could result in solutions as lowering the designed speed or improving the road surface layer.

  • [hal-03282111] Methodology for Adding a Variable to a Synthetic Population from Aggregate Data: Example of the Income Variable

    This paper presents a framework to tackle the problem, which has received little attention in the literature, of adding variables to a synthetic population from aggregate data. The work herein thus enriches the existing literature by proposing a new and e icient methodology to meet this practical need. The methodology integrates three distinct stages, the first of which theoretically models the problem as a multinomial distribution. The addition of a new variable is formulated as an entropy maximization using the variables available in both the synthetic population and aggregate data. Solving this problem (in our specific case study) is not possible due to the large number of constraints involved. The second stage then presents a heuristic yielding a practical solution to the problem. This heuristic combines Bayes' theorem with the cross-entropy minimization algorithm. However, given the large number of parameters to be estimated by the proposed heuristic, some of the results obtained prove to be invalid. To rectify this shortcoming, a post-processing method is applied during a third stage to ensure the consistency of our results. The methodology is described in great detail, and examples are provided for a better understanding of these three stages. Also, this methodology is applied to a real-world case study. An income is allocated to each of the 157 000 households in the French city of Nantes based on aggregate data from the FiLoSoFi database. Income constitutes an essential microsimulation variable for taking many social and economic aspects into account (e.g. household purchasing power, redistribution policy, tax policy). Special attention is also paid to the reproducibility of our results with the databases and R-scripts used, all of which are freely available. This method remains general and is indeed applicable to other variables with available aggregate data.

  • [hal-03322463] Slope Optimisation (Sloop): Tailor-made optimisation for road longitudinal profile ecodesign considering the dynamic of vehicles

    The current transport system is not sustainable because of its high consumption of finite resources (mainly oil) and its impact on the environment (air quality, global warming, etc.). The design phase of the transport infrastructure has to be reconsidered in order to take into account these environmental burdens. Very recently, a methodology called Sloop (Slope Optimization) has been proposed to optimize the road longitudinal profile according to either an energy consumption or a Global Warming Potential (GWP) criterion calculated for construction and use phases. However, this optimization requires a high computation effort. It is a severe limitation to deploy this application to significant road project . The purpose of this paper is to propose a tailor-made optimization process which improves significantly this methodology. For the construction phase assessment, the methodology is based on a model of earthworks which computes the differences of geometry between the natural terrain and the road longitudinal profile. The use phase is assessed by simulating the traffic. Traffic simulations are based on vehicle dynamic models validated with real experiments. Starting from an initial longitudinal profile proposed by road designers, our algorithm finds a better profile in terms of Energy or GWP. The degrees of freedom of the optimization problem are mainly the road slopes and secondly the radii of the circles which connect them. The main constrain is the connection of the profile with the existing road. The optimization is complex due to the important number of degrees of freedom and the computation cost of the use phase assessment. It is the reason why, we developed a specific algorithm based on the Sequential Quadratic Programming Method (SQP) with suited computations of the linear approximation.


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Allocating imprecise safety targets in satellite-based localization systems used in railway signaling operations

SASSI, Insaf ; BEUGIN, Julie ; SALLAK, Mohamed ; AIT TMAZIRTE, Nourdine   /   (2020)

ESREL'20 - PSAM 15, 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, ITALIE, 8p

https://www.esrel2020-psam15.org/

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ref decembre

On the robust guidance of users in road traffic networks

FARHI, Nadir ; HAJ SALEM, Habib ; LEBACQUE, Jean Patrick   /   (2014)

ICNAAM - International Conference of Numerical Analysis and Applied Mathematics, GRECE, 4p

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Démonstration de la sécurité opérationnelle de la téléconduite des trains : contexte, méthodologie et défis

BOUSSIF, Abderraouf ; COLLART-DUTILLEUL, Simon ; BARANOWSKI, François ; BEUGIN, Julie ; SCHON, Walter   /   (2020)

Lambda Mu 22, 22e Congrès de maîtrise des risques et de sûreté de fonctionnement, Les risques au coeur des transitions (e-congrès), FRANCE, pp312-320

https://www.imdr-lm22.fr

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Proposition d'une approche orientée modèles pour évaluer la sécurité des systèmes de signalisation ferroviaire utilisant les GNSS

HIMRANE, Ouail ; BEUGIN, Julie ; GHAZEL, Mohamed   /   (2020)

Lambda Mu 22, 22e Congrès de maîtrise des risques et de sûreté de fonctionnement. Les risques au coeur des transitions (e-congrès), FRANCE, 10p

https://www.imdr-lm22.fr/
https://hal.archives-ouvertes.fr/hal-03480709

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Allocating imprecise safety targets in satellite-based localization systems used in railway signaling operations

SASSI, Insaf ; BEUGIN, Julie ; SALLAK, Mohamed ; AIT TMAZIRTE, Nourdine   /   (2020)

ESREL'20 - PSAM 15, 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, ITALIE, 8p

https://www.esrel2020-psam15.org/

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Towards a Model-Based Safety Assessment of Railway Operation Using GNSS Localization

HIMRANE , Ouail ; BEUGIN, Julie ; GHAZEL, Mohamed   /   (2020)

ESREL'20 - PSAM 15, 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, ITALIE, 8p

https://www.esrel2020-psam15.org/

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Toward Formal Safety and Performance Evaluation of GNSS-based Railway Localisation Function

HIMRANE, Ouail ; BEUGIN, Julie ; GHAZEL, Mohamed   /   (2021)

IFAC-PapersOnLine, 54, 2, pp159-166, doi: 10.1016/j.ifacol.2021.06.049

https://www.sciencedirect.com/science/article/pii/S2405896321004973
https://doi.org/10.1016/j.ifacol.2021.06.049

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Towards a Specified Operational Design Domain for a Safe Remote Driving of Trains

TONK, Abhimanyu ; BOUSSIF, Abderraouf ; BEUGIN, Julie ; COLLART-DUTILLEUL, Simon   /   (2021)

ESREL 2021, 31st European Safety And Reliability Conference, FRANCE, 8p

https://easychair.org/smart-program/ESREL2021/

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From French National Signaling Systems to ERTMS: Considering the Evolution of Track-Side Systems

DE ALMEIDA PEREIRA, Dalay Israel ; HIMRANE, Ouail ; BON, Philippe ; BEUGIN, Julie   /   (2021)

International Journal of Signal Processing Systems, 9, 2, pp11-16

http://www.ijsps.com/index.php?m=content&c=index&a=show&catid=77&id=333

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Wassim Hached, Alain L'Hostis
Mobility Hubs, from exploring the concept to implementing and assessing its impact. Forum de l'AIT, Feb 2023, Paris, France
Wassim Hached, Alain L'Hostis, Albert Gragera
Discover a clearer vision of mobility hubs: With Mobi-Mix, from literature review to implementation, and assessment. TRA - Transport Research Arena, Nov 2022, Lisbon, Portugal
Alain L'Hostis, Maxime Hachette
Rockets shriveling the world. Journal of Transport Geography, 2022, 104, pp.103423
10.1016/j.jtrangeo.2022.103423
Dylan Moinse, Alain L'Hostis
The Combination of Collective and Individual Modes in the Hauts-de-France Region: A Quantitative Observation of On-board Small Vehicles. Union Géographique Internationale, Jul 2022, Paris, France
Wassim Hached, Alain L'Hostis
Mobility Hubs, a lever for more sustainable mobility?. [Research Report] Université gustave eiffel; LVMT. 2022, pp.75
Maxime Hachette, Alain L'Hostis
Guidance for infrastructure and investment policies. Université gustave eiffel; LVMT. 2022, pp.44
Dylan Moinse, Matthieu Goudeau, Alain L'Hostis, Thomas Leysens
Intermodal use of (e-)scooters with train in the Provence-Alpes-Côte d’Azur region: towards extended train stations areas?. Environmental Economics and Policy Studies, 2022
10.1007/s10018-022-00349-7
Wassim Hached, Alain L'Hostis
Enhancing Mobility Hubs' insights with Mobi-Mix. e smartec and MOBI MIX Joint Final Conference, Nov 2022, Bruxelles, Belgium
Dylan Moinse, Alain L'Hostis
La intermodalitat entre el transport públic i els modes individuals. Une observació quantitativa de vehicles petits a bord. Vermuts de la Mobilitat, Institut d'Estudis Regionals i Metropolitans de Barcelona, Oct 2022, Barcelona, Spain. pp.39
Maxime Hachette, Alain L'Hostis
Policy Roadmap and Policy Guide. Université gustave eiffel; LVMT. 2022, pp.55
Wassim Hached, Alain L'Hostis, Albert Gragera
Investigating “mobility hubs“, and assessing their impacts. TRA, Nov 2022, Lisbon, Portugal. 2022
Alain L'hostis, Farouk Abdou
What is the Shape of Geographical Time-Space? A three-dimensional Model made of Curves and Cones. ISPRS International Journal of Geo-Information, 2021, 10 (5), pp1-17
10.3390/ijgi10050340
Dylan Moinse, Matthieu Goudeau, Alain L'Hostis
An Analysis of Intermodal Use of E-scooters with train in the Provence-Alpes-Côte d’Azur Region, in France: Towards Extended Railway Station Areas?. Smart And Sustainable Cities Conference #3 - Session 5: Urban mobility, New Technologies and Urban Development, May 2021, Lille, France
Alain L'Hostis, Farouk Abdou
Courbes et cônes pour cartographier la possibilité du mouvement : une représentation tridimensionnelle de l’espace-temps géographique Chinois. 2021
Wassim Hached, Alain L'Hostis
Mobility hubs, new levers for sustainable urban mobility?. Environmental Sustainability & Smart-Cities, May 2021, Lille, France
Wassim Hached, Alain L'Hostis
Le Mobility hub : un véritable allié de la mobilité urbaine durable ? Instauration d'un cadre conceptuel pour évaluer deux expériences Européennes à Valenciennes et Norfolk. JM RST 2021 : Journées Mobilités du Réseau Scientifique et Technique, Sep 2021, Lyon, France
Dylan Moinse, Matthieu Goudeau, Alain L'Hostis
Une analyse de l'usage intermodal des trottinettes avec le train dans la région Provence-Alpes-Côte d’Azur. Vers une extension des quartiers de gare ?. Future Days - Mobilité décarbonée (session 2), Nov 2021, Marne-la-Vallée, France
Wassim Hached, Alain L'Hostis
Émergence des " Mobility hubs" comme outils d'une mobilité urbaine durable ? Définition et évaluation de deux expériences européennes à Valenciennes et Norfolk. Future Days, Nov 2021, Marne-la-Vallée, France
Alain L'Hostis, Jean-François Barbier
Villes qui se rapprochent, espace qui s'éloigne: outils visuels pour représenter le paradoxe de l'espace-temps géographique. Talweg - La distance, 2021, 06, pp60-67
Claire Tollis, Alain L'Hostis, Redha Boubakour
Low Appetite for High Tech: When the Indifference of Inhabitants to Digital Mobilities Impedes a Smart Suburbs Project in Loos-en-Gohelle, France. International Journal of Urban Planning and Smart Cities (IJUPSC), 2020, 1 (1), pp45-57
10.4018/IJUPSC.2020010104
Mirko Goletz, Sonja Haustein, Christina Wolking, Alain L'Hostis
Intermodality in European metropolises: The current state of the art, and the results of an expert survey covering Berlin, Copenhagen, Hamburg and Paris. Transport Policy, 2020, 94, pp.109-122
10.1016/j.tranpol.2020.04.011
Benoît Kloeckner, Alain L'Hostis, Thomas Richard
Contextual metrics. A mathematical definition for a comprehensive approach of geographical distances. Geographical Analysis, 2020
10.1111/gean.12260
Alain L'Hostis
All geographical distances are optimal. Cybergeo : Revue européenne de géographie / European journal of geography, 2020, 947
10.4000/cybergeo.35048
Arnaud Can, Alain L'hostis, Pierre Aumond, Dick Botteldooren, Margarida C Coelho, et al.
The future of urban sound environments: Impacting mobility trends and insights for noise assessment and mitigation. Applied Acoustics, 2020, 170, pp1-8
10.1016/j.apacoust.2020.107518
Claire Tollis, Alain L'Hostis, Redha Boubakour
Low Appetite for High Tech: When the Indifference of Inhabitants to Digital Mobilities Impedes a Smart Suburbs Project. International Journal of Urban Planning and Smart Cities (IJUPSC), 2020, 1 (1), pp.45-57
10.4018/IJUPSC.2020010104
Claire Tollis, Alain L'Hostis, Redha Boubakour
Quand la participation des habitants retoque le projet d'un périurbain intelligent. Enseignements d'un programme de recherche-action sur les mobilités durables à Loos-en-Gohelle (62). revue Urbanités, 2019, 12, 11p
Nathan Bounie, François Adoue, Martin Koning, Alain L'Hostis
What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region. Transportation Research : Part A, Policy and Practice, 2019, 130, pp158-177
10.1016/j.tra.2019.09.006
Alain L'Hostis, Thomas Leysens, Liu Liu
Contribution de la future ligne ferroviaire à grande vitesse Tours-Bordeaux au développement des réseaux des villes, une évaluation par le potentiel de contact. Cybergeo : Revue européenne de géographie / European journal of geography, 2018
10.4000/cybergeo.29365
Francis Papon, Alain L'Hostis
La mobilité produit l'urbanisme, et inversement. La Jaune et la Rouge, 2018, 738, 5p
Eleni Chalkia, Maria Teresa de La Cruz, Imre Keseru, Alain L'Hostis, Beate Muller
Societal Trends Influencing Mobility and Logistics in Europe: A Comprehensive Analysis.. Towards User-Centric Transport in Europe, Challenges, Solutions and Collaborations Challenges, Solutions and Collaborations, Springer Nature, pp. 31-49, 2018, Lecture Notes in Mobility
10.1007/978-3-319-99756-8_3
Alain L'Hostis, Liu Liu, Thomas Leysens
Using contact potential measurements to analyse future intercity links made possible by the Tours-Bordeaux High-Speed Rail line. Belgeo : Revue Belge de Géographie, 2017, 1
10.4000/belgeo.19584
Hélène Jacquot-Guimbal, Jean-Bernard Kovarik, Latifa Oukhellou, Alain L'Hostis, Guillaume Uster
Réussir les transitions que nous sommes en train de vivre. Point de vue de la directrice de l'Institut Francais des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - Ifsttar. Transports Environnement Circulation, 2017, 232, 2p
Alain L'Hostis
Detour and break optimising distance, a new perspective on transport and urbanism. Environment and Planning B: Planning and Design, 2017, 44 (3), pp.441-463
10.1177/0265813516638849
Alain L'Hostis, Claude Soulas, Bogdan Vulturescu
A Multi‐criteria approach for choosing a new public transport system linked to urban development: a method developed in the Bahn.Ville project for a tram‐train scenario in the Saint‐Étienne region. RTS - Recherche Transports Sécurité, 2017, 2016 (01-02), pp.17-25
10.4074/S0761898016002028
Anne Aguilera-Belanger, Nacima Baron, J
Berrada, O. Bonin, V. Boutueil, et al.. Les mots du LVMT (Laboratoire Ville Mobilité Transport). 2017
Eleni Chalkia, Beate Mueller, Alain L'Hostis
The role of societal resistance in transportation innovation. 8th International Congress on Transportation Research: Transportation by 2030: Trends and perspectives, Sep 2017, THESSALONIKI, France. pp.12P
10.5281/zenodo.1216917
Alain L'Hostis
Les périmètres du Transit Oriented Development : caractérisation de la relation entre ville et transport collectifs. 2016
Alain L'Hostis, Beate Muller, Gereon Meyer, Annette Bruckner, Erzsebet Foldesi, et al.
MOBILITY4EU - D2.1 - Societal needs and requirements for future transportation and mobility as well as opportunities and challenges of current solutions. [Research Report] IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux. 2016, 85p
Alain L'Hostis, Leysens Thomas, Liu Liu
"Potentiel de contact" des villes. FNAU. Abécédaire Systèmes territoriaux régionaux, , 2016
Alain L'Hostis
Misunderstanding geographical distances: two errors and an issue in the interpretation of violations of triangle inequality. Cybergeo : Revue européenne de géographie / European journal of geography, 2016
Alain L'Hostis
Shriveling time-space relief representation of the world at the time of Concorde 1977-2003. Computer graphics. France. 2016
Alain L'Hostis
The first unparametrized image of the shrivelled world. author A L'Hostis 2016. Computer graphics. France. 2016
Monica Coralli, Alain L'Hostis
Le train et la ville : un jeu de distances et de proximités. 2015
Alain L'Hostis, Sébastien Darchen
Characterising Transit Oriented Development in the Paris metropolitan region: what type of TOD are they?. 2015
Liu Liu, Alain L'Hostis
Transport and Land Use Interaction: A French Case of Suburban Development in the Lille Metropolitan Area (LMA). Transportation Research Procedia, 2014, Sustainable Mobility in Metropolitan Regions. mobil.TUM 2014. International Scientific Conference on Mobility and Transport. Conference Proceedings, 4, pp.120 - 139
10.1016/j.trpro.2014.11.011
Alain L'Hostis
Le détour, la pause et l'optimalité, Essai sur la distance et ses apports au transport et à l'urbanisme. Architecture, aménagement de l'espace. Université Paris-Est, 2014
Alain L'Hostis, E Alexandre, M Appert, C Araud-Ruyant, M Basty, et al.
Rapport intermédiaire du projet Bahn.Ville 2 recherche action pour un urbanisme orienté vers le rail dans la région stéphanoise. 2013
Alain L'Hostis
Theoretical models of time-space: the role of transport networks in the shrinking and shrivelling of geographical space. Rozenblat Céline, Mélançon Guy. Multilevel Analysis and visualization of Geographical Networks, Springer, pp.55-66, 2013, Methodos Series, vol. 11
Anne Aguilera, Alain L'Hostis, Neil Paulley
Land-use and transport interactions: Towards a research agenda. European Transport Conference, Sep 2013, Francfort, Germany. pp.x-x
L Halbert, M-N Comin, C Ducruet, Alain L'Hostis, D Peeters, et al.
Analyse comparative des métropoles européennes, rapport final, DATAR. 2013
Alain L'Hostis, Claude Soulas, Gebhard Wulfhorst
La ville orientée vers le rail et l'intermodalité. Gérard Brun. Ville et mobilité, nouveaux regards, Economica, pp.115-126, 2013, Méthodes et Approches, 978-2-7178-6627-8
Alain L'Hostis
Contactability p. 85-90 in Accessibility Instruments for Planning Practice edited by A. Hull, C. Silva, L. Bertolini, COST action Accessibility Instruments. 2013
Alain L'Hostis, E Alexandre, M Appert, C Araud-Ruyant, M Basty, et al.
Concevoir la ville à partir des gares, rapport final du Projet Bahn.Ville 2 sur un urbanisme orienté vers le rail, octobre. 2013
Alain L'Hostis, Thomas Leysens
Les méthodes de mesure et de représentation de l'accessibilité dans les méthodes d'évaluation des projets de transport interurbains et périurbains de voyageurs: méthode, indicateurs, applications et limites de la contactabilité.. 2012
Petter Christiansen, Olav Eidhammer, Jardar Andersen, Alain L'Hostis, G Adamos, et al.
Case studies: results and synthesis projet 7FP CLOSER (Connecting LOng and Short-distance networks for Efficient Transport) Rapport de recherche Deliverable 5.2 project européen CLOSER.. [Research Report] European Commission. 2012
Yves Crozet, Alain L'Hostis, Benjamin Collin, Anne-Laure Jeannez
Transport public et développement urbain durable en France et aux USA; partie relative au cas français. 2012
Alain L'Hostis
Métropoles sans aéroport international ? La contribution de l'intermodalité TGV-aérien au potentiel de contact des villes françaises dans le réseau des métropoles européennes. Colloque : L'intermodalité en questions - Durabilité, accessibilité, mobilité, Jun 2012, Montpellier, France
Ludovic Halbert, Patricia Cicille, Marie-Noëlle Cornin, César Ducruet, Alain L'Hostis, et al.
Analyse comparative des métropoles européennes. 2011, 334 p
Eftihia Nathanail, G
Adamos, Alain L'Hostis, L. Parra, E. Ruiz-Ayucar, et al.. Deliverable D4.1 Analysis of the Decision-Making framework, projet 7FP CLOSER (Connecting LOng and Short-distance networks for Efficient tRansport), july 2011. Deliverable D4.1, 2011
Alain L'Hostis
Le foncier des environs de gare, enjeu d'un développement urbain orienté vers le rail. Etudes foncières, 2011, pp.3
Alain L'Hostis
Le foncier des environs de gare, enjeu d'un développement urbain orienté vers le rail. Etudes foncières, 2011, 3p
Nathanail Eftithia, G Adamos, L Parra, E Ruiz-Ayucar, Alain L'Hostis, et al.
Deliverable D32 Core indicators for the interconnection between short and long-distance transport networks ; projet 7FP CLOSER (Connecting LOng and Short-distance networks for Efficient Transport); September 2011. [Research Report] European Commission. 2011
Alain L'Hostis
Les transports du polycentrisme européen, une analyse par la contactabilité entre métropoles. 11ème colloque du groupe de travail Mobilités Spatiales et Fluidité Sociale (MSFS) de l'Association Internationale des Sociologues de Langue Française (AISLF) : Mobilités spatiales et ressources métropolitaines : l'accessibilité en questions, Mar 2011, Grenoble, France
Alain L'Hostis
Contactability measures for assessing the competitiveness of European cities and networks of cities: the potential for high-speed rail and air to support a polycentric development. European Transport Conference ETC 2011, Oct 2011, Glasgow, United Kingdom
Alain L'Hostis, Thomas Leysens, Johannes Keller
Fostering rail-based accessibility by land management. European Transport Conference ETC 2011, Oct 2011, Glasgow, United Kingdom
Ludovic Halbert, Marie Noëlle Comin, César Ducruet, Alain L'Hostis, D
Peeters, et al.. Analyse comparative des métropoles européennes. 2011, 248 p
B
Vulturescu, Alain L'Hostis, C. Soulas. Simulation des temps de parcours du transport ferroviaire régional du bassin de vie stéphanois dans le cadre du projet Bahn.Ville. RTS - Recherche Transports Sécurité, 2011, 27 (4), pp.283-297
10.1007/s13547-011-0027-z
Alain L'Hostis
El predial en el entorno de una estación ferroviaria Implicación de un desarrollo urbano orientado hacia el riel. Transporte y ciudad, foro de la movilidad, 2011, 3, pp.40-42
Alain L'Hostis, Alexis Conesa
Defining Intermodal Accessibility. in A Banos and Th Thévenin (eds). Geographical Information and Urban Transport System, Geographical Information Series, ISTE/Wiley, pp. 53-81, 2011
Alain L'Hostis, Sandra Bozzani-Franc
Contactability measures for assessing urban competitiveness. 2010
G Wulfhorst, Alain L'Hostis, H Pretsch, S Morkisz, V Stransky, et al.
An urbanism oriented towards rail in Germany and France, three main findings of a research-action program. General Proceedings of the 12th World Conference on Transport Research Society, Jul 2010, Lisbon, Portugal
Sandra Bozzani-Franc, Thomas Leysens, Alain L'Hostis, Claude Soulas, Bogdan Vulturescu
Un Urbanisme orienté vers le rail illustré par le projet Bahn.Ville. Claude Soulas, Martine Wahl. Innovation dans les transports guidés urbains et régionaux, Hermès, p. 253-302, 2010
Alain L'Hostis, Gebhard Wulfhorst, Sabina Morkisz, Hélène Pretsch, Vaclav Stransky, et al.
An Urbanism oriented towards rail in Germany and France: selected findings of the Bahn.Ville project. 2010
Alain L'Hostis, Alexis Conesa
Définir l'accessibilité intermodale. Arnaud Banos, Thomas Thévenin. Systèmes de Transport Urbain, Hermès, pp.24, 2010, IGAT
Moritz Lennert, Gilles van Hamme, Catherine Patris, Maciej Smętkowski, Adam Płoszaj, et al.
FOCI Future Orientation for Cities. 2010
Alain L'Hostis
The shriveled USA: Representing time-space in the context of metropolitanization and the development of high speeds. Journal of Transport Geography, 2009, 17, pp.433-439
10.1016/j.jtrangeo.2009.04.005
Alain L'Hostis, Elsa Alexandre, Manuel Appert, Catherine Araud-Ruyant, Marius Basty, et al.
Concevoir la ville à partir des gares, Rapport final du Projet Bahn.Ville 2 sur un urbanisme orienté vers le rail. 2009
Alain L'Hostis
Mesurer l'accessibilité intermodale pour mieux relier l'organisation des réseaux et l'organisation territoriale dans la région urbaine de Lille. MobilTUM, Apr 2008, München, Allemagne
Alain L'Hostis, S Bozzani-Franc
Air and high-speed rail, territorial impact and opportunities for metropolitan performance. LINK european project final conference, Jun 2008, Köln, Germany
Alain L'Hostis
Graph theory and representation of distances : chronomaps, and other representations. Mathis Ph. Graphs and networks, multilevel modelling,, Lavoisier, pp.177-191, 2007
Reg Harman, Philippe Menerault, Alain L'Hostis
Public transport in cities and regions, Facing an uncertain future?. Ph. Booth, M. Breuillard, C. Fraser, D. Paris. Spatial Planning Systems of Britain and France, A comparative analysis, Routledge, pp.188-205, 2007
Alain L'Hostis, Gebhard Wulfhorst, Benjamin Puccio, Catherine Araud-Ruyant
Urbanisme et transport dans les régions urbaines : enjeux et perspectives d'un urbanisme orienté vers le rail. RTS - Recherche Transports Sécurité, 2007, 94, pp.11-26
10.3166/rts.94.11-26
Alexis Conesa, Alain L'Hostis
Accessibilité horaire des transports collectifs, un outil d'analyse pour la relation entre transport et aménagement du territoire. Journée d’échanges sur l’accessibilité des voyageurs en interurbain : enjeux et méthodes, Réseau des Economistes Transport et Aménagement (RETA), Apr 2007, La Défense, Paris, France
Sabine Avril, Sandra Bozzani-Franc, Alain L'Hostis, Francesca Pico, Jacques Bize, et al.
Strategic Research Agenda for Urban Mobility. 2007
Philippe Menerault, Alain Barré, Alexis Conesa, Alain L'Hostis, Paola Pucci, et al.
Multipolarités urbaines et nouvelles organisations intermodales. 2006, 126p
Philippe Menerault, Alain Barré, Alexis Conesa, Alain L'Hostis, Paola Pucci, et al.
Multipolarités urbaines et nouvellles organisations intermodales. 2006
Alain L'Hostis, Sandra Bozzani
Lille, une métropole sans aéroport international ? Analyse de la performance territoriale du nœud air-fer à grande vitesse de Roissy Charles de Gaulle dans l'accessibilité lilloise. RTS - Recherche Transports Sécurité, 2006, 46, pp.157-170
10.3166/rts.92.155-170
Céline Rozenblat, G
Melançon, D. Auber, C. Discazeaux, Alain L'Hostis, et al.. Worldwide Multi-Level Networks of Cities Emerging From Air Traffic (2000). Rubén C. Lois González. Urban changes in differents scales. Systems and structures, University of Santiago de Compostela, Publications Service, pp.n.c., 2006
Alain L'Hostis, Hervé Baptiste
A Transport network for a City network: Analysing the quality of the public transport service in the Nord-Pas-de-Calais region. European Journal of Spatial Development, 2006, 20, 18 p
Alain L'Hostis, Philippe Menerault, Christophe Decoupigny
Assessing Spatial Planning Policy with Accessibility Indicators: the case of Lille's Metropolis Scenario. Beuthe M., Himanen V., Reggiani A., Zamparini L. Transport Development and Innovation in an Evolving world, Springer, pp.293-312, 2004
Philippe Menerault, Alain L'Hostis
Projets de grande vitesse ferroviaire en Grande-Bretagne : lignes ou réseau ?. Hommes et Terres du Nord, 2003, 3, pp.43-54
Alain L'Hostis
Théorie des graphes et représentations des distances : chronocartes et autres représentations. Philippe Mathis. Graphes et réseaux, modélisation multiniveau, Lavoisier, pp.215-230, 2003, Information Géographique et Aménagement du Territoire
Alain L'Hostis
De l'Espace contracté à l'espace chiffonné : Apports de l'animation à la cartographie en relief des distances-temps modifiées par les réseaux de transport rapides. Revue Internationale de Géomatique, 2003, 13, pp.69-80
Alain L'Hostis, Christophe Decoupigny, Philippe Menerault, Nicolas Morice
Cadencement et intermodalité de l'offre en transport collectif en Nord-Pas-de-Calais, Analyse et propositions d'amélioration. 2001, 121p
Philippe Menerault, Alain L'Hostis
Analyse des relations réseaux/territoires : restructuration de l'offre ferroviaire de l'axe Lille/Valenciennes/Jeumont. 2000, 85p
Alain L'Hostis
Images de synthèse pour l'Aménagement du territoire : la déformation de l'espace par les réseaux de transport rapide. Géographie. Université François Rabelais - Tours, 1997. Français
Alain L'Hostis
Transports et aménagement du territoire : cartographie par images de synthèse d'une métrique réseau. Mappe Monde, 1996, 3, pp.37-43
Alain L'Hostis
The first time-space relief cartography, analog photo of cathodic screen, Europe. Computer graphics. France. 1994
Alain L'Hostis, Philippe Mathis, Nadine Polombo
Les grandes vitesses. Alain Bonnafous; François Plassard; Bénédicte Vulin. Circuler demain, Datar / éditions de l'aube, 1993, 2-87678-126-3

test geoloc

Tijero, E. Domínguez, Fernández, L. Martínez, Herrero Zarzosa, Jorge Javier, Ibañez-Guzmán, J., Stawiarski, E., Xu, Philippe, Avellone, G., Pisoni, F., Falletti, E., ORTIZ, Miguel, 2018, High Accuracy Positioning Engine with an Integrity Layer for Safety Autonomous Vehicles, Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation , MIAMI, ETATS-UNIS, 2018-09-24, Wiley-Blackwell, pp. 1566-1572, DOI: 10.33012/2018.15843

https://www.ion.org/publications/abstract.cfm?articleID=15843

Plus d'infos

ANTIGNY, Nicolas, SERVIERES, Myriam, RENAUDIN, Valérie, 2018, Continuous Pose Estimation for Urban Pedestrian Mobility Applications on Smart-Handheld Devices, 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, FRANCE, 2018-09-24, IEEE, 8 p, DOI: 10.1109/IPIN.2018.8533680

https://ieeexplore.ieee.org/abstract/document/8533680/citations#citations

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TAIA ALAOUI, Fadoua, 2018, Navigation des personnes aux moyens des technologiesdes smartphones et des données d'environnements cartographiés, Thèse de doctorat de l'école centrale de Nantes, Spécialité: Signal, Image, Vision, Université Bretagne-Loire, 153 p

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ORTIZ, Miguel, PERUL, Johan, TORRES-SOSPEDRA, Joaqim, RENAUDIN, Valérie, 2018, Datasets and Supporting Materials for the IPIN 2018 Competition Track 4, IPIN 2018, 9th International conference on Indoor Positioning and Indoor Navigation, Nantes, FRANCE, 2018-09-24, DOI: 10.5281/zenodo.3228012

https://zenodo.org/record/3228012#.XPUsb4_fPmE

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ANTIGNY, Nicolas, SERVIERES, Myriam, RENAUDIN, Valérie, 2018, Continuous Pose Estimation for Urban Pedestrian Applications on Hand-held Mobile Device, IPIN' 18, International Conference on Indoor Positioning and Indoor Navigation, Nantes, France, 2018-09-24, Institute of Electrical and Electronics Engineers - IEEE

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ABID, Mahdi, RENAUDIN, Valérie, ROBERT, Thomas, AOUSTIN, Yannick, LE CARPENTIER, Eric, 2018, A Simulation-based Approach to Generate Walking Gait Accelerations for Pedestrian Navigation Solutions, IPIN'18, International Conference on Indoor Positioning and Indoor Navigation, Nantes, France, 2018-09-24, Institute of Electrical and Electronics Engineers - IEEE, 8 p.

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PERUL, Johan, RENAUDIN, Valérie, 2018, Building individual inertial signals models to estimate PDR walking direction with smartphone sensors, IPIN'18, International Conference on Indoor Positioning and Indoor Navigation, NANTES, FRANCE, 2018-09-24, September, Institute of Electrical and Electronics Engineers - IEEE, p. 24-27

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ZHU, Ni, 2018, Modélisation du canal de propagation GNSS en milieu contraint: Contribution à l'amélioration de la qualité de service de géolocalisation , Thèse de Doctorat, Discipline Sciences de l'information et de la communication, Université de Lille, 220p

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ABIB, Mahdi, 2018, Walking gait features extraction and characterization using wearable devices, Thèse de doctorat de l'Ecole Centrale de Nantes, spécialité : Automatique, productique, robotique, L'ÉCOLE CENTRALE DE NANTES, Ecole Centrale de Nantes, 168

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ANTIGNY, Nicolas, 2018, Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains, Thèse de doctorat. Spécialité : Signal, Image, Vision, Université Loire Bretagne, 114 p

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RENAUDIN, Valérie, 2018, Integrating human dimension in the development of pedestrian navigation, ITSNT 2018, International Technical Symposium on Navigation and Timing, TOULOUSE, FRANCE, 2018-11-13, 34p

http://www.itsnt.fr/

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RENAUDIN, Valérie, KHAMITOVA, Aigul, ORTIZ, Miguel, 2018, IPIN 2018 - Ninth International Conference On Indoor Positioning And Indoor Navigation, IPIN 2018, Nantes, France, 2018-09-24, IFSTTAR, 183 p.

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MANZINI, Nicolas, ORCESI, André, THOM, Christian, CLEMENT, Antoine, BOTTON, Serge, ORTIZ, Miguel, DUMOULIN, John, 2018, Structural Health Monitoring using a GPS sensor network, EWSHM'18, 9th European Workshop on Structural Health Monitoring Series, MANCHESTER, ROYAUME-UNI, 2018-07-10, British Institute of Non Destructive Testing, 12 p.

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MANZINI, Nicolas, ORCESI, André, THOM, Christian, BOTTON, Serge, CLEMENT, Antoine, ORTIZ, Miguel, DUMOULIN, John, 2018, Use of low-cost GNSS receivers for Structural Health Monitoring, 40th IABSE Symposium : Tomorrow's Megastructures, NANTES, FRANCE, 2018-09-19, International Association for Bridge and Structural Engineering - IABSE, 8 p.

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RENAUDIN, Valérie, 2018, Human dimensions of navigation, The Israel Navigation Workshop and Exhibition INWE18, Hertzliya, ISRAEL, 2018-01-29

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RENAUDIN, Valérie, 2018, Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons, Forum de l'Association Française de Topographie , Anglet, FRANCE, 2018-03-29

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RENAUDIN, Valérie, MOREAU, Nicolas, BILLEY, Antoine, LAMBLIN, Alexandre, VOS, Jasper, PERUL, Johan, ORTIZ, Miguel, 2018, Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons, XYZ, 155, Association Française de Topographie - AFT, pp. 17-21

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ANTIGNY, Nicolas, SERVIERES, Myriam, RENAUDIN, Valérie, 2018, Fusion of 3D GIS, Vision, Inertial and Magnetic Data for Improved Urban Pedestrian Navigation and Augmented Reality Applications, Navigation, WILEY, DOI: 10.1002/navi.254

http://doi.wiley.com/10.1002/navi.254

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PEYRET, François, GILLIERON, Pierre Yves, EUROPEAN COOPERATION IN THE FIELD OF SCIENTIFIC AND TECHNICAL RESEARCH - COST, 2018, SaPPART Guidelines: Performance assessment of positioning terminals, Techniques et méthodes, TMI 3, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - IFSTTAR, 45p

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DOMINGUEZ TIJERO, Enrique, CHAMORRO MORENO, A, FERNANDEZ CALZON, Maria-theresa, GARCIA, J, IBANEZ GUZMAN, J, XU, Philippe, AVELLONE, GIUSEPPE, PISONI, Fabio, FALLETTI, Emmanuela, ORTIZ, Miguel, 2019, Autonomous vehicle high-accuracy position and integrity engine performance results , 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), MIAMI, ETATS-UNIS, 2019-09-16, Institute of Navigation, 9 p, DOI: 10.33012/2019.16872

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PERUL, Johan, RENAUDIN, Valérie, 2019, Fusion of Attitude and Statistical Walking Direction Estimations with Time-Difference Carrier Phase Velocity Update for Pedestrian Dead Reckoning Method, ION GNSS+'19, 32nd International Technical Meeting of the Satellite Division of The Institute Of Navigation, MIAMI, ETATS-UNIS, 2019-09-16, WILEY, p. 367-377, DOI: 10.33012/2019.17035

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ZHU, Ni, ORTIZ, Miguel, RENAUDIN, Valérie, 2019, Seamless Indoor-Outdoor Infrastructure-free Navigation for Pedestrians and Vehicles with GNSS-aided Foot-mounted IMU, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), PISE, ITALIE, 2019-09-30, Institute of Electrical and Electronics Engineers - IEEE, 8 p.

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GRENIER, Antoine, RENAUDIN, Valérie, 2019, Efficient Use of SSR RTCM Streams For Real-Time Precise Point Positioning on Smartphones, WPNC19, 16th Workshop on Positioning, Navigation and Communications, BREME, ALLEMAGNE, 2019-10-23, Institute of Electrical and Electronics Engineers - IEEE, 28 p.

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GRENIER, Antoine, RENAUDIN, Valerie, 2019, Efficient Use of SSR RTCM Streams For Real-Time Precise Point Positioning on Smartphones Main objective Investigate precise positioning , in real-time , on Android Device using RTCM streams for low computation costs, WPNC'19, 16th Workshop on Positioning, Navigation and Communications, BREME, ALLEMAGNE, 2019-10-23, Institute of Electrical and Electronics Engineers - IEEE, p. 1-18

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RENAUDIN, Valérie, ORTIZ, Miguel, PERUL, Johan, TORRES-SOSPEDRA, Joaquín, RAMON JIMENEZ, Antonio, PEREZ-NAVARRO, Antoni, MENDOZA-SILVA, German Martin, SECO, Fernando, LANDAU, Yaël, MARBEL, Retival, BEN-MOSHE, Boaz, ZHENG, Xingyu, YE, Feng, KUANG, Jian, LI, Yu, NIU, Xiaoji, LANDA, Vlad, HACOHEN, Shlomi, SHVALD, Nir, LU, Shuanhua, UCHIYAMA, Ideaki, THOMAS, Diego, SHIMADA, Atsushi, TANIGUCHI, Rin-Ichiro, KRONENWETT, Nikolai, VLADIMIROV, Blagovest, LEE, Soyeon, CHO, Eunyoung, JUN, Sungwoo, LE, Changeun, -, -, 2019, Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition, IEEE ACCESS, 7, Institute of Electrical and Electronics Engineers - IEEE, 148594 - 148628, DOI: 10.1109/ACCESS.2019.2944389

https://ieeexplore.ieee.org/document/8852722/keywords#keywords

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ANTIGNY, Nicolas, UCHIYAMA, Hideaki, SERVIERES, Myriam, RENAUDIN, Valérie, THOMAS, Diego, TANIGUCHI, Rin-ichiro, 2019, Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices, sensors, 19, Multidisciplinary Digital Publishing Institute - MDPI, 1-18, DOI: 10.3390/s19040953

https://www.mdpi.com/1424-8220/19/4/953

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PERUL, Johan, RENAUDIN, Valérie, 2019, Learning individual models to estimate the walking direction of mobile phone users, IEEE Sensors Journal, 10 p, IEEE, DOI: 10.1109/JSEN.2019.2940138

https://ieeexplore.ieee.org/document/8827533

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RENAUDIN, Valérie, ORTIZ, Miguel, 2019, véhicules autonomes, 59e congrès annuel du club EEA , RENNES, FRANCE, 2019-06-12

https://clubeea2019.sciencesconf.org/

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RENAUDIN, Valérie, 2019, Indoor positioning: towards an infinite number of technologies?, 10th Chinese Satellite Navigation Conference, BEIJING, CHINE, 2019-05-22, 20p

https://www.beidou.org/

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PERUL, Johan, 2020, Localisation autonome par apprentissage des dynamiques de déplacement en transport multimodal, Thèse de doctorat, Mathématiques et Sciences et Technologies de l'Information et de la Communication. Spécialité : Automatique, Productique, Robotique, Ecole centrale de Nantes, 156p

https://www.ec-nantes.fr/centrale-nantes/actualites/soutenance-de-these-de-johan-perul-ed-mathstic

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ZHU, Ni, ORTIZ, Miguel, RENAUDIN, Valérie, ICHARD, Cécile, RICOU, Sander, 2020, Dataset of the intermediate competition in Challenge MALIN: Indoor-outdoor inertial navigation system data for pedestrian and vehicle with high accuracy references in a context of firefighter scenario, Data in Brief, 34, Elsevier, 14p, DOI: 10.1016/j.dib.2020.106626

https://www.sciencedirect.com/science/article/pii/S2352340920315067

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AL ABIAD, Naïma, RENAUDIN, Valérie, ROBERT, Thomas, 2020, Assessing gait variability from cellphone IMU placed in several locations: a feasibility study, Computer Methods in Biomechanics and Biomedical Engineering, 23, S1, TAYLOR AND FRANCIS, s1-s3, DOI: 10.1080/10255842.2020.1811490

https://www.tandfonline.com/doi/full/10.1080/10255842.2020.1811490

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ORTIZ, Miguel, BENMEZIANE , Karim, 2020, CEN standards in GNSS for Road/Automotive. Benefits of using EN16803 series for the automotive sector, UCP, 3rd edition of the User Consultation Platform, Virtuel, 2020-12-01, 15p

https://www.gsa.europa.eu/user-consultation-platform-2020-ucp

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MANZINI, Nicolas, ORCESI, André, THOM, Christian, BROSSAULT, Marc-Antoine, BOTTON, Serge, ORTIZ, Miguel, DUMOULIN, John, 2020, Performance analysis of low-cost GNSS stations for structural health monitoring of civil engineering structures, Structure and Infrastructure Engineering, Taylor & Francis Ltd, 61 p., DOI: 10.1080/15732479.2020.1849320

https://hal.archives-ouvertes.fr/hal-03032752
https://doi.org/10.1080/15732479.2020.1849320

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RENAUDIN, Valérie, ORTIZ, Miguel, RAGOIN, Céline, 2020, Positionnement GNSS précis sur smartphone : une réalité proche ?, Groupede Travail GNSS et Positionnementde la CNIG, Bouguenais, FRANCE, 2020-10-16, 13p

http://cnig.gouv.fr/?page_id=12592

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POTORTÌ, FRANCESCO, PARK, SANGJOON, CRIVELLO, ANTONINO, PALUMBO, FILIPPO, GIROLAMI, MICHELE, BARSOCCHI, PAOLO, LEE, SOYEON, TORRES-SOSPEDRA, JOAQUÍN, JIMENEZ, ANTONIO RAMÓN, PÉREZ-NAVARRO, ANTONI, MENDOZA-SILVA, GERMÁN M., SECO, FERNANDO, ORTIZ, Miguel, PERUL, JOHAN, RENAUDIN, Valérie, KANG, HYUNWOONG, PARK, SOYOUNG, LEE, JAE-HONG, PARK, CHAN GOOK, HA, JISU, HAN, JAESEUNG, PARK, CHANGJUN, KIM, KEUNHYE, LEE, YONGHYUN, GYE, SEUNGHUN, LEE, KEUMRYEOL, KIM, EUNJEE, CHOI, JEONGSIK, CHOI, YANG-SEOK, TALWAR, SHILPA, CHO, SEONG YUN, BEN-MOSHE, BOAZ, SCHERBAKOV, ALEX, ANTSFELD, LEONID, SANSANO-SANSANO, EMILIO, CHIDLOVSKII, BORIS, KRONENWETT, NIKOLAI, PROPHET, SILVIA, LANDAU, YAEL, MARBEL, REVITAL, ZHENG, Lingxiang, PENG, Ao, LIN, Zhichao, WU, Bang, MA, Chengqoi, POSLAD, Stefan, SELVIAH, David, WU, Wei, MA, Zixiang, ZHANG, Wenchao, 2020, The IPIN 2019 Indoor Localisation Competition - Description and Results, IEEE Access, Institute of Electrical and Electronics Engineers Inc., 46p, DOI: 10.1109/ACCESS.2020.3037221

10/11/2020

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PERUL, Johan, RENAUDIN, Valérie, 2020, HEAD: smootH Estimation of wAlking Direction with a hand-held device embedding inertial, GNSS and magnetometer sensors, Navigation, Journal of the Institute of Navigation, WILEY, 17p, DOI: 10.1002/navi.389

https://onlinelibrary.wiley.com/doi/pdf/10.1002/navi.389

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PONTE MULLER, Fabian, MUNOZ DIAZ, Estefania, PERUL, Johan, RENAUDIN, Valérie, 2020, Urban vulnerable road user localization using gnss, inertial sensors and ultra-wideband ranging, IEEE-IV'2020, IEEE Intelligent Vehicles Symposium, LAS VEGAS, ETATS-UNIS, 2020-10-20, Institute of Electrical and Electronics Engineers - IEEE, 7p

https://elib.dlr.de/134960/

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ZHU, Ni, BETAILLE, David, MARAIS, Juliette, BERBINEAU, Marion, 2020, GNSS Integrity Monitoring Schemes for Terrestrial Applications in Harsh Signal Environments, IEEE Intelligent Transportation Systems Magazine , Institute of Electrical and Electronics Engineers - IEEE, 11p, DOI: 10.1109/MITS.2020.2994076

https://ieeexplore.ieee.org/document/9113715

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KONE, Yacouba, ZHU, Ni, RENAUDIN, Valérie, ORTIZ, Miguel, 2020, Machine Learning-Based Zero-Velocity Detection for Inertial Pedestrian Navigation, IEEE Sensors Journal, Institute of Electrical and Electronics Engineers - IEEE, 11p, DOI: 10.1109/JSEN.2020.2999863

https://ieeexplore.ieee.org/document/9107252

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RUOTSALAINEN, Laura, RENAUDIN, Valérie, PEI, Ling, PIRAS, Marco, MARAIS, Juliette, CAVALHERI, Emerson, KAASALAINEN, Sanna, 2020, Toward Autonomous Driving in Arctic Areas, IEEE Intelligent Transportation Systems Magazine, IEEE, 15 p., DOI: 10.1109/MITS.2020.2994014

https://ieeexplore.ieee.org/document/9115644
https://hal.archives-ouvertes.fr/hal-02877232

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RAGOIN, Céline, RENAUDIN, Valérie, ORTIZ, Miguel, 2020, Precise positioning on smartphones: which implementation strategy to adopt?, GNSS'20, 4th Global Navigation Satellite Systems Raw Measurements Taskforce Workshop, PRAGUE, TCHÈQUE, RÉPUBLIQUE, 2020-05-27, 12p.

https://www.gsa.europa.eu/sites/default/files/expo/3.5_celine_ragoin_miguel_ortiz_-_uni_gustave_eiffel.pdf

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DULERY, Christelle, ORTIZ, Miguel, LEBLAN, Xavier, 2020, EN 16803/ Référentiel Européen de géolocalisation pour certifier les solutions de Mobilité, RDMI'20, 47ème Congrès ATEC ITS France, les Rencontres De la Mobilité Intelligente, Montrouge, FRANCE, 2020-01-22, 9p

https://guide-gnss.com/wp-content/uploads/2020/01/ATEC-ITS-Metrologie-GNSS-Referentiel-Europeen-de-geolocalisation-pour-certifier-les-solutions-de-Mobilite.pdf

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HAL : Dernières publications

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    Images captured by cameras have become ubiquitous. Being able to reconstruct 3D scenes only using these images would be a highly desirable capability. However, this is very challenging, as images are 2D snapshots of the world, therefore generating ambiguities when lifting them from 2D back to 3D. In this thesis, we focus on two methods for 3D scene reconstruction: single-image depth estimation, and primitive decomposition.Single-image depth estimation (SIDE) refers to the ability to reconstruct the visible 3D surface of a scene given only a single image as input. This is an ill-posed problem, since many 3D scenes can explain the observed image. In order to solve this problem, modern works rely on data-driven methods and are mainly deep-learning based. These methods therefore use large training datasets of RGB-D pairs, i.e. aligned color and depth images, along with deep neural networks, in order to learn a good prior to predict depth from a single image.Primitive decompositions can be used to represent a scene as an arrangement of elementary shapes. In the 1960s, Lawrence G. Roberts proposed to represent the 3D world as an arrangement of cuboids. This representation is particularly useful for its simplicity and compactness, which downstream applications such as robotics could leverage.The first contribution of this thesis introduces a solution to a notorious problem in single-image depth estimation; most methods suffer from smooth edges around occlusion boundaries, while they are supposed to be sharp. Our method, called SharpNet, introduces geometric constraints with synthetic data during training in order to predict sharp depth maps, guided by occlusion boundaries and surface normals.Our second contribution extends our pursuit of sharper depth edges in SIDE. Neural networks are notoriously biased towards low frequencies, implying that sharp edges, which correspond to high frequency details, will often be overlooked by deep-learning based methods. In this work we introduce a new depth refinement method that sharpens predicted depth maps, and that is able to estimate crisp high frequency details. This method predicts displacement fields, which are used to sharpen depth edges by moving pixels in 2D space. When put on top of baseline single-image depth estimation methods, our method consistently improves the sharpness of depth maps without sacrificing their accuracy.Our third contribution also aims to improve existing SIDE methods with a simple extension. Most of these previous work rely on U-shaped Encoder-Decoder architectures, often referred to as UNets. While our two first contributions focus on accuracy along occlusion boundaries, this third contribution focuses on efficiency. These occlusion boundaries are indeed usually sparse in natural scenes, which creates an imbalance that results in smooth predicted depth edges. In WaveletMonoDepth, we instead take advantage of this sparsity. Because depth edges are sparse, we can compute convolutions only in places with large depth variations i.e. occlusion boundaries. Using wavelet decomposition as an intermediate representation for depth maps, we obtain large gains in efficiency while suffering only a minimal loss in accuracy.Our final contribution explores primitive decompositions as a representation for 3D scenes. RGB-D cameras can be used to scan scenes and store them as 3D point clouds. However, this process is often noisy, and 3D point clouds are expensive to store. With MonteBoxFinder, we propose to represent noisy 3D point clouds with 3D cuboids, by first detecting many 3D cuboids candidates, then finding an arrangement that best fits the scene. This search problem is highly combinatorial, and an exhaustive search is often prohibitive. MonteBoxFinder therefore draws inspiration from Monte Carlo Tree Search methods, in order to efficiently find a good set of cuboids. These cuboids can then be used as ground truth to train single-image cuboid decomposition method.

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    Cette brochure recense l’ensemble des exercices des épreuves du brevet ayant trait au thème « Algorithmique et programmation » du programme de mathématiques de cycle 4, de 2017 à 2022. Pour chaque exercice, sont identifiés les thèmes mathématiques et informatiques abordés ainsi que les compétences informatiques mises en jeu. En début de brochure figurent les grilles d’analyse par année, et en fin de brochure des index par thèmes mathématiques, thèmes informatiques et compétences informatiques. Tous les sujets contenant des programmes en Scratch ont été traduits au format Scratch 3 pour faciliter leur usage en classe. Les programmes correspondants sont disponibles sur le studio Scratch de la C3i. Vous êtes libres de les remixer pour les utiliser en classe.

  • [hal-03360830] A Tabu Search Heuristic for the Robust Dynamic Bayesian Network Optimisation Problem Under the Supply Chain Ripple Effect

    Due to the impact of the global COVID-19, supply chain (SC) risk management under the ripple effect is becoming an increasingly hot topic in both practice and research. In our former research, a robust dynamic bayesian network (DBN) approach has been developed for disruption risk assessment, whereas there still exists a gap between the proposed simulated annealing (SA) algorithm and commercial solver in terms of solution quality. To improve the computational efficiency for solving the robust DBN optimisation model, a tabu search heuristic is proposed for the first time in this paper. We design a novel problem-specific neighborhood move to keep the search in feasible solution space. The computational experiments, conducted on randomly generated instances, indicate that the average gap between our approach and commercial solver is within 0.07 %, which validates the performance of the proposed method.

  • [hal-02304028] Unshuffling Permutations

    Given permutations π, σ1 and σ2 , the permutation π (viewed as a string) is said to be a shuffle of σ1 and σ2 , in symbols π ∈ σ1 σ2 , if π can be formed by interleaving the letters of two strings p1 and p2 that are order-isomorphic to σ1 and σ2 , respectively. Given a permutation π ∈ S2n and a bijective mapping f : Sn → Sn , the f -Unshuffle-Permutation problem is to decide whether there exists a permutation σ ∈ Sn such that π ∈ σ f (σ). We consider here this problem for the following bijective mappings: inversion, reverse, complementation, and all their possible compositions. In particular, we present combinatorial results about the permutations accepted by this problem. As main results, we obtain that this problem is NP-complete when f is the reverse, the complementation, or the composition of the reverse with the complementation.

  • [hal-03793283] RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

    Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid development, with the emergence of many method variations but only few principled guidelines that would help practitioners to successfully deploy them. The main reason for that pitfall comes from JE-SSL's core principle of not employing any input reconstruction therefore lacking visual cues of unsuccessful training. Adding non informative loss values to that, it becomes difficult to deploy SSL on a new dataset for which no labels can help to judge the quality of the learned representation. In this study, we develop a simple unsupervised criterion that is indicative of the quality of the learned JE-SSL representations: their effective rank. Albeit simple and computationally friendly, this method ---coined RankMe--- allows one to assess the performance of JE-SSL representations, even on different downstream datasets, without requiring any labels. A further benefit of RankMe is that it does not have any training or hyper-parameters to tune. Through thorough empirical experiments involving hundreds of training episodes, we demonstrate how RankMe can be used for hyperparameter selection with nearly no reduction in final performance compared to the current selection method that involve a dataset's labels. We hope that RankMe will facilitate the deployment of JE-SSL towards domains that do not have the opportunity to rely on labels for representations' quality assessment.

  • [hal-03984775] Self-supervised learning of Split Invariant Equivariant representations

    Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on large scale datasets, equivariant ones are evaluated in smaller, more controlled, settings. We aim at bridging the gap between the two in order to learn more diverse representations that are suitable for a wide range of tasks. We start by introducing a dataset called 3DIEBench, consisting of renderings from 3D models over 55 classes and more than 2.5 million images where we have full control on the transformations applied to the objects. We further introduce a predictor architecture based on hypernetworks to learn equivariant representations with no possible collapse to invariance. We introduce SIE (Split Invariant-Equivariant) which combines the hypernetwork-based predictor with representations split in two parts, one invariant, the other equivariant, to learn richer representations. We demonstrate significant performance gains over existing methods on equivariance related tasks from both a qualitative and quantitative point of view. We further analyze our introduced predictor and show how it steers the learned latent space. We hope that both our introduced dataset and approach will enable learning richer representations without supervision in more complex scenarios.

  • [hal-03983501] Recognizability in S-adic shifts

    We investigate questions related to the notion of recognizability of sequences of morphisms, a generalization of Mossé's Theorem. We consider the most general class of morphisms including ones with erasable letters. The main result states that a sequence of morphisms with bounded alphabet size is eventually recognizable for aperiodic points, improving and simplifying a result of Berthé et al. (2019). This also provides a new simple proof for the recognizability of a single morphism on its shift space. The main ingredient of the proof are elementary morphisms.

  • [hal-03981735] Scaling Up Sign Spotting Through Sign Language Dictionaries

    Abstract The focus of this work is sign spotting –given a video of an isolated sign, our task is to identify whether and where it has been signed in a continuous, co-articulated sign language video. To achieve this sign spotting task, we train a model using multiple types of available supervision by: (1) watching existing footage which is sparsely labelled using mouthing cues; (2) reading associated subtitles (readily available translations of the signed content) which provide additional weak-supervision ; (3) looking up words (for which no co-articulated labelled examples are available) in visual sign language dictionaries to enable novel sign spotting. These three tasks are integrated into a unified learning framework using the principles of Noise Contrastive Estimation and Multiple Instance Learning. We validate the effectiveness of our approach on low-shot sign spotting benchmarks. In addition, we contribute a machine-readable British Sign Language (BSL) dictionary dataset of isolated signs, BslDict , to facilitate study of this task. The dataset, models and code are available at our project page.

  • [hal-03981734] Weakly-supervised Fingerspelling Recognition in British Sign Language Videos

    The goal of this work is to detect and recognize sequences of letters signed using fingerspelling in British Sign Language (BSL). Previous fingerspelling recognition methods have not focused on BSL, which has a very different signing alphabet (e.g., two-handed instead of one-handed) to American Sign Language (ASL). They also use manual annotations for training. In contrast to previous methods, our method only uses weak annotations from subtitles for training. We localize potential instances of fingerspelling using a simple feature similarity method, then automatically annotate these instances by querying subtitle words and searching for corresponding mouthing cues from the signer. We propose a Transformer architecture adapted to this task, with a multiple-hypothesis CTC loss function to learn from alternative annotation possibilities. We employ a multi-stage training approach, where we make use of an initial version of our trained model to extend and enhance our training data before re-training again to achieve better performance. Through extensive evaluations, we verify our method for automatic annotation and our model architecture. Moreover, we provide a human expert annotated test set of 5K video clips for evaluating BSL fingerspelling recognition methods to support sign language research.

  • [hal-03981733] Automatic Dense Annotation of Large-Vocabulary Sign Language Videos

    Recently, sign language researchers have turned to sign language interpreted TV broadcasts, comprising (i) a video of continuous signing and (ii) subtitles corresponding to the audio content, as a readily available and large-scale source of training data. One key challenge in the usability of such data is the lack of sign annotations. Previous work exploiting such weakly-aligned data only found sparse correspondences between keywords in the subtitle and individual signs. In this work, we propose a simple, scalable framework to vastly increase the density of automatic annotations. Our contributions are the following: (1) we significantly improve previous annotation methods by making use of synonyms and subtitle-signing alignment; (2) we show the value of pseudo-labelling from a sign recognition model as a way of sign spotting; (3) we propose a novel approach for increasing our annotations of known and unknown classes based on in-domain exemplars; (4) on the BOBSL BSL sign language corpus, we increase the number of confident automatic annotations from 670K to 5M. We make these annotations publicly available to support the sign language research community.

  • [hal-03981732] Sign Language Video Retrieval with Free-Form Textual Queries

    Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology. However, the problem of searching videos beyond individual keywords has received limited attention in the literature. To address this gap, in this work we introduce the task of sign language retrieval with free-form textual queries: given a written query (e.g., a sentence) and a large collection of sign language videos, the objective is to find the signing video in the collection that best matches the written query. We propose to tackle this task by learning cross-modal embeddings on the recently introduced large-scale How2Sign dataset of American Sign Language (ASL). We identify that a key bottleneck in the performance of the system is the quality of the sign video embedding which suffers from a scarcity of labeled training data. We, therefore, propose SPOT-ALIGN, a framework for interleaving iterative rounds of sign spotting and feature alignment to expand the scope and scale of available training data. We validate the effectiveness of SPOT-ALIGN for learning a robust sign video embedding through improvements in both sign recognition and the proposed video retrieval task.

  • [hal-03974565] A Fast and Accurate Method for Glaucoma Screening from Smartphone-Captured Fundus Images

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  • [hal-03473699] Global convergence of ResNets: From finite to infinite width using linear parameterization

    Overparametrization is a key factor in the absence of convexity to explain global convergence of gradient descent (GD) for neural networks. Beside the well studied lazy regime, infinite width (mean field) analysis has been developed for shallow networks, using on convex optimization technics. To bridge the gap between the lazy and mean field regimes, we study Residual Networks (ResNets) in which the residual block has linear parametrization while still being nonlinear. Such ResNets admit both infinite depth and width limits, encoding residual blocks in a Reproducing Kernel Hilbert Space (RKHS). In this limit, we prove a local Polyak-Lojasiewicz inequality. Thus, every critical point is a global minimizer and a local convergence result of GD holds, retrieving the lazy regime. In contrast with other mean-field studies, it applies to both parametric and non-parametric cases under an expressivity condition on the residuals. Our analysis leads to a practical and quantified recipe: starting from a universal RKHS, Random Fourier Features are applied to obtain a finite dimensional parameterization satisfying with high-probability our expressivity condition.

  • [tel-03964423] Computer vision methods for 3d concrete printing process monitoring

    Construction based on 3D concrete printing has become an attractive technology, infusing digital technology to the sector. Towards this digitalization, we propose methods based on computer vision for the monitoring of constructions built using contour crafting (a 3D concrete printing method). Our methods can be divided into two types: damage and quality monitoring.For damage monitoring, we work on crack segmentation. Given that cracks are difficult to annotate accurately, an accurate segmentation is difficult using supervised machine learning. With a method inspired by weakly supervised classification, we improved the accuracy of the predicted cracks' width in synthetic data: the precision increases up to 26% with respect to training with raw inaccurate annotations; this method applies to real data straightforwardly. With a method based on transfer learning, we show that models trained solely on our synthetic images are able to segment cracks in real images. In both cases, the predicted crack width accuracy improves when measured with unsupervised metrics.For quality monitoring, we work on inline anomaly detection in 3D printed pieces. First, we segment the interlayer lines in images acquired during printing (F-score = 91%). We analyze these lines by measuring geometrical properties at pixel level; we define as anomalies the regions with values outside the ranges of user-admissible values. We also classify the located layers based on their texture: either as good or as one of 3 defective cases (macro-averaged F-score = 94%).

  • [hal-03951192] RTNS 2022: The 30th International Conference on Real-Time Networks and Systems

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  • [hal-03958182] Low Complexity Adaptive Machine Learning Approaches for End-to-End Latency Prediction

    Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) for specific applications by routing packets with awareness on content nature (VoIP, video, files, etc.) and its needs (latency, bandwidth, etc.) to use efficiently resources of a network. Monitoring and predicting various Key Performance Indicators (KPIs) at any level may handle such problems while preserving network bandwidth. The question addressed in this work is the design of efficient, low-cost adaptive algorithms for KPI estimation, monitoring and prediction. We focus on end-to-end latency prediction, for which we illustrate our approaches and results on data obtained from a public generator provided after the recent international challenge on GNN [12]. In this paper, we improve our previously proposed low-cost estimators [6] by adding the adaptive dimension, and show that the performances are minimally modified while gaining the ability to track varying networks.

  • [hal-03957811] Low Complexity Approaches for End-to-End Latency Prediction

    Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) for specific applications by routing packets with awareness on content nature (VoIP, video, files, etc.) and its needs (latency, bandwidth, etc.) to use efficiently resources of a network. Predicting various Key Performance Indicators (KPIs) at any level may handle such problems while preserving network bandwidth. The question addressed in this work is the design of efficient and low-cost algorithms for KPI prediction, implementable at the local level. We focus on end-to-end latency prediction, for which we illustrate our approaches and results on a public dataset from the recent international challenge on GNN [1]. We propose several low complexity, locally implementable approaches, achieving significantly lower wall time both for training and inference, with marginally worse prediction accuracy compared to state-of-the-art global GNN solutions.

  • [hal-03958465] Sorting Genomes by Prefix Double-Cut-and-Joins

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  • [hal-03957224] Deep learning: basics and convolutional neural networks (CNN)

    Deep learning belongs to the broader family of machine learning methods and currently provides state-of-the-art performance in a variety of fields, including medical applications. Deep learning architectures can be categorized into different groups depending on their components. However, most of them share similar modules and mathematical formulations. In this chapter, the basic concepts of deep learning will be presented to provide a better understanding of these powerful and broadly used algorithms. The analysis is structured around the main components of deep learning architectures, focusing on convolutional neural networks and autoencoders.

  • [tel-03957192] Bayesian inference for image deblurring at a large scale

    Image deblurring is an essential image restoration problem arising in several fields from astronomy to medical science. It amounts to restoring an image from a degraded, blurry and noisy, version of it. Bayesian image deblurring seeks for the posterior distribution of the image (and blur kernel, when unknown) given an observation model and some prior knowledge on the unknowns. Closed form for the posterior distribution can rarely be computed analytically, so Bayesian approximation tools are deployed to derive an estimation of it. This thesis brings novel contributions in that topic, by introducing novel Bayesian methods for tackling two important scenarios of image deblurring problems. First, we are interested in the so-called blur identification problem, of estimating spatially varying blur kernels given a clean image and its degraded version. We construct a probabilistic state-space model accounting for the smoothness among the neighboring blur kernels, and propose a novel algorithm based on bootstrap PF (BPF) to sample weighted particles, and thus construct the sought posterior distribution. Numerical experiments on various spatially-variant blur maps and images illustrate the benefits and good stability of our approach. Second, we focus on the blind image deblurring problem of jointly estimating the image and blur kernel given the blurry noisy image. We adopt the variational Bayesian approach, to build an appropriate approximation of the posterior distribution. We introduce majorization steps to maintain closed form updates even for non conjugate priors and non-Gaussian noise. This yields the variational Bayesian algorithm (VBA). We then propose to unfold VBA over neural network layers, following the recently introduced deep unrolling paradigm. This yields the unfolded VBA, benefiting from reduced parameter tuning, fast computations on GPU architecture, and improved quantitative restoration results. The superiority of unfolded VBA over state-of-the-art blind deblurring techniques is illustrated on three datasets involving color/grayscale natural images and various blur shapes

  • [tel-03953709] Deep Learning based 3D reconstruction : supervision and representation

    3D reconstruction is a long standing problem in computer vision. Yet, state-of-the-art methods still struggle when the images used have large illumination changes, many occlusions or limited textures. Deep Learning holds promises of improving 3D reconstruction in such setups, but classical methods still produce the best results. In this thesis we analyse the specificity of deep learning applied to multiview 3D reconstruction and introduce new deep learning based methods.The first contribution of this thesis is an analysis of the possible supervision for training Deep Learning models for sparse image matching. We introduce a two-step algorithm that first computes low resolution matches using deep learning and then matches classical local features inside the matches regions. We analyze several levels of supervision and show that our new epipolar supervision leads to the best results.The second contribution is also a study of supervision for Deep Learning but applied to another scenario: calibrated 3D reconstruction in the wild. We show that existing unsupervised methods do not work on such data and we introduce a new training technique that solves this issue. We then exhaustively compare unsupervised approach and supervised approaches with different network architectures and training data.Finally, our third contribution is about data representation. Neural implicit representation were recently used for image rendering. We adapt this representation to the multiview reconstruction problem and we introduce a new method that, similar to classical 3D reconstruction techniques, optimizes photo-consistency between projections of multiple images. Our approach outperforms state-of-the-art by a large margin.

  • [hal-03475455] Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation

    Over the past few years, numerous computational models have been developed to solve Optimal Transport (OT) in a stochastic setting, where distributions are represented by samples and where the goal is to find the closest map to the ground truth OT map, unknown in practical settings. So far, no quantitative criterion has yet been put forward to tune the parameters of these models and select maps that best approximate the ground truth. To perform this task, we propose to leverage the Brenier formulation of OT. Theoretically, we show that this formulation guarantees that, up to sharp a distortion parameter depending on the smoothness/strong convexity and a statistical deviation term, the selected map achieves the lowest quadratic error to the ground truth. This criterion, estimated via convex optimization, enables parameter tuning and model selection among entropic regularization of OT, input convex neural networks and smooth and strongly convex nearest-Brenier (SSNB) models. We also use this criterion to question the use of OT in Domain-Adaptation (DA). In a standard DA experiment, it enables us to identify the potential that is closest to the true OT map between the source and the target. Yet, we observe that this selected potential is far from being the one that performs best for the downstream transfer classification task.

  • [hal-03950277] An Efficient HW/SW Design for Text Extraction from Complex Color Image

    In the context of constructing an embedded system to help visually impaired people to interpret text, in this paper, an efficient High-level synthesis (HLS) Hardware/Software (HW/SW) design for text extraction using the Gamma Correction Method (GCM) is proposed. Indeed, the GCM is a common method used to extract text from a complex color image and video. The purpose of this work is to study the complexity of the GCM method on Xilinx ZCU102 FPGA board and to propose a HW implementation as Intellectual Property (IP) block of the critical blocks in this method using HLS flow with taking account the quality of the text extraction. This IP is integrated and connected to the ARM Cortex-A53 as coprocessor in HW/SW codesign context. The experimental results show that the HLS HW/SW implementation of the GCM method on ZCU102 FPGA board allows a reduction in processing time by about 89% compared to the SW implementation. This result is given for the same potency and strength of SW implementation for the text extraction

  • [hal-03058990] Offloading Network Data Analytics Function to the Cloud with Minimum Cost and Maximum Utilization

    Cloud computing is being embraced more and more by telecommunication operators for on-demand access to computing resources. Knowing that 5G Core reference architecture is envisioned to be cloud-native and service-oriented, we propose, in this paper, offloading to the cloud, some of 5G delay-tolerant Network Functions and in particular the Network Data Analytics Function (NWDAF). The dynamic selection of cloud resources to serve off-loaded 5G-NWDAF, while incurring minimum cost and maximizing utilization of served next generation Node-Bs (gNBs) requires agility and automation. This paper introduces a framework to automate the selection process that satisfies resource demands while meeting two objectives, namely, cost minimization and utilization maximization. We first formulate the mapping of gNBs to 5G-NWDAF problem as an Integer Linear Program (ILP). Then, we propose an algorithm to solve it based on branch-cut-and-price technique combining all of branch-and-price, branch-and-cut and branch-and-bound. Results using pricing data from a public cloud provider (Google Cloud Platform), show that our proposal achieves important savings in cloud computing costs and reduction in execution time compared to other state-of-the-art frameworks.

  • [hal-03058987] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

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  • [hal-03058986] Autonomous Anomaly Detector for Cloud-Radio Access Network Key Performance Indicators

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  • [hal-02566915] Optimization of Virtualization Cost, Processing Power and Network Load of 5G Software-Defined Data Centers

    Virtualization is getting unprecedented attention from Mobile Network Operators (MNOs) as it provides agility in deployment, especially when coupled with the Cloud that offers inherent elasticity and load-balancing of resources. MNOs have to ensure operational excellence by meeting several objectives. In this context, we propose in this paper, a framework for optimizing the mapping of next Generation Node-Bs (gNBs) to Software-Defined 5G Core (5GC) delay tolerant Network Functions (NFs). These NFs are considered to be deployed as a Virtual Machine (VM) pool, or containers, in order to minimize cloud computing cost, processing power and at the same time maximize network load. First, we formulate this problem as an integer linear program, while taking into account multiple constraints including Virtual Central Processing Unit (vCPU) capacity, central processing load limits and integrality of mapping relations between gNBs and 5GC NFs. Then, we propose an algorithm to solve large problem instances based on Branch, Cut and Price (BCP) combining all of “Branch and Price”, “Branch and Cut” and “Branch and Bound” frameworks. We present several schemes reflecting different optimization goals that the MNO can foster: virtualization cost, power minimization, network load or all. Simulation results demonstrate the good performance of our proposed algorithm to solve the gNBs-VM pool mapping for all evaluated schemes, while also emphasizing the advantages of a particular one (EWoS-333 for Equal Weight optimization Scheme) that can decrease virtualization cost by almost one order of magnitude compared to a static selection scheme, while considering the other two objectives.

  • [hal-03298904] Autonomous Network Slicing Prototype Using Machine-Learning-Based Forecasting for Radio Resources

    With the emergence of virtualization and software automation for mobile networks, network slicing is enabling operators to dynamically provision network resources tuned to suit heterogeneous service requirements. This article investigates the architectures of the fifth generation (5G) of mobile networks experimental prototypes with a focus on network slicing. We present some existing 5G prototypes and identify their gaps. We then propose an architecture and a design of a 5G micro-service-based prototype. This prototype has the ability to auto-con-figure radio resources for network slices using machine-learning-powered decisions based on real-time acquired performance metrics. Finally, we discuss some use cases on top of this prototype and their related results before concluding.

  • [hal-01803508] Optimization of the Implementation of Network Slicing in 5G RAN

    Slicing is an emergent technology for 5G. It decomposes a single Radio Access Network (RAN) into multiple virtual networks "slices" to meet demands in term of throughput, mobility, latency, reliability, etc. Slicing needs real-time reconfigurations to keep current with demands' dynamics. This results in an increased cost of Operation Expenditures (OPEX). We approached this challenge as an optimization problem of infrastructure's resources. We virtualized and pooled Baseband Units (BBUs) resources on cloud. Dynamic allocation and interconnection with Remote Radio Heads (RRHs) are made possible by leveraging the advents of Network Function Virtualization (NFV) and Software-defined Networking (SDN). We implemented Distributed Base Station (DBS) using open software platform along to a public service orchestration tool for clouds. Our contribution is integrating service selection and deployment with real-time monitoring that allowed auto-control of resources by looping resources' lifecycle. In our experiments, we deployed several slices and we tested two scenarios. First scenario addressed slices' auto-scaling (Infrastructure Scale- Out/Scale-In) when free resources are available in the pool. Second scenario simulated slices' breathing (orchestration of resources) when the pool of resources is exhausted. In first scenario, results show that leveraging cloud elasticity by auto-scaling resources saves costs by providing exactly "what-is-needed" "when-it-is- needed" in term of cloud computing. In second scenario, results show that slices' breathing maximizes the usability by employing our "inhale-and-exhale" heuristic. It is about reusing resources from under-loaded slices in favor of overloaded ones with seamless effect on the user-experience.

  • [hal-03947488] Bratteli Diagrams and C{*}-Algebras

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  • [hal-03947483] Interval Exchange Transformations

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  • [hal-03947478] Dendric Shifts

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  • [hal-03947473] Substitution Shifts and Generalizations

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  • [hal-03947467] Bratteli Diagrams

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  • [hal-03947458] Partitions in Towers

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  • [hal-03947445] Ordered Groups

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  • [hal-03947418] Introduction

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  • [tel-03941345] Learning surface elements for shape representation

    In this thesis, we focus we aim to represent the surfaces of 3D shapes using deformable elements. Many works from recent years have inspired this thesis. The most important is AtlasNet, a neural network architecture that learns how to deform a set of square patches to reconstruct the surface of any given shape in a “papier maché” like approach. We chose to start this thesis from AtlasNet, building upon its design to extend the philosophy of this approach to new tasks such as element discovery and joint shape collection parameterization. Our work was motivated by a range of industrial 3D-related challenges such as generating 3D representation, texturing, and many more. This thesis presents two main technical contributions. The first one is to represent a collection of objects by a set of joint deformable elements that we call elementary structures. We designed these elementary structures to learn and represent consistent and meaningful parts of the objects in the collection. They are similar to primitives. We propose two models of elementary structures : (i) patch deformation and (ii) point leaning. The first learns parametric surfaces that enable us to generate a continuous surface representation of the collection of shapes. The second learns a parametric set of points not constrained by topology, allowing us to generate more complex and interpretable elementary structures. An adjustment module learns to position and deform the elementary structures to reconstruct any shape of the collection. Using the elementary structures and the adjustment modules, we can generate an accurate reconstruction that preserves correspondences between shapes. The shape of those elements can evolve during training from a simple initialization to more complex shapes that describe the semantic part of the collection. This reconstruction strategy enables us to understand the underlying parts that best describe the collection’s objects. We see it as an analysis-by-synthesis strategy. The second technical contribution of this thesis builds upon elementary structures to learn a parameterization of a single shape or a collection’s shapes. We combine the best features of the point learning and patch deformation modules in order to build a method that generates continuous surfaces not constrained by topology. This representation is conceptually similar to an atlas, i.e., a set of compatible homeomorphisms between a 3D shape and a 2D domain. We created a pipeline whose components mimic the defining elements of atlases. Namely, we learn a 2D domain homeomorphic to the surface, a parameterization which maps it to the surface and a chart which maps on it the surface. We show that we can merge the continuous surface aspect of the patch deformation modules and the flexibility of the point learning modules by representing the 2D domain as a probability density function. Our pipeline can represent several shapes using a single joint 2D domain while producing a joint atlas representation of a collection’s shapes. Our method could allow using existing parameterization techniques such as texture mapping, displacement, roughness, ambient occlusion, height maps and many more on a collection of shapes. Both methods presented in this thesis improve the reconstruction quality as measured on benchmarks with shapes of our collection and improved the coherence of the reconstruction.

  • [hal-00790544] Digital line and plane recognition using combinatorial optimization by multiresolutional representation

    Line and plane recognition is one of the essential tasks in the field of computer vision. While methods for digital plane recognition based on digital geometry can detect the global optimal solution, they require enormous computation time. In this paper, we propose a digital line/plane recognition method using multiresolutional representation as mixed integer linear programming problems which require much less computation time than the conventional methods. Our method reduces both the outliers of points and the search space of the line/plane parameters at low resolutions. Experimental results show that the computation time was reduced significantly by our method.

  • [hal-00827196] Efficient Robust Digital Annulus Fitting with Bounded Error

    A digital annulus is defined as a set of grid points lying between two circles sharing an identical center and separated by a given width. This paper deals with the problem of fitting a digital annulus to a given set of points in a 2D bounded grid. More precisely, we tackle the problem of finding a digital annulus that contains the largest number of inliers. As the current best algorithm for exact optimal fitting has a computational complexity in O(N 3 logN) where N is the number of grid points, we present an approximation method featuring linear time complexity and bounded error in annulus width, by extending the approximation method previously proposed for digital hyperplane fitting. Experiments show some results and runtime in practice.

  • [tel-03934663] Data-driven Dynamic Optimization of Traffic Workload and Network Slicing for 5G Networks and beyond

    The 5G networks are expected to meet the ever increasing number of demands, connected devices and data traffic volume, which pushes network operators to their limits in terms of flexibility, elasticity and profitability. SDN, NFV, Network Slicing, ML and Cloud computing are considered as the key technologies to tackle these problems. However, the design and the maturity of these technologies raise new problems in terms of traffic engineering and routing optimization, network infrastructure sharing and distributed SDN control management. In this context, we address, in this thesis, the following problems: 1) how to reactively and proactively define the flow rules and where to place them in order to avoid network congestion, 2) how to create an isolated and efficient E2E network slice by taking into account NFV and SDN to optimize the traffic routing and avoid congestion in a specific network slice, 3) how many SDN controllers needed, where to place them and their corresponding data plane domains in order to improve the performances, and 4) how to leverage intelligence via ML in SDN in order to solve complex problems arising in routing optimization, Network Slicing and controller placement, while guaranteeing the requested QoS.Our first contribution presents an SDN-based rules placement approach that aims to dynamically: i) predict traffic congestion by using mainly NN, then ii) learn optimal paths and reroute traffic to improve network link utilization by deploying a DQN agent. As a second contribution of this thesis, we design and implement an SDN based architecture for E2E network slicing, which proactively and dynamically adapts radio slices to the transport network slices. In the third and last contribution, we present a new method that dynamically computes the optimal number of controllers, determines their optimal locations, and at the same time partitions the set of data plane switches into clusters and assigns them to these controllers

  • [hal-00827895] Combinatorial optimization for fitting of digital line and plane

    We present a method for fitting a digital line/plane from a given set of 2D/3D grid points. In the framework of discrete geometry, a digital line or plane is defined as a set of grid points located between two parallel lines or planes separated by a small distance. Our purpose is to identify such a pair of Euclidean lines/planes that represents a given set of points. This problem is formulated as a mixed integer/linear programming problem, with the objective to maximize the number of points between the two lines/planes.

  • [hal-00622219] Planar surface segmentation of a point cloud using local geometric patterns

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  • [hal-00622237] Complicial thinning for three-dimensional digital images: recursive definition of reductive points and their topological characteristics

    Thinning is an image operation whose goal is to reduce objet points in a "topology-preserving" way. In the process, therefore, the denition of reductive points plays an important role. Most of conventional definitions are based on the concept of point connectivities and they lack topological tools, especially for three-dimensional digital images. In this paper, we introduce a new notion of thinning based on polyhedral complexes which give a topology in the discrete space and the recursive definition of reductive points. We also clarify their topological characteristics which provide an effective thinning algorithm.

  • [hal-00622235] Temporal model based robot navigation using optical flow

    In this paper, we aim to develop an algorithm for the navigation of an autonomousrobot using optical flow observed through a vision system mounted on a mobile robot. Optical flow is used for generating a temporal-model of the robot motion. The temporalmodel enables us to detect a planar area on which robot moves by matching with optical flow, and estimate a ego-motion of the mobile robot. If we obtain the planar area and a ego-motion, we can navigate the mobile robot autonomously. We show experiments for the detection of the planar area and estimation of the ego-motion of the robot using the image sequence observed through the mobile robot.

  • [hal-03928064] Discrete Morse Functions and Watersheds

    Any watershed, when defined on a stack on a normal pseudomanifold of dimension d, is a pure (d − 1)-subcomplex that satisfies a drop-of-water principle. In this paper, we introduce Morse stacks, a class of functions that are equivalent to discrete Morse functions. We show that the watershed of a Morse stack on a normal pseudomanifold is uniquely defined, and can be obtained with a linear-time algorithm relying on a sequence of collapses. Last, but not the least, we prove that such a watershed is the cut of the unique minimum spanning forest, rooted in the minima of the Morse stack, of the facet graph of the pseudomanifold.


Articles principaux

On the Performance of Sliding Window TD-LMMSE Channel Estimation for 5G Waveforms in High Mobility Scenario

SAIDEH, Michel ; BERBINEAU, Marion ; DAYOUB, Iyad   /   (2018)

IEEE Transactions on Vehicular Technology, 5p, doi: 10.1109/TVT.2018.2845551

https://dx.doi.org/10.1109/TVT.2018.2845551
https://ieeexplore.ieee.org/document/8375806/

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On Doubly selective Channel Estimation for FBMC-OQAM using the LMMSE Filter for Future Railway Communications

SAIDEH, Michel ; BERBINEAU, Marion ; DAYOUB, Iyad   /   (2018)

ITST 2018, 16th International Conference on Intelligent Transport Systems Telecommunications, PORTUGAL, 6p

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Cyber-Physical Security Risk Assessment for Train Control and Monitoring Systems

REKIK, mouna ; GRANSART, Christophe ; BERBINEAU, Marion   /   (2018)

SSV 2018, 1st International Workshop on System Security and Vulnerability, IEEE CNS Conference on Communications and Network Security, CHINE, 9p

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Cyber-physical Threats and Vulnerabilities Analysis for Train Control and Monitoring Systems

REKIK, Mouna ; GRANSART, Christophe ; BERBINEAU, Marion   /   (2018)

IEEE ISNCC 2018, International Symposium on Networks, Computers and Communications, ITALIE, 6p

https://ieeexplore.ieee.org/document/8531005

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A new clustering structure for VANET

RIVOIRARD, Lucas ; WAHL, Martine ; SONDI, Patrick ; BERBINEAU, Marion ; GRUYER, Dominique   /   (2018)

TRA 2018, 7th Transport Research Arena, AUTRICHE, 10p

https://zenodo.org/record/1485695#.XG7Ba7jZCbg
https://dx.doi.org/10.5281/zenodo.1485695

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A Cooperative Vehicle Ego-localization Application Using V2V Communications with CBL Clustering

RIVOIRARD, Lucas ; WAHL, Martine ; SONDI, Patrick ; GRUYER, Dominique ; BERBINEAU, Marion   /   (2018)

IEEE IV 2018, 29th IEEE Intelligent Vehicles Symposium, CHINE, pp.722-727

https://ieeexplore.ieee.org/document/8500688
https://dx.doi.org/10.1109/IVS.2018.8500688

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Extended Kalman Filter (EKF) Innovation-based Integrity Monitoring Scheme with C/N0 Weighting

ZHU, Ni ; BETAILLE, David ; MARAIS, Juliette ; BERBINEAU, Marion   /   (2018)

IEEE RTSI 2018, 4th International Forum on Research and Technologies for Society and Industry, ITALIE, 6p

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Evaluating TCMS Train-to-Ground communication performances based on the LTE technology and discreet event simulations

BOUAZIZ, Maha ; YAN, Ying ; KASSAB, Mohamed ; SOLER, José ; BERBINEAU, Marion   /   (2018)

13th International Workshop on Communication Technologies for Vehicles: Nets4Cars - Nets4Trains - Nets4Aircraft - Nets4Spacecrafts, ESPAGNE, 12p

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Train-to-Ground communications of Train Control and Monitoring Systems: A simulation platform modelling approach

BOUAZIZ, Maha ; YAN, Ying ; KASSAB, Mohamed ; SOLER, José ; BERBINEAU, Marion   /   (2018)

TRA 2018, 7th Transport Research Arena, AUTRICHE, 10p

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Proposition d'une structuration dynamique d'un réseau de communication intervéhiculaire pour les ITS

RIVOIRARD, Lucas ; WAHL, Martine ; SONDI, Patrick ; BERBINEAU, Marion ; GRUYER, Dominique   /   (2018)

RDMI 2018, Les rencontres de la mobilité intelligente, ATEC ITS FRANCE, FRANCE, 11p

http://www.congres-atecitsfrance.fr/actualites/programme-2018-telecharger-les-pre-actes

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Graph-based people segmentation using a genetically optimized combination of classifiers

MEURIE, Cyril ; LEZORAY, Olivier ; CONIGLIO, Christophe ; BERBINEAU, Marion   /   (2018)

Journal of Electronic Imaging, 27p

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GNSS Integrity Enhancement for Urban Transport Applications by Error Characterization and Fault Detection and Exclusion (FDE)

ZHU, Ni ; BETAILLE, David ; MARAIS, Juliette ; BERBINEAU, Marion   /   (2018)

Géolocalisation et Navigation dans l'Espace et le Temps, Journées Scientifiques 2018 de l'URSI, FRANCE, 11p

https://ursi-france.sciencesconf.org/187025/document

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Safety Appraisal of GNSS-Based Localization Systems Used in Train Spacing Control

BEUGIN, Julie ; LEGRAND, Cyril ; MARAIS, Juliette ; BERBINEAU, Marion ; EL KOURSI, El Miloudi   /   (2018)

IEEE Access, 6, 99, pp9898-9916, doi: 10.1109/ACCESS.2018.2807127

http://ieeexplore.ieee.org/document/8293773/
http://dx.doi.org/10.1109/ACCESS.2018.2807127

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GNSS Position Integrity in Urban Environments: A Review of Literature

ZHU, Ni ; MARAIS, Juliette ; BETAILLE, David ; BERBINEAU, Marion   /   (2018)

IEEE Transactions on Intelligent Transportation Systems, 19, 9, pp2762-2778, doi: 10.1109/TITS.2017.2766768

https://doi.org/10.1109/TITS.2017.2766768
https://ieeexplore.ieee.org/document/8248655/

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Performance Evaluation of Multi-Carrier Modulation Techniques in High Speed Railway Environment with Impulsive Noise

SAIDEH, Michel ; ALSABA, Yamen ; DAYOUB, Iyad ; BERBINEAU, Marion   /   (2019)

5GWF 2019, IEEE 2nd 5G World Forum, ALLEMAGNE, pp243-248

https://doi.org/10.1109/5GWF.2019.8911645

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A Round Earth Loss Model and Small-Scale Channel Properties for Open-Sea Radio Propagation

YANG, Kun ; F. MOLISCH, Andreas ; EKMAN, Torbjörn ; ROSTE, Terje ; BERBINEAU, Marion   /   (2019)

IEEE Transactions on Vehicular Technology, 68, 9, pp 8449-8460, doi: 10.1109/TVT.2019.2929914

https://doi.org/10.1109/TVT.2019.2929914

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Joint Interference Cancellation for Multi-Carrier Modulation-Based Non-Orthogonal Multiple Access

SAIDEH, Michel ; ALSABA, Yamen ; DAYOUB, Iyad ; BERBINEAU, Marion   /   (2019)

IEEE Communications Letters, 23, 11, pp2114-2117, doi: 10.1109/LCOMM.2019.2933817

http://dx.doi.org/10.1109/LCOMM.2019.2933817
https://hal.archives-ouvertes.fr/hal-03133339

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Efficient Equalization for FBMC-OQAM Under Doubly Selective Channel Estimation Errors

SAIDEH, Michel ; DAYOUB, Iyad ; BERBINEAU, Marion   /   (2019)

IEEE Communications Letters, 23, 5, pp863-866, doi: 10.1109/LCOMM.2019.2907938

http://dx.doi.org/10.1109/LCOMM.2019.2907938
https://hal.archives-ouvertes.fr/hal-03142226

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Hardware-in-the-loop and Software-in-the-loop platform for test and validation of adaptable radio communications systems for railways at IP layer

MORENO, Juan ; BOUAZIZ, Maha ; BERBINEAU, Marion ; YAN, Ying ; SOLER, José ; TORREGO, Raul ; INAKI, Val ; VIZZARRI, Alessandro ; CLAVIER, Laurent ; KASSI, Rédha ; COCHERIL, Yann ; DENIAU, Virginie ; GRANSART, Christophe   /   (2019)

Net4Rails, FRANCE, 9p

https://orbit.dtu.dk/en/publications/hardware-in-the-loop-and-software-in-the-loop-platform-for-test-a

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The SmartRaCon Concept for advanced train control systems

MEYER ZU HÖRSTE, Michael ; HAINZ, Svenja ; BERBINEAU, Marion ; MARAIS, Juliette ; MASSON, Emilie ; MENDIZABAL, Jaizki ; HUTCHINSON, Michael   /   (2019)

WCRR 2019, 12th World Congress on Railway Research, Railway Research to Enhance the Customer Experience, JAPON, 6p

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Extraction de silhouettes à partir de boîtes englobantes de détection

MEURIE, Cyril ; LEZORAY, Olivier ; BERBINEAU, Marion   /   (2019)

GRETSI 2019, 27ème Colloque francophone de traitement du signal et des images, FRANCE, 4p

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Safe satellite-based localization of the train thanks to a combination of accuracy enhancement and fault detection and exclusion schemes

MARAIS, Juliette ; ZHU, Ni ; BERBINEAU, Marion ; BETAILLE, David   /   (2019)

WCRR 2019, 12th World Congress on Railway Research, JAPON, 6p

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Application of fuzzy theory for identifying the required availability of an autonomous localization unit in European Train Control System

NGUYEN, Khanh ; BEUGIN, Julie ; BERBINEAU, Marion ; MARAIS, Juliette   /   (2019)

Journal of Intelligent Transportation Systems, 18p, doi: 10.1080/15472450.2018.1525533

https://doi.org/10.1080/15472450.2018.1525533
https://www.tandfonline.com/doi/full/10.1080/15472450.2018.1525533

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On the Sum Rate of MCM-Based NOMA and MCM-Based OMA Systems

ALSABA, Yamen ; SAIDEH, Michel ; DAYOUB, Iyad ; BERBINEAU, Marion   /   (2020)

ICSPCS 2020, 14th International Conference on Signal Processing and Communication Systems, AUSTRALIE, 5p

https://doi.org/10.1109/ICSPCS50536.2020.9310001

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Emulation of various radio access technologies for zero on site testing in the railway domain - the Emulradio4rail platforms

BERBINEAU, Marion ; MORENO, Juan ; KHARBECH, Sofiane ; YANG, Ying ; VIZZARI, Alessandro ; TORREGO, Raul ; SOLER, José ; CLAVIER, Laurent ; KASSI, Rédha ; MAZZENGA, Franco ; GIULIANO, Romeo ; INAKI, Val ; GRANSART, Christophe ; DENIAU, Virginie ; COCHERIL, Yann ; SVENSSON, Kristina ; CARILLO, Armano   /   (2020)

TRA 2020, 8th Transport Research Arena, FINLANDE, 10p

https://hal.archives-ouvertes.fr/hal-03343233

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Emulation of end-to-end communications systems in railway scenarios: physical layer results

MORENO GARCIA-LOYGORRI, Juan ; KHARBECH, Sofiane ; CLAVIER, Laurent ; KASSI, Redha ; TORREGO, Raul ; ARRIOLA, Aitor ; VAL, Inaki ; BERBINEAU, Marion ; SOLER, José ; YAN, Ying   /   (2020)

EuCAP 2020, 14th European Conference on Antennas and Propagation, DANEMARK, 5p

http://dx.doi.org/10.23919/EuCAP48036.2020.9135760
https://hal.archives-ouvertes.fr/hal-03270096
https://hal.archives-ouvertes.fr/hal-03270096/file/EuCAP2020_YingYan.pdf

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GNSS Integrity Monitoring Schemes for Terrestrial Applications in Harsh Signal Environments

ZHU, Ni ; BETAILLE, David ; MARAIS, Juliette ; BERBINEAU, Marion   /   (2020)

IEEE Intelligent Transportation Systems Magazine , 11p, doi: 10.1109/MITS.2020.2994076

https://ieeexplore.ieee.org/document/9113715

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