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Jessica BOUCHEZ

Responsable déléguée du Service IST sur le campus Lille - Villeneuve d'Ascq

Jessica BOUCHEZ

Responsable déléguée du Service IST sur le campus Lille - Villeneuve d'Ascq

Activités de recherche

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

- Administration de l'archive institutionnelle Madis

- 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

Decembre 2020

HOUBBADI, Adnane, 2020, Optimisation multicritère de la gestion de la recharge d'une flotte de bus électriques, Thèse de doctorat de l'Université de Lyon, Ecole DoctoraleED160 EEA, Spécialité : Génie Électrique, Université de Lyon, 219p.

https://tel.archives-ouvertes.fr/tel-02537873
https://tel.archives-ouvertes.fr/tel-02537873/file/TH2020HOUBBADIADNANE.pdf

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KABALAN, Bilal, 2020, Méthodologie de génération systématique et de conception des chaines de traction de véhicules hybrides, THESE de DOCTORAT DE L'UNIVERSITE DE LYON opérée au sein de l'Université Claude Bernard Lyon 1, Spécialité de doctorat : Génie électrique Discipline : Sciences pour l'ingénieur, Université de Lyon

https://tel.archives-ouvertes.fr/tel-02863337
https://tel.archives-ouvertes.fr/tel-02863337/file/TH2020KABALANBILAL.pdf

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GONZALEZ RAMIREZ, Humberto, 2020, Etude des choix des usagers dans les réseaux de transport grâce à un "jeu de simulation", Thèse de doctorat de l'université de Lyon, Spécialité Génie Civil, Université de Lyon, 211p

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ALISOLTANI DEHKORDI, Negin, 2020, Méthodes d'optimisation basée sur la simulation pour le covoiturage dynamique, Thèse de doctorat de l'université de Lyon, Spécialité Génie Civil, Université de Lyon, 195p

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ALJ, Ismail, 2020, Durabilité des capteurs à fibre optique destinés aux mesures réparties de déformation dans les ouvrages en béton, Thèse de doctorat de l'Université Paris-Est, spécialité Génie Civil, Université Paris-Est, 385 p., photos, graph., fig., bibliogr., ann.

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WANG, Ao, 2020, Imagerie différentielle en ondes de surface sismiques et ultrasonores pour le monitoring de structures anthropiques et du proche sous-sol environnant, Thèse de doctorat, Ecologie, Géosciences, Agronomie et Alimentation, Spécialité : Sciences de la Terre et de l'environnement, Université de Nantes, 161 p

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CHAR, François, 2020, Estimation des bénéfices apportés en sécurité routière par des avertisseurs de collision frontale pour des piétons et des cyclistes et sensibilité de ces systèmes, Thèse de doctorat de l'université d'Aix-Marseille, Discipline : Sciences du Mouvement Humain, AMU - Aix Marseille Université, 293p

https://hal-amu.archives-ouvertes.fr/tel-03058542
https://hal-amu.archives-ouvertes.fr/tel-03058542/file/Thesis manuscrit-Francois-CHAR-V2.pdf

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GHASEMI, Navid, 2020, Improvement of the driving simulator control and comparison between driver-road-vehicule interaction in real and simulated environment, Thèse de doctorat, Università degli studi Bologna, 219p

https://tel.archives-ouvertes.fr/tel-03033387
https://tel.archives-ouvertes.fr/tel-03033387/file/TH2020PESC2010.pdf

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BOULET, Xavier, 2020, Articulation d'échelles en simulation de mobilité, Thèse de doctorat en Informatique, Université Paris-Est, Université Paris-Est, 129p

https://tel.archives-ouvertes.fr/tel-03047082

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MARTINET, Simon, 2020, Estimation in-situ des facteurs d'émission des polluants du trafic routier, Thèse de doctorat de l'Université de Lyon, spécialité : Sciences de l'environnement / Émissions des transports, Université de Lyon

https://tel.archives-ouvertes.fr/tel-03058446
https://tel.archives-ouvertes.fr/tel-03058446/file/Martinet_PhD_thesis_2020.pdf

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EL BOUSTANI, Chadi, 2020, Méthodes numériques efficaces et innovantes pour la modélisation non-linéaire des structures des charpentes métalliques , Thèse de doctorat, spécialité : structures et matériaux, Université Paris-Est, 208 p

https://hal-enpc.archives-ouvertes.fr/tel-02935139

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ALAVOINE, Axelle, 2020, Modélisation du comportement des sédiments riches en hydrates de gaz via l'homogénéisation des propriétés micro-mécaniques , Thèse de doctorat, spécialité : géotechnique, Université Paris-Est, 170 p

https://pastel.archives-ouvertes.fr/tel-03020159
https://pastel.archives-ouvertes.fr/tel-03020159/file/TH2020PESC1008.pdf

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BOULAUD, Romain, 2020, Etudes et modélisations du comportement d'un écran de filet pare-blocs à différentes échelles , Thèse de doctorat génie civil, spécialité : structure et matériaux, Université Paris-Est

https://tel.archives-ouvertes.fr/tel-03043750
https://tel.archives-ouvertes.fr/tel-03043750/file/TH2020PESC2017.pdf

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BOU LEBA BASSIL, Marianne, 2020, Étude des mécanismes aérodynamiques à l'origine du bruit de contact pneumatique/chaussée, Thèse de doctorat de l'Ecole centrale de Nantes, spécialité : mécaniques des milieux fluides, École Centrale de Nantes, 182

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RATON, Gwenaelle, GONCALVES, Amélie, GAILLARD, Leila, WALLET, Frédéric, 2020, Logistique des circuits courts alimentaires de proximité : état des lieux, nouveaux enjeux et pistes d'évolution. Synthèse , -, 21p

https://www.rmt-alimentation-locale.org/post/logistique-%C3%A9tat-des-lieux-logistique-des-cha%C3%AEnes-courtes-de-proximit%C3%A9

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BOURBIA, Véréna, 2020, Le rôle de la diversité urbaine et commerciale sur les pratiques logistiques des commerces de détail alimentaires en ville : le cas des Hauts-de-France , Thèse de doctorat en Géographie, Université de Lille, Laboratoire Clersé UMR CNRS 8019, Université de Lille, Laboratoire Clersé UMR CNRS 8019, 409 p

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MANZINI, Nicolas, 2020, Surveillance de santé structurale des ouvrages d'art incluant les systèmes de positionnement par satellites, Thèse de doctorat, spécialité Génie civil, Université Paris-Est, Université Paris-Est Créteil - UPEC, 214 p., graph., photos, bibliogr.

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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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EL ARJA, Hiba, 2020, Contribution à la modélisation numérique des excavations profondes , Thèse de doctorat, spécialité géotechnique, Université Paris-Est, 230p

https://tel.archives-ouvertes.fr/tel-03164869
https://tel.archives-ouvertes.fr/tel-03164869/file/TH2020PESC2034.pdf

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KAMENGA, Franck, 2020, Optimisation combinatoire intégrée de la gestion du matériel roulant et de la circulation ferroviaire dans les gares de passagers, Thèse de doctorat de l'Université de Lille, Spécialité Informatique, Université de Lille, 89p

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NGUYEN, Minh-Hieu, 2020, Deriving trip's modes and trip's purposes from GPS-based travel surveys, Thesis for the degree of Doctor of Sciences, Université Paris-Est ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - IFSTTAR, 154p

https://hal.archives-ouvertes.fr/tel-03168216

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LASSERRE-BIGORRY, Vincent, 2020, Consommation de logement, parcours résidentiels et accession à la propriété en Île-de-France : une approche par la modélisation, Thèse de doctorat, Discipline : Aménagement de l'espace, urbanisme, Université Paris-Est, Université Paris-Est, 389p

https://pastel.archives-ouvertes.fr/tel-03128783
https://pastel.archives-ouvertes.fr/tel-03128783/file/TH2020PESC1017.pdf

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PERRIN, Julie, 2020, La territorialisation des gares franciliennes de la grande vitesse ferroviaire face aux mutations du modèle TGV : Une analyse par la desserte du cas de Marne-la-Vallée Chessy, Thèse de doctorat de l'Université Paris-Est, Géographie, Université Paris-Est

https://tel.archives-ouvertes.fr/tel-03161898
https://tel.archives-ouvertes.fr/tel-03161898/file/TH2020PESC2032.pdf

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VIZZARI, Domenico, 2020, Mix-design d'une nouvelle couche semi-transparente pour les routes solaires, Thèse de doctorat, Sciences pour l'Ingénieur, spécialité Génie civil, École centrale de Nantes, 180 p

https://tel.archives-ouvertes.fr/tel-03162227

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KAYSER, Bill, 2020, Estimation des incertitudes de modélisation du bruit des éoliennes, Thèse de doctorat de Le Mans Université, spécialité : acoustique, Université du Maine, 191 p

https://hal.archives-ouvertes.fr/tel-03199289

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ALHAJJ, Marie-Antoinette, 2020, Inversion conjointe de mesures non destructives pour l'évaluation des gradients de degré de saturation dans le béton d'enrobage des structures, Thèse de doctorat en Sciences pour l'ingénieur, spécialité Génie civil, École centrale de Nantes, 273 p.

https://tel.archives-ouvertes.fr/tel-03178337

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ref madis

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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titre

Il n'y a aucune publication pour cette liste.

titre réf

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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madis julie

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/

Plus d'infos

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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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

Plus d'infos

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, pp687-696

https://www.imdr-lm22.fr/

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Hal id

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
Alain l'Hostis
All geographical distances are optimal. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2020
10.4000/cybergeo.35048
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, Elsevier, 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. 2020
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, Urbanités, 2019, 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
Francis Papon, Alain l'Hostis
La mobilité produit l'urbanisme, et inversement. La Jaune et la Rouge, 2018, 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, 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, UMR 8504 Géographie-cités, 2018
10.4000/cybergeo.29365
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, National Committee of Geography of Belgium, Société Royale Belge de Géographie, 2017
10.4000/belgeo.19584
Alain l'Hostis
Detour and break optimising distance, a new perspective on transport and urbanism. Environment and Planning B: Planning and Design, SAGE Publications, 2017, 44 (3), pp.441-463
10.1177/0265813516638849
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
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, ATEC ITS France, 2017, 2p
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, IFSTTAR, 2017, 2016 (01-02), pp.17-25
10.4074/S0761898016002028
Alain l'Hostis
Les périmètres du Transit Oriented Development : caractérisation de la relation entre ville et transport collectifs. 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, 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, UMR 8504 Géographie-cités, 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
The first unparametrized image of the shrivelled world. author A L'Hostis 2016. Computer graphics. France. 2016
Alain l'Hostis, Sébastien Darchen
Characterising Transit Oriented Development in the Paris metropolitan region: what type of TOD are they?. 2015
Monica Coralli, Alain l'Hostis
Le train et la ville : un jeu de distances et de proximités. 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, Elsevier, 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, 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
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
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, 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
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
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
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
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
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, IFSTTAR, 2011, 27 (4), pp.283-297
10.1007/s13547-011-0027-z
A Lhostis
Le foncier des environs de gare, enjeu d'un développement urbain orienté vers le rail. Etudes foncières, Compagnie d'édition foncière, 2011, 3p
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
Le foncier des environs de gare, enjeu d'un développement urbain orienté vers le rail. Etudes foncières, Compagnie d'édition foncière, 2011, pp.3
Ludovic Halbert, Marie Noëlle Comin, César Ducruet, Alain l'Hostis, D
Peeters, et al.. Analyse comparative des métropoles européennes. 2011, 248 p
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
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, 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
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, pp.40-42
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, Thomas Leysens, Johannes Keller
Fostering rail-based accessibility by land management. European Transport Conference ETC 2011, Oct 2011, Glasgow, United Kingdom
Ludovic Halbert, Patricia Cicille, Marie-Noëlle Cornin, César Ducruet, Alain l'Hostis, et al.
Analyse comparative des métropoles européennes. 2011, 334 p
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
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
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
Alain l'Hostis, Sandra Bozzani-Franc
Contactability measures for assessing urban competitiveness. 2010
Moritz Lennert, Gilles van Hamme, Catherine Patris, Maciej Smętkowski, Adam Płoszaj, et al.
FOCI Future Orientation for Cities. 2010
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
The shriveled USA: Representing time-space in the context of metropolitanization and the development of high speeds. Journal of Transport Geography, Elsevier, 2009, 17, pp.433-439
10.1016/j.jtrangeo.2009.04.005
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, 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, IFSTTAR, 2007, pp.11-26
10.3166/rts.94.11-26
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
Sabine Avril, Sandra Bozzani-Franc, Alain l'Hostis, Francesca Pico, Jacques Bize, et al.
Strategic Research Agenda for Urban Mobility. 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
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
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, IFSTTAR, 2006, pp.157-170
10.3166/rts.92.155-170
Philippe Menerault, Alain Barré, Alexis Conesa, Alain l'Hostis, Paola Pucci, et al.
Multipolarités urbaines et nouvelles organisations intermodales. 2006, 126p
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, 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, pp.43-54
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, Lavoisier, 2003, pp.69-80
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, 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, Maison de la géographie, 1996, 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

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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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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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, et al, -, 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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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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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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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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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

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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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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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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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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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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, 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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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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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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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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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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    Single cell RNA sequencing (scRNA-seq) data makes studying the development of cells possible at unparalleled resolution. Given that many cellular differentiation pro- cesses are hierarchical, their scRNA-seq data is expected to be approximately tree-shaped in gene expression space. Inference and representation of this tree-structure in two dimensions is highly desirable for biological interpretation and exploratory analysis. Our two contributions are an approach for identifying a meaningful tree structure from high-dimensional scRNA-seq data, and a visualization method respecting the tree-structure. We extract the tree structure by means of a density based minimum spanning tree on a vector quantization of the data and show that it captures biological information well. We then introduce DTAE, a tree-biased autoencoder that emphasizes the tree structure of the data in low dimensional space. We com- pare to other dimension reduction methods and demonstrate the success of our method experimentally. Our implementation relying on PyTorch and Higra is available at github.com/hci-unihd/DTAE.

  • [tel-03127055] Reconstruction et correspondance de formes par apprentissage

    L'objectif de cette thèse est de développer des approches d'apprentissage profond pour modéliser et analyser les formes 3D. Les progrès dans ce domaine pourraient démocratiser la création artistique d'actifs 3D, actuellement coûteuse en temps et réservés aux experts du domaine. Nous nous concentrons en particulier sur deux tâches clefs pour la modélisation 3D : la reconstruction à vue unique et la mise en correspondance de formes.Une méthode de reconstruction à vue unique (SVR) prend comme entrée une seule image et prédit le monde physique qui a produit cette image. SVR remonte aux premiers jours de la vision par ordinateur. Étant donné que plusieurs configurations de formes, de textures et d'éclairage peuvent expliquer la même image il faut formuler des hypothèses sur la distribution d'images et de formes 3D pour résoudre l’ambiguïté. Dans cette thèse, nous apprenons ces hypothèses à partir de jeux de données à grande échelle au lieu de les concevoir manuellement. Les méthodes d'apprentissage nous permettent d'effectuer une reconstruction complète et réaliste de l'objet, y compris des parties qui ne sont pas visibles dans l'image d'entrée.La mise en correspondance de forme vise à établir des correspondances entre des objets 3D. Résoudre cette tâche nécessite à la fois une compréhension locale et globale des formes 3D qui est difficile à obtenir explicitement. Au lieu de cela, nous entraînons des réseaux neuronaux sur de grands jeux de données pour capturer ces connaissances implicitement.La mise en correspondance de forme a de nombreuses applications en modélisation 3D telles que le transfert d'attribut, le gréement automatique pour l'animation ou l'édition de maillage.La première contribution technique de cette thèse est une nouvelle représentation paramétrique des surfaces 3D modélisées par les réseaux neuronaux. Le choix de la représentation des données est un aspect critique de tout algorithme de reconstruction 3D. Jusqu'à récemment, la plupart des approches profondes en génération 3D prédisaient des grilles volumétriques de voxel ou des nuages de points, qui sont des représentations discrètes. Au lieu de cela, nous présentons une approche qui prédit une déformation paramétrique de surface, c'est-à-dire une déformation d'un modèle source vers une forme objectif. Pour démontrer les avantages ses avantages, nous utilisons notre nouvelle représentation pour la reconstruction à vue unique. Notre approche, baptisée AtlasNet, est la première approche profonde de reconstruction à vue unique capable de reconstruire des maillages à partir d'images sans s’appuyer sur un post-traitement indépendant, et peut le faire à une résolution arbitraire sans problèmes de mémoire. Une analyse plus détaillée d’AtlasNet révèle qu'il généralise également mieux que les autres approches aux catégories sur lesquelles il n'a pas été entraîné.Notre deuxième contribution est une nouvelle approche de correspondance de forme purement basée sur la reconstruction par des déformations. Nous montrons que la qualité des reconstructions de forme est essentielle pour obtenir de bonnes correspondances, et donc introduisons une optimisation au moment de l'inférence pour affiner les déformations apprises. Pour les humains et d'autres catégories de formes déformables déviant par une quasi-isométrie, notre approche peut tirer parti d'un modèle et d'une régularisation isométrique des déformations. Comme les catégories présentant des variations non isométriques, telles que les chaises, n'ont pas de modèle clair, nous apprenons à déformer n'importe quelle forme en n'importe quelle autre et tirons parti des contraintes de cohérence du cycle pour apprendre des correspondances qui respectent la sémantique des objets. Notre approche de correspondance de forme fonctionne directement sur les nuages de points, est robuste à de nombreux types de perturbations, et surpasse l'état de l'art de 15% sur des scans d'humains réels

  • [hal-03134003] Synchronizing Almost-Group Automata

    In this paper we address the question of synchronizing random automata in the critical settings of almost-group automata. Group automata are automata where all letters act as permutations on the set of states, and they are not synchronizing (unless they have one state). In almost-group automata, one of the letters acts as a permutation on n−1 states, and the others as permutations. We prove that this small change is enough for automata to become synchronizing with high probability. More precisely, we establish that the probability that a strongly connected almost-group automaton is not synchronizing is (2<sup>k−1</sup>−1)/(n<sup>2(k−1)</sup>)*(1+o(1)), for a k-letter alphabet.

  • [hal-03134002] Birecurrent sets

    A set is called recurrent if its minimal automaton is strongly connected and birecurrent if it is recurrent as well as reversal. We prove a series of results concerning birecurrent sets. It is already known that any birecurrent set is completely reducible (that is, such that the minimal representation of its characteristic series is completely reducible). The main result of this paper characterizes completely reducible sets as linear combinations of birecurrent sets

  • [hal-03133246] Robust Angular Local Descriptor Learning

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  • [hal-03132460] Label Propagation Guided by Hierarchy of Partitions for Superpixel Computation

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  • [hal-03132263] Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping

    Unsupervised domain mapping aims to learn a function G XY to translate domain X to Y in the absence of paired examples. Finding the optimal G XY without paired data is an ill-posed problem, so appropriate constraints are required to obtain reasonable solutions. While some prominent constraints such as cycle consistency and distance preservation successfully constrain the solution space, they overlook the special properties of images that simple geometric transformations do not change the image's semantic structure. Based on this special property, we develop a geometry-consistent generative adversarial network (Gc-GAN), which enables one-sided unsupervised domain mapping. GcGAN takes the original image and its counterpart image transformed by a predefined geometric transformation as inputs and generates two images in the new domain coupled with the corresponding geometry-consistency constraint. The geometry-consistency constraint reduces the space of possible solutions while keep the correct solutions in the search space. Quantitative and qualitative comparisons with the baseline (GAN alone) and the state-of-the-art methods including CycleGAN [66] and Dis-tanceGAN [5] demonstrate the effectiveness of our method.

  • [hal-03132245] Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context

    Occlusion boundaries contain rich perceptual information about the underlying scene structure and provide important cues in many visual perception-related tasks such as object recognition, segmentation, motion estimation, scene understanding, and autonomous navigation. However, there is no formal definition of occlusion boundaries in the literature, and state-of-the-art occlusion boundary detection is still suboptimal. With this in mind, in this paper we propose a formal definition of occlusion boundaries for related studies. Further, based on a novel idea, we develop two concrete approaches with different characteristics to detect occlusion boundaries in video sequences via enhanced exploration of contextual information (e.g., local structural boundary patterns, observations from surrounding regions, and temporal context) with deep models and conditional random fields. Experimental evaluations of our methods on two challenging occlusion boundary benchmarks (CMU and VSB100) demonstrate that our detectors significantly outperform the current state-of-the-art. Finally, we empirically assess the roles of several important components of the proposed detectors to validate the rationale behind these approaches.

  • [hal-03132172] Compacted binary trees admit a stretched exponential

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  • [hal-03132149] Phase transitions from $\exp(n^{1/2})$ to $\exp(n^{2/3})$ in the asymptotics of banded plane partitions

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  • [hal-03131027] OrthoNet: Multilayer Network Data Clustering

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  • [hal-03128939] An O(n²) algorithm for time-bound adjustments for the cumulative scheduling problem

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  • [hal-03034652] Efficient and Lightweight Polynomial-based Key Management Scheme for Dynamic Networks

    Wireless sensor networks and Internet of Things (IoT) are part of dynamic networks as new nodes can join while existing members can leave the system at any time. These networks mainly suffer from severe resource constraints like energy, storage and computation, which makes securing communications between nodes a real challenge. Several key establishment protocols have been proposed in the literature. Some of them are based on symmetric polynomials. However, the latter solutions have some limitations, such as the resilience to node capture attacks as well as the storage and computation overheads that are high for constrained nodes. In this paper, we propose a lightweight polynomial-based key management scheme for dynamic networks. The proposed scheme allows nodes to be able to establish secure communications between them, and ensures dynamism by supporting node addition and deletion after the setup phase. It also resists to node capture attack. The performance evaluation shows that our scheme reduces both the storage and computation overheads when compared to other related polynomial-based protocols.

  • [hal-02564349] Convergence of constant step stochastic gradient descent for non-smooth non-convex functions

    This paper studies the asymptotic behavior of the constant step Stochastic Gradient Descent for the minimization of an unknown function F , defined as the expectation of a non convex, non smooth, locally Lipschitz random function. As the gradient may not exist, it is replaced by a certain operator: a reasonable choice is to use an element of the Clarke subdifferential of the random function; an other choice is the output of the celebrated backpropagation algorithm, which is popular amongst practionners, and whose properties have recently been studied by Bolte and Pauwels [7]. Since the expectation of the chosen operator is not in general an element of the Clarke subdifferential BF of the mean function, it has been assumed in the literature that an oracle of BF is available. As a first result, it is shown in this paper that such an oracle is not needed for almost all initialization points of the algorithm. Next, in the small step size regime, it is shown that the interpolated trajectory of the algorithm converges in probability (in the compact convergence sense) towards the set of solutions of the differential inclusion. Finally, viewing the iterates as a Markov chain whose transition kernel is indexed by the step size, it is shown that the invariant distribution of the kernel converge weakly to the set of invariant distribution of this differential inclusion as the step size tends to zero. These results show that when the step size is small, with large probability, the iterates eventually lie in a neighborhood of the critical points of the mean function F .

  • [hal-03121428] Quasi-regularity verification for 2D polygonal objects based on medial axis analysis

    Quasi-regularity has been proved to be a sufficient condition for simple-connectedness preservation during the digitization process of 2D continuous objects. The original definition of quasi-regularity relies on set-based morphological operations of erosion and dilation. With this definition, quasi-regularity is algorithmically difficult to assess. In this paper, we propose a tractable framework for quasi-regularity verification, especially designed for polygons. Our approach mainly relies on the computation and analysis of the medial axis of these objects, and determines their potential quasi-regularity, and thus their ability to undergo a digitization without alteration of their topological properties. The framework is applied in the context of topology-preserving rigid motions of digital objects.

  • [hal-03116273] Preface : Fixed Points in Computer Science (FICS) 2013

    This special issue of Fundemanta Informaticae contains revised and extended versions of contributions that were presented at the 6th edition of the workshop Fixed Points in Computer Science (FICS) 2013. The FICS 2013 workshop is was held on September 1st 2013 in Torino, as a satellite event ofthe EACSL Annual Conference on Computer Science Logic (CSL) 2013. Fixed points play a fundamental role in several areas of computer science. They are used tojustify (co)recursive definitions and associated reasoning techniques. The construction and properties of fixed points have been investigated in many different settings such as: design and implementationof programming languages, logics, verification, databases. The FICS workshop series aims to providea forum for researchers of the computer science and logic communities who study or apply the theoryof fixed points.The special issue presents 7 papers.

  • [hal-03115362] Component Tree Loss Function: Definition and Optimization

    In this article, we propose a method to design loss functions based on component trees which can be optimized by gradient descent algorithms and which are therefore usable in conjunction with recent machine learning approaches such as neural networks. We show how the altitudes associated to the nodes of such hierarchical image representations can be differentiated with respect to the image pixel values. This feature is used to design a generic loss function that can select or discard image maxima based on various attributes such as extinction values. The possibilities of the proposed method are demonstrated on simulated and real image filtering.

  • [hal-03113554] Ultrametric fitting by gradient descent

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  • [hal-03112500] Thinning Algorithms Classification

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  • [hal-03112278] Subcritical Random Hypergraphs, High-Order Components, and Hypertrees

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  • [hal-01745165] Concurrent computation of topological watershed on shared memory parallel machines

    The watershed transform is considered as the most appropriate method for image seg-mentation in the field of mathematical morphology. In the following paper, we present an adapted topological watershed algorithm suited for a rapid and effective implementation on Shared Memory Parallel Machine (SMPM). The introduced algorithm allows a parallel watershed computing while preserving the given topology. No prior minima extraction is needed, nor the use of any sorting step or hierarchical queue. The strategy that guides the parallel watershed computing, labeled SDM-Strategy (equivalent to Split-Distributes and Merge), is also presented. Experimental analyses such as execution time, performance enhancement , cache consumption, efficiency and scalability are also presented and discussed.

  • [hal-03111509] A minimal model for rotation invariant convolutional neural networks with angle prediction

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  • [hal-02543994] On the asymptotic behaviour of the eigenvalue distribution of block correlation matrices of high-dimensional time series

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  • [hal-03110182] Multi-Pedestrian Tracking on Crowded Scenes Using RGB Images

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  • [hal-03110175] Rotation Equivariant CNNs for Image Classification

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  • [hal-02495333] Sequence graphs realizations and ambiguity in language models

    Several natural language models rely on an assumption modeling each word context as a bag of words. We study the combinatorial implications of such assumption for the corresponding word or sentences representations. In particular , we present theoretical results concerning the family of sequence graphs, for which realizations yield equivalent representations given this assumption. Several combinatorial problems are presented, depending on three levels of generalisation (window size, graph orientation, and weights), and whether some of these are NP-complete is left opened. Based on these results, we also establish different algorithms, including a dynamic programming formulation, to count and explicit the different realizations of a sequence graph. This allows us to show that the bag of words assumption can induce an important number of sentences to have the same representations, even for relatively short context window sizes.

  • [hal-03108479] A New Modelling Framework for Coarse-Grained Programmable Architectures

    Coarse-grained reconfigurable architectures (CGRA) are designed to deliver high-performance computing while drastically reducing the latency of the computing system. Although they are often highly domain-specifically optimized, they keep several levels of flexibility so that they can be reused. However, their reuse is generally limited due to the complexity of identifying the best allocation of new tasks into the hardware resources. Another limiting point is the complexity to produce a reliable performance analysis for each new implementation. To solve this problem, we propose to consider CGRA as a programmable, configuration-driven computing fabric, called Coarse-Grained Programmable Architecture (CGPA). We propose a new latency-based model to describe all hardware elements. We demonstrate how to implicitly model, with the help of latency's prediction, the heterogeneity of their material implementations. Our model provides the possibility to assess also the configuration cost, often neglected in other works. The design of the modelling framework allows it to become a part of a complete application mapping and scheduling chain, up to the automated generation of the execution context, thus maximizing the reusability of the given CGPA.

  • [hal-03108451] Modelling and Mapping Framework for Coarse-GrainedProgrammable Architectures

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  • [hal-03106734] Rotation Invariant Networks for Image Classification for HPC and Embedded Systems

    Convolutional Neural Network (CNNs) models’ size reduction has recently gained interest due to several advantages: energy cost reduction, embedded devices, and multi-core interfaces. One possible way to achieve model reduction is the usage of Rotation-invariant Convolutional Neural Networks because of the possibility of avoiding data augmentation techniques. In this work, we present the next step to obtain a general solution to endowing CNN architectures with the capability of classifying rotated objects and predicting the rotation angle without data-augmentation techniques. The principle consists of the concatenation of a representation mapping transforming rotation to translation and a shared weights predictor. This solution has the advantage of admitting different combinations of various basic, existing blocks. We present results obtained using a Gabor-filter bank and a ResNet feature backbone compared to previous other solutions. We also present the possibility to select between parallelizing the network in several threads for energy-aware High Performance Computing (HPC) applications or reducing the memory footprint for embedded systems. We obtain a competitive error rate on classifying rotated MNIST and outperform existing state-of-the-art results on CIFAR-10 when trained on up-right examples and validated on random orientations.

  • [hal-03106592] Efficient graphical-processor-unit parallelization algorithm for computing Eigen values

    Several leading-edge applications such as pathology detection, biometric identification and face recognition are mainly based on blob and line detection. To address this problem, the Eigen value computing has been commonly employed due to its accuracy and robustness. However, the Eigen value computing requires a raised computational processing, an intensive memory data access and a data overlapping which involve higher execution times. To overcome these limitations, we propose in this paper a new parallel strategy to implement the Eigen value computing using a GPU. Our contributions are: (1) to optimize instruction scheduling in order to reduce the computation time, (2) to efficiently partition processing into blocks in order to increase the occupancy of streaming multiprocessors, (3) to provide efficient input data splitting on shared memory to take benefit from its lower access time, (4) and to propose new data management of shared memory so as to avoid access memory conflict and reduce memory bank accesses. Experimental results show that our proposed GPU parallel strategy for Eigen value computing achieves speedups of 27 compared to a multithreaded implementation, of 16 compared to a predefined function in the OpenCV library, and of 8 compared to a predefined function in the Cublas library, which are performed into a quad core multi-CPU platform. Next, our parallel strategy is evaluated through an Eigen value based method for retinal thick vessel segmentation which is essential for detecting ocular pathologies. The Eigen value computing is executed in 0.017 seconds, when using STARE database images. Accordingly, we have achieved real-time thick retinal vessel segmentation where average execution time is about 0.039 seconds.

  • [hal-03105751] Rethinking Interactive Image Segmentation: Feature Space Annotation

    Despite the progress of interactive image segmentation methods, high-quality pixel-level annotation is still time-consuming and laborious --- a bottleneck for several deep learning applications. We take a step back to propose interactive and simultaneous segment annotation from multiple images guided by feature space projection and optimized by metric learning as the labeling progresses. This strategy is in stark contrast to existing interactive segmentation methodologies, which perform annotation in the image domain. We show that our approach can surpass the accuracy of state-of-the-art methods in foreground segmentation datasets: iCoSeg, DAVIS, and Rooftop. Moreover, it achieves 91.5\% accuracy in a known semantic segmentation dataset, Cityscapes, being 74.75 times faster than the original annotation procedure. The appendix presents additional qualitative results. Code and video demonstration will be released upon publication.

  • [hal-03096130] Robust multimodal biometric authentication on IoT device through ear shape and arm gesture

    Nowadays, authentication is required for both physical access to buildings and internal access to computers and systems. Biometrics are one of the emerging technologies used to protect these highly sensitive structures. However, biometric systems based on a single trait enclose several problems such as noise sensitivity and vulnerability to spoof attacks. In this regard, we present in this paper a fully unobtrusive and robust multimodal authentication system that automatically authenticates a user by the way he/she answers his/her phone, after extracting ear and arm gesture biometric modalities from this single action. To deal the challenges facing ear and arm gesture authentication systems in real-world applications, we propose a new method based on image fragmentation that makes the ear recognition more robust in relation to occlusion. The ear feature extraction process has been made locally using Local Phase Quantization (LPQ) in order to get robustness with respect to pose and illumination variation. We also propose a set of four statistical metrics to extract features from arm gesture signals. The two modalities are combined on score-level using a weighted sum. In order to evaluate our contribution, we conducted a set of experiments to demonstrate the contribution of each of the two biometrics and the advantage of their fusion on the overall performance of the system. The multimodal biometric system achieves an equal error rate (EER) of 5.15%.

  • [hal-02093170] Positive solutions for large random linear systems

    Consider a large linear system where $A_n$ is a $n\times n$ matrix with independent real standard Gaussian entries, $\boldsymbol{1}_n$ is a $n\times 1$ vector of ones and with unknown the $n\times 1$ vector $\boldsymbol{x}_n$ satisfying $$ \boldsymbol{x}_n = \boldsymbol{1}_n +\frac 1{\alpha_n\sqrt{n}} A_n \boldsymbol{x}_n\, . $$ We investigate the (componentwise) positivity of the solution $\boldsymbol{x}_n$ depending on the scaling factor $\alpha_n$ as the dimension $n$ goes to $\infty$. We prove that there is a sharp phase transition at the threshold $\alpha^*_n =\sqrt{2\log n}$: below the threshold ($\alpha_n\ll \sqrt{2\log n}$), $\boldsymbol{x}_n$ has negative components with probability tending to 1 while above ($\alpha_n\gg \sqrt{2\log n}$), all the vector's components are eventually positive with probability tending to 1. At the critical scaling $\alpha^*_n$, we provide a heuristics to evaluate the probability that $\boldsymbol{x}_n$ is positive. Such linear systems arise as solutions at equilibrium of large Lotka-Volterra systems of differential equations, widely used to describe large biological communities with interactions such as foodwebs for instance. In the domaine of positivity of the solution $\boldsymbol{x}_n$, that is when $\alpha_n\gg \sqrt{2\log n}$, we establish that the Lotka-Volterra system of differential equations whose solution at equilibrium is precisely $\x_n$ is stable in the sense that its jacobian $$ {\mathcal J}(\boldsymbol{x}_n) = \mathrm{diag}(\boldsymbol{x}_n)\left(-I_n + \frac {A_n}{\alpha_n\sqrt{n}}\right) $$ has all its eigenvalues with negative real part with probability tending to one. Our results shed a new light and complement the understanding of feasibility and stability issues for large biological communities with interaction.

  • [hal-03093082] Positive Solutions for Large Random Linear Systems

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  • [hal-03095169] Non-Hermitian random matrices with a variance profile (II): properties and examples

    For each $n$, let $A_n=(\sigma_{ij})$ be an $n\times n$ deterministic matrix and let $X_n=(X_{ij})$ be an $n\times n$ random matrix with i.i.d.\ centered entries of unit variance. In the companion article \cite{cook2018non}, we considered the empirical spectral distribution $\mu_n^Y$ of the rescaled entry-wise product \[ Y_n = \frac 1{\sqrt{n}} A_n\odot X_n = \left(\frac1{\sqrt{n}} \sigma_{ij}X_{ij}\right) \] and provided a deterministic sequence of probability measures $\mu_n$ such that the difference $\mu^Y_n - \mu_n$ converges weakly in probability to the zero measure. A key feature in \cite{cook2018non} was to allow some of the entries $\sigma_{ij}$ to vanish, provided that the standard deviation profiles $A_n$ satisfy a certain quantitative irreducibility property. In the present article, we provide more information on the sequence $(\mu_n)$, described by a family of \emph{Master Equations}. We consider these equations in important special cases %such as separable variance profiles $\sigma^2_{ij}=d_i \widetilde d_j$ and such as sampled variance profiles $\sigma^2_{ij} = \sigma^2\left(\frac in, \frac jn \right)$ where $(x,y)\mapsto \sigma^2(x,y)$ is a given function on $[0,1]^2$. Associated examples are provided where $\mu_n^Y$ converges to a genuine limit. We study $\mu_n$'s behavior at zero. % and provide examples where $\mu_n$'s density is bounded, blows up, or vanishes while an atom appears. As a consequence, we identify the profiles that yield the circular law. Finally, building upon recent results from Alt et al. \cite{alt2018local,alt2019location}, we prove that, except possibly at the origin, $\mu_n$ admits a positive density on the centered disc of radius $\sqrt{\rho(V_

  • [hal-03094736] Accurate Strategy for Mixed Criticality Scheduling

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  • [hal-01701455] Unbounded Largest Eigenvalue of Large Sample Covariance Matrices: Asymptotics, Fluctuations and Applications

    Given a large sample covariance matrix $ S_N=\frac 1n\Gamma_N^{1/2}Z_N Z_N^*\Gamma_N^{1/2}\, , $ where $Z_N$ is a $N\times n$ matrix with i.i.d. centered entries, and $\Gamma_N$ is a $N\times N$ deterministic Hermitian positive semidefinite matrix, we study the location and fluctuations of $\lambda_{\max}(S_N)$, the largest eigenvalue of $S_N$ as $N,n\to\infty$ and $Nn^{-1} \to r\in(0,\infty)$ in the case where the empirical distribution $\mu^{\Gamma_N}$ of eigenvalues of $\Gamma_N$ is tight (in $N$) and $\lambda_{\max}(\Gamma_N)$ goes to $+\infty$. These conditions are in particular met when $\mu^{\Gamma_N}$ weakly converges to a probability measure with unbounded support on $\mathbb{R}^+$. We prove that asymptotically $\lambda_{\max}(S_N)\sim \lambda_{\max}(\Gamma_N)$. Moreover when the $\Gamma_N$'s are block-diagonal, and the following {\em spectral gap condition} is assumed: $$ \limsup_{N\to\infty} \frac{\lambda_2(\Gamma_N)}{\lambda_{\max}(\Gamma_N)}<1, $$ where $\lambda_2(\Gamma_N)$ is the second largest eigenvalue of $\Gamma_N$, we prove Gaussian fluctuations for $\lambda_{\max}(S_N)/\lambda_{\max}(\Gamma_N)$ at the scale $\sqrt{n}$. In the particular case where $Z_N$ has i.i.d. Gaussian entries and $\Gamma_N$ is the $N\times N$ autocovariance matrix of a long memory Gaussian stationary process $({\mathcal X}_t)_{t\in\mathbb{Z}}$, the columns of $\Gamma_N^{1/2} Z_N$ can be considered as $n$ i.i.d. samples of the random vector $({\mathcal X}_1,\dots,{\mathcal X}_N)^\tran$. We then prove that $\Gamma_N$ is similar to a diagonal matrix which satisfies all the required assumptions of our theorems, hence our results apply to this case.

  • [hal-03092473] A New Collaborative Clustering Approach for the Internet of Vehicles (CCA-IoV)

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  • [hal-03091938] Toward an approach for securing IMS signaling and media planes

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  • [hal-03091925] An efficient biometric-based continuous authentication scheme with HMM prehensile movements modeling

    Biometric is an emerging technique for user authentication thanks to its efficiency compared to the traditional methods, such as passwords and access-cards. However, most existing biometric authentication systems require the cooperation of users and provide only a login time authentication. To address these drawbacks, we propose in this paper a new, efficient continuous authentication scheme based on the newly biometric trait that still under development: prehensile movements. In this work, we model the movements through Hidden Markov Model-Universal Background Model (HMM-UBM) with continuous observations based on Gaussian Mixture Model (GMM). Unlike the literature, the gravity signal is included. The results of the experiments conducted on a public database HMOG and on a proprietary database, collected under uncontrolled conditions, have shown that prehensile movements are very promising. This new biometric feature will allow users to be authenticated continuously, passively and in real time.

  • [hal-03091920] Impact of Mobility Models on Energy Consumption in Unmanned Aerial Ad-Hoc Network

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  • [hal-02994752] Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes

    Topology preservation is a property of rigid motions in ${\mathbb R^2}$, but not in $\mathbb Z^2$. In this article, given a binary object $\mathsf X \subset \mathbb Z^2$ and a rational rigid motion ${\mathcal R}$, we propose a method for building a binary object $\mathsf X_{\mathcal R} \subset \mathbb Z^2$ resulting from the application of ${\mathcal R}$ on a binary object $\mathsf X$. Our purpose is to preserve the homotopy-type between $\mathsf X$ and $\mathsf X_{\mathcal R}$. To this end, we formulate the construction of $\mathsf X_{\mathcal R}$ from $\mathsf X$ as an optimization problem in the space of cellular complexes with the notion of collapse on complexes. More precisely, we define a cellular space $\mathbb H$ by superimposition of two cubical spaces $\mathbb F$ and $\mathbb G$ corresponding to the canonical Cartesian grid of $\mathbb Z^2$ where $\mathsf X$ is defined, and the Cartesian grid induced by the rigid motion ${\mathcal R}$, respectively. The object $\mathsf X_{\mathcal R}$ is then computed by building a homotopic transformation within the space $\mathbb H$, starting from the cubical complex in $\mathbb G$ resulting from the rigid motion of $\mathsf X$ with respect to ${\mathcal R}$ and ending at a complex fitting $\mathsf X_{\mathcal R}$ in $\mathbb F$ that can be embedded back into $\mathbb Z^2$.

  • [hal-03086034] CHEARP: Chord-based Hierarchical Energy-Aware Routing Protocol for Wireless Sensor Networks

    Wireless Sensor networks (WSNs) are mostly deployed in hostile en- vironments, where nodes may do not have any information about their location. Hence, the designed routing protocols and applications have to function indepen- dently from the nodes location. Moreover, extending lifetime in such networks is a critical and challenging issue, since they consist of miniaturized energy-constrained devices. The motivation of this paper is to design an energy efficient location- independent routing protocol for data delivery in WSNs. Therefore, a Chord-based Hierarchical Energy-Aware Routing Protocol (CHEARP) is developed with the fo- cus on preserving the energy consumption. In contrary to the existing DHT-based protocols that interconnect nodes independently of their physical proximity, this pa- per proposes an approximate logical structure to the physical one, where the aim is to minimize the average paths’ length. Simulation results show that the proposed solution reduces the transmission Load, minimizes the transmission delay, and ex- tends the network longevity.

  • [hal-02955867] Normalisation of 16th and 17th century texts in French and geographical named entity recognition

    Both statistical and rule-based methods for named entity recognition are quite sensitive to the type of language used in the analysed texts. Former studies have shown for example that it was harder to detect named entities in SMS or microblog messages where words are abridged or changed to lowercase. In this article, we focus on old French texts to evaluate the impact of manual and automatic normalization before applying five geographical named entity recognition tools, as well as an improved version of one of them, in order to help building maps displaying the locations mentioned in ancient texts. Our results show that manual normalisation leads to better results for all methods and that automatic normalisation performs differently depending on the tool used to extract geographical named entities, but with a significant improvement on most methods.

  • [hal-03066187] SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems

    This work proposes a supervised multi-channel time-series learning framework for financial stock trading. Although many deep learning models have recently been proposed in this domain, most of them treat the stock trading time-series data as 2-D image data, whereas its true nature is 1-D time-series data. Since the stock trading systems are multi-channel data, many existing techniques treating them as 1-D time-series data are not suggestive of any technique to effectively fusion the information carried by the multiple channels. To contribute towards both of these shortcomings, we propose an end-to-end supervised learning framework inspired by the previously established (unsupervised) convolution transform learning framework. Our approach consists of processing the data channels through separate 1-D convolution layers, then fusing the outputs with a series of fully-connected layers, and finally applying a softmax classification layer. The peculiarity of our framework, that we call SuperDeConFuse (SDCF), is that we remove the nonlinear activation located between the multi-channel convolution layers and the fully-connected layers, as well as the one located between the latter and the output layer. We compensate for this removal by introducing a suitable regularization on the aforementioned layer outputs and filters during the training phase. Specifically, we apply a logarithm determinant regularization on the layer filters to break symmetry and force diversity in the learnt transforms, whereas we enforce the non-negativity constraint on the layer outputs to mitigate the issue of dead neurons. This results in the effective learning of a richer set of features and filters with respect to a standard convolutional neural network. Numerical experiments confirm that the proposed model yields considerably better results than state-of-the-art deep learning techniques for the real-world problem of stock trading.

  • [hal-03066160] Deeply Transformed Subspace Clustering

    Subspace clustering assumes that the data is separable into separate subspaces; this assumption may not always hold. For such cases, we assume that, even if the raw data is not separable into subspaces, one can learn a deep representation such that the learnt representation is separable into subspaces. To achieve the intended goal, we embed subspace clustering techniques (locally linear manifold clustering, sparse subspace clustering and low rank representation) into deep transform learning. The entire formulation is jointly learnt; giving rise to a new class of methods called deeply transformed subspace clustering (DTSC). To test the performance of the proposed techniques, benchmarking is performed on image clustering problems. Comparison with state-of-the-art clustering techniques shows that our formulation improves upon them.


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

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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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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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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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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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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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