Publicaciones

• Communication dans un congrès

Execution Time Modeling for CNN Inference on Embedded GPUs

Noureddine Bouhali, Hamza Ouarnoughi, Smail Niar, Abdessamad Ait El Cadi

Machine learning is one of the most cutting edge methods in computer vision. Convolutional Neural Networks (CNN) in particular are widely used in edge computing based applications such as autonomous driving for image recognition or object tracking. Different constraints exist in this application...

DroneSE and RAPIDO '21: Methods and Tools, Jan 2021, Budapest, Hungary. pp.59-65, ⟨10.1145/3444950.3447284⟩. ⟨hal-03381837⟩

• Article dans une revue

The Effects of Spinal Manipulation on Motor Unit Behavior

Lucien Robinault, Aleš Holobar, Sylvain Cremoux, Usman Rashid, Imran Khan Niazi, Kelly Holt, Jimmy Lauber, Heidi Haavik

Over recent years, a growing body of research has highlighted the neural plastic effects of spinal manipulation on the central nervous system. Recently, it has been shown that spinal manipulation improved outcomes, such as maximum voluntary force and limb joint position sense, reflecting improved...

Brain Sciences, 2021, 11 (1), pp.105. ⟨10.3390/brainsci11010105⟩. ⟨hal-03424918⟩

• Chapitre d'ouvrage

Composition of User Interfaces

Sophie Lepreux, Philippe Renevier

J. Vanderdonckt. Handbook of Human Computer Interaction, Springer, 2021, 978-3-319-27648-9. ⟨hal-03382195⟩

• Communication dans un congrès

Current situation of light metal manufacturing in Europe

Laurent Dubar, Mirentxu Dubar, André Dubois

1st GRGLMM International Symposium, Jan 2021, Toyama (Virtual Event), Japan. ⟨hal-03432788⟩

• Article dans une revue

Contribution of the sensory innervation of the spine in low back pain: review and clinical commentary

Frédéric Viseux, Annarita Mora, Philippe Villeneuve, Pascal Charpentier, Daniel Fernandes Martins, Antoine Lemaire

Few validated tests allow a precise aetiological diagnosis of Low Back Pain (LBP), and the difficulty of clinical evaluations could be one of the reasons to explain the lack of effectiveness in the therapeutic management of chronic LBP. However, an implication of a sensory impairment in the control...

Somatosensory and Motor Research, 2021, 38 (1), pp.27-33. ⟨10.1080/08990220.2020.1840344⟩. ⟨hal-03463944⟩

• Article dans une revue

Numerical modeling of beam structures using a reduced integration peridynamic Timoshenko model

Ruqing Bai, Hakim Naceur, Abdel Laksimi

Computational Particle Mechanics, In press. ⟨hal-03442207⟩

• Communication dans un congrès

Une étude systématique pour la conception d'un système d'aide à la communication pour les personnes atteintes de la Maladie de Parkinson

Yohan Guerrier, Káthia Marçal de Oliveira, Christophe Kolski, Sophie Lepreux, Kodzo Apedo, Véronique Delcroix, Houcine Ezzedine

Le développement d'un système d'information nécessite toujours de prendre plusieurs décisions sur les méthodologies et les technologies à utiliser avant de commencer les travaux. Cette situation est encore plus difficile lorsque les utilisateurs sont des personnes en situation de handicap..., The development of an information system always requires several decisions on the methodologies and technologies to be used before starting the work. This situation is even more difficult when the users are people with a disability, due to the fact they are not always available and that human-...

39ème Congrès INFORSID, INFormatique des Organisations et Systèmes d'Information et de Décision, Jun 2021, Dijon, France. pp.71-86. ⟨hal-03384799⟩

• Article dans une revue

Avoiding Unmeasured Premise Variables in Designing Unknown Input Observers for Takagi–Sugeno Fuzzy Systems

Tran Anh-Tu Nguyen, Juntao Pan, Thierry-Marie Guerra, Zhenhua Wang

This letter investigates the design of unknown input (UI) observers for a large class of nonlinear systems using Takagi-Sugeno (TS) fuzzy modeling. To avoid the well-known issue on the unmeasured premise variables in fuzzy observer design, we reformulate the nonlinear systems in a TS fuzzy form...

IEEE Control Systems Letters, 2021, 5 (1), pp.79-84. ⟨10.1109/LCSYS.2020.2999028⟩. ⟨hal-04307203⟩

• Article dans une revue

Self adaptive learning scheme for early diagnosis of simple and multiple switch faults in multicellular power converters

Houari Toubakh, Moamar Sayed-Mouchaweh, Mohammed Benmiloud, Michael Defoort, Mohamed Djemai

This paper proposes a scheme based on the use of unsupervised machine learning approach and a drift detection mechanism in order to perform an early fault diagnosis of simple and multiple stuck-opened/stuck-closed switches in multicellular converters. Only the data samples representing the normal...

ISA Transactions, 2021, 113, pp.222-231. ⟨10.1016/j.isatra.2020.03.025⟩. ⟨hal-03225092⟩

• Communication dans un congrès

De l'Utilisation des Métagraphes pour la Vérification de Politiques de Sécurité

Loïc Miller, Pascal Mérindol, Antoine Gallais, Cristel Pelsser

Les processus métier multi-agents aux interactions complexes sont généralement modélisés en tant que workflows. Le propriétaire des données confidentielles interagit avec des sous-traitants pour réaliser une séquence de tâches, en déléguant aux différents acteurs des droits limités sur les données...

ALGOTEL 2021 — 23èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, 2021, La Rochelle, France. ⟨hal-03220092⟩