Publications

• Article dans une revue

Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms

Mads Jochumsen, Cecilie Rovsing, Helene Rovsing, Sylvain Cremoux, Nada Signal, Kathryn Allen, Denise Taylor, Imran K. Niazi

The ability to learn motor tasks is important in both healthy and pathological conditions. Measurement tools commonly used to quantify the neurophysiological changes associated with motor training such as transcranial magnetic stimulation and functional magnetic resonance imaging pose some…

Frontiers in Human Neuroscience, 2017, 11, pp.604. ⟨10.3389/fnhum.2017.00604⟩. ⟨hal-02342023⟩

• Article dans une revue

New use of the HITS algorithm for fast web page classification

Mohamed Nadjib Meadi, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

The immense number of documents published on the web requires the utilization of automatic classifiers that allow organizing and obtaining information from these large resources. Typically, automatic web pages classifiers handle millions of web pages, tens of thousands of features, and hundreds of…

Turkish Journal of Electrical Engineering and Computer Sciences, 2017, 25 (3), pp.2015-2032. ⟨10.3906/ELK-1501-236⟩. ⟨hal-03428798⟩

• Article dans une revue

Sensing user context and habits for run-time energy optimization

Ismat Chaib Draa, Smail Niar, Jamel Tayeb, Emmanuelle Grislin-Le Strugeon, Mikael Desertot

Optimizing energy consumption in modern mobile handheld devices plays a very important role as lowering energy consumption impacts battery life and system reliability. With next-generation smartphones and tablets, the number of sensors and communication tools will increase and more and more…

EURASIP Journal on Embedded Systems, 2017, 2017, pp.4. ⟨10.1186/s13639-016-0036-8⟩. ⟨hal-03401216⟩

• Article dans une revue

Modeling and PDC fuzzy control of planar parallel robot: A differential– algebraic equations approach

Benyamine Allouche, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

Many works in the literature have studied the kinematical and dynamical issues of parallel robots. But it is still difficult to extend the vast control strategies to parallel mechanisms due to the complexity of the model-based control. This complexity is mainly caused by the presence of multiple…

International Journal of Advanced Robotic Systems, 2017, 14 (1), pp.172988141668711. ⟨10.1177/1729881416687112⟩. ⟨hal-03429415⟩

• Communication dans un congrès

Quantitative analysis of galling in cold forging of a commercial Al-Mg-Si alloy

Kevin Le Mercier, Mirentxu Dubar, Katia Mocellin, André Dubois, Laurent Dubar

Multiple upsetting-sliding tests are performed at sliding velocities in the range of 20-200 mm.s-1 and at different plastic deformations to reproduce the local contact conditions experienced at the tool/workpiece interface during cold forging of a 6082 aluminium alloy. An original approach, able to…

International Conference on the Technology of Plasticity, ICTP 2017, Sep 2017, Cambridge, United Kingdom. pp.2298 - 2303, ⟨10.1016/j.proeng.2017.10.998⟩. ⟨hal-01667931⟩

• Communication dans un congrès

Apport des systèmes multi-agents à l'interaction tangible sur table interactive RFID

Christophe Kolski, Emmanuel Adam, Sophie Lepreux, Yoann Lebrun, René Mandiau

Journée Interaction Homme-Machine et Intelligence Artificielle, Mar 2017, Paris, France. ⟨hal-03388956⟩

• Communication dans un congrès

Homogénéité des surfaces de pièces obtenues par Fabrication Additive

Valentin Larivière, Raphaël Deltombe, Alex Montagne, Guillaume Vansteenkiste, Maxence Bigerelle

La fabrication additive par fusion d'un lit de poudre fait partie des technologies prometteuses dans le domaine de l'impression 3D. Appliquée aux matériaux métalliques, elle se présente comme une technologie de rupture pour l'industrie. Cependant, l'état de surface des pièces…

CFM 2017 - 23ème Congrès Français de Mécanique, Aug 2017, Lille, France. ⟨hal-03465682⟩

• Article dans une revue

Fast binary support vector machine learning method by samples reduction

Abdelhamid Djeffal, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

Support vector machine is a well-known method of statistical learning by its good accuracy; however, its training time is very poor especially in case of huge databases. Many research works aim to reduce training samples to improve training time without significant loss in accuracy. In this paper,…

International Journal of Data Mining, Modelling and Management, 2017, 9 (1), pp.1-16. ⟨10.1504/IJDMMM.2017.082555⟩. ⟨hal-03429978⟩

• Article dans une revue

Iterative aggregation and disaggregation algorithm for pseudo-polynomial network flow models with side constraints

François Clautiaux, Said Hanafi, Rita Macedo, Marie-Emilie Voge, Cláudio Alves

This paper develops a general solution framework based on aggregation techniques to solve NP-Hard problems that can be formulated as a circulation model with specific side constraints. The size of the extended Mixed Integer Linear Programming formulation is generally pseudo-polynomial. To…

European Journal of Operational Research, 2017, 258, pp.467 - 477. ⟨10.1016/j.ejor.2016.09.051⟩. ⟨hal-01410170v2⟩

• Article dans une revue

Passive control of deep cavity shear layer flow at subsonic speed

Mouhammad El Hassan, Laurent Keirsbulck

Passive control of the flow over a deep cavity at low subsonic velocity is considered in the present paper. The cavity length-to-depth aspect ratio is L/H = 0.2. particle image velocimetry (PIV) measurements characterized the flow over the cavity and show the influence of the control method on the…, Nous prenons ici en considération le contrôle passif d’un écoulement à faible vitesse subsonique sur une cavité. Le rapport longueur à profondeur de la cavité est L/H = 0.2. Les mesures de vélocimétrie par image de particule caractérisent l’écoulement au dessus de la cavité et montrent l’influence…

Canadian Journal of Physics, 2017, 95 (10), pp.894-899. ⟨10.1139/cjp-2016-0822⟩. ⟨hal-03451798⟩