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Article dans une revue

Influence des chaussures minimalistes sur le risque de blessures de sur-sollicitation du membre inférieur chez l'enfant, Influence of minimalist shoes on lower-limb overuse injuries risk in children

Alexis Herbaut, M. Roux, N. Gueguen, Franck Barbier, Emilie Simoneau-Buessinger, Pascale Chavet, M. Rozenblat

Objectifs: L’objectif de cette revue était d’examiner, chez les enfants, l’influence des chaussures minimalistes sur la biomécanique de course et d’établir une analyse théorique de l’influence de ce type de chaussure sur le risque de blessure. Actualités: Entre 8 et 15 ans, les stress répétés…, Objective: The objective of this review was to examine the influence of minimalist shoes on the running biomechanics of children and to establish a theoretical analysis of the influence of this type of shoes on the injury risk. News: Between 8 and 15 years old, repeated stress induced by the…

Science & Sports, 2017, 32 (3), pp.119-128. ⟨10.1016/j.scispo.2016.07.010⟩. ⟨hal-01691134⟩

Article dans une revue

Effect of training status on beta-range corticomuscular coherence in agonist vs. antagonist muscles during isometric knee contractions

Fabien Dal Maso, Marieke Longcamp, Sylvain Cremoux, David Amarantini

Antagonist muscle co-activation is thought to be partially regulated by cortical influences, but direct motor cortex involvement is not fully understood. Corticomuscular coherence (CMC) measures direct functional coupling of the motor cortex and muscles. As antagonist co-activation differs…

Experimental Brain Research, 2017, 235 (10), pp.3023-3031. ⟨10.1007/s00221-017-5035-z⟩. ⟨hal-02342005⟩

Article dans une revue

Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset

Matias Martinez, Thomas Durieux, Romain Sommerard, Jifeng Xuan, Martin Monperrus

Defects4J is a large, peer-reviewed, structured dataset of real-world Java bugs. Each bug in Defects4J comes with a test suite and at least one failing test case that triggers the bug. In this paper, we report on an experiment to explore the effectiveness of automatic test-suite based repair on…

Empirical Software Engineering, 2017, 22 (4), pp.1936-1964. ⟨10.1007/s10664-016-9470-4⟩. ⟨hal-01387556⟩

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⟩

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

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⟩