Publicaciones

Tipo de Documento

Palabras clave

Autor

De

Au

Affichage de 2211 à 2220 sur 5569

Communication dans un congrès

Functional and Corticomuscular Changes Associated with Early Phase of Motor Training

Sylvain Cremoux, Dimitri Elie, Cecilie Rovsing, Helene Rovsing, Mads Jochumsen, Heidi Haavik, Imran K. Niazi

This study aimed to evaluate the corticomuscular changes associated with motor training. We quantified functional and corticomuscular changes during a four-days motor training. Results revealed better functional performance and increased magnitude of corticomuscular coherence in the 8–13 Hz...

4th International Conference on NeuroRehabilitation, Oct 2018, Pisa, Italy. ⟨10.1007/978-3-030-01845-0_151⟩. ⟨hal-03462927⟩

Communication dans un congrès

LMI-based 2-DoF control design of a manipulator via T-S descriptor approach

van Anh Nguyen Thi, Tran Anh-Tu Nguyen, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

This paper presents a method for the control design of a manipulator. The design goal is to achieve a guaranteed H∞ model reference tracking performance with respect to bounded reference inputs through a 2-DoF control scheme. To achieve this goal, the manipulator system is represented by a Takagi-...

12th IFAC SYMPOSIUM ON ROBOT CONTROL (SYROCO 2018), Aug 2020, Budapest, Hungary. pp.102-107, ⟨10.1016/j.ifacol.2018.11.525⟩. ⟨hal-03409259⟩

Article dans une revue

Local stabilization of discrete-time TS descriptor systems

Zsofia Lendek, Gábor Nagy, Jimmy Lauber

Descriptor models are naturally obtained from the Euler–Lagrange modeling approach to mechanical systems. Since the underlying system is nonlinear, global stabilization and/or tracking is possible only in a limited number of cases. Therefore, we develop conditions for local stabilization and...

Engineering Applications of Artificial Intelligence, 2018, 67, pp.409-418. ⟨10.1016/j.engappai.2017.09.006⟩. ⟨hal-03428157⟩

Article dans une revue

Computational fluid dynamical analysis of new obstacle design and its impact on the heat transfer enhancement in a specific type of air flow geometry

Younes Menni, Ahmed Azzi, Faouzi Didi, Souad Harmand

The present work focuses on the study of an interesting topic from different points of view, that is, theoretical, practical, and numerical modeling. This study aims to improve the heat transfer within thermal devices like heat exchangers, solar air collectors, and other electronic equipment; these...

Computational Thermal Sciences: An International Journal, 2018, 10 (5), pp.421-447. ⟨10.1615/ComputThermalScien.2018024416⟩. ⟨hal-03450799⟩

Communication dans un congrès

Current Signal Analysis of an Induction Machine with a Defective Rolling Bearing

Aroua Fourati, Adeline Bourdon, Didier Remond, Nabih Feki, Fakher Chaari, Mohamed Haddar

With the ultimate goal of rotating machinery diagnosis using Motor Current Signal Analysis (MCSA), this paper provides a coupled electro-magnetic-mechanical model of a rotating shaft supported by rolling bearings and driven by a three-phase squirreled cage motor. The modeling is based on the...

ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, CMMNO 2016, Sep 2016, HEIDELBERGER PLATZ 3, D-14197 BERLIN, Germany. pp.43-U63, ⟨10.1007/978-3-319-61927-9\_5⟩. ⟨hal-04670507⟩

Article dans une revue

An Embedded Multi-Sensor Data Fusion Design for Vehicle Perception Tasks

Mokhtar Bouain, Karim Mohamed Abedallah Ali, Denis Berdjag, Nizar Fakhfakh, Rabie Ben Atitallah

Nowadays, multi-sensor architectures are popular to provide a better understanding of environment perception for intelligent vehicles. Using multiple sensors to deal with perception tasks in a rich environment is a natural solution. Most of the research works have focused on PC-based...

Journal of Communications, 2018, 13 (1), pp.8-14. ⟨10.12720/jcm.13.1.8-14⟩. ⟨hal-03400988⟩

Article dans une revue

Adaptive layout for operating theatre in hospitals: different mathematical models for optimal layouts

Abdelahad Chraibi, Said Kharraja, Ibrahim H. Osman

The adaptive layout for operating theatre (ALOT) problem in hospitals seeks to determine the ‘most efficient’ layout placement of a set of health-care operating facilities, corridors and elevators in a designated area subject to a set of constraints on professional standards. Such standards include...

Annals of Operations Research, 2018, 272 (1-2), pp.493-527. ⟨10.1007/s10479-018-2799-x⟩. ⟨hal-03400636⟩

Communication dans un congrès

LIDAR and Stereo-Camera fusion for reliable Road Extraction

Mohammed Yazid Lachachi, Mohamed Ouslim, Abdelmalik Taleb-Ahmed, Smail Niar

his paper presents a novel approach that combines LIDAR and Stereo-cameras. First, a stereo camera is used to guide the extraction of road surface points from a 3D point cloud obtained by a LIDAR. Then, the number of points is reduced based on their elevation and illumination invariant colors....

2018 30th International Conference on Microelectronics (ICM), Dec 2018, Sousse, Tunisia. pp.64-67, ⟨10.1109/ICM.2018.8704114⟩. ⟨hal-03382394⟩

Communication dans un congrès

CFD characterization of a wet foam flow rheological behavior

Heni Dallagi, Ramla Gheith, Ahmad Al Saabi, Christine Faille, Wolfgang Augustin, Thierry Benezech, Fethi Aloui

In some industrial processes, aqueous foams flow presents an important phase of the process, whereas, they cause pressure drop when designing and dimensioning systems. Identifying the different rheological parameters of foam flow is an interest key to understanding the interfacial phenomena....

ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, Jul 2018, Montréal, Canada. ⟨10.1115/FEDSM2018-83338⟩. ⟨hal-02008733⟩

Communication dans un congrès

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker

Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation. In contrast to the existing methods which optimize only for joint positions, we propose a fully supervised deep network which learns to jointly estimate a full...

2018 International Conference on 3D Vision (3DV), Sep 2018, Vérone, Italy. pp.110-119, ⟨10.1109/3DV.2018.00023⟩. ⟨hal-03383020⟩