Publications

• Article dans une revue

Decentralization of Interval Observers for Robust Controlling and Monitoring a Class of Nonlinear Systems

Thach Ngoc Dinh, Hiroshi Ito

This paper tackles the problem of decentralizing interval observers for robust controlling and monitoring a class of nonlinear systems. The observer-based output feedback system considered in this paper is very different from classical systems in that an observer-type system is constructed not only…

SICE Journal of Control, Measurement, and System Integration, 2017, 10 (2), pp.117-123. ⟨10.9746/jcmsi.10.117⟩. ⟨hal-02435204⟩

• 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

Modelling and characterisation of dynamic behaviour of short-fibre-reinforced composites

Mariem Nciri, Delphine Notta-Cuvier, Franck Lauro, Fahmi Chaari, Yamen Maalej, Bassem Zouari

This study proposes a constitutive model of viscous behaviour of short-fibre reinforced composites (SFRC) with complex distributions of fibre orientations and for a wide range of strain rates. The model is based on an additive decomposition of the state potential for the computation of composite…

Composite Structures, 2017, 160, pp.516-528. ⟨10.1016/j.compstruct.2016.10.083⟩. ⟨hal-03451457⟩

• Article dans une revue

Does the quantitative functional assessment allow to better guide the treatment of the patient with severe hip osteoarthritis?

Laura Wallard, Olivier Cornu, Jean-Emile Dubuc, Philippe Mahaudens, K. I. M’bra, Didier Postlethwaite, Maïté van Cauter, Christine Detrembleur

Computer Methods in Biomechanics and Biomedical Engineering, 2017, Société de Biomécanique Conference 2017, 20 (sup1), pp.207-208. ⟨10.1080/10255842.2017.1382935⟩. ⟨hal-03466601⟩

• Article dans une revue

Traffic impact analysis on Paris and suburbs ways using BFSIS model

Milka Uzunova, Rositsa Velichkova, Roman Potarusov, Moumen Darcherif

In current paper are presented an original approach which is deal with the analysis of the traffic flow density and the travel time as additional indicators using a new extension of the well-known breadth-first search (BFS) algorithm. The average road grade and the average legal speed on the road…

International Journal of Automation and Logistics, 2017, 3 (1), pp.17-32. ⟨10.1504/IJAL.2017.084299⟩. ⟨hal-02020542⟩

• Article dans une revue

An efficient hybrid approach to the remote sensing land cover classification

Ehlem Zigh, B Kouninef, Rachid Nourine, Abdelmalik Taleb-Ahmed, Mohammed Kadiri

The support vector machine (SVM) is considered as one of the powerful algorithm in machine learning, so, it is has been widely used in remote sensing land cover classification field. However, this technique suffers from its sensitivity to the parameters setting and training set. For that, we…

International Journal of Imaging and Robotics, 2017, 17 (1), pp.27-42. ⟨hal-03667415⟩

• 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

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

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

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⟩