Le président du conseil d’arbitrage et l’arbitre unique dans le règlement des conflits de travail

Dans cet article, l’auteur décrit les attitudes des présidents et des arbitres en essayant de les classifier selon les tendances qu'il qualifie de juridique, sociologique, médiationniste, compromissionniste

Typologie et représentations des ensembles résidentiels fermés ou sécurisés en France

Cette contribution vise dans un premier temps à réaliser un recensement des programmes fermés avec contrôle des accès en France. Puis, une typologie des ensembles fermés a été mise en œuvre. Enfin, l'article s'oriente vers une étude des représentations qui ont cours à propos des ensembles résidentiels fermés, par une analyse des discours produits par les principaux acteurs concernés par le phénomène : les promoteurs, les résidants de ces complexes fermés et enfin les élus et techniciens en charge de l'urbanisme ou de l'habitat

An overview of MADYMO uses at INRETS

4th meeting International MADYMO users meeting, EINDHOVEN, PAYS-BAS, 06-/09/1993 - 07/09/1993This paper describes the modelling approach using MADYMO 2D at INRETS (The French National Institute for Transport and Safety Research). A mathematical dynamic model of the pedestrian leg in lateral impact was developed (M.MATYJEWSKI) to test car fronts in order to estimate the severity of the knee joint lesions and to predict the risk of leg injuries in car/pedestrian accidents. Results of this model were compared with those obtained with an instrumented mechanical leg used in the bumper impact test. A train passenger behaviour during a crash at low speed was developed (J.BLOCH and F.MINNE) to improve the function of the fusible area at each carriage extremities. Results of this model were compared with those obtained during a real scale crash test. The kinematic of a 3 -year old child in a childseat on a passenger car seat is analysed (R.BIARD and J.L.CHANIAC) during a frontal impact. Experimental results from sled tests serve as a basis for the validation of the model

Bayesian sparse Fourier representation of off-grid targets with application to experimental radar data

The problem considered is the estimation of a finite number of cisoids embedded in white noise, using a sparse signal representation (SSR) approach, a problem which is relevant in many radar applications. Many SSR algorithms have been developed in order to solve this problem, but they usually are sensitive to grid mismatch. In this paper, two Bayesian algorithms are presented, which are robust towards grid mismatch: a first method uses a Fourier dictionary directly parametrized by the grid mismatch while the second one employs a first-order Taylor approximation to relate linearly the grid mismatch and the sparse vector. The main strength of these algorithms lies in the use of a mixed-type distribution which decorrelates sparsity level and target power. Besides, both methods are implemented through a Monte-Carlo Markov chain algorithm. They are successfully evaluated on synthetic and experimental radar data, and compared to a benchmark algorith