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Search Results: 1 - 10 of 167662 matches for " E. Chauveau "
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La demande de sécurité : l’épreuve des crises sanitaires depuis les années 1980
Sophie Chauveau
Atelier du Centre de Recherches Historiques , 2009, DOI: 10.4000/acrh.993
Abstract: L’article propose dans un premier temps une typologie des événements : la crise sanitaire, l’accident lié à un médicament. Dans un second temps sont analysées les procédures d’indemnisation et les recours en justice comme des solutions apportées aux victimes. Enfin dans un dernier temps, la création des agences sanitaires peut se lire comme une réforme de l’administration de la santé et une tentative pour prendre en compte les exigences de la société civile.
CP violation and CKM matrix elements at the B factories
Jacques Chauveau
Physics , 2010, DOI: 10.1016/j.nuclphysbps.2010.12.018
Abstract: Recent measurements at the B factories of CKM matrix elements affecting CP-violation are reviewed. The emphasis is on the unitarity triangle. Some aspects of the charm and tau sectors are mentioned.
Effects of Aluminum Particle Size, Galinstan Content and Reaction Temperature on Hydrogen Generation Rate Using Activated Aluminum and Water  [PDF]
Kandasamy Jayaraman, Christian Chauveau, Iskender G?kalp
Energy and Power Engineering (EPE) , 2015, DOI: 10.4236/epe.2015.79041
Abstract: Aluminum, in its normal passive oxidized state, does not react with water. In this work, aluminum activation is carried out using liquid metal eutectics Ga-In-Sn-Zn (60:25:10:5). Subsequently, the reaction with water of activated aluminum to produce hydrogen has been examined. The effects of aluminum particle size, liquid eutectics content, and reaction temperature on hydrogen production rates are investigated. The liquid eutectics interaction with aluminum is discussed and the mechanisms of liquid eutectics penetration within the Al particles have been investigated. The specific surface area of the Al particles, the mass ratio of Al to eutectics content and the reaction temperature were found to determine the hydrogen production rate and yield. It is observed that micro-aluminum particles of ~30 μm size display lower reaction rates and hydrogen yields than ~350 μm size particles.
à l’ombre des acquisitions foncières par des intérêts étrangers… les enjeux nationaux de l’appropriation foncière
Jean-Pierre Chauveau
Transcontinentales : Sociétés, Idéologies, Système Mondial , 2011,
Abstract: Transcontinentales : Comment en êtes-vous venu à vous intéresser principalement aux questions foncières dans votre travail de chercheur en Afrique ?Jean-Pierre Chauveau : J’ai commencé mon parcours de chercheur par un travail de terrain sur l’agriculture paysanne de plantation (café et cacao) en C te d’Ivoire. J’ai ensuite fait un intermède au Sénégal sur la pêche artisanale maritime. à chaque fois, j’ai travaillé sur l’exploitation d’une ressource jouant un r le de premier plan dans l’organi...
Selection of a MCMC simulation strategy via an entropy convergence criterion
Didier Chauveau,Pierre Vandekerkhove
Mathematics , 2006,
Abstract: In MCMC methods, such as the Metropolis-Hastings (MH) algorithm, the Gibbs sampler, or recent adaptive methods, many different strategies can be proposed, often associated in practice to unknown rates of convergence. In this paper we propose a simulation-based methodology to compare these rates of convergence, grounded on an entropy criterion computed from parallel (i.i.d.) simulated Markov chains coming from each candidate strategy. Our criterion determines on the very first iterations the best strategy among the candidates. Theoretically, we give for the MH algorithm general conditions under which its successive densities satisfy adequate smoothness and tail properties, so that this entropy criterion can be estimated consistently using kernel density estimate and Monte Carlo integration. Simulated examples are provided to illustrate this convergence criterion.
A New Algorithm of 3D Image Reconstruction of Radar Targets from Ramp Responses in Low Frequency
Janic Chauveau;Nicole de Beaucoudrey
PIER M , 2011, DOI: 10.2528/PIERM10070805
Abstract: Low frequency imaging in radar domain can have applications for stealthy or buried targets. The transient scattering response from a ramp waveform is related to the profile function of the target, namely its transverse cross-sectional area along the line-of-sight, and thus provides information about the target size, orientation and geometrical shape. Such ramp responses can be used to generate a 3-dimensional image of the global shape of the target. Former imaging algorithm uses approximate limiting surfaces and is therefore limited to single convex objects. Here is proposed a new algorithm able to reconstruct non-convex as well as separated targets, from their ramp response signatures.
Characterization of Perfectly Conducting Targets in Resonance Domain with Their Quality of Resonance
Janic Chauveau;Nicole de Beaucoudrey;Joseph Saillard
PIER , 2007, DOI: 10.2528/PIER07041602
Abstract: In resonance domain, the radar scattering response of any object can be modelled by natural poles of resonance with the formalism of the Singularity Expansion Method. The mapping of these poles in the complex plane gives useful information for the discrimination of a radar target, as its general shape, its characteristic dimension and its constitution. In this paper, we use an analogy with resonant circuits modelling to define the quality factor of each resonance. Therefore, we propose to characterize the resonance behavior of perfectly conducting targets with this quality factor and the natural pulsation of resonance ω. Indeed, this new representation in {ω;} allows to better separate information than the usual mapping of natural poles of resonance in the complex plane. For perfectly conducting canonical and complex shape targets, we present results exhibiting advantages of these two parameters {ω;}.
LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
Cyril R. Pernet,Nicolas Chauveau,Carl Gaspar,Guillaume A. Rousselet
Computational Intelligence and Neuroscience , 2011, DOI: 10.1155/2011/831409
Abstract: Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses. 1. Introduction LIMO EEG (https://gforge.dcn.ed.ac.uk/gf/project/limo_eeg/) is a toolbox for the statistical analysis of physiological data. The main goal of the toolbox is the analysis and formal testing for experimental effects at all electrodes/sensors and all time points of magneto- and electro encephalography (MEEG) recordings. This contrasts with traditional approaches that select peaks or mean amplitudes of averaged evoked responses. The toolbox is implemented in Matlab (http://www.mathworks.com/) and requires the Matlab statistical toolbox (free alternative to these functions can be found on the LIMO EEG server and corresponds to adapted version of Octave functions (http://www.gnu.org/software/octave/). The data structure and visualization makes use of the EEGLAB Matlab toolbox [1] (http://sccn.ucsd.edu/eeglab/); therefore LIMO EEG is better used as a plug-in of EEGLAB, although the statistical analyses can be performed independently. Similarly, the toolbox is primarily designed for EEG data although both EEGLAB and LIMO EEG can process MEG data. The toolbox offers a comprehensive range of statistical tests (Table 1), including many popular designs (ANOVAs, linear regressions, ANCOVAs). Some of the statistical methods, that is, massive univariate general linear analyses [2, 3] and spatiotemporal clustering for multiple comparisons correction [4–6] have existed for several years whereas others like bootstrapping were introduced only recently [7–9]. Table 1: Summary of statistical tests available in LIMO EEG via the GUI with the bootstrap procedures used at the univariate (one time frame on one electrode) and cluster levels. Contrary to other toolboxes dedicated to the analysis of event related potentials (ERPs), LIMO EEG deals both with within-subject variance (i.e., single trial
Algorithm for Profile Function Calculation of 3D Objects: Application for Radar Target Identification in Low Frequency
Yanhua Wen;Nicole de Beaucoudrey;Janic Chauveau;Philippe Pouliguen
PIER B , 2013, DOI: 10.2528/PIERB12122109
Abstract: Ramp response technique in low frequency can be used for generating 3-dimensional images of radar targets (even stealthy or buried targets) so as to identify them. This technique uses the target profile function, which is defined as its transverse cross- sectional area versus distance along the observing direction. For mutually orthogonal observing views, reconstructed 3D images are quite accurate. However, in practice, due to the bias introduced from the response in shadow region and from limited non-orthogonal observing directions, reconstructions become distorted.To evaluate the quality of the reconstruction and to further identify objects from their reconstruction, we need to calculate profile functions of 3D reconstructed objects in arbitrary directions. Therefore, in this paper, we propose an algorithm meeting this needs.
mixtools: An R Package for Analyzing Mixture Models
Tatiana Benaglia,Didier Chauveau,David R. Hunter,Derek S. Young
Journal of Statistical Software , 2009,
Abstract: The mixtools package for R provides a set of functions for analyzing a variety of finite mixture models. These functions include both traditional methods, such as EM algorithms for univariate and multivariate normal mixtures, and newer methods that reflect some recent research in finite mixture models. In the latter category, mixtools provides algorithms for estimating parameters in a wide range of different mixture-of-regression contexts, in multinomial mixtures such as those arising from discretizing continuous multivariate data, in nonparametric situations where the multivariate component densities are completely unspecified, and in semiparametric situations such as a univariate location mixture of symmetric but otherwise unspecified densities. Many of the algorithms of the mixtools package are EM algorithms or are based on EM-like ideas, so this article includes an overview of EM algorithms for finite mixture models.
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