Literatura académica sobre el tema "Surveillance multicapteurs"
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Tesis sobre el tema "Surveillance multicapteurs"
Dassot, Gilles. "Réseaux multicapteurs pour la surveillance de zones océaniques". Grenoble INPG, 1997. http://www.theses.fr/1997INPG0101.
Texto completoLi, Long. "Contribution au développement d'un système expert multicapteurs pour la surveillance du poinçonnage". Nancy 1, 1994. http://www.theses.fr/1994NAN10336.
Texto completoBavencoff, Frédéric. "Traitement de l'information appliqué aux systèmes de surveillance". Rennes 1, 2005. http://www.theses.fr/2005REN1S072.
Texto completoAzzam, Ahcene Ameziane. "Contribution à la mise en place d'un système multicapteurs pour la surveillance des eaux de surface : fusion de données et aide à la décision". Nancy 1, 2005. http://docnum.univ-lorraine.fr/public/SCD_T_2005_0188_AZZAM.pdf.
Texto completoThe present thesis investigates the monitoring and the evaluation of the quality of a river which supplies a drinking water network. The raw data collected from a multi-sensors installation, are transformed into data fusion information. This fusion makes it possible to qualify pollutions after having taken down the answers of each sensor. This is done after having tested various pollutions in confined circuit, while using partly, the method of the experimental plans. On the basis of these states called "masks of pollution", the multi-criterion assistance for the decision makes it possible to quantify the degree of seriousness of these pollutions. Information thus produced, defines the degree of pollution, allows a decision aid to avoid the contamination of the drinking water network, guaranteeing an action, according to a level of alarm, which will decide to stop the water pumping for example
Kaddour, Mahmoud. "Contribution à la surveillance et au contrôle de l'intégrité d'un système de localisation GNSS". Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10126/document.
Texto completoThe current decade has marked the irresistible and irreversible arrival of the GNSS systems in society by making it accessible and essential to many users. Improved performance and reliability of GNSS systems is among the factors that contribute to the exponential development of the field of GNSS applications and services. This improvement is based on the use of estimation methods of geo-positioning which ensures a very high level of integrity. For this, these methods must incorporate a layer of well-developed autonomous integrity monitoring. In this work, we propose approaches for autonomous integrity monitoring of position estimation using GNSS measurements. We have chosen to develop approaches based on an informational formalism: Informational filter on the one hand and tools of the information theory of the other. Residuals based on mutual information are developed. With an appropriate thresholding, these residuals can detect and exclude GNSS erroneous measurements. In this context, other ideas were also developed in order to robustify the developed methods as the projection of GNSS observations in the information space and the development of optimization function in order to ameliorate the prediction of a filter. The proposed methods are tested and validated with real data acquired with an experimental vehicle with several open GNSS systems
Schettini, Frédéric. "Fusion de données pour la surveillance du trafic et l'information des usagers". Toulouse, ENSAE, 1998. http://www.theses.fr/1998ESAE0016.
Texto completoHelli, Omar. "Multicapteurs de gaz pour la conception d'un nez électronique de surveillance de la pollution atmosphérique : application à la detection de NO2 et H2S dans une atmosphère humide chargée de CO2". Metz, 2003. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/2003/Helli.Omar.SMZ0303.pdf.
Texto completoHelli, Omar Lumbreras Martine. "Multicapteurs de gaz pour la conception d'un nez électronique de surveillance de la pollution atmosphérique Application à la detection de NO2 et H2S dans une atmosphère humide chargée de CO2 /". Metz : Université Metz, 2008. ftp://ftp.scd.univ-metz.fr/pub/Theses/2003/Helli.Omar.SMZ0303.pdf.
Texto completoArégui, Astrid. "Novelty detection in the Belief Function Framework, with application to the monitoring of a waste incineration process : applications à la surveillance d'un système d'incinération de déchets". Compiègne, 2007. http://www.theses.fr/2007COMP1716.
Texto completoAbstract the main two contributions of this PhD Thesis are related with the belief function theory and the problem of novelty detection. The thesis is divided into three parts. The first introduces the main notions pertaining to the belief function theory before describing the associated contributions. The special case considered here is that where the variable of interest is defined from the result of a random experiment. Based on past observations, we introduce two different approaches to predict what the next observation will be. In the second part, the state of the art on the one-class classification problem is summarized before the benefits of the use of belief functions in this domain are shown. Indeed, this theory can be used together with novelty detectors so that the outputs of different classifiers are all expressed in the form of belief functions. The latter can then be compared or combined. Finally, an application to the monitoring of waste incineration plants is detailed
Grégoire, Vincent. "Suivi des piétons par fusion d'images infrarouges et visibles en scènes intérieures". Thesis, Université Laval, 2006. http://www.theses.ulaval.ca/2006/23765/23765.pdf.
Texto completoLibros sobre el tema "Surveillance multicapteurs"
Chang, Ni-Bin y Kaixu Bai. Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing. Taylor & Francis Group, 2018.
Buscar texto completoMultisensor Data Fusion and Machine Learning for Environmental Remote Sensing. Taylor & Francis Group, 2018.
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