Academic literature on the topic 'Capteurs intelligents'
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Journal articles on the topic "Capteurs intelligents"
Denoual, Mathieu, Mathieu Puliquen, and Gilles Allègre. "Capteurs infrarouge intelligents." Traitement du signal 30, no. 6 (April 28, 2013): 367–400. http://dx.doi.org/10.3166/ts.30.367-400.
Full textGeneste, Laurent, François Soler, and Abdallah Habbadi. "Capteurs/actionneurs intelligents distribués." Journal of Decision Systems 8, no. 3 (January 1999): 257–79. http://dx.doi.org/10.1080/12460125.1999.10511761.
Full text-ROBERT, Michel. "Capteurs intelligents, état de l'art et perspectives." Revue de l'Electricité et de l'Electronique -, no. 03 (1999): 43. http://dx.doi.org/10.3845/ree.1999.024.
Full textWolf, Bernhard, and Christian Scholze. "« Médecine 4.0 »." médecine/sciences 34, no. 11 (November 2018): 978–83. http://dx.doi.org/10.1051/medsci/2018236.
Full textNoel, Laurent, Amine Khitous, Quentin Kirscher, Céline Molinaro, Dominique Berling, and Olivier Soppera. "Écriture laser de materiaux fonctionnels inorganiques preparés par voie sol-gel." Photoniques, no. 112 (2022): 43–47. http://dx.doi.org/10.1051/photon/202211243.
Full textPellerin, D., M. Brissaud, G. Grange, D. Noterman, and J. F. Robin. "Modélisation électrique des canalisations métalliques des bâtiments : application aux réseaux de capteurs intelligents." Revue de Physique Appliquée 24, no. 9 (1989): 933–44. http://dx.doi.org/10.1051/rphysap:01989002409093300.
Full textGrosjean, Sylvie. "Susciter des récits d’usage de dispositifs d’autosoins « intelligents » par la méthode du récit à achever." Réseaux N° 243, no. 1 (February 20, 2024): 143–82. http://dx.doi.org/10.3917/res.243.0143.
Full textDutoit, Denis, and Dimitri Kténas. "Les composants pour les infrastructures numériques." Annales des Mines - Enjeux numériques 27, no. 3 (September 27, 2024): 128–34. http://dx.doi.org/10.3917/ennu.027.0128.
Full textMartinez, D. "Capteurs intelligents par réseaux de neurones: l'exemple d'un microsystème d'inspection visuelle [Intelligent sensors using neural networks: the example of a microsystem for visual inspection]." Engineering Science & Education Journal 9, no. 5 (October 1, 2000): 236–40. http://dx.doi.org/10.1049/esej:20000509.
Full textTabaa, M., K. Alami, A. Dandache, Z. Benabbou, B. Chouri, and K. Bousmar. "Initiation à la conception et réalisation d’un réseau de capteurs intelligent : Maison Intelligente." J3eA 16 (2017): 1018. http://dx.doi.org/10.1051/j3ea/20171018.
Full textDissertations / Theses on the topic "Capteurs intelligents"
Noizette, Jean-Luc. "Méthodologie de conception des capteurs intelligents application a un capteur granulométrique." Nancy 1, 1991. http://www.theses.fr/1991NAN10407.
Full textNauvelade, Françoise. "Réseau à fibres optiques de capteurs intelligents et optoalimentés." Bordeaux 1, 1990. http://www.theses.fr/1990BOR10525.
Full textCuny, Fabien. "Synthèse d'observateurs et développement de capteurs intelligents pour la maintenance prédictive." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC212.
Full textThis thesis is part of the CIFRE agreement between the company Robert Bosch and the University of Caen Normandy in the laboratory GREYC then LAC. It consists of two parts, one which is of a fundamental nature and concerns the synthesis of observers. For the other part, it is more applied and concerns the implementation of a sensors network and ensure the routing of information from them. This is done through the network, whether wired or wireless.In the first part of the study, we looked at a fairly general class of time-varying and affine systems as they are, whose output is measured with a delay and sampled. The novelty in this class of systems is twofold:(i) the state equation is subject to an output signal injection and is therefore dependent on future outputs that are unavailable;(ii) future outputs occur at the state equation not only in the usual form of a stateindependent function, but also through the state matrix itself, which fact, appears as an unknown quantity of the model.These two novelties of the model cause in fact the loss of the "affine in the state" character of this last one, and make that one is confronted with a synthesis problem of observers never resolved previously. The solution we propose is a "Kalman filter" type observer augmented by an inter-sample predictor and saturation operators. We analyze the exponential stability of the state estimation error system by using the small gain theorem and tools of Lyapunov stability. The analysis highlights the existence of eligibility intervals in which the allowable values of the delay and the sampling period must be located in order to ensure the exponential convergence of the observer.In the second part, we are interested in predictive maintenance through practical applications via the installation of a sensor network. The purpose of this network is to perform predictive maintenance on sensitive equipment. The latter is an essential component for the implementation of IoT and Industry 4.0 applications.The purpose of this sensor network is to perform predictive maintenance on sensitive equipment. The latter is an essential component for the implementation of IoT and Industry 4.0 applications. Moreover, an observer of sampled data for affine systems in the state with output injection was studied on the basis of observers.Applications of IoT and Industry 4.0 on the Robert Bosch site in Mondeville are discussed as well as the development of a network disturbance simulator to stress the robustness of the communication of a sensor to a client
Valade, Aurelien. "Capteurs intelligents : quelles méthodologies pour la fusion de données embarquées ?" Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0007/document.
Full textThe work detailed in this document is the result of a collaborative effort of the LAAS-CNRS in Toulouse and MEAS-France / TE Connectivity during a period of three years.The goal here is to develop a methodology to design smart embedded sensors with the ability to estimate physical parameters based on multi-physical data fusion. This strategy tends to integrate sensors technologies, currently dedicated to lab measurements, in low powered embedded systems working in imperfects environments. After exploring model oriented methods, parameters estimations and Kalman filters, we detail various existing solutions upon which we can build a valid response to multi-physical data fusion problematics, for linear systems with the Kalman Filter, and for non-linear systems with the Extended Kalman Filter and the Unscented Kalman Filter.Then, we will synthesize a filter for hybrid systems, having a linear evolution model and a non-linear measurement model. For example, using the best of the two worlds in order to obtain the best complexity/precision ratio. Once we selected the estimation method, we detail computing power and algorithm complexity problematics in order to find available optimizations we can use to assess the usability of our system in a low power environment. Then we present the developed methodology application to the UQS sensor, sold by TE Connectivity, study case. This sensor uses near infra-red spectroscopy to determine the urea concentration in a urea/water solution, in order to control the nitrogen-oxyde depolluting process in gasoline engines. After a design principles presentation, we detail the model we created in order to represent the system, to simulate its behavior and to combine the measurement data to extract the desired concentration. During this step, we focus on the obstacles of our model calibration and the deviation compensation, due toworking conditions or to components aging process. Based on this development, we finally designed the hybrid models addressing the nominal working cases and the model re-calibration during the working duration of the product. After this, we presented obtained results, on simulated data, and on real-world measured data. Finally, we enhanced the methodology based on tabulated “black box” models which are easier to calibrate and cheaper to process. In conclusion, we reapplied our methodology to a different motion capture sensor, to compile all possible solutions and limits
Zayed, Mohamed. "Véhicules intelligents : étude et développement d'un capteur intelligent de vision pour l'attelage virtuel." Lille 1, 2005. https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/b030da38-33c4-479d-b15b-10751fda9f2f.
Full textZayed, Mohamed. "Véhicules Intelligents : Etude et développement d'un capteur intelligent de vision pour l'attelage virtuel." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2005. http://tel.archives-ouvertes.fr/tel-00141213.
Full textAprès une présentation de la problématique associée, le premier chapitre dresse l'état de l'art en matière de véhicules intelligents. Le second introduit la notion de capteur intelligent et présente les approches de conception que nous mettons en application pour identifier les différents services et fonctionnalités que doit intégrer ce capteur stéréoscopique intelligent pour contribuer à la réalisation de la tâche de l'Attelage Virtuel.
Le dernier chapitre expose la réalisation du capteur stéréoscopique. Nous y détaillons les problèmes que posent l'application de la stéréovision au domaine des transports et les solutions que nous y avons apportées. Ainsi, sont évoquées les difficultés posées par la phase de calibration, l'extraction en temps réel des zones d'intérêt et le problème de certification des données obtenues. Le respect des contraintes temporelles nous a conduit à mettre en œuvre un dispositif d'extraction et de tracking. Les performances de chacun des modules constitutifs de notre capteur sont étayées par des résultats expérimentaux obtenus en situation réelle. Enfin, nous présentons une technique permettant le suivi du véhicule avec une seule caméra.
Gehin, Anne-Lise. "Analyse fonctionnelle et modèle générique des capteurs intelligents : application à la surveillance de l'anesthésie." Lille 1, 1994. http://www.theses.fr/1994LIL10001.
Full textJouvray, Christophe. "Modélisation et intégration de capteurs intelligents dans des systèmes temps-réel embarqués." Paris 11, 2006. http://www.theses.fr/2006PA112250.
Full textBack, Antoine. "Conception et intégration d'un convertisseur analogique-paramètres flexible pour les capteurs intelligents." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT020.
Full textThe Internet of Things (IoT) is currently experiencing huge developments. IoT includes lots of different devices such as Wireless Sensors Networks (WSN) or wearable electronics that rely on wireless communications. These networks need to understand the context in which they are used. This mean that the system must know what is happening around it, i.e. sense the environment, and understands the needs of the user. This requires always-on sensing on many sensors while being small, cheap, reliable and having a lifetime of several years. Analog-to-Feature (A2F) conversion is a new acquisition method that was thought for IoT devices. The converter aims at extracting useful features directly on the analog signal. By carefully choosing a set of features, it is possible to acquire only the relevant information for a given task. The proposed converter is based on the Non-Uniform Wavelet Sampling (NUWS) architecture. The architecture mixes the analog signal with tunable wavelets prior to integration and digital conversion. The aim of the thesis is to propose a method to design a generic A2F converter based on the NUWS. It includes the definition of the wavelet parameters in order to acquire a broad range of low frequency signals (ECG, EMG, EEG, speech …). This step requires the use of feature selection algorithms and machine learning algorithms for selecting the best set of wavelets for a given application and should be used to define the specifications for the converter. The feature selection step must be aware of physical implementation constraints to optimize energy consumption as much as possible. A feature selection algorithm is proposed to choose wavelets for a given application, in order to maximize classification accuracy while decreasing power consumption, through a power model designed in CMOS 0.18μm
Chafei, Ayman. "L'utilisation de systèmes intelligents réseautés pour l'instrumentation des structures en génie civil." Mémoire, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/1473.
Full textBooks on the topic "Capteurs intelligents"
Farhad, Ansari, ed. Applications of fiber optic sensors in engineering mechanics: A collection of state-of-the-art papers in the application of fiber optic technologies to civil structures. New York, N.Y: American Society of Civil Engineers, 1993.
Find full textHu, Fei. Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning. Boca Raton: Taylor & Francis, 2012.
Find full textBrooks, Richard R., and S. Sitharama Iyengar. Distributed Sensor Networks: Image and Sensor Signal Processing. Taylor & Francis Group, 2016.
Find full textBrooks, Richard R., and S. Sitharama Iyengar. Distributed Sensor Networks: Two Volume Set. Taylor & Francis Group, 2012.
Find full textBrooks, Richard R., and S. Sitharama Iyengar. Distributed Sensor Networks: Image and Sensor Signal Processing. Taylor & Francis Group, 2016.
Find full textBrooks, Richard R., S. Sitharama Iyengar, and Clemson Clemson University. Distributed Sensor Networks. Taylor & Francis Group, 2014.
Find full textBrooks, Richard R., and S. Sitharama Iyengar. Distributed Sensor Networks: Image and Sensor Signal Processing. Taylor & Francis Group, 2016.
Find full textBook chapters on the topic "Capteurs intelligents"
Sarkar, Antara, Moumita Roy Choudhury, Afaq Ahmed, Amna Rahman, Nikki Niketa, and Somen Nayak. "The Capteur: IoT based Device used for Real-time Scenario Analyzing." In Applications of Machine Intelligence in Engineering, 43–48. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003269793-5.
Full textBENBETTAIEB, Nasreddine. "Emballages actifs et intelligents." In Matériaux et procédés d’emballage pour les industries alimentaires, cosmétiques et pharmaceutiques, 209–48. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9039.ch8.
Full textSamorì, Paolo. "Chapitre 13 : Nanochimie : des nanomatériaux intelligents aux dispositifs optoélectroniques et capteurs multifonctionnels." In Chimie, nanomatériaux, nanotechnologies, 211–26. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2399-4-015.
Full textSamorì, Paolo. "Chapitre 13 : Nanochimie : des nanomatériaux intelligents aux dispositifs optoélectroniques et capteurs multifonctionnels." In Chimie, nanomatériaux, nanotechnologies, 211–26. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2399-4.c015.
Full textSamorì, Paolo. "Chapitre 13 : Nanochimie : des nanomatériaux intelligents aux dispositifs optoélectroniques et capteurs multifonctionnels." In Chimie, nanomatériaux, nanotechnologies, 211–26. EDP Sciences, 2020. https://doi.org/10.1051/978-2-7598-2376-5.c015.
Full textAYMEN CHALOUF, Mohamed, Hana MEJRI, and Omessaad HAMDI. "Intelligence artificielle pour la sécurité en e-santé." In Gestion de la sécurité en e-santé, 213–35. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9179.ch9.
Full textSCHMITT, Corinna, and Marvin WEBER. "Solution domotique pour SecureWSN." In Cybersécurité des maisons intelligentes, 1–79. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9086.ch1.
Full textKaur, Paramjeet, and Manish Sharma. "Transforming Healthcare Informatics Through Big Data Analytics." In Advances in Healthcare Information Systems and Administration, 392–411. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8913-0.ch017.
Full textConference papers on the topic "Capteurs intelligents"
Macé, Jean-Reynald, Thierry Dechanet, and Guillaume Pons. "Capteurs intelligents et intervenants du futur." In Le nucléaire accélère sa transformation numérique. Les Ulis, France: EDP Sciences, 2017. http://dx.doi.org/10.1051/jtsfen/2017len3.3.
Full textGagniére, Jacques, and Jean-Reynald Macé. "L’utilisation de capteurs intelligents chez AREVA: enjeux, perspectives et retour d’expériences." In 17th International Congress of Metrology, edited by Bernard Larquier. Les Ulis, France: EDP Sciences, 2015. http://dx.doi.org/10.1051/metrology/20150008007.
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