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Статті в журналах з теми "Informatique – Défauts"
Baile, Serge. "Bénéfices et avantages compétitifs des échanges de données informatiques pour les PME/PMI." Revue internationale P.M.E. 8, no. 2 (February 16, 2012): 7–47. http://dx.doi.org/10.7202/1008348ar.
Повний текст джерелаHenrotte, Jean-François, and Pauline Limbrée. "Le pirate éthique à l’épreuve du droit pénal et de la protection des données." Pin Code N° 1, no. 1 (April 28, 2019): 18–25. http://dx.doi.org/10.3917/pinc.001.0018.
Повний текст джерелаLaval, Virginie, Geneviève de Weck, Stéphanie Chaminaud, and Agnès Lacroix. "Contexte et Compréhension des Expressions Idiomatiques: Une Étude Chez des Enfants Francophones Présentant une Dysphasie de Type Phonologique Syntaxique." Swiss Journal of Psychology 68, no. 1 (February 2009): 51–60. http://dx.doi.org/10.1024/1421-0185.68.1.51.
Повний текст джерелаGarin, L., and H. Dolange. "La « pré-attribution » de PSL par l’EFS suivie d’un défaut dans les échanges d’information EFS – Hospices Civils de Lyon peut conduire à une erreur de traçabilité informatique." Transfusion Clinique et Biologique 21, no. 4-5 (November 2014): 266. http://dx.doi.org/10.1016/j.tracli.2014.08.076.
Повний текст джерелаFelczak, Michael, Richard Smith, and Geoffrey Glass. "Communicating with (Some) Canadians: Communication Rights and Government Online in Canada." Canadian Journal of Communication 34, no. 3 (August 26, 2009). http://dx.doi.org/10.22230/cjc.2009v34n3a2020.
Повний текст джерелаAguair, Mateus L., and Kamran Behdinan. "Design, Prototyping, and Programming of a Bricklaying Robot." Journal of Student Science and Technology 8, no. 3 (November 29, 2015). http://dx.doi.org/10.13034/jsst.v8i3.92.
Повний текст джерелаRobert, Pascal. "L’imaginaire des TIC en questions." Imaginaire(s) et numérique 4, no. 2 (December 11, 2017). http://dx.doi.org/10.25965/interfaces-numeriques.520.
Повний текст джерелаДисертації з теми "Informatique – Défauts"
Risch, Vincent. "Les Tableaux analytiques au service des logiques de défauts." Aix-Marseille 2, 1993. http://www.theses.fr/1993AIX22051.
Повний текст джерелаBentoumi, Mohamed. "Outils pour la détection et la classification : Application au diagnostic de défauts de surface de rail." Nancy 1, 2004. http://www.theses.fr/2004NAN10159.
Повний текст джерелаThe works concern with detection and classification problems for fault diagnosis. Two approaches are treated. The first one, where the K-classes global problem is splitted into sub problems, is called simultaneous detection and classification. Each sub problem is solved by a block that links together pre-processing phase, choice of the representation space, detection then decision. The resolution of the global problem is carried out by a sequential arrangement of the blocks or a parallel decision scheme. The second approach is the successive detection and classification approach. It consits of a first basic signal processing for alarm generation that indicates the possible existence of default. Then, high-level processings are activated in order to precisely analyze the default signature. Classification tools - linear classifiers, neural classifiers, SVM - are used. All these methods have been validated on a rail surface defect detection application in subway context
Kaftandjian, Valérie. "Reconnaissance automatique de défauts dans les produits métalliques par radioscopie numérique." Lyon, INSA, 1995. http://www.theses.fr/1995ISAL0056.
Повний текст джерелаThe present study refers to the Non Destructive Testing of metal products by digital radioscopy. Internal defects are automatically detected and their type identified, while the object is moving. The first part o( our study is dedicated to the characterization of the radioscopic image quality : the Signal to Noise ratio, the contrast, the sensitivity, the thickness resolution are measured on the digital image. Theo, the X-ray detector is investigated through its Detection Quantum Efficiency and its Transfer Function. First, the Contrast Transfer Function is measured and compared to a numerical simulation which confirmed that the detector resolution is determined by its geometrical aperture. Finally, the Modulation Transfer Function 1s studied in detail through several experimental methods. In the second part, our work is aimed at the radioscopic image analysis, in such a way to detect and recognize the internal defects automatically. This is applied to the inspection of aluminum ingots, where eight defect types are to be considered. The analysis consists of three parts : defect detection, feature extraction, recognition. The developed detection method is based on mathematical morphology. A study of the defects and the production process allowed us to model the defect types, and to gather as much a priori information as possible. The selected features for defect modeling are shape, orientation, width, contrast. Finally, our recognition method is based on an identification tree, whose inputs are the features, and outputs are the defect types. Once the objects are separated in shape, orientation and width families, a clustering of aligned and close objects is performed, in such a way to identify the objects that would have been disconnected by the segmentation process
Hecht, Geoffrey. "Détection et analyse de l'impact des défauts de code dans les applications mobiles." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10133/document.
Повний текст джерелаMobile applications are becoming complex software systems that must be developed quickly and evolve continuously to fit new user requirements and execution contexts. However, addressing these constraints may result in poor low-level design choices, known as code smells. The presence of code smells within software systems may incidentally degrade their quality and performance, and hinder their maintenance and evolution. Thus, it is important to know this smells but also to detect and correct them. While code smells are well-known in object-oriented applications, their study in mobile applications is still in their infancy. Moreover there is a lack of tools to detect and correct them. That is why we present a classification of 17 code smells that may appear in Android applications, as well as a tool to detect and correct code smells on Android. We apply and validate our approach on large amounts of applications (over 3000) in two studies evaluating the presence and evolution of the number of code smells in popular applications. In addition, we also present two approaches to assess the impact of the correction of code smells on performance and energy consumption. These approaches have allowed us to observe that the correction of code smells is beneficial in most cases
Abramik, Stanisław. "Base de connaissance des défauts des systèmes électriques pour systèmes experts : contribution à l'étude du diagnostic de défaillance des convertisseurs statiques en temps réel." Toulouse, INPT, 2003. http://www.theses.fr/2003INPT030H.
Повний текст джерелаJacquemod, Gilles. "Detection de défauts dans des images radiographiques industrielles obtenues en temps reel par des détecteurs linéaires." Lyon, INSA, 1989. http://www.theses.fr/1989ISAL0089.
Повний текст джерелаBonté, Eric. "Calcul des extensions dans les théories de défauts en réseau : Application au raisonnement à profondeur variable." Paris 13, 1992. http://www.theses.fr/1992PA132015.
Повний текст джерелаForget, Lionel. "X-logiques : théorèmes de représentation pour les logiques préférentielles et la logique des défauts." Aix-Marseille 1, 1999. http://www.theses.fr/1999AIX11009.
Повний текст джерелаCyr, Charles. "Développement d'algorithmes de détection de défauts pour la maintenance prédictive de générateurs hydroélectriques." Thesis, Université Laval, 2004. http://www.theses.ulaval.ca/2004/21577/21577.pdf.
Повний текст джерелаDeguillemont, Denis. "Contribution de l'application de la transformation en ondelettes pour détecter et reconnaître des défauts sur des objets de nature complexe en production industrielle." Lille 1, 1998. http://www.theses.fr/1998LIL10131.
Повний текст джерелаКниги з теми "Informatique – Défauts"
1945-, Gabbay Dov M., Hogger Christopher John, and Robinson J. A, eds. Handbook of logic in artificial intelligence and logic programming. Oxford: Clarendon Press, 1993.
Знайти повний текст джерелаRoy, Nabamita Banerjee, and Kesab Bhattacharya. Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults. Taylor & Francis Group, 2021.
Знайти повний текст джерелаRoy, Nabamita Banerjee, and Kesab Bhattacharya. Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults. Taylor & Francis Group, 2021.
Знайти повний текст джерелаApplication of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults. Taylor & Francis Group, 2021.
Знайти повний текст джерелаRobinson, J. A., C. J. Hogger, and Dov M. Gabbay. Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning (Handbook of Logic in Artificial Intelligence and Logic Programming). Oxford University Press, USA, 1994.
Знайти повний текст джерелаHandbook of logic in artificial intelligence and logic programming. Oxford: Clarendon Press, 1995.
Знайти повний текст джерелаHandbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logical Foundations. Oxford University Press, USA, 1993.
Знайти повний текст джерелаHandbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming (Handbook of Logic in Artificial Intelligence and Logic Programming). Oxford University Press, USA, 1998.
Знайти повний текст джерелаHandbook of logic in artificial intelligence and logic programming. Oxford: Clarendon Press, 1994.
Знайти повний текст джерелаRobinson, J. A., C. J. Hogger, and Dov M. Gabbay. Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 4: Epistemic and Temporal Reasoning (Handbook of Logic in Artificial Intelligence and Logic Programming). Oxford University Press, USA, 1995.
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