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Статті в журналах з теми "Déformation temporelle non linéaire"
Jucquois, Guy. "L’histoire des théories linguistiques fait-elle partie de l’épistémologie de ces théories?" Cahiers du Centre de Linguistique et des Sciences du Langage, no. 52 (August 4, 2017): 89–97. http://dx.doi.org/10.26034/la.cdclsl.2017.333.
Повний текст джерелаSouchon, Y., F. Trocherie, E. Fragnoud, and C. Lacombe. "Les modèles numériques des microhabitats des passons : application et nouveaux développements." Revue des sciences de l'eau 2, no. 4 (April 12, 2005): 807–30. http://dx.doi.org/10.7202/705056ar.
Повний текст джерелаMoreau, Nicolas, Matthieu Quidu, and Emmanuelle Larocque. "On Becoming an “Exercise addict”: Analyzing Exercise Addiction Processes Through the Sociology of Dispositional and Contextual Plurality." Staps N° 143, no. 5 (March 19, 2024): 99–121. http://dx.doi.org/10.3917/sta.143.0099.
Повний текст джерелаBaraka, Abdelhak, Mohammed Matallah, Mustapha Djafour, and Mokhtar Bouazza. "Caractérisation des effets régissant le comportement dynamique du béton." Matériaux & Techniques 106, no. 5 (2018): 502. http://dx.doi.org/10.1051/mattech/2018043.
Повний текст джерелаBocquet, Marc. "Modélisation inverse des sources de pollution atmosphérique accidentelle : progrès récents." Pollution atmosphérique, NS 2 (September 1, 2010): 151–60. http://dx.doi.org/10.54563/pollution-atmospherique.7144.
Повний текст джерелаBoyard-Micheau, Joseph, and Pierre Camberlin. "Reconstitution de séries de pluies quotidiennes en Afrique de l’est : application aux caractéristiques des saisons des pluies." Climatologie 12 (2015): 83–105. http://dx.doi.org/10.4267/climatologie.1142.
Повний текст джерелаGUERIN-RECHDAOUI, Sabrina, David DU PASQUIER, Anthony MARCONI, Erwan MICHELIN, Barabara ROBIN, Gregory LEMKINE, Sam AZIMI, and Vincent ROCHER. "Biosurveillance des eaux de surface en agglomération parisienne – Résultats 2017-2019 en Seine, Marne et Oise." Techniques Sciences Méthodes 6 (June 20, 2023): 63–78. http://dx.doi.org/10.36904/tsm/20230663.
Повний текст джерелаPérez, Fredy, and Velásquez Hermilson. "Análisis de cambio de régimen en series de tiempo no lienales utilizando modelos TAR." Lecturas de Economía, no. 61 (November 3, 2009): 101–19. http://dx.doi.org/10.17533/udea.le.n61a2731.
Повний текст джерелаMikaelian, Irina, та Anna Zalizniak. "Переписка по электронной почте как особый коммуникативный жанр". Chroniques slaves 2, № 1 (2006): 95–111. http://dx.doi.org/10.3406/chros.2006.870.
Повний текст джерелаDalmora, André, Alexandre Imperiale, Sébastien Imperiale, and Philippe Moireau. "Solveur numérique générique pour la modélisation de l'influence des contraintes mécaniques sur la propagation des ondes guidées pour les applications SHM." e-journal of nondestructive testing 28, no. 9 (September 2023). http://dx.doi.org/10.58286/28536.
Повний текст джерелаДисертації з теми "Déformation temporelle non linéaire"
Khacef, Yacine. "Surveillance avancée du trafic routier par détection acoustique distribuée et apprentissage profond." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5070.
Повний текст джерелаUrban traffic management poses a significant challenge for cities worldwide, intensified by the growing number of vehicles on road infrastructures. Traditional methods, such as cameras and loop detectors, are often suboptimal due to their high deployment and maintenance costs, limited sensing resolution, and privacy concerns. Recently, Distributed Acoustic Sensing (DAS) technology has emerged as a promising solution for traffic monitoring. By transforming standard fiber-optic telecommunication cables into an array of vibration sensors, DAS captures vehicle-induced subsurface deformation with high spatio-temporal resolution, providing a cost-effective and privacy-preserving alternative.In this thesis, we propose several models and frameworks for comprehensive traffic monitoring using DAS technology, focusing on four key aspects: vehicle detection, speed estimation, counting, and classification. First, we introduce a self-supervised DAS data alignment model that temporally aligns the recorded DAS data across multiple measurement points, enabling the extraction of the traffic information. Our model integrates a deep learning module with a non-uniform time warping block, making it capable of handling challenging traffic conditions and accurately aligning DAS data.Next, we present a vehicle detection and speed estimation framework built on the alignment model. Vehicle detection is formulated within the Generalized Likelihood Ratio Test (GLRT) framework, allowing for reliable detection and localization of vehicles. Speed estimation is achieved over the detected vehicles using the warps from the alignment model, and the results are validated against dedicated sensors. Our method achieves a mean error of less than kmph{3}, outperforming traditional time series alignment methods like Dynamic Time Warping (DTW) by nearly 80%. Furthermore, our model's computing time is 16 times faster than DTW, enabling real-time performance.Lastly, we introduce new vehicle counting and classification methods that leverage the DAS technology. We present a first solution, based solely on vehicle detection results, which is effective for truck counting but shows limitations in cars counting under high-traffic conditions. To address these limitations, we develop a second approach for vehicle counting using a supervised deep learning model trained on a specific road section, using the vehicle counting results of the first method and low-time-resolution labels from dedicated sensors. Through an optimal transport-based feature mapping technique, we extend the model to other road segments, demonstrating its scalability and adaptability. Using the first truck counting method along with the deep learning-based vehicle counting model results in a comprehensive vehicle counting and classification solution.Overall, this thesis presents a robust and scalable framework for road traffic monitoring using DAS technology, delivering both high accuracy and real-time performance. The framework paves the way for extracting a wide range of other crucial traffic information, such as accident detection. Moreover, this approach can be generalized to various road configurations and extended to other transportation modes, such as tramways and trains, demonstrating its broader applicability
Budiwantoro, Bagus. "Identification temporelle des structures linéaires et non linéaires." Ecully, Ecole centrale de Lyon, 1990. http://www.theses.fr/1990ECDL0033.
Повний текст джерелаPeeters, Philippe. "Fluctuations en chimie non linéaire: Systèmes explosifs et dynamique spatio-temporelle." Doctoral thesis, Universite Libre de Bruxelles, 1993. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212800.
Повний текст джерелаSaad, Patricia. "Modélisation et identification du comportement non linéaire des cales en caoutchouc." Ecully, Ecole centrale de Lyon, 2003. http://bibli.ec-lyon.fr/exl-doc/psaad.pdf.
Повний текст джерелаWe develop a numerical model to compute non linear rubber bush response. The objective is to take into account elasticity, damping, and non linear properties in a simple model dedicated to full vehicle modelling simulation. It is therefore important that the constitutive model a accurately capture theses aspects of the mechanical behaviour. To take into account these properties, Finite Element Codes use several complex constitutive laws. All these constituve equations can be integrated in finite element models and many algorithms are developed for this purpose. The main drawback of this procedure is its complexity. The number of dof is too high to be integrated in a vehicle study. Our work aims at giving a simplified approximation of the force as a function of the displacement and its derivatives, starting from a microscopic constitutive equation. Starting from a finite element model and a constutive law, we want to generate an equivalent rheological model, with a few dof. This model aims at predicting the frequency response of the bush, function of its geometry, of the load, of the parameters of the constitutive law. To do so, we approximate the displacement as a linear combination of admissible kinematic displacement fields, according to the Rayleigh-Ritz approximation. Hyperelastic models are used to fit on linear quasi static force deflection curves. Viscoelastic constitutive laws are also developped. In order to predict amplitude dependency observed when we measure steady state harmonic response, we use a Volterra development of the stress strain constitutive equation. To take into account preload effects, we linearize a viscohyperelastic model. The predictions of these models are compared to experimental data
Dinh, Anh Tuan. "Comportement élastique linéaire et non-linéaire du bois en relation avec sa structure." Phd thesis, AgroParisTech, 2011. http://pastel.archives-ouvertes.fr/pastel-00720245.
Повний текст джерелаLanglois, Sébastien. "Prédiction des vibrations éoliennes d'un système conducteur-amortisseur avec une méthode temporelle non linéaire." Thèse, Université de Sherbrooke, 2013. http://hdl.handle.net/11143/6133.
Повний текст джерелаBenaouda, Mohamed Kheir-Eddine. "Existence de minimums pour matériaux de Saint-Venant Kirchhoff et contact unilatéral en grande déformation." Lille 1, 1996. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/1996/50376-1996-115.pdf.
Повний текст джерелаBrennetot, René. "Spectrométrie de lentille thermique pulsée : étalonnage, résolution temporelle du signal, absorption non linéaire, exemples d'applications." Lyon 1, 1999. http://www.theses.fr/1999LYO10250.
Повний текст джерелаMartinelli, Gilbert. "Réponse spatio-temporelle d'un résonateur de Fabry-Perot en régime non linéaire sous excitation picoseconde." Limoges, 1990. http://www.theses.fr/1990LIMO0088.
Повний текст джерелаDebut, Alexis. "Cohérence temporelle des lasers Brillouin à fibre optique." Lille 1, 2000. http://www.theses.fr/2000LIL10094.
Повний текст джерелаЧастини книг з теми "Déformation temporelle non linéaire"
Le Gouët, J. L. "Holographie spectro-temporelle." In L'optique non linéaire et ses matériaux, 333–50. EDP Sciences, 2001. http://dx.doi.org/10.1051/978-2-7598-0194-7.c009.
Повний текст джерелаPINEL-PUYSSÉGUR, Béatrice, Francesco DE ZAN, and Johann CHAMPENOIS. "La phase interférométrique : déroulement de phase et fermeture temporelle." In Mesure du déplacement de surface à partir d’images de télédétection, 179–218. ISTE Group, 2024. https://doi.org/10.51926/iste.9083.ch6.
Повний текст джерелаТези доповідей конференцій з теми "Déformation temporelle non linéaire"
Le Gouët, J. L. "Holographie spectro-temporelle." In L'optique non linéaire et ses matériaux. Les Ulis, France: EDP Sciences, 1998. http://dx.doi.org/10.1051/sfo/1998005.
Повний текст джерела