Academic literature on the topic 'Détection du mode de transport'
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Journal articles on the topic "Détection du mode de transport"
Yésou, Hervé, Aurélie Escudier, Stéphanie Battiston, Jean-Yves Dardillac, Stephen Clandillon, Carlos Uribe, Mathilde Caspard, et al. "Exploitation de l'imagerie Pléiades-THR en cartographie réactive suite à des catastrophes naturelles ayant affecté le territoire français en 2013." Revue Française de Photogrammétrie et de Télédétection, no. 209 (January 29, 2015): 39–45. http://dx.doi.org/10.52638/rfpt.2015.210.
Full textMontel, Fabien. "Séquençage de l’ADN par nanopores." médecine/sciences 34, no. 2 (February 2018): 161–65. http://dx.doi.org/10.1051/medsci/20183402014.
Full textINOI, Hiroto, Manami NAKANISHI, and Ryosuke FUKUMOTO. "Transport Mode Change from Special Transport Service to Bus Transport." INFRASTRUCTURE PLANNING REVIEW 27 (2010): 925–33. http://dx.doi.org/10.2208/journalip.27.925.
Full textAudran, M., and E. Varlet-Marie. "Augmentation du transport de l’oxygène par le sang : méthodes et stratégies de détection." Science & Sports 19, no. 1 (February 2004): 1–7. http://dx.doi.org/10.1016/j.scispo.2003.09.004.
Full textFerreira, Paulo, Constantin Zavgorodnii, and Luís Veiga. "edgeTrans - Edge transport mode detection." Pervasive and Mobile Computing 69 (November 2020): 101268. http://dx.doi.org/10.1016/j.pmcj.2020.101268.
Full textIkonen, Elina. "Cholesterol transport: mode and regulation." Chemistry and Physics of Lipids 154 (August 2008): S8. http://dx.doi.org/10.1016/j.chemphyslip.2008.05.021.
Full textMathieu-Scheers, Emilie, Sarra Bouden, Valérie Bertagna, Benoît Cagnon, Fabienne Warmont, Emmanuelle Joigneaux, and Christine Vautrin-Ul. "Capteurs électrochimiques carbonés pour la détection de micropolluants émergents et prioritaires." La Houille Blanche, no. 1 (February 2018): 53–59. http://dx.doi.org/10.1051/lhb/2018008.
Full textKusdian, R. Didin. "Simple macro aggregate transport demand modelling in river transport study." MATEC Web of Conferences 181 (2018): 12002. http://dx.doi.org/10.1051/matecconf/201818112002.
Full textZhou, Gui Liang, Ding Xin Wu, Li Na Mao, and Yan Ru Zhu. "Conception and Design of the Launched Transport Mode." Advanced Materials Research 1065-1069 (December 2014): 3314–19. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.3314.
Full textGhanem, E. M., C. E. Singer, G. Bateman, and D. P. Stotler. "Multiple mode model of tokamak transport." Nuclear Fusion 30, no. 8 (August 1, 1990): 1595–603. http://dx.doi.org/10.1088/0029-5515/30/8/016.
Full textDissertations / Theses on the topic "Détection du mode de transport"
Lanciotti, Noemi. "Amélioration de la robustesse des machines synchrones spéciales multi phases dans un contexte de transport urbain." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLN055/document.
Full textFive-phase flux switching machines have a fault tolerance and robustness that makes them very interesting from the point of view of reliability, as shown in chapter one of this work. In our studies we have explored the possibility of detecting faults that affect this type of machine using the signature of stator vibrations.Using the physical and mathematical tools presented in chapter two, we improved two multyphisics models, one based on finite elements method that it's presented in chapter three and the seconde one analitycal model, called permeance networks, in chapter four. The vibratory behavior of the machine was studied using these two models, under healthy and faulty conditions, in order to know how this behavior is influenced by the electrical and magnetic magnitudes of the machine. In addition, we have studied the possibility of detecting and discriminating different types of faults. Analytical model is a good estimator of fault behavior of the machine, despite its differences with the simulation.In chapter five, the two multiphysical models have been validated by experimental tests and we have been able to explain fault behavior by mechanical origin rather than magnetic origin.Finally, in chapter six, we used both models to study the fault behavior of the machine, at speeds above the experimental limit (3100 rpm)
Drosouli, Ifigeneia. "Multimodal machine learning methods for pattern analysis in smart cities and transportation." Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0028.
Full textIn the context of modern, densely populated urban environments, the effective management of transportation and the structure of Intelligent Transportation Systems (ITSs) are paramount. The public transportation sector is currently undergoing a significant expansion and transformation with the objective of enhancing accessibility, accommodating larger passenger volumes without compromising travel quality, and embracing environmentally conscious and sustainable practices. Technological advancements, particularly in Artificial Intelligence (AI), Big Data Analytics (BDA), and Advanced Sensors (AS), have played a pivotal role in achieving these goals and contributing to the development, enhancement, and expansion of Intelligent Transportation Systems. This thesis addresses two critical challenges within the realm of smart cities, specifically focusing on the identification of transportation modes utilized by citizens at any given moment and the estimation and prediction of transportation flow within diverse transportation systems. In the context of the first challenge, two distinct approaches have been developed for Transportation Mode Detection. Firstly, a deep learning approach for the identification of eight transportation media is proposed, utilizing multimodal sensor data collected from user smartphones. This approach is based on a Long Short-Term Memory (LSTM) network and Bayesian optimization of model’s parameters. Through extensive experimental evaluation, the proposed approach demonstrates remarkably high recognition rates compared to a variety of machine learning approaches, including state-of-the-art methods. The thesis also delves into issues related to feature correlation and the impact of dimensionality reduction. The second approach involves a transformer-based model for transportation mode detection named TMD-BERT. This model processes the entire sequence of data, comprehends the importance of each part of the input sequence, and assigns weights accordingly using attention mechanisms to grasp global dependencies in the sequence. Experimental evaluations showcase the model's exceptional performance compared to state-of-the-art methods, highlighting its high prediction accuracy. In addressing the challenge of transportation flow estimation, a Spatial-Temporal Graph Convolutional Recurrent Network is proposed. This network learns from both the spatial stations network data and time-series of historical mobility changes to predict urban metro and bike sharing flow at a future time. The model combines Graph Convolutional Networks (GCN) and Long Short-Term Memory (LSTM) Networks to enhance estimation accuracy. Extensive experiments conducted on real-world datasets from the Hangzhou metro system and the NY City bike sharing system validate the effectiveness of the proposed model, showcasing its ability to identify dynamic spatial correlations between stations and make accurate long-term forecasts
Abdi, Moussa. "Détection multi-utilisateurs en mode CDMA." Paris, ENST, 2002. http://www.theses.fr/2002ENST0027.
Full textLoureiro, Rui. "Bond graph model based on structural diagnosability and recoverability analysis : application to intelligent autonomous vehicles." Thesis, Lille 1, 2012. http://www.theses.fr/2012LIL10079/document.
Full textThis work deals with structural fault recoverability analysis using the bond graph model. The objective is to exploit the structural and causal properties of the bond graph tool in order to perform both diagnosis and control analysis in the presence of faults. Indeed, the bond graph tool enables to verify the structural conditions of fault recoverability not only from a control perspective but also from a diagnosis one. In this way, the set of faults that can be recovered is obtained previous to industrial implementation. In addition, a novel way to estimate the fault by a disturbing power furnished to the system, enabled to extend the results of structural fault recoverability by performing a local adaptive compensation directly from the bond graph model. Finally, the obtained structural results are validated on a redundant intelligent autonomous vehicle
Lewis, Dale B. (Dale Brian). "Freight mode choice : air transport versus ocean transport in the 1990s." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11828.
Full textLu, Simon. "Mode-Resolved Thermal Transport Across Semiconductor Heterostructures." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/708.
Full textGourcuff, Claire. "Étude de la variabilité de la circulation du gyre subpolaire de l’Atlantique Nord à partir des données Ovide et des mesures satellitaires." Brest, 2008. http://www.theses.fr/2008BRES2042.
Full textThe cyclonic circulation of the North Atlantic subpolar gyre, between 50°N and 63°N, plays a key role in the climate variability. The Ovide program contributes to the observation of the circulation in this region. A section is repeated every two years in summer since 2002 between Greenland and Portugal following a path close the Fourex 1997 section. To get transport estimates across the sections, a geostrophic box inverse model is used, constrained with direct current measurements. Our new estimates of Fourex transports show the need to use constraints temporally associated with the section to get transports estimates representative of the circulation at the section realisation dates. It is also shown that altimetry velocities can be used instead of ADCP measurements to get transports across sections with the inverse model, provided that the a priori errors is correctly evaluated. Analysis of circulation across Ovide 2006 section display significantly weaker transports compared to 1997, 2002 and 2004, for aIl the main currents as well as for the Meridional Overturning Cell and the heat transport. Altimetry is used to interpret surface variability along the Ovide section from 1992 to 2007. An index is defined, which seems to indicate that northward surface transport was especially low during the whole year 2006 and turn back to less extreme values in the following years. Variability in freshwater fluxes across Fourex 1997, Ovide 2002, 2004 and 2006 sections is revealed in the last chapter, together with the EGCC position. This coastal current transport represents 15% of the total freshwater transport across the section
Nam, Ki Chan. "Mode choice analysis for commodity transport in Korea." Thesis, Boston Spa, U.K. : British Library Document Supply Centre, 1992. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.248299.
Full textHamed, Myriam. "Electron heat transport in tokamak H-mode pedestals." Electronic Thesis or Diss., Aix-Marseille, 2019. http://theses.univ-amu.fr.lama.univ-amu.fr/191128_HAMED_534gjvrc761ijwn176jbu525de_TH.pdf.
Full textIn H-mode plasmas, the modeling of the pedestal dynamics is an important issue to predict temperature and density profiles in the tokamak edge and therefore in the core. The EPED model, based on the stability of large scales MagnetoHydroDynamic (MHD) modes, is most commonly used to characterize the pedestal region. The EPED model has been successful until now. However, EPED model does not take into account small scales instabilities linked the the sharp pressure gradient and the pedestal characteristics prediction in terms of width and height is still open. Moreover, some recent analysis of JET plasmas suggest that another class of instabilities, called microtearing modes, may be responsible for electron heat transport in the pedestal, and thereby play some role in determining the pedestal characteristics. Microtearing modes belong to a class of instabilities where a modification of the magnetic field line topology is induced at the ion Larmor radius scale. This leads to the formation of magnetic islands, which can enhance the electron heat transport. The stability of MTMs has been theoretically studied in the past showing that a slab current sheet is stable in the absence of collisions. In contrast, recent gyrokinetic simulations in toroidal geometry found unstable MTMs, even at low collisionality. The purpose of our work is to improve the MTM stability understanding by comparing new analytical theory to linear gyrokinetic simulations. More precisely, physical mechanisms (magnetic drift, electric potential) are progressively included in the analytical description to recover the numerical simulations results and to "reconcile" numerical MTM investigations with theory
Liu, Ying-Chun, Thomas J. Roussel, Joshua D. Moore, Qi Wang, and Keith E. Gubbins. "Dual-mode diffusion of argon confined in carbon nanotube bundles." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-191369.
Full textBooks on the topic "Détection du mode de transport"
Singapore. Dept. of Statistics., ed. Transport mode, households, and housing characteristics. Singapore: Dept. of Statistics, 1997.
Find full textStatistical Office of the European Communities, ed. Aussenhandel nach verkehrszweigen =: External trade by mode of transport = commerce extérieur par mode de transport. Luxembourg: Office for Official Publications of the European Communities, 1992.
Find full textHirose, Akira. Skin size electromagnetic drift mode and anomalous transport. Saskatoon, Sask: University of Saskatchewan, Plasma Physics Laboratory, 1991.
Find full textHirose, Akira. Destabilized ion acoustic transit mode and anomalous transport in tokamaks. Saskatoon, Sask: Plasma Physics Laboratory, University of Saskatchewan, 1991.
Find full textVictoria. Office of the Auditor-General. Developing cycling as a safe and appealing mode of transport. Melbourne, Vic: Victorian Government Printer, 2011.
Find full textW, Canters G., Vijgenboom E, and NATO Advanced Research Workshop on Biological Electron Transfer Chains: Genetics, Composition, and Mode of Operation (1997 : Tomar, Portugal), eds. Biological electron transfer chains: Genetics, composition, and mode of operation. Dordrecht: Kluwer Academic Publishers, 1998.
Find full textHaworth, Jenny. Road's the mode: The story of New Zealand's road transport industry. Shirley, Christchurch, New Zealand: Wily Publications Ltd, 2013.
Find full textHirose, Akira. Anomalous transport due to the ion acoustic drift mode in tokamaks. Saskatoon, Sask: Plasma Physics Laboratory, University of Saskatchewan, 1994.
Find full textGueye, Bonfils. Processus de développement d'une agglomération et interaction de deux systèmes de transport mode conventionnel et mode traditionnel à Abidjan. Lille: A.N.R.T. Université de Lille III, 1989.
Find full textMitullah, W. V. Management of urban services in Nairobi: Focus on matatu mode of public transport. Nairobi, Kenya: Mazingira Institute, 1985.
Find full textBook chapters on the topic "Détection du mode de transport"
Jia, Limin, Xuelei Meng, and Yong Qin. "Transport Organization Mode in Emergencies." In Advances in High-speed Rail Technology, 43–52. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4597-4_3.
Full textZitterbart, M., A. N. Tantawy, B. Stiller, and T. Braun. "On Transport Systems for ATM Networks." In Asynchronous Transfer Mode Networks, 75–87. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2844-9_8.
Full textVesey, Godfrey. "Is Talk a Mode of Transport?" In Inner and Outer, 189–97. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-21639-0_13.
Full textBaguette, Yves, Luc Léonard, Guy Leduc, and André Danthine. "The OSI95 Connection-Mode Transport Service." In The OSI95 Transport Service with Multimedia Support, 181–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85165-0_10.
Full textBaguette, Yves. "The OSI95 Connectionless-Mode Transport Services." In The OSI95 Transport Service with Multimedia Support, 212–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85165-0_12.
Full textNash, C. A., and A. E. Whiteing. "Mode Choice: A Total Distribution Cost Approach." In Freight Transport Planning and Logistics, 121–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-02551-2_4.
Full textSalazar-Serna, Kathleen, Lorena Cadavid, Carlos J. Franco, and Kathleen M. Carley. "Simulating Transport Mode Choices in Developing Countries." In Social, Cultural, and Behavioral Modeling, 209–18. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43129-6_21.
Full textChernavskii, Dmitrii S., Nina M. Chernavskaya, and Ludmila A. Uvarova. "Tunnel Transport of Electrons at Anharmonic Accepting Mode." In Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media, 181–94. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4799-0_16.
Full textKabiri, Hichame, and Youssef Ghanou. "Predicting the Mode of Transport from GPS Trajectories." In Proceedings of the 5th International Conference on Big Data and Internet of Things, 194–207. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07969-6_15.
Full textMladenović, Goran. "Key mode-specific issues in funding and financing of transport infrastructure." In Funding and Financing Transport Infrastructure, 13–36. Abingdon, Oxon ; New York, NY : Routledge, 2018. |: Routledge, 2017. http://dx.doi.org/10.4324/9781315231822-2.
Full textConference papers on the topic "Détection du mode de transport"
Kamalian, Mahdieh. "Fog Transport Mode Detection." In Middleware '20: 21st International Middleware Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3429351.3431743.
Full textHorton, W., J. H. Kim, G. T. Hoang, H. Park, S. M. Kaye, B. P. LeBlanc, and Sadruddin Benkadda. "Electron Temperature Gradient Mode Transport." In TURBULENT TRANSPORT IN FUSION PLASMAS: First ITER International Summer School. AIP, 2008. http://dx.doi.org/10.1063/1.2939039.
Full textHubbell, J., S. C. Wirasinghe, N. McKendrick, D. Morgan, F. Wong, and R. Thilakaratne. "Mode succession in a public transit corridor." In URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090031.
Full textKarasmaa, N., and V. Voltti. "Personal repertoire of travel modes and mode change potential." In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060061.
Full textLu, Huapu, and Tingting Hua. "Forecasting Transport Mode Sharing in Beijing." In 15th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479292.342.
Full textAl-Ahmadi, H. M. "Development of intercity work mode choice model for Saudi Arabia." In URBAN TRANSPORT 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/ut070641.
Full textGarmendia, M., J. M. Ureña, A. Rivas, J. M. Coronado, J. M. Menéndez,, I. Gallego, and V. Romero. "High Speed Rail, a new mode of suburban metropolitan transport." In URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090241.
Full textVenezia, E. "Urban travellers’ mode choice: towards a new culture for urban mobility." In URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090091.
Full textZhang, Wei, and Xiaofei Yan. "Agent Transport Security Based on Freezing Mode." In 2010 International Conference on Communications and Intelligence Information Security (ICCIIS). IEEE, 2010. http://dx.doi.org/10.1109/icciis.2010.13.
Full textLiu, Ming. "Transport Mode Choice Based on Material Characters." In 2nd International Conference on Education, Management and Social Science (ICEMSS 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/icemss-14.2014.108.
Full textReports on the topic "Détection du mode de transport"
Guttenfelder, W., S. M. Kaye, W. M. Nevins, E. Wang, R. E. Bell, G. W. Hammett, B. P. LeBlanc, and D. R. Mikkelsen. Electromagnetic Transport From Microtearing Mode Turbulence. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1010969.
Full textSinger, C. E., E. S. Ghanem, G. Bateman, and D. P. Stotler. Multiple mode model of tokamak transport. Office of Scientific and Technical Information (OSTI), July 1989. http://dx.doi.org/10.2172/6054425.
Full textTouch, J., L. Eggert, and Y. Wang. Use of IPsec Transport Mode for Dynamic Routing. RFC Editor, September 2004. http://dx.doi.org/10.17487/rfc3884.
Full textBrandt, Alan, and Omar M. Knio. Mass Transport by Second Mode Internal Solitary Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada590593.
Full textBrandt, Alan, and Omar M. Knio. Mass Transport by Second Mode Internal Solitary Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598900.
Full textBrandt, Alan, and Omar M. Knio. Mass Transport by Second Mode Internal Solitary Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada624562.
Full textBateman, G. Theory-based transport simulations of TFTR L-mode temperature profiles. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/5003018.
Full textSesnic, S., R. Kaita, S. M. Kaye, M. Okabayashi, and J. Dunlap. Periods of enhanced transport during H-mode in PBX-M. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10129724.
Full textIgoe, K., and J. Solinas. AES Galois Counter Mode for the Secure Shell Transport Layer Protocol. RFC Editor, August 2009. http://dx.doi.org/10.17487/rfc5647.
Full textM.H. Redi, W. Dorland, C.L. Fiore, P.T. Bonoli, M.J. Greenwald, J.E. Rice, J.A. Baumgaertel, et al. Microturbulent Drift Mode Stability before Internal Transport Barrier Formation in the Alcator C-Mod Radio Frequency Heated H-mode. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/834538.
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