Academic literature on the topic 'Simulation à base de processus'
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Journal articles on the topic "Simulation à base de processus"
Curie, Florence, Annabelle Mas, Julien Perret, Anne Puissant, and Anne Ruas. "Simulation d’un processus de densification du tissu urbain à base d’agents." Revue internationale de géomatique 21, no. 4 (December 30, 2011): 489–511. http://dx.doi.org/10.3166/rig.15.489-511.
Full textCharness, Neil. "Psychological Models of Aging: How, Who, and What? A Comment." Canadian Journal on Aging / La Revue canadienne du vieillissement 14, no. 1 (1995): 67–73. http://dx.doi.org/10.1017/s0714980800010503.
Full textLebl, Aleksandar, Dragan Mitić, and Žarko Markov. "A role of Excel program in telecommunication processes simulation." Scientific Technical Review 73, no. 1 (2023): 13–17. http://dx.doi.org/10.5937/str2301013l.
Full textLemogne, C. "L’imagerie cérébrale fonctionnelle : un outil au service de la psychopathologie ?" European Psychiatry 30, S2 (November 2015): S3—S4. http://dx.doi.org/10.1016/j.eurpsy.2015.09.021.
Full textBursi, Fabio, Andrea Ferrara, Andrea Grassi, and Chiara Ronzoni. "Simulating Continuous Time Production Flows in Food Industry by Means of Discrete Event Simulation." International Journal of Food Engineering 11, no. 1 (February 1, 2015): 139–50. http://dx.doi.org/10.1515/ijfe-2014-0002.
Full textLin, Tzu-Shun, and Fang-Yi Cheng. "Impact of Soil Moisture Initialization and Soil Texture on Simulated Land–Atmosphere Interaction in Taiwan." Journal of Hydrometeorology 17, no. 5 (April 14, 2016): 1337–55. http://dx.doi.org/10.1175/jhm-d-15-0024.1.
Full textMorrow, Jarrett D., and Brandon W. Higgs. "CallSim: Evaluation of Base Calls Using Sequencing Simulation." ISRN Bioinformatics 2012 (December 12, 2012): 1–10. http://dx.doi.org/10.5402/2012/371718.
Full textBarton, G., X. Li, and Gerhard Hirt. "Finite-Element Modeling of Multi-Pass Forging of Nickel-Base Alloys Using a Multi-Mesh Method." Materials Science Forum 539-543 (March 2007): 2503–8. http://dx.doi.org/10.4028/www.scientific.net/msf.539-543.2503.
Full textThews, O. "Simulation Analysis of the Influence of Hemodialysis Control Parameters on Exchange Processes during Therapy." International Journal of Artificial Organs 15, no. 4 (April 1992): 213–21. http://dx.doi.org/10.1177/039139889201500405.
Full textZarin-Nejadan, Milad. "Fiscalité, q de Tobin et investissement privé en Suisse." Recherches économiques de Louvain 58, no. 2 (1992): 213–35. http://dx.doi.org/10.1017/s0770451800083688.
Full textDissertations / Theses on the topic "Simulation à base de processus"
Troncoso, Alan. "Conditional simulations of reservoir models using Sequential Monte-Carlo methods." Electronic Thesis or Diss., Université Paris sciences et lettres, 2022. http://www.theses.fr/2022UPSLM055.
Full textA sequential Monte Carlo method, called particle filtering, has been used in a spatial context to produce simulations of two reservoir models that respect the observed facies at wells. The first one, the Boolean model, is an object-based model. It canbe used to model two-facies reservoirs: One porous facies, and an impermeable facies that acts as a barrier for the fluidcirculation. The model is mathematically tractable: There exists statistical methods to infer its parameters as well as aniterative conditional simulation algorithm. However, the convergence rate of this algorithm is difficult to establish. Asequential algorithm based on the particle filtering is proposed as an alternative. It finally appears that this sequentialalgorithm outperforms the iterative algorithm in terms of quality of results and computational time.The second model, Flumy, is a model of sedimentary processes. It is used for representing the formation of meanderingchannelized systems. This model can reproduce the heterogeneity induced by the complex geometries of sedimentary deposits.The current algorithm implemented in Flumy modifies dynamically the processes for fitting the data at best to produceconditional simulations. The set-up of this algorithm requires a deep knowledge of the processes to modify them and avoidartifacts and biases. For this reason, another conditioning algorithm, called sequential, has been developed. It consists in building the reservoir by stacking horizontal layers using particle filtering, thus allowing the observed facies to beassimilated in each layer. These two algorithms have been compared on a synthetic case and on a real case (Loranca Basin,Spain). Both give comparable results, but they differ in terms of the resources required for their implementation: whereasthe sequential algorithm needs high computer power, the dynamic algorithm requires a fine understanding of the processes to be modified
Beaujouan, David. "Simulation des matériaux magnétiques à base Cobalt par Dynamique Moléculaire Magnétique." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00760645.
Full textBlondet, Gaëtan. "Système à base de connaissances pour le processus de plan d'expériences numériques." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2363/document.
Full textIn order to improve industrial competitiveness, product design relies more and more on numerical tools, such as numerical simulation, to develop better and cheaper products faster. Numerical Design of Experiments (NDOE) are more and more used to include variabilities during simulation processes, to design more robust, reliable and optimized product earlier in the product development process. Nevertheless, a NDOE process may be too expensive to be applied to a complex product, because of the high computational cost of the model and the high number of required experiments. Several methods exist to decrease this computational cost, but they required expert knowledge to be efficiently applied. In addition to that, NDoE process produces a large amount of data which must be managed. The aim of this research is to propose a solution to define, as fast as possible, an efficient NDoE process, which produce as much useful information as possible with a minimal number of simulations, for complex products. The objective is to shorten both process definition and execution steps. A knowledge-based system is proposed, based on a specific ontology and a bayesian network, to capitalise, share and reuse knowledge and data to predict the best NDoE process definition regarding to a new product. This system is validated on a product from automotive industry
Hoock, Jean-Baptiste. "Contributions to Simulation-based High-dimensional Sequential Decision Making." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00912338.
Full textDinaharison, Jean Bienvenue. "Conception d’une approche spatialisée à base d’agent pour coupler les modèles mathématiques et informatiques : application à la modélisation du processus écosystémique du sol." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS184.
Full textSoil is a highly heterogeneous environment in which many processes interact to provide ecosystem services. Model coupling approaches propose to define such system by using a modular architecture in which various processes, represented by models, communicate to reproduce different aspects of a phenomenon such as soil functioning. In this thesis project, we develop such an approach for the purpose of modelling soil functioning. The challenges of such a scheme lie in solving representation problems of soil processes. These representation problems originate from the fact that models from various disciplines are reused to describe the processes. By representations problems, we mean model description which can be (individual or equation based), the temporal execution settings and data resolution. These coupling constraints are addressed by a number of approaches in the literature. All of them propose satisfactory solutions to these constraints in their respective application fields. In our approach, we use the agent paradigm to encapsulate the various soil processes. Then processes will communicate through the space by using resources inside it. The behaviour of the processes then depends on the availability of resources. A coordination problem can arise from this type of coupling, as processes may consume the resource simultaneously while the resource may not support this demand. To overcome that matter, we use an action-theoretic technique called Influence-Reaction to define strategies to manage this type of situation. We used algorithms suggested by the abbundant litterature to manage any processes temporality issues. This coupling approach was applied to a model of organic matter decomposition in which several processes (earthworms, microbes and roots) compete for soil ressources. The results suggest that the use of our approach is suitable for modelling soil functioning, but also gives more accurate indications of resource availability
Li, Haizhou. "Modeling and verification of probabilistic data-aware business processes." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22563/document.
Full textThere is a wide range of new applications that stress the need for business process models that are able to handle imprecise data. This thesis studies the underlying modelling and analysis issues. It uses as formal model to describe process behaviours a labelled transitions system in which transitions are guarded by conditions defined over a probabilistic database. To tackle verification problems, we decompose this model to a set of traditional automata associated with probabilities named as world-partition automata. Next, this thesis presents an approach for testing probabilistic simulation preorder in this context. A complexity analysis reveals that the problem is in 2-exptime, and is exptime-hard, w.r.t. expression complexity while it matches probabilistic query evaluation w.r.t. data-complexity. Then P-LTL and P-CTL model checking methods are studied to verify this model. In this context, the complexity of P-LTL and P-CTL model checking is in exptime. Finally a prototype called ”PRODUS” which is a modeling and verification tool is introduced and we model a realistic scenario in the domain of GIS (graphical information system) by using our approach
Sirin, Göknur. "Supporting multidisciplinary vehicle modeling : towards an ontology-based knowledge sharing in collaborative model based systems engineering environment." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2015. http://www.theses.fr/2015ECAP0024/document.
Full textSimulation models are widely used by industries as an aid for decision making to explore and optimize a broad range of complex industrial systems’ architectures. The increased complexity of industrial systems (cars, airplanes, etc.), ecological and economic concerns implies a need for exploring and analysing innovative system architectures efficiently and effectively by using simulation models. However, simulations designers currently suffer from limitations which make simulation models difficult to design and develop in a collaborative, multidisciplinary design environment. The multidisciplinary nature of simulation models requires a specific understanding of each phenomenon to simulate and a thorough description of the system architecture, its components and connections between components. To accomplish these objectives, the Model-Based Systems Engineering (MBSE) and Information Systems’ (IS) methodologies were used to support the simulation designer’s analysing capabilities in terms of methods, processes and design tool solutions. The objective of this thesis is twofold. The first concerns the development of a methodology and tools to build accurate simulation models. The second focuses on the introduction of an innovative approach to design, product and integrate the simulation models in a “plug and play" manner by ensuring the expected model fidelity. However, today, one of the major challenges in full-vehicle simulation model creation is to get domain level simulation models from different domain experts while detecting any potential inconsistency problem before the IVVQ (Integration, Verification, Validation, and Qualification) phase. In the current simulation model development process, most of the defects such as interface mismatch and interoperability problems are discovered late, during the IVVQ phase. This may create multiple wastes, including rework and, may-be the most harmful, incorrect simulation models, which are subsequently used as basis for design decisions. In order to address this problem, this work aims to reduce late inconsistency detection by ensuring early stage collaborations between the different suppliers and OEM. Thus, this work integrates first a Detailed Model Design Phase to the current model development process and, second, the roles have been re-organized and delegated between design actors. Finally an alternative architecture design tool is supported by an ontology-based DSL (Domain Specific Language) called Model Identity Card (MIC). The design tools and mentioned activities perspectives (e.g. decisions, views and viewpoints) are structured by inspiration from Enterprise Architecture Frameworks. To demonstrate the applicability of our proposed solution, engine-after treatment, hybrid parallel propulsion and electric transmission models are tested across automotive and aeronautic industries
Prodel, Martin. "Modélisation automatique et simulation de parcours de soins à partir de bases de données de santé." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEM009/document.
Full textDuring the last two decades, the amount of data collected in Information Systems has drastically increased. This large amount of data is highly valuable. This reality applies to health-care where the computerization is still an ongoing process. Existing methods from the fields of process mining, data mining and mathematical modeling cannot handle large-sized and variable event logs. Our goal is to develop an extensive methodology to turn health data from event logs into simulation models of clinical pathways. We first introduce a mathematical framework to discover optimal process models. Our approach shows the benefits of combining combinatorial optimization and process mining techniques. Then, we enrich the discovered model with additional data from the log. An innovative combination of a sequence alignment algorithm and of classical data mining techniques is used to analyse path choices within long-term clinical pathways. The approach is suitable for noisy and large logs. Finally, we propose an automatic procedure to convert static models of clinical pathways into dynamic simulation models. The resulting models perform sensitivity analyses to quantify the impact of determinant factors on several key performance indicators related to care processes. They are also used to evaluate what-if scenarios. The presented methodology was proven to be highly reusable on various medical fields and on any source of event logs. Using the national French database of all the hospital events from 2006 to 2015, an extensive case study on cardiovascular diseases is presented to show the efficiency of the proposed framework
Michel, Thierry. "Test en ligne des systèmes à base de microprocesseur." Phd thesis, Grenoble INPG, 1993. http://tel.archives-ouvertes.fr/tel-00343488.
Full textEUGENE, REMI. "Etude architecturale, modelisation et realisation d'un processeur a base de gapp pour le traitement d'images temps reel et la simulation par automate cellulaire." Université Louis Pasteur (Strasbourg) (1971-2008), 1990. http://www.theses.fr/1990STR13043.
Full textBooks on the topic "Simulation à base de processus"
Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-based Algorithms for Markov Decision Processes. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-690-2.
Full textChang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5022-0.
Full textSoo, Chang Hyeong, ed. Simulation-based algorithms for Markov decision processes. London: Springer, 2007.
Find full textChang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. London: Springer London, 2013.
Find full textYuktadatta, Panurit. Simulation of a parallel processor based small tactical system. Monterey, Calif: Naval Postgraduate School, 1991.
Find full textBirmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. [London]: Institution of Mechanical Engineers, 1991.
Find full textBirmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. [London]: Institution of MechanicalEngineers, 1991.
Find full textShedler, G. S. Regenerative stochastic simulation. Boston: Academic Press, 1993.
Find full textUnited States. General Accounting Office. National Security and International Affairs Division. Base closures. [Washington, D.C.]: The Office, 1992.
Find full textMarkov chain Monte Carlo simulations and their statistical analysis: With web-based Fortran code. Hackensack, NJ: World Scientific, 2004.
Find full textBook chapters on the topic "Simulation à base de processus"
Chenevier, P., G. Kamarinos, and G. Pananakakis. "Semianalytical Universal Simulation of the Electrical Properties of the Permeable Base Transistor." In Simulation of Semiconductor Devices and Processes, 309–12. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6657-4_76.
Full textMolzer, Wolfgang. "Ge Profile for Minimum Neutral Base Transit Time in Si/Si1-yGey Heterojunction Bipolar Transistors." In Simulation of Semiconductor Devices and Processes, 102–5. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6619-2_24.
Full textMouis, M., H. J. Gregory, S. Denorme, D. Mathiot, P. Ashburn, D. J. Robbins, and J. L. Glasper. "Physical Modeling of the Enhanced Diffusion of Boron Due to Ion Implantation in Thin Base npn Bipolar Transistors." In Simulation of Semiconductor Devices and Processes, 141–44. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6657-4_34.
Full textMarcon, J., S. Gautier, S. Koumetz, K. Ketata, and M. Ketata. "Simulation of Be diffusion in the base layer of InGaAs/InP Heterojunction Bipolar Transistors." In Simulation of Semiconductor Processes and Devices 1998, 243–46. Vienna: Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6827-1_61.
Full textKrallics, György, Stan T. Mandziej, and György Ziaja. "Determination of Thermal-Mechanical Properties of Aluminium Base PM Material for Computer Simulation of Manufacturing Process." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, 178–83. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch28.
Full textSulis, Emilio, and Kuldar Taveter. "The Analysis of Business Processes." In Agent-Based Business Process Simulation, 13–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6_2.
Full textKümpel, Michaela, Christian A. Mueller, and Michael Beetz. "Semantic Digital Twins for Retail Logistics." In Dynamics in Logistics, 129–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_7.
Full textBeygi, Reza, Eduardo Marques, and Lucas F. M. da Silva. "Data Based Simulation." In Computational Concepts in Simulation of Welding Processes, 85–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97910-2_5.
Full textSulis, Emilio, and Kuldar Taveter. "Beyond Process Simulation." In Agent-Based Business Process Simulation, 175–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6_9.
Full textSulis, Emilio, and Kuldar Taveter. "Introducing Agent-Based Simulation for the Business Processes." In Agent-Based Business Process Simulation, 3–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6_1.
Full textConference papers on the topic "Simulation à base de processus"
Zhou, ChengHan, and WeiDong Wang. "Highway Bridge Construction Process Simulation Base on 4D Visualization." In GeoHunan International Conference 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41042(349)18.
Full textKopp, R., M. Tschirnich, M. Wolske, and J. Klöwer. "Designing Hot Working Processes of Nickel Base Superalloys Using FEM Simulation." In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0429.
Full textMatsui, T., H. Takizawa, and H. Kikuchi. "Numerical Simulation of Ring Rolling Process for Ni-Base Articles." In Superalloys. TMS, 2004. http://dx.doi.org/10.7449/2004/superalloys_2004_907_915.
Full textPark, Hong-Hyun, Chihak Ahn, Woosung Choi, Keun-Ho Lee, and Youngkwan Park. "Multiscale strain simulation for semiconductor devices base on the valence force field and the finite element methods." In 2015 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, 2015. http://dx.doi.org/10.1109/sispad.2015.7292246.
Full textKostogryzov, A., P. Stepanov, A. Nistratov, G. Nistratov, O. Atakishchev, and V. Kiselev. "Risks Prediction and Processes Optimization for Complex Systems on the Base of Probabilistic Modeling." In 2016 International Conference on Applied Mathematics, Simulation and Modelling. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/amsm-16.2016.43.
Full textPiech, Henryk, Grzegorz Grodzki, and Aleksandra Ptak. "Parallel Simulation of Dynamic Communication Processes on the Base of Probability Time Automata." In 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SCITEPRESS - Science and Technology Publications, 2014. http://dx.doi.org/10.5220/0005102702370242.
Full textPei, J., G. Wang, B. Rong, and L. Yun. "Dynamics modeling and simulation on single-base propellant deterrent coating process." In 1st International Conference on Mechanical System Dynamics (ICMSD 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.1811.
Full textKundas, S., and A. Ilyushenko. "Computer Simulation and Control of Plasma Spraying Processes." In ITSC2001, edited by Christopher C. Berndt, Khiam A. Khor, and Erich F. Lugscheider. ASM International, 2001. http://dx.doi.org/10.31399/asm.cp.itsc2001p0925.
Full textSiegele, Dieter, and Marcus Brand. "Numerical Simulation of Residual Stresses Due to Cladding Process." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26586.
Full textMarqués Valderrama, Israel, Ricardo Chacartegui Ramirez, Jose Antonio Becerra Villanueva, Carlos Ortiz Dominguez, and Diego Antonio Rodríguez Pastor. "Efficiency Analysis in the Chemical Looping Process of Base Metals." In 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023). Las Palmas De Gran Canaria, Spain: ECOS 2023, 2023. http://dx.doi.org/10.52202/069564-0212.
Full textReports on the topic "Simulation à base de processus"
Boysen-Urban, Kirsten, Hans Grinsted Jensen, and Martina Brockmeier. Extending the GTAP Data Base and Model to Cover Domestic Support Issues using the EU as Example. GTAP Technical Paper, June 2014. http://dx.doi.org/10.21642/gtap.tp35.
Full textBäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.
Full textKompaniets, Alla, Hanna Chemerys, and Iryna Krasheninnik. Using 3D modelling in design training simulator with augmented reality. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3740.
Full textMantock, James M., and Michael T. Gately. Casualty Handling Simulation Using the Scenario-based Engineering Process. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada375590.
Full textButler, Brett, Tony Valle, and Jim Watson. Advanced Distributed Simulation Technology. SIMWORLD Data Base. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada280262.
Full textVoloshynov, Serhii A., Felix M. Zhuravlev, Ivan M. Riabukha, Vitaliy V. Smolets, and Halyna V. Popova. Application of VR technologies in building future maritime specialists' professional competences. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4623.
Full textMay, J., R. Chen, D. Jefferson, J. Leek, I. Kaplan, and J. Tannahill. Petascale Simulation Initiative Tech Base: FY2007 Final Report. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/923105.
Full textKurec, Aleksander M., and Harry J. Zywiol. Motion Base Simulation Test of the M101A2 Trailer. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada252417.
Full textBauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40846.
Full textStraatsma, TP, J. A. McCammon, John H. Miller, Paul E. Smith, Erich R. Vorpagel, Chung F. Wong, and Martin W. Zacharias. Biomolecular Simulation of Base Excision Repair and Protein Signaling. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/877558.
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