Auswahl der wissenschaftlichen Literatur zum Thema „Estimation de terme source“
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Zeitschriftenartikel zum Thema "Estimation de terme source"
Xiao, Yingchun, Yang Yang und Feng Zhu. „A Separation Method for Electromagnetic Radiation Sources of the Same Frequency“. Journal of Electromagnetic Engineering and Science 23, Nr. 6 (30.11.2023): 521–29. http://dx.doi.org/10.26866/jees.2023.6.r.197.
Der volle Inhalt der QuelleIlyas, Muhammad, Agah D. Garnadi und Sri Nurdiati. „Adaptive Mixed Finite Element Method for Elliptic Problems with Concentrated Source Terms“. Indonesian Journal of Science and Technology 4, Nr. 2 (09.07.2019): 263–69. http://dx.doi.org/10.17509/ijost.v4i2.18183.
Der volle Inhalt der QuelleWu, Tao, Yiwen Li, Zhenghong Deng, Bo Feng und Xinping Ma. „Parameter Estimation for Two-Dimensional Incoherently Distributed Source with Double Cross Arrays“. Sensors 20, Nr. 16 (14.08.2020): 4562. http://dx.doi.org/10.3390/s20164562.
Der volle Inhalt der QuelleRyanto, Theo Alvin, Jupiter Sitorus Pane, Muhammad Budi Setiawan, Ihda Husnayani, Anik Purwaningsih und Hendro Tjahjono. „THE PRELIMINARY STUDY ON IMPLEMENTING A SIMPLIFIED SOURCE TERMS ESTIMATION PROGRAM FOR EARLY RADIOLOGICAL CONSEQUENCES ANALYSIS“. JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 25, Nr. 2 (28.07.2023): 61. http://dx.doi.org/10.55981/tdm.2023.6869.
Der volle Inhalt der QuelleOliveira, André José Pereira de, Luiz Alberto da Silva Abreu und Diego Campos Knupp. „Explicit scheme based on integral transforms for estimation of source terms in diffusion problems in heterogeneous media“. Journal of Engineering and Exact Sciences 9, Nr. 10 (29.12.2023): 17811. http://dx.doi.org/10.18540/jcecvl9iss10pp17811.
Der volle Inhalt der QuelleFang, Qingyuan, Mengzhe Jin, Weidong Liu und Yong Han. „DOA Estimation for Sources with Large Power Differences“. International Journal of Antennas and Propagation 2021 (10.03.2021): 1–12. http://dx.doi.org/10.1155/2021/8862789.
Der volle Inhalt der QuelleHerranz, D., F. Argüeso, L. Toffolatti, A. Manjón-García und M. López-Caniego. „A Bayesian method for point source polarisation estimation“. Astronomy & Astrophysics 651 (Juli 2021): A24. http://dx.doi.org/10.1051/0004-6361/202039741.
Der volle Inhalt der QuelleMa, Qian, Wen Xu und Yue Zhou. „Statistically robust estimation of source bearing via minimizing the Bhattacharyya distance“. Journal of the Acoustical Society of America 151, Nr. 3 (März 2022): 1695–709. http://dx.doi.org/10.1121/10.0009677.
Der volle Inhalt der QuelleLu, Jinshu, Mengqing Huang, Wenfeng Wu, Yonghui Wei und Chong Liu. „Application and Improvement of the Particle Swarm Optimization Algorithm in Source-Term Estimations for Hazardous Release“. Atmosphere 14, Nr. 7 (19.07.2023): 1168. http://dx.doi.org/10.3390/atmos14071168.
Der volle Inhalt der QuelleAmir Mohd Nor, Muhammad Izzat, Mohd Azri Mohd Izhar, Norulhusna Ahmad und Hazilah Md Kaidi. „Exploiting 2-Dimensional Source Correlation in Channel Decoding with Parameter Estimation“. International Journal of Electrical and Computer Engineering (IJECE) 8, Nr. 4 (01.08.2018): 2633. http://dx.doi.org/10.11591/ijece.v8i4.pp2633-2642.
Der volle Inhalt der QuelleDissertationen zum Thema "Estimation de terme source"
Rajaona, Harizo. „Inférence bayésienne adaptative pour la reconstruction de source en dispersion atmosphérique“. Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10120/document.
Der volle Inhalt der QuelleIn atmospheric physics, reconstructing a pollution source is a challenging but important question : it provides better input parameters to dispersion models, and gives useful information to first-responder teams in case of an accidental toxic release.Various methods already exist, but using them requires an important amount of computational resources, especially as the accuracy of the dispersion model increases. A minimal degree of precision for these models remains necessary, particularly in urban scenarios where the presence of obstacles and the unstationary meteorology have to be taken into account. One has also to account for all factors of uncertainty, from the observations and for the estimation. The topic of this thesis is the construction of a source term estimation method based on adaptive Bayesian inference and Monte Carlo methods. First, we describe the context of the problem and the existing methods. Next, we go into more details on the Bayesian formulation, focusing on adaptive importance sampling methods, especially on the AMIS algorithm. The third chapter presents an application of the AMIS to an experimental case study, and illustrates the mechanisms behind the estimation process that provides the source parameters’ posterior density. Finally, the fourth chapter underlines an improvement of how the dispersion computations can be processed, thus allowing a considerable gain in computation time, and giving room for using a more complex dispersion model on both rural and urban use cases
Jin, Bei. „Conditional source-term estimation methods for turbulent reacting flows“. Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/232.
Der volle Inhalt der QuelleSalehi, Mohammad Mahdi. „Numerical simulation of turbulent premixed flames with conditional source-term estimation“. Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42775.
Der volle Inhalt der QuelleNivarti, Girish Venkata. „Combustion modelling in spark-ignition engines using conditional source-term estimation“. Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44838.
Der volle Inhalt der QuelleMechhoud, Sarah. „Estimation de la diffusion thermique et du terme source du modèle de transport de la chaleur dans les plasmas de tokamaks“. Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00954183.
Der volle Inhalt der QuelleWang, Mei. „Combustion modeling using conditional source-term estimation with flamelet decomposition and low-dimensional manifolds“. Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/31181.
Der volle Inhalt der QuelleScience, Faculty of
Mathematics, Department of
Graduate
Tobias, Brännvall. „Source Term Estimation in the Atmospheric Boundary Layer : Using the adjoint of the Reynolds Averaged Scalar Transport equation“. Thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-103671.
Der volle Inhalt der QuelleDetta arbete utvärderar hurvida Reynolds medelvärdesmodellering inom flödessimuleringar kan användas till att finna källan till en viss gas baserat på verkliga mätningar ute i fält. Metoden går ut på att använda den adjungerade ekvationen till Reynolds tidsmedlade skalära transportekvationen, beskriven och härledd häri. Då bakåtmodellen bygger på framåtmodellen, måste såleds framåtmodellen utvärderas först. Navier-Stokes ekvationer med en turbulensmodell löses i en domän, innehållandes 4 kuber i en 2x2 orientering, för vilken en hastighetsprofil erhålles. Turbulensmodellen som användes är en union av två olika k-ε modeller, där den ena fångar turbulens runt tröga objekt och den andra som modellerar atmosfäriska gränsskiktet. Detta fält används sedan i framåtmodellen av skalära transportekvationen, som sedan jämförs med körningar från EnFlo windtunneln i Surrey. Slutligen testkörs även den adjungerade ekvationen, både för syntetiskt data genererat i framåtkörningen men även för data från EnFlo tunneln. Då det visade sig att det turbulenta Schmidttalet spelar stor roll inom spridning i det atmosfäriska gränsskiktet, gjordes testkörningar med tre olika Schmidttal, det normala 0.7, det väldigt låga talet 0.3 samt ett höjdberoende Schmidttal. Det visade sig att det vanligtvis använda talet 0.7 inte alls lyckas fånga spridningen tillfredställande och gav ett stort modellfel. Därför löstes den adjungerade ekvationen för 0.3 samt för ett höjdberoende Schmidttal. Interaktionen mellan mätningar, den riktiga källstyrkan (som är okänd i den adjungerade ekvationen) samt källpositionen är onekligen intrikat. Över- samt underestimationer av framåtmodellen kan ta ut varandra i bakåtmodellen för att finna rätt källa, med rätt källstyrka. Det ter sig som Reynolds turbulensmodellering mycket möjligt kan användas inom källtermsuppskattning.
Lopez, Ferber Roman. „Approches RBF-FD pour la modélisation de la pollution atmosphérique urbaine et l'estimation de sources“. Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT006.
Der volle Inhalt der QuelleSince the industrial era, cities have been affected by air pollution due to the density of industry, vehicle traffic and the density of combustion heaters. Urban air pollution has health consequences that are of increasing concern to both public authorities and the general public. This pollution can aggravate asthma and cardiovascular problems. The aim of this thesis is to locate and quantify sources of urban pollution using a dense network of noisy measurements. We have chosen to develop methods for estimating pollution sources based on physical models of pollutant dispersion. The estimation of pollution sources is therefore constrained by knowledge of the physics of the dispersion phenomenon. This thesis therefore focuses on the numerical modelling of pollutant dispersion in an urban environment and on the estimation of source terms.Because of the many constraints imposed on pollutant flows by urban buildings, the physics of dispersion is represented by computationally expensive numerical models.We have developed a numerical dispersion model based on the Finite Difference method supported by Radial Basis Functions (RBF-FD). These approaches are known to be computationally frugal and suitable for handling simulation domains with complex geometries. Our RBF-FD model can handle both two-dimensional (2D) and three-dimensional (3D) problems. We compared this model with a 2D analytical model, and qualitatively compared our 3D model with a reference numerical model.Source estimation experiments were then carried out. They consider numerous noisy measurements in order to estimate any source term over the entire simulation domain. The various studies carried out involve twin experiments: we ourselves generate measurements simulated by a numerical model and evaluate the performance of the estimates. After testing a machine-learning approach on a one-dimensional steady-state case, we tested source term estimation methods on three-dimensional steady-state and transient cases, considering geometries without and with the presence of obstacles. We tested estimates using an original adjoint method, then an original estimation method inspired by physics-informed machine learning (PIML) and finally a Kalman filter. The PIML-inspired approach, which is currently being tested in a stationary regime, produces an estimation quality comparable to that of the Kalman filter (where the latter considers a transient dispersion regime with a stationary source). The PIML-inspired approach directly exploits the frugality of the RBF-FD direct computation model, which makes it a promising method for source estimates over large computational domains
Tsui, Hong P. „Turbulent premixed combustion simulation with Conditional Source-term Estimation and Linear-Eddy Model formulated PDF and SDR models“. Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/60295.
Der volle Inhalt der QuelleApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Sakarya, Fatma Ayhan. „Passive source location estimation“. Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/13714.
Der volle Inhalt der QuelleBücher zum Thema "Estimation de terme source"
Sjoreen, A. L. Source term estimation using MENU-TACT. Washington, D. C: Division of Operational Assessment, Office for Analysis and Evaluation of Operational Data, U.S. Nuclear Regulatory Commission, 1987.
Den vollen Inhalt der Quelle finden1957-, Osman Osman M., und Robinson Enders A, Hrsg. Seismic source signature estimation and measurement. Tulsa, OK: Society of Exploration Geophysicists, 1996.
Den vollen Inhalt der Quelle findenMélard, Guy. Méthodes de prévision à court terme. Bruxelles, Belgique: Editions de l'Université de Bruxelles, 1990.
Den vollen Inhalt der Quelle findenWeinstein, Ehud. Multiple source location estimation using the EM algorithm. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1986.
Den vollen Inhalt der Quelle findenCenter, Langley Research, Hrsg. Acoustic Source Bearing Estimation (ASBE) computer program development. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.
Den vollen Inhalt der Quelle findenOffice, U. S. Nuclear Regulatory Commission Office of Nuclear Regulatory Research Accident Source Term Program. Reassessment of the technical bases for estimating source terms: Draft report for comment. Washington, D.C: Accident Source Term Program Office, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1985.
Den vollen Inhalt der Quelle findenFeder, Meir. Optimal multiple source location via the EM algorithm. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1986.
Den vollen Inhalt der Quelle findenClean Air Technology Center (U.S.) und U.S.-México Border Information Center on Air Pollution., Hrsg. Emission estimation techniques for unique source categories in Mexicali, Mexico. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Clean Air Technology Center, 1999.
Den vollen Inhalt der Quelle findenClean Air Technology Center (U.S.) und U.S.-México Border Information Center on Air Pollution, Hrsg. Emission estimation techniques for unique source categories in Mexicali, Mexico. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Clean Air Technology Center, 1999.
Den vollen Inhalt der Quelle findenEkström, Göran, Marvin Denny und John R. Murphy, Hrsg. Monitoring the Comprehensive Nuclear-Test-Ban Treaty: Source Processes and Explosion Yield Estimation. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8310-8.
Der volle Inhalt der QuelleBuchteile zum Thema "Estimation de terme source"
Cervone, Guido, und Pasquale Franzese. „Source Term Estimation for the 2011 Fukushima Nuclear Accident“. In Data Mining for Geoinformatics, 49–64. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7669-6_3.
Der volle Inhalt der QuelleLiu, Yang, Matthew Coombes und Cunjia Liu. „Consensus-Based Distributed Source Term Estimation with Particle Filter and Gaussian Mixture Model“. In ROBOT2022: Fifth Iberian Robotics Conference, 130–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21062-4_11.
Der volle Inhalt der QuelleNagai, Haruyasu, Genki Katata, Hiroaki Terada und Masamichi Chino. „Source Term Estimation of 131I and 137Cs Discharged from the Fukushima Daiichi Nuclear Power Plant into the Atmosphere“. In Radiation Monitoring and Dose Estimation of the Fukushima Nuclear Accident, 155–73. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54583-5_15.
Der volle Inhalt der QuelleGarbe, Christoph S., Hagen Spies und Bernd Jähne. „Mixed OLS-TLS for the Estimation of Dynamic Processes with a Linear Source Term“. In Lecture Notes in Computer Science, 463–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45783-6_56.
Der volle Inhalt der QuelleZavisca, Michael, Heinrich Kahlert, Mohsen Khatib-Rahbar, Elizabeth Grindon und Ming Ang. „A Bayesian Network Approach to Accident Management and Estimation of Source Terms for Emergency Planning“. In Probabilistic Safety Assessment and Management, 383–88. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_62.
Der volle Inhalt der QuelleKumar, Amit, Vageesh Shukla, Manoj Kansal und Mukesh Singhal. „PSA Level-2 Study: Estimation of Source Term for Postulated Accidental Release from Indian PHWRs“. In Reliability, Safety and Hazard Assessment for Risk-Based Technologies, 15–26. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_2.
Der volle Inhalt der QuellePenenko, Vladimir, und Alexander Baklanov. „Methods of Sensitivity Theory and Inverse Modeling for Estimation of Source Term and Risk/Vulnerability Areas“. In Computational Science - ICCS 2001, 57–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45718-6_7.
Der volle Inhalt der QuelleSchnieders, Dirk, Kwan-Yee K. Wong und Zhenwen Dai. „Polygonal Light Source Estimation“. In Computer Vision – ACCV 2009, 96–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12297-2_10.
Der volle Inhalt der QuelleSoriguera Martí, Francesc. „Short-Term Prediction of Highway Travel Time Using Multiple Data Sources“. In Highway Travel Time Estimation With Data Fusion, 157–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48858-4_6.
Der volle Inhalt der QuelleLamb, Frederick K., Bruce W. Callen und Jeremiah D. Sullivan. „Yield estimation using shock wave methods“. In Explosion Source Phenomenology, 73–89. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gm065p0073.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Estimation de terme source"
Robins, P., und P. Thomas. „Non-linear Bayesian CBRN source term estimation“. In 2005 7th International Conference on Information Fusion. IEEE, 2005. http://dx.doi.org/10.1109/icif.2005.1591980.
Der volle Inhalt der QuelleRahbar, Faezeh, Ali Marjovi und Alcherio Martinoli. „An Algorithm for Odor Source Localization based on Source Term Estimation“. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793784.
Der volle Inhalt der QuelleChichester, David L., James T. Johnson, Scott M. Watson, Scott J. Thompson, Nick R. Mann und Kevin P. Carney. „Post-blast radiological dispersal device source term estimation“. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069920.
Der volle Inhalt der QuelleWang, Zhi-Pu, und Huai-Ning Wu. „Source Term Estimation with Unknown Number of Sources using Improved Cuckoo Search Algorithm“. In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9189067.
Der volle Inhalt der QuelleMa, Yuanwei, Dezhong Wang, Wenji Tan, Zhilong Ji und Kuo Zhang. „Assessing Sensitivity of Observations in Source Term Estimation for Nuclear Accidents“. In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54491.
Der volle Inhalt der QuelleFanfarillo, Alessandro. „Quantifying Uncertainty in Source Term Estimation with Tensorflow Probability“. In 2019 IEEE/ACM HPC for Urgent Decision Making (UrgentHPC). IEEE, 2019. http://dx.doi.org/10.1109/urgenthpc49580.2019.00006.
Der volle Inhalt der QuelleHu, Hao, Xinwen Dong, Xinpeng Li, Yuhan Xu, Shuhan Zhuang und Sheng Fang. „Wind Tunnel Validation Study of Joint Estimation Source Term Inversion Method“. In ASME 2023 International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/icem2023-110109.
Der volle Inhalt der QuelleRobins, P., V. Rapley und P. Thomas. „Biological Source Term Estimation Using Particle Counters and Immunoassay Sensors“. In 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301723.
Der volle Inhalt der QuelleRahbar, Faezeh, und Alcherio Martinoli. „A Distributed Source Term Estimation Algorithm for Multi-Robot Systems“. In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9196959.
Der volle Inhalt der QuelleZheng, Xiaoyu, Hiroto Itoh, Hitoshi Tamaki und Yu Maruyama. „Estimation of Source Term Uncertainty in a Severe Accident With Correlated Variables“. In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30011.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Estimation de terme source"
Brooks, Dusty. Non-Parametric Source Term Uncertainty Estimation. Office of Scientific and Technical Information (OSTI), Juni 2020. http://dx.doi.org/10.2172/1763581.
Der volle Inhalt der QuelleMcKenna, T. J., und J. G. Glitter. Source term estimation during incident response to severe nuclear power plant accidents. Office of Scientific and Technical Information (OSTI), Oktober 1988. http://dx.doi.org/10.2172/6822946.
Der volle Inhalt der QuelleFourrier, Marine. Integration of in situ and satellite multi-platform data (estimation of carbon flux for trop. Atlantic). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d7.6.
Der volle Inhalt der QuelleClark, Todd E., Gergely Ganics und Elmar Mertens. Constructing fan charts from the ragged edge of SPF forecasts. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.26509/frbc-wp-202236.
Der volle Inhalt der QuelleHertel, Thomas, David Hummels, Maros Ivanic und Roman Keeney. How Confident Can We Be in CGE-Based Assessments of Free Trade Agreements? GTAP Working Paper, Juni 2003. http://dx.doi.org/10.21642/gtap.wp26.
Der volle Inhalt der QuelleJunek, W. N., J. Roman-Nieves, R. C. Kemerait, M. T. Woods und J. P. Creasey. Automated Source Depth Estimation Using Array Processing Techniques. Fort Belvoir, VA: Defense Technical Information Center, Oktober 2009. http://dx.doi.org/10.21236/ada517312.
Der volle Inhalt der QuelleHodgkiss, William S. Source Signature Estimation and Noise Directionality in Shallow Water. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada306524.
Der volle Inhalt der QuelleEdwards, L. L. Complex source rate estimation for atmospheric transport and dispersion models. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10102792.
Der volle Inhalt der QuelleWeinstein, Ehud, und Meir Feder. Multiple Source Location Estimation Using the EM (Estimate-Maximize) Algorithm. Fort Belvoir, VA: Defense Technical Information Center, Juli 1986. http://dx.doi.org/10.21236/ada208762.
Der volle Inhalt der QuelleSanders, T. L., H. Jordan, V. Pasupathi, W. J. Mings und P. C. Reardon. A methodology for estimating the residual contamination contribution to the source term in a spent-fuel transport cask. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/6373171.
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