Relevant bibliographies by topics / Subset Simulation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Subset Simulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 24 March 2023

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Journal articles on the topic "Subset Simulation"

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Bect, Julien, Ling Li, and Emmanuel Vazquez. "Bayesian Subset Simulation." SIAM/ASA Journal on Uncertainty Quantification 5, no. 1 (2017): 762–86. http://dx.doi.org/10.1137/16m1078276.

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Liu, Lei. "On Local Aspects of Topological Transitivity and Weak Mixing in Set-Valued Discrete Systems." Discrete Dynamics in Nature and Society 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/281395.

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Blanchard and Huang introduced the notion of weakly mixing subset, and Oprocha and Zhang gave the concept of transitive subset and studied its basic properties. In this paper our main goal is to discuss the weakly mixing subsets and transitive subsets in set-valued discrete systems. We prove that a set-valued discrete system has a transitive subset if and only if original system has a weakly mixing subset. Moreover, we give an example showing that original system has a transitive subset, which does not imply set-valued discrete system has a transitive subset.
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Gong, Z. T., F. A. DiazDelaO, Peter O. Hristov, and M. Beer. "HISTORY MATCHING WITH SUBSET SIMULATION." International Journal for Uncertainty Quantification 11, no. 5 (2021): 19–38. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2021033543.

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Papaioannou, Iason, Wolfgang Betz, Kilian Zwirglmaier, and Daniel Straub. "MCMC algorithms for Subset Simulation." Probabilistic Engineering Mechanics 41 (July 2015): 89–103. http://dx.doi.org/10.1016/j.probengmech.2015.06.006.

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Sullivan, David W., and James R. Wilson. "Restricted Subset Selection Procedures for Simulation." Operations Research 37, no. 1 (1989): 52–71. http://dx.doi.org/10.1287/opre.37.1.52.

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Chiachio, Manuel, James L. Beck, Juan Chiachio, and Guillermo Rus. "Approximate Bayesian Computation by Subset Simulation." SIAM Journal on Scientific Computing 36, no. 3 (2014): A1339—A1358. http://dx.doi.org/10.1137/130932831.

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Au, Siu-Kui. "On MCMC algorithm for Subset Simulation." Probabilistic Engineering Mechanics 43 (January 2016): 117–20. http://dx.doi.org/10.1016/j.probengmech.2015.12.003.

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Li, Hong-Shuang, and Siu-Kiu Au. "Design optimization using Subset Simulation algorithm." Structural Safety 32, no. 6 (2010): 384–92. http://dx.doi.org/10.1016/j.strusafe.2010.03.001.

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Li, Hong-Shuang. "Subset simulation for unconstrained global optimization." Applied Mathematical Modelling 35, no. 10 (2011): 5108–20. http://dx.doi.org/10.1016/j.apm.2011.04.023.

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Suo, Xin-Shi, Xiong-Qing Yu, and Hong-Shuang Li. "Subset simulation for multi-objective optimization." Applied Mathematical Modelling 44 (April 2017): 425–45. http://dx.doi.org/10.1016/j.apm.2017.02.005.

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Dissertations / Theses on the topic "Subset Simulation"

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Walter, Clément. "Using Poisson processes for rare event simulation." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC304/document.

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Cette thèse est une contribution à la problématique de la simulation d'événements rares. A partir de l'étude des méthodes de Splitting, un nouveau cadre théorique est développé, indépendant de tout algorithme. Ce cadre, basé sur la définition d'un processus ponctuel associé à toute variable aléatoire réelle, permet de définir des estimateurs de probabilités, quantiles et moments sans aucune hypothèse sur la variable aléatoire. Le caractère artificiel du Splitting (sélection de seuils) disparaît et l'estimateur de la probabilité de dépasser un seuil est en fait un estimateur de la fonction de r
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Gebremedhin, Mahder. "ParModelica : Extending the Algorithmic Subset ofModelica with Explicit Parallel LanguageConstructs for Multi-core Simulation." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71612.

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In today’s world of high tech manufacturing and computer-aided design simulations of models is at theheart of the whole manufacturing process. Trying to represent and study the variables of real worldmodels using simulation computer programs can turn out to be a very expensive and time consumingtask. On the other hand advancements in modern multi-core CPUs and general purpose GPUs promiseremarkable computational power. Properly utilizing this computational power can provide reduced simulation time. To this end modernmodeling environments provide different optimization and parallelization optio
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Thajeel, Jawad. "Kriging-based Approaches for the Probabilistic Analysis of Strip Footings Resting on Spatially Varying Soils." Thesis, Nantes, 2017. http://www.theses.fr/2017NANT4111/document.

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L’analyse probabiliste des ouvrages géotechniques est généralement réalisée en utilisant la méthode de simulation de Monte Carlo. Cette méthode n’est pas adaptée pour le calcul des faibles probabilités de rupture rencontrées dans la pratique car elle devient très coûteuse dans ces cas en raison du grand nombre de simulations requises pour obtenir la probabilité de rupture. Dans cette thèse, nous avons développé trois méthodes probabilistes (appelées AK-MCS, AK-IS et AK-SS) basées sur une méthode d’apprentissage (Active learning) et combinant la technique de Krigeage et l’une des trois méthodes
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Norouzi, Mahdi. "An Efficient Method to Assess Reliability under Dynamic Stochastic Loads." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1349496534.

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Hesselius, Tobias, and Tommy Savela. "A Java Framework for Broadcast Encryption Algorithms." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2504.

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<p>Broadcast encryption is a fairly new area in cryptology. It was first addressed in 1992, and the research in this area has been large ever since. In short, broadcast encryption is used for efficient and secure broadcasting to an authorized group of users. This group can change dynamically, and in some cases only one-way communication between the sender and receivers is available. An example of this is digital TV transmissions via satellite, in which only the paying customers can decrypt and view the broadcast. </p><p>The purpose of this thesis is to develop a general Java framework for impl
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Li, Ling. "Sequential Design of Experiments to Estimate a Probability of Failure." Phd thesis, Supélec, 2012. http://tel.archives-ouvertes.fr/tel-00765457.

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This thesis deals with the problem of estimating the probability of failure of a system from computer simulations. When only an expensive-to-simulate model of the system is available, the budget for simulations is usually severely limited, which is incompatible with the use of classical Monte Carlo methods. In fact, estimating a small probability of failure with very few simulations, as required in some complex industrial problems, is a particularly difficult topic. A classical approach consists in replacing the expensive-to-simulate model with a surrogate model that will use little computer r
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Papacchini, Fabio. "Minimal model reasoning for modal logic." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/minimal-model-reasoning-for-modal-logic(dbfeb158-f719-4640-9cc9-92abd26bd83e).html.

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Model generation and minimal model generation are useful for tasks such as model checking, query answering and for debugging of logical specifications. Due to this variety of applications, several minimality criteria and model generation methods for classical logics have been studied. Minimal model generation for modal logics how ever did not receive the same attention from the research community. This thesis aims to fill this gap by investigating minimality criteria and designing minimal model generation procedures for all the sublogics of the multi-modal logic S5(m) and their extensions with
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Longva, Vegard. "Simulation of Trawl Loads on Subsea Pipelines." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11594.

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The main objectives in this thesis was to investigate the effect of oblique trawl board crossings, increased trawl board added mass due to seabed proximity and the effect of a more rectangular trawl board geometry. In addition a new hydrodynamic load model which handles the seabed proximity and forward speed in a more consistent way was examined. All simulations in this thesis are performed by means of the computer software SIMLA. A brief description of methods applied in SIMLA and nonlinear finite element analysis is therefore included. The thesis contains also a chapter which describes trawl
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Teran, Villegas Oswaldo Ramon. "Emergent tendencies in multi-agent-based simulations using constraint-based methods to effect practical proofs over finite subsets of simulation outcomes." Thesis, Manchester Metropolitan University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343494.

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Hong, Wei. "Simulation of TDP Dynamics during S-laying of Subsea Pipelines." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11522.

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During the past one and a half decade, pipeline has been proven to the most economical means of large scale overland transportation for crude oil, natural gas and other products. At the same time, more and more problems are encountered. A lot of effort has been put to gain more knowledge about pipeline installation, operation and so on. During installation of subsea pipeline, the penetration of the pipe prior to operation has a tendency of being larger than the predicted values. This may have a great influence on the intervention work and cost impact. It is therefore of interest to investigate
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Books on the topic "Subset Simulation"

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Hurn, A. S. Modelling the lifespan of human lymphocyte subsets: Maximum likelihood estimation by embedded simulation. Glasgow University Department of Political Economy, 1994.

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United States. National Aeronautics and Space Administration., ed. Direct numerical simulations of a temporally evolving mixing layer subject to forcing. National Aeronautics and Space Administration, 1987.

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Nordhoff, Lawerance S. Human subject testing in rear, side, and frontal impact simulations: Innovations and advances. SAE International, 2007.

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Wang, Yu, and Siu-Kui Au. Engineering Risk Assessment with Subset Simulation. Wiley & Sons, Limited, John, 2014.

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Wang, Yu, and Siu-Kui Au. Engineering Risk Assessment with Subset Simulation. Wiley & Sons, Incorporated, John, 2014.

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Wang, Yu, and Siu-Kui Au. Engineering Risk Assessment with Subset Simulation. Wiley & Sons, Incorporated, John, 2014.

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Wang, Yu, and Siu-Kui Au. Engineering Risk Assessment with Subset Simulation. Wiley & Sons, Incorporated, John, 2014.

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Engineering Risk Assessment and Design with Subset Simulation. John Wiley & Sons Inc, 2014.

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Lewis-Evans, Ben. A short guide to user testing for simulation sickness in Virtual Reality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0030.

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The increased interest in virtual reality (VR) has yielded a lot of studies and development in both research and game design. Simulation sickness is an issue experienced by a significant subset of players in VR. This chapter focuses on the challenges this issue poses for user research, and suggests practical considerations for researchers to minimize legal and ethical risks.
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Higdon, Dave, Katrin Heitmann, Charles Nakhleh, and Salman Habib. Combining simulations and physical observations to estimate cosmological parameters. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.26.

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This article focuses on the use of a Bayesian approach that combines simulations and physical observations to estimate cosmological parameters. It begins with an overview of the Λ-cold dark matter (CDM) model, the simplest cosmological model in agreement with the cosmic microwave background (CMB) and largescale structure analysis. The CDM model is determined by a small number of parameters which control the composition, expansion and fluctuations of the universe. The present study aims to learn about the values of these parameters using measurements from the Sloan Digital Sky Survey (SDSS). Co
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Book chapters on the topic "Subset Simulation"

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Gong, Z., and F. DiazDelaO. "Bayesian model calibration using subset simulation." In Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-47.

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Papacchini, Fabio, and Renate A. Schmidt. "Computing Minimal Models Modulo Subset-Simulation for Modal Logics." In Frontiers of Combining Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40885-4_20.

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Zuev, Konstantin M. "Subset Simulation Method for Rare Event Estimation: An Introduction." In Encyclopedia of Earthquake Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36197-5_165-1.

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Zuev, Konstantin M. "Subset Simulation Method for Rare Event Estimation: An Introduction." In Encyclopedia of Earthquake Engineering. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35344-4_165.

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Maalouf, Eliane, David Ginsbourger, and Niklas Linde. "Fast ABC with Joint Generative Modelling and Subset Simulation." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95467-3_30.

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Vakilzadeh, Majid K., Yong Huang, James L. Beck, and Thomas Abrahamsson. "Approximate Bayesian Computation by Subset Simulation for Parameter Inference of Dynamical Models." In Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29754-5_4.

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Chan, Jianpeng, Iason Papaioannou, and Daniel Straub. "An Adaptive Subset Simulation Algorithm for System Reliability Analysis with Discontinuous Limit States." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73616-3_9.

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Shiao, Michael, Tzi-Kang Chen, and Zhu Mao. "Probabilistic Maintenance-Free Operating Period via Bayesian Filter with Markov Chain Monte Carlo (MCMC) Simulations and Subset Simulation." In Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74793-4_27.

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Gomes, Cláudio, Casper Thule, Levi Lúcio, Hans Vangheluwe, and Peter Gorm Larsen. "Generation of Co-simulation Algorithms Subject to Simulator Contracts." In Software Engineering and Formal Methods. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57506-9_4.

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Noetscher, Gregory M. "The CAD-Compatible VHP-Male Computational Phantom." In Brain and Human Body Modeling 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_19.

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AbstractAnatomically accurate and numerically efficient computational phantoms of humans are essential to characterizing the response of a body to a variety of electromagnetic, acoustic and other types of external stimuli. In conjunction with advances in numerical simulation techniques and computational hardware, these computational phantoms enable exploration of innovative and exciting applications, from medical diagnostic techniques and therapeutic treatments to new ways of on- and in-body communications. However, in order to provide realistic estimates through simulation, the model must represent the subject as closely as possible, necessitating that all relevant anatomical features are captured. If this is not accomplished, the model will misrepresent the true physical environment, and critical information will not be captured during the simulation. This work presents a model of a male subject based on the Visible Human Project dataset. Each component of the model is constructed of triangular surface elements, making it compatible with CAD packages and facilitating its use in simulations based on major numerical methodologies. A description of the model, the procedure used for its construction and a baseline simulation are presented together with future integration and augmentation ideas.
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Conference papers on the topic "Subset Simulation"

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Chen, E. Jack. "Restricted subset selection." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736079.

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Eckman, David J., Matthew Plumlee, and Barry L. Nelson. "Revisiting Subset Selection." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9383921.

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Wang, Yu, Louis Luangkesorn, and Larry J. Shuman. "Best-subset selection procedure." In 2011 Winter Simulation Conference - (WSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/wsc.2011.6148118.

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Zhang, Gongbo, Yijie Peng, Jianghua Zhang, and Enlu Zhou. "Dynamic Sampling Policy For Subset Selection." In 2021 Winter Simulation Conference (WSC). IEEE, 2021. http://dx.doi.org/10.1109/wsc52266.2021.9715357.

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Glukhikh, Mikhail, and Mikhail Moiseev. "Fast Simulation of SystemC Synthesizable Subset." In 2015 IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS). IEEE, 2015. http://dx.doi.org/10.1109/ddecs.2015.44.

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Serdyuk, G. V., and B. N. Sheikovnikov. "VHDL-AMS subset for HB simulation." In 2004 14th International Crimean Conference "Microwave and Telecommunication Technology". IEEE, 2004. http://dx.doi.org/10.1109/crmico.2004.183141.

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Corlu, Canan G., and Bahar Biller. "Subset selection for simulations accounting for input uncertainty." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408185.

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Hinkle, Laura, Gregory Pavlak, Nathan Brown, and Leland Curtis. "Dynamic Subset Sensitivity Analysis For Design Exploration." In 2022 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 2022. http://dx.doi.org/10.23919/annsim55834.2022.9859293.

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Corlu, Canan G., and Bahar Biller. "A subset selection procedure under input parameter uncertainty." In 2013 Winter Simulation Conference - (WSC 2013). IEEE, 2013. http://dx.doi.org/10.1109/wsc.2013.6721442.

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Li, Hongshuang, Yibing Xiang, and Yongming Liu. "Probabilistic fatigue life prediction using Subset Simulation." In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
20th AIAA/ASME/AHS Adaptive Structures Conference
14th AIAA. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1816.

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Reports on the topic "Subset Simulation"

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Bäumler, 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.

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This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behavi
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Ringhand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai, and Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.

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This document is intended to give an overview of the human subject study in a driving simulator that was conducted by the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD) to provide the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD with the necessary input for the validation of a stochastic traffic simulation, especially for the parameterization, consolidation, and validation of driver behaviour models. VPSY planned, conducted, and analysed a driving simulator study. The main purpose of the s
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Gong, C., N. K. Gupta, and R. J. Gromada. Simulation and analysis of the plutonium shipping container subject to 30-foot drops. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/226083.

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Modlo, Yevhenii O., та Serhiy O. Semerikov. Xcos on Web як перспективний засіб навчання моделювання технічних об’єктів бакалаврів електромеханіки. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2454.

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Research goals: to identify the perspective learning simulation tool for Bachelors of Electromechanics. Research objectives: to prove the feasibility of using the simulation system Xcos on Web as a tool of forming of future Bachelors of Electromechanics competence in modeling of technical objects. Research object: the use of imitative simulation systems to learning the Bachelors of Electromechanics. Research subject: the use Xcos on Web in learning modeling of technical objects the Bachelors of Electromechanics. Research methods used: the analysis of existing software usage experience. Researc
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Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.

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Abstract. Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of th
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Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.

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Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high sch
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Gong, C., and R. Miller. Simulation and analysis of the plutonium oxide/metal storage containers subject to various loading conditions. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/119417.

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Simo, J. C. Mathematical Modeling and Numerical Simulation of the Dynamics of Flexible Structures Subject to Large Overall Motions. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207004.

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Lvov, Michael S., and Halyna V. Popova. Simulation technologies of virtual reality usage in the training of future ship navigators. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3758.

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Research goal: the research is aimed at the theoretical substantiation of the application of virtual reality technology simulators and their features in higher maritime educational institutions. Research objectives: to determine the role and place of simulation technology in the educational process in the training of future ship navigators in order to form the professional competence of navigation. Object of research: professional training of future ship navigators in higher maritime educational institutions. Subject of research: simulation technologies of virtual reality as a component of the
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Shaver, Greg, and Miles Droege. Develop and Deploy a Safe Truck Platoon Testing Protocol for the Purdue ARPA-E Project in Indiana. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317314.

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Hilly terrain poses challenges to truck platoons using fixed set speed cruise control. Driving the front truck efficiently on hilly terrain improves both trucks fuel economies and improves gap maintenance between the trucks. An experimentally-validated simulation model was used to show fuel savings for the platoon of 12.3% when the front truck uses long horizon predictive cruise control (LH-PCC), 8.7% when the front truck uses flexible set speed cruise control, and only 1.2% when the front truck uses fixed set speed cruise control. Purdue, Peloton, and Cummins have jointly configured two Peter
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