Results 11 to 20 of about 155,883 (264)
A comparison of the accuracy of discrete event and discrete time [PDF]
Proceedings of the 2010 Winter Simulation Conference, 2010 Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.
Buss, Arnold, Al Rowaei, Ahmed
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Introduction to discrete-event simulation [PDF]
Proceedings of the 18th conference on Winter simulation - WSC '86, 1986 In this article, we introduce the reader to discrete-event simulation. The concepts of system and model, system state, entities, attributes and delays are defined in the general context of simulation. Using these concepts, event-scheduling, process-interaction, and activity-scanning perspectives are briefly described.
Jerry Banks, John S. Carson II
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Learning a Partially-Known Discrete Event System
IEEE Access, 2020 There are many cases in which our understanding of a system may be limited due to its complexity or lack of access into the entire system, leaving us with only partial system knowledge.
Ira Wendell Bates +2 more
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Discrete-Event Simulation of Quantum Walks
Frontiers in Physics, 2020 We use discrete-event simulation on a digital computer to study two different models of experimentally realizable quantum walks. The simulation models comply with Einstein locality, are as “realistic” as the one of the simple random walk in that the ...
Madita Willsch +5 more
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HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms
EAI Endorsed Transactions on Energy Web, 2016 This work presents a new trace-based parallel discrete event simulation framework designed for predicting the behavior of a novel computing platform running energy-aware parallel applications.
Mario Bielert +4 more
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Discrete Event Modeling and Simulation for Reinforcement Learning System Design
Information, 2022 Discrete event modeling and simulation and reinforcement learning are two frameworks suited for cyberphysical system design, which, when combined, can give powerful tools for system optimization or decision making process for example.
Laurent Capocchi +1 more
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Hidden Markov Models as a Process Monitor in Robotic Assembly [PDF]
Modeling, Identification and Control, 1999 A process monitor for robotic assembly based on hidden Markov models (HMMs) is presented. The HMM process monitor is based on the dynamic force/torque signals arising from interaction between the workpiece and the environment.
Geir E. Hovland, Brenan J. McCarragher
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Parallel discrete event simulation [PDF]
Proceedings of the 21st conference on Winter simulation - WSC '89, 1989 Parallel discrete event simulation (PDES), sometimes called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises from the fact that large simulations in engineering ...
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Overview of Opacity in Discrete Event Systems
IEEE Access, 2020 In recent years, opacity has received increasing attention in terms of analyzing security and privacy problems. Opacity is a confidentiality property that characterizes a system's ability to hide its secret information from any external intruders.
Ye Guo +4 more
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Survival prediction models: an introduction to discrete-time modeling
BMC Medical Research Methodology, 2022 Background Prediction models for time-to-event outcomes are commonly used in biomedical research to obtain subject-specific probabilities that aid in making important clinical care decisions.
Krithika Suresh +2 more
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