Results 11 to 20 of about 2,967 (218)
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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Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes
Entropy, 2022 Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-event processes operates in continuous-time.
Sarah E. Marzen, James P. Crutchfield
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simmer: Discrete-Event Simulation for R
Journal of Statistical Software, 2019 The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities.
Iñaki Ucar, Bart Smeets, Arturo Azcorra
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