Discrete Event System Specification for IoT Applications. [PDF]
Sensors (Basel)The Internet of Things (IoT) has emerged as a transformative technology with a variety of applications across various industries. However, the development of IoT systems is hindered by challenges such as interoperability, system complexity, and the need ...
Alavi Fazel I, Wainer G.
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Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation [PDF]
Advances in Civil Engineering, 2022 In the process of open-pit mining, the system parameters determine the economic benefit and production efficiency of the mine. Conventional optimization involves building a system model for the process parameters.
Zhao Zhang +3 more
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Recent Advances in Fault Diagnosis and Opacity Analysis in Discrete Event Systems [PDF]
Sensors (Basel)This paper continues the historical and technical trajectory of fault diagnosis and opacity analysis in discrete event systems (DESs). Whereas the previous work reviewed the foundational developments of event diagnosis and opacity, this survey focuses on
Mangini A +4 more
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A Simulation Approach to Solve Power System Transmission Problems [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 The cost of electricity is an indicator of a country's level of development. This industry involves billions of dollars. Hence, the operation of Electric Power Systems constitutes a real problem that consists of a set of stages related to distinct ...
María Julia Blas, Gonzalo E. Alvarez
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Certificate pricing using Discrete Event Simulations and System Dynamics theory [PDF]
Risk Management Magazine, 2021 The study proposes an innovative application of Discrete Event Simulations (DES) and System Dynamics (SD) theory to the pricing of a certain kind of certificates very popular among private investors and, more generally, in the context of wealth ...
Pier Giuseppe Giribone +1 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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Computational challenges to test and revitalize Claude Lévi-Strauss transformational methodology
Big Data & Society, 2021 The ambition and proposal for data modeling of myths presented in this paper is to link contemporary technical affordances to some canonical projects developed in structural anthropology.
Albert Doja +2 more
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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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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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Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach
Discrete Dynamics in Nature and Society, 2022 Both inter- and intraorganizational networks draw the attention of researchers and practitioners from various disciplines who view them as the fabric of the socioeconomic world.
Piotr Śliwa
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