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DHRCA: A Design of Security Architecture Based on Dynamic Heterogeneous Redundant for System on Wafer
Published 2024-01-01“…The security of our approach is analyzed by building a generalized stochastic coloring petri net (GSCPN) model of DHRCA. The simulation results based on the GSCPN model show that our method can improve the system security probability to 0.8690 and the system availability probability to 0.9750 in the steady state compared with typical triple-mode redundancy and runtime monitoring methods. …”
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42
A Model Reduction Method for Parallel Software Testing
Published 2013-01-01“…In this paper, a model reduction method based on Coloured Petri Net (CPN) is shown, which could generate a functionality-equivalent and trace-equivalent model with smaller scale. …”
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43
Control of Discrete Event Systems by Means of Discrete Optimization and Disjunctive Colored PNs: Application to Manufacturing Facilities
Published 2014-01-01“…With the purpose of improving the efficiency of a control methodology for discrete systems, based on a simulation-based optimization and the Petri net (PN) model of the real discrete event dynamic system (DEDS), this paper presents a strategy, where a transformation applied to the model allows removing the redundant information to obtain a smaller model containing the same useful information. …”
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44
Modeling and Analysis of Postdisaster Aviation Medical Rescue Process Using SPN-MC
Published 2022-01-01“…The dynamic discrete modeling of the postdisaster aviation medical rescue process was carried out in combination with the stochastic Petri net (SPN) theory, and the effectiveness of the process of postdisaster aviation medical rescue was analyzed by using the isomorphism relationship between SPN and Markov chain (MC). …”
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45
A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data
Published 2022-01-01“…At first, this paper summarized the variables of food supply chain quality and safety, constructed a Petri net model and a Bayesian network model for food quality prediction and source tracing, and realized the prediction of food quality features. …”
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