This article proposes a new approach in modeling the detection/diagnostic functions using PN. It assumes knowledge of the evolution of successive degradation states of the monitored system. Using the logical model, co...
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Due to the complexity of modern distributed power generation, a conventional automation system is not always capable to provide sufficient information, so intelligent control approaches are requiring. This paper is co...
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There are several research directions in Software Performance engineering (SPE), covering the entire performance prediction process, but most of the tools developed so far implement only part of it or have restriction...
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This chapter deals with the resource-constrained project scheduling problem that belongs to NP-hard optimisation problems. There are many different heuristic strategies how to shift activities in time when resource re...
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This paper presents recent changes to TimeNET, a software tool for the modeling and performability evaluation using stochastic Petri nets. A rare-event simulation module has been implemented for colored stochastic Pet...
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In fact the mission for a danger control system consists of several phases. The system configuration, operational requirements for individual components, success criteria and stress on the components, can change from ...
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Grid is a hardware and software infrastructure which allows the sharing of flexible, secure and coordinated resources among dynamic collections of individuals, organizations and resources. The resources that are utili...
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This paper presents a genetic algorithm coordinated by fuzzy rule models to solve the vehicle routing problem with time windows. The fuzzy rule-based coordinators play distinct roles during the genetic algorithm execu...
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This paper presents a genetic algorithm coordinated by fuzzy rule models to solve the vehicle routing problem with time windows. The fuzzy rule-based coordinators play distinct roles during the genetic algorithm execution. The aim is to trade-off exploration and exploitation behavior for route and distance minimization. Experimental results using classic benchmark test instances suggest that the fuzzy coordinated genetic approach is competitive against classic genetic algorithm.
The noise image is decomposed into the unknown true image u and the noise v by a new image de-noising method based on image decomposition. The common decomposition models are all dense and can only be transformed into...
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