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Zastosuj identyfikator do podlinkowania lub zacytowania tej pozycji: http://hdl.handle.net/20.500.12128/6963
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dc.contributor.authorChodacki, Miłosław-
dc.date.accessioned2018-11-06T12:09:35Z-
dc.date.available2018-11-06T12:09:35Z-
dc.date.issued2018-
dc.identifier.citationVietnam Journal of Computer Science, Vol. 5 (2018), s. 263-278pl_PL
dc.identifier.issn2196-8896-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/6963-
dc.description.abstractThe paper presents the use of Genetic Algorithm to search for non-linear Autonomous Test Structures (ATS) in Built-In Testing approach. Such structures can include essentially STP and CSTP and their modifications. Non-linear structures are more difficult to analyze than the widely used structures such as independent Test Pattern Generator and the Test Response Compactor realized by Linear Feedback Shift Registers. To reduce time-consuming test simulation of sequential circuit, it was used an approach based on the stochastic model of pseudo-random testing. The use of stochastic model significantly affects the time effectiveness of the search for evolutionary autonomous structures. In test simulation procedure, the block of sequential circuit memory is not disconnected. This approach does not require a special selection of memory registers such as BILBOs. A series of studies to test circuits set ISCAS’89 are made. The results of the study are very promising.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/*
dc.subjectBuilt-in self-testpl_PL
dc.subjectSelf-test pathpl_PL
dc.subjectDigital testingpl_PL
dc.subjectGenetic algorithmpl_PL
dc.titleGenetic algorithm as self-test path and circular self-test path design methodpl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.relation.journalVietnam Journal of Computer Sciencepl_PL
dc.identifier.doi10.1007/s40595-018-0121-0-
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Uznanie Autorstwa 3.0 Polska Creative Commons Creative Commons