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Zastosuj identyfikator do podlinkowania lub zacytowania tej pozycji: http://hdl.handle.net/20.500.12128/6963
Tytuł: Genetic algorithm as self-test path and circular self-test path design method
Autor: Chodacki, Miłosław
Słowa kluczowe: Built-in self-test; Self-test path; Digital testing; Genetic algorithm
Data wydania: 2018
Źródło: Vietnam Journal of Computer Science, Vol. 5 (2018), s. 263-278
Abstrakt: The 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.
URI: http://hdl.handle.net/20.500.12128/6963
DOI: 10.1007/s40595-018-0121-0
ISSN: 2196-8896
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