On the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic Computing

dc.contributor.author	Komann, Marcus
dc.contributor.author	Taubert, Frank
dc.contributor.author	Fey, Dietmar
dc.date.accessioned	2017-12-06T08:58:49Z
dc.date.available	2017-12-06T08:58:49Z
dc.date.issued	2010
dc.identifier.issn	0724-5319
dc.identifier.uri	http://dl.gi.de/handle/20.500.12116/8534
dc.description.abstract	Marcus Komann, Frank Taubert, and Dietmar Fey Friedrich-Schiller-University Jena, Germany [email protected], [email protected]	en
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	FERS-Mitteilungen: Vol. 28, No. 1
dc.relation.ispartofseries	FERS-Mitteilungen
dc.subject	Cellular Automaton
dc.subject	Pipeline Stage
dc.subject	Fault Injection
dc.subject	Soft Error
dc.subject	Pipeline Architecture
dc.title	On the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic Computing	en
dc.type	Text/Journal Article
mci.reference.pages	47-52
dc.identifier.doi	10.1007/BF03345444