Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/677
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dc.contributor.authorMansour, Wassimen_US
dc.contributor.authorVelazco, Raoulen_US
dc.contributor.authorAyoubi, Raficen_US
dc.date.accessioned2020-12-23T08:34:54Z-
dc.date.available2020-12-23T08:34:54Z-
dc.date.issued2013-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/677-
dc.description.abstractA fully automated fault-injection method is presented. It deals with transient faults resulting from the impact of energetic particles and it can be applied early at design phase, on any circuit for which the register transfer level model is available. Results issued from its application to an Artificial Neural Network benchmark application put in evidence the accuracy of the studied method to predict error rates due to transient faults generated by the radiation environment.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectTransientsen_US
dc.subjectNeural netsen_US
dc.subjectRadiation hardening (electronics)en_US
dc.titleA method and an automated tool to perform SET fault-injection on HDL-based designsen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Microelectronics (ICM) (25th : 15-18 Dec. 2013 : Beirut, Lebanon)en_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.date.catalogued2018-01-10-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/abstract/document/6734986/en_US
dc.identifier.OlibID176016-
dc.relation.ispartoftext2013 25th International Conference on Microelectronics (ICM)en_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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