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Безопасность информационных технологий
Article . 2017 . Peer-reviewed
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Безопасность информационных технологий
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Безопасность информационных технологий
Article . 2017
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Single Event Effects Rate Calculation with Different Models

ОЦЕНКА ПОКАЗАТЕЛЕЙ СТОЙКОСТИ ИНТЕГРАЛЬНЫХ СХЕМ ПРИ ВОЗДЕЙСТВИИ ТЯЖЕЛЫХ ЗАРЯЖЕННЫХ ЧАСТИЦ С ИСПОЛЬЗОВАНИЕМ РАЗЛИЧНЫХ МОДЕЛЕЙ
descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2017Publisher:National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)Journal:Bezopasnost informacionnyh tehnology (issn: 2074-7128, eissn: 2074-7136, Copyright policy )
Authors: A I Chumakov; V M Uzhegov; A O Akhmetov; D V Boychenko; A V Yanenko; N V Ryasnoy;

doi: 10.26583/bit.2017.1.09

Single Event Effects Rate Calculation with Different Models

Abstract

The paper presents SEE rate calculation using different models. It is shown the most conservative estimate for rate prediction is thin layer model. A new approach to set IC’s SEE requirements is suggested. It is based on operational reliability failure probability and SEE failure probability (harsh environment) comparison.

Related Organizations
Keywords

threshold LET and cross section, Information theory, SEE rate calculation, Information technology, Q350-390, single event effects, T58.5-58.64

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
gold