Soft-error hierarchical evaluation algorithm of fault vulnerabilities based on sensitive attributes of single event effect

Autor:	Zhu Qi, Lai Xiaoling, Gao Xiang, Ju Ting, Yangming Guo, Zhou Guochang
Rok vydání:	2015
Předmět:	business.industry Computer science Evaluation algorithm Function (mathematics) Fault (power engineering) Machine learning computer.software_genre Soft error Single effect Digital image processing Algorithm design Artificial intelligence business computer Digital signal processing
Zdroj:	2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI).
Popis:	To mitigate the soft-error effects for designing digital signal processing systems, a hierarchical evaluation algorithm is proposed in this paper, which is used to estimate the latent fault vulnerabilities based on the analysis of soft-error sensitive attributes. In this algorithm, the evaluated scales of sensitive attributes are devised for soft-error vulnerability factors of function modules. And then the vulnerable evaluation model of hierarchical intervals is conceived to calculate the confidence of function modules based on the gray system. Finally, the simulation results prove this model effective so as to guide soft-error protection design of digital signal processing systems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::73d5606944502a969601fdfcf8af06cb https://doi.org/10.1109/icemi.2015.7494255 Zobrazit plný text záznamu