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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3068107
Abstract: In this article, to accurately estimate the rare failure rates for large-scale circuits (e.g., SRAM) where process variations are modeled as truncated normal distributions in high-dimensional space, we propose a novel truncated scaled-sigma sampling (T-SSS)…
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Keywords:
rare failure;
space;
failure;
truncated normal ... See more keywords
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Published in 2021 at "Entropy"
DOI: 10.3390/e23020186
Abstract: In this paper, the parameter estimation problem of a truncated normal distribution is discussed based on the generalized progressive hybrid censored data. The desired maximum likelihood estimates of unknown quantities are firstly derived through the…
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Keywords:
based generalized;
truncated normal;
normal distribution;
generalized progressive ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14010025
Abstract: Error parameters are inevitable in systems. In formal verification, previous reasoning methods seldom considered the probability information of errors. In this article, errors are described as symmetric truncated normal intervals consisting of the intervals and…
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Keywords:
reasoning methods;
density;
reasoning method;
truncated normal ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020353
Abstract: The degradation rates of many engineering systems are always positive in practical applications. In some cases, the degradation process is approximately linear, such as train wheel wear degradation and an increase in the operating current…
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Keywords:
transmuted truncated;
degradation;
reliability;
truncated normal ... See more keywords