Enhancement of the reliability of an embedded surveillance system by multiple sensors using a majority voting mechanism

Bai, Ying-Wen; Teng, Hen; Shen, Li-Sih

doi:10.1109/imtc.2009.5168629

2009 IEEE Intrumentation and Measurement Technology Conference 2009

DOI: 10.1109/imtc.2009.5168629

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Enhancement of the reliability of an embedded surveillance system by multiple sensors using a majority voting mechanism

Ying-Wen Bai

Hen Teng

Li-Sih Shen

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2019

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Cited by 1 publication

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Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Lin

Pham²

2019

Int J Math, Eng, Manag Sci

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This paper deals with a special type of voting systems, called two-stage intervened decision-making systems, in which the decision time of each decision unit will be a random variable and some supervising mechanism is included. A new decision rule is applied to such kind of systems, which makes the decision units become interdependent from each other. The reliability and cost-benefit models are developed. The optimization for the models is discussed and the optimal solution for a special case is also derived. A numerical example for model optimization is presented as well as some model comparison. Even though a specific application is used for model formulation and derivation throughout this paper, the modeling results can be easily modified and applied to many other systems.

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Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Lin

Pham²

2019

Int J Math, Eng, Manag Sci

View full text Add to dashboard Cite

show abstract

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Enhancement of the reliability of an embedded surveillance system by multiple sensors using a majority voting mechanism

Cited by 1 publication

References 9 publications

Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

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