Reliability Evaluation of Public Security Face Recognition System Based on Continuous Bayesian Network
Joint Authors
Liu, Zhiqiang
Zhang, Hongzhou
Wang, Shengjin
Hong, Weijun
Ma, Jianhui
He, Yanfeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
For the sake of measuring the reliability of actual face recognition system with continuous variables, after analyzing system structure, common failures, influencing factors of reliability, and maintenance data of a public security face recognition system in use, we propose a reliability evaluation model based on Continuous Bayesian Network.
We design a Clique Tree Propagation algorithm to reason and solve the model, which is realized by R programs, and as a result, the reliability coefficient of the actual system is obtained.
Subsequently, we verify the Continuous Bayesian Network by comparing its evaluation results with those of traditional Bayesian Network and Ground Truth.
According to these evaluation results, we find out some weaknesses of the system and propose some optimization strategies by the way of finding the right remedies and filling in blanks.
In this paper, we synthetically apply a variety of methods, such as qualitative analysis, quantitative analysis, theoretical analysis, and empirical analysis, to solve the unascertained causal reasoning problem.
The evaluation method is reasonable and valid, the results are consistent with realities and objective, and the proposed strategies are very operable and targeted.
This work is of theoretical significance to research on reliability theory.
It is also of practical significance to the improvement of the system’s reliability and the ability of public order maintenance.
American Psychological Association (APA)
Liu, Zhiqiang& Zhang, Hongzhou& Wang, Shengjin& Hong, Weijun& Ma, Jianhui& He, Yanfeng. 2020. Reliability Evaluation of Public Security Face Recognition System Based on Continuous Bayesian Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1196669
Modern Language Association (MLA)
Liu, Zhiqiang…[et al.]. Reliability Evaluation of Public Security Face Recognition System Based on Continuous Bayesian Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1196669
American Medical Association (AMA)
Liu, Zhiqiang& Zhang, Hongzhou& Wang, Shengjin& Hong, Weijun& Ma, Jianhui& He, Yanfeng. Reliability Evaluation of Public Security Face Recognition System Based on Continuous Bayesian Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1196669
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196669