Open Access Article

Title: A decision system based on active perception and intelligent analysis for key location security information

Authors: Jingzhao Li; Zihua Chen; Guangming Cao; Mei Zhang

Addresses: College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' China University of Mining and Technology, Beijing, China ' College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China

Abstract: In various enterprises, the security data are manually entered by multiple security workers at different times, which can lead to disordered data in the system, and also, analysis decision files need to be manually processed. To solve these problems, this paper presents a decision system for key location security information based on active perception and intelligent analysis. First, the designed system is developed based on C/S framework. Then, a deep learning perception model is constructed. Experimental results show that this system can significantly reduce the heavy workload of security inspectors, and reduce the frequency of safety accidents.

Keywords: security risk information; semantic analysis; active perception; ant colony optimisation; ACO; intelligent decision making; convolutional neural networks; CNN; key location; decision system; intelligent analysis; intelligent extraction.

DOI: 10.1504/IJCSE.2019.103958

International Journal of Computational Science and Engineering, 2019 Vol.20 No.3, pp.335 - 344

Received: 26 Sep 2018
Accepted: 15 Nov 2018
Published online: 03 Dec 2019 *

 

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