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Issue title: Special section: Artificial Intelligence driven Big Data Analytics for COVID-19
Guest editors: Xiaolong Li
Article type: Research Article
Authors: Dafei, Wu,a; * | Qinghong, Pan,b
Affiliations: [a] School of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, China | [b] School of Teacher Education, Hunan University of Science and Engineering, Yongzhou, China
Correspondence: [*] Corresponding author. Wu, Dafei, School of Electronic and Information Engineering, Hunan University of Science and Engineering, No. 130 Yangzitang Road, Lingling District, Yongzhou, China. E-mail: [email protected].
Abstract: In order to strengthen the management and control of personnel flow and the timeliness of information dissemination during the COVID-19 epidemic, it is necessary to improve the reliability of authority and content management. The extensive application of authority information management can closely connect the professional system with the production activities of enterprises. At present, the traditional authority management level is complex, and the management of complex data is chaotic. This paper is based on ASP.NET. This paper proposes a data authority management method. The main function of this method is to establish a standard three-tier structure of rights management level by using the open-source string template engine technology, tag analysis, SEO search engine optimization technology and information collection technology. This method provides a general process oriented and automatic management platform for users through the hierarchical management mechanism. This technology can meet people’s rights and content requirements for creating, publishing and updating websites without understanding the technology itself. The experimental results show that the rapid management mechanism based on authority management can accurately handle and manage authority and data which can improve the accuracy and timeliness of personnel flow control under the impact of the COVID-19 epidemic.
Keywords: ASP.NET, permission management system, COVID-19 epidemic, string template, hierarchical management mechanism
DOI: 10.3233/JIFS-189283
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8857-8866, 2020
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