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Issue title: Artificial Intelligence as a maturing and growing technology: An urgent need for intelligent systems
Guest editors: X. Yuan and M. Elhoseny
Article type: Research Article
Authors: Li, Weiguang; *
Affiliations: School of Electrical Information, Changchun Guanghua University, Changchun, Jilin, China
Correspondence: [*] Corresponding author. Weiguang Li, School of Electrical Information, Changchun Guanghua University, Changchun 130033, Jilin, China. E-mail: [email protected].
Abstract: With the vigorous promotion of the construction of smart campus by the ministry of education, the development concept of smart campus will have broad application prospects. However, colleges and universities are still at the stage of digital campus and there are many problems left. It is difficult to complete the transition from digital campus to smart campus. The main problem is that the campus data has only been digitized but not informational. The purpose of this article is to study a smart campus management system based on the Internet of Things technology. This research uses the unified data collection source of face recognition terminal hardware products based on the Internet of Things technology, unified management in the background of the system, and calculates and analyzes the data to obtain valuable campus big data. This study designed and implemented a complete smart campus management system by analyzing the system design principles and design goals. This system is mainly divided into the face recognition terminal hardware and smart campus software system based on the Internet of Things. By analyzing the data generated by students and faculty and staff, it can provide a reference for campus managers to improve management quality, and help teachers and students to formulate more efficient learning and teaching and research plans. This article tests the practicability of the system and obtains the user’s satisfaction as 8.0.
Keywords: Internet of things, smart campus, management system, big data, smart terminal
DOI: 10.3233/JIFS-189354
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3159-3168, 2021
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