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      Daily Information Management System for Postgraduates to Check In and Out of the Dormitory Based on Mobile Edge Computing

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      Mobile Information Systems

      Hindawi Limited

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          Abstract

          In recent years, the enrollment scale of graduate students has been increasing, and tutor resources are relatively scarce. Tutors often need to bring in dozens or even dozens of students, which puts a heavy burden on the tutor’s work. In order to reduce the work pressure of tutors and to manage graduate students in a scientific and standardized manner, this paper has designed a daily information management system for graduate students entering and exiting the dormitory to check in and out, which realizes the management of student attendance, work, and training and is carried out to improve the quality of graduate education. In this paper, based on the actual situation of the student dormitory, we comprehensively analyze user needs, management modes, existing resources, etc. and propose a Web application system divided into fingerprint access control, attendance data manipulation, and B/S architecture. Using design and development ideas for four functional modules on the client and management side and MATLAB simulation, we compare a three-tier and two-tier processing architecture under an average resource allocation scheme in terms of model utility, model power consumption, task delay constraints, and differences in the number of users. The experiment proves that, through the test of LoadRunner software, the experimental result is the average value of multiple tests. After the analysis of the performance test result, the peak number of concurrent users of this system is 1500. The daily information management model designed in this paper for graduate students to enter and exit the dormitory shows that it is stable, easy to operate, and interface-friendly and provides preset functions. It offers a new way for graduate students to manage their daily lives and has high practical value.

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          Internet of Things and Big Data Analytics for Smart and Connected Communities

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            Intelligent edge computing based on machine learning for smart city

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              Customers perspectives on adoption of cloud computing in banking sector

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                Author and article information

                Contributors
                Journal
                Mobile Information Systems
                Mobile Information Systems
                Hindawi Limited
                1875-905X
                1574-017X
                August 6 2021
                August 6 2021
                : 2021
                : 1-12
                Affiliations
                [1 ]Graduate Office, Guangzhou Academy of Fine Arts, Guangzhou 510260, Guangdong, China
                [2 ]Department of Student Affairs, Guangzhou Academy of Fine Arts, Guangzhou 510006, Guangdong, China
                Article
                10.1155/2021/5167395
                © 2021

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