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Issue title: Complex evolutionary artificial intelligence in cognitive digital twinning
Guest editors: Neal Wagner, Sundhararajan, Le Hoang Son and Meng Joo
Article type: Research Article
Authors: Caiqian, Zhang; * | Xincheng, Zhang
Affiliations: College of Information Engineering, Kaifeng University, Kaifeng, Henan, China
Correspondence: [*] Corresponding author. Zhang Caiqian, Kaifeng University, E-mail: 3072105605@qq.com.
Abstract: The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.
Keywords: Internet of things, cloud service platform, multimedia system, database
DOI: 10.3233/JIFS-189253
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2613-2624, 2021
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