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Design and Implementation of Platform Protocol and Client of Hakka Residential System Based on Artificial Intelligence

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Artificial Intelligence in HCI (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13336))

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Abstract

Nowadays, with the rapid development of science and technology and the wide popularization and application of Internet and computer technology, many emerging technologies have emerged, among which AIT (Artificial Intelligence Technology) is one. With the increasing demand for high-quality life, a variety of smart home systems and platforms emerge in endlessly. In this paper, in order to explore the effect of the application of AIT in the design and implementation of Hakka residential system platform protocol and client, we select two companies specializing in Hakka residential system as the experimental research object. The results of the experimental research show that the application of AIT in the design and implementation of Hakka residential system platform protocol and client H company, which has developed AIT, has higher design efficiency and client utilization rate than G company due to traditional methods. The highest design efficiency and utilization rate of H company are 98.71% and 92.35% respectively, while the highest design efficiency and client utilization rate of G company are 84.39% and 72.36% respectively.

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Acknowledgement

This study was supported by the Key Project of Jiangxi Province Culture Planning Project, China (Grant No. YG2018149I), the 2021 Annual Social science Planning project of Jiangxi Province in China (Grant No.21JY14),the Key Project of Jiangxi Province Education Science Planning Project in China (Grant No. 20ZD062), the 2020 Annual Ganzhou Science and Technology Planning Project in China.

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Correspondence to Shengqing Huang .

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Li, H., Huang, S. (2022). Design and Implementation of Platform Protocol and Client of Hakka Residential System Based on Artificial Intelligence. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2022. Lecture Notes in Computer Science(), vol 13336. Springer, Cham. https://doi.org/10.1007/978-3-031-05643-7_18

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  • DOI: https://doi.org/10.1007/978-3-031-05643-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05642-0

  • Online ISBN: 978-3-031-05643-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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