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The Development of Smart Home Disaster Prevention System

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6GN for Future Wireless Networks (6GN 2020)

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Abstract

Building smart home within Internet of Things (IoT) technology can bring residents living convenience. A smart home infrastructure needs to be built with the Internet of things and wireless network. In this article, using the raspberry Pi to build a smart home disaster prevention system. The system functions proposed in this article are: 1. Real-time monitoring of home environment and safety issues, 2. Indoor temperature and humidity sensing, 3. Pot temperature and humidity sensing, 4. Disaster detection, 5. Fish tank water level detection. The proposed method helps to provide a comfortable home environment. It also reduces the damage caused by home disasters. Using the concept of home automation, we propose the smart home disaster prevention system which can reduce the pressure on residents to maintain the home environment.

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References

  1. Chamoli, S., Singh, S., Guo, C.: Metal-Dielectric-Metal metamaterial-based ultrafast hydrogen sensors in the water transmission window. IEEE Sens. Lett. 1, 1 (2020)

    Article  Google Scholar 

  2. Dargie, W., Wen, J.: A simple clustering strategy for wireless sensor networks. IEEE Sens. Lett. 1, 1 (2020)

    Article  Google Scholar 

  3. England, N.: The graphics system for the 80’s. IEEE Comput. Graph. Appl. 40(3), 112–119 (2020)

    Article  Google Scholar 

  4. Sawant, J., Chaskar, U., Ginoya, D.: Robust control of cooperative adaptive cruise control in the absence of information about preceding vehicle acceleration. IEEE Trans. Intell. Transp. Syst. 1, 1 (2020)

    Article  Google Scholar 

  5. Ballo, A., Grasso, A.D., Palumbo, G.: Charge pump improvement for energy harvesting applications by node pre-charging. IEEE Trans. Circuits Syst. II Express Briefs 1, 1 (2020)

    Google Scholar 

  6. Xie, Y., Chen, F.-C., Chu, Q.-X., Xue, Q.: Dual-band coaxial filter and diplexer using stub-loaded resonators. IEEE Trans. Microw. Theory Tech. 1, 1 (2020)

    Google Scholar 

  7. Chen, C., Yang, S., Wang, Y., Guo, B., Zhang, D.: CrowdExpress: a probabilistic framework for on-time crowdsourced package deliveries. IEEE Trans. Big Data 1, 1 (2020)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Business Management, Chungyu University of Film and Arts, New Taipei City, Taiwan

    Zhan-Ping Su

  2. Department of Leisure Sports and Health Management, St. John’s University, New Taipei City, Taiwan

    Chin-Chia Hsu

  3. Department of Information Management, National Penghu University of Science and Technology, Penghu, Taiwan

    Zhen-Yu Wu

  4. Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan

    Chia-Hui Liu

Authors
  1. Zhan-Ping Su
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  2. Chin-Chia Hsu
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  3. Zhen-Yu Wu
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  4. Chia-Hui Liu
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Corresponding author

Correspondence to Chia-Hui Liu .

Editor information

Editors and Affiliations

  1. College of Intelligence and Computing, Tianjin University, Tianjin, Tianjin, China

    Xiaofei Wang

  2. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Victor C. M. Leung

  3. School of Computer Science and Technology, Tianjin University, Tianjin, Tianjin, China

    Keqiu Li

  4. University of Science and Technology, Beijing, China

    Haijun Zhang

  5. Shenzhen University, Shenzhen, China

    Xiping Hu

  6. National University of Defense Technology, Changsha, China

    Qiang Liu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Su, ZP., Hsu, CC., Wu, ZY., Liu, CH. (2020). The Development of Smart Home Disaster Prevention System. In: Wang, X., Leung, V.C.M., Li, K., Zhang, H., Hu, X., Liu, Q. (eds) 6GN for Future Wireless Networks. 6GN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-63941-9_35

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  • DOI: https://doi.org/10.1007/978-3-030-63941-9_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63940-2

  • Online ISBN: 978-3-030-63941-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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