Early Detection System for Gas Leakage and Fire in Smart Home Using Machine Learning

研究成果: Conference contribution

6 引用 (Scopus)

抜粋

Making houses more inclusive, safer, resilient and sustainable is an important requirement that must be achieved in every society. Gas leakage and fires in smart houses are serious issues that are causing people's death and properties losses. Currently, preventing and alerting systems are widely available. However, they are generally individual units having elementary functions without adequate capabilities of multi-sensing and interaction with the existing Machine-to-Machine (M2M) home network along with the outside networks such as Internet. Indeed, this communication paradigm will be clearly the most dominant in the near future for M2M home networks. In this paper, we are proposing an efficient system model to integrate the gas leakage and fire detection system into a centralized M2M home network using low cost devices. Then, through machine learning approach, we are involving a data mining method with the sensed information and detect the abnormal air state changes in hidden patterns for early prediction of the risk incidences. This work will help to enhance safety and protect property in smart houses.

元の言語English
ホスト出版物のタイトル2019 IEEE International Conference on Consumer Electronics, ICCE 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538679104
DOI
出版物ステータスPublished - 2019 3 6
イベント2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States
継続期間: 2019 1 112019 1 13

出版物シリーズ

名前2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference2019 IEEE International Conference on Consumer Electronics, ICCE 2019
United States
Las Vegas
期間19/1/1119/1/13

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Media Technology
  • Electrical and Electronic Engineering

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  • これを引用

    Salhi, L., Silverston, T., Yamazaki, T., & Miyoshi, T. (2019). Early Detection System for Gas Leakage and Fire in Smart Home Using Machine Learning. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 [8661990] (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2019.8661990