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Design of TensorFlow-Based Proactive Smart Home Managers

  • Min-Hyung Park
  • Young-Hwan Jang
  • Yong-Wan Ju
  • Seok-Cheon Park
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

In recent years, with IoT(Internet of Things) technology as the main focus, device operation and control technology in smart homes has been attracting considerable attention, and home IoT device management services are being provided by various companies, including communication companies. The smart home manager system manages smart devices used in homes, and it provides only the status value information and control function of the currently registered devices. Thus, unnecessary access procedures occur due to the characteristic of the smart home, which uses a smart device repeatedly for the same purpose. To resolve such shortcomings, in this paper, the Proactive Smart Home Manager has been designed, which can predict and suggest users the next steps to take by user usage pattern analysis and inference via machine learning.

Keywords

IoT Smart home manager Machine learning TensorFlow Logistic Classification 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Min-Hyung Park
    • 1
  • Young-Hwan Jang
    • 1
  • Yong-Wan Ju
    • 2
  • Seok-Cheon Park
    • 3
  1. 1.Department of IT Convergence EngineeringGachon UniversitySeongnamSouth Korea
  2. 2.Correspondence Center of Korea Internet & Security AgencyNajuSouth Korea
  3. 3.Department of Computer EngineeringGachon UniversitySeongnamSouth Korea

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