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2018 | OriginalPaper | Chapter

Design of TensorFlow-Based Proactive Smart Home Managers

Authors : Min-Hyung Park, Young-Hwan Jang, Yong-Wan Ju, Seok-Cheon Park

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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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.

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Metadata
Title
Design of TensorFlow-Based Proactive Smart Home Managers
Authors
Min-Hyung Park
Young-Hwan Jang
Yong-Wan Ju
Seok-Cheon Park
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_14