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Paper Abstract and Keywords
Presentation 2020-07-10 15:20
An examination of a predictive control method for lighting using wireless sensor networks
Yuki Takayama, Yusuke Yokota (Japan Women's Univ.) SeMI2020-14
Abstract (in Japanese) (See Japanese page) 
(in English) Light management for buildings or streets is important for safety, security and comfort. However, it is not economical to keep the lights on in places without people. Although there is a lighting system with power-saving feature that lights up automatically when it detects moving objects, it has a problem that it does not light up unless the objects approach the immediate vicinity of the lights. In this work, we aim to realize the system that collects motion detection data of objects using a wireless sensor network, predicts the approach of a person from a position farther than before, and appropriately controls lighting on / off. In this system, data is exchanged between neighboring nodes, and each node autonomously judges lighting control. In this work, we discussed a predictive control method and made experiments for the realization of it. First, we constructed a system to verify the predictive control method and made a data acquisition experiment using several PIR motion sensors. Next, we examined methods for human movement prediction and lighting control based on the acquired data, and confirmed that control results provide sufficient utility. We also examined a processing method of the distributed system that will be used for the actual lighting control system, based on the centralized control algorithm verified by our experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensor Networks / Light Control / Distributed Processing / Cooperative Processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 91, SeMI2020-14, pp. 63-68, July 2020.
Paper # SeMI2020-14 
Date of Issue 2020-07-01 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SR NS SeMI RCC RCS  
Conference Date 2020-07-08 - 2020-07-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication and Network Technology of the AI Age, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc 
Paper Information
Registration To SeMI 
Conference Code 2020-07-SR-NS-SeMI-RCC-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An examination of a predictive control method for lighting using wireless sensor networks 
Sub Title (in English)  
Keyword(1) Wireless Sensor Networks  
Keyword(2) Light Control  
Keyword(3) Distributed Processing  
Keyword(4) Cooperative Processing  
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1st Author's Name Yuki Takayama  
1st Author's Affiliation Japan Women's University (Japan Women's Univ.)
2nd Author's Name Yusuke Yokota  
2nd Author's Affiliation Japan Women's University (Japan Women's Univ.)
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Speaker Author-1 
Date Time 2020-07-10 15:20:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2020-14 
Volume (vol) vol.120 
Number (no) no.91 
Page pp.63-68 
#Pages
Date of Issue 2020-07-01 (SeMI) 


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