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Paper Abstract and Keywords
Presentation 2019-11-06 17:05
A predictive light control system using wireless sensor networks
Yuki Takayama, Yusuke Yokota (Japan Women's Univ.) SeMI2019-97
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 addition, regular lighting control schedules are created automatically by the function that stores and analyzes motion detection data on a history. We also provide a function to automatically generate. In this paper, several methods mentioned above are proposed and techniques for implementation of them are discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensor Networks / Light Control / Distributed Processing / Cooperative Processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 266, SeMI2019-97, pp. 139-144, Nov. 2019.
Paper # SeMI2019-97 
Date of Issue 2019-10-29 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
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 SRW SeMI CNR  
Conference Date 2019-11-05 - 2019-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kozo Keisaku Engineering Inc. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop (Oral or Poster presentation) 
Paper Information
Registration To SeMI 
Conference Code 2019-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A predictive light control system 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 2019-11-06 17:05:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-97 
Volume (vol) vol.119 
Number (no) no.266 
Page pp.139-144 
#Pages
Date of Issue 2019-10-29 (SeMI) 


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