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Paper Abstract and Keywords
Presentation 2023-07-20 14:40
[Poster Presentation] RFID Wireless Vibration and Shock Sensor System using Machine Learning
Song Zequn (Ibaraki Univ.), Budi Rahmadya (Andalas Univ.), Ran Sun, Shigeki Takeda (Ibaraki Univ.) WBS2023-18 SRW2023-16 MICT2023-15
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a feasibility study on monitoring earthquake-caused furniture vibrations using RFID sensor tags. Finding unstable objects by exploiting the vibrations caused by weaker earthquakes is effective as one of the potential countermeasures for large-scale earthquakes in earthquake-prone areas. RFID sensor tags provide battery-free operations lightweight and low-cost operations, making them easy to install on furniture. It can find unstable furniture by analyzing the vibration of furniture during small earthquakes. By introducing edge processing, RFID reader can automatically switch between long and short radiation time of electromagnetic waves and achieve long-term monitoring. Edge processing also reduces RFID reader temperature rise and energy consumption during long-term measurement. This RFID sensor system observed earthquake-cased furniture vibrations in a room on the fourth floor at E5 building at Ibaraki University, Hitachi, Ibaraki, Japan. From the observation results, it was found that the RFID sensor tags identify the vibration of furniture caused by earthquakes. By introducing machine learning, it is possible to determine whether an earthquake has occurred. For reference, a commercial accelerometer system is also used to monitor earthquakes. The RFID sensor system also observed the vibration duration times of the objects in a room and find the most unstable reference object. Hence, the proposed vibration sensing system helped achieve safe living in indoor environments.
Keyword (in Japanese) (See Japanese page) 
(in English) RFID Vibration /Shock Sensor / reduced energy consumption / machine learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 120, WBS2023-18, pp. 21-25, July 2023.
Paper # WBS2023-18 
Date of Issue 2023-07-13 (WBS, SRW, MICT) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF WBS2023-18 SRW2023-16 MICT2023-15

Conference Information
Committee SRW MICT WBS  
Conference Date 2023-07-20 - 2023-07-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata Univ. TOKIMATE 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network, MAC, WBAN, Sensor, mmWave, Medical and Healthcare ICT, Wideband (radio and optical) communications system, etc., Student poster session 
Paper Information
Registration To WBS 
Conference Code 2023-07-SRW-MICT-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) RFID Wireless Vibration and Shock Sensor System using Machine Learning 
Sub Title (in English)  
Keyword(1) RFID Vibration /Shock Sensor  
Keyword(2) reduced energy consumption  
Keyword(3) machine learning  
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1st Author's Name Song Zequn  
1st Author's Affiliation Ibaraki University (Ibaraki Univ.)
2nd Author's Name Budi Rahmadya  
2nd Author's Affiliation Andalas University (Andalas Univ.)
3rd Author's Name Ran Sun  
3rd Author's Affiliation Ibaraki University (Ibaraki Univ.)
4th Author's Name Shigeki Takeda  
4th Author's Affiliation Ibaraki University (Ibaraki Univ.)
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Speaker Author-1 
Date Time 2023-07-20 14:40:00 
Presentation Time 60 minutes 
Registration for WBS 
Paper # WBS2023-18, SRW2023-16, MICT2023-15 
Volume (vol) vol.123 
Number (no) no.120(WBS), no.121(SRW), no.122(MICT) 
Page pp.21-25 
#Pages 5 
Date of Issue 2023-07-13 (WBS, SRW, MICT) 

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