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Paper Abstract and Keywords
Presentation 2022-01-22 14:55
Interference Prediction for SmartBAN Channel Migration Using LSTM
Takahiro Ito, Aoi Nakamae (Hiroshima City Univ.), Masaaki Yamanaka (Japan Coast Guard Academy), Hirokazu Tanaka (Hiroshima City Univ.) NLP2021-110 MICT2021-85 MBE2021-71
Abstract (in Japanese) (See Japanese page) 
(in English) Healthcare monitoring using wearable sensors is attracting attention. SmartBAN, which is a communication standard for medical healthcare, uses 2.4GHz band like as Wi-Fi and Bluetooth, so interference avoidances are acquired. However, the method of interference avoidances in SmartBAN are implementation dependent. In this study, we propose a method for predicting the strength of interferences using a long short-term memory (LSTM) network. The effectiveness of the proposed method is demonstrated by experimental evaluation.
Keyword (in Japanese) (See Japanese page) 
(in English) Body Area Network / SmartBAN / Long Short-Term Memory / Interference Avoidance / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 336, MICT2021-85, pp. 175-180, Jan. 2022.
Paper # MICT2021-85 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 
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 NLP2021-110 MICT2021-85 MBE2021-71

Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MICT 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Interference Prediction for SmartBAN Channel Migration Using LSTM 
Sub Title (in English)  
Keyword(1) Body Area Network  
Keyword(2) SmartBAN  
Keyword(3) Long Short-Term Memory  
Keyword(4) Interference Avoidance  
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1st Author's Name Takahiro Ito  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Aoi Nakamae  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Masaaki Yamanaka  
3rd Author's Affiliation Japan Coast Guard Academy (Japan Coast Guard Academy)
4th Author's Name Hirokazu Tanaka  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2022-01-22 14:55:00 
Presentation Time 25 minutes 
Registration for MICT 
Paper # NLP2021-110, MICT2021-85, MBE2021-71 
Volume (vol) vol.121 
Number (no) no.335(NLP), no.336(MICT), no.337(MBE) 
Page pp.175-180 
#Pages
Date of Issue 2022-01-14 (NLP, MICT, MBE) 


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