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Paper Abstract and Keywords
Presentation 2021-10-14 10:15
An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet
Yu Sakanishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai (Univ of Hyogo) CS2021-52
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, indoor navigation system is one of the important technologies. We are studying
an indoor location estimation technique using wireless LAN employing a Finger Print scheme. A database (DB) and user data (UD) are measured from wireless LAN radio waves to estimate the location using the Finger Print. A CNN is utilized to compare the UD and DB. However, the CNN estimation accuracy may deteriorate due to the degradation problem caused by the increase in the number of middle layers and the gradient vanishing problem. ResNet is a solution to this problem. In this study, we have evaluated estimation accuracies of CNN and ResNet experimentally.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless LAN / Finger Print / CNN / ResNet / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 198, CS2021-52, pp. 1-5, Oct. 2021.
Paper # CS2021-52 
Date of Issue 2021-10-07 (CS) 
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)
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Conference Information
Committee CS  
Conference Date 2021-10-14 - 2021-10-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Broadband access, Home network, Network service, Communication applications, etc. 
Paper Information
Registration To CS 
Conference Code 2021-10-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet 
Sub Title (in English)  
Keyword(1) Wireless LAN  
Keyword(2) Finger Print  
Keyword(3) CNN  
Keyword(4) ResNet  
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1st Author's Name Yu Sakanishi  
1st Author's Affiliation University of Hyogo (Univ of Hyogo)
2nd Author's Name Satoru Aikawa  
2nd Author's Affiliation University of Hyogo (Univ of Hyogo)
3rd Author's Name Shinichiro Yamamoto  
3rd Author's Affiliation University of Hyogo (Univ of Hyogo)
4th Author's Name Yuta Sakai  
4th Author's Affiliation University of Hyogo (Univ of Hyogo)
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Speaker Author-1 
Date Time 2021-10-14 10:15:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2021-52 
Volume (vol) vol.121 
Number (no) no.198 
Page pp.1-5 
#Pages
Date of Issue 2021-10-07 (CS) 


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