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Paper Abstract and Keywords
Presentation 2024-07-24 16:40
[Invited Lecture] A Method for Estimating Ray-Tracing Parameters Using Machine Learning -- Validation in Indoor Environments --
Satoshi Iwasaki, Kento Sugiyama, Yukiko Kishiki (KKE) AP2024-26
Abstract (in Japanese) (See Japanese page) 
(in English) The ray tracing method has been used in many wireless system studies because it provides various radio propagation characteristics, such as path trajectories considering the three-dimensional space. While the ray tracing method has the problem of increasing computation time due to the complexity and wide range of the surrounding environment. In addition, when comparing the simulation results of the ray tracing method with measured data, it is necessary to search for the parameters of the ray tracing method, which requires repetitive calculations. In this paper, we evaluate the possibility of finding optimal ray tracing parameters using a surrogate model based on machine learning and the improvement of parameter search time by the surrogate model.
Keyword (in Japanese) (See Japanese page) 
(in English) Ray tracing / Surrogate model / Deep learning / Point cloud data / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 126, AP2024-26, pp. 25-30, July 2024.
Paper # AP2024-26 
Date of Issue 2024-07-17 (AP) 
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 AP2024-26

Conference Information
Committee AP SANE SAT  
Conference Date 2024-07-24 - 2024-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Frontier Research in Applied Sciences Building, Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2024-07-AP-SANE-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Estimating Ray-Tracing Parameters Using Machine Learning 
Sub Title (in English) Validation in Indoor Environments 
Keyword(1) Ray tracing  
Keyword(2) Surrogate model  
Keyword(3) Deep learning  
Keyword(4) Point cloud data  
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1st Author's Name Satoshi Iwasaki  
1st Author's Affiliation KOZO KEIKAKU ENGINEERING INC. (KKE)
2nd Author's Name Kento Sugiyama  
2nd Author's Affiliation KOZO KEIKAKU ENGINEERING INC. (KKE)
3rd Author's Name Yukiko Kishiki  
3rd Author's Affiliation KOZO KEIKAKU ENGINEERING INC. (KKE)
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Speaker Author-1 
Date Time 2024-07-24 16:40:00 
Presentation Time 20 minutes 
Registration for AP 
Paper # AP2024-26 
Volume (vol) vol.124 
Number (no) no.126 
Page pp.25-30 
#Pages 6 
Date of Issue 2024-07-17 (AP) 

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