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Paper Abstract and Keywords
Presentation 2013-01-10 13:50
Statistical Analysis for Detection Characteristics of Subsurface Displacement by Ground Penetrating Radar Using FDTD Method with GPU Cluster
Yuki Koseki, Jun Sonoda (SNCT), Taichi Kon (NTT-AT), Motoyuki Sato (Tohoku Univ.) EMCJ2012-108
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we have analyzed detection characteristics of a subsurface displacement by ground penetrating radar (GPR) using the finite-difference time-domain (FDTD) simulation with graphic processing units (GPUs) cluster. Inhomogeneous underground with many randomly placed scatters which are different in size and electric permittivity have been modeled, we have computed detection characteristics of subsurface displacement in the inhomogeneous models using the FDTD method. We have estimated the detection of subsurface displacement by cross correlation value between homogeneous and inhomogeneous GPR profiles. Moreover, we have shown that the use of GPU cluster is much more faster and practical than conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) ground penetrating radar / detection of subsurface displacement / inhomogeneous subsurface / FDTD method / GPU cluster / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 372, EMCJ2012-108, pp. 37-42, Jan. 2013.
Paper # EMCJ2012-108 
Date of Issue 2013-01-03 (EMCJ) 
ISSN Print edition: ISSN 0913-5685    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 EMCJ2012-108

Conference Information
Committee EMCJ  
Conference Date 2013-01-10 - 2013-01-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication, EMC, etc. 
Paper Information
Registration To EMCJ 
Conference Code 2013-01-EMCJ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Statistical Analysis for Detection Characteristics of Subsurface Displacement by Ground Penetrating Radar Using FDTD Method with GPU Cluster 
Sub Title (in English)  
Keyword(1) ground penetrating radar  
Keyword(2) detection of subsurface displacement  
Keyword(3) inhomogeneous subsurface  
Keyword(4) FDTD method  
Keyword(5) GPU cluster  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuki Koseki  
1st Author's Affiliation Sendai National College of Technology (SNCT)
2nd Author's Name Jun Sonoda  
2nd Author's Affiliation Sendai National College of Technology (SNCT)
3rd Author's Name Taichi Kon  
3rd Author's Affiliation NTT Advanced Technology (NTT-AT)
4th Author's Name Motoyuki Sato  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2013-01-10 13:50:00 
Presentation Time 25 minutes 
Registration for EMCJ 
Paper # EMCJ2012-108 
Volume (vol) vol.112 
Number (no) no.372 
Page pp.37-42 
#Pages 6 
Date of Issue 2013-01-03 (EMCJ) 

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