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Paper Abstract and Keywords
Presentation 2025-01-29 11:45
Study on Low-Complexity Hazardous Material Identification Method Using Density-Based Clustering in Sub-THz-band Imaging
Tsubasa Kato, Okamoto Eiji (Nitech) IT2024-31 SIP2024-70 RCS2024-214
Abstract (in Japanese) (See Japanese page) 
(in English) The 300 GHz sub-THz wave has a wavelength of approximately 1 mm, enabling tomographic imaging at a desired distance with a high resolution of less than 1 cm in the near field, and is expected to be used in security applications such as hazardous material detection. However, to locate the depth of a hazardous object, it is necessary to generate images focused on each depth, which requires an enormous amount of computation. In this paper, we propose a low-complexity hazardous material identification method to reduce the computational complexity of depth location by dividing the data roughly into elevation, azimuth, and distance directions and applying a clustering method based on data density called DBSCAN. The results of analysis using measured data show that the proposed algorithm can reduce the amount of computation by more than 80% while maintaining the detection capability.
Keyword (in Japanese) (See Japanese page) 
(in English) 6G / sub-terahertz wave / sensing / array antenna / radar image / DBSCAN / clustering /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 366, RCS2024-214, pp. 31-36, Jan. 2025.
Paper # RCS2024-214 
Date of Issue 2025-01-22 (IT, SIP, RCS) 
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 IT2024-31 SIP2024-70 RCS2024-214

Conference Information
Committee RCS SIP IT  
Conference Date 2025-01-29 - 2025-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kaikyou-messe 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematics, Information Theory, etc. 
Paper Information
Registration To RCS 
Conference Code 2025-01-RCS-SIP-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Low-Complexity Hazardous Material Identification Method Using Density-Based Clustering in Sub-THz-band Imaging 
Sub Title (in English)  
Keyword(1) 6G  
Keyword(2) sub-terahertz wave  
Keyword(3) sensing  
Keyword(4) array antenna  
Keyword(5) radar image  
Keyword(6) DBSCAN  
Keyword(7) clustering  
Keyword(8)  
1st Author's Name Tsubasa Kato  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Okamoto Eiji  
2nd Author's Affiliation Nagoya Institute of Technology (Nitech)
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Speaker Author-1 
Date Time 2025-01-29 11:45:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2024-31, SIP2024-70, RCS2024-214 
Volume (vol) vol.124 
Number (no) no.364(IT), no.365(SIP), no.366(RCS) 
Page pp.31-36 
#Pages 6 
Date of Issue 2025-01-22 (IT, SIP, RCS) 

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