Paper Abstract and Keywords |
Presentation |
2023-07-14 16:30
[Invited Lecture]
Propagation Loss Estimation in Bridge Environment using 3D Structural Information as Deep Learning Features Satoshi Iwasaki, Yuta Taki, Kazuhide Kiuchi, Yukiko Kishiki (KKE), Miyuki Hirose, Tetsuro Imai (TDU) AP2023-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In Society 5.0, where diverse wireless communications are utilized, there is a demand for rapid design, evaluation, and verification of new wireless systems. This paper aims to develop propagation loss estimation models enabled by CPS(Cyber Physical Systems) emulation. Specifically, a propagation loss estimation model for drone-to-drone communication, considering bridge inspection, will be constructed and evaluated using measurement data. To directly input the complex propagation environment into deep learning, point cloud data is employed. This paper reports the findings of the investigation using PointNet, a machine learning method utilizing point cloud data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CPS / Point cloud data / Deep Learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 103, AP2023-64, pp. 181-186, July 2023. |
Paper # |
AP2023-64 |
Date of Issue |
2023-07-05 (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) |
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AP2023-64 |
Conference Information |
Committee |
AP SANE SAT |
Conference Date |
2023-07-12 - 2023-07-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The Citizen Activity Center |
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 |
2023-07-AP-SANE-SAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Propagation Loss Estimation in Bridge Environment using 3D Structural Information as Deep Learning Features |
Sub Title (in English) |
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CPS |
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Point cloud data |
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Deep Learning |
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1st Author's Name |
Satoshi Iwasaki |
1st Author's Affiliation |
Kozo Keikaku Engineering Inc. (KKE) |
2nd Author's Name |
Yuta Taki |
2nd Author's Affiliation |
Kozo Keikaku Engineering Inc. (KKE) |
3rd Author's Name |
Kazuhide Kiuchi |
3rd Author's Affiliation |
Kozo Keikaku Engineering Inc. (KKE) |
4th Author's Name |
Yukiko Kishiki |
4th Author's Affiliation |
Kozo Keikaku Engineering Inc. (KKE) |
5th Author's Name |
Miyuki Hirose |
5th Author's Affiliation |
Tokyo Denki University (TDU) |
6th Author's Name |
Tetsuro Imai |
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Tokyo Denki University (TDU) |
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Speaker |
Author-1 |
Date Time |
2023-07-14 16:30:00 |
Presentation Time |
20 minutes |
Registration for |
AP |
Paper # |
AP2023-64 |
Volume (vol) |
vol.123 |
Number (no) |
no.103 |
Page |
pp.181-186 |
#Pages |
6 |
Date of Issue |
2023-07-05 (AP) |
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