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| Presentation | 2019-07-18 14:05 [Invited Lecture] Propagation Loss Estimation considering Ray Tracing Results for Deep Learning Input Data Satoshi Iwasaki, Gilbert Siy Ching, Rikisenia Lukita, Wataru Okamura, Yukiko Kishiki (KKE)  AP2019-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Propagation loss estimation can be achieved from models based on measurement or from simulations based on ray tracing method. Deep learning has been applied to various tasks in recent years, and studies applied to propagation loss estimation have also been conducted. Deep learning requires a large amount of data. In this research, a portion of the training data uses simulation results of ray tracing, and it was examined whether the data contributes to the improvement of accuracy. To do this, the input parameter combination that contributes to the accuracy was determined. The data that is not applicable was identified and the input parameters were improved. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ray Trace / Deep Learning / Propagation Loss Estimation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 120, AP2019-33, pp. 63-68, July 2019. | |
| Paper # | AP2019-33 | |
| Date of Issue | 2019-07-10 (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 | AP2019-33 |
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| Conference Information | |
| Committee | AP SANE SAT |
| Conference Date | 2019-07-17 - 2019-07-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Subsurface Electromagnetic Measurements, Sattelite Communication, Radio propagation, Antennas and Propagation |
| Paper Information | |
| Registration To | AP |
| Conference Code | 2019-07-AP-SANE-SAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Propagation Loss Estimation considering Ray Tracing Results for Deep Learning Input Data |
| Sub Title (in English) | |
| Keyword(1) | Ray Trace |
| Keyword(2) | Deep Learning |
| Keyword(3) | Propagation Loss Estimation |
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| 1st Author's Name | Satoshi Iwasaki |
| 1st Author's Affiliation | Kozo Keikaku Engineering Inc. (KKE) |
| 2nd Author's Name | Gilbert Siy Ching |
| 2nd Author's Affiliation | Kozo Keikaku Engineering Inc. (KKE) |
| 3rd Author's Name | Rikisenia Lukita |
| 3rd Author's Affiliation | Kozo Keikaku Engineering Inc. (KKE) |
| 4th Author's Name | Wataru Okamura |
| 4th Author's Affiliation | Kozo Keikaku Engineering Inc. (KKE) |
| 5th Author's Name | Yukiko Kishiki |
| 5th Author's Affiliation | Kozo Keikaku Engineering Inc. (KKE) |
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| Speaker | Author-1 |
| Date Time | 2019-07-18 14:05:00 |
| Presentation Time | 25 minutes |
| Registration for | AP |
| Paper # | AP2019-33 |
| Volume (vol) | vol.119 |
| Number (no) | no.120 |
| Page | pp.63-68 |
| #Pages | 6 |
| Date of Issue | 2019-07-10 (AP) |
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