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| Paper Abstract and Keywords | ||
| Presentation | 2018-11-30 10:45 Performance Characteristics of Transportation Mode Recognition Using Communication Quality of Video Distribution Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.)  CS2018-80 IE2018-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Because the accelerometer sensors and global positioning system (GPS) produce additional mobile traffic and increase energy consumption, we propose a recognition method only using communication quality factors. In the proposed method, instead of using accelerometer sensors and GPS, we collect mobile TCP throughputs, received-signal strength indicators (RSSIs), and cellular base-station IDs (Cell IDs). In our previous work, we confirmed that the proposed method can recognize transportation modes by high accuracy. In this paper, we summarize the contributions of our previous work, and newly validate evaluations through more practical collecting scenarios, including different locations and dates. In addition, we implement our proposed system by using edge/cloud computing platform and evaluate the system performance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Mobile sensing / Transportation mode recognition / Communication quality / Deep Learning / Quality of Service / Edge cloud / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 328, CS2018-80, pp. 71-76, Nov. 2018. | |
| Paper # | CS2018-80 | |
| Date of Issue | 2018-11-22 (CS, IE) | |
| 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 | CS2018-80 IE2018-59 |
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| Conference Information | |
| Committee | CS IE IPSJ-AVM ITE-BCT |
| Conference Date | 2018-11-29 - 2018-11-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokushima University (Memorial Hall of Almuni(Engineering)) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image coding, Communications and streaming technologies, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2018-11-CS-IE-AVM-BCT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Characteristics of Transportation Mode Recognition Using Communication Quality of Video Distribution |
| Sub Title (in English) | |
| Keyword(1) | Mobile sensing |
| Keyword(2) | Transportation mode recognition |
| Keyword(3) | Communication quality |
| Keyword(4) | Deep Learning |
| Keyword(5) | Quality of Service |
| Keyword(6) | Edge cloud |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Wataru Kawakami |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Kenji Kanai |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Wei Bo |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Jiro Katto |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-11-30 10:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CS |
| Paper # | CS2018-80, IE2018-59 |
| Volume (vol) | vol.118 |
| Number (no) | no.328(CS), no.329(IE) |
| Page | pp.71-76 |
| #Pages | 6 |
| Date of Issue | 2018-11-22 (CS, IE) |
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