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| Paper Abstract and Keywords | ||
| Presentation | 2019-08-27 10:10 Analysis of Folksonomical Similarities between Knowledge Tagging and 5G Wireless Nami Kuge, Marat Zhanikeev (Tokyo Univ. of Science)  CQ2019-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Having defined folksonomy as using non-standard keywords, this paper looks for folksonomical similarities between content tags and 5G wireless network topologies. Finding folksonomies in graphs describing tags or 5G wireless networks is a trivial task. However, while in tags folksonomy is an indicator of uniqueness/originality/mistakes in tags, in 5G networks they represent potential boost in throughput or congestion, both in context of the multipath aggregation feature of 5G. This paper analyses a dataset for tags and a synthetic trace for 5G, with the shared goal of finding and analyzing folksonomies. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | folksonomy / 5G wireless / tag graph / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 183, CQ2019-59, pp. 13-18, Aug. 2019. | |
| Paper # | CQ2019-59 | |
| Date of Issue | 2019-08-20 (CQ) | |
| 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 | CQ2019-59 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2019-08-27 - 2019-08-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hakodate arena |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning in Wireless Communication, AI, 6G/Beyond 5G, LPWA, Drone Network, Space Comminication, Underwater Communication, Communication, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, IoT/M2M, Wireless, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2019-08-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Folksonomical Similarities between Knowledge Tagging and 5G Wireless |
| Sub Title (in English) | |
| Keyword(1) | folksonomy |
| Keyword(2) | 5G wireless |
| Keyword(3) | tag graph |
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| 1st Author's Name | Nami Kuge |
| 1st Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name | Marat Zhanikeev |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2019-08-27 10:10:00 |
| Presentation Time | 20 minutes |
| Registration for | CQ |
| Paper # | CQ2019-59 |
| Volume (vol) | vol.119 |
| Number (no) | no.183 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2019-08-20 (CQ) |
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