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| Presentation | 2019-07-10 13:50 [Encouragement Talk] Utility-function modeling scheme for real-time prediction of spatial information Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)  SeMI2019-21 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of bandwidth capacity in mobile networks, data needed for prediction could not be collected within the required time, which results in the deterioration of prediction accuracy.Therefore, this article proposes a scheme that enables modeling the utility function for real-time prediction of spatial information.In the scheme, a machine learning model is created from time-series data, and the utility function is modeled using the feature selection method in the learning model.Considering road traffic prediction as a scenario of special information prediction, we show the utility function modeled by the proposed scheme using real spatial datasets.A numerical study demonstrates that scheduling using the model works to improve prediction accuracy under the limitation of bandwidth capacity. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | utility function / scheduling / spatial information / machine learning / feature selection / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 110, SeMI2019-21, pp. 19-22, July 2019. | |
| Paper # | SeMI2019-21 | |
| Date of Issue | 2019-07-03 (SeMI) | |
| 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 | SeMI2019-21 |
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| Conference Information | |
| Committee | SeMI RCS NS SR RCC |
| Conference Date | 2019-07-10 - 2019-07-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | I-Site Nanba（Osaka） |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Networked Control for the Future Radio of the AI Age, etc |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2019-07-SeMI-RCS-NS-SR-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Utility-function modeling scheme for real-time prediction of spatial information |
| Sub Title (in English) | |
| Keyword(1) | utility function |
| Keyword(2) | scheduling |
| Keyword(3) | spatial information |
| Keyword(4) | machine learning |
| Keyword(5) | feature selection |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keiichiro Sato |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Ryoichi Shinkuma |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | takehiro Sato |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 4th Author's Name | Eiji Oki |
| 4th Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 5th Author's Name | Takahiro Iwai |
| 5th Author's Affiliation | System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation) |
| 6th Author's Name | Takeo Onishi |
| 6th Author's Affiliation | System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation) |
| 7th Author's Name | Takahiro Nobukiyo |
| 7th Author's Affiliation | System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation) |
| 8th Author's Name | Dai Kanetomo |
| 8th Author's Affiliation | System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation) |
| 9th Author's Name | Kozo satoda |
| 9th Author's Affiliation | System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation) |
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| Speaker | Author-1 |
| Date Time | 2019-07-10 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SeMI |
| Paper # | SeMI2019-21 |
| Volume (vol) | vol.119 |
| Number (no) | no.110 |
| Page | pp.19-22 |
| #Pages | 4 |
| Date of Issue | 2019-07-03 (SeMI) |
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