| Presentation | 2019-01-17 Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki, Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It isexpected that the amount of data traffic in mobile network will increase exponentially, which causes serious trans-mission delays when traffic load is heavy. In real-time prediction of spatiotemporal information, if a part of dataused for prediction do not arrive within the deadline, the prediction accuracy degrades because the prediction is donewithout using those missing data. The utility-based scheduling technique has been proposed as a way of prioritizingsuch delay-sensitive data. However, no researchers have worked on utility-based scheduling for real-time prediction ofspatiotemporal information. Therefore, in this report, we propose a scheme that enables to model the utility functionreal-time prediction of spatiotemporal information. Then, we demonstrate the model of the utility function obtainedusing real spatiotemporal datasets. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | utility function / scheduling / spatiotemporal information / machine learning / feature selection |
| Paper # | MoNA2018-66 |
| Date of Issue | 2019-01-09 (MoNA) |
| Conference Information | |
| Committee | MoNA |
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| Conference Date | 2019/1/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | T. B. D. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryoichi Shinkuma(Kyoto Univ.) |
| Vice Chair | Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.) |
| Secretary | Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC) |
| Assistant | Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mobile Network and Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information |
| Sub Title (in English) | |
| Keyword(1) | utility function |
| Keyword(2) | scheduling |
| Keyword(3) | spatiotemporal information |
| Keyword(4) | machine learning |
| Keyword(5) | feature selection |
| 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) |
| Date | 2019-01-17 |
| Paper # | MoNA2018-66 |
| Volume (vol) | vol.118 |
| Number (no) | MoNA-389 |
| Page | pp.pp.51-55(MoNA), |
| #Pages | 5 |
| Date of Issue | 2019-01-09 (MoNA) |