| Presentation | 2022-01-21 [Short Paper] Definition of a new feature of location activeness using Inverse Discrete Fourier Transform Shunei Inoue, Yutaka Arakawa, Shigemi Ishida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is important to promote Evidence-Based Policy Making (EBPM) to conduct effective tourism policies with unique tourism resources. We are developing an EBPM platform that visualizes people flows relating to events and tourism policies. Our EBPM platform has an automatic event detector that detects ``where'' and ``how large'' an event is held. When an event is detected, the platform notifies local government officers and encourages them to enter the event information to link the event and corresponding people flow. Although, we can use anomaly detection methods to detect events from people flow data, these methods take no considerations on periodic changes in people flow. In this paper, a new feature, i.e., location activeness, is defined as time-series people flow data, excluding periodic changes. We also present an event detection method base on peak detection on the location activeness. The evaluation conducted with location data of Kyushu University Ito Campus and surrounding areas demonstrated that more than 75% of detected events were actual events, as we could find out. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Evidence-Based Policy Making (EBPM) / Location Data / Event Detection |
| Paper # | SeMI2021-76 |
| Date of Issue | 2022-01-13 (SeMI) |
| Conference Information | |
| Committee | SeMI |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koji Yamamoto(Kyoto Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Yasunori Owada(NICT) |
| Secretary | Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) |
| Assistant | Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Definition of a new feature of location activeness using Inverse Discrete Fourier Transform |
| Sub Title (in English) | |
| Keyword(1) | Evidence-Based Policy Making (EBPM) |
| Keyword(2) | Location Data |
| Keyword(3) | Event Detection |
| 1st Author's Name | Shunei Inoue |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Yutaka Arakawa |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Shigemi Ishida |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2022-01-21 |
| Paper # | SeMI2021-76 |
| Volume (vol) | vol.121 |
| Number (no) | SeMI-333 |
| Page | pp.pp.92-97(SeMI), |
| #Pages | 6 |
| Date of Issue | 2022-01-13 (SeMI) |