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Paper Abstract and Keywords
Presentation 2022-01-21 16:00
[Short Paper] Definition of a new feature of location activeness using Inverse Discrete Fourier Transform
Shunei Inoue, Yutaka Arakawa, Shigemi Ishida (Kyushu Univ.) SeMI2021-76
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Evidence-Based Policy Making (EBPM) / Location Data / Event Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-76, pp. 92-97, Jan. 2022.
Paper # SeMI2021-76 
Date of Issue 2022-01-13 (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)
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Conference Information
Committee SeMI  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2022-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 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  
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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.)
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Speaker Author-1 
Date Time 2022-01-21 16:00:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2021-76 
Volume (vol) vol.121 
Number (no) no.333 
Page pp.92-97 
#Pages 6 
Date of Issue 2022-01-13 (SeMI) 

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