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| Presentation | 2023-11-17 14:45 Construction of criminal models using kernel density estimation Kenta Sakakura, Eiji Konaka (Meijo Univ.)  CAS2023-80 MSS2023-50 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Since the 2000s, security systems using autonomous mobile vehicles have begun to be put into practical use, and automation is expected to become increasingly widespread in the security field. In this paper, we focus on patrol security. The two important factors to be considered in patrols are the length of the intervals between visits and the regularity of the patrol routes. A long interval between visits means that the security at that location will be inadequate, and a regular route means that the patrol timing is predictable. From this perspective, it is desirable for security route planning to be random to some extent, but an intruder model is needed to determine what kind of randomness is reasonable for secure patrol. In this study, an intruder is defined as a person who causes damage to a facility or store. The intruder is assumed to be able to observe the timing of patrol at a location for a certain period of time and to make predictions about the next visit interval based on this observation. Under these assumptions, we construct an intruder model using kernel density estimation and propose a method to evaluate patrol routes based on the model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | patrolling vehicle / kernel density estimation / intruder modeling / security game / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 265, MSS2023-50, pp. 107-112, Nov. 2023. | |
| Paper # | MSS2023-50 | |
| Date of Issue | 2023-11-09 (CAS, MSS) | |
| 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 | CAS2023-80 MSS2023-50 |
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| Conference Information | |
| Committee | MSS CAS IPSJ-AL |
| Conference Date | 2023-11-16 - 2023-11-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2023-11-MSS-CAS-AL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Construction of criminal models using kernel density estimation |
| Sub Title (in English) | |
| Keyword(1) | patrolling vehicle |
| Keyword(2) | kernel density estimation |
| Keyword(3) | intruder modeling |
| Keyword(4) | security game |
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| 1st Author's Name | Kenta Sakakura |
| 1st Author's Affiliation | Meijo University (Meijo Univ.) |
| 2nd Author's Name | Eiji Konaka |
| 2nd Author's Affiliation | Meijo University (Meijo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-11-17 14:45:00 |
| Presentation Time | 20 minutes |
| Registration for | MSS |
| Paper # | CAS2023-80, MSS2023-50 |
| Volume (vol) | vol.123 |
| Number (no) | no.264(CAS), no.265(MSS) |
| Page | pp.107-112 |
| #Pages | 6 |
| Date of Issue | 2023-11-09 (CAS, MSS) |
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