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A Message Reduction Scheme Based on Geographical Information in Initiative-evacuation Induction Using Social Graphs
https://ipsj.ixsq.nii.ac.jp/records/240476
https://ipsj.ixsq.nii.ac.jp/records/2404767cacfdea-148d-45b8-aa27-5b199a96e812
| 名前 / ファイル | ライセンス | アクション |
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2026年10月31日からダウンロード可能です。
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Copyright (c) 2024 by the Information Processing Society of Japan
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| 非会員:¥0, IPSJ:学会員:¥0, CDS:会員:¥0, DLIB:会員:¥0 | ||
| Item type | Trans(1) | |||||||||
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| 公開日 | 2024-10-31 | |||||||||
| タイトル | ||||||||||
| タイトル | A Message Reduction Scheme Based on Geographical Information in Initiative-evacuation Induction Using Social Graphs | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | A Message Reduction Scheme Based on Geographical Information in Initiative-evacuation Induction Using Social Graphs | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [Recommended Paper] disaster prevention, evacuation guidance, initiative evacuee, social networking, Multi-Agent Simulation (MAS), social graph | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| Graduate School of Engineering, University of Fukui | ||||||||||
| 著者所属 | ||||||||||
| Graduate School of Engineering, University of Fukui | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Engineering, University of Fukui | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Engineering, University of Fukui | ||||||||||
| 著者名 |
Sora, Okamoto
× Sora, Okamoto
× Tomoya, Kawakami
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| 著者名(英) |
Sora, Okamoto
× Sora, Okamoto
× Tomoya, Kawakami
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In Japan, tsunamis and landslides are frequently caused as secondary disasters after earthquakes, and early evacuation is an important issue to reduce the damage. In this study, the authors propose a method to reduce the number of evacuation messages based on geographical information while maintaining the time to complete evacuation using social graphs. We define evacuation target areas and evacuate only designated targets within these areas. The proposed method relays evacuation status only when there is a person (node) within the evacuation area. This method reduces the number of messages while maintaining the evacuation completion time. The evaluation results confirmed that the proposed method can reduce the number of messages during evacuation while maintaining the time required to complete the evacuation, compared to the case where all nodes outside the evacuation target area relay the evacuation status and the case where no relay is performed. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.32(2024) (online) ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In Japan, tsunamis and landslides are frequently caused as secondary disasters after earthquakes, and early evacuation is an important issue to reduce the damage. In this study, the authors propose a method to reduce the number of evacuation messages based on geographical information while maintaining the time to complete evacuation using social graphs. We define evacuation target areas and evacuate only designated targets within these areas. The proposed method relays evacuation status only when there is a person (node) within the evacuation area. This method reduces the number of messages while maintaining the evacuation completion time. The evaluation results confirmed that the proposed method can reduce the number of messages during evacuation while maintaining the time required to complete the evacuation, compared to the case where all nodes outside the evacuation target area relay the evacuation status and the case where no relay is performed. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.32(2024) (online) ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA12628043 | |||||||||
| 書誌情報 |
情報処理学会論文誌コンシューマ・デバイス&システム(CDS) 巻 14, 号 3, 発行日 2024-10-31 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 2186-5728 | |||||||||
| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||