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人流データを用いた機械学習による社会的混乱検知システムの基礎的検討
https://nied-repo.bosai.go.jp/records/3343
https://nied-repo.bosai.go.jp/records/3343033d2af0-9041-4c2a-9fb1-751bfc337186
| Item type | researchmap(1) | |||||||||||||||||||||
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| 公開日 | 2023-03-30 | |||||||||||||||||||||
| タイトル | ||||||||||||||||||||||
| 言語 | ja | |||||||||||||||||||||
| タイトル | 人流データを用いた機械学習による社会的混乱検知システムの基礎的検討 | |||||||||||||||||||||
| タイトル | ||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| タイトル | A Fundamental Study of Social Confusion Detection System by Machine Learning using Human Flow Data | |||||||||||||||||||||
| 言語 | ||||||||||||||||||||||
| 言語 | jpn | |||||||||||||||||||||
| 著者 |
木南優希
× 木南優希
× 澁谷長史
× 取出新吾
× 遠藤靖典
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| 抄録 | ||||||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||||||
| 内容記述 | Recently, people have become more aware of disaster prevention due to the effects of natural disasters that cause serious damage. The concept of disaster prevention consists of three elements: "pre-disaster prevention" before disaster, "prevention of damage expansion" and "disaster recovery and reconstruction" after disaster. The current disaster prevention system can observe before the disaster; however, cannot observe the damage situation after the disaster. Delaying an initial response to a disaster has a great impact on rescue activities and secondary disasters, so a disaster prevention system after disaster is very important for disaster prevention. In recent years, anomaly detection systems using big data have been attracting attention as disaster prevention systems after disasters. In this thesis, we focused on people flow data among big data, and discussed a social confusion detection system by machine learning using human flow data in normal and abnormal times. |
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| 言語 | en | |||||||||||||||||||||
| 書誌情報 |
ja : 第 36 回ファジィシステムシンポジウム 講演論文集 (FSS2020 オンライン) p. 431-436, 発行日 2020-09-09 |
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| 出版者 | ||||||||||||||||||||||
| 言語 | ja | |||||||||||||||||||||
| 出版者 | 日本知能情報ファジィ学会 | |||||||||||||||||||||
| DOI | ||||||||||||||||||||||
| 関連識別子 | 10.14864/fss.36.0_431 | |||||||||||||||||||||
