{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00091486","sets":["6164:6805:6807:7144"]},"path":["7144"],"owner":"10","recid":"91486","title":["人間の動作に対するアノマリ型異常検知システムの実装"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-01-13"},"_buckets":{"deposit":"bc689a51-c5b6-4950-90dd-bc4f11b89473"},"_deposit":{"id":"91486","pid":{"type":"depid","value":"91486","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"人間の動作に対するアノマリ型異常検知システムの実装","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人間の動作に対するアノマリ型異常検知システムの実装"},{"subitem_title":"Implementation of Anomaly Detection System for Human Behavior","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2009-01-13","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技術科学大学 情報工学系"},{"subitem_text_value":"豊橋技術科学大学 情報工学系"},{"subitem_text_value":"豊橋技術科学大学 情報工学系"},{"subitem_text_value":"豊橋技術科学大学 情報メディア基盤センター"},{"subitem_text_value":"豊橋技術科学大学 情報工学系"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Information and Computer Sciences, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Information and Computer Sciences, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Information and Computer Sciences, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Information and Media Center, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Information and Computer Sciences, Toyohashi University of Technology","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/91486/files/IPSJ-WPRO2009022.pdf"},"date":[{"dateType":"Available","dateValue":"2011-01-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-WPRO2009022.pdf","filesize":[{"value":"331.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0314d752-bbc5-44c3-9119-b302a9c72b5d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2009 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤原, 大輔"},{"creatorName":"菊地, 誠"},{"creatorName":"阿部, 洋丈"},{"creatorName":"岡部, 正幸"},{"creatorName":"梅村, 恭司"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Daisuke, Fujihara","creatorNameLang":"en"},{"creatorName":"Makoto, Kikuchi","creatorNameLang":"en"},{"creatorName":"Hirotake, Abe","creatorNameLang":"en"},{"creatorName":"Masayuki, Okabe","creatorNameLang":"en"},{"creatorName":"Kyoji, Umemura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"センサを用いたセキュリティシステムは一般的に、すべての動作を検知するモードと、その動作が不審かどうかを人間が判別するモードがあり、モードの切り替えが生じる。システムが不審者の動作と正常な動作とを判別できれば、モードの切り替えを必要としない自動検知が実現できる。本研究では上記のような自動検知の実現の準備段階として、実際に焦電型センサ群を構築し、あらかじめ与える正常な動作のデータからその動作発生時のセンサ状態などを学習した。そして、正常動作の確率的モデルを定義し出現確立を推定することで、正常動作とそれ以外の動作とを判別するアノマリ型異常検知システムを実装した。","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Generically, a security system has two modes. One mode is to detect all behavior and the other mode is to discriminate that the behavior is anomaly by humans. Therefore, these modes must be toggled\nif required. If computer is able to discriminate normal behavior from anomaly automatically, we can construct automatic detection system without toggling the modes. Our study is a preliminary stage of\nan automatic detection that is mode free. We construct pyroelectric sensor set and provide our detection system with sensor data of normal behaviors Then our system discriminate normal behavior from\nothers with estimations of probability of occurrence based on probabilistic models our system defined.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"184","bibliographic_titles":[{"bibliographic_title":"第50回プログラミング･シンポジウム予稿集"}],"bibliographicPageStart":"181","bibliographicIssueDates":{"bibliographicIssueDate":"2009-01-13","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2009"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"id":91486,"updated":"2025-01-21T15:28:48.184557+00:00","links":{},"created":"2025-01-18T23:40:44.253753+00:00"}