{"created":"2025-01-19T01:19:20.497835+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00219002","sets":["1164:1579:10818:10973"]},"path":["10973"],"owner":"44499","recid":"219002","title":["無線センサノードを対象としたオンデバイス学習の異常検知への応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-20"},"_buckets":{"deposit":"8601f7b0-19f6-4c49-a10c-c5323f24cded"},"_deposit":{"id":"219002","pid":{"type":"depid","value":"219002","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"無線センサノードを対象としたオンデバイス学習の異常検知への応用","author_link":["570680","570685","570683","570684","570681","570682"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"無線センサノードを対象としたオンデバイス学習の異常検知への応用"},{"subitem_title":"Anomaly Detection using On-Device Learning Algorithm on Wireless Sensor Nodes","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"エッジコンピューティング基盤","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-07-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学大学院 理工学研究科/日本学術振興会特別研究員 DC1"},{"subitem_text_value":"慶應義塾大学大学院 理工学研究科"},{"subitem_text_value":"慶應義塾大学大学院 理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology, Keio University / Research Fellow of Japan Society for the Promotion of Science","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Keio University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/219002/files/IPSJ-ARC22249013.pdf","label":"IPSJ-ARC22249013.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC22249013.pdf","filesize":[{"value":"3.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"e0f3ddf5-a7bb-4695-baf0-887de8704fce","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"塚田, 峰登"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近藤, 正章"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松谷, 宏紀"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mineto, Tsukada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaaki, Kondo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroki, Matsutani","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"実世界のデータは周囲の様々な環境的要因に影響される.センサ周囲のノイズ,センサの位置,キャリブレーションの影響やそれらの時間変化などが含まれる.近年,これらに対処するための技術の一つとして「オンデバイス学習」と呼ばれる手法が提案されており,デバイス上で小さなニューラルネットワークを逐次的に訓練することで,データの変化に追従できる.本稿では,オンデバイス学習を用いた異常検知のための無線センサノードを提案する.実際の回転機器の振動データを用いた異常検知タスクにおいて,推論のみの従来手法と比較して,短い実行時間かつ小さな消費電力量で,ノイズが発生する環境下で高い異常検知精度を保つことを示す.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ(ARC)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"13","bibliographicVolumeNumber":"2022-ARC-249"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":219002,"updated":"2025-01-19T14:57:32.329747+00:00","links":{}}