{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235987","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235987","title":["AugMaxによる打音検査の汎化性能の向上"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"76819261-7d48-4fe2-8ced-48ea2cb98a69"},"_deposit":{"id":"235987","pid":{"type":"depid","value":"235987","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"AugMaxによる打音検査の汎化性能の向上","author_link":["644921","644918","644922","644923","644920","644919"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"AugMaxによる打音検査の汎化性能の向上"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東海大"},{"subitem_text_value":"東海大"},{"subitem_text_value":"東海大"},{"subitem_text_value":"リテックエンジニアリング株式会社"},{"subitem_text_value":"法大"},{"subitem_text_value":"J-POWER設計コンサルタント"}]},"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/235987/files/IPSJ-Z86-4Q-01.pdf","label":"IPSJ-Z86-4Q-01.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4Q-01.pdf","filesize":[{"value":"372.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"b8dca900-8eb2-49c2-91d2-ed9e031d988f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"熊田, 百花"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鎮野, 智宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尾関, 智子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新保, 弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"溝渕, 利明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野嶋, 潤一郎"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，コンクリート構造物の劣化と生産年齢人口の減少が問題視されている．そのため，今後大きな経済的負担と従事者不足が生じることが考えられる．コンクリートのひび割れを検出する方法に打音検査が広く用いられているが，技術者の熟練度により精度が安定しない．この課題に対し，打音をスカログラム画像に変換し機械学習を適用することで熟練技術者と同程度の判別精度を得ることができた．しかし，ある地域の打音データを学習したモデルを用いて他地域の打音データを判別した際，判別精度が上がらず汎化性能の獲得はできなかった．そこで本研究ではデータ拡張手法としてAugMaxを使用し，CNNにResNet18モデルを用いた際に汎化能力が向上するか検討する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"288","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"287","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:37:47.701000+00:00","updated":"2025-01-19T09:26:22.903602+00:00","id":235987}