{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212173","sets":["1164:2735:10526:10644"]},"path":["10644"],"owner":"44499","recid":"212173","title":["3D-CNNを用いたコンクリートの自動内部推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-07-20"},"_buckets":{"deposit":"093334af-d0c3-4e3f-90f8-4c773f4820e7"},"_deposit":{"id":"212173","pid":{"type":"depid","value":"212173","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"3D-CNNを用いたコンクリートの自動内部推定","author_link":["540694","540687","540695","540692","540690","540684","540689","540693","540691","540686","540685","540688"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3D-CNNを用いたコンクリートの自動内部推定"},{"subitem_title":"Estimating Concrete Interior using a 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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/212173/files/IPSJ-MPS21134014.pdf","label":"IPSJ-MPS21134014.pdf"},"date":[{"dateType":"Available","dateValue":"2023-07-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS21134014.pdf","filesize":[{"value":"569.4 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和貴"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Miho, Chiyonobu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sayaka, Ida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yu, Ishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaharu, Nishikino","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryuta, Kawakami","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuki, Joe","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年,高度経済成長期に建設されたコンクリートインフラの老朽化が重大な問題となっている.現在検査員手作業で行われている検査を自動化し,高速かつ安全な保全活動を可能にする必要がある.そこで,本研究報告では,内部欠陥検出手法の一つであるレーザー打音法と 3D-CNN を組み合わせて空洞含有率の推定手法を提案する.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, the aging of concrete infrastructure constructed during the period of rapid economic growth has become a serious problem. It is necessary to automate the inspections that are currently performed manually by inspectors to enable fast and safe maintenance activities. In this paper, we propose a method for estimating the cavity content by combining the laser remote sensing method, which is one of the methods for detecting internal defects, and 3D-CNN.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"3","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決(MPS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-07-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"14","bibliographicVolumeNumber":"2021-MPS-134"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":212173,"updated":"2025-01-19T17:34:43.514389+00:00","links":{},"created":"2025-01-19T01:13:11.266579+00:00"}