{"created":"2023-07-27T06:57:49.436077+00:00","id":55253,"links":{},"metadata":{"_buckets":{"deposit":"9985145f-024f-4250-acaa-ac1218dc423b"},"_deposit":{"created_by":18,"id":"55253","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"55253"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00055253","sets":["934:935:936"]},"author_link":["96997","96998","96914","87058","96996","96913","96991","2168","96912","96911"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"136","bibliographicPageStart":"130","bibliographicVolumeNumber":"64A","bibliographic_titles":[{"bibliographic_title":"構造工学論文集 A"},{"bibliographic_title":"Journal of structural engineering. A","bibliographic_titleLang":"en"}]}]},"item_4_creator_33":{"attribute_name":"著者別表示","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Machiguchi, Atsushi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kita, Toshiharu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tada, Norio"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takei, Hiromasa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Chikata, Yasuo"}],"nameIdentifiers":[{},{}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In recent years, the problem of aging of infrastructure and countermeasures against lack of resources and technical shortage due to the declining birthrate and aging population are becoming a social issue. In maintaining and managing structures, it takes a great deal of labor and cost because there are huge numbers of stocks and high quality technicians are required to judge the deterioration factor at the time of inspection. This is a base study that aims to develop a system which mechanically judges the deterioration factor from photographs of deteriorated concrete structure with Deep learning which has produced many results in the field of image recognition and image authentication in recent years.","subitem_description_type":"Abstract"}]},"item_4_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学理工研究域地球社会基盤学系","subitem_description_type":"Other"}]},"item_4_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24517/00061528","subitem_identifier_reg_type":"JaLC"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本建築学会 Architectural Institute of Japan"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.11532/structcivil.64A.129","subitem_relation_type_select":"DOI"}}]},"item_4_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.aij.or.jp/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.aij.or.jp/","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.jsce.or.jp/library/open/proc/maglist2/00127/index.htm"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jsce.or.jp/library/open/proc/maglist2/00127/index.htm","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.jstage.jst.go.jp/browse/structcivil/_pubinfo/-char/ja"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jstage.jst.go.jp/browse/structcivil/_pubinfo/-char/ja","subitem_relation_type_select":"URI"}}]},"item_4_rights_23":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 日本建築学会  Architectural Institute of Japan"}]},"item_4_source_id_11":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AN10122872","subitem_source_identifier_type":"NCID"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0910-8009","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"1881-820X","subitem_source_identifier_type":"ISSN"}]},"item_4_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"町口, 敦志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"喜多, 敏春"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"多田, 徳夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武井, 宏将"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近田, 康夫"}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-04-01"}],"displaytype":"detail","filename":"TE-PR-CHIKATA-Y-64A_129.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"TE-PR-CHIKATA-Y-64A_129.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/55253/files/TE-PR-CHIKATA-Y-64A_129.pdf"},"version_id":"96394411-e95a-42c9-88e0-a1fdf51167ba"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"ディープラーニングによるコンクリート構造物の劣化要因判定支援システムの開発に関する基礎的研究","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディープラーニングによるコンクリート構造物の劣化要因判定支援システムの開発に関する基礎的研究"},{"subitem_title":"Experimental study on development of the system which supports that an engineer judges a factor of the deterioration for the concrete structure by Deep learning","subitem_title_language":"en"}]},"item_type_id":"4","owner":"18","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-04-01"},"publish_date":"2021-04-01","publish_status":"0","recid":"55253","relation_version_is_last":true,"title":["ディープラーニングによるコンクリート構造物の劣化要因判定支援システムの開発に関する基礎的研究"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2023-07-27T15:23:19.649450+00:00"}