{"created":"2023-06-19T11:42:16.771289+00:00","id":11425,"links":{},"metadata":{"_buckets":{"deposit":"3347b57c-34de-4b8e-84e5-c3f34408fb9b"},"_deposit":{"created_by":16,"id":"11425","owners":[16],"pid":{"revision_id":0,"type":"depid","value":"11425"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:00011425","sets":["420:686:700:704"]},"author_link":[],"item_7_alternative_title_19":{"attribute_name":"その他の言語のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"特徴抽出とパターン認識によるプラント設備のスマート状態診断法に関する研究","subitem_alternative_title_language":"ja"}]},"item_7_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-03-31","bibliographicIssueDateType":"Issued"}}]},"item_7_date_granted_59":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2017-03-31"}]},"item_7_degree_grantor_57":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"三重大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"14101","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_7_degree_name_56":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士(学術)"}]},"item_7_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_7_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"内容の要旨・審査結果の要旨 / 共生環境学専攻","subitem_description_type":"Other"}]},"item_7_dissertation_number_60":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲学術第1849号"}]},"item_7_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"三重大学"}]},"item_7_text_31":{"attribute_name":"出版者(ヨミ)","attribute_value_mlt":[{"subitem_text_value":"ミエダイガク"}]},"item_7_text_65":{"attribute_name":"資源タイプ(三重大)","attribute_value_mlt":[{"subitem_text_value":"Doctoral Dissertation / 博士論文"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宋, 瀏陽","creatorNameLang":"ja"},{"creatorName":"ソウ, リュウヨウ","creatorNameLang":"ja-Kana"},{"creatorName":"Song, Liu Yang","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-10"}],"displaytype":"detail","filename":"2016DB005-1.pdf","filesize":[{"value":"91.9 kB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"label":"内容の要旨","url":"https://mie-u.repo.nii.ac.jp/record/11425/files/2016DB005-1.pdf"},"version_id":"20686cfb-e59a-442c-bfa0-2433d5443b58"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-10"}],"displaytype":"detail","filename":"2016DB005-2.pdf","filesize":[{"value":"122.3 kB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"label":"審査結果の要旨","url":"https://mie-u.repo.nii.ac.jp/record/11425/files/2016DB005-2.pdf"},"version_id":"45bd1a18-dd2b-43a3-bfd3-85194fed5d42"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Study on Smart Condition Diagnosis Based on Feature Extraction and Pattern Recognition for Plant Machinery","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Study on Smart Condition Diagnosis Based on Feature Extraction and Pattern Recognition for Plant Machinery","subitem_title_language":"en"}]},"item_type_id":"7","owner":"16","path":["704"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-10-10"},"publish_date":"2017-10-10","publish_status":"0","recid":"11425","relation_version_is_last":true,"title":["Study on Smart Condition Diagnosis Based on Feature Extraction and Pattern Recognition for Plant Machinery"],"weko_creator_id":"16","weko_shared_id":-1},"updated":"2023-11-28T04:50:24.819651+00:00"}