{"created":"2024-12-10T02:52:04.733176+00:00","id":2000151,"links":{},"metadata":{"_buckets":{"deposit":"397c0a19-b29c-43dd-8609-989db8ac6910"},"_deposit":{"created_by":6,"id":"2000151","owner":"6","owners":[6],"pid":{"revision_id":0,"type":"depid","value":"2000151"},"status":"published"},"_oai":{"id":"oai:fit.repo.nii.ac.jp:02000151","sets":["256:305:1733797969376"]},"author_link":[],"control_number":"2000151","item_3_alternative_title_23":{"attribute_name":"タイトル（ヨミ）","attribute_value_mlt":[{"subitem_alternative_title":"キカイ ガクシュウ オ モチイタ アジ ト ニオイ ノ ユウゴウ センサシステム ニヨル ショクヒン ノ フウミ ニンシキ コウジョウ ニ カンスル ケンキュウ ― ショウユ ノ フウミ ニンシキ ニ ムケタ ココロミ ー","subitem_alternative_title_language":"ja"}]},"item_3_biblio_info_6":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicNumberOfPages":"4","bibliographicPageEnd":"4","bibliographicPageStart":"1","bibliographic_titles":[{"bibliographic_title":"福岡工業大学総合研究機構研究所所報","bibliographic_titleLang":"ja"}]}]},"item_3_description_17":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_3_description_47":{"attribute_name":"item_3_description_47","attribute_value_mlt":[{"subitem_description":"論文(Atticle)","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_3_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"A system that evaluates and discriminates food flavors by integrating machine learning with semiconductor gas sensors and taste sensors is proposed in this study. For the implementation of machine learning, the supervised learning method k-nearest neighbors (k-NN) is adopted. Before applying k-NN, various dimensionality reduction algorithms are used to enhance the efficiency and accuracy of data processing. As a result of evaluating 18 kinds of soy sauce, integrating odor and taste data led to an improvement in the accuracy of correctly distinguishing \"sweet,\" \"rich,\" and \"light\" flavors. These results suggest that the combined semiconductor gas sensors and taste sensors, by leveraging the unique characteristics of both taste and odor, is beneficial for strengthening food flavor recognition.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_3_full_name_2":{"attribute_name":"著者(ヨミ)","attribute_value_mlt":[{"familyNames":[{"familyName":"ウ","familyNameLang":"ja"}],"givenNames":[{"givenName":"ショウ","givenNameLang":"ja"}],"names":[{"name":"ウ ショウ","nameLang":"ja"}]},{"familyNames":[{"familyName":"ノダ","familyNameLang":"ja"}],"givenNames":[{"givenName":"タカト","givenNameLang":"ja"}],"names":[{"name":"ノダ タカト","nameLang":"ja"}]}]},"item_3_full_name_3":{"attribute_name":"別言語の著者","attribute_value_mlt":[{"familyNames":[{"familyName":"WU","familyNameLang":"en"}],"givenNames":[{"givenName":"Xiao","givenNameLang":"en"}],"names":[{"name":"WU Xiao","nameLang":"en"}]},{"familyNames":[{"familyName":"NODA","familyNameLang":"en"}],"givenNames":[{"givenName":"Takato","givenNameLang":"en"}],"names":[{"name":"NODA Takato","nameLang":"en"}]}]},"item_3_publisher_37":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"福岡工業大学総合研究機構","subitem_publisher_language":"ja"}]},"item_3_source_id_7":{"attribute_name":"item_3_source_id_7","attribute_value_mlt":[{"subitem_source_identifier":"24345725","subitem_source_identifier_type":"PISSN"}]},"item_3_text_38":{"attribute_name":"出版者（ヨミ）","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"フクオカ コウギョウ ダイガク ソウゴウ ケンキュウ キコウ"}]},"item_3_text_48":{"attribute_name":"item_3_text_48","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"紀要論文"}]},"item_3_text_49":{"attribute_name":"item_3_text_49","attribute_value_mlt":[{"subitem_text_value":"Departmental Bulletin Paper"}]},"item_3_text_50":{"attribute_name":"item_3_text_50","attribute_value_mlt":[{"subitem_text_value":"text"}]},"item_3_text_51":{"attribute_name":"item_3_text_51","attribute_value_mlt":[{"subitem_text_value":"02"}]},"item_3_text_79":{"attribute_name":"コメント","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"エレクトロニクス研究所"}]},"item_3_version_type_19":{"attribute_name":"出版タイプ","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":"巫 霄","creatorNameLang":"ja"}],"familyNames":[{"familyName":"巫","familyNameLang":"ja"}],"givenNames":[{"givenName":"霄","givenNameLang":"ja"}]},{"creatorNames":[{"creatorName":"野田 飛翔","creatorNameLang":"ja"}],"familyNames":[{"familyName":"野田","familyNameLang":"ja"}],"givenNames":[{"givenName":"飛翔","givenNameLang":"ja"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2025-10-06"}],"filename":"福工大-総合研究機構-所報7-1.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://fit.repo.nii.ac.jp/record/2000151/files/福工大-総合研究機構-所報7-1.pdf"},"version_id":"55cc6382-fdc6-44b1-8530-49815a8ea6da"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Semiconductor gas sensor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Taste sensor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Flavor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"機械学習を用いた味と匂いの融合センサシステムによる食品の風味認識向上に関する研究 ー醤油の風味認識に向けた試みー","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた味と匂いの融合センサシステムによる食品の風味認識向上に関する研究 ー醤油の風味認識に向けた試みー","subitem_title_language":"ja"}]},"item_type_id":"3","owner":"6","path":["1733797969376"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-12-10"},"publish_date":"2024-12-10","publish_status":"0","recid":"2000151","relation_version_is_last":true,"title":["機械学習を用いた味と匂いの融合センサシステムによる食品の風味認識向上に関する研究 ー醤油の風味認識に向けた試みー"],"weko_creator_id":"6","weko_shared_id":-1},"updated":"2025-10-06T01:01:57.704187+00:00"}