{"created":"2023-08-03T01:15:55.029953+00:00","id":2000027,"links":{},"metadata":{"_buckets":{"deposit":"00e0b444-978b-4a98-91a2-efe54eac3643"},"_deposit":{"created_by":14,"id":"2000027","owner":"14","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"2000027"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:02000027","sets":["8:24"]},"author_link":["22854","30607","30537","6059"],"control_number":"2000027","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-07-21","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study aims to implement a reservoir-based convolutional neural network (CNN) on physical reservoir computing (RC) to develop an efficient image recognition system for edge AI. Therefore, we propose a novel reservoir-based convolution circuit system that uses in-material reservoir computing, a type of physical RC made from a sulfonated polyaniline network. The experimental results demonstrate that the proposed circuit system extracts image features in the same way as the original CNN and that a reservoir-based CNN on the in-material RC achieves an accuracy rate of 81.7% in an image classification task while an echo state network-based CNN achieves 87.7%.","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"2023 IEEE International Symposium on Circuits and Systems, ISCAS 2023, 21-25 May, 2023, Monterey, California, USA","subitem_description_type":"Other"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100001426_ja.html"},{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000641_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/ISCAS46773.2023.10181436","subitem_relation_type_select":"DOI"}}]},"item_21_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-6654-5109-3","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-6654-5110-9","subitem_relation_type_select":"ISBN"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2023 IEEE. Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2158-1525","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"0271-4302","subitem_source_identifier_type":"PISSN"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Tanaka, Yuichiro","creatorNameLang":"en"},{"creatorName":"田中, 悠一朗","creatorNameLang":"ja"},{"creatorName":"タナカ, ユウイチロウ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Usami, Yuki","creatorNameLang":"en"},{"creatorName":"宇佐美, 雄生","creatorNameLang":"ja"},{"creatorName":"ウサミ, ユウキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Tanaka, Hirofumi","creatorNameLang":"en"},{"creatorName":"田中, 啓文","creatorNameLang":"ja"},{"creatorName":"タナカ, ヒロフミ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Tamukoh, Hakaru","creatorNameLang":"en"},{"creatorName":"田向, 権","creatorNameLang":"ja"},{"creatorName":"タムコウ, ハカル","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-08-03"}],"filename":"10406571.pdf","filesize":[{"value":"1.7 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kyutech.repo.nii.ac.jp/record/2000027/files/10406571.pdf"},"version_id":"ceabf8af-eea2-4715-a9de-90a928d4976b"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"reservoir computing","subitem_subject_scheme":"Other"},{"subitem_subject":"reservoir-based convolution","subitem_subject_scheme":"Other"},{"subitem_subject":"in-material reservoir computing","subitem_subject_scheme":"Other"},{"subitem_subject":"edge AI","subitem_subject_scheme":"Other"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"In-material reservoir implementation of reservoir-based convolution","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"In-material reservoir implementation of reservoir-based convolution","subitem_title_language":"en"}]},"item_type_id":"21","owner":"14","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-08-03"},"publish_date":"2023-08-03","publish_status":"0","recid":"2000027","relation_version_is_last":true,"title":["In-material reservoir implementation of reservoir-based convolution"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2023-10-26T01:16:46.183404+00:00"}