{"created":"2024-06-21T02:59:15.761745+00:00","id":2000826,"links":{},"metadata":{"_buckets":{"deposit":"535d083a-88ea-4ee4-b602-803a94301d28"},"_deposit":{"created_by":14,"id":"2000826","owner":"14","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"2000826"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:02000826","sets":["8:24"]},"author_link":["35482"],"control_number":"2000826","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"151","bibliographicPageStart":"147","bibliographicVolumeNumber":"9","bibliographic_titles":[{"bibliographic_title":"フォトニクスニュース","bibliographic_titleLang":"ja"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Self-referential holography (SRH) is a purely one-beam holographic data recording geometry based on a volume hologram recorded by self-interference of a spatially phase-modulated light. We have proposed to apply the principle of SRH for a holographic data storage without use of a reference beam, which is named self-referential holographic data storage (SR-HDS). Also, recently, we have found that SRH can be used as a deep neural network hardware by combining it with electronic calculations. In this paper, we mainly introduce the self-referential holographic deep neural network (SR-HDNN) and show proof-of-principle simulation results of 4-class image recognition task.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"応用物理学会","subitem_publisher_language":"ja"}]},"item_21_relation_38":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://annex.jsap.or.jp/photonics/backnumber/9-3","subitem_relation_type_select":"URI"}}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","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":[{"creatorNames":[{"creatorName":"高林, 正典","creatorNameLang":"ja"},{"creatorName":"Takabayashi, Masanori","creatorNameLang":"en"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{"nameIdentifier":"35482","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"70636000","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000070636000"}]},{"creatorNames":[{"creatorName":"冨岡, 莉生","creatorNameLang":"ja"},{"creatorName":"Tomioka, Rio","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-06-21"}],"filename":"neuro_60.pdf","filesize":[{"value":"949 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kyutech.repo.nii.ac.jp/record/2000826/files/neuro_60.pdf"},"version_id":"02a5eaa0-7025-4530-9555-aa63f7d3cfa8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Volume holography","subitem_subject_scheme":"Other"},{"subitem_subject":"Self-referential holography","subitem_subject_scheme":"Other"},{"subitem_subject":"Spatial phase modulation","subitem_subject_scheme":"Other"},{"subitem_subject":"Holographic data storage","subitem_subject_scheme":"Other"},{"subitem_subject":"Optical neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"Opto-electronic deep neural network","subitem_subject_scheme":"Other"}]},"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":"自己参照型ホログラフィの原理を用いた光電子深層ニューラルネットワークハードウェア","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自己参照型ホログラフィの原理を用いた光電子深層ニューラルネットワークハードウェア","subitem_title_language":"ja"},{"subitem_title":"Optoelectronic deep neural network hardware using principle of self-referential holography","subitem_title_language":"en"}]},"item_type_id":"21","owner":"14","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-06-21"},"publish_date":"2024-06-21","publish_status":"0","recid":"2000826","relation_version_is_last":true,"title":["自己参照型ホログラフィの原理を用いた光電子深層ニューラルネットワークハードウェア"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-06-21T04:30:35.420520+00:00"}