{"created":"2023-06-20T15:12:05.839391+00:00","id":8798,"links":{},"metadata":{"_buckets":{"deposit":"8b1439f0-8fb8-4161-8d23-d0fe3bb4985e"},"_deposit":{"created_by":3,"id":"8798","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"8798"},"status":"published"},"_oai":{"id":"oai:ynu.repo.nii.ac.jp:00008798","sets":["495:496"]},"author_link":["33520","19078","33519"],"item_2_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"1701004","bibliographicPageStart":"1701004","bibliographicVolumeNumber":"23","bibliographic_titles":[{"bibliographic_title":"IEEE Transactions on Applied Superconductivity"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A superconductive perceptron, an artificial neural network, has been investigated using single flux quantum (SFQ) stochastic logic. A superconductive pseudo sigmoid function generator that corresponds to an artificial neuron device for the perceptron has been proposed and implemented using an SFQ current comparator and a frequency-to-current converter, which generates current that is proportional to the average input SFQ frequency. A frequency-to-current converter has been implemented using a dc-SQUID voltage driver coupled with a Josephson transmission line. We implemented and tested the pseudo sigmoid function generator using the SRL 2.5 kA/cm2 Nb process. The measured input-output characteristic agreed with the ideal sigmoid function with an average error of 0.063%.","subitem_description_type":"Abstract"}]},"item_2_publisher_35":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electrical and Electronics Engineers "}]},"item_2_relation_13":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.1109/TASC.2012.2228531","subitem_relation_type_select":"DOI"}}]},"item_2_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"15582515","subitem_source_identifier_type":"ISSN"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"},{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"},{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"}]},"item_2_version_type_18":{"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":[{"creatorNames":[{"creatorName":"Yamanashi, Yuki"}],"nameIdentifiers":[{"nameIdentifier":"19078","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"70467059","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=70467059"}]},{"creatorNames":[{"creatorName":"Umeda, Kazumasa"}],"nameIdentifiers":[{"nameIdentifier":"33519","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yoshikawa, Nobuyuki"}],"nameIdentifiers":[{"nameIdentifier":"33520","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-02-01"}],"displaytype":"detail","filename":"Yamanashi2013IEEE.pdf","filesize":[{"value":"584.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Yamanashi2013IEEE.pdf","url":"https://ynu.repo.nii.ac.jp/record/8798/files/Yamanashi2013IEEE.pdf"},"version_id":"a55e6c55-a845-4e6f-bd5b-f53e425c56bd"}]},"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":"Pseudo Sigmoid Function Generator for a Superconductive Neural Network","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Pseudo Sigmoid Function Generator for a Superconductive Neural Network"}]},"item_type_id":"2","owner":"3","path":["496"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-01"},"publish_date":"2018-02-01","publish_status":"0","recid":"8798","relation_version_is_last":true,"title":["Pseudo Sigmoid Function Generator for a Superconductive Neural Network"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-06-20T20:03:25.638576+00:00"}