{"created":"2023-05-15T12:00:18.211303+00:00","id":7057,"links":{},"metadata":{"_buckets":{"deposit":"7ffa2708-ef4e-458a-806c-341bf7951462"},"_deposit":{"created_by":3,"id":"7057","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7057"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007057","sets":["8:24"]},"author_link":["6059","30512","30514"],"item_21_alternative_title_18":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Training autoencoder using three different reversed color models for anomaly detection"}]},"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-05-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"40","bibliographicPageStart":"35","bibliographicVolumeNumber":"7","bibliographic_titles":[{"bibliographic_title":"Journal of Robotics, Networking and Artificial Life"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Autoencoders (AEs) have been applied in several applications such as anomaly detectors and object recognition systems. However, although the recent neural networks have relatively high accuracy but sometimes false detection may occur. This paper introduces AE as an anomaly detector. The proposed AE is trained using both normal and anomalous data based on convolutional neural network with three different color models Hue Saturation Value (HSV), Red Green Blue (RGB), and our own model (TUV). As a result, the trained AE reconstruct the normal images without change, whereas the anomalous image would be reconstructed reversely. The training and testing of the AE in case of RGB, HSV, and TUV color models were demonstrated and Cifar-10 dataset had been used for the evaluation process. It can be noticed that HSV color model has been more effective and achievable as an anomaly detector rather than other color models based on Z- and F-test analyses.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"30514","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Al aama,  O."}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{"familyName":"Tamukoh","familyNameLang":"en"},{"familyName":"田向","familyNameLang":"ja"},{"familyName":"タムコウ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Hakaru","givenNameLang":"en"},{"givenName":"権","givenNameLang":"ja"},{"givenName":"ハカル","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"6059","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"90432955","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000090432955"},{"nameIdentifier":"7801453348","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=7801453348"},{"nameIdentifier":"0000-0002-3669-1371","nameIdentifierScheme":"ORCiD","nameIdentifierURI":"https://orcid.org/0000-0002-3669-1371"},{"nameIdentifier":"100000641","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000641_ja.html"}],"names":[{"name":"Tamukoh, Hakaru","nameLang":"en"},{"name":"田向, 権","nameLang":"ja"},{"name":"タムコウ, ハカル","nameLang":"ja-Kana"}]}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"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":"Atlantis Press"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.2991/jrnal.k.200512.008","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2020 The Authors. Published by Atlantis Press SARL.This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/)."}]},"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":"2405-9021","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"2352-6386","subitem_source_identifier_type":"ISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10360422"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8844"}]},"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_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Al aama,  Obada"}],"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_date","date":[{"dateType":"Available","dateValue":"2021-05-20"}],"displaytype":"detail","filename":"jrnal.k.200512.008.pdf","filesize":[{"value":"1.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"jrnal.k.200512.008.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7057/files/jrnal.k.200512.008.pdf"},"version_id":"ef612c40-d57c-4c80-ba0c-d46ed9eed728"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Convolutional neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"autoencoder","subitem_subject_scheme":"Other"},{"subitem_subject":"anomaly detection","subitem_subject_scheme":"Other"},{"subitem_subject":"color models","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":"Training Autoencoder using Three Different Reversed Color Models for Anomaly Detection","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Training Autoencoder using Three Different Reversed Color Models for Anomaly Detection"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-05-20"},"publish_date":"2021-05-20","publish_status":"0","recid":"7057","relation_version_is_last":true,"title":["Training Autoencoder using Three Different Reversed Color Models for Anomaly Detection"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T10:10:15.093119+00:00"}