{"created":"2023-05-15T10:01:09.754911+00:00","id":5680,"links":{},"metadata":{"_buckets":{"deposit":"7ca26f28-e1ac-49cc-bf02-dac775106ca1"},"_deposit":{"created_by":5,"id":"5680","owner":"5","owners":[5],"pid":{"revision_id":0,"type":"depid","value":"5680"},"status":"published"},"_oai":{"id":"oai:miyazaki-u.repo.nii.ac.jp:00005680","sets":["73","73:36","73:36:330","73:36:330:328"]},"author_link":["30582","30583","7103","31575"],"control_number":"5680","item_10002_biblio_info_7":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"199","bibliographicPageStart":"193","bibliographicVolumeNumber":"47","bibliographic_titles":[{"bibliographic_title":"宮崎大学工学部紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Memoirs of Faculty of Engineering, University of Miyazaki","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We perform a scalable approach for automatically classifying shape, color and size of the images using a multilayer neural network (deep learning) in order to demonstrate the interesting application that aims for kindergarten. Our process makes use of the state-of-the-art methodology of extracting deep features using convolutional neural network. The main idea of our system is a deep convolutional neural network that trained to classify different shapes and colors of the grayscale images. To implement our approach, we used BabyAIImageandQuestion Dataset which consists of different shape, color, size and location sub datasets. Among these sub datasets, we mainly applied shape, color and size datasets to present our proposed method. We have achieved a good performance accuracy (average 95%) in classification of shape color and size with fast processing time. The objective of our approach is to develop the visual ability of children which includes visual acuity, tracking, color perception, depth perception, and object recognition by effectively applying the deep learning algorithm. We also hope that our proposed method will be effectively useful for real world application.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宮崎大学工学部","subitem_publisher_language":"ja"},{"subitem_publisher":"Faculty of Engineering, University of Miyazaki","subitem_publisher_language":"en"}]},"item_10002_source_id_11":{"attribute_name":"item_10002_source_id_11","attribute_value_mlt":[{"subitem_source_identifier":"AA00732558","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"05404924","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Swe, Zar 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ズイン","creatorNameLang":"ja"},{"creatorName":"ティ ティ ズイン","creatorNameLang":"ja-Kana"},{"creatorName":"Thi  Thi Zin","creatorNameLang":"en"}],"familyNames":[{"familyName":"ティ ティ ズイン","familyNameLang":"ja"},{"familyName":"ティ ティ ズイン","familyNameLang":"ja-Kana"},{"familyName":"Thi  Thi Zin","familyNameLang":"en"}],"givenNames":[{"givenNameLang":"ja"},{"givenNameLang":"ja-Kana"},{"givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"31575","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"30536959","nameIdentifierScheme":"e-Rad_Researcher","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=30536959"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-06-21"}],"displaytype":"detail","filename":"p193-199_vol47.pdf","filesize":[{"value":"923.7 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