{"created":"2025-01-19T01:36:20.742912+00:00","updated":"2025-01-19T09:46:17.695479+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234555","sets":["1164:1579:11464:11617"]},"path":["11617"],"owner":"44499","recid":"234555","title":["A preliminary evaluation of CNNs’ performance of meteor detection using training data by generative AI towards FPGA implementation"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-03"},"_buckets":{"deposit":"725671d6-379f-40f1-9e40-827aad7c2efd"},"_deposit":{"id":"234555","pid":{"type":"depid","value":"234555","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"A preliminary evaluation of CNNs’ performance of meteor detection using training data by generative AI towards FPGA implementation","author_link":["639295","639293","639292","639294"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A preliminary evaluation of CNNs’ performance of meteor detection using training data by generative AI towards FPGA implementation"},{"subitem_title":"A preliminary evaluation of CNNs’ performance of meteor detection using training data by generative AI towards FPGA implementation","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"AI・機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-06-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba"},{"subitem_text_value":"University of Tsukuba"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"University of Tsukuba","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/234555/files/IPSJ-ARC24257011.pdf","label":"IPSJ-ARC24257011.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC24257011.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"0282f34b-8bf4-46ec-af1b-b17e1bdb333b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuping, Zheng"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Kanazawa"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuping, Zheng","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Kanazawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Convolutional Neural Network (CNN) has been widely used for object detection in recent years and has achieved many amazing results. In the paper, we investigate the effectiveness of Convolutional Neural Networks (CNNs) for the task of meteor detection, specifically examining the impact of training these networks with datasets augmented by generative artificial intelligence (AI). Due to the limitations posed by the scarce availability of diverse training data, we use generative artificial intelligence techniques to generate synthetic meteor images as our training dataset. In the research, we aim to compare different CNNs’ effectiveness for meteor detection and enhance detection accuracy and to explore the feasibility of deploying these models on Field-Programmable Gate Arrays (FPGAs) for real-time applications.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Convolutional Neural Network (CNN) has been widely used for object detection in recent years and has achieved many amazing results. In the paper, we investigate the effectiveness of Convolutional Neural Networks (CNNs) for the task of meteor detection, specifically examining the impact of training these networks with datasets augmented by generative artificial intelligence (AI). Due to the limitations posed by the scarce availability of diverse training data, we use generative artificial intelligence techniques to generate synthetic meteor images as our training dataset. In the research, we aim to compare different CNNs’ effectiveness for meteor detection and enhance detection accuracy and to explore the feasibility of deploying these models on Field-Programmable Gate Arrays (FPGAs) for real-time applications.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ（ARC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2024-ARC-257"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234555,"links":{}}