{"id":214712,"updated":"2025-01-19T16:30:13.398607+00:00","links":{},"created":"2025-01-19T01:15:30.848521+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214712","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214712","title":["Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"1d5626a1-b8dc-41f0-89fd-8e62baa69837"},"_deposit":{"id":"214712","pid":{"type":"depid","value":"214712","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova","author_link":["551987","551990","551984","551985","551986","551989","551991","551988"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Nagaoka University of Technology"},{"subitem_text_value":"Nagaoka University of Technology"},{"subitem_text_value":"Osaka City University"},{"subitem_text_value":"Osaka City University"},{"subitem_text_value":"Niigata University"},{"subitem_text_value":"National Astronomical Observatory of Japan"},{"subitem_text_value":"Fukuoka University"},{"subitem_text_value":"Tokyo City University"}]},"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/214712/files/IPSJ-Z83-5J-04.pdf","label":"IPSJ-Z83-5J-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5J-04.pdf","filesize":[{"value":"398.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"550651f9-8c50-49f5-89dd-415deb9ce935","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Malith, De Silva"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsuko, T. Nakahira"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mei, Takeda"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuyuki, Kanda"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ken-ichi, Oohara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomoya, Takiwaki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kei, Kotake"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirotaka, Takahashi"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"With the strain sensitivity improvement of the next generation GW detectors, it is expected to detect GW from SN being SN as one of the promising sources. Therefore, data analysis of GW from SN is essential, however, the identification of frequency features is the main issue by the conventional method Short Time Fourier Transform (STFT) due to low resolution nature. This research work focused on the comparison of effectiveness of identification of frequency features by STFT and Hilbert-Huang Transform (HHT) due to HHT having high resolution nature. Comparison of effectiveness of STFT and HHT on analysis of GW is reported.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"208","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"207","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}