{"created":"2021-03-01T06:17:02.522644+00:00","id":10228,"links":{},"metadata":{"_buckets":{"deposit":"eaa183d9-6b52-4852-b520-12096591ac0f"},"_deposit":{"id":"10228","owners":[],"pid":{"revision_id":0,"type":"depid","value":"10228"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00010228","sets":["320:502:503"]},"author_link":["30977","30978","30979"],"item_10_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2007-10","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"440","bibliographicPageStart":"438","bibliographic_titles":[{"bibliographic_title":"IEEE 9th Workshop on Multimedia Signal Processing (MMSP 2007)","bibliographic_titleLang":"en"}]}]},"item_10_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a Wavelet-based prediction method of the Internet traffic volume.  By introducing maximal overlap formulation of the Haar wavelet, the proposed method is free from so-called boundary condition, which arises from processing delay of analysis filters of the  wavelet transform and refrains from full utilization of information on recent input signals. The proposed method is based on a vector autoregressive model so as to introduce inter-scale correlation of Wavelet coefficient series at different scales.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"DOI","subitem_identifier_uri":"http://dx.doi.org/10.1109/MMSP.2007.4412910"},{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/12048"}]},"item_10_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE","subitem_publisher_language":"en"}]},"item_10_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/MMSP.2007.4412910","subitem_relation_type_select":"DOI"}}]},"item_10_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2007 IEEE. Reprinted from IEEE 9th Workshop on Multimedia Signal Processing, 2007. MMSP 2007. p.438-440. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.","subitem_rights_language":"en"}]},"item_10_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_10_text_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_text_value":"application/pdf"}]},"item_1615787544753":{"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_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Matsusue, Naoya","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"30977","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hasegawa, Hiroshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"30978","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Sato, Ken-ichi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"30979","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":"2018-02-20"}],"displaytype":"detail","filename":"Suppression_of_Boundary.pdf","filesize":[{"value":"326.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Suppression_of_Boundary.pdf","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/10228/files/Suppression_of_Boundary.pdf"},"version_id":"6e70102a-7516-4d03-b643-a5e884f1b681"}]},"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":"Suppression of Boundary Effect and Introduction of Scale Correlation for Wavelet based Traffic Prediction","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Suppression of Boundary Effect and Introduction of Scale Correlation for Wavelet based Traffic Prediction","subitem_title_language":"en"}]},"item_type_id":"10","owner":"1","path":["503"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2009-08-19"},"publish_date":"2009-08-19","publish_status":"0","recid":"10228","relation_version_is_last":true,"title":["Suppression of Boundary Effect and Introduction of Scale Correlation for Wavelet based Traffic Prediction"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-16T03:56:09.346454+00:00"}