{"created":"2023-06-19T10:35:01.433091+00:00","id":907,"links":{},"metadata":{"_buckets":{"deposit":"358c89fb-35a8-4a2f-a750-846f00ceb989"},"_deposit":{"created_by":14,"id":"907","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"907"},"status":"published"},"_oai":{"id":"oai:ous.repo.nii.ac.jp:00000907","sets":["296:314:324"]},"author_link":[],"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1991-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"238","bibliographicPageStart":"231","bibliographicVolumeNumber":"26","bibliographic_titles":[{"bibliographic_title":"岡山理科大学紀要. A, 自然科学","bibliographic_titleLang":"ja"},{"bibliographic_title":"Bulletin of Okayama University of Science. A, Natural Sciences","bibliographic_titleLang":"en"}]}]},"item_1_creator_6":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"入江, 浩一","creatorNameLang":"ja"},{"creatorName":"イリエ, コウイチ","creatorNameLang":"ja-Kana"},{"creatorName":"Irie, Koichi","creatorNameLang":"en"}]}]},"item_1_description_1":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P(論文)","subitem_description_type":"Other"}]},"item_1_description_12":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"Prediction method for slant-path rain attenuation is studied in connection with the one by CCIR. The study is based on the latest CCIR databank of rain attenuation. First, an empirical formula is derived to calculate an effective slantpath length (defined as attenuation devided by the specific attenuation at the point rain rate) using the point rain rate and the elevation angle. Second, an averaged cumulative distribution over entire sites for normalized attenuation (1.0 at 0.01%) is given in a form of log-normal, Moupfouma and log-polynomial of second order distribution. The proposed method shows increased prediction accuracy over the CCIR's, although it is empirically from the data to be evaluated.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_1_source_id_13":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AN00033244","subitem_source_identifier_type":"NCID"}]},"item_1_text_10":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Department of Electronic Engineering, Okayama University of Science"}]},"item_1_text_9":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"岡山理科大学工学部電子工学科"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"1991-03-20"}],"displaytype":"detail","filename":"KJ00000063460.pdf","filesize":[{"value":"328.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://ous.repo.nii.ac.jp/record/907/files/KJ00000063460.pdf"},"version_id":"b615eaa5-d4f7-4e9d-8396-ff7c434f0122"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"CCIRの斜め伝搬路降雨減衰推定法に関する検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CCIRの斜め伝搬路降雨減衰推定法に関する検討","subitem_title_language":"ja"},{"subitem_title":"Some Aspects of CCIR Prediction Method for Slant-Path Rain Attenuation","subitem_title_language":"en"},{"subitem_title":"CCIR ノ ナナメ デンパンロ コウウ ゲンスイ スイテイホウ ニ カンスル ケントウ","subitem_title_language":"ja-Kana"}]},"item_type_id":"1","owner":"14","path":["324"],"pubdate":{"attribute_name":"PubDate","attribute_value":"1991-03-20"},"publish_date":"1991-03-20","publish_status":"0","recid":"907","relation_version_is_last":true,"title":["CCIRの斜め伝搬路降雨減衰推定法に関する検討"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2023-09-27T06:28:28.464619+00:00"}