{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00227874","sets":["1164:8228:11154:11329"]},"path":["11329"],"owner":"44499","recid":"227874","title":["Preliminary Investigation of Indoor GPS Satellite Reception Prediction via Neural Networks"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-09-18"},"_buckets":{"deposit":"57657a4b-65c9-4d92-95ec-0bc342db2728"},"_deposit":{"id":"227874","pid":{"type":"depid","value":"227874","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Preliminary Investigation of Indoor GPS Satellite Reception Prediction via Neural Networks","author_link":["607706","607708","607705","607707"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Preliminary Investigation of Indoor GPS Satellite Reception Prediction via Neural Networks"},{"subitem_title":"Preliminary Investigation of Indoor GPS Satellite Reception Prediction via Neural Networks","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"スマートテクノロジーとデバイス","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-09-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University"},{"subitem_text_value":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University","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/227874/files/IPSJ-ASD23027047.pdf","label":"IPSJ-ASD23027047.pdf"},"date":[{"dateType":"Available","dateValue":"2025-09-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ASD23027047.pdf","filesize":[{"value":"3.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"49"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"18d85831-b683-4609-bb17-3caf26a8a515","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Heng, Zhou"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuya, Maekawa"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Heng, Zhou","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuya, Maekawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1271737X","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":"2189-4450","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The application of GPS in indoor environments remains a challenge due to the loss of signal precision. This research introduces a novel method for predicting the GPS signal strength received by smart-phones at arbitrary positions within a specified floor of a building. These predicted signal strengths could serve as a simple indoor fingerprinting system, obviating the need for an additional signaling infrastructure. We suggested a neural network-based system for signal strength prediction that mainly depends on the current position of the satellite of interest and the floor plan of the target floor incorporating wall and window information. Furthermore, we employ information about the azimuthal and elevation angles of the GPS satellite, as well as shapes and heights of nearby tall buildings, to estimate the line of sight (LOS) from each satellite to the target environment, which also serves as input. Preliminary experiments of this framework using real-world building data have been conducted.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The application of GPS in indoor environments remains a challenge due to the loss of signal precision. This research introduces a novel method for predicting the GPS signal strength received by smart-phones at arbitrary positions within a specified floor of a building. These predicted signal strengths could serve as a simple indoor fingerprinting system, obviating the need for an additional signaling infrastructure. We suggested a neural network-based system for signal strength prediction that mainly depends on the current position of the satellite of interest and the floor plan of the target floor incorporating wall and window information. Furthermore, we employ information about the azimuthal and elevation angles of the GPS satellite, as well as shapes and heights of nearby tall buildings, to estimate the line of sight (LOS) from each satellite to the target environment, which also serves as input. Preliminary experiments of this framework using real-world building data have been conducted.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告高齢社会デザイン（ASD）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-09-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"47","bibliographicVolumeNumber":"2023-ASD-27"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:27:07.509727+00:00","updated":"2025-01-19T12:01:52.024696+00:00","id":227874}