{"created":"2025-01-19T01:28:53.050891+00:00","updated":"2025-01-19T11:29:16.205250+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229619","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229619","title":["GPT-2を用いた人々の一日の移動軌跡の生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"9cf966ce-2adc-4f1b-9d4f-709a501f728f"},"_deposit":{"id":"229619","pid":{"type":"depid","value":"229619","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"GPT-2を用いた人々の一日の移動軌跡の生成","author_link":["617646","617648","617647"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GPT-2を用いた人々の一日の移動軌跡の生成"}]},"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":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"金沢学院大"},{"subitem_text_value":"金沢学院大"},{"subitem_text_value":"NII"}]},"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/229619/files/IPSJ-Z85-6A-04.pdf","label":"IPSJ-Z85-6A-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-6A-04.pdf","filesize":[{"value":"542.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"2221ff8f-c241-4709-ab63-8d9c30431b09","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤本, 祥二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石川, 温"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水野, 貴之"}],"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":"日本の地域グリッドコード JIS X0,410 で分割された地理空間に対して、SentencePieceによるトークン化を適用し、個々の日々の軌跡をトークン時系列に変換する新しい方法を提案する。さらに、トークン時系列を深層学習自然言語モデルGPT-2で学習させることで、高精度な個々の日々の軌跡の生成器を構築する。モデルによって生成された個々の日ごとの軌跡は、1）軌跡の1時間毎の移動距離の分布は対数関数に従うファットテイルを持つ、2）移動距離の自己相関関数は短時間記憶を示す、3）長距離移動では1時間の移動方向に正の自己相関が存在する、4）個々の軌跡において最終位置は初期位置の近くになることが多い、5）人の拡散は移動の時間スケールによって変化する、等の5つの現実的な特性を再現している。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"178","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"177","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229619,"links":{}}