{"created":"2023-06-20T15:17:12.901518+00:00","id":11020,"links":{},"metadata":{"_buckets":{"deposit":"8d8c618c-976e-4df5-8504-dedb27ea6965"},"_deposit":{"created_by":21,"id":"11020","owners":[21],"pid":{"revision_id":0,"type":"depid","value":"11020"},"status":"published"},"_oai":{"id":"oai:nifs-repository.repo.nii.ac.jp:00011020","sets":["6:7"]},"author_link":["67786","66512","127067","66513","127068"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-08-18","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"1141","bibliographicVolumeNumber":"24","bibliographic_titles":[{"bibliographic_title":"Journal of Visualization"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A magnetic field is used to confine the plasma to achieve controlled fusion. Therefore, since the movement of the plasma follows magnetic field lines, a plurality of magnetic field lines is calculated from electromagnetic field simulation results in a fusion reactor. Because of the complicated distribution of magnetic field lines in three-dimensional (3D) space, existing analysis measures which are mostly based on two-dimensional poloidal plasma cross-sections are unsatisfactory for domain experts. To solve this problem, we propose a technique for reconstructing a regular scalar field from the magnetic field lines. First, on poloidal plasma cross-sections, intersection points of magnetic field lines are used to make annotations of learning the plasma shape. Then, a deep neural network is built to approximate the scalar field that represents the probability of the existence of magnetic field lines. Consequently, a 3D model of plasma shape has managed to be constructed by applying the marching cubes method. The effectiveness of the proposed method is demonstrated by comparing it with the conventional method and domain experts’ reviews.","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer Link"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1007/s12650-021-00768-w","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"Hu, K., Koyamada, K., Ohtani, H. et al. Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique. J Vis 24, 1141–1154 (2021). https://doi.org/10.1007/s12650-021-00768-w"}]}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"Publisher version"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s12650-021-00768-w","subitem_relation_type_select":"DOI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"(c) EDP Sciences, Societ a Italiana di Fisica, Springer-Verlag 2021"}]},"item_10001_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11268703","subitem_source_identifier_type":"NCID"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13438875","subitem_source_identifier_type":"ISSN"}]},"item_10001_text_23":{"attribute_name":"NAIS","attribute_value_mlt":[{"subitem_text_value":"|||"}]},"item_10001_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"HU, Kunqi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"KOYAMADA, Koji"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":""}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"OHTANI,  Hiroaki"}],"familyNames":[{}],"givenNames":[{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":""}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"GOTO,  Takuya"}],"familyNames":[{}],"givenNames":[{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":""}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"MIYAZAWA,  Junichi"},{"creatorName":"MIYAZAWA, Jun-ichi"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-08-18"}],"displaytype":"detail","filename":"J.Vis.24_pp1141.pdf","filesize":[{"value":"6.3 MB"}],"format":"application/pdf","licensetype":"license_6","mimetype":"application/pdf","url":{"label":"J.Vis.24_pp1141","url":"https://nifs-repository.repo.nii.ac.jp/record/11020/files/J.Vis.24_pp1141.pdf"},"version_id":"4d30e797-661f-4916-acd2-23d76bde09f1"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Visualization","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep learning","subitem_subject_scheme":"Other"},{"subitem_subject":"Plasma shape","subitem_subject_scheme":"Other"},{"subitem_subject":"3D model","subitem_subject_scheme":"Other"}]},"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":"Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique"}]},"item_type_id":"10001","owner":"21","path":["7"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-03"},"publish_date":"2022-02-03","publish_status":"0","recid":"11020","relation_version_is_last":true,"title":["Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique"],"weko_creator_id":"21","weko_shared_id":-1},"updated":"2023-09-28T06:37:29.241622+00:00"}