{"id":15,"date":"2020-08-29T13:53:48","date_gmt":"2020-08-29T04:53:48","guid":{"rendered":"https:\/\/www.ikulab.org\/dong\/?page_id=15"},"modified":"2022-03-26T23:03:27","modified_gmt":"2022-03-26T14:03:27","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.ikulab.org\/dong\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h1><strong>Refereed International Journal<\/strong><\/h1>\n\n\n\n<ul>\n<li><span style=\"font-size: 90%;\"><u>R. Dong<\/u>, Y. Fujita, H. Nakamura and S. Ikuno, <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9740659\">Electromagnetic Penetration and Reflection Analysis in Fractal Structures using Three-dimensional Empirical Mode Decomposition<\/a>. in IEEE Transactions on Magnetics. <\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Dong, R.<\/u>., Ni, S., &#038; Ikuno, S. <a href=\"https:\/\/www.nature.com\/articles\/s41598-022-06095-w\">Nonlinear frequency analysis of COVID-19 spread in Tokyo using empirical mode decomposition<\/a>. Scientific Reports 12.1 (2022): 1-12.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Dong, R.<\/u>., Shigeta, D., Fujita, Y., &#038; Ikuno, S. <a href=\"https:\/\/doi.org\/10.15748\/jasse.9.65\">Photonic Crystal Frequency Demultiplexer Design for Electromagnetic Wave using FDTD and MEMD<\/a>. Journal of Advanced Simulation in Science and Engineering 9.1 (2022): 65-77.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Dong, R.<\/u>, Chang, Q. &amp; Ikuno, S.  <a href=\"https:\/\/rdcu.be\/cmCwe\">A deep learning framework for realistic robot motion generation<\/a>. Neural Comput &amp; Applic (2021).<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\">Hayano, S., <u>Dong, R<\/u>., Miyata, Y., &#038; Kasuga, S.  <a href=\"https:\/\/www.nature.com\/articles\/s41598-021-92137-8\">The study of differences by region and type of gambling on the degree of gambling addiction in Japan<\/a>. Scientific reports 11.1 (2021): 1-9.\n\n<li><span style=\"font-size: 90%;\"><u>Dong, R.<\/u>, Cai, D., Ikuno, S. \n<a href=\"https:\/\/www.mdpi.com\/1424-8220\/20\/22\/6534\"> Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform<\/a>. Sensors 2020, 20, 6534.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Ran Dong<\/u>, Yang Chen, Dongsheng Cai, Shinobu Nakagawa, Tomonari Higaki &amp; Nobuyoshi Asai (2020), <a rel=\"nofollow\" href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/01691864.2019.1703811\">Robot Motion Design Using Bunraku Emotional Expressions &#8211; Focusing on Jo-ha-ky\u016b in Sounds and Movements<\/a>. Advanced Robotics, 34:5, 299-312.<\/span><\/li><\/ul>\n\n\n\n<h1>Refereed International Conference<\/h1>\n\n\n\n<ul><li><span style=\"font-size: 90%;\"><u>Dong, R<\/u>., Lin, Y., Chang, Q., Zhong, J., Cai, D., &#038; Ikuno, S.  <a href=\"https:\/\/doi.org\/10.1145\/3491396.3506524\" rel=\"nofollow\">Motion Feature Extraction and Stylization for Character Animation using Hilbert-Huang Transform<\/a>. Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications. 2021.<\/span>\n\n<li><span style=\"font-size: 90%;\"><u>Dong, R<\/u>., He, Y., Cai, D., Yamaguchi, J., Kondo, H., Nakagawa, S., Ikuno, S., &#038; Hayano, S. <a href=\"https:\/\/doi.org\/10.1145\/3450623.3464669\" rel=\"nofollow\">Interacting with Humanoid Robots: Affective Robot Motion Design with 3D Squash and Stretch Using Japanese Jo-ha-kyu Principles in Bunraku<\/a>. In Proceedings of SIGGRAPH \u201921 Talks. ACM, New York, NY, USA, 2 pages.<\/span><\/li>\n\n\n<li><span style=\"font-size: 90%;\">Hou, Z., Cai, D., &#038; <u>Dong, R<\/u>. <a href=\"https:\/\/doi.org\/10.1145\/3450623.3464678\" rel=\"nofollow\">Photonic Rendering for Hair Cuticles using High Accuracy NS-FDTD method<\/a>. In Proceedings of SIGGRAPH \u201921 Talks. ACM, New York, NY, USA, 2 pages.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\">Yang Chen, <u>Ran Dong<\/u>, Dongsheng Cai, Shinobu Nakagawa, Tomonari Higaki, and Nobuyoshi Asai. 2019. <a href=\"https:\/\/doi.org\/10.1145\/3306307.3328196\" rel=\"nofollow\">The Beauty of Breaking Rhythms: Affective Robot Motion Design Using Jo-Ha-Kyu of Bunraku Puppet<\/a>. In Proceedings of SIGGRAPH \u201919 Talks. ACM, New York, NY, USA, 2 pages.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Ran Dong<\/u>, Dongsheng Cai, and Nobuyoshi Asai. 2017. <a href=\"http:\/\/dl.acm.org\/citation.cfm?doid=3084363.3085023\" rel=\"nofollow\">Dance Motion Analysis and Editing using Hilbert-Huang Transform<\/a>. In Proceedings of SIGGRAPH \u201917 Talks, Los Angeles, CA, USA, July 30 &#8211; August 03, 2017, 2 pages.<\/span><\/li>\n\n<li><span style=\"font-size: 90%;\"><u>Ran Dong<\/u>, Dongsheng Cai, and Nobuyoshi Asai. 2017. <a href=\"http:\/\/dl.acm.org\/citation.cfm?id=3095175\" rel=\"nofollow\">Nonlinear Dance Motion Analysis and Motion Editing using Hilbert-Huang Transform<\/a>. In Proceedings of CGI \u201917, Yokohama, Japan, June 27-30, 2017, 6 pages.<\/span><\/li><\/ul>\n\n\n\n<h1>Refereed Japanese Domestic Journal<\/h1>\n\n\n\n<ul><li><span style=\"font-size: 90%;\"><u>\u8463\u7136<\/u>, \u8521\u6771\u751f, <a rel=\"nofollow\" href=\"https:\/\/search.ieice.org\/bin\/summary.php?id=j102-d_12_843\">\u30d2\u30eb\u30d9\u30eb\u30c8\uff0d\u30d5\u30a1\u30f3\u5909\u63db\u3092\u7528\u3044\u305f\u30c0\u30f3\u30b9\u30e2\u30fc\u30b7\u30e7\u30f3\u89e3\u6790<\/a>, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u548c\u6587\u8ad6\u6587\u8a8c(D) Vol.J102-D,No.12,pp.843-853,Dec. 2019.<\/span><\/li><li><span style=\"font-size: 90%;\">\u6c34\u4e0a \u76f4\u6a39, \u9577\u5cef \u671b, \u4e2d\u66fd\u6839 \u9686\u592a, \u7560\u5c71 \u76f4, \u7fbd\u5c71 \u548c\u7d00, \u8521 \u6771\u751f,<u> \u8463 \u7136,<\/u> <a rel=\"nofollow\" href=\"https:\/\/bunken.rtri.or.jp\/PDF\/cdroms1\/0001\/2019\/0001004493.pdf\">\u904b\u8ee2\u58eb\u306e\u652f\u63f4\u306b\u5411\u3051\u305f\u7720\u6c17\u691c\u77e5\u624b\u6cd5\u306e\u958b\u767a (\u7279\u96c6 \u4eba\u9593\u79d1\u5b66)<\/a> ,\u9244\u9053\u7dcf\u7814\u5831\u544a = RTRI report : \u9244\u9053\u7dcf\u5408\u6280\u8853\u8ad6\u6587\u8a8c&nbsp;&nbsp; 33(1) 11-16&nbsp;&nbsp; 2019\u5e741\u6708<\/span><\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Refereed International Journal R. Dong, Y. Fujita, H. Nakamura and S. Ikuno, Electromagnetic Penetration and Reflection Analysis in Fractal Structures using Three-dimensional Empirical Mode Decomposition. in IEEE Transactions on Magnetics. Dong, R.., Ni, S., &#038; Ikuno, S. Nonlinear frequency analysis of COVID-19 spread in Tokyo using empirical mode decomposition. Scientific Reports 12.1 (2022): 1-12. Dong, &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ikulab.org\/dong\/publications\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Publications&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/pages\/15"}],"collection":[{"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":28,"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":169,"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/pages\/15\/revisions\/169"}],"wp:attachment":[{"href":"https:\/\/www.ikulab.org\/dong\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}