{"id":417,"date":"2024-03-20T11:46:36","date_gmt":"2024-03-20T02:46:36","guid":{"rendered":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=417"},"modified":"2025-01-31T18:36:25","modified_gmt":"2025-01-31T09:36:25","slug":"2018-2","status":"publish","type":"page","link":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=417","title":{"rendered":"Publications 2018"},"content":{"rendered":"\n<section class=\"background-zebra\">\n            <h2>Journals<\/h2>\n            <ul>\n                                  <li class=\"achievements-list-item\">\n                        A digital watermarking technique for music data using distortion effect\n                        (Yuto Matsunaga, Tetsuya Kojima, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto)\n                                                    - Acoustical Science and Technology, vol.39, no.1, pp.37--39\n                                                                            (2018\/1)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n            <section class=\"background-zebra\">\n            <h2>Int'l Conferences<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        A Digital Modeling Technique for Distortion Effect Based on a Machine Learning Approach\n                        (Yuto Matsunaga, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto)\n                                                    - Asia Pacific Signal and Information Processing Association, pp.1888-1892\n                                                                            (2018\/11)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n            <section class=\"background-zebra\">\n            <h2>Domenstic Conferences<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        Combining Cone and Ray Tracing for Ambient Occlusion Computation\n                        (Namo Podee, Yoshinori Dobashi, Tsuyoshi Yamamoto)\n                                                    - \u7b2c170\u56deCGVI\u7814\u7a76\u767a\u8868\u4f1a\n                                                                            (2018\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30c8\u3092 \u7528\u3044\u305f\u97f3\u97ff\u96fb\u5b50\u900f\u304b\u3057\u306e\u6539\u826f\n                        (\u677e\u6c38 \u60a0\u6597, \u5c0f\u5d8b \u5fb9\u4e5f, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u4fe1\u5b66\u6280\u5831, vol. 117, no. 425, EMM2017-76, pp. 55-60\n                                                                            (2018\/1)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30d6\u30ed\u30c3\u30af\u69cb\u9020\u306b\u57fa\u3065\u3044\u305f\u975e\u7dda\u5f62 \u6b6a\u307f\u56de\u8def\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\n                        (\u677e\u6c38 \u60a0\u6597, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\n                                                                            (2018\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        LSTM\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30bf\u306e\u30c7\u30b8\u30bf\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\n                        (\u677e\u6c38 \u60a0\u6597, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u4fe1\u5b66\u6280\u5831, vol. 118, no. 149, EA2018-26, pp. 153-157\n                                                                            (2018\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30bf\u306e\u30c7\u30b8\u30bf\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u95a2\u3059\u308b\u7814\u7a76\n                        (\u677e\u6c38 \u60a0\u6597, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2018\/10)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6c4e\u7528PC\u306b\u304a\u3051\u308b\u97f3\u6ce2\u3092\u7528\u3044\u305f \u30b8\u30a7\u30b9\u30c1\u30e3\u691c\u51fa\u306e\u5fdc\u7528\n                        (\u6709\u50cd \u7be4\u4eba, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u60c5\u5831\u30cf\u30a4 \u30c7\u30a3\u30f3\u30b0\u30fb\u30a8\u30f3\u30ea\u30c3\u30c1\u30e1\u30f3\u30c8\u7814\u7a76\u4f1a\u8cc7\u6599, EMM2017-73\n                                                                            (2018\/1)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30ea\u30ba\u30e0\u30b2\u30fc\u30e0\u306e\u8b5c\u9762\u30c7\u30fc\u30bf\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u81ea\u52d5\u751f\u6210\n                        (\u6709\u50cd \u7be4\u4eba, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u5fdc\u7528\u97f3\u97ff\u7814\u7a76\u4f1a\u8cc7\u6599, EA2018-27\n                                                                            (2018\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30ea\u30ba\u30e0\u30b2\u30fc\u30e0\u306e\u8b5c\u9762\u30c7\u30fc\u30bf\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u81ea\u52d5\u751f\u6210\n                        (\u6709\u50cd \u7be4\u4eba, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2018\/10)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u4f8b\u793a\u753b\u50cf\u3092\u7528\u3044\u305f\u98a8\u5316\u52b9\u679c\u306e\u751f\u6210\n                        (\u5de5\u85e4 \u5bdb\u6a39, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2018\/10)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30ea\u30ba\u30e0\u304a\u3088\u3073\u97f3\u8272\u306e\u5909\u5316\u306b\u3088\u308b\u697d\u66f2\u306e\u5206\u5272\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u83ca\u6c60\u3000\u96c4\u5927, \u9752\u6728\u3000\u76f4\u53f2, \u571f\u6a4b\u3000\u5b9c\u5178, \u5c71\u672c\u3000\u5f37)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u60c5\u5831\u30cf\u30a4\u30c7\u30a3\u30f3\u30b0\u30fb\u30a8\u30f3\u30ea\u30c3\u30c1\u30e1\u30f3\u30c8\u7814\u7a76\u4f1a\u8cc7\u6599[\u53e3\u982d\u767a\u8868]\n                                                                            (2018\/1)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u697d\u66f2\u306e\u7279\u5fb4\u91cf\u306b\u57fa\u3065\u3044\u305f\u697d\u66f2\u5185\u90e8\u306e\u985e\u4f3c\u5ea6\u306e\u8a08\u7b97\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u83ca\u6c60\u3000\u96c4\u5927, \u9752\u6728\u3000\u76f4\u53f2, \u571f\u6a4b\u3000\u5b9c\u5178, \u5c71\u672c\u3000\u5f37)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u5fdc\u7528\u97f3\u97ff\u7814\u7a76\u4f1a\u8cc7\u6599[\u30dd\u30b9\u30bf\u30fc\u767a\u8868]\n                                                                            (2018\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        MFCC\u3092\u7528\u3044\u305f\u697d\u66f2\u5185\u90e8\u306e\u985e\u4f3c\u5ea6\u306e\u8a08\u7b97\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u83ca\u6c60\u3000\u96c4\u5927, \u9752\u6728\u3000\u76f4\u53f2, \u571f\u6a4b\u3000\u5b9c\u5178, \u5c71\u672c\u3000\u5f37)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a[\u30dd\u30b9\u30bf\u30fc\u767a\u8868]\n                                                                            (2018\/10)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n","protected":false},"excerpt":{"rendered":"<p>Journals A digital watermarking technique for music data using distortion effect (Yuto Matsunaga, Tetsuya Koji [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":915,"menu_order":-2018,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-417","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/417","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=417"}],"version-history":[{"count":4,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/417\/revisions"}],"predecessor-version":[{"id":659,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/417\/revisions\/659"}],"up":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/915"}],"wp:attachment":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}