{"id":141,"date":"2020-03-05T13:32:58","date_gmt":"2020-03-05T04:32:58","guid":{"rendered":"https:\/\/www.alps-lab.org\/?page_id=141"},"modified":"2021-07-28T09:55:33","modified_gmt":"2021-07-28T00:55:33","slug":"2018%e5%b9%b4%e5%ba%a6%e7%a0%94%e7%a9%b6%e6%88%90%e6%9e%9c-achievement-in-2018","status":"publish","type":"page","link":"https:\/\/www.alps-lab.org\/?page_id=141","title":{"rendered":"2018\u5e74\u5ea6 \/ Achievements in 2018"},"content":{"rendered":"\n<ul><li><strong>\u4fee\u58eb\u8ad6\u6587 \/ Master Thesis<\/strong><ul><li>\u9f4b\u85e4 \u62d3\u54c9\uff1a\u7279\u8a31\u5bfe\u5fdc\u306e\u305f\u3081\u984c\u76ee\u306f\u975e\u516c\u958b<\/li><\/ul><\/li><li><strong>\u5352\u696d\u8ad6\u6587 \/ Graduate Thesis<\/strong><ul><li>\u9577\u8c37\u5ddd \u76f4\u8f1d\uff1a\u8a00\u8a9e\u60c5\u5831\u304c\u542b\u307e\u308c\u3066\u3044\u306a\u3044\u30b9\u30e9\u30a4\u30c9\u306b\u5bfe\u3059\u308b\u691c\u7d22\u624b\u6cd5<\/li><li>\u4e0b\u7b20 \u5143\u6689\uff1a\u8d85\u9ad8\u9f62\u8005\u97f3\u58f0\u8a8d\u8b58\u306e\u305f\u3081\u306e\u97f3\u58f0\u8a8d\u8b58\u30e2\u30c7\u30eb\u306e\u8ee2\u79fb\u5b66\u7fd2<\/li><li>\u65e9\u5ddd \u53cb\u745b\uff1a\u8907\u6570\u8a00\u8a9e\u306b\u5bfe\u5fdc\u3057\u305f\u97f3\u58f0\u8a8d\u8b58\u306e\u305f\u3081\u306e\u5171\u6709\u97f3\u7d20\u4f53\u7cfb\u306e\u7372\u5f97\u3000<span style=\"color:red;\">\u203b\u5352\u8ad6\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde<\/span><\/li><li>\u798f\u539f \u4e00\u8aa0\uff1a\u6df1\u5c64\u7279\u5fb4\u91cf\u3092\u7528\u3044\u305f\u985e\u4f3c\u56f3\u9762\u691c\u7d22\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/li><li>\u5927\u5ddd \u6b63\u6689\uff1a\u7279\u8a31\u5bfe\u5fdc\u306e\u305f\u3081\u984c\u76ee\u306f\u975e\u516c\u958b<\/li><\/ul><\/li><li><strong>\u96d1\u8a8c\u63b2\u8f09\u8ad6\u6587 \/ Paper&nbsp;(reviewed)<\/strong><ul><li>Abdul Syafiq Abdull Sukor, Ammar Zakaria, Norasmadi, Abdul Rahim Norasmadi, Latifah Munirah Kamarudin, Rossi Setchi, Hiromitsu Nishizaki, &#8220;A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes,&#8221; Journal of Intelligent \\&amp; Fuzzy Systems, vol. 36, no. 5, pp. 4177-4188, 2019.5, DOI:10.3233\/JIFS-169976<\/li><li>\u897f\u5d0e\u535a\u5149\uff0c\u30ec\u30aa \u30c1\u30fc\u30b7\u30e3\u30f3\uff0c\u7267\u91ce\u6d69\u4e8c\uff0c\u201d\u5c0f\u578b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u52d5\u4f5c\u691c\u8a3c\u201d\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC\uff0cVol.138\uff0cNo.9\uff0c pp.1108-1115, 2018.9\uff0cDOI:10.1541\/ieejeiss.138.1108<\/li><\/ul><\/li><li><strong>\u56fd\u969b\u4f1a\u8b70\u767a\u8868\uff08\u67fb\u8aad\u3042\u308a\uff09 \/ International Conference (reviewed)<\/strong><ul><li>Chee Sian Leow, Hiromitsu Nishizaki, &#8220;A Task Manual Creation Support System Using Automatic Speech Recognition,&#8221;, Proceedings of the 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), pp.259-262, 2018.10, DOI: 10.1109\/GCCE.2018.8574796, Presented on 2018\/10\/10 in Nara.<\/li><li>Meiko Fukuda, Hiromitsu Nishizaki,Ryota Nishimura, Yurie Iribe, Norihide Kitaoka, &#8220;Construction of a Corpus for Elderly Japanese Speech Recognition,&#8221;, Proceedings of the 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), pp.687-688, 2018.10, DOI: 10.1109\/GCCE.2018.8574795, Presented on 2018\/10\/11 in Nara.<\/li><li>Norihide Kitaoka, Yurie Iribe, Hiromitsu Nishizaki, &#8220;Construction of a Corpus of Elderly Japanese Speech for Analysis and Recognition,&#8221; Proceedings of the special speech sessions in The 11th International Conference on Language Resources and Evaluation (LREC2018), pp.14&#8211;20, 2018.5, presented in Miyazaki, Japan<\/li><\/ul><\/li><li><strong>\u53e3\u982d\u767a\u8868<\/strong><ul><li>\u6fa4\u7530\u76f4\u8f1d\uff0c\u9f4b\u85e4\u62d3\u54c9\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u97f3\u6ce2\u5f62\u3092\u76f4\u63a5\u5165\u529b\u3068\u3059\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u97f3\u97ff\u30a4\u30d9\u30f3\u30c8\u5206\u985e&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2019\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-P-1\uff0cpp.899-900, 2019.3\uff0c2019\u5e743\u67085\u65e5\u767a\u8868\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09<\/li><li>\u5927\u5ddd\u6b63\u6689\uff0c\u6fa4\u7530\u76f4\u8f1d\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u4e8b\u524d\u51e6\u7406\u4e0d\u8981\u306a\u6df1\u5c64\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u97f3\u697d\u30fb\u97f3\u58f0\u5206\u985e&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2019\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-P-2\uff0cpp.901-902, 2019.3\uff0c2019\u5e743\u67085\u65e5\u767a\u8868\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09<\/li><li>\u65e9\u5ddd\u53cb\u745b\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u8907\u6570\u8a00\u8a9e\u3067\u5171\u901a\u306a\u97f3\u7d20\u4f53\u7cfb\u306e\u81ea\u52d5\u7372\u5f97&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2019\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-P-3\uff0cpp.903-904, 2019.3\uff0c2019\u5e743\u67085\u65e5\u767a\u8868\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09<\/li><li>\u4e0b\u7b20\u5143\u6689\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u798f\u7530\u82bd\u8863\u5b50\uff0c\u897f\u6751\u826f\u592a\uff0c\u5317\u5ca1\u6559\u82f1\uff0c&#8221;\u8d85\u9ad8\u9f62\u8005\u306e\u81ea\u7136\u767a\u8a71\u97f3\u58f0\u306e\u305f\u3081\u306e\u97f3\u58f0\u8a8d\u8b58\u30e2\u30c7\u30eb\u306e\u691c\u8a0e&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2018\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-R-10\uff0cpp.977-978, 2018.9\uff0c2018\u5e749\u670812\u65e5\u767a\u8868\uff08\u5927\u5206\u5927\u5b66\uff09<\/li><li>\u65e9\u5ddd\u53cb\u745b\uff0c\u539f\u7fd4\u543e\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u8907\u6570\u8a00\u8a9e\u3067\u5171\u901a\u306e\u97f3\u7d20\u4f53\u7cfb\u306e\u691c\u8a0e\u3068\u3053\u308c\u3092\u7528\u3044\u305f\u97f3\u97ff\u30e2\u30c7\u30ea\u30f3\u30b0&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2018\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-R-11\uff0cpp.979-982, 2018.9\uff0c2018\u5e749\u670812\u65e5\u767a\u8868\uff08\u5927\u5206\u5927\u5b66\uff09<\/li><li>\u6fa4\u7530\u76f4\u8f1d\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u6b63\u89e3\u97f3\u7d20\u63a8\u5b9a\u5668\u3092\u7528\u3044\u305f\u97f3\u7d20\u5217\u304b\u3089\u306e\u5358\u8a9e\u5909\u63db\u5668\u306e\u691c\u8a0e&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2018\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-R-12\uff0cpp.983-984, 2018.9\uff0c2018\u5e749\u670812\u65e5\u767a\u8868\uff08\u5927\u5206\u5927\u5b66\uff09<\/li><li>\u897f\u5d0e\u535a\u5149\uff0c\u9f4b\u85e4\u53cb\u83dc\uff0c&#8221;\u97f3\u58f0\u767a\u8a71\u306e\u611f\u60c5\u5206\u985e\u306b\u304a\u3051\u308b\u97f3\u58f0\u8a8d\u8b58\u7d50\u679c\u3092\u5229\u7528\u3059\u308b\u5229\u70b9&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2018\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-R-13\uff0cpp.985-988, 2018.9\uff0c2018\u5e749\u670812\u65e5\u767a\u8868\uff08\u5927\u5206\u5927\u5b66\uff09<\/li><li>\u6df1\u6fa4\u8cb4\u88d5\uff0c\u897f\u5d0e\u9999\u82d7\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u6c60\u4e0a\u4ec1\u5fd7\uff1a&#8221;\u9589\u773c\u6642\u306b\u91cd\u5fc3\u52d5\u63fa\u304c\u5897\u5927\u3059\u308b\u981a\u9ac4\u75c7\u60a3\u8005\u306e\u59ff\u52e2\u5236\u5fa1\u306e\u7279\u5fb4&#8221;\uff0c\u7b2c44\u56de\u5c71\u68a8\u7dcf\u5408\u533b\u5b66\u4f1a\u8b1b\u6f14\u6284\u9332\u96c6\uff0c2018, 2018\u5e745\u670827\u65e5\u767a\u8868<\/li><\/ul><\/li><li><strong>\u7279\u8a31\u51fa\u9858<\/strong><ul><li>\u540d\u79f0\u306f\u975e\u516c\u958b\uff0c\u7279\u98582019-020257\uff0c2019\u5e742\u67087\u65e5\u51fa\u9858\u6e08<\/li><\/ul><\/li><li><strong>\u66f8\u7c4d\u30fb\u96d1\u8a8c<\/strong><ul><li>\u7267\u91ce\u6d69\u4e8c\uff0c\u897f\u5d0e\u535a\u5149\uff1a\u300e<a href=\"https:\/\/www.amazon.co.jp\/dp\/4274222535\/\">Python\u306b\u3088\u308b\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u5165\u9580\u30fcChainer\u3068OpenAI Gym\u3067\u306f\u3058\u3081\u308b\u5f37\u5316\u5b66\u7fd2\u30fc<\/a>\u300f\uff0c\u30aa\u30fc\u30e0\u793e\uff0c2018\u5e748\u670811\u65e5\u767a\u58f2<\/li><li>\u7267\u91ce\u6d69\u4e8c\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u6fa4\u7530\u76f4\u8f1d\uff0c&#8221;My\u4eba\u5de5\u77e5\u80fd\u306e\u80b2\u3066\u65b9\u3000\u7b2c\uff11\u90e8\u7b2c\uff13\u7ae0My\u300c\u97f3\u300d\u8a8d\u8b58\u4eba\u5de5\u77e5\u80fd\u306e\u3046\u307e\u3044\u80b2\u3066\u65b9&#8221;\uff0cpp.38&#8211;55, Interface 2018\u5e7412\u6708\u53f7<\/li><\/ul><\/li><li><strong>\u8b1b\u6f14\u4f1a\u30fb\u30bb\u30df\u30ca\u30fc<\/strong><ul><li>\u897f\u5d0e\u535a\u5149\uff1a&#8221;\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3067\u3067\u304d\u308b\u3053\u3068&#8221;\uff0c\u5c71\u68a8\u5927\u5b66\u6559\u80b2\u5b66\u90e8\u9644\u5c5e\u5c0f\u5b66\u6821\uff0c\u3042\u304a\u304e\u308a\u8b1b\u5ea7\uff0c2018\u5e7410\u670827\u65e5\uff08\u571f\uff09<\/li><li>\u897f\u5d0e\u535a\u5149\uff1a&#8221;\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff08\u6df1\u5c64\u5b66\u7fd2\uff09\u306e\u4ed5\u7d44\u307f\u304b\u3089\u5fdc\u7528\u307e\u3067&#8221;\uff0c\u5c71\u68a8\u770c\u7523\u696d\u6280\u8853\u30bb\u30f3\u30bf\u30fc\uff0c\u4eba\u5de5\u77e5\u80fd\u6d3b\u7528\u30bb\u30df\u30ca\u30fc\uff0c2018\u5e749\u670826\u65e5\uff08\u6c34\uff09<\/li><li>\u897f\u5d0e\u535a\u5149\uff1a&#8221;\u4eba\u5de5\u77e5\u80fd\u3068\u4eba\u9593\u306e\u5171\u5b58\u301c\u8eab\u8fd1\u306b\u306a\u3063\u3066\u304d\u305f\u97f3\u58f0\u8a8d\u8b58\u6280\u8853\u301c&#8221;\uff0c\u5c71\u68a8\u770c\u751f\u6daf\u5b66\u7fd2\u63a8\u9032\u30bb\u30f3\u30bf\u30fc\u4e3b\u50ac\uff0c\u5e73\u621030\u5e74\u5ea6\u73fe\u4ee3\u7684\u8ab2\u984c\u8b1b\u5ea7\uff0c2018\u5e749\u67087\u65e5\uff08\u91d1\uff09<\/li><li>Hiromitsu Nishizaki\uff1a&#8221;Deep Learning&#8221;\uff0cThe Sakura Science Plan Seminar Talk\uff0c\u4e3b\u50ac\uff1aJST\uff0c2018\u5e747\u670823, 24\u65e5\uff0c\u5c71\u68a8\u5927\u5b66<\/li><li>\u897f\u5d0e\u535a\u5149\uff1a&#8221;\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3067\u3067\u304d\u308b\u3053\u3068&#8221;\uff0c\u5c71\u68a8\u770c\u7acb\u90fd\u7559\u9ad8\u7b49\u5b66\u6821\u51fa\u524d\u8b1b\u7fa9\uff0c2018\u5e747\u67085\u65e5\uff08\u91d1\uff09<\/li><\/ul><\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>\u904e\u53bb\u306e\u7814\u7a76\u6210\u679c\u306f\u3053\u3061\u3089 | <a href=\"https:\/\/www.alps-lab.org\/?page_id=473\">2021<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=283\">2020<\/a>| <a href=\"https:\/\/www.alps-lab.org\/?page_id=37\">2019 <\/a>| <a href=\"https:\/\/www.alps-lab.org\/?page_id=141\">2018<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=171\">2017<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=192\">2016<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=644\">2015<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=664\">2014<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=672\">2013<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=676\">2012<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=679\">2011<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=681\">2010<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=696\">2009<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=699\">2008<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=701\">2007<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=703\">2006<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=705\">2005<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=707\">2004<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=709\">2003<\/a> | <a href=\"https:\/\/www.alps-lab.org\/?page_id=711\">2002\u4ee5\u524d<\/a> |<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4fee\u58eb\u8ad6\u6587 \/ Master Thesis \u9f4b\u85e4 \u62d3\u54c9\uff1a\u7279\u8a31\u5bfe &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":283,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-fullwidth.php","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/pages\/141"}],"collection":[{"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=141"}],"version-history":[{"count":15,"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/pages\/141\/revisions"}],"predecessor-version":[{"id":736,"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/pages\/141\/revisions\/736"}],"up":[{"embeddable":true,"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=\/wp\/v2\/pages\/283"}],"wp:attachment":[{"href":"https:\/\/www.alps-lab.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=141"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}