{"id":473,"date":"2021-04-05T22:53:17","date_gmt":"2021-04-05T13:53:17","guid":{"rendered":"https:\/\/www.smgrobo.jp\/?page_id=473"},"modified":"2023-02-08T11:38:04","modified_gmt":"2023-02-08T02:38:04","slug":"%e6%9c%80%e6%96%b0%e3%81%ae%e6%a5%ad%e7%b8%be-latest-achievements","status":"publish","type":"page","link":"https:\/\/www.smgrobo.jp\/?page_id=473","title":{"rendered":"2021\u5e74\u5ea6 \/ Achievements in 2021-2022"},"content":{"rendered":"\n<p><link href=\"https:\/\/use.fontawesome.com\/releases\/v5.8.2\/css\/all.css\" rel=\"stylesheet\"><\/p>\n<p>2021\u5e74\u5ea6\u306e\u7814\u7a76\u306b\u95a2\u308f\u308b\u696d\u7e3e\uff08\u7814\u7a76\u767a\u8868\u30fb\u8ad6\u6587\u30fb\u5916\u90e8\u8cc7\u91d1\u30fb\u53d7\u8cde\u7b49\uff09\u3067\u3059\u3002<br>The list shows published papers, grants, and awards in 2021-2022 season.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2021\u5e74\u5ea6 \/ Apr. 2021 \u301c Mar. 2022<\/h4>\n\n\n\n<ul>\n<li><strong>\u4fee\u58eb\u8ad6\u6587 \/ Master Thesis<\/strong>\n<ul>\n<li>\u6cc9\u6d66 \u6a39\uff1a\u6b69\u884c\u89e3\u6790\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3068\u6b69\u5bb9\u5909\u5316\u306e\u5224\u5b9a<\/li>\n<li>\u9060\u85e4 \u98af\u4eba\uff1a\u534a\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3092\u7528\u3044\u305f\u97f3\u97ff\u30a4\u30d9\u30f3\u30c8\u533a\u9593\u691c\u51fa <span style=\"color:red;\">\u203b\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde<\/span><\/li>\n<li>\u4f50\u91ce \u7950\u592a\uff1a\u63a5\u5ba2\u8a13\u7df4\u306e\u305f\u3081\u306e\u30b7\u30ca\u30ea\u30aa\u30d9\u30fc\u30b9\u578b\u97f3\u58f0\u5bfe\u8a71\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a <span style=\"color:red;\">\u203b\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde<\/span><\/li>\n<\/ul>\n<\/li>\n\n<li><strong>\u5352\u696d\u8ad6\u6587 \/ Graduate Thesis<\/strong>\n<ul>\n<li>\u5317\u5ddd \u667a\u6a39\uff1a\u6587\u5b57\u8a8d\u8b58\u5668\u8a13\u7df4\u306e\u305f\u3081\u306e\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u624b\u66f8\u304d\u6587\u5b57\u751f\u6210<\/li>\n<li>\u9f4b\u85e4 \u660e\u65e5\u7fd4\uff1a\u8ddd\u96e2\u5b66\u7fd2\u3092\u7528\u3044\u305f\u97f3\u58f0\u611f\u60c5\u5206\u985e <span style=\"color:red;\">\u203b\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde<\/span><\/li>\n<li>\u571f\u6a4b \u6643\u5f18\uff1a\u97f3\u58f0\u7279\u5fb4\u91cf\u306e\u5909\u63db\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u8907\u6570\u8a00\u8a9e\u97f3\u58f0\u8a8d\u8b58<\/li>\n<\/ul><\/li>\n\n<li><strong>\u96d1\u8a8c\u8ad6\u6587 (Journal papers)<\/strong>\n<ul>\n<li>A. H. A. Sa\u2019ahiry, A. H. Ismail, L. M. Kamarudin, A. Zakaria, H. Nishizaki, &#8220;An Experimental Study of Deep Learning Approach for Indoor Positioning System Using WI-FI System,&#8221; Intelligent Manufacturing and Mechatronics, Lecture Notes in Mechanical Engineering, pp.113-124, Springer, Singapore. Sept. 2021, DOI: <a href=\"https:\/\/doi.org\/10.1007\/978-981-16-0866-7_9\">10.1007\/978-981-16-0866-7_9<\/a><\/li>\n<li>\u53e4\u91ce\u53cb\u4e5f\uff0c\u85e4\u7530\u667a\uff0c\u738b\u6771\u7693\uff0c\u5c3e\u8eab\u512a\u6cbb\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u5b87\u6d25\u5442\u6b66\u4ec1\uff0c\u661f\u91ce\u51c6\u4e00\uff0c&#8221;\u5bfe\u8a71\u578b\u9867\u5ba2\u30a2\u30af\u30bf\u30fc\u306b\u3088\u308b\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u63a5\u5ba2\u8a13\u7df4VR\u30b7\u30b9\u30c6\u30e0&#8221;\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff0c63\u5dfb\uff0c1\u53f7\uff0cpp.231-241\uff0c2022.01.15\uff0c<a href=\"https:\/\/doi.org\/10.20729\/00215733\">DOI: 10.20729\/00215733<\/a> <\/li>\n<li>\u6771\u4e2d\u7adc\u4e00\u90ce\uff0c\u6e2f\u9686\u53f2\uff0c\u5883\u304f\u308a\u307e\uff0c\u8239\u5c71\u667a\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u9577\u4e95\u9686\u884c\uff0c&#8221;\u5bfe\u8a71\u30ed\u30dc\u30c3\u30c8\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u97f3\u58f0\u5bfe\u8a71\u30b7\u30b9\u30c6\u30e0\u69cb\u7bc9&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u8a8c\uff0c77\u5dfb\uff0c8\u53f7\uff0cpp.512-520\uff0c2021.8<\/li>\n<li>Chew Cheik Goh, Latifah Munirah Kamarudin, Ammar Zakaria, Hiromitsu Nishizaki, Nuraminah Ramli, Xiaoyang Mao, Syed Muhammad Mamduh Syed Zakaria, Ericson Kanagaraj, Abdul Syafiq Abdull Sukor and Md. Fauzan Elham, &#8220;Real-Time In-Vehicle Air Quality Monitoring System Using Machine Learning Prediction Algorithm,&#8221; Sensors, vol.21, no.15, 4956, pp.1-16, 2021.7, <a href=\"https:\/\/doi.org\/10.3390\/s21154956\">https:\/\/doi.org\/10.3390\/s21154956<\/a><\/li>\n<\/ul><\/li>\n\n<li><strong>\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 (Reviewed conference papers)<\/strong>\n<ul>\n<li>Koji Makino, Hiromitsu Nishizaki, Akihiro Usui, Xioyang Mao, &#8220;Usability of Instrument for a Farm Product in a Real Farm,&#8221; Proceedings of the 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), pp.379-383, 8th\/Mar.\/2022, Presented in Osaka <span style=\"color:red;\">\u203bIEEE LifeTech 2022 Outstanding Paper Awards for On-site Poster Presentation<\/span> <\/li>\n<li>Akio Kobayashi, Junji Onishi, Hiromitsu Nishizaki, Norihide Kitaoka, &#8220;End-To-End Speech to Braille Translation in Japanese,&#8221; Proceedings of the 2022 IEEE International Conference on Consumer Electronics (ICCE) (ICCE 2022), 2 pages, Jan. 2022, Presented on 7th\/Jan\/2022 by online<\/li>\n<li>Huaijin Deng, Takehito Utsuro, Akio Kobayashi, Hiromitsu Nishizaki, &#8220;COMPARISON OF STATIC AND TIME-SEQUENTIAL FEATURES IN AUTOMATIC FLUENCY DETECTION OF SPONTANEOUS SPEECH,&#8221; Proceedings of the 24th Conference of the Oriental COCOSDA (O-COCOSDA), pp. 158-163, 2021.11, Presented on 19th\/Nov.\/2021 (by online) <\/li>\n<li>Wang Yu, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki, &#8220;ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi,&#8221; Proceedings of the 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), pp.346&#8211;350, 2021.10, Presented on 13th\/Oct.\/2021. (Kyoto-shi, JAPAN) <\/li>\n<li>Toki Sugiura, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki, &#8220;Audio Synthesis-based Data Augmentation Considering Audio Event Class,&#8221; Proceedings of the 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), pp.72&#8211;76, 2021.10, Presented on 12th\/Oct.\/2021. (Kyoto-shi, JAPAN) <\/li>\n<li>Akio Kobayashi, Keiichi Yasu, Hiromitsu Nishizaki, Norihide Kitaoka, &#8220;Corpus Design and Automatic Speech Recognition for Deaf and Hard-Of-Hearing People,&#8221; Proceedings of the 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), pp.17&#8211;18, 2021.10, Presented on 12th\/Oct.\/2021. (Kyoto-shi, JAPAN) <\/li>\n<li>Tatsuyoshi Amemiya, Kodai Akiyama, Chee Siang Leow, Prawit Buayai, Koji Makino, Xiaoyang Mao, and Hiromitsu Nishizaki, &#8220;Development of a Support System for Judging the Appropriate Timing for Grape Harvesting,&#8221; Proceedings of the 2021 International Conference on Cyberworlds (CW2021), pp.194-200, 2021.9, presented by online on 30\/Sep\/2021. <a href=\"https:\/\/doi.org\/10.1109\/CW52790.2021.00040\">DOI: 10.1109\/CW52790.2021.00040<\/a><\/li>\n<li>Prawit Buayai, Kabin Yok-In, Daisuke Inoue, Chee Siang Leow, Hiromitsu Nishizaki, Koji Makino and Xiaoyang Mao, &#8220;End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality,&#8221; Proceedings of the 2021 International Conference on Cyberworlds (CW2021), pp.101-108, 2021.9, presented by online on 30\/Sep\/2021. <a href=\"https:\/\/doi.org\/10.1109\/CW52790.2021.00022\">DOI: 10.1109\/CW52790.2021.00022<\/a><\/li>\n<li>Daisuke Inoue, Prawit Buayai, Hiromitsu Nishizaki, Koji Makino and Xiaoyang Mao, \n&#8220;Supporting Vine Vegetation Status Observation Using AR,&#8221; Proceedings of the 2021 International Conference on Cyberworlds (CW2021), pp.147-150, 2021.9, presented by online on 30\/Sep\/2021. <a href=\"https:\/\/doi.org\/10.1109\/CW52790.2021.00033\">DOI: 10.1109\/CW52790.2021.00033<\/a><\/li>\n<li>Hang Zheng, Yoshimi Suzuki, Jianhui Zhang, Fumiyo Fukumoto and Hiromitsu Nishizaki, \n&#8220;Semi-Supervised Learning for Aspect-Based Sentiment Analysis,&#8221; Proceedings of the 2021 International Conference on Cyberworlds (CW2021), pp.209-212, 2021.9, presented by online on 30\/Sep\/2021. <a href=\"https:\/\/doi.org\/10.1109\/CW52790.2021.00042\">DOI: 10.1109\/CW52790.2021.00042<\/a><\/li>\n<li>Tomoaki Hayakawa, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, and Hiromitsu Nishizaki, &#8220;Language and Speaker-Independent Feature Transformation for End-to-End Multilingual Speech Recognition,&#8221; Proceedings of INTERSPEECH2021, pp.2431-2435, 2021.8, doi:10.21437\/Interspeech.2021-390, Brno, Czech Republic, Presented by online on 2021.9.1 <a href=\"https:\/\/www.isca-speech.org\/archive\/interspeech_2021\/hayakawa21_interspeech.html\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li>\n<li>Yuto Nonaka, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, and Hiromitsu Nishizaki, &#8220;Voice Activity Detection for Live Speech of Baseball Game Based on Tandem Connection with Speech\/Noise Separation Model,&#8221; Proceedings of INTERSPEECH2021, pp.351-355, 2021.8, doi:10.21437\/Interspeech.2021-792, Brno, Czech Republic, Presented by online on 2021.8.31 <a href=\"https:\/\/www.isca-speech.org\/archive\/interspeech_2021\/nonaka21_interspeech.html\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li>\n<\/ul><\/li>\n\n<li><strong>Preprint papers<\/strong>\n<ul>\n<li>Yikang Wang, Hiromitsu Nishizaki, &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2203.15473\">Combination of Time-domain, Frequency-domain, and Cepstral-domain Acoustic Features for Speech Commands Classification<\/a>,&#8221; arXiv preprint, arXiv:2203.16085, pp.1&#8211;5, 2022.03.30 <a href=\"https:\/\/arxiv.org\/pdf\/2203.16085.pdf\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li><\/li>\n<li>Akihiro Dobashi, Chee Siang Leow, Hiromitsu Nishizaki, &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2203.15473\">Frequency-Directional Attention Model for Multilingual Automatic Speech Recognition<\/a>,&#8221; arXiv preprint, arXiv:2203.15473, pp.1&#8211;5,  2022.03.29 <a href=\"https:\/\/arxiv.org\/pdf\/2203.15473.pdf\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li><\/li>\n<li>Hayato Endo, Hiromitsu Nishizaki, &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2110.03511\">Peer Collaborative Learning for Polyphonic Sound Event Detection<\/a>,&#8221; arXiv preprint, arXiv:2111.03511, 2021.11 <a href=\"https:\/\/arxiv.org\/pdf\/2111.03511.pdf\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li>\n<li>Yu Wang, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki, &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2104.01384\">ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi<\/a>,&#8221; arXiv preprint, arXiv:2104.01384, 2021.4 <a href=\"https:\/\/arxiv.org\/pdf\/2104.01384.pdf\"><i class=\"fas fa-file-pdf\"><\/i><\/a><\/li>\n<\/ul><\/li>\n\n<li><strong>\u53e3\u982d\u767a\u8868<\/strong>\n<ul>\n<li>\u9060\u85e4\u98af\u4eba\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;Peer Collaborative Learning\u3092\u7528\u3044\u305f\u97f3\u97ff\u30a4\u30d9\u30f3\u30c8\u533a\u9593\u691c\u51fa&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2022\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-3P-4\uff0cpp.1009-1012, 2022.3.9 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li>\u571f\u6a4b\u6643\u5f18\uff0c\u30ec\u30aa\u30c1\u30fc\u30b7\u30e3\u30f3\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u5468\u6ce2\u6570\u8ef8\u6ce8\u610f\u6a5f\u69cb\u3092\u7528\u3044\u305f\u7279\u5fb4\u5909\u63db\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u8907\u6570\u8a00\u8a9e\u97f3\u58f0\u8a8d\u8b58&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2022\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c2-3P-6\uff0cpp.1109-1112, 2022.3.10 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li>\u5317\u5ddd\u667a\u6a39\uff0c\u30ec\u30aa \u30c1\u30fc\u30b7\u30e3\u30f3\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u6587\u5b57\u8a8d\u8b58\u30e2\u30c7\u30eb\u8a13\u7df4\u306e\u305f\u3081\u306e\u624b\u66f8\u304d\u6587\u5b57\u751f\u6210&#8221;\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c84\u56de\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c7Q-05\uff0cpp.2-275&#8211;2.276\uff0c2022.3.5 \u767a\u8868\uff08\u65bc\uff1a\u30aa\u30f3\u30e9\u30a4\u30f3\uff08\u611b\u5a9b\u5927\u5b66\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\uff09\uff09<\/li>\n<li>\u7893\u4e95\u662d\u535a\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u8305 \u6681\u967d\uff0c\u7267\u91ce\u6d69\u4e8c\uff0c&#8221;\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u7528\u6559\u5e2b\u30c7\u30fc\u30bf\u4f5c\u6210\u306e\u305f\u3081\u306e\u30b7\u30e3\u30a4\u30f3\u30de\u30b9\u30ab\u30c3\u30c8\u7528\u7c21\u6613\u64ae\u5f71\u30d6\u30fc\u30b9\u306e\u958b\u767a&#8221;\uff0c\u7b2c22\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a \u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a\uff08SI2021\uff09\uff0c3B5-05\uff0cpp.2606-2609, 2021.12.17 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<span style=\"color:red;\">\u203b\u512a\u79c0\u8b1b\u6f14\u8cde\u53d7\u8cde<\/span><\/li>\n<li>\u30ec\u30aa \u30c1\u30fc\u30b7\u30e3\u30f3\uff0c\u738b \u5b87\uff0c\u5c0f\u6797\u5f70\u592b\uff0c\u5b87\u6d25\u5442\u6b66\u4ec1\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;Kaldi\u30d9\u30fc\u30b9\u306e\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u97f3\u58f0\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-3Q-4, pp.1033-1036, 2021.9.7 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li>\u6749\u6d66\u6771\u98a8\uff0c\u5c0f\u6797\u5f70\u592b\uff0c\u5b87\u6d25\u5442\u6b66\u4ec1\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u97f3\u97ff\u30bf\u30b0\u4ed8\u3051\u306e\u305f\u3081\u306e\u30a4\u30d9\u30f3\u30c8\u30af\u30e9\u30b9\u3092\u8003\u616e\u3057\u305f\u97f3\u97ff\u5408\u6210\u306b\u57fa\u3065\u304f \u30c7\u30fc\u30bf\u62e1\u5f35&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c1-3Q-5, pp. 1037-1040, 2021.9.7 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li>\u5c0f\u6797\u5f70\u592b\uff0c\u5927\u897f\u6df3\u5150, \u897f\u5d0e\u535a\u5149, \u5317\u5ca1\u6559\u82f1\uff0c&#8221;\u8aad\u307f\u4e0a\u3052\u6587\u3092\u5bfe\u8c61\u3068\u3057\u305fEnd-to-End\u97f3\u58f0\u70b9\u8a33&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c2-3P-3, pp. 1079-1080, 2021.9.8 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li>\u798f\u7530\u82bd\u8863\u5b50\uff0c\u897f\u6751\u826f\u592a\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u5165\u90e8\u767e\u5408\u7d75\uff0c\u5c71\u672c\u4e00\u516c\uff0c\u5317\u5ca1\u6559\u82f1\uff0c&#8221;\u8d85\u9ad8\u9f62\u8005\u97f3\u58f0\u30b3\u30fc\u30d1\u30b9EARS\u306b\u304a\u3051\u308b\u8d85\u9ad8\u9f62\u8005\u306e\u97f3\u97ff\u7684\u7279\u5fb4&#8221;\uff0c\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c2-3P-11, pp. 1105-1108, 2021.9.8 \u767a\u8868\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\uff09<\/li>\n<li><span style=\"color:red;\">\u3010\u62db\u5f85\u8b1b\u6f14\u3011<\/span>\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u6df1\u5c64\u5b66\u7fd2\u6280\u8853\u306e\u767a\u5c55\u3068\u5171\u306b\u6b69\u3080\u97f3\u58f0\u8a8d\u8b58\u7814\u7a76&#8221;\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\uff0c\u4fe1\u5b66\u6280\u6cd5\uff0c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a\uff0cvol. 121, no. 2, NS2021-7, pp. 37-42,2021.4.15, \u30aa\u30f3\u30e9\u30a4\u30f3\u767a\u8868<\/li>\n<\/ul><\/li>\n\n<li><strong>\u7279\u8a31<\/strong><ul><li>\u897f\u5d0e\u535a\u5149\uff0c\u82b1\u7530\u9686\u8cb4\u300c\u8272\u5224\u5b9a\u30b7\u30b9\u30c6\u30e0\u3001\u8272\u5224\u5b9a\u65b9\u6cd5\u304a\u3088\u3073\u3001\u8272\u5224\u5b9a\u30d7\u30ed\u30b0\u30e9\u30e0\u300d\uff0c\u7279\u98582021-146701\uff0c2021\u5e749\u67089\u65e5\u51fa\u9858<\/li><\/ul><\/li>\n\n<li><strong>\u5916\u90e8\u8cc7\u91d1<\/strong><ul><li>\u79d1\u5b66\u7814\u7a76\u8cbb\uff0c\u57fa\u76e4\u7814\u7a76\uff08B\uff09\uff0c\u6388\u696d\u306b\u304a\u3051\u308b\u975e\u8a00\u8a9e\u30e2\u30c0\u30ea\u30c6\u30a3\u30bb\u30f3\u30b7\u30f3\u30b0\u306e\u9ad8\u5ea6\u5316\u306b\u3088\u308b\u60c5\u5831\u4fdd\u969c\u30fb\u6388\u696d\u6539\u5584\u652f\u63f4\u6280\u8853\uff0c\u4ee3\u8868\uff1a\u897f\u5d0e\u535a\u5149\uff0c2021-2024 \u63a1\u629e<\/li><\/ul><\/li>\n\n<li><strong>\u66f8\u7c4d\u30fb\u96d1\u8a8c\u8a18\u4e8b<\/strong>\n<ul>\n<li>\u3010\u89e3\u8aac\u8a18\u4e8b\u3011\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3092\u5206\u6790\u30fb\u5206\u985e\u3059\u308b\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2\u6280\u8853&#8221;\uff0c\u5316\u5b66\u5de5\u696d\uff0cVol.73\uff0cNo.3\uff0cpp.167-173\uff0c2022.3<\/li>\n<li>\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u30b9\u30de\u30fc\u30c8\u30b0\u30e9\u30b9\u3092\u7528\u3044\u305f\u30d6\u30c9\u30a6\u53ce\u7a6b\u652f\u63f4\u30b7\u30b9\u30c6\u30e0&#8221;\uff0c\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u652f\u90e8\u30cb\u30e5\u30fc\u30b9\u30ec\u30bf\u30fc\uff0cNo.51\uff0cp.11\uff0c2022.1<\/li>\n<li><a href=\"https:\/\/www.amazon.co.jp\/dp\/4501334401\/ref=cm_sw_r_tw_dp_1AD2YHGH18XRBKJ516E2 \">\u7267\u91ce\u6d69\u4e8c\uff0c\u897f\u5d0e\u535a\u5149\uff0c&#8221;\uff08\u305f\u306e\u3057\u304f\u3067\u304d\u308b\uff09\u6df1\u5c64\u5b66\u7fd2&amp;\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u96fb\u5b50\u5de5\u4f5c TensorFlow\u7de8&#8221;\uff0c\u6771\u4eac\u96fb\u6a5f\u5927\u51fa\u7248\u5c40\uff0c2021\u5e746\u670821\u65e5\u767a\u58f2<\/a><\/li>\n<li>\u897f\u5d0e\u535a\u5149\uff0c&#8221;\u97f3\u58f0\u8a8d\u8b58\u306e\u4ed5\u7d44\u307f\u304a\u3088\u3073\u73fe\u72b6\u3068\u5c06\u6765\u5c55\u671b&#8221;\uff0c\u6708\u520a\u96fb\u6c17\u8a08\u7b97 2021\u5e745\u6708\u53f7\uff0c\uff08\u682a\uff09\u96fb\u6c17\u66f8\u9662<\/li>\n<\/ul><\/li>\n\n<li><strong>\u5b66\u5916\u6388\u696d\u30fb\u30bb\u30df\u30ca\u30fc<\/strong>\n<ul>\n<li>\u3010\u8b1b\u6f14\u3011\u897f\u5d0e\u535a\u5149\uff0c\u300c\u4eba\u5de5\u77e5\u80fd\u3092\u652f\u3048\u308b\u6280\u8853\u3068\u4eca\u5f8c\u306e\u5c55\u671b\u300d\uff0c\u5c71\u68a8\u770c\u5730\u57dfICT\u63a8\u9032\u5354\u8b70\u4f1a \u5730\u57df\u60c5\u5831\u5316\u8b1b\u6f14\u4f1a\uff0c2022\u5e743\u67088\u65e5\uff08\u706b\uff0914:00\u301c15:10\uff0c\u65bc\uff1a\u30aa\u30f3\u30e9\u30a4\u30f3<\/li>\n<li>\u3010\u8b1b\u6f14\u3011\u897f\u5d0e\u535a\u5149\uff0c\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u63a8\u9032\u30d5\u30a9\u30fc\u30e9\u30e0\u301c\u4eba\u306b\u512a\u3057\u3044\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u301c\u300c\u6df1\u5c64\u5b66\u7fd2\u6280\u8853\u306b\u3088\u308b\u97f3\u58f0\u8a8d\u8b58\u6280\u8853\u306e\u767a\u5c55\u3068\u97f3\u58f0\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u300d\uff0c2022\u5e741\u670826\u65e5(\u6c34) 15:15\u301c15:55\uff0c\u65bc\uff1a\u30aa\u30f3\u30e9\u30a4\u30f3 <\/li>\n<li>\u3010\u30bb\u30df\u30ca\u30fc\u8b1b\u5e2b\u3011\u897f\u5d0e\u535a\u5149\uff0c\u7267\u91ce\u6d69\u4e8c\uff1a\u5c71\u68a8\u5927\u5b66\u30ea\u30ab\u30ec\u30f3\u30c8\u6559\u80b2\u8b1b\u5ea7\u300c\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5fdc\u7528\u30bb\u30df\u30ca\u30fc\uff5e\u753b\u50cf\u30c7\u30fc\u30bf\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff5e\u300d\uff0c2021\u5e7411\u670827\u65e5(\u571f) 10:00\u301c17:30\uff0c\u65bc\uff1a\u5c71\u68a8\u5927\u5b66 <\/li>\n<li>\u3010\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u8b1b\u5e2b\u3011\u897f\u5d0e\u535a\u5149\uff1a\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30fb\u8d85\u77e5\u6027\u30cd\u30c3\u30c8\u30ef\u30fc\u30ad\u30f3\u30b0\u306b\u95a2\u3059\u308b\u5206\u91ce\u6a2a\u65ad\u578b\u7814\u7a76\u4f1a\uff08RISING\u7814\u7a76\u4f1a\uff09\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u8b1b\u6f14 \u300c\u6df1\u5c64\u5b66\u7fd2\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\uff5e\u57fa\u790e\u304b\u3089\u5fdc\u7528\u307e\u3067\uff5e\u300d\uff0c2021\u5e7411\u670815\u65e5(\u6708) 15:30\u301c17:30\uff0c\u65bc\uff1a\u6a5f\u68b0\u632f\u8208\u4f1a\u9928\uff08\u6771\u4eac\uff09 <\/li>\n<li>\u3010\u5b66\u5916\u6388\u696d\u3011\u897f\u5d0e\u535a\u5149\uff1a\u9759\u5ca1\u770c\u7acb\u9759\u5ca1\u57ce\u5317\u9ad8\u7b49\u5b66\u6821\u51fa\u524d\u8b1b\u7fa9\u300c\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u3044\u3046\u6280\u8853\u300d\uff0c2021\u5e7410\u670827\u65e5\uff08\u6c34\uff09\uff0c\u65bc\uff1a\u9759\u5ca1\u770c\u7acb\u9759\u5ca1\u57ce\u5317\u9ad8\u7b49\u5b66\u6821<\/li>\n<li>\u3010\u30bb\u30df\u30ca\u30fc\u8b1b\u5e2b\u3011\u7267\u91ce\u6d69\u4e8c\uff0c\u897f\u5d0e\u535a\u5149\uff1a\u5c71\u68a8\u5927\u5b66\u30ea\u30ab\u30ec\u30f3\u30c8\u6559\u80b2\u8b1b\u5ea7\u300c\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u57fa\u790e\u30bb\u30df\u30ca\u30fc\uff5e\u30c7\u30fc\u30bf\u5206\u6790\u306e\u305f\u3081\u306e\u30a4\u30ed\u30cf\uff5e\u300d\uff0c2021\u5e7410\u670830\u65e5(\u571f) 10:00\u301c17:30\uff0c\u65bc\uff1a\u5c71\u68a8\u5927\u5b66 <\/li>\n<li>\u3010\u30bb\u30df\u30ca\u30fc\u8b1b\u5e2b\u3011\u897f\u5d0e\u535a\u5149\uff0c\u7267\u91ce\u6d69\u4e8c\uff1a\u5c71\u68a8\u5927\u5b66\u30ea\u30ab\u30ec\u30f3\u30c8\u6559\u80b2\u8b1b\u5ea7\u300c\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9ePython\u5165\u9580\u8b1b\u5ea7\u300d\uff0c2021\u5e748\u670821\u65e5(\u571f) 10:00\u301c17:30\uff0c\u65bc\uff1a\u5c71\u68a8\u5927\u5b66 <\/li>\n<li>\u3010\u30bb\u30df\u30ca\u30fc\u8b1b\u5e2b\u3011\u897f\u5d0e\u535a\u5149\uff1a\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a\u30b7\u30e5\u30df\u30ec\u30fc\u30b7\u30e7\u30f3\u30b9\u30af\u30fc\u30eb\u300c\u6df1\u5c64\u5b66\u7fd2\u30cf\u30f3\u30ba\u30aa\u30f3\u300d\uff0c2021\u5e745\u670815\u65e5(\u571f) 9:00\u301c16:00\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3 <\/li>\n<\/ul><\/li>\n\n<li><strong>\u8868\u5f70\u30fb\u5831\u9053\u7b49<\/strong>\n<ul>\n<li>\u7893\u4e95\u662d\u535a\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u8305 \u6681\u967d\uff0c\u7267\u91ce\u6d69\u4e8c\uff0c\u300cSI2021\u512a\u79c0\u8b1b\u6f14\u8cde\u300d\uff08\u53d7\u8cde\u984c\u76ee\uff1a\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u7528\u6559\u5e2b\u30c7\u30fc\u30bf\u4f5c\u6210\u306e\u305f\u3081\u306e\u30b7\u30e3\u30a4\u30f3\u30de\u30b9\u30ab\u30c3\u30c8\u7528\u7c21\u6613\u64ae\u5f71\u30d6\u30fc\u30b9\u306e\u958b\u767a\uff09\u30002021\u5e7412\u670824\u65e5<\/li>\n<li>\u3076\u3069\u3046\u306e\u304a\u3044\u3057\u3055AI\u3067\u201c\u898b\u3048\u308b\u5316\u201d\uff5c\u304a\u306fBiz \u30ad\u30fc\u30ef\u30fc\u30c9\u89e3\u8aac\uff5cNHK NEWS WEB<\/li>\n<li>\u897f\u5d0e\u535a\u5149\uff0c\u300c\u5c71\u68a8\u5927\u5b66\u7814\u7a76\u7279\u5225\u5968\u52b1\u8cde\u300d\uff0c2021\u5e746\u670815\u65e5<\/li>\n<li>\u7267\u91ce\u6d69\u4e8c\uff0c\u897f\u5d0e\u535a\u5149\uff0c\u300c\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u512a\u79c0\u6559\u6750\u8cde\u300d\uff0c2021\u5e746\u67088\u65e5<\/li>\n<\/ul>\n<\/li>\n\n<\/ul>\n\n\n\n<p>\u904e\u53bb\u306e\u7814\u7a76\u6210\u679c\u306f\u3053\u3061\u3089 | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=473\">2021<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=283\">2020<\/a>| <a href=\"https:\/\/www.smgrobo.jp\/?page_id=37\">2019 <\/a>| <a href=\"https:\/\/www.smgrobo.jp\/?page_id=141\">2018<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=171\">2017<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=192\">2016<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=644\">2015<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=664\">2014<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=672\">2013<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=676\">2012<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=679\">2011<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=681\">2010<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=696\">2009<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=699\">2008<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=701\">2007<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=703\">2006<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=705\">2005<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=707\">2004<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=709\">2003<\/a> | <a href=\"https:\/\/www.smgrobo.jp\/?page_id=711\">2002\u4ee5\u524d<\/a> |<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2021\u5e74\u5ea6\u306e\u7814\u7a76\u306b\u95a2\u308f\u308b\u696d\u7e3e\uff08\u7814\u7a76\u767a\u8868\u30fb\u8ad6\u6587\u30fb\u5916\u90e8\u8cc7\u91d1\u30fb\u53d7 &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/pages\/473"}],"collection":[{"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=473"}],"version-history":[{"count":72,"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/pages\/473\/revisions"}],"predecessor-version":[{"id":1158,"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=\/wp\/v2\/pages\/473\/revisions\/1158"}],"wp:attachment":[{"href":"https:\/\/www.smgrobo.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=473"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}