{"id":236,"date":"2023-04-26T15:37:44","date_gmt":"2023-04-26T06:37:44","guid":{"rendered":"https:\/\/wwp.ait.tokushima-u.ac.jp\/yasuno-suzuki-lab-jp\/?page_id=236"},"modified":"2023-04-26T16:07:31","modified_gmt":"2023-04-26T07:07:31","slug":"2017-2021","status":"publish","type":"page","link":"https:\/\/wwp.ait.tokushima-u.ac.jp\/yasuno-suzuki-lab-jp\/?page_id=236","title":{"rendered":"2017-2021"},"content":{"rendered":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"#2021\">2021<\/a><\/li>\n\n\n\n<li><a href=\"#2020\">2020<\/a><\/li>\n\n\n\n<li><a href=\"#2019\">2019<\/a><\/li>\n\n\n\n<li><a href=\"#2018\">2018<\/a><\/li>\n\n\n\n<li><a href=\"#2017\">2017<\/a><\/li>\n<\/ul>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading\" id=\"2021\">2021<\/h4>\n\n\n\n<p><strong>Journal&nbsp;<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/18824889.2021.1894878\">Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Dwi Arman Prasetya, Abd. Rabi\u2019, Deep convolutional long short-term memory for forecasting wind speed and direction, SICE Journal of Control, Measurement, and System Integration, Vol.14, No.2, pp.30-38, 2021<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/25\/4\/25_151\/_article\/-char\/en\">Suguru Uramoto, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Tomato Recognition Algorithm and Grasping Mechanism for Automation of Tomato Harvesting in Facility Cultivation, Journal of Signal Processing, Journal of Signal Processing, Vol.25, No.4, pp.151-154, 2021&nbsp;<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.fujipress.jp\/jrm\/rb\/robot003300040919\/?highlight=Hiroshi%20Suzuki\">Hiroshi Suzuki, Ayaka Sumoto, Takahiro Kitajima, Akinobu Kuwahara, and Takashi Yasuno, Development and Control of Power-Assisted Lumbar Suit Based on Upper-Body Acceleration, Journal of Robotics and Mechatronics, Vol.33, No.4, pp. 919-926, 2021<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>Review<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u91ce\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u98a8\u901f\u30fb\u98a8\u5411\u540c\u6642\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a\u3068\u51fa\u529b\u5236\u5fa1\u3078\u306e\u5fdc\u7528\uff0c\u98a8\u529b\u30a8\u30cd\u30eb\u30ae\u30fc\uff0cVol.45\uff0c\u901a\u5dfb.137\uff0cp.10\uff0c2021<\/li>\n<\/ol>\n\n\n\n<p><strong>International Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Hikaru Homma, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Kinetic Performances of Drive-saving Four-legged robot Using Spring-damper Mechanism, 2021 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201921), No. 2AM1-1-1, pp.194-197, March 2, 2021<\/li>\n\n\n\n<li>Tatsuki Murakami, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Generation of Jumping Motions for Biped Robots Using CPG Networks Tuned by Firefly Algorithm, 2021 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201921), No. 2AM1-1-2, pp.198-201, March 2, 2021<\/li>\n\n\n\n<li>Suguru Uramoto, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Tomato Recognition Algorithm and Grasping Mechanism for Automation of Tomato Harvesting in Facility Cultivation, 2021 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201921), No. 2AM2-2-2, pp.254-257, March 2, 2021<\/li>\n\n\n\n<li>Tatsuro Funai, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Object Tracking Based on Image Feature Extraction and Optical Flow Using In-vehicle Monocular Camera Image, 2021 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201921), No. 2AM2-2-3, pp.258-261, March 2, 2021<\/li>\n\n\n\n<li>Yasufumi Wakita, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Evaluation of Meteorological Satellite Image Prediction Using Retrospective CycleGAN Based on Optical Flow Method, 2021 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201921), No. 2PM1-2-2, pp.290-293, March 2, 2021<\/li>\n<\/ol>\n\n\n\n<p><strong>Domestic Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u9234\u6728\u6d69\u53f8\uff0c\u5c71\u4e2d\u96c4\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u30d0\u30cd\u3068\u9589\u30ea\u30f3\u30af\u6a5f\u69cb\u3092\u6709\u3059\u308b2\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u8df3\u8e8d\u79fb\u52d5\u5236\u5fa1\uff0c2021\u5e74\u96fb\u6c17\u5b66\u4f1a\u7523\u696d\u5fdc\u7528\u90e8\u9580\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.2-S9-7\uff0cpp.II-53-II-58\uff0c\u30cb\u30e5\u30fc\u30aa\u30fc\u30bf\u30cb\u9577\u5ca1\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c8\u670827\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u6cb3\u5185\u667a\u4e5f\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u4ecb\u8b77\u5f93\u4e8b\u8005\u3092\u5bfe\u8c61\u3068\u3057\u305f\u904b\u52d5\u72b6\u614b\u8a08\u6e2c\u306b\u57fa\u3065\u304f\u52d5\u4f5c\u5206\u985e\u30e2\u30c7\u30eb\uff0c2021\u5e74\u96fb\u6c17\u5b66\u4f1a\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.TC3-8\uff0cpp.117-121\uff0c\uff08\u30ea\u30e2\u30fc\u30c8\uff099\u670816\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u79cb\u5c71\u5016\u8f1d\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cFCN\u3092\u7528\u3044\u305f\u8907\u6570\u30d0\u30f3\u30c9\u306e\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306b\u57fa\u3065\u304f\u96f2\u5206\u5e03\u4e88\u6e2c\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-9\uff0cp.52\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u6d66\u5143\u99ff\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u30c8\u30de\u30c8\u81ea\u52d5\u53ce\u7a6b\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u53ce\u7a6b\u6a5f\u69cb\u5236\u5fa1\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-2\uff0cp.75\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u6ff1\u53e3\u4eac\u4f51\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u679c\u6a39\u5712\u9664\u8349\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306eSLAM\u306b\u3088\u308b\u74b0\u5883\u5730\u56f3\u751f\u6210\u7cbe\u5ea6\u306e\u691c\u8a3c\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-3\uff0cp.76\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u5289\u5733\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cVFH\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u672a\u77e5\u74b0\u5883\u3067\u306e\u96fb\u52d5\u8eca\u3044\u3059\u306e\u969c\u5bb3\u7269\u56de\u907f\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-4\uff0cp.77\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u524d\u7530 \u671b\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u6df1\u5ea6\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u30c8\u30de\u30c8\u306e\u4e3b\u830e\u9577\u63a8\u5b9a\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.13-7\uff0cp.139\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u8239\u4e95\u9054\u6717\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u5358\u773c\u8eca\u8f09\u30ab\u30e1\u30e9\u753b\u50cf\u306b\u304a\u3051\u308b\u7279\u5fb4\u70b9\u8ffd\u8de1\u7cbe\u5ea6\u5411\u4e0a\u30d5\u30a3\u30eb\u30bf\u306e\u52b9\u679c\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.13-8\uff0cp.140\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u68ee\u4eae\u592a\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u7b4b\u9aa8\u683c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u652f\u63f4\u306e\u305f\u3081\u306e\u904b\u52d5\u89e3\u6790\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.14-3\uff0cp.165\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u6751\u4e0a\u6a39\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u56db\u5143\u6570\u8868\u73fe\u3068\u8ddd\u96e2\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3092\u4f75\u7528\u3057\u305fFirefly \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff0c\u4ee4\u548c3\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.17-23\uff0cp.202\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c9\u670825\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u79cb\u5c71\u5016\u8f1d\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cFCN\u3092\u7528\u3044\u305f\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306b\u57fa\u3065\u304f\u96f2\u5206\u5e03\u4e88\u6e2c\uff0c\u4ee4\u548c3\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS2\u221224\uff0cpp.185-186\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c12\u670813\u65e5\uff0c2021<\/li>\n\n\n\n<li>\u8107\u7530\u5eb7\u53f2\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cRetrospective CycleGAN\u3092\u7528\u3044\u305f\u6c17\u8c61\u885b\u661f\u753b\u50cf\u4e88\u6e2c\u306b\u57fa\u3065\u304f\u65e5\u5c04\u63a8\u5b9a\uff0c\u4ee4\u548c3\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS2\u221230\uff0cpp.203-204\uff0c\u9999\u5ddd\u5927\u5b66\uff08\u30ea\u30e2\u30fc\u30c8\uff09\uff0c12\u670813\u65e5\uff0c2021<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading\" id=\"2020\">2020<\/h4>\n\n\n\n<p><strong>Journal&nbsp;<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"http:\/\/jurnal.unmer.ac.id\/index.php\/jeemecs\/article\/view\/3946\">Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Dwi Arman Prasetya, PREDICTION MODEL OF WIND SPEED AND DIRECTION USING DEEP NEURAL NETWORK, Journal of Electrical Engineering, Mechatronic and Computer Science, Vol.3, No.1, pp.1-10, 2020<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/24\/4\/24_195\/_article\/-char\/en\">Daichi Horihata, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Takashi Yasuno, Kiyoshi Takigawa, Correction Method for Numerically Forecast Wind Speed Data of MSM-GPV Using CNN, Journal of Signal Processing, Vol.24, No.4, pp.195-198, 2020<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/24\/4\/24_199\/_article\/-char\/en\">Yoshiki Sanada, Hiroshi Suzuki, Tomoki Matsuo, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno, Human-Friendly Safe Driving Support System of Electric Wheelchair for Drift Suppression, Journal of Signal Processing, Vol.24, No.4, pp.199-202, 2020<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>Review<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u7cbe\u5bc6\u30fb\u30b9\u30de\u30fc\u30c8\u8fb2\u696d\u3092\u652f\u3048\u308bICT\u301c\u30b5\u30a4\u30d0\u30fc\u30fb\u30d5\u30a3\u30b8\u30ab\u30eb\u7a7a\u9593\u306e\u878d\u5408\u306b\u3080\u3051\u3066\u301c\uff0c\u7814\u7a76\u958b\u767a\u30ea\u30fc\u30c0\u30fc\uff0cVol.16\uff0cNo.11\uff0cpp.10-14, 2\u6708\u53f7\uff0c2020<\/li>\n\n\n\n<li>\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u74b0\u5883\u5236\u5fa1\u578b\u65bd\u8a2d\u5712\u82b8\u306b\u304a\u3051\u308b\u81ea\u52d5\u6f45\u6c34\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff0c\u5fb3\u5cf6\u5927\u5b66\u6280\u8853\u652f\u63f4\u90e8\u6280\u8853\u5831\u544a\uff0cVol.3\uff0cpp.1-2\uff0c3\u67082\u65e5\uff0c2020<\/li>\n<\/ol>\n\n\n\n<p><strong>International Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mao Toyonaga, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno and Kiyoshi Takigawa, Wind Speed Prediction Model by Convolutional Neural Network Using Optical Flow of Clouds, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 29AM2-1-1, pp.57-60, Honolulu, Hawaii, USA, Feb. 29, 2020<\/li>\n\n\n\n<li>Daichi Horihata, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno and Kiyoshi Takigawa, Correction Method for Numerical Forecast Wind Speed Data of MSM-GPV Using CNN, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 29AM2-1-2, pp.61-64, Honolulu, Hawaii, USA, Feb. 29, 2020<\/li>\n\n\n\n<li>Masanori Tanabe, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno and Kiyoshi Takigawa, Prediction Model of Satellite Cloud Images Using PredNet, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 29PM2-1-1, pp.195-198, Honolulu, Hawaii, USA, Feb. 29, 2020<\/li>\n\n\n\n<li>Seigo Kajikawa, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno and Kiyoshi Takigawa, Nowcasting of Solar Radiation Using CNN with Changing Input Range of Meteorological Satellite Image, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 29PM2-1-5, pp.210-213, Honolulu, Hawaii, USA, Feb. 29, 2020<\/li>\n\n\n\n<li>Yoshiki Sanada, Hiroshi Suzuki, Tomoki Matsuo, Akinobu Kuwahara,<br>Takahiro Kitajima, and Takashi Yasuno, Human Friendly Safe Driving Support System of Electric Wheelchair Based on Acceleration Information, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 2AM1-2-3, pp.461-464, Honolulu, Hawaii, USA, March. 2, 2020<\/li>\n\n\n\n<li>Yotaro Oki, Hiroshi Suzuki, Kenji Yamanaka, Akinobu Kuwahara, and Takashi Yasuno, Driver Assistance Control Based on Recognition of Road Conditions, 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201920), No. 2AM1-2-4, pp.465-468, Honolulu, Hawaii, USA, March. 2, 2020<\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9240261\">Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Dwi Arman Prasetya,&nbsp;and Abd. Rab, Prediction of Wind Speed and Direction using Encoding \u2013 forecasting Network with Convolutional Long Short-term Memory, Proceedings of the SICE Annual Conference 2020, September 23-26, Chiang Mai, Thailand, 2020<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9314474\">Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Dwi Arman Prasetya, Nachrowie, Prediction Model of Wind Speed and Direction using Convolutional Neural Network \u2013 Long Short Term Memory, 2020 IEEE International Conference on Power and Energy (PECon), pp.358-363, Dec. 7-8, 2020<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>Technical Meeting, Symposium, and Workshop<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Zhen Liu\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u771f\u7530\u4f73\u6a39\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u6539\u826f\u578bRRT\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u96fb\u52d5\u8eca\u6905\u5b50\u306e\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\uff0c\u96fb\u6c17\u5b66\u4f1a\u5236\u5fa1\u7814\u7a76\u4f1a\uff0cNo.CT-20-108\uff0cpp.55-59\uff0c\u5fb3\u5cf6\u6587\u7406\u5927\u5b66\uff0c2020\u5e7410\u670818\u65e5<\/li>\n\n\n\n<li>\u5b89\u91ce\u5353\uff0c\u6851\u539f\u660e\u4f38\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6728\u6751\u304b\u304a\u308b\uff0c\u7be0\u5bae\u6075\u5b50\uff0c\u7530\u4e2d\u80b2\u7f8e\uff0c\u5c71\u672c\u9ebb\u8cb4\uff0c\u5e7c\u5150\u671f\u306b\u304a\u3051\u308b\u7406\u79d1\u6559\u80b2\u306e\u5b9f\u8df5\u3068\u305d\u306e\u52b9\u679c\uff0c\u96fb\u6c17\u5b66\u4f1a\u6559\u80b2\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u7814\u7a76\u4f1a\uff0cNo.FIE-20-016\uff0cpp.5-10\uff0cWeb\u958b\u50ac\uff0c2020\u5e7412\u670812\u65e5<\/li>\n<\/ol>\n\n\n\n<p><strong>Domestic Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5317\u5cf6\u5b5d\u5f18\uff0c\u5c71\u4e0b\u667a\u53f2\uff0c\u5ca9\u8107\u53cb\u4e5f\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9ad8\u4e95\u4e45\u53f8\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce \u5353\uff0c\u30ec\u30fc\u30b6\u30b9\u30ad\u30e3\u30ca\u3092\u7528\u3044\u305f\u8fb2\u4f5c\u696d\u652f\u63f4\u306e\u305f\u3081\u306e\u4eba\u8ffd\u5f93\u578b\u30ed\u30dc\u30c3\u30c8\u53f0\u8eca\u306e\u958b\u767a\uff0c\u7b2c7\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u30de\u30eb\u30c1\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0cNo.2G1-2\uff0c\u5fb3\u5cf6\u5927\u5b66\u5e38\u4e09\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\uff0c3\u67082\u65e5\u301c5\u65e5\uff0c2020<\/li>\n\n\n\n<li>\u7530\u9089\u96c5\u5178\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cPredNet\u3092\u7528\u3044\u305f\u885b\u661f\u96f2\u753b\u50cf\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u5165\u529b\u753b\u50cf\u306e\u6642\u9593\u7bc4\u56f2\u304c\u4e88\u6e2c\u7cbe\u5ea6\u306b\u53ca\u307c\u3059\u5f71\u97ff\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-1\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u68b6\u6cb3\u7701\u543e\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306b\u57fa\u3065\u304fCNN\u3092\u7528\u3044\u305f\u65e5\u5c04\u91cf\u63a8\u5b9a\u306b\u304a\u3051\u308b\u9678\u5730\u60c5\u5831\u306e\u63a8\u5b9a\u7cbe\u5ea6\u306b\u4e0e\u3048\u308b\u5f71\u97ff\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-2\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u8c4a\u6c38\u771e\u592e\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u6728\u6751\u5b5d\u4e4b\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u96f2\u306e\u30aa\u30d7\u30c6\u30a3\u30ab\u30eb\u30d5\u30ed\u30fc\u3092\u5165\u529b\u306b\u7528\u3044\u305fCNN\u306b\u3088\u308b\u98a8\u901f\u4e88\u6e2c\u7cbe\u5ea6\u306e\u6539\u5584\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-3\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u5800\u7551\u5927\u5730\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u6728\u6751\u5b5d\u4e4b\uff0c\u7027\u5ddd\u559c\u7fa9\uff0cCNN\u3092\u7528\u3044\u305f\u6570\u5024\u4e88\u5831\u98a8\u901f\u30c7\u30fc\u30bf\u88dc\u6b63\u30e2\u30c7\u30eb\u306e\u88dc\u6b63\u5bfe\u8c61\u30a8\u30ea\u30a2\u306e\u5927\u304d\u3055\u304c\u88dc\u6b63\u7cbe\u5ea6\u306b\u53ca\u307c\u3059\u5f71\u97ff\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-4\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u8107\u7530\u5eb7\u53f2\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306e\u4e88\u6e2c\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-5\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>Anggraini Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Prediction of Wind Speed and Direction by Deep One-dimensional Convolutional Neural Network,&nbsp;2020 SHIKOKU-SECTION JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS, No.3-6, EHIME UNIV., 2020<\/li>\n\n\n\n<li>\u9f4b\u85e4\u9686\u4e4b\u4ecb\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u30c8\u30de\u30c8\u683d\u57f9\u30cf\u30a6\u30b9\u306b\u304a\u3051\u308b\u6e29\u6e7f\u5ea6\u7a7a\u9593\u5206\u5e03\u306e\u53ef\u8996\u5316\u3068\u50be\u5411\u5206\u6790\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.7-7\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u5289\u5733\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cRRT\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u96fb\u52d5\u8eca\u6905\u5b50\u306e\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-3\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u771f\u7530\u4f73\u6a39\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u96fb\u52d5\u8eca\u3044\u3059\u306e\u659c\u9762\u8d70\u884c\u6642\u306b\u304a\u3051\u308b\u7247\u6d41\u308c\u6291\u5236\u5236\u5fa1\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-4\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u8239\u4e95\u9054\u6717\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u7dca\u6025\u8eca\u4e21\u306e\u8d70\u8def\u78ba\u4fdd\u306e\u305f\u3081\u306e\u8eca\u3005\u9593\u901a\u4fe1\u306b\u57fa\u3065\u304f\u81ea\u52d5\u904b\u8ee2\u8eca\u4e21\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-5\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u672c\u9593\u5149\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u6851\u539f\u660e\u4f38\uff0c\u30d0\u30cd-\u30c0\u30f3\u30d1\u3092\u7528\u3044\u305f\u7701\u99c6\u52d5\u578b4\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u904b\u52d5\u6027\u80fd\u306b\u95a2\u3059\u308b\u57fa\u790e\u7684\u691c\u8a0e\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-6\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u6751\u4e0a\u6a39\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0cCPG\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u30d0\u30cd-\u30c0\u30f3\u30d1\u3068\u9589\u30ea\u30f3\u30af\u6a5f\u69cb\u3092\u6709\u3059\u308b2 \u811a\u30ed\u30dc\u30c3\u30c8\u306e\u8df3\u8e8d\u5236\u5fa1\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-7\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u6c96\u6d0b\u592a\u6717\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u5c71\u4e2d\u5efa\u4e8c\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0cHaar-like\u7279\u5fb4\u3068\u8eca\u8f09\u30ab\u30e1\u30e9\u753b\u50cf\u3092\u7528\u3044\u305f\u9053\u8def\u4e0a\u306e\u5074\u6e9d\u691c\u51fa\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.13-23\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u6d66\u5143\u99ff\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u30c8\u30de\u30c8\u53ce\u7a6b\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u6df1\u5ea6\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u679c\u5b9f\u8a8d\u8b58\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff0c\u4ee4\u548c2\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.13-24\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2020<\/li>\n\n\n\n<li>\u5317\u5cf6\u5b5d\u5f18\uff0c\u68b6\u6cb3\u7701\u543e\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u6df1\u5c64\u5b66\u7fd2\u3068\u6c17\u8c61\u885b\u661f\u753b\u50cf\u3092\u7528\u3044\u305f\u5730\u4e0a\u65e5\u5c04\u91cf\u63a8\u5b9a\u6cd5\u306e\u57fa\u790e\u7684\u691c\u8a0e\uff0c\u65e5\u672c\u592a\u967d\u30a8\u30cd\u30eb\u30ae\u30fc\u5b66\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.70\uff0cpp.231-234\uff0c2020<\/li>\n\n\n\n<li>Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Forecasting Model of Wind Speed and Direction using CNN-CLSTM, \u4ee4\u548c2\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a, No.PS1-18\uff0cRemote Conference (Anan National College of Technology), Dec. 12, 2020<\/li>\n\n\n\n<li>\u771f\u7530\u4f73\u6a39\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u96fb\u52d5\u8eca\u3044\u3059\u306e\u305f\u3081\u306e\u7247\u6d41\u308c\u6291\u5236\u5236\u5fa1\u3068\u305d\u306e\u8a55\u4fa1\u624b\u6cd5\u306e\u691c\u8a0e\uff0c\u4ee4\u548c2\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS2-02\uff0c\u9060\u9694\u4f1a\u8b70\uff08\u963f\u5357\u9ad8\u5c02\uff09\uff0c12\u670812\u65e5\uff0c2020<\/li>\n\n\n\n<li>\u8107\u7530\u5eb7\u53f2\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cRetrospective CycleGAN\u3092\u7528\u3044\u305f\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306e\u6642\u7cfb\u5217\u4e88\u6e2c\uff0c\u4ee4\u548c2\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS2-12\uff0c\u9060\u9694\u4f1a\u8b70\uff08\u963f\u5357\u9ad8\u5c02\uff09\uff0c12\u670812\u65e5\uff0c2020<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading\" id=\"2019\">2019<\/h4>\n\n\n\n<p><strong>Journal<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/23\/4\/23_197\/_article\/-char\/en\">Yu Yamanaka, Hiroshi Suzuki, Takashi Yasuno, Jumping Movement of Biped Robot Using Closed Link Legs and Spring Mechanism, Journal of Signal Processing, Vol.23, No.4, pp.197-200, 2019<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/23\/4\/23_201\/_article\/-char\/en\">Satoshi Yamashita, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Takashi Yasuno,Autonomous Traveling Control of Agricultural Mobile Robot Using Depth Camera in Greenhouse, Journal of Signal Processing, Vol.23, No.4, pp.201-204, 2019&nbsp;&nbsp;<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.atlantis-press.com\/journals\/jrnal\/125926254\">Hiroshi Suzuki, Tomoki Matsuo, Takashi Yasuno, Influence of Safe Driving Support System for Electric Wheelchair on Operation Input, Journal of Robotics, Networking and Artificial Life, Vol.6, No.3, pp.171 \u2013 178, December 2019<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>Review<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u91ce\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u8179\u5ca1\u5841\uff0c\u5fb3\u5cf6\u5927\u5b66\u7406\u5de5\u5b66\u90e8\u5236\u5fa1\u5fdc\u7528\u5de5\u5b66\u7814\u7a76\u5ba4\u306e\u7814\u7a76\u7d39\u4ecb\uff0c\u65e5\u672c\u98a8\u529b\u30a8\u30cd\u30eb\u30ae\u30fc\u5b66\u4f1a\u8a8c\uff0cVol.43\uff0cNo.3\uff0cpp.505\u2212508\uff0e2019<\/li>\n<\/ol>\n\n\n\n<p><strong>International Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Rui Fukuoka, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno and Kiyoshi Takigawa, Prediction of RapidWind Speed Fluctuation by LSTM Using Observed Data of Multiple Points, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 5AM2-3-3, pp.76-79, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n\n\n\n<li>Satoshi Yamashita, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima and Takashi Yasuno, Autonomous Traveling Control of Agricultural Mobile Robot<br>using Depth Camera in Greenhouse, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 5PM1-1-1, pp.88-91, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n\n\n\n<li>Kodai Kato, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima and Takashi Yasuno, Motion Control of 2-link Robot Manipulator with Simple Bi-articular Muscle Mechanism, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 5PM1-1-2, pp.92-95, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n\n\n\n<li>Yu Yamanaka, Hiroshi Suzuki, and Takashi Yasuno, Jumping Movement of Biped Robot Using Closed Link Legs and Spring Mechanism, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 5PM1-1-4, pp.100-103, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n\n\n\n<li>Yuki Emoto, Hiroshi Suzuki, Ayaka Sumoto, Akinobu Kuwahara, Takahiro Kitajima, Mito Kori and Takashi Yasuno, Quantitative Analysis of Knee-Joints Burden of Nursing Care Motion in Case of UsingWaist-Joint Power Assistive Orthosis, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 5PM1-1-5, pp.104-107, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n\n\n\n<li>Naoto Fujioka, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara,<br>Takashi Yasuno, and Kiyoshi Takigawa, Cloud Image Prediction Using Fully-Convolutional Neural Network with 3D-CNN and 2D-CNN, 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201919), No. 7AM2-1-2, pp.402-405, Honolulu, Hawaii, USA, March 5, 2019<\/li>\n<\/ol>\n\n\n\n<p><strong>Technical Meeting, Symposium, and Workshop<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6c5f\u672c\u52c7\u8cb4\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9808\u672c\u5f69\u6708\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u4ecb\u8b77\u7528\u8170\u95a2\u7bc0\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u30b9\u30fc\u30c4\u88c5\u7740\u6642\u306e\u4e0b\u80a2\u904b\u52d5\u3078\u306e\u5f71\u97ff\u89e3\u6790\uff0c\u96fb\u6c17\u5b66\u4f1a\u5236\u5fa1\u7814\u7a76\u4f1a\uff0cNo.CT-19-067\uff0cpp.31-36\uff0c\u5fb3\u5cf6\u6587\u7406\u5927\u5b66\uff0c2019\u5e743\u670823\u65e5<\/li>\n\n\n\n<li>\u6c5f\u672c\u52c7\u8cb4\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9808\u672c\u5f69\u6708\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u4e0a\u4f53\u52a0\u901f\u5ea6\u60c5\u5831\u306b\u57fa\u3065\u304f\u6d0b\u821e\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u30b9\u30fc\u30c4\u306e\u30a2\u30b7\u30b9\u30c8\u5236\u5fa1\uff0c\u4fe1\u5b66\u6280\u6cd5\uff0cNo.MBE2019-25(2019-07)\uff0cpp.33-38\uff0c\u5fb3\u5cf6\u5927\u5b66\uff0c2019\u5e747\u670820\u65e5<\/li>\n\n\n\n<li>\u771f\u7530\u4f73\u6a39\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u677e\u5c3e\u53cb\u6689\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u96fb\u52d5\u8eca\u6905\u5b50\u306e\u305f\u3081\u306e\u4eba\u9593\u89aa\u548c\u578b\u5b89\u5168\u904b\u8ee2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\uff0c\u96fb\u6c17\u5b66\u4f1a\u5236\u5fa1\u7814\u7a76\u4f1a\uff0cNo.CT-19-114\uff0cpp.3-8\uff0c\u30b3\u30d9\u30eb\u30b3\u5efa\u6a5f\u4e94\u65e5\u5e02\u5de5\u5834\uff0c2019\u5e748\u670823\u65e5<\/li>\n<\/ol>\n\n\n\n<p><strong>Domestic Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u571f\u5c4b \u8015\u4f5c\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u5bfa\u7530 \u8ce2\u6cbb\uff0c\u30c8\u30de\u30c8\u53ce\u7a6b\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u53ce\u7a6b\u5bfe\u8c61\u9078\u5b9a\u30b7\u30b9\u30c6\u30e0\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.13-12\uff0cp.141\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u5800\u7551 \u5927\u5730\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd \u559c\u7fa9\uff0cDeep Neural Network\u3092\u7528\u3044\u305f\u6570\u5024\u4e88\u5831\u98a8\u901f\u30c7\u30fc\u30bf\u306e\u88dc\u6b63\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-1\uff0cp.46\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u8179\u5ca1 \u5841\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u6851\u539f \u660e\u4f38\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd \u559c\u7fa9\uff0cLSTM\u3092\u7528\u3044\u305f\u98a8\u901f\u306e\u6025\u5909\u52d5\u4e88\u6e2c\u306b\u57fa\u3065\u304f\u98a8\u901f\u4e88\u6e2c\u7cbe\u5ea6\u6539\u5584\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-2\uff0cp.47\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u68b6\u6cb3 \u7701\u543e\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd \u559c\u7fa9\uff0c\u6c17\u8c61\u885b\u661f\u753b\u50cf\u306b\u57fa\u3065\u304fCNN\u3092\u7528\u3044\u305f\u65e5\u5c04\u91cf\u63a8\u5b9a\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-3\uff0cp.48\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u7530\u9089 \u96c5\u5178\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd \u559c\u7fa9\uff0cLSTM\u3092\u7528\u3044\u305f\u65e5\u5c04\u91cf\u4e88\u6e2c\u30e2\u30c7\u30eb\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-4\uff0cp.49\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u8c4a\u6c38 \u771e\u592e\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd \u559c\u7fa9\uff0c\u6c17\u56e3\u5224\u5225\u753b\u50cf\u3092\u7528\u3044\u305f\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u98a8\u901f\u4e88\u6e2c\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-5\uff0cp.50\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u771f\u7530 \u4f73\u6a39\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u6851\u539f \u660e\u4f38\uff0c\u5b89\u91ce \u5353\uff0c\u659c\u9762\u8d70\u884c\u6642\u306b\u304a\u3051\u308b\u96fb\u52d5\u8eca\u3044\u3059\u306e\u7247\u6d41\u308c\u63a8\u5b9a\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-4\uff0cp.73\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>\u6c96 \u6d0b\u592a\u6717\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5b89\u91ce \u5353\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u6851\u539f \u660e\u4f38\uff0c\u8def\u9762\u72b6\u6cc1\u8a8d\u8b58\u306b\u57fa\u3065\u304f\u81ea\u52d5\u904b\u8ee2\u8eca\u4e21\u306e\u8d70\u884c\u5236\u5fa1\uff0c\u5e73\u621031\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-5\uff0cp.74\uff0c\u65b0\u5c45\u6d5c\u9ad8\u5c02\uff0c2019<\/li>\n\n\n\n<li>Anggraini Puspita Sari, Hiroshi Suzuki, Rui Fukuoka, Takahiro Kitajima, Takashi Yasuno, Prediction Model of Wind Speed and Direction using Convolutional Neural Network, \u4ee4\u548c\u5143\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS2_05(SO2_05)\uff0c\u9ad8\u77e5\u5de5\u696d\u9ad8\u7b49\u5c02\u9580\u5b66\u6821\uff0c12\u67087\u65e5\uff0c2019<\/li>\n\n\n\n<li>\u571f\u5c4b \u8015\u4f5c\uff0c\u9234\u6728 \u6d69\u53f8\uff0c\u5317\u5cf6 \u5b5d\u5f18\uff0c\u5b89\u91ce \u5353\uff0c\u5bfa\u7530 \u8ce2\u6cbb\uff0c\u30c8\u30de\u30c8\u53ce\u7a6b\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u679c\u5b9f\u500b\u5225\u691c\u51fa\u306b\u3088\u308bX\u30fcY table\u306e\u4f4d\u7f6e\u5236\u5fa1, \u4ee4\u548c\u5143\u5e74\u5ea6\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0cNo.PS1_05(SO1_05)\uff0c\u9ad8\u77e5\u5de5\u696d\u9ad8\u7b49\u5c02\u9580\u5b66\u6821\uff0c12\u67087\u65e5\uff0c2019<\/li>\n\n\n\n<li>\u85e4\u5ca1\u76f4\u4eba\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u7573\u307f\u8fbc\u307fLSTM\u3092\u7528\u3044\u305f\u6c17\u8c61\u885b\u661f\u96f2\u753b\u50cf\u306e\u77ed\u6642\u9593\u5148\u4e88\u6e2c\uff0c\u7b2c24\u56de\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cpp.57-60\uff0c\u9ad8\u77e5\u5de5\u79d1\u5927\u5b66\u6c38\u56fd\u5bfa\u30ad\u30e3\u30f3\u30d1\u30b9\uff0c12\u670814\u65e5\uff0c2019<\/li>\n\n\n\n<li>\u8179\u5ca1 \u5841\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce \u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u5206\u4f4d\u70b9\u56de\u5e30\u3092\u7528\u3044\u305f\u98a8\u901f\u4e88\u6e2c\u306e\u4e88\u6e2c\u533a\u9593\u63a8\u5b9a\uff0c\u7b2c24\u56de\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cpp.61-62\uff0c\u9ad8\u77e5\u5de5\u79d1\u5927\u5b66\u6c38\u56fd\u5bfa\u30ad\u30e3\u30f3\u30d1\u30b9\uff0c12\u670814\u65e5\uff0c2019<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading\" id=\"2018\">2018<\/h4>\n\n\n\n<p><strong>Journal&nbsp;<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/22\/4\/22_207\/_article\/-char\/en\">Rui Fukuoka, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Takashi Yasuno,&nbsp;Wind Speed Prediction Model Using LSTM and 1D-CNN,&nbsp;Journal of Signal Processing, Vol.22, No.4, pp.207-210, 2018<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/22\/4\/22_211\/_article\/-char\/en\">Tomoki Matsuo, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Hisashi Takai, Takashi Yasuno,&nbsp;Safe Driving Support System for Electric Wheelchair Based on Time to Collision and Degree of Danger, Journal of Signal Processing, Vo.22, No.4, pp.211-214, 2018<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/22\/4\/22_215\/_article\/-char\/en\">Yuya Iwawaki, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Hisashi Takai, Takashi Yasuno, Autonomous Traveling Control of Crawler-Type Mobile Robot for Supporting Agricultural Work,&nbsp;Journal of Signal Processing, Vol.22, No.4, pp.215-218, 2018<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong><u>Books<\/u><\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u91ce\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u74b0\u5883\u306e\u8a08\u6e2c\u30fb\u4e88\u6e2c\u30fb\u5236\u5fa1\u3068\u9632\u9664\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\uff0c\u4eba\u5de5\u77e5\u80fd\u306e\u5c0e\u5165\u306b\u3088\u308b\u751f\u7523\u6027\uff0c\u52b9\u7387\u6027\u306e\u5411\u4e0a\uff0c\u65b0\u88fd\u54c1\u958b\u767a\u3078\u306e\u6d3b\u7528\uff08\u5206\u7b46\uff09\uff0c\u6280\u8853\u60c5\u5831\u5354\u4f1a\uff0c\u7b2c11\u7ae0\uff0c\u7b2c7\u7bc0\uff0cNo.2\uff0cpp.429-437\uff0c2018<\/li>\n\n\n\n<li><a href=\"https:\/\/www.intechopen.com\/online-first\/vision-based-tactile-paving-detection-method-in-navigation-systems-for-visually-impaired-persons\/\">Anuar Mohamed Kassim, Yasuno Takashi, Hiroshi Suzuki, Mohd Shahrieel Mohd Aras, Ahmad Zaki Hj. Shukor, Hazriq Izzuan Jaafar and Fairul Azni Jafar, Vision-Based Tactile Paving Detection Method in Navigation Systems for Visually Impaired Persons, Navigation Systems, IntechOpen Book Chapter, Nov., 2018<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong><u>Review<\/u><\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9ad8\u4e95\u4e45\u53f8\uff0c\u8fb2\u696d\u652f\u63f4\u306e\u305f\u3081\u306e\u81ea\u5f8b\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u53f0\u8eca\u306e\u958b\u767a\uff0cVo.1\uff0cpp.15-16\uff0c2\u670826\u65e5\uff0c2018<\/li>\n<\/ol>\n\n\n\n<p><strong>International Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Rui Fukuoka, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara and Takashi Yasuno, Wind Speed Prediction Model Using LSTM and 1D-CNN, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 5AM1-3-2, pp.45-48, Honolulu, Hawaii, USA, March 5, 2018<\/li>\n\n\n\n<li>Kosuke Okumoto, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, and Kiyoshi Takigawa, Satellite Cloud Image Prediction Model Using Convolutional Neural Network, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 5AM1-3-4, pp.53-56, Honolulu, Hawaii, USA, March 5, 2018<\/li>\n\n\n\n<li>Tomoki Matsuo, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Hisashi Takai and Takashi Yasuno, Safety-driving Support System for Electric Wheelchair Based on Time-to-collision and Danger-degree, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 6AM1-3-1, pp.287-290, Honolulu, Hawaii, USA, March 6, 2018<\/li>\n\n\n\n<li>Kohei Komatsu, Hiroshi Suzuki ,Takahiro Kitajima and Takashi Yasuno, On-time Cruising Algorithm Using Vehicle Dynamics and Obstacle Avoidance for Self-driving, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 6AM1-3-2, pp.291-294, Honolulu, Hawaii, USA, March 6, 2018<\/li>\n\n\n\n<li>Yuya Iwawaki, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Hisashi Takai and Takashi Yasuno, Autonomous Traveling Control of Crawler-type Mobile Robot for Supporting Agricultural Works, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 6AM1-3-3, pp.295-298, Honolulu, Hawaii, USA, March 6, 2018<\/li>\n\n\n\n<li>Ayaka Sumoto, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima, Hisashi Takai and Takashi Yasuno, Mechanistic Influence Analysis of Power Assist Orthosis for Human Body Using Simple Digital Human Model, 2018 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP\u201918), No. 7AM2-3-4, pp.596-599, Honolulu, Hawaii, USA, March 7, 2018<\/li>\n<\/ol>\n\n\n\n<p><strong>Technical Meeting, Symposium, and Workshop<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u91ce\u5353\uff0c\u30e2\u30ce\u4f5c\u308a\u306e\u7acb\u5834\u304b\u3089\u306e\u4eba\u9593\u652f\u63f4\u306e\u53d6\u308a\u7d44\u307f\uff0c\u7b2c20\u56de\u5fb3\u5cf6\u8133\u5352\u4e2d\u7814\u7a76\u4f1a\u6284\u9332\u96c6\uff0cNo.I-\u2463\uff0c\u5fb3\u5cf6\u5927\u5b66\uff0c2\u670818\u65e5\uff0c2018<\/li>\n\n\n\n<li>\u674e\u7199\u73cd\uff0c\u4e2d\u6fa4\u7fd4\u592a\uff0c\u9ad8\u4e95\u4e45\u53f8\uff0c\u9808\u672c\u5f69\u6708\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u30c7\u30b8\u30bf\u30eb\u30d2\u30e5\u30fc\u30de\u30f3\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u52d5\u529b\u5b66\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u57fa\u3065\u304f\u8170\u95a2\u7bc0\u7528\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u88c5\u5177\u306e\u958b\u767a\uff0c\u96fb\u6c17\u5b66\u4f1a\u5236\u5fa1\u7814\u7a76\u4f1a\uff0cNo.CT-18-107\uff0c\u5fb3\u5cf6\u5927\u5b66\uff0c7\u670828\u65e5\uff0c2018<\/li>\n\n\n\n<li>\u8179\u5ca1\u5841\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u98a8\u6cc1\u30de\u30c3\u30d7\u306b\u57fa\u3065\u304fLSTM\u3092\u7528\u3044\u305f\u591a\u5730\u70b9\u5165\u529b\u578b\u98a8\u901f\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u306e\u4e88\u6e2c\u7cbe\u5ea6\u6539\u5584\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf\uff0c\u7b2c40\u56de\u98a8\u529b\u30a8\u30cd\u30eb\u30ae\u30fc\u5229\u7528\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u4e88\u7a3f\u96c6\uff0cpp.203-206\uff0c\u79d1\u5b66\u6280\u8853\u9928\uff0c12\u67085\u65e5\uff0c2018<\/li>\n<\/ol>\n\n\n\n<p><strong>Domestic Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u8179\u5ca1\u5841\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u591a\u5730\u70b9\u306e\u89b3\u6e2c\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f LSTM \u306b\u3088\u308b\u98a8\u901f\u4e88\u6e2c\u30e2\u30c7\u30eb\uff0c\u5e73\u621030\u5e74\u96fb\u6c17\u5b66\u4f1a\u96fb\u529b\u30fb\u30a8\u30cd\u30eb\u30ae\u30fc\u90e8\u9580\u5927\u4f1a\u4e88\u7a3f\u96c6\uff0cNo.P58\uff0cpp.95-96\uff0c\u5fb3\u5cf6\u5927\u5b66\uff0c9\u670812\u65e5\uff0c2018<\/li>\n\n\n\n<li>\u85e4\u5ca1\u76f4\u4eba\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0c\u6df1\u5c64\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u96f2\u753b\u50cf\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u4eee\u60f3\u96f2\u753b\u50cf\u3092\u7528\u3044\u305f\u5b66\u7fd2\u624b\u6cd5\uff0c\u5e73\u621030\u5e74\u96fb\u6c17\u5b66\u4f1a\u96fb\u529b\u30fb\u30a8\u30cd\u30eb\u30ae\u30fc\u90e8\u9580\u5927\u4f1a\u4e88\u7a3f\u96c6\uff0cNo.P60\uff0cpp.99-100\uff0c\u5fb3\u5cf6\u5927\u5b66\uff0c9\u670812\u65e5\uff0c2018<\/li>\n\n\n\n<li>\u8179\u5ca1\u5841\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u7027\u5ddd\u559c\u7fa9\uff0cDeep Neural Network\u3092\u7528\u3044\u305f\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306b\u3088\u308b\u98a8\u901f\u306e\u6025\u5909\u52d5\u4e88\u6e2c\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-8\uff0cp.42\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u5965\u672c\u5149\u7950\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0c\u591a\u5730\u70b9\u753b\u50cf\u3092\u5b66\u7fd2\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u3057\u305f\u885b\u661f\u96f2\u753b\u50cf\u4e88\u6e2c\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-9\uff0cp.43\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u6c5f\u672c\u52c7\u8cb4\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u819d\u95a2\u7bc0\u7528\u88c5\u5177\u8a2d\u8a08\u306e\u305f\u3081\u306e\u7c21\u6613\u8a08\u6e2c\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u305f\u904b\u52d5\u89e3\u6790\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.7-6\uff0cp.55\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u677e\u5c3e\u53cb\u6689\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c\u96fb\u52d5\u8eca\u3044\u3059\u7528\u5b89\u5168\u904b\u8ee2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u5f8c\u9032\u6642\u8d70\u884c\u7279\u6027\u958b\u767a\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-2\uff0cp.64\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u9808\u672c\u5f69\u6708, \u9234\u6728\u6d69\u53f8\uff0c\u674e\u7199\u73cd\uff0c\u5b89\u91ce\u5353\uff0c\u52a0\u901f\u5ea6\u30bb\u30f3\u30b5\u306b\u3088\u308b\u8170\u95a2\u7bc0\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u88c5\u5177\u306e\u30a2\u30b7\u30b9\u30c8\u30bf\u30a4\u30df\u30f3\u30b0\u63a8\u5b9a\u6cd5\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-3\uff0cp.65\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u5c71\u4e2d\u96c4, \u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0c2\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u4e0a\u4f53\u59ff\u52e2\u5236\u5fa1\u306b\u3088\u308b\u76f4\u7acb\u5b89\u5b9a\u5316\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-4\uff0cp.66\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u5c71\u4e0b\u667a\u53f2\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u5353\uff0c\u591a\u76ee\u7684\u8fb2\u4f5c\u696d\u652f\u63f4\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u81ea\u5f8b\u8d70\u884c\u5236\u5fa1\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-5\uff0cp.67\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n\n\n\n<li>\u85e4\u5ca1\u76f4\u4eba\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5b89\u91ce\u5353\uff0cDeep Q-Network\u3092\u7528\u3044\u305f\u30a8\u30a2\u30db\u30c3\u30b1\u30fc\u30ed\u30dc\u30c3\u30c8\u306e\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u5b66\u7fd2\uff0c\u5e73\u621030\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.8-6\uff0cp.68\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2018<\/li>\n<\/ol>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading\" id=\"2017\">2017<\/h4>\n\n\n\n<p><strong>Journal&nbsp;<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/21\/4\/21_175\/_article\">Naoki Nakao, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Takashi Yasuno, Path Planning and Traveling Control for Pesticide-Spraying Robot in Greenhouse, Journal of Signal Processing, Vol. 21, No. 4, pp.175-178, July 2017<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/21\/4\/21_179\/_article\">Tomohito Uchiyama, Hiroshi Suzuki, Takashi Yasuno, Flexibility Evaluation of Action Control Rule for Autonomous Multiple Mobile Robots Based on Decision-Making Function for Panel Cruising Problem, Journal of Signal Processing, Vol.21, No.4, pp.179-182, July 2017<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsp\/21\/4\/21_183\/_article\">Shogo Yoshida, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Prediction of Wind Speed Fluctuation Using Deep Belief Network with Ensemble Learning Method, Journal of Signal Processing, Vol.21, No.4, pp.183-186, July 2017<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/thesai.org\/Publications\/ViewPaper?Volume=8&amp;Issue=8&amp;Code=IJACSA&amp;SerialNo=54\">Heejin Lee, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Takashi Yasuno, Multiple Vehicles Semi-Self-driving System Using GNSS Coordinate Tracking under Relative Position with Correction Algorithm, International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, pp.418-426, 2017<\/a>&nbsp;Vol. 10 (2016) &nbsp;No. 7 &nbsp;p. JAMDSM0094<\/li>\n<\/ol>\n\n\n\n<p><strong>Review<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.gijutu.co.jp\/doc\/magazine\/R_2017_04.htm\">\u5b89\u91ce\u5353\uff0c\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u74b0\u5883\u306e\u8a08\u6e2c\u30fb\u4e88\u6e2c\u30fb\u5236\u5fa1\u3068\u8fb2\u85ac\u6563\u5e03\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\uff0c\u7814\u7a76\u958b\u767a\u30ea\u30fc\u30c0\u30fc\uff0cNo.133\uff0cpp.21-25, 4\u6708\u53f7\uff0c2017<\/a><\/li>\n<\/ol>\n\n\n\n<p><strong>International Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Kyohei Toriu, Hiroshi Suzuki and Takashi Yasuno, Parameter Search of CPG Model Coupled Two DC Motors Using PSO, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3AM1-1-3, pp.505-508, Guam, USA, March 3rd, 2017<\/li>\n\n\n\n<li>Tomohito Uchiyama, Hiroshi Suzuki and Takashi Yasuno, Flexibility Evaluation of Action Control Rule for Autonomous Multiple Mobile Robots Based on Decision-making Function for Panel Cruising Problem, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3AM1-1-4, pp.509-512, Guam, USA, March 3rd, 2017<\/li>\n\n\n\n<li>Naoki Nakao, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, and Takashi Yasuno, Path Planning and Traveling Control for Pesticide Spraying Robot in Greenhouse, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3AM2-1-4, pp.557-560, Guam, USA, March 3rd, 2017<\/li>\n\n\n\n<li>Shota Nakazawa, Hiroshi Suzuki, Akinobu Kuwahara, Takahiro Kitajima and Takashi Yasuno, Measurement Accuracy Verification of Kinect Using Motion Measurement Orthosis for Teleoperation-type Nursing-care Robot, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3AM2-1-5, pp.561-567, Guam, USA, March 3rd, 2017<\/li>\n\n\n\n<li>Shogo Yoshida, Hiroshi Suzuki, Takahiro Kitajima, and Takashi Yasuno, Prediction of Wind Speed Fluctuation Using Deep Belief Network with Ensemble Learning Method, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3PM1-1-4, pp.613-616, Guam, USA, March 3rd, 2017<\/li>\n\n\n\n<li>Takahiro Kitajima, Shogo Yoshida, Hiroshi Suzuki, and Takashi Yasuno, Sign Prediction of Wind Speed Change by Support Vector Machine, 2017 RISP International Workshop on Nonlinear Circuits,&nbsp;Communications and Signal Processing (NCSP\u201917), No. 3PM1-1-5, pp.617-620, Guam, USA, March 3rd, 2017<\/li>\n<\/ol>\n\n\n\n<p><strong>Technical Meeting, Symposium, and Workshop<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4e2d\u6fa4\u7fd4\u592a\uff0c\u5b89\u5c45\u62d3\u4e5f\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9ad8\u4e95\u4e45\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u3000\u5353\uff0c\u4eba\u4f53\u306e\u52d5\u529b\u5b66\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u8170\u95a2\u7bc0\u7528\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u88c5\u5177\u306e\u8a2d\u8a08\u3068\u8a55\u4fa1\uff0c\u96fb\u6c17\u5b66\u4f1a\u5236\u5fa1\u7814\u7a76\u4f1a\u8cc7\u6599\uff0cNo.CT-17-053\uff0cpp.25-30\uff0c\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff0c6\u670824\u65e5\uff0c2017<\/li>\n\n\n\n<li>Anuar MOHAMED KASSIM, Hiroshi SUZUKI, Takashi YASUNO, Mohd SHAHRIEEL MOHD ARAS, Mohd ZAMZURI ABDUL RASHID, Performance Evaluation of Obstacle Detection System at Upper Body Level for Visually Impaired Person through Field Test, IEICE Technical Report, No.MBE2017-30, pp.63-68, July 29, Tokushima University, 2017<\/li>\n<\/ol>\n\n\n\n<p><strong>Domestic Conference<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u3000\u5353\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5c71\u4e2d\u5efa\u4e8c\uff0c\u6851\u539f\u660e\u4f38\uff0c\u6f06\u539f\u53f2\u6717\uff0c\u5b89\u91ce\u6075\u5b9f\u5b50\uff0c\u52a0\u6cbb\u82b3\u96c4\uff0c\u6cb3\u7530\u6df3\u6cbb\uff0c\u91dc\u91ce\u52dd\uff0c\u66fd\u5229\u4ec1\uff0c\u592a\u826f\u5c3e\uff0c\u56db\u56fd\u79fb\u52d5\u578b\uff06\u81ea\u5f8b\u578b\u30ed\u30dc\u30c3\u30c8\u30c8\u30fc\u30ca\u30e1\u30f3\u30c8\uff08SMART\uff09\u306b\u304a\u3051\u308bLEGO Mindstorms\u3092\u7528\u3044\u305f\u30e2\u30ce\u3065\u304f\u308a\u6559\u80b2\u306b\u3064\u3044\u3066\uff0c\u6559\u80b2\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02017\uff0cNo.12\uff0c\u5fb3\u5cf6\u5927\u5b66\u7406\u5de5\u5b66\u90e8\uff0c3\u67087\u65e5\uff0c2017<\/li>\n\n\n\n<li>\u9808\u672c\u5f69\u6708\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u9ad8\u4e95\u4e45\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u6851\u539f\u660e\u4f38\uff0c\u5b89\u91ce\u3000\u5353\uff0c\u52d5\u529b\u5b66\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u305f\u30d1\u30ef\u30fc\u30a2\u30b7\u30b9\u30c8\u88c5\u5177\u306e\u4eba\u4f53\u306b\u4e0e\u3048\u308b\u529b\u5b66\u7684\u5f71\u97ff\u89e3\u6790\uff0c\u5e73\u621029\u5e74\u96fb\u6c17\u5b66\u4f1a\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u5927\u4f1a\uff0cNo.TC12-8\uff0cpp.536-541\uff0c2017<\/li>\n\n\n\n<li>\u5409\u7530\u5320\u543e\uff0c\u9234\u6728\u6d69\u53f8\uff0c\u5317\u5cf6\u5b5d\u5f18\uff0c\u5b89\u91ce\u5353\uff0cDeep Belief Network\u3092\u7528\u3044\u305f\u98a8\u901f\u5897\u6e1b\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u3088\u308b\u5b66\u7fd2\u30c7\u30fc\u30bf\u69cb\u7bc9\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf\uff0c\u5e73\u621029\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u56db\u56fd\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cNo.3-5\uff0cp.47\uff0c\u611b\u5a9b\u5927\u5b66\uff0c2017<\/li>\n\n\n\n<li>Heejin Lee, Hiroshi Suzuki, Takahiro Kitajima, Akinobu Kuwahara, Takashi Yasuno,&nbsp;GNSS Coordinate Correction Algorithm for Self-driving Using Vehicle Dynamics, 2017 SHIKOKU-SECTION JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS, No.7-7, p.63, Ehime University, 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