{"id":131,"date":"2023-09-16T17:11:54","date_gmt":"2023-09-16T08:11:54","guid":{"rendered":"http:\/\/msiplab.eng.niigata-u.ac.jp\/?page_id=131"},"modified":"2025-03-19T18:45:35","modified_gmt":"2025-03-19T09:45:35","slug":"disasterprevention","status":"publish","type":"page","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/projects\/disasterprevention","title":{"rendered":"\u9632\u707d\u6280\u8853"},"content":{"rendered":"<p><\/p>\n<h1>\u9632\u707d\u306e\u305f\u3081\u306e\u7570\u6587\u91ce\u878d\u5408\u7814\u7a76<\/h1>\n<ul>\n<li><a href=\"https:\/\/www.niigata-u.ac.jp\/wp-content\/uploads\/2024\/08\/kakenhinews11.pdf\">\u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.11<\/a><\/li>\n<li><a href=\"https:\/\/www.niigata-u.ac.jp\/wp-content\/uploads\/2022\/07\/kakenhi_news_no7.pdf\">\u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.7<\/a><\/li>\n<li><a href=\"https:\/\/www.niigata-u.ac.jp\/wp-content\/uploads\/2021\/08\/kakenhi_news02_fix.pdf\">\u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.2<\/a><\/li>\n<\/ul>\n<h2>\u672c\u7814\u7a76\u306e\u6982\u8981<\/h2>\n<p>MSIP Lab\u3067\u306f\u30012016\u5e74\u3088\u308a\u6cb3\u5ddd\u3092\u81ea\u5f8b\u7684\u306b\u5236\u5fa1\u3059\u308b\u65b0\u6280\u8853\u306e\u958b\u767a\u3092\u76ee\u7684\u3068\u3059\u308b\u7570\u5206\u91ce\u878d\u5408\u306e\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u3042\u308bARCE(Autonomous River Control Engineering)\u3092\u958b\u59cb\u3057\u307e\u3057\u305f\u3002\u7570\u5206\u91ce\u878d\u5408\u306e\u7814\u7a76\u4f53\u5236\u3092\u6d3b\u304b\u3057\u3001\u5404\u5206\u91ce\u306e\u30a8\u30ad\u30b9\u30d1\u30fc\u30c8\u306e\u77e5\u898b\u3092\u53d6\u308a\u5165\u308c\u305f\u6700\u5148\u7aef\u306e\u7814\u7a76\u3092\u76ee\u7684\u3068\u3057\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0b\u3067\u306fMSIP Lab \u72ec\u81ea\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u3042\u308b<\/p>\n<ul>\n<li>\u6cb3\u5e8a\u3068\u5730\u76e4\u306e\u5909\u52d5\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u89e3\u660e\u3068\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u7814\u7a76<\/li>\n<li>\u6cb3\u5ddd\u306e\u86c7\u884c\u306e\u30b5\u30a4\u30d0\u30fc\u30d5\u30a3\u30b8\u30ab\u30eb\u30b7\u30b9\u30c6\u30e0\uff08CPS\uff09\u306b\u3088\u308b\u5236\u5fa1\u306e\u7814\u7a76<\/li>\n<li>\u6cb3\u5ddd\u306e\u30b0\u30e9\u30d5\u69cb\u9020\u3092\u5229\u7528\u3057\u305f\u5927\u898f\u6a21\u6c34\u4f4d\u5206\u5e03\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a<\/li>\n<\/ul>\n<p>\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>\u672c\u7814\u7a76\u6210\u679c\u306f\uff0c\u4ee5\u4e0b\u306e\u79d1\u7814\u8cbb\u3001\u52a9\u6210\u91d1\u306e\u652f\u63f4\u3092\u53d7\u3051\u3066\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-24K21314\/\">\u30c7\u30fc\u30bf\u99c6\u52d5\u306b\u3088\u308b\u6cb3\u9053\u7db2\u6c34\u4f4d\u306e\u4e00\u4f53\u5236\u5fa1\u3078\u306e\u6311\u6226\uff1a\u6709\u5411\u30b0\u30e9\u30d5\u69cb\u9020\u4e0a\u306e\u52d5\u529b\u5b66\u30e2\u30c7\u30ea\u30f3\u30b0<\/a>\u00a0\u00a0\u4ee3\u8868\uff1a\u6751\u677e\u6b63\u543e\u3001\u79d1\u7814\u8cbb\u6311\u6226\u7684\u7814\u7a76(\u958b\u62d3)\uff09<\/li>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-22H00512\/\">\u52d5\u7684\u30b7\u30b9\u30c6\u30e0\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u5c40\u6240\u69cb\u9020\u5316\u30e6\u30cb\u30bf\u30ea\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u63a5\u7a7a\u9593\u5b66\u7fd2<\/a>\uff08\u4ee3\u8868\uff1a\u6751\u677e\u6b63\u543e\u3001\u79d1\u7814\u8cbb\u57fa\u76e4\u7814\u7a76(A)\uff09<\/li>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-19H04135\/\">\u9ad8\u6b21\u5143\u4fe1\u53f7\u5fa9\u5143\u306e\u305f\u3081\u306e\u69cb\u9020\u5316\u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/a>\uff08\u4ee3\u8868\uff1a\u6751\u677e\u6b63\u543e\u3001\u79d1\u7814\u8cbb\u57fa\u76e4\u7814\u7a76(B)\uff09<\/li>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-19K22026\/\">\u6d41\u8def\u5065\u5168\u6027\u306e\u4fdd\u5168\u30fb\u56de\u5fa9\u3092\u76ee\u7684\u3068\u3059\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u306e\u6cb3\u9053\u80fd\u52d5\u5236\u5fa1\u6cd5<\/a>\uff08\u4ee3\u8868\uff1a\u6751\u677e\u6b63\u543e\u3001\u79d1\u7814\u8cbb\u6311\u6226\u7684\u7814\u7a76(\u840c\u82bd)\uff09<\/li>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-21H04596\/\">\u81ea\u7136\u6cd5\u5247\u306b\u57fa\u3065\u304f\u5b89\u5b9a\u6027\u6cb3\u9053\u3068\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u306e\u6cb3\u9053\u306e\u4e88\u77e5\u4fdd\u5168\u6cd5\u306b\u3088\u308b\u6cb3\u5ddd\u306e\u591a\u91cd\u6027\u5411\u4e0a<\/a>\uff08\u4ee3\u8868\uff1a\u5b89\u7530\u6d69\u4fdd \u3001\u79d1\u7814\u8cbb\u57fa\u76e4\u7684\u7814\u7a76(A)\uff09<\/li>\n<li><a href=\"https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-20K20543\/\">X\u30d0\u30f3\u30c9\u30ec\u30fc\u30c0\u3068\u30c7\u30fc\u30bf\u99c6\u52d5\u306e\u878d\u5408\u306b\u3088\u308b\u9ad8\u5206\u89e3\u80fd\u304b\u3064\u591a\u5143\u7684\u306a\u6d2a\u6c34\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u5275\u51fa<\/a>\uff08\u4ee3\u8868\uff1a\u5b89\u7530\u6d69\u4fdd \u3001\u79d1\u7814\u8cbb\u6311\u6226\u7684\u7814\u7a76(\u958b\u62d3)\uff09<\/li>\n<\/ul>\n<h2>\u6cb3\u5e8a\u3084\u5730\u76e4\u306e\u5909\u52d5\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u89e3\u660e\u3068\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u7814\u7a76<\/h2>\n<p>\u8a08\u6e2c\u6280\u8853\u306e\u767a\u5c55\u306b\u3088\u308a\u591a\u69d8\u304b\u3064\u81a8\u5927\u306a\u4fe1\u53f7\u304c\u53d6\u5f97\u53ef\u80fd\u3068\u308a\u307e\u3057\u305f\u3002\u540c\u6642\u306b\uff0c\u8907\u96d1\u306a\u52d5\u7684\u30b7\u30b9\u30c6\u30e0\u306e\u7406\u89e3\u3068\u4e88\u6e2c\uff0c\u5236\u5fa1\u3078\u306e\u8981\u6c42\u304c\u9ad8\u307e\u3063\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u8981\u6c42\u306b\u5fdc\u3048\u308b\u305f\u3081\u306b\u306f\uff0c\u5bfe\u8c61\u3068\u306a\u308b\u7269\u7406\u73fe\u8c61\u3092\u7684\u78ba\u306b\u8868\u73fe\u3067\u304d\u308b\u30e2\u30c7\u30eb\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002\u672c\u7814\u7a76\u3067\u306f\uff0c\u30d5\u30a3\u30eb\u30bf\u30d0\u30f3\u30af\u7406\u8ad6\u3092\u6d3b\u7528\u3057\u305f\uff0c\u30c7\u30fc\u30bf\u99c6\u52d5\u306b\u3088\u308b\u6cb3\u5e8a\u3084\u5730\u76e4\u306e\u5909\u52d5\u306e\u6642\u9593\u767a\u5c55\u5f0f\u306e\u5c0e\u51fa\u306e\u7814\u7a76\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<h3>\u7814\u7a76\u6210\u679c<\/h3>\n<h4>\u56fd\u969b\u4f1a\u8b70<\/h4>\n<ul>\n<li>Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Shunsuke Ono, Masahiro Yukawa:\u00a0<strong>Convolutional-Sparse-Coded Dynamic Mode Decompsition and Its Application to River State Estimation,\u00a0<\/strong><em>Proc. of 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em>, pp.1872-1876, May 2019<\/li>\n<li>Eisuke Kobayashi, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Shunsuke Ono, Shogo Muramatsu:<strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10096452\">\u00a0Multi-resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling<\/a>,\u00a0<\/strong><em>Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em><em>\u00a0<\/em>, June\u00a02023<\/li>\n<li>C. Zhang, E. Kobayashi, D. Moteki, H. Yasuda, K. Hayasaka, S. Muramatsu:\u00a0<strong>Performance Evaluation of MR-CSC-DMD in River Model Experiment with Groynes<\/strong>,\u00a0<em>Proc. of ITC-CSCC2023,\u00a0<\/em>June 2023<\/li>\n<\/ul>\n<h4>\u56fd\u5185\u5b66\u4f1a<\/h4>\n<ul>\n<li>\u4f0a\u90f7\u606d\u5e73\uff0c\u6751\u677e\u6b63\u543e\uff0c\u5b89\u7530\u6d69\u4fdd\uff0c\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09<strong>\u30b9\u30d1\u30fc\u30b9\u8868\u73fe\u306b\u3088\u308b\u6cb3\u5e8a\u72b6\u614b\u63a8\u5b9a\u306e\u691c\u8a0e<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u8d8a\u652f\u90e8\u5927\u4f1a\u30012017\u5e7410\u67087\u65e5<\/li>\n<li>\u5b89\u5eb7\uff0c\u6751\u677e \u6b63\u543e\uff0c\u5b89\u7530 \u6d69\u4fdd\uff0c\u65e9\u5742 \u572d\u53f8\uff1a<b>\u6cb3\u5e8a\u72b6\u614b\u63a8\u5b9a\u306e\u305f\u3081\u306e\u6c34\u9762\u89b3\u6e2c\u30e2\u30c7\u30eb\u306e\u691c\u8a0e<\/b>\uff0c\u96fb\u6c17\u5b66\u4f1a\u6771\u4eac\u652f\u90e8\u65b0\u6f5f\u652f\u6240\u5927\u4f1a\uff0c\u65b0\u6f5f\uff0c<em>2017\u5e7411\u670811\u65e5<\/em><\/li>\n<li>\u4f0a\u90f7\u606d\u5e73\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u30b8\u30fc\u30f3 \u30c1\u30e7\u30f3\uff08NII\uff09\uff0c<strong>\u00a0\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u30c7\u30fc\u30bf\u5206\u6790<\/strong>\uff0c<em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u62d3\u5927\u6587\u4eac\u30ad\u30e3\u30f3\u30d1\u30b9<\/em>\uff0c2018\u5e748\u6708<\/li>\n<li>\u91d1\u5b50\u4f91\u5e73\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09\uff0c<strong>\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u72b6\u614b\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u30e2\u30c7\u30ea\u30f3\u30b0<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\uff0c\u91d1\u6ca2\u5927\u5b66\uff0c2018\u5e749\u6708<\/li>\n<li>\u6751\u677e\u6b63\u543e, \u5b89\u7530\u6d69\u4fdd, \u65e9\u5742\u572d\u53f8, \u5927\u7af9\u96c4, \u5c0f\u91ce\u5cfb\u4f51, \u6e6f\u5ddd\u6b63\u88d5, <strong>\u7573\u8fbc\u307f\u30b9\u30d1\u30fc\u30b9\u7b26\u53f7\u5316\u3092\u5229\u7528\u3057\u305f\u62e1\u5f35\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3,<\/strong>\u00a0\u7b2c33\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u6771\u4eac\u96fb\u6a5f\u5927\u5b66\uff0c2018\u5e7411\u67086-8\u65e5<\/li>\n<li>\u91d1\u5b50 \u4f91\u5e73\uff0c\u6751\u677e \u6b63\u543e\uff0c\u5b89\u7530 \u6d69\u4fdd\uff0c\u65e9\u5742 \u572d\u53f8\uff0c\u5927\u7af9 \u96c4\uff08\u65b0\u6f5f\u5927\uff09\uff0c\u5c0f\u91ce \u5cfb\u4f51\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\uff0c\u6e6f\u5ddd \u6b63\u88d5\uff08\u6176\u61c9\u7fa9\u587e\u5927\u5b66\uff09\uff0c<strong>\u6ce2\u52d5\u73fe\u8c61\u3092\u8003\u616e\u3057\u305f\u7573\u307f\u8fbc\u307f\u30b9\u30d1\u30fc\u30b9\u7b26\u53f7\u5316\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5e8a\u72b6\u614b\u63a8\u5b9a<\/strong>\uff0c\u7b2c34\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u3068\u308a\u304e\u3093\u6587\u5316\u4f1a\u9928\uff0c2019\u5e7411\u6708<\/li>\n<li>\u65b0\u4e95\u88d5\u4ecb\u30fb\u91d1\u5b50\u4f91\u5e73\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\u30fb\u5927\u7af9\u3000\u96c4\uff08\u65b0\u6f5f\u5927\uff09:<strong>\uff3b\u30dd\u30b9\u30bf\u30fc\u8b1b\u6f14\uff3d\u6c34\u5236\u306e\u6a21\u578b\u5b9f\u9a13\u306b\u3088\u308b\u7573\u307f\u8fbc\u307f\u30b9\u30d1\u30fc\u30b9\u7b26\u53f7\u5316\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306e\u6027\u80fd\u8a55\u4fa1\uff0c<\/strong>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u6c96\u7e04\uff0c2020\u5e743\u6708\uff08COVID-19\u306b\u3088\u308a\u4e2d\u6b62\uff09<\/li>\n<li>Godage YASAS, Shogo MURAMATSU: <a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20220826VCMh\/\"><strong>Locally-Structured Unitary Network to Capture Tangent Spaces of Manifold<\/strong><\/a>\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 165, SIP2022-75, pp. 129-133, 2022\u5e748\u6708.<\/li>\n<li>\u5c0f\u6797 \u6804\u88d5\uff0c\u6751\u677e \u6b63\u543e\uff0c\u5b89\u7530\u6d69 \u4fdd\uff0c\u65e9\u5742 \u572d\u53f8\uff1a<a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20220825ECM8\/\"><strong>\u7573\u307f\u8fbc\u307f\u30b9\u30d1\u30fc\u30b9\u7b26\u53f7\u5316\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306e\u591a\u91cd\u89e3\u50cf\u5ea6\u5316\u3068\u305d\u306e\u6cb3\u5e8a\u72b6\u614b\u63a8\u5b9a\u3078\u306e\u5fdc\u7528<\/strong><\/a>\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 165, SIP2022-54, pp. 25-30, 2022\u5e748\u6708.<\/li>\n<li>\u5ca1\u672c\u5145\u751f\u30fb\u5927\u539f\u7531\u6689\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\uff1a<a href=\"https:\/\/www.ite.or.jp\/ken\/paper\/20230721bAl1\/\"><strong>\u5168\u5909\u52d5\u6b63\u5247\u5316\u306b\u3088\u308b\u30de\u30a4\u30af\u30ed\u6ce2\u30ec\u30fc\u30c0\u6cb3\u5ddd\u89b3\u6e2c\u753b\u50cf\u5fa9\u5143<\/strong><\/a>\uff0c\u6620\u60c5\u5b66\u6280\u5831, vol. 47, no. 20, ME2023-62, pp. 1-4, 2023\u5e747\u6708.<\/li>\n<\/ul>\n<h2>\u6cb3\u5ddd\u306e\u86c7\u884c\u306e\u30b5\u30a4\u30d0\u30fc\u30d5\u30a3\u30b8\u30ab\u30eb\u30b7\u30b9\u30c6\u30e0\uff08CPS\uff09\u306b\u3088\u308b\u5236\u5fa1\u306e\u7814\u7a76<\/h2>\n<div>\n<div>\u5927\u898f\u6a21\u306a\u6cb3\u5ddd\u707d\u5bb3\u306b\u3088\u308a\u4eba\u547d\u3068\u793e\u4f1a\u8cc7\u7523\u306e\u640d\u5931\u304c\u7e70\u308a\u8fd4\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u767a\u707d\u6642\u306e\u907f\u96e3\u7d4c\u8def\u306e\u78ba\u4fdd\u3068\u767a\u707d\u5f8c\u306e\u65e9\u671f\u5fa9\u8208\u306e\u305f\u3081\u306b\u3082\u4ea4\u901a\u7db2\u306a\u3069\u91cd\u8981\u30a4\u30f3\u30d5\u30e9\u306e\u88ab\u5bb3\u3092\u6700\u5c0f\u5316\u3057\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u307e\u3059\u3002\u305d\u3053\u3067\u3001\u6d41\u8def\u5065\u5168\u6027\u306e\u4fdd\u5168\u3068\u56de\u5fa9\u306e\u305f\u3081\u306e\u6cb3\u9053\u80fd\u52d5\u5236\u5fa1\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3059\u3002\u60c5\u5831\u5b66\uff0c\u6cb3\u5ddd\u5de5\u5b66\uff0c\u5730\u76e4\u5de5\u5b66\uff0c\u7269\u7406\u5b66\u306e\u7570\u5206\u91ce\u878d\u5408\u7814\u7a76\u4f53\u5236\u3067\uff0c\u6cb3\u5ddd\u707d\u5bb3\u4e88\u9632\u306e\u305f\u3081\u306e\u30b5\u30a4\u30d0\u30fc\u30fb\u30d5\u30a3\u30b8\u30ab\u30eb\u30fb\u30b7\u30b9\u30c6\u30e0(CPS)\u3092\u5275\u51fa\u3057\u307e\u3059\u3002\u30bb\u30f3\u30b5\u30fc\u7fa4\u306b\u3088\u308b\u60c5\u5831\u53ce\u96c6\uff0c\u8a08\u7b97\u6a5f\u306b\u3088\u308b\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff0c\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u7fa4\u306b\u3088\u308b\u80fd\u52d5\u7684\u6c34\u5236\u306e\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u30fb\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3057\u3066\u3044\u307e\u3059\u3002<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<h3>\u7814\u7a76\u6210\u679c<\/h3>\n<p><span style=\"font-size: 1rem; font-weight: 800;\">\u56fd\u969b\u4f1a\u8b70<\/span><\/p>\n<ul>\n<li>Weihang Liao, Gene Cheung, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka,\u00a0<strong>Graph Learning &amp; Fast Transform Coding of 3D River Data<\/strong>,\u00a0<em>Proc. of APSIPA Annual Summit and Conf.\uff0cpp.1313-1317, Nov. 2018<\/em><\/li>\n<li>Dongqi Liu, Yutaka Naito, Chen Zhang, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka and Yu Otake:\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9551113\"><strong>River Flow Path Control with Reinforcement Learning<\/strong><\/a>,\u00a0<em>Proc. of 2021 IEEE International Conference on Autonomous Systems (ICAS)<\/em>, pp.212-216,\u00a0 Aug. 2021<\/li>\n<li>Yuki TAKAHASHI, Shogo MURAMATSU, Hiroyasu YASUDA, Kiyoshi HAYASAKA, Yu OTAKE:\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9897196\"><strong>Flow-path Fitting from Images with Fourier Basis for River Health Assessment<\/strong><\/a>,\u00a0<em>Proc. of 2022 IEEE International Conference on Image Processing (ICIP)<\/em>, Bordeaux, Oct. 2022<\/li>\n<\/ul>\n<h4>\u56fd\u5185\u5b66\u4f1a<\/h4>\n<ul>\n<li>\u5185\u85e4\u52c7\u9df9\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9\u3000\u96c4\uff08\u6771\u5317\u5927\uff09\uff1a<strong>\u6cb3\u5ddd\u6d41\u8def\u5909\u52d5\u306e\u89e3\u660e\u3068\u5236\u5fa1\u306e\u305f\u3081\u306e\u30b5\u30a4\u30d0\u30fc\u30d5\u30a3\u30b8\u30ab\u30eb\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u30b7\u30b9\u30c6\u30e0\u69cb\u7bc9\uff0c<\/strong>\u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a\uff08\u30b5\u30de\u30fc\u30bb\u30df\u30ca\u30fc2020\uff09\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2020\u5e749\u6708<\/li>\n<li>\u4e95\u4e0a\u5927\u8f1d\u30fbZhang Chen\u30fbLiu Dongqi\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9\u3000\u96c4\uff08\u6771\u5317\u5927\uff09\uff0c<a href=\"https:\/\/www.ite.or.jp\/ken\/paper\/20210903jAjn\/\"><strong>\u6cb3\u9053\u80fd\u52d5\u5236\u5fa1CPS\u306e\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u69cb\u7bc9\u306e\u305f\u3081\u306e\u6d41\u8def\u5065\u5168\u6027\u6307\u6a19\u306e\u691c\u8a0e<\/strong><\/a>\u00a0\uff0c\u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a\uff08\u30b5\u30de\u30fc\u30bb\u30df\u30ca\u30fc2021\uff09\uff0cME2021-78 \uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\u5e749\u6708<\/li>\n<li>ZHANG CHEN\u30fb\u5185\u85e4 \u52c7\u9df9\u30fb\u6751\u677e \u6b63\u543e\u30fb\u5b89\u7530 \u6d69\u4fdd\u30fb\u65e9\u5742 \u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9 \u96c4\uff08\u6771\u5317\u5927\uff09\uff1a<strong>\u6cb3\u9053\u80fd\u52d5\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\u306e\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u69cb\u7bc9, <\/strong>2021\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\u5e743\u6708<\/li>\n<li>\u9ad8\u6a4b \u52c7\u5e0c\u30fb\u5b89\u7530 \u6d69\u4fdd\u30fb\u65e9\u5742 \u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9 \u96c4\uff08\u6771\u5317\u5927\uff09\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09:\u00a0<strong>\u6cb3\u5ddd\u6d41\u8def\u5236\u5fa1CPS\u306e\u305f\u3081\u306e\u30d5\u30fc\u30ea\u30a8\u57fa\u5e95\u306b\u3088\u308b\u6cb3\u5ddd\u5065\u5168\u6027\u8a55\u4fa1\u6cd5\u00a0<\/strong>2021\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\u5e743\u6708<\/li>\n<li>\u4e8c\u6751\u78a9\u54c9\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\uff1a<a href=\"https:\/\/www.ite.or.jp\/ken\/paper\/20230721vAlb\/\"><strong>\u6cb3\u9053\u80fd\u52d5\u5236\u5fa1\u30b5\u30a4\u30d0\u30fc\u30d5\u30a3\u30b8\u30ab\u30eb\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u30d7\u30e9\u30f3\u30c8\u30e2\u30c7\u30eb\u306e\u691c\u8a0e<\/strong><\/a>\uff0c \u6620\u60c5\u5b66\u6280\u5831, vol. 47, no. 20, ME2023-63, pp. 5-8, 2023\u5e747\u6708.<\/li>\n<li>\u5f35\u3000\u6668\u30fb\u9ad8\u6a4b\u52c7\u5e0c\u30fb\u8302\u6728\u5927\u77e5\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09\uff1a<a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20230809kCWt\/\"><strong>\u6cb3\u5ddd\u6d41\u8def\u5909\u52d5\u30e1\u30ab\u30cb\u30ba\u30e0\u89e3\u660e\u306e\u305f\u3081\u306e\u6c34\u5236\u518d\u914d\u7f6e\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9<\/strong><\/a>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30af\u30e9\u30a6\u30c9\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30ed\u30dc\u30c3\u30c8\u7814\u7a76\u4f1a\uff0c\u672d\u5e4c\u5e02\uff0c2023\u5e747\u6708<\/li>\n<\/ul>\n<h2>\u6cb3\u5ddd\u306e\u30b0\u30e9\u30d5\u69cb\u9020\u3092\u5229\u7528\u3057\u305f\u5927\u898f\u6a21\u6c34\u4f4d\u5206\u5e03\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a<\/h2>\n<p>\u672c\u7814\u7a76\u3067\u306f\uff0c\u6709\u5411\u30b0\u30e9\u30d5\u4fe1\u53f7\u51e6\u7406\u306e\u65b0\u4f53\u7cfb\u3092\u78ba\u7acb\u3057\uff0c\u6cb3\u5ddd\u306e\u6c34\u4f4d\u5206\u5e03\u3092\u7ba1\u7406\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u6709\u5411\u30b0\u30e9\u30d5\u4e0a\u306e\u52d5\u529b\u5b66\u30e2\u30c7\u30ea\u30f3\u30b0\u624b\u6cd5\u3092\u5275\u51fa\u3057\u307e\u3059\u3002\u56fd\u4ea4\u7701\u306f\uff0c\u6c17\u5019\u5909\u52d5\u306b\u3088\u308b\u6c34\u707d\u5bb3\u306b\u5099\u3048\u308b\u305f\u3081\u6d41\u57df\u6cbb\u6c34\u306b\u3088\u308b\u5bfe\u7b56\u3092\u6025\u304e\uff0c\u6cb3\u9053\u5916\u3078\u306e\u653e\u6c34\u3084\u6b62\u6c34\u30fb\u8fc2\u56de\u5236\u5fa1\u306e\u4f53\u7cfb\u5316\u3092\u6c42\u3081\u3066\u3044\u307e\u3059\u3002\u73fe\u72b6\u306f\uff0c\u6c34\u7cfb\u5168\u4f53\u3092\u5236\u5fa1\u5bfe\u8c61\u3068\u3057\u305f\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u306f\u5b58\u5728\u305b\u305a\uff0c\u964d\u96e8\u306b\u5bfe\u3059\u308b\u6c34\u4f4d\u306e\u5236\u5fa1\u306e\u53ef\u80fd\u6027\u3092\u7406\u8ad6\u7684\u306b\u8b70\u8ad6\u3067\u304d\u306a\u3044\u72b6\u6cc1\u3067\u3059\u3002\u305d\u3053\u3067\uff0c\u4e0d\u898f\u5247\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u7269\u7406\u91cf\u3092\u30b0\u30e9\u30d5\u69cb\u9020\u4e0a\u306e\u4fe1\u53f7\u3068\u307f\u306a\u3057\uff0c\u305d\u306e\u4e88\u6e2c\u3068\u5236\u5fa1\u306b\u5fc5\u8981\u306a\u6642\u9593\u767a\u5c55\u5f0f\u306e\u5c0e\u51fa\u3092\u5b9f\u65bd\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h3>\u7814\u7a76\u6210\u679c<\/h3>\n<h4>\u56fd\u969b\u4f1a\u8b70<\/h4>\n<ul>\n<li>Yusuke Arai, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake:\u00a0<strong>Sparse-Coded Dynamic Mode Decomposition on Graph for Prediction of River Water Level Distribution<\/strong><strong>,\u00a0<\/strong><em>Proc. of 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em><em>\u00a0<\/em>,\u00a0<a href=\"https:\/\/doi.org\/10.1109\/ICASSP39728.2021.9414533\">DOI: 10.1109\/ICASSP39728.2021.9414533<\/a>, June 2021<\/li>\n<li>Hotaka Kitamura, Hiroyasu Yasuda, Yuichi Tanaka, Shogo Muramatsu:\u00a0<strong>Realization of Digraph Filters via Augmented GFT<\/strong>,\u00a0<em>Proc. of 2023 IEEE International Conference on Image Processing (ICIP)<\/em>, Oct. 2023, to appear<\/li>\n<\/ul>\n<h4>\u56fd\u5185\u5b66\u4f1a<\/h4>\n<ul>\n<li>\u65b0\u4e95\u88d5\u4ecb\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9\u3000\u96c4\uff08\u6771\u5317\u5927\uff09\uff1a<strong>\u30b0\u30e9\u30d5\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u591a\u5730\u70b9\u6cb3\u5ddd\u6c34\u4f4d\u306e\u89e3\u6790\u3068\u4e88\u6e2c\uff0c<\/strong>\u7b2c35\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c2020\u5e7411\u6708<\/li>\n<li>\u5317\u6751 \u5e06\u9ad8\u30fb\u65b0\u4e95 \u88d5\u4ecb\u30fb\u6751\u677e \u6b63\u543e\u30fb\u5b89\u7530 \u6d69\u4fdd\u30fb\u65e9\u5742 \u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5927\u7af9\u3000\u96c4\uff08\u6771\u5317\u5927\uff09\uff1a<strong>\u6a19\u9ad8\u5dee\u3092\u8003\u616e\u3057\u305f\u30b0\u30e9\u30d5\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u6c34\u4f4d\u5206\u5e03\u4e88\u6e2c,\u00a0<\/strong>2022\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\u5e743\u6708<\/li>\n<li>\u6751\u677e \u6b63\u543e\uff0c\u5317\u6751 \u5e06\u9ad8\uff08\u65b0\u6f5f\u5927\uff09\uff0c\u7530\u4e2d \u96c4\u4e00\u00a0 (\u5927\u962a\u5927)\uff1a<strong>\u6709\u5411\u30b0\u30e9\u30d5\u4fe1\u53f7\u51e6\u7406\u306e\u305f\u3081\u306e\u30b0\u30e9\u30d5\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u306e\u4e00\u822c\u5316<\/strong>\uff0c\u7b2c37\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u65b0\u6f5f\u5e02\uff0c2022\u5e7411\u6708<\/li>\n<li>\u5317\u6751 \u5e06\u9ad8\uff0c\u6751\u677e \u6b63\u543e\uff0c\u5b89\u7530 \u6d69\u4fdd\uff0c\u65e9\u5742 \u572d\u53f8( \u65b0\u6f5f\u5927)\uff1a<strong>\u5236\u5fa1\u4ed8\u304d\u30b0\u30e9\u30d5\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u6c34\u4f4d\u5206\u5e03\u4e88\u6e2c<\/strong>\uff0c\u7b2c37\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u65b0\u6f5f\u5e02\uff0c2022\u5e7411\u6708<\/li>\n<li>\u5185\u85e4 \u7ffc\u30fb\u5317\u6751 \u5e06\u9ad8\u30fb\u6751\u677e \u6b63\u543e\u30fb\u5b89\u7530 \u6d69\u4fdd\uff08\u65b0\u6f5f\u5927\uff09\uff1a<strong>\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u52d5\u529b\u5b66\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u6cb3\u5ddd\u6c34\u4f4d\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u691c\u8a0e,\u00a0<\/strong>2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u829d\u6d66\u5de5\u696d\u5927\u5b66\u5927\u5bae\u30ad\u30e3\u30f3\u30d1\u30b9\uff0c2023\u5e743\u6708<\/li>\n<li>\u6751\u677e\u6b63\u543e\u30fb\u5317\u6751\u5e06\u9ad8\u30fb\u5b89\u7530\u6d69\u4fdd\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u7530\u4e2d\u96c4\u4e00\uff08\u962a\u5927\uff09 \uff1a<a href=\"https:\/\/ken.ieice.org\/ken\/paper\/20230809kCWt\/\"><strong>\u6709\u5411\u30b0\u30e9\u30d5\u4fe1\u53f7\u306b\u5bfe\u3059\u308b\u5b9f\u30d5\u30a3\u30eb\u30bf\u8a2d\u8a08\u306b\u95a2\u3059\u308b\u691c\u8a0e<\/strong><\/a>\uff0c\u4fe1\u5b66\u6280\u5831, vol. 122, no. 388, SIP2022-168, pp. 282-287, 2023\u5e742\u6708<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u30ea\u30f3\u30af<\/h2>\n<ul>\n<li><a href=\"http:\/\/rde.nhdr.niigata-u.ac.jp\/lab\/\">\u65b0\u6f5f\u5927\u5b66\u3000\u6cb3\u5ddd\u5de5\u5b66\u7814\u7a76\u5ba4<\/a><\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u9632\u707d\u306e\u305f\u3081\u306e\u7570\u6587\u91ce\u878d\u5408\u7814\u7a76 \u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.11 \u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.7 \u65b0\u6f5f\u5927\u5b66\u79d1\u7814\u8cbb\u30cb\u30e5\u30fc\u30b9 vol.2 \u672c\u7814\u7a76\u306e\u6982\u8981 MSIP Lab\u3067\u306f\u30012016\u5e74\u3088\u308a\u6cb3\u5ddd\u3092\u81ea\u5f8b\u7684\u306b\u5236\u5fa1\u3059\u308b\u65b0\u6280\u8853\u306e\u958b &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/projects\/disasterprevention\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u9632\u707d\u6280\u8853&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":3730,"parent":17,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-131","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/comments?post=131"}],"version-history":[{"count":18,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/131\/revisions"}],"predecessor-version":[{"id":4657,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/131\/revisions\/4657"}],"up":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/17"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media\/3730"}],"wp:attachment":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media?parent=131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}