{"id":2288,"date":"2014-05-12T15:59:32","date_gmt":"2014-05-12T06:59:32","guid":{"rendered":"http:\/\/www.is.doshisha.ac.jp\/news\/?p=2288"},"modified":"2014-05-12T15:59:32","modified_gmt":"2014-05-12T06:59:32","slug":"%e3%80%90%e9%80%9f%e5%a0%b1%e3%80%912014%e5%b9%b4%e5%ba%a6%e3%80%80%e4%ba%ba%e5%b7%a5%e7%9f%a5%e8%83%bd%e5%ad%a6%e4%bc%9a%e3%80%80%e5%85%a8%e5%9b%bd%e5%a4%a7%e4%bc%9a%ef%bc%88%e7%ac%ac28%e5%9b%9e","status":"publish","type":"post","link":"https:\/\/is.doshisha.ac.jp\/news\/?p=2288","title":{"rendered":"\u3010\u901f\u5831\u30112014\u5e74\u5ea6\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09"},"content":{"rendered":"<p>2014\u5e74\u5ea6\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a\u304c\u677e\u5c71\u3000\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u3067\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<br \/>\n<a href=\"http:\/\/www.ai-gakkai.or.jp\/jsai2014\/\">\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a<\/a><\/p>\n<p>\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4e0b\u8a18\u306e\u5b66\u751f\u304c\u767a\u8868\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>1D3 \u300c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5b66\u7fd2\u300d\n<ul>\n<li>1D3-2 2\u30af\u30e9\u30b9\u5206\u985e\u306e\u70ba\u306e\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u305f\u7279\u5fb4\u91cf\u5909\u63db\u624b\u6cd5\u306e\u63d0\u6848\u3000\u767d\u77f3 \u99ff\u82f1(\uff2d\uff12)<\/li>\n<\/ul>\n<\/li>\n<li>1F3 \u300c\u8133\u306e\u6570\u7406\u30e2\u30c7\u30eb\u300d\n<ul>\n<li>1F3-5 fNIRS\u304b\u3089\u5f97\u3089\u308c\u308b\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u9593\u306e\u76f8\u95a2\u5024\u3092\u7279\u5fb4\u91cf\u3068\u3059\u308b\u8b58\u5225\u306e\u691c\u8a0e\u3000\u5409\u7530 \u502b\u4e5f(\uff2d\uff12)<\/li>\n<\/ul>\n<\/li>\n<li>1F4-OS-06a \u30aa\u30fc\u30ac\u30ca\u30a4\u30ba\u30c9\u30bb\u30c3\u30b7\u30e7\u30f3\u300cOS-6 \u8133\u79d1\u5b66\u3068AI\u300d\n<ul>\n<li>1F4-OS-06a-2 \u8133\u6ce2\u3092\u7528\u3044\u305f\u8098\u95a2\u7bc0\u5c48\u66f2\u904b\u52d5\u30a4\u30e1\u30fc\u30b8\u306e\u8b58\u5225\u6cd5\u306e\u691c\u8a0e\u3000\u5927\u4e45\u4fdd \u7950\u5e0c(\uff2d\uff12)<\/li>\n<li>1F4-OS-06a-4 \u8272\u6e29\u5ea6\u74b0\u5883\u304c\u6ce8\u610f\u306e\u6301\u7d9a\u306b\u53ca\u307c\u3059\u5f71\u97ff\u3000\u5927\u897f \u590f\u5b50(\uff2d\uff12)<\/li>\n<li>1F5-OS-06b-2 \u8133\u8840\u6d41\u5909\u5316\u91cf\u306b\u5bfe\u3059\u308bDeep Learning\u3092\u7528\u3044\u305f\u88ab\u9a13\u8005\u306e\u72b6\u614b\u5206\u985e\u306e\u57fa\u790e\u7684\u691c\u8a0e\u3000\u5859 \u8ce2\u54c9(\uff2d\uff11)<\/li>\n<\/ul>\n<\/li>\n<li>2D1 \u300c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u6700\u9069\u5316\u30fbAI\u5fdc\u7528\u300d\n<ul>\n<li>2D1-2 \u5c02\u9580\u5bb6\u304c\u826f\u597d\u3068\u5224\u65ad\u3059\u308b\u89d2\u819c\u5185\u76ae\u7d30\u80de\u753b\u50cf\u751f\u6210\u30b7\u30b9\u30c6\u30e0\u3000\u677e\u6d66 \u79c0\u884c(\uff2d\uff12)<\/li>\n<li>2D1-3 \u7d30\u80de\u9818\u57df\u5206\u5272\u306e\u305f\u3081\u306e\u753b\u50cf\u51e6\u7406GP\u306b\u304a\u3051\u308b\u5b66\u7fd2\u9818\u57df\u6c7a\u5b9a\u6cd5\u306e\u691c\u8a0e\u3000\u95a2\u8c37 \u99ff\u4ecb(\uff2d\uff12)<\/li>\n<li><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><!--more--><\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"183\"><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"467\">\u5927\u897f\u590f\u5b50<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">\u8272\u6e29\u5ea6\u74b0\u5883\u304c\u6ce8\u610f\u306e\u6301\u7d9a\u306b\u53ca\u307c\u3059\u5f71\u97ff-\u5b9f\u9a13\u524d\u306e\u5fc3\u7406\u72b6\u614b\u306e\u5f71\u97ff\u306e\u691c\u8a0e-<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">The e\ufb00ects of color temperature on sustained attention-Considering psychological states before the start of experiment-<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"467\">\u5927\u897f\u590f\u5b50\uff0c\u7530\u4e2d\u7f8e\u91cc\uff0c\u798f\u5cf6\u4e9c\u68a8\u82b1\uff0c\u7530\u4e2d\u7f8e\u5bff\u7a42\uff0c\u82e5\u6751\u667a\u5b50\uff0c\u5c71\u672c\u8a69\u5b50\uff0c\u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"467\">\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"467\">2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"467\">\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\uff08\u611b\u77e5\u770c\u770c\u6c11\u6587\u5316\u4f1a\u9928\uff09\u4ed6<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"467\">2014\/05\/12-2014\/05\/15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/p>\n<p>2014\/05\/12\u304b\u30892014\/05\/15\u306b\u304b\u3051\u3066\uff0c\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a1) \u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u306f\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u7814\u7a76\u4f1a\u3067\uff0c\u4eba\u5de5\u77e5\u80fd\u306e\u8b70\u8ad6\u3092\u884c\u3044\uff0c\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u7814\u7a76\u306e\u9032\u5c55\u3068\u77e5\u8b58\u306e\u666e\u53ca\u3092\u56f3\u308a\u3001\u3082\u3063\u3066\u5b66\u8853\u30fb\u6280\u8853\u306a\u3089\u3073\u306b\u7523\u696d\u30fb\u793e\u4f1a\u306e\u767a\u5c55\u306b\u5bc4\u4e0e\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>\u79c1\u306f12\u65e5\u304a\u3088\u307315\u65e5\u306e\u4f1a\u671f\u5168\u3066\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u7530\u4e2d\u5148\u751f\uff0c\u95a2\u8c37\uff0c\u5927\u4e45\u4fdd\uff0c\u5409\u7530\uff0c\u677e\u6d66\uff0c\u767d\u77f3\uff0c\u5859\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2. \u7814\u7a76\u767a\u8868<\/p>\n<p>2.1. \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f12\u65e5\u306e\u5348\u5f8c\u306e\u30aa\u30fc\u30ac\u30ca\u30a4\u30ba\u30c9\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u8133\u79d1\u5b66\u3068AI (1)\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c125\u5206\u306e\u8b1b\u6f14\u6642\u9593\u5185\u306b12\u5206\u306e\u767a\u8868\u6642\u9593\u30683\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u8272\u6e29\u5ea6\u74b0\u5883\u304c\u6ce8\u610f\u306e\u6301\u7d9a\u306b\u53ca\u307c\u3059\u5f71\u97ff\u306e\u3001\u5b9f\u9a13\u524d\u306e\u5fc3\u7406\u72b6\u614b\u306b\u3088\u308b\u9055\u3044\u3092\u691c\u8a0e\u3057\u305f\u3082\u306e\u3067\u3059\uff0e\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u306f\u300c\u8272\u6e29\u5ea6\u74b0\u5883\u304c\u6ce8\u610f\u306e\u6301\u7d9a\u306b\u53ca\u307c\u3059\u5f71\u97ff-\u5b9f\u9a13\u524d\u306e\u5fc3\u7406\u72b6\u614b\u306e\u5f71\u97ff\u306e\u691c\u8a0e-\u300d\u3067\u3059\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u672c\u7a3f\u3067\u306f\uff0c\u5b9f\u9a13\u524d\u306e\u5fc3\u7406\u72b6\u614b\u306b\u3088\u308a\u8272\u6e29\u5ea6\u304c\u4f5c\u696d\u6642\u306e\u8133\u6d3b\u52d5\u306b\u53ca\u307c\u3059\u5f71\u97ff\u304c\u7570\u306a\u308b\u3053\u3068\u3092\u793a\u3059\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u5fc3\u7406\u72b6\u614b\u306e\u8a55\u4fa1\u306bPOMS(Profile of Mood States)\u3092\u7528\u3044\uff0c\u9ad8\u4f4e2\u7a2e\u985e\u306e\u8272\u6e29\u5ea6\u74b0\u5883\u4e0b\u3067\u5b9f\u9a13\u3092\u884c\u3063\u305f\uff0e\u8133\u6d3b\u52d5\u306e\u8abf\u67fb\u306b\u306f\uff0c\u8fd1\u8d64\u5916\u5206\u5149\u6cd5\u3092\u7528\u3044\u3066GO\/NOGO Task\u6642\u306e\u8133\u8840\u6d41\u5909\u5316\u3092\u8a08\u6e2c\u3057\u305f\uff0e\u7d50\u679c\u3068\u3057\u3066\uff0c\u9ad8\u8272\u6e29\u5ea6\u74b0\u5883\u4e0b\u306b\u304a\u3044\u3066\uff0c\u6d3b\u6c17\u306e\u3042\u308b\u88ab\u9a13\u8005\u7fa4\u3067\u8ab2\u984c\u4e2d\u306e\u8133\u8840\u6d41\u306e\u8457\u3057\u3044\u5897\u52a0\u304c\u898b\u3089\u308c\u305f\uff0e\u3010Purpose\u3011This study aims to derive appropriate light environments for work e\ufb03ciency. We investigated the e\ufb00ect of color temperature on sustained attention from the point of view of brain function using functional near-infrared spectroscopy. We focused on psychological state before the start of experiment.\u3010Methods\u3011To investigatebrain activity during sustained attention, subjects performed GO\/NOGO task. Thirty-four healthy young men(age, 21.5 \u00b1 0.5 years) participated in this study. They completed the Short form of Pro\ufb01le of Mood States beforeperforming GO\/NOGO Task.\u3010Results\u3011The distribution of RT signi\ufb01cantly faster than on high color temperature(p&lt;.05). IFG activity was higher in the vigorous subjects during GO\/NOGO task.\u3010Conclusions\u3011This studyreveal that the e\ufb00ect of color temperature is di\ufb00erent between psychological state. This results suggests that high color temperature is more e\ufb00ective in sustained attention for vigorous subjects.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"183\"><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"467\">\u5927\u4e45\u4fdd\u7950\u5e0c<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">\u8133\u6ce2\u3092\u7528\u3044\u305f\u8098\u95a2\u7bc0\u5c48\u66f2\u904b\u52d5\u30a4\u30e1\u30fc\u30b8\u306e\u8b58\u5225\u6cd5\u306e\u691c\u8a0e<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">Classification method of elbow flexion motor imagery using Electroencephalogram<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"467\">\u5927\u4e45\u4fdd\u7950\u5e0c, \u5c71\u672c\u8a69\u5b50, \u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"467\">\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"467\">2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"467\">\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u4ed6<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"467\">2014\/05\/12 &#8211; 2014\/05\/15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/p>\n<p>2014\/05\/12\u304b\u30892014\/05\/15\u306b\u304b\u3051\u3066\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u306e\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09<sup>1) <\/sup>\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09\u306f\uff0c\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u5b66\u4f1a\u3067\uff0c\u5b66\u751f\u3084\u6559\u54e1\uff0c\u4f01\u696d\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u5b66\u4f1a\u3067\u306f\uff0cSAT\uff0c\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\uff0cLinked Data \u3068\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u306e\u3088\u3046\u306a\u91cd\u8981\u306aAI \u30c6\u30af\u30cb\u30ab\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3\u3060\u3051\u3067\u306a\u304f\uff0c\u30aa\u30ce\u30de\u30c8\u30da\uff0c\u30b3\u30c8\u306e\u30c7\u30b6\u30a4\u30f3\uff0c\u4ed5\u639b\u5b66\u3068\u3044\u3046\u3088\u3046\u5b66\u969b\u7684\u30bb\u30c3\u30b7\u30e7\u30f3\u3082\u7d44\u7e54\u3055\u308c\u3066\u3044\u307e\u3059\uff0e\u3053\u306e\u5b66\u969b\u6027\u304c\uff0c\u5404\u81ea\u306eAI \u7814\u7a76\u3092\u9055\u3063\u305f\u89d2\u5ea6\u304b\u3089\u773a\u3081\u3066\u307f\u308b\u6a5f\u4f1a\u3092\u4e0e\u3048\uff0c\u305d\u3053\u304b\u3089\u65b0\u305f\u306a\u4ea4\u6d41\uff0c\u65b0\u305f\u306a\u7814\u7a76\u30c6\u30fc\u30de\u304c\u751f\u307f\u51fa\u3055\u308c\uff0c\u4eba\u5de5\u77e5\u80fd\u7814\u7a76\u306b\u5927\u304d\u306a\u5e83\u304c\u308a\u3092\u3082\u305f\u305b\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>\u79c1\u306f5\u670812\u65e5\u304b\u308915\u65e5\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u95a2\u8c37\uff0c\u5927\u897f\uff0c\u5409\u7530\uff0c\u677e\u6d66\uff0c\u767d\u77f3\uff0c\u5859\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u5ee3\u5b89\u5148\u751f\u304c\u79c1\u9054\u306e\u53e3\u982d\u767a\u8868\u3092\u8074\u304d\u306b\u6765\u3066\u4e0b\u3055\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2. \u7814\u7a76\u767a\u8868<\/p>\n<p>2.1. \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f5\u670812\u65e5\u306e\u5348\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u8133\u79d1\u5b66\u3068AI (1)\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f15\u5206\u306e\u53e3\u982d\u767a\u8868\u3067\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u904b\u52d5\u30a4\u30e1\u30fc\u30b8\u3092\u884c\u3063\u305f\u3068\u304d\u306e\u8133\u6ce2\u304b\u3089\u5de6\u53f3\u8b58\u5225\u3092\u884c\u3044\uff0c\u63d0\u6848\u624b\u6cd5\u3068\u65e2\u5b58\u624b\u6cd5\u306e\u6bd4\u8f03\u3092\u884c\u3044\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u672c\u8ad6\u6587\u3067\u306f\uff0cEEG\u3092\u7528\u3044\u3066\u904b\u52d5\u306b\u95a2\u4fc2\u3059\u308b\u8133\u6ce2\u3092\u53d6\u5f97\u3057\uff0c\u5de6\u53f3\u8b58\u5225\u3092\u884c\u3046\u969b\u306b\u4f7f\u7528\u3055\u308c\u308b\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u3067\u306f\uff0c\u5de6\u53f3\u8b58\u5225\u306b\u7528\u3044\u308b\u7279\u5fb4\u91cf\u3092FFT\u306b\u3088\u308b\u30aa\u30fc\u30d0\u30fc\u30e9\u30c3\u30d7\u51e6\u7406\u3092\u7528\u3044\u3066\u62bd\u51fa\u3059\u308b\uff0e20\u4eba\u306e\u88ab\u9a13\u8005\u306b\u5bfe\u3057\u62bd\u51fa\u3057\u305f\u7279\u5fb4\u91cf\u3092\u7528\u3044\u3066SVM\u3067\u5de6\u53f3\u8b58\u5225\u3092\u884c\u3063\u305f\uff0e\u65e2\u5b58\u624b\u6cd5\u3068\u6bd4\u8f03\u3057\u305f\u7d50\u679c\uff0c20\u4eba\u4e2d15\u4eba\u306e\u88ab\u9a13\u8005\u3067\u65e2\u5b58\u624b\u6cd5\u3092\u4e0a\u56de\u308b\u8b58\u5225\u7387\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>2.2. \u8cea\u7591\u5fdc\u7b54<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><\/p>\n<p>\u548c\u6b4c\u5c71\u5927\u5b66\u306e\u7027\u5148\u751f\u304c\u8cea\u554f\u30922\u3064\u3057\u3066\u4e0b\u3055\u308a\u307e\u3057\u305f\uff0e\u307e\u305a1\u3064\u76ee\u306e\u8cea\u554f\u306f\uff0c\u63d0\u6848\u624b\u6cd5\u306b\u304a\u3051\u308b\u7279\u5fb4\u91cf\u306f\u3069\u306e\u3088\u3046\u306b\u3057\u3066\u62bd\u51fa\u3055\u308c\u308b\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u79c1\u306f\uff0cFFT\u306e\u3042\u308b\u5e2f\u57df\u306b\u304a\u3051\u308b\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\u3092\u3059\u3079\u3066\u7a4d\u5206\u3057\u305f\u5024\u3067\u3042\u308b\u3053\u3068\u3092\u8ff0\u3079\u307e\u3057\u305f\uff0e2\u3064\u76ee\u306e\u8cea\u554f\u306f\uff0cP300\u306a\u3069\u8a8d\u77e5\u306e\u7279\u7570\u7684\u306a\u8133\u6ce2\u304c\u898b\u3089\u308c\u308b\u3053\u3068\u304c\u3042\u308b\u304c\uff0c\u4f8b\u3068\u3057\u3066\u4e0a\u3052\u3089\u308c\u3066\u3044\u305f\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3059\u308b\u6642\u9593\u304c510ms\u3067\u3042\u308b\u3053\u3068\u3068\u3069\u306e\u3088\u3046\u306a\u95a2\u4fc2\u306b\u3042\u308b\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u79c1\u306f\uff0cP300\u306b\u898b\u3089\u308c\u308b\u73fe\u8c61\u306f\u523a\u6fc0\u304c\u63d0\u793a\u3055\u308c\u3066\u304b\u3089300ms\u306b\u898b\u3089\u308c\u308b\u3082\u306e\u3067\u3042\u308a\uff0c\u305d\u306e\u5f8c\u904b\u52d5\u30a4\u30e1\u30fc\u30b8\u304c\u884c\u308f\u308c\u308b\u305f\u3081\uff0c\u59a5\u5f53\u3067\u3042\u308b\u3068\u8ff0\u3079\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><\/p>\n<p>\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\uff0c\u8b58\u5225\u306b\u7528\u3044\u308b\u30c1\u30e3\u30f3\u30cd\u30eb\u306f4\u3064\u4f7f\u7528\u3057\u305f\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\u304c\uff0c\u4f55\u306e\u8b58\u5225\u7387\u3092\u793a\u3057\u305f\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\uff0c\u6e2c\u5b9a\u30c1\u30e3\u30f3\u30cd\u30eb\u306f28\u500b\u3042\u308b\u305f\u3081\u5168\u3066\u306e\u7d44\u307f\u5408\u308f\u305b\u306e\u4e2d\u3067\u6700\u3082\u8b58\u5225\u7387\u306e\u9ad8\u3044\u5024\u3092\u30b0\u30e9\u30d5\u3068\u3057\u3066\u793a\u3057\u305f\u3053\u3068\u3092\u8ff0\u3079\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>3<\/strong><\/p>\n<p>\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\uff0c\u5468\u6ce2\u6570\u5e2f\u57df\u3092\u5909\u5316\u3055\u305b\u308b\u3068\u8b58\u5225\u7387\u306b\u5f71\u97ff\u304c\u3042\u308b\u304c\uff0c\u305d\u308c\u306f\u500b\u4eba\u3054\u3068\u306b\u4f7f\u7528\u3059\u308b\u5e2f\u57df\u306f\u9055\u3046\u65b9\u304c\u3044\u3044\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\uff0c\u79c1\u306f\u500b\u4eba\u6bce\u306b\u4f7f\u7528\u3059\u308b\u5468\u6ce2\u6570\u5e2f\u57df\u3092\u6700\u9069\u5316\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3053\u3068\u3092\u8ff0\u3079\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2.3. \u611f\u60f3<\/p>\n<p>\u5358\u306b\u300c\u4eba\u5de5\u77e5\u80fd\u300d\u3068\u3044\u3063\u3066\u3082\u69d8\u3005\u306a\u5206\u91ce\u306e\u7814\u7a76\u306b\u5fdc\u7528\u3067\u304d\u308b\u3053\u3068\u3092\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff0e\u30a6\u30a7\u30d6\u30de\u30a4\u30cb\u30f3\u30b0\u3084\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u306a\u3069\u666e\u6bb5\u306f\u805e\u304f\u3053\u3068\u304c\u306a\u3044\u6280\u8853\u306b\u89e6\u308c\u308b\u3053\u3068\u304c\u3067\u304d\uff0c\u307e\u305f\u4eba\u5de5\u77e5\u80fd\u306e\u7b2c\u4e00\u4eba\u8005\u3068\u3082\u8a00\u3046\u3079\u304d\u4eba\u9054\u306e\u8b1b\u6f14\u3092\u516c\u8074\u3059\u308b\u306a\u3069\uff0c\u3068\u3066\u3082\u6709\u610f\u7fa9\u306a\u6642\u9593\u3092\u904e\u3054\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff0e<\/p>\n<p>\u6620\u753b\u300c\u30c8\u30e9\u30f3\u30bb\u30f3\u30c7\u30f3\u30b9\u300d\u3068\u306e\u5171\u540c\u7279\u5225\u4f01\u753b\u306b\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u305d\u306e\u6620\u753b\u306f\u4eba\u9593\u306e\u982d\u8133\u3092\u306f\u308b\u304b\u306b\u4e0a\u307e\u3063\u305f\u4eba\u5de5\u77e5\u80fd\u304c\u30c6\u30fc\u30de\u306b\u306a\u3063\u3066\u3044\u307e\u3059\uff0e\u305d\u3057\u3066\uff0c\u306f\u4eba\u3092\u8d85\u3048\u305f\u4eba\u5de5\u77e5\u80fd\u3092\u4f5c\u308b\u3079\u304d\u304b\u305d\u3046\u3067\u306a\u3044\u304b\u306b\u3064\u3044\u3066\u8b70\u8ad6\u3055\u308c\u308b\u3053\u3068\u3068\u306a\u308a\uff0c\u305d\u3053\u3067\u306f\u4eba\u5de5\u77e5\u80fd\u306e\u6280\u8853\u3060\u3051\u3067\u306a\u304f\u60c5\u5831\u502b\u7406\u5b66\u304c\u30dd\u30a4\u30f3\u30c8\u3068\u306a\u3063\u3066\u3044\u307e\u3057\u305f\uff0e\u3053\u306e\u3088\u3046\u306a\u8b70\u8ad6\u3092\u516c\u8074\u3057\uff0c\u58c7\u4e0a\u8005\u306f\u9060\u304f\u306e\u672a\u6765\u3092\u898b\u636e\u3048\u306a\u304c\u3089\u7814\u7a76\u3092\u884c\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u8a8d\u8b58\u3055\u305b\u3089\u308c\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>3. \u8074\u8b1b<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e6\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000\u8133\u5185\u8a00\u8a9e\u51e6\u7406\u304b\u3089\u767a\u60f3\u3092\u5f97\u305f\u4eba-\u30ed\u30dc\u30c3\u30c8\u6307\u793a\u7406\u89e3\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u76f8\u5ddd\u5927\u8f14(\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662\u751f\u547d\u4f53\u5de5\u5b66\u7814\u7a76\u79d1\u8133\u60c5\u5831\u5c02\u653b)\u6211\u59bb\u5e83\u660e(\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662\u751f\u547d\u4f53\u5de5\u5b66\u7814\u7a76\u79d1\u8133\u60c5\u5831\u5c02\u653b)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u7406\u89e3Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u6211\u3005\u306fAI\u3067\u4eba\u6307\u793a\u7406\u89e3\u3092\u884c\u3046\u305f\u3081\u306e\u6587\u6cd5\u69cb\u9020\u3092\u53cd\u6620\u3057\u305f\u4e2d\u5fc3\u540d\u8a5e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u751f\u6210\u3092\u63d0\u6848\u3057\u3066\u304d\u305f\uff0e\u3042\u308b\u540d\u8a5e\u3092\u8aac\u660e\u3059\u308b\u82f1\u6587\u306b\u5bfe\u3057\u6b63\u89e3\u306e\u9078\u629e\u80a2\u3092\u9078\u3076\u554f\u984c\u306b\u304a\u3044\u3066\uff0c\u9078\u629e\u80a2\u304b\u3089\u82f1\u82f1\u8f9e\u5178\u3067\u4e2d\u5fc3\u540d\u8a5e\u3092\u8fbf\u308b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u3064\u304f\u308b\u3053\u3068\u304c\u3067\u304d\u308b\uff0e\u305d\u306e\u969b\uff0c\u554f\u984c\u6587\u306e\u540d\u8a5e\u7fa4\u306b\u5bfe\u3057\u3066\u985e\u7fa9\u8a9e\u8f9e\u5178\u306b\u57fa\u3065\u304d\u76f8\u95a2\u6027\u306e\u3042\u308b\u540d\u8a5e\u306e\u307f\uff0c\u5206\u5c90\u5f62\u6210\u3092\u53ef\u3068\u3059\u308b\u3068\uff0c\u4e0d\u6b63\u89e3\u306e\u9078\u629e\u80a2\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u76f4\u7dda\u50be\u5411\uff0c\u6b63\u89e3\u306e\u5834\u5408\u306f\u8907\u96d1\u306a\u5f62\u72b6\u3092\u6709\u3059\u308b\u3053\u3068\u304c\u308f\u304b\u3063\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306e\u30bf\u30a4\u30c8\u30eb\u306b\u306f\u300c\u8133\u5185\u8a00\u8a9e\u51e6\u7406\u300d\u3068\u306a\u3063\u3066\u3044\u308b\u306b\u3082\u95a2\u308f\u3089\u305a\uff0c\u305d\u306e\u5b9a\u7fa9\u304c\u66d6\u6627\u3067\u3042\u3063\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8eca\u6905\u5b50\u30d0\u30b9\u30b1\u7af6\u6280\u306e\u30b7\u30e5\u30fc\u30c8\u52d5\u4f5c\u306b\u6ce8\u76ee\u3057\u305f\u4e09\u6b21\u5143\u52d5\u4f5c\u89e3\u6790\u30fb\u5e8a\u53cd\u529b\u8a08\u540c\u6642\u8a08\u6e2c\u30c7\u30fc\u30bf\u304b\u3089\u306e\u8133\u5185\u8eab\u4f53\u30a4\u30e1\u30fc\u30b8\u53ef\u8996\u5316\u306e\u3066\u304c\u304b\u308a\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u4e95\u4e0a\u606d\u8f14(\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662\u751f\u547d\u4f53\u5de5\u5b66\u7814\u7a76\u79d1\u8133\u60c5\u5831\u5c02\u653b)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8133\u79d1\u5b66\u3068AI (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u6211\u3005\u306f\u8eca\u6905\u5b50\u30d0\u30b9\u30b1\u719f\u7df4\u8005\u306e\u8eab\u4f53\u52d5\u4f5c\u3092\u4e09\u6b21\u5143\u52d5\u4f5c\u89e3\u6790\uff0c\u5e8a\u53cd\u529b\u8a08\u306e\u540c\u6642\u8a08\u6e2c\u306b\u304a\u3044\u3066\u89e3\u6790\u3057\u3066\u304d\u305f\uff0e\u30b7\u30e5\u30fc\u30c8\u4e2d\u306e\u5e8a\u53cd\u529b\u3068\u624b\u30fb\u6295\u7403\u8ecc\u9053\u306e\u6642\u7cfb\u5217\u89e3\u6790\u306f\uff0c\u719f\u7df4\u8005\u304c\u9ad8\u3044\u518d\u73fe\u6027\u3067\u529b\u306e\u6e9c\u3081\u3068\u958b\u653e\u3092\u5b9f\u884c\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u5506\u3059\u308b\uff0e\u5e73\u5747\u7684\u306a\u7af6\u6280\u8005\u306f\u30b7\u30e5\u30fc\u30c8\u8ddd\u96e2\u304c\u4f38\u3073\u3066\u3082\u5e8a\u53cd\u529b\u6642\u7cfb\u5217\u306b\u5927\u304d\u306a\u5909\u5316\u304c\u306a\u304f\uff0c\u719f\u7df4\u8005\u3067\u306f\u5dee\u7570\u304c\u8a8d\u3081\u3089\u308c\u308b\u3053\u3068\u306f\uff0c\u52d5\u4f5c\u30a4\u30e1\u30fc\u30b8\u3092\u7684\u78ba\u306b\u4f7f\u3044\u5206\u3051\u3066\u3044\u308b\u3053\u3068\u304c\u793a\u5506\u3055\u308c\uff0c\u8133\u5185\u8eab\u4f53\u30a4\u30e1\u30fc\u30b8\u306e\u53ef\u8996\u5316\u306e\u3066\u304c\u304b\u308a\u3068\u306a\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u8eca\u6905\u5b50\u30d0\u30b9\u30b1\u306e\u719f\u7df4\u8005\u306e\u30b7\u30e5\u30fc\u30c8\u52d5\u4f5c\u306b\u8fd1\u3065\u304f\u305f\u3081\u306b\u7740\u76ee\u3057\u305f\u3053\u3068\u304c\u30b7\u30e5\u30fc\u30c8\u52d5\u4f5c\u306e\u8d77\u70b9\u3068\u30dc\u30fc\u30eb\u306e\u8ecc\u9053\uff0c\u30dc\u30fc\u30eb\u3092\u96e2\u3059\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u3042\u3063\u305f\uff0e\u8133\u5185\u8eab\u4f53\u30a4\u30e1\u30fc\u30b8\u306e\u53ef\u8996\u5316\u306b\u3069\u3046\u7d50\u3073\u3064\u3051\u308b\u306e\u304b\u304c\u4e0d\u660e\u78ba\u3067\u3042\u3063\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aCFRP\u8907\u5408\u6750\u6599\u5f3e\u6027\u4f53\u3092\u7528\u3044\u305f\u7b4b\u529b\u652f\u63f4\u306e\u63d0\u6848\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u9999\u6708\u4f51\u4e5f(\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662\u751f\u547d\u4f53\u5de5\u5b66\u7814\u7a76\u79d1\u8133\u60c5\u5831\u5c02\u653b)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8133\u79d1\u5b66\u3068AI (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30ab\u30fc\u30dc\u30f3\u7fa9\u8db3\u306a\u3069\u8fd1\u5e74\u8907\u5408\u7d20\u6750\u306b\u3088\u308b\u7b4b\u529b\u652f\u63f4\u304c\u671f\u5f85\u3055\u308c\u308b\uff0e\u5b89\u4fa1\u306a\u798f\u7949\u652f\u63f4\u5177\u306f\u5c55\u671b\u304c\u3042\u308b\u4e00\u65b9\uff0c\u4f7f\u7528\u8005\u306e\u8eab\u4f53\u3084\u8133\u306b\u3088\u308b\u52d5\u4f5c\u5236\u5fa1\u306e\u7279\u6027\u306b\u9069\u5408\u3055\u305b\u308b\u5fc5\u8981\u304c\u3042\u308a\uff0c\u96fb\u5b50\u6a5f\u5668\u306b\u3088\u308b\u5236\u5fa1\u3068\u306f\u9055\u3046\u610f\u5473\u3067\u306e\u77e5\u7684\u5236\u5fa1\u304c\u5fc5\u8981\u3068\u306a\u308b\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0c\u8eab\u4f53\u52d5\u4f5c\u4e2d\u306e\u52d5\u4f5c\u5909\u5316\u30fb\u529b\u767a\u751f\u30fb\u7b4b\u96fb\u5909\u4f4d\u306e\u540c\u6642\u8a08\u6e2c\u306b\u3088\u308a\u500b\u4eba\u306e\u52d5\u4f5c\u7279\u6027\u3092\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u3057\uff0c\u7acb\u3061\u4e0a\u304c\u308a\u88dc\u52a9\u5177\u3068\u3057\u3066\u306e\u5f3e\u6027\u4f53\u306e\u5fdc\u529b\u767a\u751f\u3092\u6700\u9069\u306a\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u52a0\u3048\u308b\u9069\u5fdc\u7684\u652f\u63f4\u6a5f\u5668\u3092\u958b\u767a\u3059\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>CFRP\u8907\u5408\u6750\u6599\u5f3e\u6027\u4f53\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u4ed6\u306e\u7d20\u6750\u3068\u6bd4\u8f03\u3057\uff0c\u3069\u3046\u3044\u3046\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308b\u306e\u304b\u304c\u5206\u304b\u3089\u306a\u304b\u3063\u305f\uff0e\u7b4b\u96fb\u3092\u8a08\u6e2c\u3059\u308b\u5b9f\u9a13\u3092\u884c\u3063\u3066\u3044\u305f\u305f\u3081\uff0c\u4eca\u5f8c\u306e\u7b4b\u96fb\u3092\u8a08\u6e2c\u3059\u308b\u5b9f\u9a13\u306e\u53c2\u8003\u306b\u306a\u3063\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aNIRS\u3092\u5229\u7528\u3057\u305f\u6587\u7ae0\u306e\u80af\u5b9a\u30fb\u5426\u5b9a\u306b\u95a2\u3059\u308b\u8133\u72b6\u614b\u306e\u8b58\u5225\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8c37\u91ce\u5e83\u7950(\u548c\u6b4c\u5c71\u5927\u5b66\u30b7\u30b9\u30c6\u30e0\u5de5\u5b66\u90e8\u60c5\u5831\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u5b66\u79d1)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8133\u79d1\u5b66\u3068AI (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u6587\u66f8\u306e\u610f\u5473\u3092\u5224\u5225\u3057\u3066\u3001\u305d\u306e\u5185\u5bb9\u3092\u80af\u5b9a\u3059\u308b\u304b\u3001\u5426\u5b9a\u3059\u308b\u304b\u306f\u3001\u9ad8\u6b21\u306e\u8133\u6d3b\u52d5\u3067\u3042\u308b\u3002\u7b46\u8005\u3089\u306f\u3001\u6570\u5024\u3084\u65b9\u5411\u8a18\u53f7\u306e\u8b58\u5225\u3092\u8133\u6ce2\u89e3\u6790\u3092\u5229\u7528\u3057\u3066\u5b9f\u73fe\u3057\u3066\u304d\u305f\u304c\u3001\u9ad8\u6b21\u306e\u5224\u5b9a\u3067\u306f\u3001\u53cd\u5fdc\u3059\u308b\u8a08\u6e2c\u70b9\uff08\u96fb\u6975\u914d\u7f6e\u70b9\uff09\u304c\u591a\u6570\u3068\u306a\u308b\u3001\u305d\u3053\u3067\u3001\u524d\u982d\u8449\u306e\u53cd\u5fdc\u306b\u3064\u3044\u3066NIRS\u8a08\u6e2c\u3067\u3001\u3069\u306e\u7a0b\u5ea6\u3001\u5224\u5225\u3067\u304d\u308b\u304b\u3092\u8a55\u4fa1\u3057\u305f\u3002\u307e\u305f\u3001\u8907\u96d1\u306a\u5185\u5bb9\u306e\u8cdb\u5426\u5224\u5225\u306f\u3001\u96c6\u56e3\u610f\u601d\u6c7a\u5b9a\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5fdc\u7528\u3082\u671f\u5f85\u3067\u304d\u308b\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u80af\u5b9a\u30fb\u5426\u5b9a\u306e\u30a4\u30e1\u30fc\u30b8\u304c\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u3067\u3042\u308b\u304b\u304c\u4e0d\u660e\u78ba\u3067\u3042\u3063\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aEEG-Based Emotion Recognition during Music Listening\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThammasan Nattapong(\u5927\u962a\u5927\u5b66\u3000\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8133\u79d1\u5b66\u3068AI (2)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aWe proposes how to recognize human emotions during music listening by using Electroencephalogram. Fractal Dimension value and SVM are applied. The results are 86-90% accuracy for emotion classification.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u97f3\u697d\u3092\u8074\u3044\u3066\u3044\u308b\u6642\u306e\u8133\u6ce2\u304b\u3089\u611f\u60c5\u8b58\u5225\u3092\u884c\u3063\u3066\u3044\u305f\u305f\u3081\uff0c\u3068\u3066\u3082\u8208\u5473\u6df1\u3044\u7814\u7a76\u767a\u8868\u3067\u3042\u3063\u305f\uff0e\u7279\u5fb4\u91cf\u62bd\u51fa\u306b\u306f\u30d5\u30e9\u30af\u30bf\u30eb\u6b21\u5143\u89e3\u6790\u304c\u4f7f\u7528\u3055\u308c\u3066\u3044\u3066\uff0c\u304b\u3064\uff0c\u8b58\u5225\u7387\u304c\u5927\u4f5380%\u4ee5\u4e0a\u3067\u3042\u3063\u305f\u305f\u3081\u9a5a\u3044\u305f\uff0eEEG\u306fMISL\u3067\u3082\u4f7f\u7528\u3057\u3066\u3044\u308bPolymate\uff0c\u307e\u305f\u89e3\u6790\u306fR\u8a00\u8a9e\u3092\u4f7f\u7528\u3057\u3066\u3044\u305f\u305f\u3081\uff0c\u89aa\u8fd1\u611f\u304c\u751f\u307e\u308c\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30b9\u30d1\u30fc\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0\u3068\u30c7\u30fc\u30bf\u99c6\u52d5\u79d1\u5b66\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5ca1\u7530\u771f\u4eba(\u6771\u4eac\u5927\u5b66\u65b0\u9818\u57df\u5275\u6210\u79d1\u5b66\u7814\u7a76\u79d1\u8907\u96d1\u7406\u5de5\u5b66\u5c02\u653b)\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8133\u79d1\u5b66\u3068AI (2)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u8fd1\u5e74\uff0c\u7d71\u8a08\u5b66\uff0c\u6a5f\u68b0\u5b66\u7fd2\uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\uff0c\u4fe1\u53f7\u51e6\u7406\uff0c\u901a\u4fe1\u5de5\u5b66\uff0c\u8a08\u6e2c\u5de5\u5b66\u3068\u3044\u3063\u305f\u5e45\u5e83\u3044\u5206\u91ce\u3067\uff0c\u9ad8\u6b21\u5143\u30c7\u30fc\u30bf\u306e\u30b9\u30d1\u30fc\u30b9\u6027\u306b\u6ce8\u76ee\u3057\u305f\u30b9\u30d1\u30fc\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u65b9\u6cd5\u8ad6\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\uff0e\u672c\u8b1b\u6f14\u3067\u306f\uff0c\u751f\u547d\u30fb\u8133\u79d1\u5b66\uff0c\u533b\u5de5\u5b66\uff0c\u5730\u7403\u60d1\u661f\u79d1\u5b66\u30fb\u5929\u6587\u5b66\u306a\u3069\u306e\u5e45\u5e83\u3044\u5206\u91ce\u306b\u95a2\u3057\u3066\u666e\u904d\u7684\u306a\uff0c\u30b9\u30d1\u30fc\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u79d1\u5b66\u306e\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u8b70\u8ad6\u3059\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5ca1\u7530\u5148\u751f\u306e\u8a71\u3057\u65b9\u3084\u9593\u306e\u53d6\u308a\u65b9\u304c\u5de7\u5999\u3067\uff0c\u767a\u8868\u306b\u805e\u304d\u5165\u3063\u3066\u3057\u307e\u3063\u305f\uff0e\u6700\u65b0\u306e\u6280\u8853\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b\u30b9\u30d1\u30fc\u30b9\u6027\u306b\u3064\u3044\u3066\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\uff0c\u81ea\u8eab\u306e\u7814\u7a76\u306b\u751f\u304b\u3057\u305f\u3044\u3068\u611f\u3058\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<p>1)\u00a0\u00a0\u00a0\u00a0 2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09\uff0chttp:\/\/www.ai-gakkai.or.jp\/jsai2014\/<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"147\"><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"373\">\u5859\u8ce2\u54c9<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">\u8133\u8840\u6d41\u5909\u5316\u91cf\u306b\u5bfe\u3059\u308bDeep Learning\u3092\u7528\u3044\u305f\u88ab\u9a13\u8005\u306e\u7279\u5fb4\u5206\u985e\u306e\u57fa\u790e\u7684\u691c\u8a0e<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">Fundamental study of the state classification of subjects with Deep Learning to cerebral blood flow changes<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"373\">\u5859\u8ce2\u54c9,\u798f\u5cf6\u4e9c\u68a8\u82b1,\u5c71\u672c\u8a69\u5b50,\u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"373\">\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"373\">2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5168\u56fd\u5927\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"373\">\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"373\">2014\/05\/12-2014\/05\/15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/p>\n<p>2014\/05\/12\u304b\u30892014\/05\/15\u306b\u304b\u3051\u3066\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u306f\uff0c\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u5b66\u4f1a\u3067\uff0c\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u5b66\u969b\u7684\u5b66\u554f\u7814\u7a76\u306e\u4fc3\u9032\u3092\u306f\u304b\u308a\uff0c\u4f1a\u54e1\u76f8\u4e92\u9593\u304a\u3088\u3073\u95a2\u9023\u5b66\u5354\u4f1a\u3068\u306e\u4ea4\u6d41\u306e\u5834\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3092\u901a\u3058\u3066\uff0c\u3053\u306e\u5206\u91ce\u306e\u5b66\u554f\u3068\u7523\u696d\u306e\u9032\u6b69\u306b\u8ca2\u732e\u3059\u308b\u3068\u3068\u3082\u306b\uff0c\u56fd\u969b\u7684\u6d3b\u52d5\u3092\u901a\u3057\u3066\u4e16\u754c\u306e\u3053\u306e\u5206\u91ce\u306e\u9032\u6b69\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e\u79c1\u306f\u5168\u65e5\u7a0b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u7530\u4e2d\u5148\u751f\uff0c\u95a2\u8c37\u3055\u3093\uff0c\u5409\u7530\u3055\u3093\uff0c\u677e\u6d66\u3055\u3093\uff0c\u5927\u4e45\u4fdd\u3055\u3093\uff0c\u5927\u897f\u3055\u3093\uff0c\u767d\u77f3\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2. \u7814\u7a76\u767a\u8868<\/p>\n<p>2.1. \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f12\u65e5\u306e\u5348\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u8133\u79d1\u5b66\u3068AI\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c12\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30683\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u2026\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">[\u6a19\u984c] \u8133\u8840\u6d41\u5909\u5316\u91cf\u306b\u5bfe\u3059\u308bDeep Learning\u3092\u7528\u3044\u305f\u88ab\u9a13\u8005\u306e\u7279\u5fb4\u5206\u985e\u306e\u57fa\u790e\u7684\u691c\u8a0e[\u80cc\u666f] \u8fd1\u5e74\uff0c\u8133\u6a5f\u80fd\u30de\u30c3\u30d4\u30f3\u30b0\u88c5\u7f6e\u306e\u4e00\u3064\u3067\u3042\u308bfNIRS\uff08functional Near-Infrared Spectroscopy\uff09\u88c5\u7f6e\u304c\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0cfNIRS\u88c5\u7f6e\u306e\u8a08\u6e2c\u3067\u306f\u8133\u6d3b\u52d5\u4ee5\u5916\u306b\u3082\u5fc3\u62cd\u3084\u8840\u5727\u306a\u3069\u306e\u5f71\u97ff\u3082\u53d7\u3051\u3084\u3059\u304f\u7279\u5b9a\u306e\u8133\u6d3b\u52d5\u304c\u8133\u8840\u6d41\u30c7\u30fc\u30bf\u306b\u53cd\u6620\u3057\u3066\u3044\u308b\u304b\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e[\u76ee\u7684\u30fb\u65b9\u6cd5] \u8b58\u5225\u5668\u3092\u7528\u3044\u3066\u8ab2\u984c\u6642\u306e\u8133\u8840\u6d41\u5909\u5316\u91cf\u306e\u7279\u5fb4\u304b\u3089\u88ab\u9a13\u8005\u3092\u5206\u985e\u3059\u308b\u3053\u3068\u3067\u8ab2\u984c\u306b\u95a2\u4fc2\u3059\u308b\u8133\u8840\u6d41\u3092\u691c\u8a0e\u3059\u308b\uff0e[\u7d50\u679c]\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u6570\u5b57\u8a18\u61b6\u8ab2\u984c\u306b\u304a\u3044\u3066\u8133\u8840\u6d41\u5909\u5316\u91cf\u306e\u7279\u5fb4\u304b\u3089\u7537\u6027\u3068\u5973\u6027\u306e\u88ab\u9a13\u8005\u3092\u5206\u985e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305f\uff0e\u3053\u306e\u3053\u3068\u306f\u7279\u5b9a\u306e\u8ab2\u984c\u6642\u306e\u8133\u6d3b\u52d5\u304c\u8133\u8840\u6d41\u30c7\u30fc\u30bf\u306b\u53cd\u6620\u3057\u3066\u3044\u305f\u305f\u3081\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u308b\uff0e&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>2.2. \u7591\u5fdc\u7b54<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><\/p>\n<p>\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u6240\u5c5e\u306e\u4e00\u6749\u3055\u3093\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u8003\u5bdf\u304b\u3089\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4e2d\u9593\u5c64\u306f2\u5c64\u3067\u826f\u3044\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\uff0c\u79c1\u306f\u691c\u8a0e\u3057\u3066\u3044\u306a\u304b\u3063\u305f\u306e\u3067\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u69cb\u9020\u3092\u3082\u3046\u4e00\u5ea6\u898b\u76f4\u3059\u5fc5\u8981\u304c\u3042\u308b\u611f\u3058\u307e\u3057\u305f\uff0e<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><\/p>\n<p>\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u306a\u305c\u5b9f\u9a13\u8ab2\u984c\u306f\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u306e\u97f3\u74b0\u5883\u3067\u884c\u3063\u3066\u3044\u308b\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\uff0c\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u306f\u7537\u6027\u3068\u5973\u6027\u3067\u611f\u3058\u65b9\u304c\u7570\u306a\u308a\uff0c\u6570\u5b57\u8a18\u61b6\u8ab2\u984c\u6642\u306b\u7537\u5973\u3067\u6210\u7e3e\u306b\u5dee\u304c\u3042\u308b\u3068\u3044\u3046\u5831\u544a\u304c\u3042\u308b\u305f\u3081\u306b\u4f7f\u7528\u3057\u307e\u3057\u305f\u3068\u89e3\u7b54\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2.3. \u611f\u60f3<\/p>\n<p>\u30fb\u4eca\u56de\u521d\u3081\u3066\u5b66\u4f1a\u306b\u53c2\u52a0\u3057\u3066\u307f\u3066\u4eba\u306b\u4f1d\u3048\u308b\u3053\u3068\u306f\u3068\u3066\u3082\u96e3\u3057\u3044\u3068\u611f\u3058\u307e\u3057\u305f\uff0e\u4eca\u56de\u306e\u5b66\u4f1a\u306e\u767a\u8868\u3067\u79c1\u306f\u81ea\u8eab\u306e\u7814\u7a76\u306b\u5bfe\u3057\u3066\u3082\u3063\u3068\u3053\u3046\u3059\u308c\u3070\u3082\u3063\u3068\u826f\u3044\u7d50\u679c\u3068\u306a\u308b\uff0c\u3053\u3053\u306f\u3082\u3063\u3068\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306a\u3069\u3092\u8cea\u7591\u5fdc\u7b54\u3067\u8b70\u8ad6\u3057\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u307e\u3057\u305f\uff0e\u3057\u304b\u3057\uff0c\u767a\u8868\u5f8c\u306e\u8cea\u7591\u3067\u306f\uff0c\u81ea\u5206\u306e\u7814\u7a76\u306b\u3064\u3044\u3066\u306e\u7c21\u5358\u306a\u8cea\u554f\u3084\u7d50\u679c\u306e\u6307\u6458\u306a\u3069\u601d\u3063\u3066\u3044\u305f\u3053\u3068\u3068\u306f\u9055\u3063\u3066\u3044\u307e\u3057\u305f\uff0e\u305d\u308c\u306f\u81ea\u5206\u306e\u767a\u8868\u3067\u4e00\u756a\u4f1d\u3048\u305f\u3044\u3053\u3068\u3092\u3046\u307e\u304f\u4f1d\u3048\u3089\u308c\u306a\u304b\u3063\u305f\u305f\u3081\u3068\u601d\u3044\u307e\u3057\u305f\uff0e\u6b21\u56de\u306e\u767a\u8868\u3067\u306f\u3088\u308a\u826f\u3044\u8cea\u7591\u5fdc\u7b54\u3092\u3059\u308b\u305f\u3081\u306b\u81ea\u5206\u304c\u4e00\u756a\u4f1d\u3048\u305f\u3044\u3053\u3068\u3092\u4f1d\u3048\u3089\u308c\u308b\u3088\u3046\u306b\u9811\u5f35\u308a\u305f\u3044\u3067\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>3. \u8074\u8b1b<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e2\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\uff1a\u3000Deep Collaborative Filtering Deep Learning \u6280\u8853\u306e\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5fdc\u7528\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5ddd\u4e0a\u548c\u4e5f\uff0c\u677e\u5c3e\u8c4a\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aOS-24 Deep Learning (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aRecently, the new machine learning algorithms called Deep Learning has attracted attention. However, they have not been applied to the tasks of Web, such as Recommender System. This is because difficulties in learning sparse data and handling of data which contain missing values. In this study, we propose a recommendation technique that can learn users\u2019 preferences. The key idea of proposed method is to remove the effects of fluctuations in the preferences of each user\/item before applying Deep Learning. This paper provides finding that it is necessary to centralize preference data when recommender system tries to learn from data that is sparse and contain missing values.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0c\u3053\u308c\u307e\u3067\u60c5\u5831\u63a8\u85a6\u306e\u30bf\u30b9\u30af\u306b\u5fdc\u7528\u3055\u308c\u3066\u3044\u306a\u304b\u3063\u305fDeep Learning\u6280\u8853\u3092\u60c5\u5831\u63a8\u85a6\u306b\u9069\u7528\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3057\uff0c\u5b9f\u9a13\u306b\u3088\u308b\u6027\u80fd\u3092\u8a55\u4fa1\u3059\u308b\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0e\u3053\u306e\u7814\u7a76\u3067\u306fDeep Learning\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u7b49\u3092\u5909\u5316\u3055\u305b\u308b\u3053\u3068\u304c\u5b66\u7fd2\u5668\u306e\u6027\u80fd\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u305f\u306e\u3067\uff0c\u81ea\u5206\u306e\u7814\u7a76\u3067\u3082\u3088\u308a\u6c4e\u5316\u80fd\u529b\u306e\u9ad8\u3044\u5b66\u7fd2\u5668\u3092\u4f5c\u308b\u305f\u3081\u306b\u53c2\u8003\u306b\u3057\u3088\u3046\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aDeep Sparse Autoencoder\u306b\u3088\u308b\u8eca\u4e21\u904b\u8ee2\u72b6\u614b\u306e\u53ef\u8996\u5316\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5289\u6d77\u9f8d\uff0c\u8c37\u53e3\u5fe0\u5927\uff0c\u9ad8\u91ce\u654f\u660e\uff0c\u7af9\u4e2d\u4e00\u4ec1\uff0c\u5742\u6771\u8a89\u53f8\uff0c\u7530\u4e2d\u96c4\u4ecb\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aOS-24 Deep Learning (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a With the increase of dimensions in driving behavioral data, the human to intuitively understand the time- series data has become very difficult. We employed a deep sparse autoencoder to extract the three-dimensional representation from raw driving behavioral data with one hundred dimensions. And we proposed a method to visualize driving behavioral on the map by mapping three-dimensional data into the RGB color space. We compared deep sparse autoencoder with other conventional methods such as principal component analysis. As a result, our methods outperformed other conventional methods for visualization of driving behavioral data.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0cDSAE\u3092\u7528\u3044\u3066\uff0c\u904b\u8ee2\u6319\u52d5\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u4f4e\u6b21\u5143\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3057\uff0c\u904b\u8ee2\u72b6\u6cc1\u306e\u53ef\u8996\u5316\u3092\u884c\u3046\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0e\u5b9f\u9a13\u7d50\u679c\u3067\u306fDSAE\u306b\u3088\u308b\u624b\u6cd5\u306fPCA\u306a\u3069\u306b\u3088\u308b\u5206\u985e\u306e\u7cbe\u5ea6\u3088\u308a\u306f\u308b\u304b\u306b\u9ad8\u3044\u7cbe\u5ea6\u3067\u3057\u305f\uff0e\u767a\u8868\u5185\u5bb9\u306f\u8074\u3044\u3066\u3044\u3066\u308f\u304b\u3089\u306a\u3044\u3068\u3053\u308d\u3082\u3042\u3063\u305f\u304c\uff0c\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u3067\u3082\u3068\u3066\u3082\u826f\u3044\u7d50\u679c\u304c\u5f97\u3089\u308c\u3066\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aDeep Learning\u5229\u7528\u6cd5\u3068\u77e5\u898b\u306e\u4f53\u7cfb\u5316\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u9ed2\u6edd\u7d18\u751f, \u677e\u5c3e\u8c4a\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aOS-24 Deep Learning (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aDeep Learning has achieved significant results in recognicion of images and sounds and in prediction of molecular activities. It is desirable to accumulate knowledge of Deep Learing to apply in various kinds of machine learning problems easily adn effectively. We show that the combination of Pylearn2, a Deep Learning framework, Maxout Network, a learning model with deep architecture, and utilization of machine with Graphics Processing Unit(GPU) is effective to deal with problems with implementing Deep Learning.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0c\u5b9f\u969b\u306bPylearn2\u3068Deep Learning Tutorial\u306b\u5b9f\u88c5\u3055\u308c\u3066\u3044\u308b\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\uff0c\u6a5f\u68b0\u5b66\u7fd2\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0eGPU\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u5b66\u7fd2\u6642\u9593\u304c\u5927\u5e45\u306b\u77ed\u7e2e\u3055\u308c\uff0c\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u7528\u3044\u308b\u3060\u3051\u3067\u3082MNIST\u3068\u3044\u3046\u624b\u66f8\u304d\u6587\u5b57\u8b58\u5225\u3067\u9ad8\u3044\u8b58\u5225\u7387\u304c\u5f97\u3089\u308c\u3066\u3044\u305f\u3053\u3068\u306b\u3068\u3066\u3082\u9a5a\u304d\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u7d4c\u6e08\u6307\u6a19\u52d5\u5411\u63a8\u5b9a\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5409\u539f\u8f1d,\u85e4\u5ddd\u548c\u6a39,\u95a2\u548c\u5e83,\u4e0a\u539f\u90a6\u662d\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aOS-24 Deep Learning (1)Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aInvestors make decisions based on various information sources, including consumer price index, price-earnings ratio, and miscellaneous events reported by news wires. To assist their decisions, many studies have been conducted in the last decades. However, the majority of the efforts was made for utilizing numerical information, partly due to the difficulty to analyze natural language texts and to make sense of their temporal properties. This study sheds light on this problem using deep learning, which has been attracting much attention in the pattern mining and machine learning communities for its ability to automatically extract useful features from a large amount of data. Specifically, this study proposes an approach to market trend prediction based on a deep recurrent network to model temporal effects of past events. The validity of the proposed approach is demonstrated on real-world data for ten Nikkei companies.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0c\u682a\u4fa1\u3068\u3044\u3046\u6642\u7cfb\u5217\u60c5\u5831\u306e\u7279\u6027\u306b\u7740\u76ee\u3057\uff0c\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u3063\u3066\u65b0\u805e\u8a18\u4e8b\u304b\u3099\u682a\u4fa1\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u6642\u9593\u7684\u306a\u5909\u5316\u3092\u6349\u3048\uff0c\u682a\u4fa1\u52d5\u5411\u63a8\u5b9a\u3092\u884c\u3046\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0e\u6642\u7cfb\u5217\u60c5\u5831\u3092\u8003\u616e\u3059\u308b\u305f\u3081\u306b\u518d\u5e30\u7684\u306a\u30e2\u30c7\u30eb\u3067\u3042\u308bRNN-RBM\u3068RBM\u3092\u968e\u5c64\u7684\u306b\u7a4d\u307f\u4e0a\u3052\u3066\u69cb\u6210\u3055\u308c\u3066\u3044\u308b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3057\u305f\uff0e\u767a\u8868\u3092\u805e\u3044\u3066\uff0c\u69cb\u9020\u304c\u8907\u96d1\u3059\u304e\u308b\u3068\u30cf\u30a4\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574\u304c\u96e3\u3057\u3044\u306e\u3067\u3082\u3046\u5c11\u3057\u7c21\u5358\u306a\u69cb\u9020\u3067\u4e88\u6e2c\u3092\u884c\u3046\u65b9\u304c\u826f\u3044\u7d50\u679c\u304c\u3067\u305f\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<p>1)\u00a0\u00a0\u00a0 \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a, <a href=\"http:\/\/www.ai-gakkai.or.jp\/\">http:\/\/www.ai-gakkai.or.jp<\/a><\/p>\n<p>2)\u00a0\u00a0\u00a0 Deep Collaborative Filtering Deep Learning \u6280\u8853\u306e\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5fdc\u7528\uff0c<\/p>\n<p><a href=\"https:\/\/kaigi.org\/jsai\/webprogram\/2014\/pdf\/491.pdf\">https:\/\/kaigi.org\/jsai\/webprogram\/2014\/pdf\/491.pdf<\/a><\/p>\n<p>3)\u00a0\u00a0\u00a0 Deep Sparse Autoencoder \u306b\u3088\u308b\u8eca\u4e21\u904b\u8ee2\u72b6\u614b\u306e\u53ef\u8996\u5316,<\/p>\n<p>https:\/\/kaigi.org\/jsai\/webprogram\/2014\/pdf\/210.pdf<\/p>\n<p>4)\u00a0\u00a0\u00a0 Deep Learning\u5229\u7528\u6cd5\u3068\u77e5\u898b\u306e\u4f53\u7cfb\u5316\uff0c<\/p>\n<p>https:\/\/kaigi.org\/jsai\/webprogram\/2014\/pdf\/766.pdf<\/p>\n<p>5)\u00a0\u00a0\u00a0 \u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u7d4c\u6e08\u6307\u6a19\u52d5\u5411\u63a8\u5b9a\uff0c<\/p>\n<p>https:\/\/kaigi.org\/jsai\/webprogram\/2014\/pdf\/774.pdf<\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"147\"><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"373\">\u767d\u77f3\u99ff\u82f1<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">2\u30af\u30e9\u30b9\u5206\u985e\u306e\u70ba\u306e\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u305f\u7279\u5fb4\u91cf\u5909\u63db\u624b\u6cd5\u306e\u63d0\u6848<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">A method of multiple feature construction for two symbolic\u00a0 classification problems using Genetic Programming<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"373\">\u767d\u77f3\u99ff\u82f1, \u5409\u7530\u502b\u4e5f\uff0c\u5c71\u672c\u8a69\u5b50,\u00a0 \u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"373\">\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u00a0 \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"373\">\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"373\">\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"373\">2014\/05\/12-2014\/05\/16<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ol>\n<li>\u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/li>\n<\/ol>\n<p>2012\/05\/12\u304b\u30892012\/05\/15\u306b\u304b\u3051\u3066\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a2014<sup>1)<\/sup>\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306f\uff0c\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3066\u304a\u308a\uff0c\u4eba\u5de5\u77e5\u80fd\u306e\u5b9f\u73fe\u306b\u3080\u3051\u305f\uff0c\u6a5f\u68b0\u5b66\u7fd2\u6280\u8853\u306e\u691c\u8a0e\u3084\u5fdc\u7528\u306a\u3069\uff0c\u69d8\u3005\u306a\u767a\u8868\u304c\u884c\u308f\u308c\u307e\u3057\u305f\uff0e\u79c1\u306f\u5168\u65e5\u7a0b\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u677e\u6d66\u3055\u3093\uff0c\u95a2\u8c37\u3055\u3093\uff0c\u5927\u897f\u3055\u3093\uff0c\u5409\u7530\u3055\u3093\uff0c\u5927\u4e45\u4fdd\u3055\u3093\uff0c\u5859\u541b\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"2\">\n<li>\u7814\u7a76\u767a\u8868<\/li>\n<\/ol>\n<p>2.1.\u00a0\u00a0\u00a0 \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f12\u65e5\u306e\u5348\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u3010ID3\u3011-\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5b66\u7fd2\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c15\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30685\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c2\u30af\u30e9\u30b9\u5206\u985e\u306b\u3088\u308b\u8b58\u5225\u30fb\u6c4e\u5316\u80fd\u529b\u3092\u9ad8\u3081\u308b\u70ba\u306e\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u305f\u7279\u5fb4\u91cf\u5909\u63db\u6cd5\u3067\u3042\u308bGPMFC\u3068\u3044\u3046\u624b\u6cd5\u306e\u6539\u826f\u306b\u3064\u3044\u3066\u306e\u767a\u8868\u3067\u3057\u305f\uff0eGPMFC\u306b\u304a\u3044\u3066\uff0c\u8a55\u4fa1\u95a2\u6570\u306e\u554f\u984c\u70b9\u3092\u793a\u3057\uff0c\u305d\u306e\u554f\u984c\u70b9\u3092\u89e3\u6c7a\u3059\u308b\u8a55\u4fa1\u95a2\u6570\u3092\u63d0\u6848\u3057\uff0c\u65e2\u5b58\u624b\u6cd5\u3068\u63d0\u6848\u624b\u6cd5\u306e\u6bd4\u8f03\u3092\u884c\u3044\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"530\">\u79c1\u306f\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u3066\uff0c2\u30af\u30e9\u30b9\u5206\u985e\u3092\u884c\u3046\u70ba\u306e\u7279\u5fb4\u91cf\u5909\u63db\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u4eca\u56de\uff0c\u79c1\u306fSVM\u306b\u3088\u308b\u5206\u985e\u80fd\u529b\u3092\u9ad8\u3081\u308b\u70ba\u306bGP\u306b\u3088\u3063\u3066\u8868\u73fe\u3055\u308c\u308b\u5909\u63db\u5f0f\u306e\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u8003\u5bdf\u3057\u305f\uff0e\u672c\u7a3f\u3067\u306f\uff0c\u5909\u63db\u3055\u308c\u305f\u7279\u5fb4\u91cf\u5e73\u9762\u3092\u8a55\u4fa1\u3059\u308b\u624b\u6cd5\u3068\u3057\u3066\u91cd\u307f\u95a2\u6570\u3068\u3044\u3046\u3082\u306e\u3092\u63d0\u6848\u3057\u305f\uff0e\u3053\u306e\u8a55\u4fa1\u95a2\u6570\u306f\u7406\u60f3\u7684\u306a2\u30af\u30e9\u30b9\u5206\u5e03\u3092\u4eee\u5b9a\u3057\uff0c\u30b5\u30f3\u30d7\u30eb\u304c\u3042\u308b\u3079\u304d\u7bc4\u56f2\u3068\u3044\u3046\u3082\u306e\u3092\u8d8a\u3048\u308b\u3068\uff0c\u91cd\u307f\u304c\u52a0\u7b97\u3055\u308c\u308b\u95a2\u6570\u3067\u3042\u308b\uff0e\u7d50\u679c\u3068\u3057\u3066\uff0c\u8b58\u5225\u7387\u306e\u4f4e\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\uff0c\u63d0\u6848\u624b\u6cd5\u306b\u304a\u3051\u308b\u8b58\u5225\u7387\u306f\u65e2\u5b58\u624b\u6cd5\u306b\u304a\u3051\u308b\u8b58\u5225\u7387\u3088\u308a\u3082\u9ad8\u3044\u7d50\u679c\u3092\u5f97\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>2.2.\u00a0\u00a0\u00a0 \u8cea\u7591\u5fdc\u7b54<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><\/p>\n<p>\u5927\u962a\u5927\u5b66\u6240\u5c5e\u306e\u6cb3\u539f\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u7279\u5fb4\u91cf\u3092\u5909\u63db\u3057\u305f\u969b\u5f8c\u306e\u8b58\u5225\u65b9\u6cd5\u3068\u3057\u3066SVM\u3092\u7528\u3044\u308b\u306e\u304c\u3088\u304f\u308f\u304b\u3089\u306a\u3044\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c2\u30af\u30e9\u30b9\u5206\u985e\u3067\u7cbe\u5ea6\u304c\u9ad8\u3044\u624b\u6cd5\u304cSVM\u3067\u3042\u308b\u306e\u3067\u4f7f\u7528\u3057\u305f\u3068\u89e3\u7b54\u3057\u307e\u3057\u305f\u304c\uff0c\u6539\u3081\u3066\u8003\u3048\u3066\u307f\u308b\u3068\uff0c\u63d0\u6848\u3057\u305f\u8a55\u4fa1\u95a2\u6570\u3068\u306e\u7e4b\u304c\u308a\u304c\u3088\u304f\u308f\u304b\u3089\u306a\u304f\u306a\u3063\u3066\u3044\u3066\uff0c\u5225\u306e\u8b58\u5225\u624b\u6cd5\u306b\u3088\u308b\u691c\u8a0e\u304c\u3042\u3063\u3066\u3082\u826f\u304b\u3063\u305f\u306e\u304b\u306a\u3068\u601d\u3044\u307e\u3057\u305f\u3002\u4eca\u5f8c\u691c\u8a0e\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><\/p>\n<p>\u540d\u53e4\u5c4b\u5927\u5b66\u306e\u5409\u5ddd\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u7dda\u5f62\u5206\u985e\u306b\u3064\u3044\u3066\u306f\u8a55\u4fa1\u304c\u9ad8\u304f\u306a\u308b\u3053\u3068\u306f\u8003\u3048\u3089\u308c\u308b\u304c\uff0c\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u306e\u975e\u7dda\u5f62\u306a\u624b\u6cd5\u306b\u5bfe\u3059\u308b\u6bd4\u8f03\u7d50\u679c\u304c\u3042\u308b\u306e\u304b\u3068\u3044\u3046\u8cea\u554f\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\uff0c\u4eca\u56de\u306e\u691c\u8a0e\u9805\u76ee\u306b\u6319\u3052\u3066\u3044\u307e\u3057\u305f\u4e8b\u9805\u3067\u3042\u308a\u307e\u3059\u306e\u3067\u4eca\u5f8c\u691c\u8a0e\u3059\u308b\u3068\u7b54\u3048\u307e\u3057\u305f\uff0e\u4eca\u5f8c\u7cbe\u5ea6\u6bd4\u8f03\u3057\u307e\u3059\uff0e\u307e\u305f\uff0c\u5f8c\u307b\u3069\u304a\u8a71\u3057\u3059\u308b\u6a5f\u4f1a\u304c\u3042\u308a\uff0c\u751f\u6210\u3057\u305f\u6728\u69cb\u9020\u306b\u5bfe\u3057\u3066\u306e\u8003\u5bdf\u304c\u3042\u3063\u305f\u65b9\u304c\u3044\u3044\u306e\u3067\u306f\u3068\u3044\u3046\u304a\u8a00\u8449\u3092\u9802\u304d\u307e\u3057\u305f\uff0e\u4eca\u5f8c\u306e\u691c\u8a0e\u306b\u52a0\u3048\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2.3.\u00a0\u00a0\u00a0 \u611f\u60f3<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\u521d\u3081\u3066\u306e\u5b66\u4f1a\u767a\u8868\u3067\u3042\u308a\uff0c\u304b\u306a\u308a\u7dca\u5f35\u3057\u307e\u3057\u305f\uff0e\u9014\u4e2d\u3067\u65e9\u304f\u767a\u8868\u304c\u7d42\u308f\u3063\u3066\u6b32\u3057\u3044\u3068\u3044\u3046\u611f\u60c5\u3092\u6301\u3061\u307e\u3057\u305f\u304c\uff0c\u306a\u3093\u3068\u304b\u6301\u3061\u76f4\u3057\u3066\u3044\u307e\u307e\u3067\u306e\u53d6\u308a\u7d44\u307f\u3092\u4f1d\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3068\u601d\u3044\u307e\u3059\uff0e\u4eca\u5f8c\u306f\uff0c\u3053\u306e\u7d4c\u9a13\u3092\u751f\u304b\u3057\u3066\uff0c\u4fee\u58eb\u8ad6\u6587\u306b\u3064\u306a\u3052\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"3\">\n<li>\u8074\u8b1b<\/li>\n<\/ol>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"530\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0 \uff1a\u3000\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3068\u7de8\u96c6\u8ddd\u96e2\u3092\u5229\u7528\u3057\u305f\u7279\u5fb4\u7684\u306a VLDC \u6728\u30d1\u30bf\u30fc\u30f3\u306e\u7372\u5f97\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u4e2d\u5c45 \u7fd4\u5e73,\u5bae\u539f \u54f2\u6d69,\u4e45\u4fdd\u5c71 \u54f2\u4e8c, \u5185\u7530 \u667a\u4e4b, \u9234\u6728 \u7950\u4ecb\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0 \uff1a \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5b66\u7fd2Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Knowledge discovery from structured data is an important task in machine learning and data mining. We propose a learning method for acquiring characteristic tree patterns with VLDC\u2019s from positive and negative tree structured data by using Genetic Programming and tree edit distance. We report experimental results on applying our method to glycan data.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u3066\u7279\u5fb4\u7684\u306a\u6728\u69cb\u9020\u3092\u7de8\u96c6\u8ddd\u96e2\u3092\u5229\u7528\u3057\u3066\u7372\u5f97\u3057\u3066\u3044\u304f\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0e\u3053\u306e\u7814\u7a76\u3067\u306f\u7cd6\u9396\u306e\u69cb\u9020\u3092\u6728\u69cb\u9020\u3068\u3057\u3066\u8868\u73fe\u3059\u308b\u3068\u3044\u3063\u305f\u3001\u79c1\u304c\u7528\u3044\u3066\u3044\u308b\u3068\u306f\u7570\u306a\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3057\u305f\uff0e\u307e\u305f\u6728\u69cb\u9020\u3092\u8a55\u4fa1\u3059\u308b\u969b\u306b\uff0cGP-AUC\u3068\u3044\u3063\u305f\u8a55\u4fa1\u57fa\u6e96\u3092\u3082\u3046\u3051\u3066\u304a\u308a\uff0cROC\u66f2\u7dda\u3092\u3082\u3061\u3044\u3066\u8a55\u4fa1\u3059\u308b\u3068\u3044\u3063\u305f\u65b9\u6cd5\u304c\u63a1\u3089\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u79c1\u306e\u304a\u3053\u306a\u3063\u3066\u3044\u308b\u7814\u7a76\u306b\u3064\u3044\u3066\u3082\u6bd4\u8f03\u3059\u308b\u305f\u3081\u306b\u3053\u306e\u8a55\u4fa1\u95a2\u6570\u3092\u7528\u3044\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"530\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0 \uff1a\u540c\u6642\u60f3\u8d77\u6570\u304b\u3089\u307f\u305f\u77ed\u671f\u30b7\u30ca\u30d7\u30b9\u53ef\u5851\u6027\u3092\u9069\u7528\u3057\u305f\u30ef\u30fc\u30ad\u30f3\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u00a0\u00a0 \u30b0\u30e1\u30e2\u30ea\u30fc\u30e2\u30c7\u30eb\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u7530\u4ef2\u9855\u81f3\uff0c\u4e94\u5341\u5d50\u5eb7\u5f66\uff0c\u5ca1\u7530\u771f\u4eba\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0 \uff1a \u8133\u3068AIAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a In pre-frontal cortex (PFC), electro physiological experiments have established a link between the neuronal activity and working memory that temporary holds information. Previous study propose that the working memory model with short-term synaptic plasticity can reproduce a high activity persistent state and a oscillation activitystate reported by several electro physiological experiments. We study two types of activity comparatively as keeping<\/p>\n<p>multiple items, using working memory model with short-term synaptic plasticity. As a result, working memory<\/p>\n<p>capacity by a high activity persistent state be easily in<\/p>\n<p>uenced with background input, but by a oscillation activity<\/p>\n<p>state be hardly in<\/p>\n<p>uenced with background input.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u8133\u306e\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u3092\u795e\u7d4c\u56de\u8def\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u8a18\u61b6\u72b6\u614b\u30922\u7a2e\u985e\u5b9f\u88c5\u3057\uff0c\u305d\u306e\u6d3b\u52d5\u72b6\u614b\u3092\u6bd4\u8f03\u3059\u308b\u3068\u3044\u3046\u5b9f\u9a13\u3092\u884c\u3063\u3066\u3044\u307e\u3057\u305f\uff0e\u7d50\u679c\u3068\u3057\u3066\u632f\u52d5\u7684\u306a\u767a\u706b\u72b6\u614b\u306e\u65b9\u304c\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8abf\u7bc0\u3057\u305f\u969b\u306e\u8a18\u61b6\u5bb9\u91cf\u304c\u5909\u5316\u305b\u305a\uff0c\u30ed\u30d0\u30b9\u30c8\u6027\u3092\u6301\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u3063\u305f\u3068\u3044\u3046\u3053\u3068\u304c\u5f97\u3089\u308c\u3066\u3044\u305f\uff0e\u79c1\u3082\u795e\u7d4c\u306e\u767a\u706b\u30e2\u30c7\u30eb\u306b\u306f\u8208\u5473\u3092\u6301\u3063\u3066\u3044\u308b\u306e\u3067\u3053\u308c\u3092\u6a5f\u306b\uff0c\u8133\u306e\u795e\u7d4c\u7cfb\u3068\u305d\u306e\u50cd\u304d\u306b\u3064\u3044\u3066\u5b66\u3093\u3067\u3044\u304d\u305f\u3044\u3068\u601d\u3063\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"530\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0 \uff1a\u7dda\u5f62\u91cd\u56de\u5e30\u5206\u6790\u3092\u7528\u3044\u305f\u8a55\u4fa1\u5024\u7a7a\u9593\u3068\u8a2d\u8a08\u5909\u6570\u7a7a\u9593\u3068\u306e\u975e\u5bfe\u5fdc\u9818\u57df\u62bd\u51fa\u6cd5\u306b\u95a2\u3059\u308b\u691c\u8a0e\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u5409\u7530\u3000\u5fb9\uff0c\u5409\u5ddd\u3000\u5927\u5f18\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0 \uff1a \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5fdc\u7528Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aRecently, a lot of studies on Multi-Objective Genetic Algorithm (MOGA), in which Genetic Algorithm is appliedto Multi-objective Optimization Problems (MOPs), have been reported actively. MOGA has been also appliedto engineering design<br \/>\nelds, then it is important not only to obtain high-performance Pareto solutions but alsoto analyze the obtained Pareto solutions and extract the knowledge in the problem. In order to analyze Paretosolutions obtained by MOGA, it is required to consider both the objective space and the design variable space. Inthis paper, we de<br \/>\nne\u201c Non-Correspondence in Linear Relationship \u201dbetween theobjective space and the designvariable space. We also try to extract the Non-Correspondence area in Linear Relationship with the index de<br \/>\nned inthis paper. This paper applies the proposed method to the trajectory designing optimization problem and extracts. Non-Correspondence area in Linear Relationship in the acquired Pareto solutions.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u304a\u3051\u308b\u8a2d\u8a08\u5909\u6570\u7a7a\u9593\u3068\u8a55\u4fa1\u5024\u7a7a\u9593\u306e\u5bfe\u5fdc\u306b\u3064\u3044\u3066\u306e\u767a\u8868\u3067\u3057\u305f\u3002\u826f\u3044\u8a55\u4fa1\u5024\u3092\u5f97\u308b\u305f\u3081\u306b\u3069\u306e\u3088\u3046\u306b\u8a2d\u8a08\u5909\u6570\u3092\u7528\u610f\u3059\u308c\u3070\u3044\u3044\u306e\u304b\u3068\u3044\u3046\u3088\u3046\u306a\u5185\u5bb9\u3067\u8a2d\u8a08\u5909\u6570\u306b\u5bfe\u3057\u3066\u7dda\u5f62\u306b\u8a55\u4fa1\u5024\u304c\u5909\u5316\u3059\u308c\u3070\u305d\u306e\u8a2d\u8a08\u5909\u6570\u306f\u6271\u3044\u3084\u3059\u3044\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\u3002\u3053\u306e\u767a\u8868\u3067\u306f\u7279\u306b\u975e\u7dda\u5f62\u306b\u8a55\u4fa1\u5024\u3068\u5bfe\u5fdc\u3059\u308b\u8a2d\u8a08\u5909\u6570\u306e\u4e2d\u306b\u3082\uff0c\u7dda\u5f62\u306b\u5bfe\u5fdc\u3059\u308b\u9818\u57df\u304c\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u3001\u79c1\u306b\u306f\u305d\u306e\u8a2d\u8a08\u5909\u6570\u3092\u306a\u305c\u7121\u7406\u306b\u3067\u3082\u4f7f\u308f\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u306e\u304b\u308f\u304b\u3089\u305a\uff0c\u3053\u306e\u6210\u679c\u3092\u3069\u306e\u3088\u3046\u306b\u4f7f\u3063\u3066\u3044\u304f\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"530\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0 \uff1a\u5b66\u7fd2\u3042\u308a\u7e70\u308a\u8fd4\u3057\u56da\u4eba\u306e\u30b8\u30ec\u30f3\u30de\u306b\u304a\u3051\u308b\u5354\u8abf\u884c\u52d5\u306e\u767a\u751f\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u9ce5\u5c45 \u62d3\u99ac\uff0c\u65e5\u9ad8 \u6607\u5e73\uff0c\u771f\u9685 \u6681\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0 \uff1a \u5f37\u5316\u5b66\u7fd2Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThe iterated prisoner&#8217;s dilemma (IPD) has been studied as a minimal model of cooperation. One of the keyquestions is the impact of learning|adaptively choosing actions based on past outcomes|on the dynamics of thegame. Past studies have considered two distinct types of learning, the belief learning based on other opponents&#8217;behaviors and the reinforcement learning based on the rewards to its own actions. It has been known that thebelief learners often converge into mutual defection. The potential impacts of the reinforcement learning, however,have not been fully understood yet. This study analyzed the reinforcement learners in the IPD as a<br \/>\nnite Markovprocess, and showed its convergence into mutual cooperation when learning is su\ufb03ciently weighted. Our analysisrevealed that this mutual cooperation emerged in a similar manner as in the IPD of the tit-for-tat strategies, whichare known as the best heuristics. We discuss the e\ufb00ects of learning on mutual cooperation.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u7740\u76ee\u3057\u305f\u306e\u306f\uff0c\u5354\u8abf\u52d5\u4f5c\u306e\u5f37\u5316\u5b66\u7fd2\u306e\u969b\u306e\u5229\u76ca\u3092\u6700\u5927\u5316\u3059\u308b\u70ba\u306e\u6226\u7565\u3092\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u500b\u4eba\u304c\u3069\u306e\u3088\u3046\u306b\u6c7a\u5b9a\u3059\u308b\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\u3002\u6226\u7565\u306e\u5b66\u7fd2\u306e\u969b\u306b\u306f\u5b66\u7fd2\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u5b58\u5728\u3057\u3001\u4eca\u56de\u306f\u5b66\u7fd2\u7387\u306b\u5bfe\u3057\u3066\u3069\u306e\u6226\u7565\u304c\u3068\u3089\u308c\u3066\u3044\u304f\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3092\u8abf\u3079\u3066\u3044\u307e\u3057\u305f\u3002\u7d50\u679c\u3068\u3057\u3066\u306f\u5b66\u7fd2\u7387\u304c\u9ad8\u304f\u306a\u308b\u7a0b\u3001\u4ee5\u524d\u306e\u6226\u7565\u3092\u53c2\u8003\u306b\u3057\u305fTFT\u6226\u7565\u3088\u308a\u3082\u3001\u76f8\u624b\u304c\u4e00\u5ea6\u88cf\u5207\u308c\u3070\u3001\u305d\u306e\u5f8c\u306f\u5168\u3066\u88cf\u5207\u308b\u3068\u3044\u3063\u305f\u3088\u3046\u306aWSIS\u6226\u7565\u304c\u63a1\u3089\u308c\u308b\u3068\u3044\u3063\u305f\u7d50\u679c\u3068\u306a\u3063\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<p>1)\u00a0 \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a2014, http:\/\/www.ai-gakkai.or.jp\/jsai2014\/<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"147\"><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"373\">\u95a2\u8c37\u99ff\u4ecb<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">\u7d30\u80de\u9818\u57df\u5206\u5272\u306e\u305f\u3081\u306e\u753b\u50cf\u51e6\u7406GP\u306b\u304a\u3051\u308b\u5b66\u7fd2\u9818\u57df\u6c7a\u5b9a\u6cd5\u306e\u691c\u8a0e<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">Decision Method of Learning Region in Image-Processing GP for Cell Segmentation<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"373\">\u95a2\u8c37\u99ff\u4ecb, \u5e03\u5ddd\u5c06\u6765\u4eba, \u5c0f\u6cc9\u7bc4\u5b50, \u5965\u6751\u76f4\u6bc5, \u5c71\u672c\u8a69\u5b50, \u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"373\">\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"373\">2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c28\u56de)<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"373\">\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb(\u611b\u5a9b\u770c\u770c\u6c11\u6587\u5316\u4f1a\u9928)<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"373\">2014\/05\/12-2014\/05\/15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/p>\n<p>2014\/05\/12\u304b\u30892014\/05\/15\u306b\u304b\u3051\u3066\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u306e\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c28\u56de)\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u5b66\u4f1a\u306f\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u5b66\u4f1a\u3067\u5b66\u751f\u3084\u6559\u54e1\uff0c\u4f01\u696d\u306e\u7814\u7a76\u8005\u304c\u53c2\u52a0\u3057\u3066\uff0c\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u6700\u65b0\u6210\u679c\u3092\u8b70\u8ad6\u3057\uff0c\u305d\u306e\u6210\u679c\u306e\u793e\u4f1a\u3078\u306e\u8abf\u548c\u7684\u9084\u5143\u306b\u3064\u3044\u3066\u8003\u3048\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>\u79c1\u306f\u5168\u65e5\u7a0b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u7530\u4e2d\u5148\u751f\uff0c\u677e\u6d66\uff0c<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u7814\u7a76\u767a\u8868<\/p>\n<p>1.1. \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f13\u65e5\u306e\u5348\u524d\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u6700\u9069\u5316\u30fbAI\u5fdc\u7528\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c15\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30685\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u7d30\u80de\u9818\u57df\u5206\u5272\u306e\u554f\u984c\u306b\u5bfe\u3057\u3066\u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u7528\u3044\u305f\u753b\u50cf\u51e6\u7406\u30d5\u30a3\u30eb\u30bf\u306e\u7d44\u307f\u5408\u308f\u305b\u6700\u4f4e\u5316\u624b\u6cd5\u3092\u9069\u7528\u3059\u308b\u969b\uff0c\u5b66\u7fd2\u9818\u57df\u3092\u6c7a\u5b9a\u3059\u308b\u624b\u6cd5\u306b\u3064\u3044\u3066\u767a\u8868\u3057\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">In tissue engineering for the corneal endothelium, the quality evaluation of cultured cell is performed by extracting the feature values from cell images. In order to support the evaluation, we previously proposed a feature extraction system that uses learning region and Genetic Programming. In this paper, a decision method of the learning region is proposed by using texture feature values and clustering. The experiment shows that the proposed method improves the performance of the system.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>1.2. \u8cea\u7591\u5fdc\u7b54<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><\/p>\n<p>\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\u6240\u5c5e\u306e\u52a0\u85e4\u6607\u5e73\u3055\u3093\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u5b66\u7fd2\u9818\u57df\u306e\u5019\u88dc\u306f\u5358\u7d14\u306b\u5bfe\u8c61\u753b\u50cf\u3092\u533a\u5207\u3063\u305f\u9818\u57df\u3060\u3051\u306a\u306e\u304b\uff0c\u91cd\u8907\u3057\u305f\u9818\u57df\u3082\u8003\u616e\u306b\u5165\u308c\u308b\u3079\u304d\u3067\u306f\u306a\u3044\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c\u4eca\u56de\u306e\u5b9f\u9a13\u3067\u306f\u8a66\u9a13\u7684\u306b\u5bfe\u8c61\u753b\u50cf\u3092\u5358\u7d14\u306b\u533a\u5207\u3063\u305f\u9818\u57df\u306e\u307f\u3092\u5019\u88dc\u3068\u3057\u307e\u3057\u305f\u304c\uff0c\u91cd\u8907\u3055\u305b\u3066\u7d30\u304b\u304f\u9818\u57df\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u3082\u8003\u3048\u3066\u3044\u308b\uff0c\u3067\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><\/p>\n<p>\u540d\u53e4\u5c4b\u5927\u5b66\u6240\u5c5e\u306e\u5409\u5ddd\u5927\u5f18\u3055\u3093\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306fGA\u306e\u30c6\u30af\u30b9\u30c1\u30e3\u7279\u5fb4\u91cf\u306e\u9078\u629e\u306e\u969b\uff0c\u4e88\u60f3\u3055\u308c\u308b\u30af\u30e9\u30b9\u30bf\u5185\u3060\u3051\u3092\u9069\u5408\u5ea6\u306e\u8003\u616e\u306b\u5165\u308c\u308b\u3079\u304d\u3067\u306f\u306a\u3044\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c\u305d\u306e\u901a\u308a\u3067\uff0c\u4eca\u56de\u306eGA\u306e\u9069\u5408\u5ea6\u95a2\u6570\u306e\u8a2d\u5b9a\u306f\u672a\u5b66\u7fd2\u9818\u57df\u306e\u5206\u5272\u7cbe\u5ea6\u3092\u5168\u3066\u8a55\u4fa1\u306b\u5165\u308c\u308b\u305f\u3081\uff0c\u52b9\u7387\u7684\u306a\u63a2\u7d22\u304c\u3067\u304d\u306a\u304b\u3063\u305f\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0c\u3067\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>1.3. \u611f\u60f3<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u3067\u306f\uff0c\u7814\u7a76(\u767a\u8868)\u76ee\u7684\u306b\u305f\u3069\u308a\u7740\u304f\u307e\u3067\u306b\u591a\u304f\u306e\u7814\u7a76\u80cc\u666f\u3092\u8ff0\u3079\u308b\u5fc5\u8981\u304c\u3042\u3063\u305f\u305f\u3081\uff0c\u8a71\u306e\u69cb\u9020\u304c\u8074\u8b1b\u8005\u306b\u4f1d\u308f\u308a\u3084\u3059\u3044\u30d7\u30ec\u30bc\u30f3\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u63d0\u6848\u3059\u308b\u624b\u6cd5\u81ea\u4f53\u3082\u624b\u9806\u304c\u8907\u96d1\u3067\u3042\u308b\u305f\u3081\uff0c\u30b3\u30f3\u30bb\u30d7\u30c8\u3092\u3057\u3063\u304b\u308a\u4f1d\u3048\u308b\u3053\u3068\u3068\u7c21\u6f54\u306a\u8aac\u660e\u304c\u5fc5\u8981\u3067\u3057\u305f\uff0e\u305d\u306e\u305f\u3081\uff0c\u30d7\u30ec\u30bc\u30f3\u306e\u4ed5\u65b9\u306b\u82e6\u52b4\u3057\u305f\u5b66\u4f1a\u3068\u306a\u308a\u307e\u3057\u305f\uff0e\u767a\u8868\u5f8c\u306e\u8cea\u554f\u5185\u5bb9\u304b\u3089\u5bdf\u3059\u308b\u306b\uff0c\u81ea\u5206\u306e\u63d0\u6848\u304c\u8074\u8b1b\u8005\u306b\u7406\u89e3\u3055\u308c\u3066\u3044\u305f\u306e\u304b\u306a\u3068\u611f\u3058\u3089\u308c\u305f\u306e\u3067\uff0c\u3072\u3068\u307e\u305a\u5b89\u5fc3\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>2. \u8074\u8b1b<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u6d77\u6d0b\u89b3\u6e2c\u30c7\u30fc\u30bf\u306e\u826f\u5426\u5206\u985e\u306b\u5411\u3051\u305f\u521d\u671f\u691c\u8a0e\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u677e\u5c71\u958b\uff0c\u5c0f\u91ce\u667a\u53f8\uff0c\u798f\u4e95\u5065\u4e00\uff0c\u7d30\u7530\u6ecb\u6bc5<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30b0\u30ea\u30fc\u30f3AI \uff5e\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u74b0\u5883\u8ca2\u732e\uff5e (1)<\/p>\n<p>Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Argo, a global ocean monitoring system for climate change, consists of more than 3,000 \ufb02oats located in the global oceans and is operated by over 30 countries. Every 10 days, the Argo \ufb02oats produce temperature and salinity data at a depth from 2,000m to the surface of the sea. However, it was inevitable to observe the ocean without any errors due to substance adhesion, sensor failure and other reasons. The goal of this study is to propose a method for error detection of the observation data by the \ufb02oats, which has been performed by a human expert. Before designing the error detection method, this paper surveys the cases corrected by the expert and comprehensively understands the property of the observation data so that appropriate machine learning models and features are revealed for error detection.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u6d77\u6d0b\u306e\u6e29\u5ea6\u3084\u5869\u5206\u30c7\u30fc\u30bf\u3092\u8a08\u6e2c\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u6c17\u5019\u5909\u52d5\u3092\u76e3\u8996\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3067\u3042\u308bArgo\u304a\u3044\u3066\uff0c\u5c02\u9580\u5bb6\u306b\u3088\u3063\u3066\u884c\u308f\u308c\u308b\u8a08\u6e2c\u30bb\u30f3\u30b5\u306e\u30a8\u30e9\u30fc\u691c\u51fa\u3092\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u3063\u3066\u884c\u3046\u624b\u6cd5\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u63d0\u6848\u624b\u6cd5\u3067\u306f\uff0c\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3042\u308b\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7(Self-Organizing Map :SOM) \u3092\u7528\u3044\u3066\u8a08\u6e2c\u30c7\u30fc\u30bf\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u884c\u3046\u3053\u3068\u306b\u3088\u308a\uff0c\u30a8\u30e9\u30fc\u30d1\u30bf\u30fc\u30f3\u306e\u5168\u4f53\u306e\u4fef\u77b0\u3092\u8a66\u307f\u3066\u3044\u307e\u3057\u305f\uff0e\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u306f\uff0c\u81ea\u8eab\u306e\u7814\u7a76\u306b\u304a\u3044\u3066\u5b66\u7fd2\u9818\u57df\u306e\u53d6\u5f97\u3092\u884c\u3046\u5fc5\u8981\u304c\u306a\u3044\u306e\u3067\u53c2\u8003\u306b\u3057\u305f\u3044\u624b\u6cd5\u3060\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u591a\u76ee\u7684\u6700\u9069\u5316\u6cd5\u306b\u3088\u308b\u9069\u5207\u306a\u30e2\u30c7\u30eb\u7fa4\u306e\u63a2\u7d22\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u677e\u9999\u654f\u5f66<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5b66\u7fd2<\/p>\n<p>Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u7d71\u8a08\u30e2\u30c7\u30eb\u306e\u591a\u304f\u306f\u5b66\u8aac\u3084\u7406\u8ad6\u3092\u57fa\u306b\u69cb\u7bc9\u3055\u308c\uff0c\u30c7\u30fc\u30bf\u3068\u306e\u9069\u5408\u5ea6\u306b\u3088\u3063\u3066\uff0c\u30e2\u30c7\u30eb\u3084\u305d\u306e\u57fa\u3068\u306a\u3063\u305f\u7406\u8ad6\u306e\u59a5\u5f53\u6027\u304c\u691c\u8a3c\u3055\u308c\u3066\u304d\u305f\uff0e\u5bfe\u8c61\u3068\u306a\u308b\u7d71\u8a08\u30e2\u30c7\u30eb\u304c1\u3064\u306e\u5834\u5408\u306f\uff0c\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u305f\u5834\u5408\u306b\uff0c\u305d\u306e\u30e2\u30c7\u30eb\u306e\u7d71\u8a08\u7684\u59a5\u5f53\u6027\u304c\u793a\u3055\u308c\u305f\u3053\u3068\u306b\u306a\u308b\uff0e\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u6bd4\u8f03\u3059\u308b\u969b\u306f\uff0cAIC\u306a\u3069\u306e\u3088\u3046\u306b\u5358\u306a\u308b\u30c7\u30fc\u30bf\u3068\u306e\u9069\u5408\u5ea6\u3067\u306f\u306a\u304f\uff0c\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u6027\u3092\u52a0\u5473\u3057\uff0c\u3088\u308a\u6c4e\u5316\u80fd\u529b\u306e\u9ad8\u3044\u30e2\u30c7\u30eb\u3092\u63a1\u629e\u3059\u308b\u3053\u3068\u304c\u4e00\u822c\u7684\u3067\u3042\u308b\uff0e\u3069\u3061\u3089\u306e\u65b9\u6cd5\u3082\uff0c\u6700\u7d42\u7684\u306b\u306f1\u3064\uff0c\u3082\u3057\u304f\u306f\u3054\u304f\u5c11\u6570\u306e\u30e2\u30c7\u30eb\u3092\u300c\u9069\u5207\u300d\u306a\u30e2\u30c7\u30eb\u3068\u3057\u3066\u63a1\u629e\u3057\uff0c\u305d\u306e\u89e3\u6790\u7d50\u679c\u304b\u3089\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3084\u69cb\u9020\u3092\u7406\u89e3\u30fb\u8003\u5bdf\u3059\u308b\u3053\u3068\u304c\u4e00\u822c\u7684\u3067\u3042\u308b\uff0e\u3053\u308c\u3089\u306e\u7d71\u8a08\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u69d8\u3005\u306a\u5b66\u8aac\u3084\u7406\u8ad6\u304c\u691c\u8a3c\u3055\u308c\u79d1\u5b66\u306f\u767a\u5c55\u3057\u3066\u304d\u305f\uff0e\u4e00\u65b9\u3067\uff0c\u9006\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3068\u3057\u3066\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u8907\u6570\u306e\u9069\u5207\u306a\u30e2\u30c7\u30eb\u3092\u63a2\u7d22\u3057\uff0c\u65b0\u305f\u306a\u4eee\u8aac\u3092\u751f\u6210\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3082\u8003\u3048\u3089\u308c\u308b\uff0e\u672c\u7814\u7a76\u3067\u306f\u9032\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u57fa\u790e\u3068\u3057\u305f\u591a\u76ee\u7684\u6700\u9069\u5316\u6cd5\u3092\u7528\u3044\u3066\u30e2\u30c7\u30eb\u30b9\u30da\u30fc\u30b9\u3092\u63a2\u7d22\u3057\uff0c\u8907\u6570\u306e\u9069\u5207\u306a\u30e2\u30c7\u30eb\u7fa4\u3092\u63a2\u7d22\u30fb\u8b58\u5225\u3059\u308b\u4f8b\u3092\u7d39\u4ecb\u3059\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u591a\u76ee\u7684\u6700\u9069\u5316\u624b\u6cd5\u3092\u9069\u5207\u306a\u7d71\u8a08\u30e2\u30c7\u30eb\u306e\u63a2\u7d22\u306b\u5fdc\u7528\u3059\u308b\u4f8b\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u3053\u308c\u307e\u3067\u306b\u79c1\u304c\u898b\u805e\u3057\u3066\u304d\u305f\u591a\u76ee\u7684\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u7814\u7a76\u3067\u306f\uff0c\u8a2d\u8a08\u554f\u984c\u306a\u3069\u5de5\u5b66\u7684\u5fdc\u7528\u306b\u95a2\u3059\u308b\u3082\u306e\u304c\u307b\u3068\u3093\u3069\u3067\u3042\u3063\u305f\u306e\u3067\u3053\u306e\u3088\u3046\u306a\u5fdc\u7528\u4e8b\u4f8b\u3082\u77e5\u308c\u3066\u3088\u304b\u3063\u305f\u3067\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000\u533b\u7642\u753b\u50cf\u306b\u304a\u3051\u308b\u5c40\u6240\u7279\u5fb4\u91cf\u306e\u691c\u77e5\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u4e2d\u91ce\u54f2\u5e73<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3<\/p>\n<p>Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Medical images are stored every\u3000day and ready for being analyzed machine learning algorithms. This work presents real\u3000time and simple analysis for feature detection. Non-parametric Nearest-Neighbor (NN) based image classifiers is suitable because it requires no training time, has other favorable properties. This algorithm aims for classifying medical image features in real-time with a number of images. I tested the algorithm using eye fundus images that have two classes: normal and diabetic retinopathy (DR). DR is one of the top causes of blindness.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u7cd6\u5c3f\u75c5\u60a3\u8005\u306b\u898b\u3089\u308c\u308b\u7db2\u819c\u75c7\u306b\u3088\u308b\u7570\u5e38\u691c\u77e5\u3092\u773c\u5e95\u753b\u50cf\u306e\u5c40\u6240\u7279\u5fb4\u91cf\u3092\u7528\u3044\u3066\u884c\u3046\u624b\u6cd5\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u5c40\u6240\u7279\u5fb4\u91cf\u3068\u3057\u3066SIFT\u7279\u5fb4\u91cf\u3092\u7528\u3044\u3066\u304a\u308a\uff0cK\u8fd1\u508d\u63a2\u7d22\u306b\u3088\u3063\u3066\u6b63\u5e38\u30fb\u7570\u5e38\u306e\u30af\u30e9\u30b9\u5206\u985e\u3092\u884c\u3063\u3066\u3044\u307e\u3057\u305f\uff0eK\u8fd1\u508d\u63a2\u7d22\u6642\u306eK\u306e\u5024\u306e\u6c7a\u5b9a\u306e\u4ed5\u65b9\u306f\u4eca\u5f8c\u306e\u8ab2\u984c\u3067\u3059\u304c\uff0c\u30b7\u30f3\u30d7\u30eb\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u5206\u985e\u7cbe\u5ea6\u304c90%\u7cbe\u5ea6\u3068\u3044\u3046\u306e\u306f\uff0c\u5b9f\u7528\u9762\u304b\u3089\u3082\u8003\u3048\u3066\u6709\u52b9\u3067\u3042\u308b\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Dual Goal Model \u770b\u8b77\u30b5\u30fc\u30d3\u30b9\u884c\u70ba\u306b\u304a\u3051\u308b\u7269\u7406\u7684\/\u7cbe\u795e\u7684\u30b4\u30fc\u30eb\u306e\u7d71\u4e00\u7684\u30e2\u30c7\u30eb\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u897f\u6751\u609f\u53f2\uff0c\u4f86\u6751\u5fb3\u4fe1\uff0c\u6e9d\u53e3\u7406\u4e00\u90ce<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u533b\u7642\u306b\u304a\u3051\u308b\u77e5\u8b58\u5171\u6709<\/p>\n<p>Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aRecently, nursing actions from the viewpoint of patient satisfaction have been interpreted as services. However, little is known concerning representation of mental actions for the patient satisfaction and its relationship with physical actions. The authors have proposed CHARM as a goal-oriented representation model mainly for physical actions. This paper proposes Dual Goal Model which can represent the physical actions and the mental actions with their relations in order to achieve the explicit a physical goal and a mental goal such as \u201ca patient is satisfied\u201d. Through the modeling of some actions in nursing\/medical documents, the representation ability of the model is demonstrated.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u770b\u8b77\u5e2b\u306e\u4e3b\u76ee\u7684(\u6cbb\u7642\u4e0a\u306e\u30b4\u30fc\u30eb)\u3068\u526f\u76ee\u7684(\u60a3\u8005\u306e\u7cbe\u795e\u7684\u306a\u30b4\u30fc\u30eb)\u306e\u53cc\u65b9\u3092\u9054\u6210\u3059\u308b\u305f\u3081\u306b\u305d\u306e\u884c\u52d5\u6307\u91dd\u3092\u78ba\u7acb\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\uff0e\u76ee\u7684\u9054\u6210\u306e\u305f\u3081\u306b\u5b9f\u884c\u3055\u308c\u308b\u884c\u70ba\u3092\u6728\u69cb\u9020\u72b6\u306b\u69cb\u9020\u5316\u3057\uff0c\u305d\u306e\u884c\u70ba\u304c\u6cbb\u7642\u4e0a\u306e\u30b4\u30fc\u30eb\u3068\u7cbe\u795e\u7684\u306a\u30b4\u30fc\u30eb\u306e\u53cc\u65b9\u306b\u8ca2\u732e\u3059\u308b\u5834\u5408\u306b\u7d71\u4e00\u7684\u306b\u8868\u73fe\u3057\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u69cb\u9020\u7684\u8868\u73fe\u3092\u884c\u3046\u3053\u3068\u3067\uff0c\u3069\u3093\u306a\u884c\u70ba\u304c\u53cc\u65b9\u306e\u76ee\u7684\u3092\u9054\u6210\u3067\u304d\u308b\u304b\u304c\u5bb9\u6613\u306b\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\uff0c\u770b\u8b77\u5e2b\u306e\u7814\u4fee\u306a\u3069\u306b\u5f79\u7acb\u3064\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\uff0e\u3053\u306e\u3088\u3046\u306a\u76ee\u7684\u9054\u6210\u306e\u305f\u3081\u306e\u884c\u52d5\u3092\u69cb\u9020\u5316\u3059\u308b\u3053\u3068\u306f\uff0c\u6559\u80b2\u3055\u308c\u308b\u5074\u3082\u7406\u89e3\u3057\u3084\u3059\u3044\u3068\u611f\u3058\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u533b\u7642\u30b5\u30fc\u30d3\u30b9\u3060\u3051\u3067\u306a\u304f\uff0c\u69d8\u3005\u306a\u30b5\u30fc\u30d3\u30b9\u696d\u306e\u5206\u91ce\u3067\u5fdc\u7528\u3067\u304d\u308b\u305f\u3081\uff0c\u4eca\u5f8c\u306e\u767a\u5c55\u304c\u697d\u3057\u307f\u3067\u3059\uff0e<\/p>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<p>1)\u00a0\u00a0\u00a0 2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c28\u56de), http:\/\/www.ai-gakkai.or.jp\/jsai2014<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"183\"><strong>\u00a0<\/strong><\/p>\n<p><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"467\">&nbsp;<\/p>\n<p>\u677e\u6d66\u79c0\u884c<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">\u5c02\u9580\u5bb6\u304c\u826f\u597d\u3068\u5224\u65ad\u3059\u308b\u89d2\u819c\u5185\u76ae\u7d30\u80de\u753b\u50cf\u751f\u6210\u30b7\u30b9\u30c6\u30e0<\/p>\n<p>\u30fc\u5c02\u9580\u5bb6\u306b\u3088\u308b\u30b7\u30b9\u30c6\u30e0\u8a55\u4fa1\u5b9f\u9a13\u306b\u95a2\u3059\u308b\u691c\u8a0e\u30fc<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"467\">System generating better cell images based on the judgement of experts<\/p>\n<p>&#8211; Examination about the system evaluation experiment by experts-<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"467\">\u677e\u6d66\u79c0\u884c\uff0c\u4e0a\u5800\u8056\u53f2\uff0c\u5c71\u672c\u8a69\u5b50\uff0c\u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"467\">\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"467\">2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"467\">\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb<\/td>\n<\/tr>\n<tr>\n<td width=\"183\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"467\">2014\/5\/12-15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/p>\n<p>2014\/5\/12\u304b\u30892014\/5\/15\u306b\u304b\u3051\u307e\u3057\u3066\uff0c\u611b\u5a9b\u770c\u677e\u5c71\u5e02\u306b\u3042\u308b\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u5927\u4f1a\u306f\uff0c\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u306b\u3088\u3063\u3066\u958b\u50ac\u3055\u308c\u305f\u5b66\u4f1a\u3067\uff0c\u4e00\u822c\u767a\u8868\u30bb\u30c3\u30b7\u30e7\u30f3\u3092\u306f\u3058\u3081\uff0c\u30aa\u30fc\u30ac\u30ca\u30a4\u30ba\u30c9\u30bb\u30c3\u30b7\u30e7\u30f3\uff0c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3\u306a\u3069\u591a\u304f\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u304c\u8a2d\u3051\u3089\u308c\uff0c\u76db\u3093\u306a\u60c5\u5831\u4ea4\u63db\u3084\u7814\u7a76\u4ea4\u6d41\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>\u79c1\u306f5\u670812\u65e5\u304b\u308915\u65e5\u306b\u304b\u3051\u3066\u5168\u3066\u306e\u65e5\u7a0b\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u79c1\u306e\u4ed6\u306b\u5927\u4e45\u4fdd\uff0c\u5927\u897f\uff0c\u767d\u77f3\uff0c\u95a2\u8c37\uff0c\u5859\uff0c\u5409\u7530\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u7530\u4e2d\u5148\u751f\u3068\u5ee3\u5b89\u5148\u751f\u304c\u79c1\u305f\u3061\u306e\u53e3\u982d\u767a\u8868\u3092\u8074\u304d\u306b\u304d\u3066\u304f\u3060\u3055\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>\u305d\u306e\u8b1b\u6f14\u4f1a\u304c\uff0c\u3069\u3046\u3044\u3046\u4e3b\u65e8\uff0c\u7814\u7a76\u9818\u57df\u306e\u7814\u7a76\u4f1a\u306a\u306e\u304b\u306b\u3064\u3044\u3066\u8aac\u660e<\/p>\n<p>\u30fb\u8b1b\u6f14\u4f1a\u306eWeb\u30b5\u30a4\u30c8\u304c\u3042\u308b\u306a\u3089\uff0c\u8b1b\u6f14\u4f1a\u540d\u306e\u70b9\u3067\u53c2\u7167\u3059\u308b<\/p>\n<p>\u30fb\u81ea\u5206\u306e\u53c2\u52a0\u65e5\u7a0b\u3068\uff0c\u4ed6\u306e\u53c2\u52a0\u8005\u306b\u3064\u3044\u3066\u8aac\u660e<\/p>\n<p>&nbsp;<\/p>\n<p>2. \u7814\u7a76\u767a\u8868<\/p>\n<p>2.1. \u767a\u8868\u6982\u8981<\/p>\n<p>\u79c1\u306f13\u65e5\u306e\u5348\u524d\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u30102D1\u3011\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u6700\u9069\u5316\u30fbAI\u5fdc\u7528\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c15\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30685\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<\/p>\n<p>\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u5c02\u9580\u5bb6\u306e\u89d2\u819c\u5185\u76ae\u7d30\u80de\u8a3a\u65ad\u306b\u304a\u3051\u308b\uff0c\u5c02\u9580\u5bb6\u306e\u5224\u65ad\u57fa\u6e96\u306e\u62bd\u51fa\u3092\u76ee\u7684\u3068\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u3092\u5bfe\u8a71\u578b\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u3066\u69cb\u7bc9\u3057\uff0c\u8a55\u4fa1\u5b9f\u9a13\u3092\u884c\u3063\u305f\u7d50\u679c\u306b\u3064\u3044\u3066\u306e\u767a\u8868\u3067\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u8fd1\u5e74\uff0c\u89d2\u819c\u306e\u75c5\u6c17\u306b\u5bfe\u3059\u308b\u6cbb\u7642\u3067\u306f\u5c02\u9580\u5bb6\u306e\u76ee\u8996\u306b\u3088\u3063\u3066\u89d2\u819c\u306e\u8a55\u4fa1\u304c\u884c\u308f\u308c\u3066\u3044\u308b\u304c\uff0c\u76ee\u8996\u306b\u3088\u308b\u5224\u65ad\u306f\u5c02\u9580\u5bb6\u306b\u3088\u3063\u3066\u7cbe\u5ea6\u304c\u7570\u306a\u308b\u554f\u984c\u304c\u3042\u308b\uff0e\u3088\u3063\u3066\uff0c\u672c\u7814\u7a76\u3067\u306f\u7d30\u80de\u8a3a\u65ad\u306b\u304a\u3051\u308b\u5ba2\u89b3\u7684\u8a55\u4fa1\u57fa\u6e96\u306e\u78ba\u7acb\u3092\u76ee\u7684\u3068\u3057\uff0c\u5c02\u9580\u5bb6\u304c\u826f\u597d\u3068\u5224\u65ad\u3059\u308b\u89d2\u819c\u5185\u76ae\u7d30\u80de\u753b\u50cf\u3092\u751f\u6210\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3092\u5bfe\u8a71\u578b\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u3066\u69cb\u7bc9\u3057\u305f\uff0e\u672c\u7a3f\u3067\u306f\uff0c\u69cb\u7bc9\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u306e\u6982\u8981\u3068\u5c02\u9580\u5bb6\u306b\u3088\u308b\u30b7\u30b9\u30c6\u30e0\u8a55\u4fa1\u5b9f\u9a13\u306e\u7d50\u679c\u306b\u3064\u3044\u3066\u8ff0\u3079\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>\u30fb\u81ea\u5206\u306e\u8b1b\u6f14\u65e5\u7a0b\uff0c\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\uff0c\u767a\u8868\u5f62\u5f0f<\/p>\n<p>\u30fb\u4eca\u56de\u306e\u767a\u8868\u5185\u5bb9\u306b\u3064\u3044\u3066\u7c21\u5358\u306b\u8aac\u660e<\/p>\n<p>2.2. \u8cea\u7591\u5fdc\u7b54<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><\/p>\n<p>\u300c\u306a\u305c\u30e2\u30c7\u30eb\u753b\u50cf\u3092\u751f\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\uff1f\u300d<\/p>\n<p>\u8cea\u554f\u8005\u306e\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\u306e\u52a0\u85e4\u5148\u751f\u304b\u3089\u8cea\u554f\u9802\u304d\u307e\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u306f\uff0c\u300c\u672c\u30b7\u30b9\u30c6\u30e0\u306b<\/p>\n<p>\u304a\u3044\u3066\u63d0\u793a\u3059\u308b\u753b\u50cf\u306f\u591a\u69d8\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5024\u3092\u6301\u3064\u753b\u50cf\u304c\u5fc5\u8981\u3067\u3042\u308a\uff0c\u5b9f\u969b\u306e\u753b\u50cf\u3067\u306f\u7528\u610f\u3059\u308b\u3053\u3068\u304c\u56f0\u96e3\u3067\u3042\u308b\u305f\u3081\uff0c\u30e2\u30c7\u30eb\u753b\u50cf\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3068\u7b54\u3048\u307e\u3057\u305f\uff0e<\/p>\n<p><strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><\/p>\n<p>\u300c\u5b9f\u9a13\u7d50\u679c\u306b\u304a\u3044\u3066\u5c02\u9580\u5bb62\u540d\u306e\u57fa\u6e96\u304c\u8fd1\u3044\u3068\u8a00\u3063\u3066\u3044\u305f\u304c\uff0c\u305d\u306e2\u540d\u306e\u5c02\u9580\u5bb6\u306e\u57fa\u6e96\u304c\u8fd1\u304f\u306a\u3044\u30b0\u30e9\u30d5\u3082\u3042\u308b\u306e\u3067\u306f\u306a\u3044\u304b\uff1f\u300d<\/p>\n<p>\u540d\u53e4\u5c4b\u5927\u5b66\u306e\u5409\u5ddd\u5148\u751f\u304b\u3089\u8cea\u554f\u9802\u304d\u307e\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u306f\uff0c\u300c\u4e00\u822c\u7684\u306b\u306f\uff0c\u4eca\u56de\u7d39\u4ecb\u3057\u305f\u4e09\u3064\u306e\u7279\u5fb4\u91cf\u3092\u5224\u65ad\u57fa\u6e96\u3068\u3057\u3066\u3044\u308b\u3068\u5c02\u9580\u5bb6\u306e\u65b9\u304b\u3089\u805e\u3044\u3066\u3044\u307e\u3059\u304c\uff0c\u7279\u306b\u9762\u7a4d\u306e\u3070\u3089\u3064\u304d\u306b\u95a2\u3057\u3066\u306f\u7279\u306b\u91cd\u8981\u306a\u6307\u6a19\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u3063\u3066\u3044\u307e\u3059\uff0e\u4eca\u56de\u306e\u7d50\u679c\u3067\u306f\uff0c\u516d\u89d2\u5f62\u306e\u5272\u5408\u306b\u95a2\u3057\u3066\u306f\u7814\u7a76\u5f93\u4e8b\u5e74\u6570\u304c\u9577\u3044\u4e8c\u540d\u306e\u5c02\u9580\u5bb6\u306e\u57fa\u6e96\u304c\u8fd1\u304f\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u304c\uff0c\u9762\u7a4d\u306e\u3070\u3089\u3064\u304d\u306b\u95a2\u3057\u3066\u306f\u826f\u597d\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\uff0e\u300d\u3068\u7b54\u3048\u307e\u3057\u305f\uff0e<\/p>\n<p>2.3. \u611f\u60f3<\/p>\n<p>\u4eca\u56de\u306e\u5b66\u4f1a\u3067\u306f\u521d\u3081\u3066\u306e\u53e3\u982d\u767a\u8868\u3067\u524d\u65e5\u307e\u3067\u306f\u3068\u3066\u3082\u7dca\u5f35\u3057\u3066\u3044\u307e\u3057\u305f\u304c\uff0c\u672c\u756a\u3067\u306f\u843d\u3061\u7740\u3044\u3066\u767a\u8868\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff0e\u3057\u304b\u3057\uff0c\u5148\u751f\u65b9\u304b\u3089\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u306f\u3046\u307e\u304f\u7b54\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u305a\uff0c\u7814\u7a76\u306e\u5185\u5bb9\u306f\u3082\u3061\u308d\u3093\uff0c\u3082\u3063\u3068\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u306e\u7406\u89e3\u3092\u6df1\u3081\u306a\u3051\u308c\u3070\u3044\u3051\u306a\u3044\u306a\u3068\u601d\u3044\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u767a\u8868\u5f8c\u306f\u9e7f\u5150\u5cf6\u5927\u5b66\u306e\u5c0f\u91ce\u5148\u751f\u304b\u3089\u3082\u8cea\u554f\u3092\u9802\u304d\uff0c\u81ea\u5206\u306e\u7814\u7a76\u306b\u5bfe\u3057\u3066\u8208\u5473\u3092\u6301\u3063\u3066\u3044\u305f\u3060\u3044\u305f\u3053\u3068\u3092\u975e\u5e38\u306b\u3046\u308c\u3057\u304f\u611f\u3058\u305f\u5b66\u4f1a\u3067\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u8074\u8b1b<\/p>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000\u30c7\u30b9\u30af\u30ef\u30fc\u30af\u6642\u306e\u7740\u5ea7\u59ff\u52e2\u306e\u8a55\u4fa1\u65b9\u6cd5\u306e\u63d0\u6848<\/p>\n<p>\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5185\u85e4\u5b5d\u96c4\uff0c\u9ed2\u9808\u8aa0\u6cbb<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u8ddd\u96e2\u30bb\u30f3\u30b5\u30fc\u3068\u4f53\u5727\u30bb\u30f3\u30b5\u30fc\u306e2\u7a2e\u985e\u306e\u30bb\u30f3\u30b5\u30fc\u3092\u7528\u3044\u3066\uff0c\u6905\u5b50\u306b\u5ea7\u3063\u3066\u3044\u308b\u4eba\u306e\u59ff\u52e2\u3092\u691c\u77e5\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\uff0e\u3053\u306e\u767a\u8868\u3067\u306f\u4f5c\u696d\u6642\u306e\u59ff\u52e2\u306e\u6539\u5584\u306b\u3088\u308b\u696d\u52d9\u52b9\u7387\u306e\u5411\u4e0a\u3092\u76ee\u7684\u3068\u3057\uff0c\u69cb\u7bc9\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u306e\u8a55\u4fa1\u5b9f\u9a13\u306e\u7d50\u679c\u306b\u3064\u3044\u3066\u8ff0\u3079\u3066\u3044\u307e\u3057\u305f\uff0e\u30ab\u30e1\u30e9\u304b\u3089\u5f97\u305f\u60c5\u5831\u3060\u3051\u3067\u306a\u304f\uff0c\u5ea7\u5e03\u56e3\u578b\u306e\u30bb\u30f3\u30b5\u30fc\u3082\u7528\u3044\u3066\u59ff\u52e2\u3092\u691c\u51fa\u3057\u3066\u3044\u308b\u70b9\u306f\u975e\u5e38\u306b\u9762\u767d\u3044\u3068\u601d\u3044\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3\u306b\u3088\u308b\u767a\u8868\u3060\u3063\u305f\u305f\u3081\uff0c\u5b9f\u969b\u306b\u30b7\u30b9\u30c6\u30e0\u3092\u898b\u3066\u59ff\u52e2\u306e\u8a55\u4fa1\u304c\u3067\u304d\u3066\u3044\u308b\u3053\u3068\u304c\u78ba\u8a8d\u3067\u304d\u3066\u9762\u767d\u304b\u3063\u305f\u3068\u601d\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aRicketyBench\uff1a\u304c\u305f\u3064\u304d\u3067\u4eba\u306e\u6c17\u914d\u3092\u518d\u73fe\u3059\u308b\u30d9\u30f3\u30c1\u306e\u958b\u767a<\/p>\n<p>\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u52a0\u85e4\u826f\u6cbb\uff0c\u7530\u4e2d\u4e00\u6676\uff0c\u4e2d\u897f\u82f1\u4e4b<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u30d3\u30c7\u30aa\u30c1\u30e3\u30c3\u30c8\u306e\u3088\u3046\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306b\u304a\u3044\u3066\uff0c\u5bfe\u8a71\u76f8\u624b\u3068\u3042\u305f\u304b\u3082\u5bfe\u9762\u3057\u3066\u3044\u308b\u304b\u306e\u3088\u3046\u306a\u611f\u899a\u3092\u4e0e\u3048\u308b\u30b7\u30b9\u30c6\u30e0\u3068\u3057\u3066\u96a3\u306b\u76f8\u624b\u304c\u5ea7\u3063\u3066\u3044\u308b\u611f\u899a\u3092\u518d\u73fe\u3059\u308b\u30d9\u30f3\u30c1\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u767a\u8868\u3067\u306f\u5b9f\u969b\u306b\u4eba\u306b\u4f7f\u3063\u3066\u3082\u3089\u3044\u30a2\u30f3\u30b1\u30fc\u30c8\u306b\u3088\u308b\u8a55\u4fa1\u3092\u884c\u3063\u3066\u3044\u307e\u3057\u305f\uff0e\u767a\u8868\u3067\u306f\u5b9f\u969b\u306b\u30d9\u30f3\u30c1\u3092\u4f7f\u3063\u3066\u30c7\u30e2\u3082\u884c\u3063\u3066\u304a\u308a\uff0c\u975e\u5e38\u306b\u65ac\u65b0\u3067\u9762\u767d\u3044\u5185\u5bb9\u3060\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<\/p>\n<p>\u30fb\u767a\u8868\u30bf\u30a4\u30c8\u30eb\uff0c\u8457\u8005\uff0c\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\uff0c\u6284\u9332\u3092\u66f8\u304f<\/p>\n<p>\u30fb\u305d\u306e\u30ec\u30d3\u30e5\u30fc\u3092\u66f8\u304f<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3092\u62c5\u3044\u3060\u300c\u8a8d\u77e5\u75c7\u652f\u63f4\u72ac\u300d\u306b\u3088\u308b\u670d\u85ac\u652f\u63f4\u306e\u53ef\u80fd\u6027<\/p>\n<p>\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u5927\u5cf6\u5343\u4f73\uff0c\u539f\u7530\u5343\u8061\uff0c\u5b89\u7530\u6e05\uff0c\u753a\u5cf6\u5e0c\u7f8e\u7d75\uff0c\u4e2d\u5c71\u529f\u4e00<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u4e00\u822c\u767a\u8868\u30bb\u30c3\u30b7\u30e7\u30f3<\/p>\n<p>\u6284\u9332\uff1a\u8a8d\u77e5\u75c7\u8005\u306e\u8a18\u61b6\u969c\u5bb3\u3092\u652f\u63f4\u3059\u308b\u6a5f\u5668\u3068\u3057\u3066\uff0c\u6700\u8fd1\u306f\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u304c\u6d3b\u7528\u3055\u308c\u308b\uff0e\u3057\u304b\u3057\uff0c\u643a\u5e2f\u3059\u308b\u3053\u3068\u3092\u5fd8\u308c\u3066\u3057\u307e\u3046\u4eba\u3084\uff0c\u5acc\u304c\u308b\u4eba\u3082\u591a\u3044\uff0e\u305d\u3053\u3067\uff0c\u72ac\u306b\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3092\u62c5\u304c\u305b\uff0c\u4e3b\u4eba\u306e\u30bf\u30b9\u30af\uff08\u670d\u85ac\u306a\u3069\uff09\u6642\u523b\u306b\u30a2\u30e9\u30fc\u30e0\u304c\u9cf4\u308b\u3068\uff0c\u4e3b\u4eba\u306e\u3082\u3068\u3078\u99c6\u3051\u3064\u3051\u308b\u3088\u3046\u306b\u8a13\u7df4\u3057\u305f\uff0e\u5065\u5e38\u8005\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30b1\u30fc\u30b9\u30b9\u30bf\u30c7\u30a3\u306b\u3064\u3044\u3066\u5831\u544a\u3059\u308b\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u8a8d\u77e5\u75c7\u60a3\u8005\u306b\u5bfe\u3057\u3066ICT\u30c7\u30d0\u30a4\u30b9\u3060\u3051\u3067\u306a\u304fICT\u30c7\u30d0\u30a4\u30b9\u3092\u72ac\u306b\u62c5\u304c\u305b\u308b\u3053\u3068\u306b\u3088\u308a\u30c7\u30d0\u30a4\u30b9\u306e\u7d1b\u5931\u3092\u9632\u304e\uff0c\u60a3\u8005\u306b\u5bfe\u3057\u3066\u7652\u3057\u52b9\u679c\u306a\u3069\u3082\u671f\u5f85\u3059\u308b\u76ee\u7684\u3067\u30b1\u30fc\u30b9\u30b9\u30bf\u30c7\u30a3\u3092\u884c\u3044\uff0c\u72ac\u306bICT\u30c7\u30d0\u30a4\u30b9\u3092\u62c5\u304c\u305b\u308b\u6709\u7528\u6027\u3092\u691c\u8a0e\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u5b9f\u9a13\u7d50\u679c\u3067\u306f\uff0c\u901a\u5e38\u3067\u306f\u7169\u308f\u3057\u3044\u3068\u601d\u3046\u3088\u3046\u306a\u30bf\u30b9\u30af\u306b\u5bfe\u3057\u3066\u3082\u72ac\u304c\u30c7\u30d0\u30a4\u30b9\u3092\u62c5\u304e\u670d\u85ac\u6642\u9593\u3092\u6559\u3048\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u7a4d\u6975\u7684\u306b\u884c\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u306a\u3063\u3066\u3044\u307e\u3057\u305f\uff0e\u975e\u5e38\u306b\u8208\u5473\u6df1\u3044\u5185\u5bb9\u306e\u767a\u8868\u3067\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"661\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aRDF\u3092\u7528\u3044\u305f\u540d\u523a\u60c5\u5831\u306e\u69cb\u9020\u5316\u306b\u3088\u308b\u4eba\u8108\u30de\u30cd\u30b8\u30e1\u30f3\u30c8\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848<\/p>\n<p>\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u4e95\u4e0a\u6797\u592a\u90ce\uff0c\u677e\u4e0b\u5149\u7bc4\uff0c\u7b39\u5d8b\u5b97\u5f66\uff0c\u9ad8\u5ca1\u826f\u884c<\/p>\n<p>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30bb\u30c3\u30b7\u30e7\u30f3<\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u5f93\u6765\u306e\u540d\u523a\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u30a2\u30c9\u30ec\u30b9\u5e33\u3068\u3057\u3066\u5229\u7528\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u4eba\u8108\u3092\u6709\u52b9\u306b\u6d3b\u7528\u3059\u308b\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3068\u3057\u3066\u5229\u7528\u3059\u308b\u3053\u3068\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\uff0e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u306e\u554f\u984c\u3084\u540d\u523a\u306b\u66f8\u304b\u308c\u305f\u30e1\u30e2\u304b\u3089\u30bf\u30b0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u306a\u3069\u69cb\u7bc9\u30b7\u30b9\u30c6\u30e0\u306b\u5bfe\u3059\u308b\u30e6\u30fc\u30b6\u306e\u8a55\u4fa1\u304b\u3089\u591a\u304f\u306e\u77e5\u898b\u304c\u5f97\u3089\u308c\u305f\u3088\u3046\u3067\uff0c\u5b8c\u6210\u3055\u308c\u305f\u30b7\u30b9\u30c6\u30e0\u3092\u305c\u3072\u4f7f\u3063\u3066\u307f\u305f\u3044\u3068\u611f\u3058\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u4eba\u8108\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u306e\u5b58\u5728\u306b\u3082\u975e\u5e38\u306b\u8208\u5473\u304c\u308f\u304d\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<p>1)\u00a0\u00a0\u00a0\u00a0 2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c28\u56de)\uff0chttp:\/\/www.ai-gakkai.or.jp\/jsai2014<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/essay4less.com\/do_my_essays\" style=\"text-decoration: none; color:#000000;\">do my essay uk<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2014\u5e74\u5ea6\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a\u304c\u677e\u5c71\u3000\u3072\u3081\u304e\u3093\u30db\u30fc\u30eb\u3067\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\u3002 \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a \u7814\u7a76\u5ba4\u304b\u3089\u306f\u4e0b\u8a18\u306e\u5b66\u751f\u304c\u767a\u8868\u3057\u307e\u3059\u3002 1D3 \u300c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5b66\u7fd2\u300d 1D3-2 2\u30af\u30e9\u30b9\u5206\u985e\u306e\u70ba\u306e\u907a\u4f1d\u7684 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/is.doshisha.ac.jp\/news\/?p=2288\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u3010\u901f\u5831\u30112014\u5e74\u5ea6\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u3000\u5168\u56fd\u5927\u4f1a\uff08\u7b2c28\u56de\uff09&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,3],"tags":[],"class_list":["post-2288","post","type-post","status-publish","format-standard","hentry","category-9","category-3"],"_links":{"self":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/2288","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2288"}],"version-history":[{"count":0,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/2288\/revisions"}],"wp:attachment":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2288"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2288"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2288"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}