{"id":103,"date":"2021-03-19T10:39:30","date_gmt":"2021-03-19T01:39:30","guid":{"rendered":"https:\/\/orsj.org\/queue\/?page_id=103"},"modified":"2021-03-19T10:39:30","modified_gmt":"2021-03-19T01:39:30","slug":"archives1990-1994","status":"publish","type":"page","link":"https:\/\/orsj.org\/queue\/archives\/archives1990-1994\/","title":{"rendered":"\u90e8\u4f1a\u5831\u544a(1990\u5e74\u5ea6\u301c1994\u5e74\u5ea6)"},"content":{"rendered":"

<\/a><\/p>\n

\u7b2c107\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
\n
\u65e5\u6642:<\/dt>\n
2\u670818\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
\u5834\u6240:<\/dt>\n
\u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
\u51fa\u5e2d:<\/dt>\n
20\u540d<\/dd>\n
\u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
\n
    \n
  1. \u300c\u5fdc\u7b54\u6027\u80fd\u306b\u5bfe\u3059\u308b\u8af8\u6700\u9069\u5316\u76ee\u6a19\u3068\u305d\u308c\u3089\u306e\u9593\u306e\u7570\u69d8\u306b\u898b\u3048\u308b\u95a2\u4fc2\u300d
    \n\u4e80\u7530\u58fd\u592b, \u5c0f\u6fa4\u5b5d\u4e4b\uff08\u7b51\u6ce2\u5927\u5b66\uff09
    \n
    \n\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306b\u914d\u7f6e\u3055\u308c\u305f\u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066, \u5e7e\u3064\u304b\u306e\u6700\u9069\u5316\u76ee\u6a19\u306b\u5bfe\u3059\u308b\u8ca0\u8377\u5206\u6563\u306e\u89e3\u3092\u8b70\u8ad6. \u30ce\u30fc\u30c9\u5225\u6700\u9069\u5316\u3067, \u81ea\u5206\u306e\u30ce\u30fc\u30c9\u3067\u767a\u751f\u3057\u305f\u3059\u3079\u3066\u306e\u30b8\u30e7\u30d6\u3092\u4ed6\u306e\u30ce\u30fc\u30c9\u306b\u4efb\u3057, \u4ed6\u306e\u30ce\u30fc\u30c9\u306e\u30b8\u30e7\u30d6\u3092\u81ea\u5206\u30ce\u30fc\u30c9\u3067\u51e6\u7406\u3059\u308b\u7570\u69d8\u306a\u89e3\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u305f.
    \n<\/quote><\/li>\n
  2. \u300cGeneralized Mecke’s formula and extensions of H =\u03bbG\u300d
    \n\u5bae\u6ca2\u653f\u6e05\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09
    \n
    \n\u5f85\u3061\u884c\u5217\u306b\u304a\u3051\u308b\u4fdd\u5b58\u5247\u3067\u6a19\u672c\u904e\u7a0b\u304b\u3089\u5c0e\u3044\u305f\u4fdd\u5b58\u5247\u3068\u5b9a\u5e38\u70b9\u904e\u7a0b\u304b\u3089\u5c0e\u3044\u305f\u4fdd\u5b58\u5247\u3068\u306e\u5bfe\u5fdc\u95a2\u4fc2\u3092\u660e\u3089\u304b\u306b\u3057, \u5b9a\u5e38\u70b9\u904e\u7a0b\u304b\u3089\u306e Mecke’s formula \u3092\u9023\u7d9a\u578b\u306b\u307e\u3067\u62e1\u5f35\u3057\u305f.
    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

    1995\u5e7402\u670818\u65e5<\/p>\n

    <\/a><\/p>\n

    \u7b2c106\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
    \n
    \u65e5\u6642:<\/dt>\n
    12\u670817\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
    \u5834\u6240:<\/dt>\n
    \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
    \u51fa\u5e2d:<\/dt>\n
    27\u540d<\/dd>\n
    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
    \n
      \n
    1. \u300c\u591a\u91cd\u5f85\u3061\u884c\u5217\u30b7\u30b9\u30c6\u30e0\u306b\u5bfe\u3059\u308b\u64ec\u4fdd\u5b58\u5247\u3068\u305d\u306e\u5fdc\u7528\u300d
      \n\u9ad8\u6a4b\u656c\u9686\uff08NTT\uff09
      \n
      \n\u30dd\u30fc\u30ea\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0, \u30c8\u30fc\u30af\u30f3\u30ea\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u3092\u4e00\u822c\u5316\u3057\u305f\u591a\u91cd\u5f85\u3061\u884c\u5217\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u64ec\u4fdd\u5b58\u5247\u306b\u3064\u3044\u3066\u8b70\u8ad6\u3057\u305f. \u5f93\u6765\u306e\u64ec\u4fdd\u5b58\u5247\u306b\u8aa4\u308a\u304c\u3042\u308b\u3053\u3068\u304c\u6307\u6458\u3055\u308c\u3066\u3044\u305f\u304c, \u305d\u306e\u539f\u56e0\u3092\u660e\u3089\u304b\u306b\u3057, \u304b\u3064\u6b63\u3057\u3044\u64ec\u4fdd\u5b58\u5247\u3092\u793a\u3057\u305f.
      \n<\/quote><\/li>\n
    2. \u300c\u975e\u5272\u308a\u8fbc\u307f\u512a\u5148\u6a29\u4ed8\u304d MAP\/G\/1 \u5f85\u3061\u884c\u5217\u306e\u89e3\u6790\u306b\u5411\u3051\u3066\u300d
      \n\u6edd\u6839\u54f2\u54c9\uff08\u5927\u962a\u5927\u5b66\uff09
      \n
      \n\u975e\u518d\u751f\u904e\u7a0b\u3092\u8868\u73fe\u3057\u305f MAP \u306b\u5f93\u3063\u3066\u512a\u5148\u9806\u4f4d\u304c\u5b9a\u3081\u3089\u308c\u305f\u8907\u6570\u30af\u30e9\u30b9\u306e\u5ba2\u304c\u5230\u7740\u3059\u308b\u3068\u304d\u306e\u30a2\u30a4\u30c9\u30eb\u72b6\u614b\u306e\u5b9a\u5e38\u78ba\u7387, \u5f85\u3061\u884c\u5217\u9577\u306e\u5b9a\u5e38\u5206\u5e03\u53ca\u3073\u5f85\u3061\u6642\u9593\u5206\u5e03\u306e\u6570\u5024\u8a08\u7b97\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u63d0\u793a\u3057\u305f.
      \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

      1994\u5e7412\u670817\u65e5<\/p>\n

      <\/a><\/p>\n

      \u7b2c105\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
      \n
      \u65e5\u6642:<\/dt>\n
      11\u670819\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
      \u5834\u6240:<\/dt>\n
      \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
      \u51fa\u5e2d:<\/dt>\n
      29\u540d<\/dd>\n
      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
      \n
        \n
      1. \u300cModeling of computer & communication networks by using Petri-nets\/queueing networks\u300d
        \nMarco Tilgner\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09
        \n
        \n\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30d6\u30ed\u30c3\u30af\u306e\u3042\u308b\u30bf\u30f3\u30c7\u30e0\u30ad\u30e5\u30fc\u3092\u30da\u30c8\u30ea\u30cd\u30c3\u30c8\u3092\u7528\u3044\u3066\u8a18\u8ff0\u3057,\u5f85\u3061\u884c\u5217\u7db2\u7406\u8ad6\u3067\u306e\u5206\u89e3\u8fd1\u4f3c\u6cd5\u306b\u985e\u4f3c\u3057\u305f\u8fd1\u4f3c\u6cd5\u3092\u7528\u3044\u3066\u89e3\u6790\u3057\u305f.
        \n<\/quote><\/li>\n
      2. \u300cSmoothed perturbation analysis for multi-class priority queues\u300d
        \n\u4e09\u597d\u76f4\u4eba\uff08\u4eac\u90fd\u5927\u5b66\uff09
        \n
        \n\u512a\u5148\u6a29\u306e\u3042\u308b\u30de\u30eb\u30c1\u30af\u30e9\u30b9\u306e\u5f85\u3061\u884c\u5217\u306b\u304a\u3044\u3066, \u5f85\u3061\u6642\u9593\u306a\u3069\u7cfb\u306e\u5c3a\u5ea6\u306e\u5fae\u5206\u4fc2\u6570\u3092\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u304b\u3089\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u305f.
        \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

        1994\u5e7411\u670819\u65e5<\/p>\n

        <\/a><\/p>\n

        \u7b2c104\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
        \n
        \u65e5\u6642:<\/dt>\n
        10\u670815\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
        \u5834\u6240:<\/dt>\n
        \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
        \u51fa\u5e2d:<\/dt>\n
        \u51fa\u5e2d: 26\u540d<\/dd>\n
        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
        \n
          \n
        1. \u300cQuasi-reversibility of a discrete time queue\u300d
          \n\u5927\u6fa4\u79c0\u96c4\uff08\u611b\u77e5\u5b66\u6cc9\u5927\u5b66\uff09
          \n
          \n\u6642\u9593\u96e2\u6563\u306e\u5358\u4e00\u5f85\u3061\u884c\u5217\u306b\u304a\u3044\u3066, Quasi-Reversibility \u304c\u6210\u308a\u7acb\u3064\u30b5\u30fc\u30d3\u30b9\u898f\u5f8b\u53ca\u3073 Reversibility \u304c\u6210\u308a\u7acb\u3064\u6761\u4ef6\u3092\u6c42\u3081\u305f. \u53c8, \u3053\u306e\u7d50\u679c\u3092\u5f85\u3061\u884c\u5217\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u62e1\u5f35\u3057\u3066\u7a4d\u5f62\u5f0f\u89e3\u3092\u5c0e\u3044\u305f.
          \n<\/quote><\/li>\n
        2. \u300c\u901a\u4fe1\u306b\u304a\u3051\u308b\u30c8\u30e9\u30d2\u30c3\u30af\u63a8\u5b9a\u3068\u305d\u306e\u5fdc\u7528\u300d
          \n\u8c4a\u6cc9\u6d0b\uff08NTT\uff09
          \n
          \n\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u306e\u5165\u529b\uff0f\u51fa\u529b\u30c8\u30e9\u30d2\u30c3\u30af\u3092\u89b3\u6e2c\u3059\u308b\u3053\u3068\u304b\u3089\u7cfb\u5185\u3067\u306e\u5e73\u5747\u5f85\u3061\u6642\u9593\u53ca\u3073\u5f85\u3061\u6642\u9593\u5206\u5e03\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u3068\u8fc2\u56de\u30c8\u30e9\u30d2\u30c3\u30af\u3092\u8003\u616e\u3057\u305f\u56de\u7dda\u8a2d\u8a08\uff0f\u5236\u5fa1\u6cd5\u3092\u63d0\u6848\u3057\u305f.
          \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

          1994\u5e7410\u670815\u65e5<\/p>\n

          <\/a><\/p>\n

          \u7b2c103\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
          \n
          \u65e5\u6642:<\/dt>\n
          9\u670817\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
          \u5834\u6240:<\/dt>\n
          \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
          \u51fa\u5e2d:<\/dt>\n
          22\u540d<\/dd>\n
          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
          \n
            \n
          1. \u300cAggregation\/Disaggregation \u6cd5\u306e\u8d85\u4e26\u5217\u8a08\u7b97\u6a5f\u3078\u306e\u9069\u7528\u300d
            \n\u85e4\u672c\u8861, \u8535\u6749\u4fca\u5eb7, \u9ad8\u6a4b\u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09
            \n
            \n\u5927\u898f\u6a21\u306a\u30de\u30eb\u30b3\u30d5\u9023\u9396\u306e\u5b9a\u5e38\u5206\u5e03\u3092\u6c42\u3081\u308b\u6570\u5024\u8a08\u7b97\u6cd5\u3092\u8d85\u4e26\u5217\u8a08\u7b97\u6a5f\u4e0a\u3067\u9069\u7528\u3059\u308b\u969b\u306b, \u8a08\u7b97\u51e6\u7406\u3092\u8a08\u7b97\u6a5f\u306e\u69cb\u6210\u8981\u7d20\u306b\u5206\u914d\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u793a\u3057, \u5404\u4f8b\u306b\u304a\u3051\u308b\u8981\u7d20\u9593\u306e\u901a\u4fe1\u91cf\u306e\u5909\u5316\u304a\u3088\u3073\u8a08\u7b97\u6642\u9593\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306b\u3064\u3044\u3066\u8a55\u4fa1\u30fb\u8003\u5bdf\u3057\u305f.
            \n<\/quote><\/li>\n
          2. \u300c\u30c8\u30e9\u30d2\u30c3\u30af\u5f37\u5ea6\uff10\u306e\u5b9a\u5e38\u30c8\u30e9\u30d2\u30c3\u30af\u6d41\u3068\u30ab\u30aa\u30b9\u306e\u7e01\u300d
            \n\u4e0b\u5ddd\u4fe1\u7950\uff08ATR\uff09
            \n
            \n\u5f93\u6765\u306e\u30c8\u30e9\u30d2\u30c3\u30af\u7406\u8ad6\u3067\u306f\u6271\u3063\u3066\u3044\u306a\u304b\u3063\u305f, \u30c8\u30e9\u30d2\u30c3\u30af\u5f37\u5ea6\u304c\u6d88\u6ec5\u3057\u30c8\u30e9\u30d2\u30c3\u30af\u306e\u5927\u304d\u3055\u304c\u5b9a\u7fa9\u3067\u304d\u306a\u3044\u7279\u7570\u306a\u6027\u8cea\u3092\u6301\u3064\u30c8\u30e9\u30d2\u30c3\u30af\u30e2\u30c7\u30eb\u3092\u8b70\u8ad6\u3057\u305f. \u7279\u306b\u30e2\u30c7\u30eb\u3092\u8ad6\u3058\u308b\u305f\u3081\u306e\u6570\u5b66\u7684\u306a\u67a0\u7d44\u307f\u3092\u793a\u3057\u305f.
            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

            1994\u5e7409\u670817\u65e5<\/p>\n

            <\/a><\/p>\n

            \u7b2c102\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
            \n
            \u65e5\u6642:<\/dt>\n
            7\u670816\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
            \u5834\u6240:<\/dt>\n
            \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
            \u51fa\u5e2d:<\/dt>\n
            28\u540d<\/dd>\n
            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
            \n
              \n
            1. \u300cInsensitivity in queues with an impatient server\u300d
              \n\u5c71\u5d0e\u6e90\u6cbb\uff08\u6771\u4eac\u90fd\u7acb\u79d1\u5b66\u6280\u8853\u5927\u5b66\uff09, \u5bae\u6ca2\u653f\u6e05\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09
              \n
              \n\u5f85\u3061\u884c\u5217\u306b\u3044\u308b\u5ba2\u306b\u5bfe\u3057\u3066\u30b5\u30fc\u30d0\u304c\u30dd\u30b8\u30b7\u30e7\u30f3\u3092\u79fb\u52d5\u3057\u306a\u304c\u3089\u30b5\u30fc\u30d3\u30b9\u3092\u9042\u884c\u3059\u308b\u30e2\u30c7\u30eb\u3092\u89e3\u6790\u3057\u305f. decomposable \u306e\u6761\u4ef6\u304b\u3089\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u5206\u5e03\u5f62\u306b Insensitive\u3067\u3042\u308b\u6761\u4ef6\u3092\u5f97, \u305d\u306e\u6761\u4ef6\u3092\u6e80\u8db3\u3059\u308b\u89e3\u306e\u4f8b\u3092\u793a\u3057\u305f.
              \n<\/quote><\/li>\n
            2. \u300cQueueing networks with nested routing chains\u300d
              \n\u7d00\u4e00\u8aa0\uff08NEC\uff09
              \n
              \n\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b7\u30b9\u30c6\u30e0\u4e0a\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u7af6\u5408\u8cc7\u6e90\u3068\u3057\u3066\u6349\u3048\u308b\uff12\u968e\u5c64\u306e\u5f85\u3061\u884c\u5217\u7db2\u30e2\u30c7\u30eb\u306e\u63d0\u6848\u3068\u89e3\u6790\u3092\u884c\u3063\u305f. \u5ba2\u306e\u7db2\u5185\u7d4c\u8def\u304c\u30cd\u30b9\u30c8\u3057\u3066\u3044\u308b\u5834\u5408\u3067\u3082, chain-balance \u3068\u540d\u4ed8\u3051\u305f\u6027\u8cea\u3092\u6e80\u305f\u3059\u5f85\u3061\u884c\u5217\u7db2\u3067\u306f, \u7cfb\u5185\u5ba2\u6570\u306e\u540c\u6642\u5206\u5e03\u304c\u7a4d\u5f62\u5f0f\u306b\u8868\u73fe\u3067\u304d\u308b\u3053\u3068\u3092\u8a3c\u660e\u3057\u305f.
              \n<\/quote><\/li>\n<\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

              1994\u5e7407\u670816\u65e5<\/p>\n

              <\/a><\/p>\n

              \u7b2c101\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
              \n
              \u65e5\u6642:<\/dt>\n
              6\u670818\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
              \u5834\u6240:<\/dt>\n
              \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
              \u51fa\u5e2d:<\/dt>\n
              31\u540d<\/dd>\n
              \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
              \n
                \n
              1. \u300c\u56fa\u5b9a\u5207\u63db\u8cbb\u7528\u306e\u3082\u3068\u3067\u306e\u30b8\u30e7\u30d6\u30fb\u30b7\u30e7\u30c3\u30d7\u5236\u5fa1\u65b9\u7b56\u306b\u3064\u3044\u3066\u300d
                \n\u694a\u5149, \u677e\u4e95\u6b63\u4e4b\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09
                \n
                \n\u4ee3\u8868\u7684\u306a\u30b8\u30e7\u30d6\u30b7\u30e7\u30c3\u30d7\u5236\u5fa1\u65b9\u7b56\u306e\u4e00\u3064\u3067\u3042\u308b\u5c71\u7a4d\u578b\u5236\u5fa1\u65b9\u7b56\u306b\u304a\u3044\u3066, \uff12\u3064\u306e\u30bf\u30a4\u30d7\u306e\u80fd\u529b\u5207\u63db\u306b\u56fa\u5b9a\u5207\u308a\u63db\u3048\u8cbb\u7528\u3092\u4f34\u3046\u5834\u5408\u306e M\/\/1 \u30e2\u30c7\u30eb\u3092\u8b70\u8ad6\u3057\u305f. \u6570\u5024\u7684\u8003\u5bdf\u306b\u3088\u3063\u3066\u6700\u9069\u65b9\u7b56\u306e\u69cb\u9020\u3092\u691c\u8a0e, \u9078\u629e\u57fa\u6e96 c1 \u3068 c2 \u306e\u5927\u5c0f\u95a2\u4fc2\u306b\u304a\u3051\u308b\u5358\u8abf\u6027\u304c\u6210\u7acb\u3057\u306a\u3044\u5834\u5408\u306e\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u305f.
                \n<\/quote><\/li>\n
              2. \u300c\u5438\u53ce\u904e\u7a0b\u3068\u305d\u306e\u5fdc\u7528\u300d
                \n\u4e2d\u585a\u5229\u76f4\uff08\u6771\u4eac\u90fd\u7acb\u5927\u5b66\uff09
                \n
                \n\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u5b9a\u5e38\u89e3\u306e\u5b58\u5728\u3092\u5438\u53ce\u904e\u7a0b\u306e\u5b58\u5728\u304b\u3089\u793a\u3059\u3053\u3068\u3092\u63d0\u5531\u3057\u305f.\u3053\u3053\u3067\u8a00\u3046\u5438\u53ce\u904e\u7a0b\u306f\u7570\u306a\u308b\u521d\u671f\u5024\u306e\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u304c\u6709\u9650\u6642\u9593\u3067\u4ea4\u308f\u308a, \u305d\u308c\u4ee5\u964d\u306f\u4e00\u81f4\u3057\u305f\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u3068\u306a\u308b\u78ba\u7387\u904e\u7a0b\u3067\u3042\u308b.
                \n<\/quote><\/li>\n<\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                1994\u5e7406\u670818\u65e5<\/p>\n

                <\/a><\/p>\n

                \u7b2c100\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                \n
                \u65e5\u6642:<\/dt>\n
                5\u670814\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
                \u5834\u6240:<\/dt>\n
                \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                \u51fa\u5e2d:<\/dt>\n
                31\u540d<\/dd>\n
                \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                \n
                  \n
                1. \u300cComput\/ational methods for queueing systems\u300d
                  \nHenk Tijms (Vrije Universiteit, Amsterdam)
                  \n
                  \n\u5f85\u3061\u884c\u5217\u306e\u5b9a\u5e38\u89e3\u3092\u5f97\u308b\u70ba\u306e\u6b21\u306e\uff13\u3064\u306e\u8a08\u7b97\u624b\u6cd5\u3092\u7d39\u4ecb\u3057\u305f. 1. Regenerative approach: \u30dd\u30a2\u30bd\u30f3\u5230\u7740\u306e\u307f\u6709\u52b9. 2. Markov chain approach: \u4e00\u822c\u5206\u5e03\u3092 phase-type density \u3067\u8fd1\u4f3c\u3057\u3066\u30de\u30eb\u30b3\u30d5\u9023\u9396\u306b\u5e30\u7740. 3. Approximation approach:\u7c21\u5358\u306a\u30e2\u30c7\u30eb\uff0b\u7dda\u5f62\u88dc\u9593.
                  \n<\/quote><\/li>\n
                2. \u300cGuided control restoration of ATM networks: Principles and some applications\u300d
                  \nMiroslaw M. Slominski (NEC)
                  \n
                  \nATM \u7db2\u306e\u969c\u5bb3\u306b\u5bfe\u3059\u308b\u81ea\u5df1\u56de\u5fa9\uff08self-healing\uff09\u306e\u65b9\u6cd5\u3092\u7d39\u4ecb, \u5b8c\u5168\u5206\u6563\u578b\u3068\u96c6\u4e2d\u5236\u5fa1\u578b\u306e\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u65b9\u5f0f\u304c\u56de\u5fa9\u6642\u9593\u304c\u77ed\u304f, \u56de\u5fa9\u7387\u304c\u9ad8\u3044\u3053\u3068\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u793a\u3057\u305f.
                  \n<\/quote><\/li>\n<\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                  1994\u5e7405\u670814\u65e5<\/p>\n

                  <\/a><\/p>\n

                  \u7b2c99\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                  \n
                  \u65e5\u6642:<\/dt>\n
                  4\u670816\u65e5\uff08\u571f\uff0914:00\u301c16:30<\/dd>\n
                  \u5834\u6240:<\/dt>\n
                  \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u9928H1-94\u53f7\u5ba4<\/dd>\n
                  \u51fa\u5e2d:<\/dt>\n
                  26\u540d<\/dd>\n
                  \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                  \n
                    \n
                  1. \u300cA preemptive priority queue as a model with server vacations\u300d
                    \n\u753a\u539f\u6587\u660e\uff08NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240\uff09
                    \n
                    \nMAP1, MAP2\/GI1, GI2\/1 \u3067\u8868\u3055\u308c\u308b Preemptive priority queue \u306e\u975e\u512a\u5148\u547c\u306e\u5b9a\u5e38\u89e3\u3092\u6c42\u3081\u305f. \u975e\u512a\u5148\u547c\u306e\u632f\u821e\u304c vacation \u306e\u3042\u308b MAP\/SM\/1 \u3067\u3042\u308b\u3053\u3068\u306b\u7740\u76ee\u3057\u3066, \u89e3\u6790\u3092\u884c\u3063\u305f.
                    \n<\/quote><\/li>\n
                  2. \u300cM\/G\/1 queues with delay dependent preemptive priority rules\u300d
                    \n\u7267\u672c\u76f4\u6a39, \u767d\u6728\u5b8f\u660e\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09
                    \n
                    \n\u7cfb\u5185\u6ede\u5728\u6642\u9593\u306b\u4f9d\u5b58\u3057\u3066\u512a\u5148\u5ea6\u304c\u5897\u52a0\u3059\u308b\u8907\u6570\u30af\u30e9\u30b9 M\/G\/1 \u5f85\u3061\u884c\u5217\u306e\u8fd1\u4f3c\u89e3\u6790\u3092\u884c\u3044, \u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u3068\u6bd4\u8f03\u3057\u305f.
                    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                    1994\u5e7404\u670816\u65e5<\/p>\n

                    <\/a><\/p>\n

                    \u7b2c98\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                    \n
                    \u65e5\u6642:<\/dt>\n
                    3\u670819\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                    \u5834\u6240:<\/dt>\n
                    \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                    \u51fa\u5e2d:<\/dt>\n
                    \u540d<\/dd>\n
                    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                    \n
                      \n
                    1. \u300cDistributional Form of Little’s Law for Discrete-Time Queueing Systems\u300d
                      \n\u9ad8\u6a4b \u656c\u9686(NTT\u901a\u4fe1\u7db2\u4ea4\u63db\u7dcf\u5408\u7814\u7a76\u6240)\u3001\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)
                      \n<\/p>\n

                      <\/quote><\/li>\n

                    2. \u300c2\u6bb5\u578b\u76f4\u5217\u578b\u5f85\u3061\u884c\u5217\u306e\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u89e3\u6790\u3068\u305d\u306e\u5fdc\u7528\u300d
                      \n\u5ddd\u5cf6 \u6b66\u3001\u4f50\u3005\u6728 \u4e00\u90ce(\u9632\u885b\u5927\u5b66\u6821)
                      \n<\/p>\n

                      <\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                      1994\u5e7403\u670819\u65e5<\/p>\n

                      <\/a><\/p>\n

                      \u7b2c97\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                      \n
                      \u65e5\u6642:<\/dt>\n
                      2\u670819\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                      \u5834\u6240:<\/dt>\n
                      \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                      \u51fa\u5e2d:<\/dt>\n
                      \u540d<\/dd>\n
                      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                      \n
                        \n
                      1. \u300cOn the Sojourn Time Problems in GSMP with Reallocation and with Point-Process Input\u300d
                        \n\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)\u3001Rolf Schassberger(Technical University of Braunschweig)\u3001Volker Schmidt(University of Ulm)
                        \n<\/p>\n

                        <\/quote><\/li>\n

                      2. \u300cApproximations for Multi-Server Queues: System Interpolations\u300d
                        \n\u6728\u6751 \u4fca\u4e00(\u5317\u6d77\u9053\u5927\u5b66)
                        \n<\/p>\n

                        <\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                        1994\u5e7402\u670819\u65e5<\/p>\n

                        <\/a><\/p>\n

                        \u7b2c96\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                        \n
                        \u65e5\u6642:<\/dt>\n
                        12\u670818\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                        \u5834\u6240:<\/dt>\n
                        \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                        \u51fa\u5e2d:<\/dt>\n
                        \u540d<\/dd>\n
                        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                        \n
                          \n
                        1. \u300c\u30d7\u30c3\u30b7\u30e5\u30a2\u30a6\u30c8\u3068\u4ea4\u63db\u6a5f\u306e\u8f3b\u8f33\u5236\u5fa1\u300d
                          \n\u4f4f\u7530 \u4fee\u4e00(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                          \n<\/p>\n

                          <\/quote><\/li>\n

                        2. \u300cJIT\u751f\u7523\u30b7\u30b9\u30c6\u30e0\u306b\u3064\u3044\u3066\u300d
                          \n\u5927\u91ce \u52dd\u4e45(\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66)
                          \n<\/p>\n

                          <\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                          1993\u5e7412\u670818\u65e5<\/p>\n

                          <\/a><\/p>\n

                          \u7b2c95\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                          \n
                          \u65e5\u6642:<\/dt>\n
                          11\u670813\u65e5(\u571f) 14:00\u301c16:50<\/dd>\n
                          \u5834\u6240:<\/dt>\n
                          \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                          \u51fa\u5e2d:<\/dt>\n
                          27\u540d<\/dd>\n
                          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                          \n
                            \n
                          1. \u300cThe Busy Period of an M\/M\/1 Queue with Balking\u300d
                            \nB. Krishna Kumar(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                            \n
                            \n\u7cfb\u5185\u5ba2\u6570\u306b\u4f9d\u5b58\u3057\u3066\u5ba2\u306e\u53d7\u3051\u5165\u308c\u78ba\u7387\u3092\u5b9a\u3081\u308b\u30dc\u30fc\u30ad\u30f3\u30b0\u3092\u4f34\u3046\u7121\u9650\u5bb9\u91cfM\/M\/1\u5f85\u3061\u884c\u5217\u306b\u304a\u3044\u3066\u3001\u6bcd\u95a2\u6570\u3092\u7528\u3044\u3066\u904e\u6e21\u72b6\u614b\u306eBusy Period\u306e\u78ba\u7387\u5bc6\u5ea6\u95a2\u6570\u3092\u6c42\u3081\u305f\u3002
                            \n<\/quote><\/li>\n
                          2. \u300cNumerical Analysis of Queueing Models with Repeated Calls\u300d
                            \nSergey N. Stepanov(Russian Academy of Science)
                            \n
                            \n\u5ba2\u306e\u5230\u7740\u6642\u306b\u3059\u3079\u3066\u306e\u30b5\u30fc\u30d0\u304c\u30b5\u30fc\u30d3\u30b9\u4e2d\u3067\u3042\u308b\u6642\u3001\u305d\u306e\u5ba2\u304c\u3042\u308b\u78ba\u7387\u3067\u30e9\u30f3\u30c0\u30e0\u6642\u9593\u5f8c\u306b\u518d\u3073\u30b5\u30fc\u30d3\u30b9\u3092\u5f97\u3088\u3046\u3068\u8a66\u307f\u308b\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u3001\u5b9a\u5e38\u7279\u6027\u3092\u6c42\u3081\u308b\u305f\u3081\u306e\u6570\u5024\u89e3\u6cd5\u3092\u793a\u3057\u305f\u3002
                            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                            1993\u5e7411\u670813\u65e5<\/p>\n

                            <\/a><\/p>\n

                            \u7b2c94\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                            \n
                            \u65e5\u6642:<\/dt>\n
                            9\u670818\u65e5(\u571f) 14:00\u301c16:40<\/dd>\n
                            \u5834\u6240:<\/dt>\n
                            \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                            \u51fa\u5e2d:<\/dt>\n
                            24\u540d<\/dd>\n
                            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                            \n
                              \n
                            1. \u300cATM\u901a\u4fe1\u6280\u8853\u306e\u958b\u767a\u52d5\u5411\u300d
                              \n\u6751\u4e0a \u5b5d\u4e09(\u5bcc\u58eb\u901a\u7814\u7a76\u6240)
                              \n
                              \nB-ISDN\u306e\u6709\u52b9\u306a\u624b\u6bb5\u3068\u3057\u3066\u671f\u5f85\u3055\u308c\u3066\u3044\u308bATM\u901a\u4fe1\u306b\u3064\u3044\u3066\u307e\u305a\u305d\u306e\u51fa\u73fe\u306e\u80cc\u666f\u3001\u3057\u304f\u307f\u306a\u3069\u306b\u3064\u3044\u3066\u6982\u8aac\u3057\u3001\u30b9\u30a4\u30c3\u30c1\u30f3\u30b0\u3084\u30c8\u30e9\u30d2\u30c3\u30af\u5236\u5fa1\u306a\u3069\u306e\u6280\u8853\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u305f\u3002\u307e\u305f\u5bcc\u58eb\u901a\u7814\u7a76\u6240\u3067\u306e\u958b\u767a\u306e\u73fe\u72b6\u3001\u5c06\u6765\u306e\u901a\u4fe1\u7db2\u3084\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u52d5\u5411\u306b\u3064\u3044\u3066\u3082\u8a00\u53ca\u3057\u305f\u3002
                              \n<\/quote><\/li>\n
                            2. \u300c\u5171\u6709\u30d0\u30c3\u30d5\u30a1\u3092\u4f34\u3046\u30d0\u30fc\u30b9\u30c8\u5230\u7740\/\u8907\u6570\u30af\u30e9\u30b9\u3001\u8907\u6570\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217\u306e\u6570\u5024\u89e3\u6790\u300d
                              \n\u5c71\u4e0b \u82f1\u660e(\u4e0a\u667a\u5927\u5b66)
                              \n
                              \n\u30b5\u30a4\u30ba\u304c\u4e00\u822c\u5206\u5e03\u306b\u5f93\u3046\u30d0\u30fc\u30b9\u30c8\u304c\u5230\u7740\u3059\u308b\u3001\u5171\u6709\u30d0\u30c3\u30d5\u30a1\u3092\u4f34\u3046\u8907\u6570\u30af\u30e9\u30b9\u8907\u6570\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217\u306b\u3064\u3044\u3066\u3001\u5ec3\u68c4\u7387\u3001\u5f85\u3061\u6642\u9593\u5206\u5e03\u7b49\u3092\u53b3\u5bc6\u306b\u6c42\u3081\u308b\u52b9\u7387\u7684\u306a\u6570\u5024\u89e3\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002\u307e\u305f\u3053\u306e\u65b9\u6cd5\u3092\u5229\u7528\u3057\u3066\u3001\u30af\u30e9\u30b9\u5225\u306e\u30d0\u30c3\u30d5\u30a1\u3092\u7528\u3044\u305f\u5834\u5408\u3068\u306e\u6027\u80fd\u6bd4\u8f03\u3092\u6570\u5024\u7684\u306b\u884c\u306a\u3063\u305f\u3002
                              \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                              1993\u5e7409\u670818\u65e5<\/p>\n

                              <\/a><\/p>\n

                              \u7b2c93\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                              \n
                              \u65e5\u6642:<\/dt>\n
                              7\u670817\u65e5(\u91d1) 14:00\u301c16:40<\/dd>\n
                              \u5834\u6240:<\/dt>\n
                              \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                              \u51fa\u5e2d:<\/dt>\n
                              26\u540d<\/dd>\n
                              \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                              \n
                                \n
                              1. \u300c\u547c\u7a2e\u5225\u306e\u5ec3\u68c4\u7387\u3092\u8003\u616e\u3057\u305fATM\u547c\u53d7\u3051\u4ed8\u3051\u5236\u5fa1\u6cd5\u300d
                                \n\u6751\u702c \u52c9(NEC C&C\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240)
                                \n
                                \n\u30d0\u30c3\u30d5\u30a1\u3092\u4f34\u308f\u306a\u3044\u3042\u3075\u308c\u30ea\u30f3\u30af\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u5ec3\u68c4\u7387\u3092\u63a8\u5b9a\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u5ec3\u68c4\u7387\u3092\u3042\u308b\u6c34\u6e96\u4ee5\u4e0b\u306b\u3059\u308b\u8a31\u5bb9\u91cf\u5927\u8ca0\u8377\u7279\u6027\u3092\u6c42\u3081\u308b\u305f\u3081\u306e\u7406\u8ad6\u8a31\u5bb9\u5206\u5272\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002
                                \n<\/quote><\/li>\n
                              2. \u300cM\/D\/2\/N\u306e\u5b9a\u5e38\u72b6\u614b\u89e3\u6790\u300d
                                \n\u95a2\u53e3 \u660c\u9686\u3001\u5409\u7530 \u88d5(\u6cd5\u653f\u5927\u5b66)
                                \n
                                \nM\/D\/2\/N\u5f85\u3061\u884c\u5217\u306b\u304a\u3044\u3066\u3001\u4efb\u610f\u306e\u6642\u70b9\u304b\u3089\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u3054\u3068\u30b7\u30b9\u30c6\u30e0\u306e\u72b6\u614b\u3092\u89b3\u5bdf\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u5e73\u8861\u72b6\u614b\u65b9\u7a0b\u5f0f\u3092\u305f\u3066\u3001\u5b9a\u5e38\u72b6\u614b\u78ba\u7387\u304a\u3088\u3073\u5404\u7279\u6027\u5024\u306e\u53b3\u5bc6\u89e3\u3092\u6570\u5024\u7684\u306b\u6c42\u3081\u305f\u3002
                                \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                1993\u5e7407\u670817\u65e5<\/p>\n

                                <\/a><\/p>\n

                                \u7b2c92\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                \n
                                \u65e5\u6642:<\/dt>\n
                                6\u670819\u65e5(\u571f) 14:00\u301c16:05<\/dd>\n
                                \u5834\u6240:<\/dt>\n
                                \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb<\/dd>\n
                                \u51fa\u5e2d:<\/dt>\n
                                30\u540d<\/dd>\n
                                \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                \n
                                  \n
                                1. \u300cCharacterization of the Traffic on High Speed Token-Ring Networks\u300d
                                  \nEthan Spiegel(NEC C&C\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240)\u3001Asser Tantawi\u3001Chatschik Bisdikian(IBM)
                                  \n
                                  \n\u30c8\u30fc\u30af\u30f3\u30ea\u30f3\u30b0\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6027\u80fd\u7279\u6027\u3092\u9023\u7d9a\u30c8\u30fc\u30af\u30f3\u30ea\u30f3\u30b0\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u8fd1\u4f3c\u7684\u306b\u89e3\u6790\u3057\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u3068\u6bd4\u8f03\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u3067\u306f\u3001\u9023\u7d9a\u3059\u308b2\u3064\u306e\u30b5\u30a4\u30af\u30eb\u5185\u306b\u9001\u4fe1\u3055\u308c\u308b\u30d1\u30b1\u30c3\u30c8\u6570\u9593\u306e\u6b63\u306e\u76f8\u95a2\u3092\u30de\u30eb\u30b3\u30d5\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u8fd1\u4f3c\u7684\u306b\u53d6\u308a\u5165\u308c\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u7cbe\u5ea6\u3092\u9ad8\u3081\u3066\u3044\u308b\u3002
                                  \n<\/quote><\/li>\n
                                2. \u300cBounds for Tandem Queues with Erlang Service Times by Sample-Path Coupling\u300d
                                  \nRonald Wolff\u3001Yat-Wah Wan(University of California\u3001Berkeley)
                                  \n
                                  \n\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u304ck\u30b9\u30c6\u30fc\u30b8\u30a2\u30fc\u30e9\u30f3\u5206\u5e03\u306b\u5f93\u30462\u6bb5\u76f4\u5217\u5f85\u3061\u884c\u5217\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066\u3001\u683c\u6bb5\u306e\u30b5\u30fc\u30d3\u30b9\u7387\u304c\u7570\u306a\u308b\u3068\u304d\u306e\u683c\u6bb5\u306e\u914d\u7f6e\u306b\u3088\u308b\u7279\u6027\u5024\u306e\u9055\u3044\u3092\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u3092\u7528\u3044\u3066\u89e3\u6790\u3057\u305f\u3002\u3053\u306e\u7d50\u679c\u3001\u4efb\u610f\u306e\u6642\u523b\u306e\u7cfb\u5185\u5ba2\u6570\u306e\u5dee\u306f1\u3067\u6291\u3048\u3089\u308c\u3001\u305d\u306e\u5e73\u5747\u306f(k-1)\/k\u3067\u6291\u3048\u3089\u308c\u308b\u3053\u3068\u3092\u793a\u3057\u305f\u3002
                                  \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                  1993\u5e7406\u670819\u65e5<\/p>\n

                                  <\/a><\/p>\n

                                  \u7b2c91\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                  \n
                                  \u65e5\u6642:<\/dt>\n
                                  5\u670815\u65e5(\u571f) 14:00\u301c16:50<\/dd>\n
                                  \u5834\u6240:<\/dt>\n
                                  \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                                  \u51fa\u5e2d:<\/dt>\n
                                  26\u540d<\/dd>\n
                                  \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                  \n
                                    \n
                                  1. \u300c\u30de\u30eb\u30b3\u30d5\u518d\u751f\u5272\u308a\u8fbc\u307f\u306e\u3042\u308b\u5f85\u3061\u884c\u5217\u306b\u3064\u3044\u3066\u300d
                                    \n\u753a\u539f \u6587\u660e(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                    \n
                                    \n\u512a\u5148\u547c\u306e\u5230\u7740\u9593\u9694\u304c\u30de\u30eb\u30b3\u30d5\u518d\u751f\u904e\u7a0b\u306b\u5f93\u3046\u5834\u5408\u306e\u975e\u512a\u5148\u547c\u306e\u30b5\u30fc\u30d3\u30b9\u958b\u59cb\u304b\u3089\u7d42\u4e86\u307e\u3067\u306e\u6642\u9593\u3092\u30013\u3064\u306e\u5272\u308a\u8fbc\u307f\u898f\u5f8b\u306b\u3064\u3044\u3066\u89e3\u6790\u3057\u305f\u3002\u307e\u305f\u3001\u3053\u308c\u3092\u7528\u3044\u3066\u3001\u975e\u512a\u5148\u547c\u304c\u30dd\u30a2\u30bd\u30f3\u5230\u7740\u3059\u308bPH-MR,M\/G1,G2\/1\u5f85\u3061\u884c\u5217\u3092\u89e3\u6790\u3057\u305f\u3002
                                    \n<\/quote><\/li>\n
                                  2. \u300cA Bulk Service GI\/M\/1 Queue with the Service Rates Dependent on the Service Batch Size\u300d
                                    \n\u99ac\u5834 \u88d5(\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66)
                                    \n
                                    \n\u30b5\u30fc\u30d3\u30b9\u5b8c\u4e86\u6642\u306e\u5f85\u3061\u5ba2\u6570\u306b\u3088\u3063\u3066\u6b21\u306e\u30b5\u30fc\u30d3\u30b9\u4eba\u6570\u304c\u6c7a\u307e\u308b\u96c6\u56e3\u30b5\u30fc\u30d3\u30b9\u5f85\u3061\u884c\u5217GI\/M\/1\u3092Matrix Geometric\u89e3\u6cd5\u3092\u7528\u3044\u3066\u89e3\u6790\u3057\u3001\u5230\u7740\u6642\u70b9\u306e\u5f85\u3061\u884c\u5217\u9577\u5206\u5e03\u3084\u5f85\u3061\u6642\u9593\u306e\u30e9\u30d7\u30e9\u30b9\u5909\u63db\u3092\u6c42\u3081\u305f\u3002
                                    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                    1993\u5e7405\u670815\u65e5<\/p>\n

                                    <\/a><\/p>\n

                                    \u7b2c90\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                    \n
                                    \u65e5\u6642:<\/dt>\n
                                    4\u670817\u65e5(\u571f) 14:00\u301c16:20<\/dd>\n
                                    \u5834\u6240:<\/dt>\n
                                    \u4e0a\u667a\u5927\u5b66 \u7d00\u5c3e\u4e95\u5742\u30d3\u30eb108\u5ba4<\/dd>\n
                                    \u51fa\u5e2d:<\/dt>\n
                                    33\u540d<\/dd>\n
                                    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                    \n
                                      \n
                                    1. \u300c\u6355\u6349\u52b9\u679c\u3092\u7528\u3044\u305f\u591a\u5143\u63a5\u7d9a\u65b9\u5f0f\u300d
                                      \n\u5d8b\u672c \u85ab\u3001\u5c0f\u91ce\u91cc \u597d\u592b(\u7fa4\u99ac\u5927\u5b66)
                                      \n
                                      \n\u6355\u6349\u52b9\u679c\u3092\u6709\u52b9\u7684\u306b\u5229\u7528\u3057\u3066\u4f4e\u8ca0\u8377\u3067\u306f\u512a\u308c\u305f\u9045\u5ef6\u7279\u6027\u3001\u9ad8\u8ca0\u8377\u3067\u306f\u9ad8\u3044\u30c1\u30e3\u30f3\u30cd\u30eb\u5229\u7528\u7387\u304c\u5f97\u3089\u308c\u308b\u3088\u3046\u3001\u3042\u3089\u304b\u3058\u3081\u9001\u51fa\u30ec\u30d9\u30eb\u304a\u3088\u3073\u9001\u51fa\u30b9\u30ed\u30c3\u30c8\u3092\u5272\u308a\u5f53\u3066\u308b\u65b9\u5f0f\u3092\u63d0\u6848\u3057\u3001\u7279\u6027\u89e3\u6790\u3092\u884c\u306a\u3063\u305f\u3002\u307e\u305f\u3001TDMA\u30a6\u30a4\u30f3\u30c9\u30a6\u3092\u7528\u3044\u305f\u30a2\u30af\u30bb\u30b9\u65b9\u5f0f\u3082\u63d0\u6848\u3057\u3001\u89e3\u6790\u3057\u305f\u3002
                                      \n<\/quote><\/li>\n
                                    2. \u300cThe Application of Versatile Markovian Point Process to Variance Estimation of Throughput of a Database System\u300d
                                      \n\u848b \u6e67(\u6771\u4eac\u90fd\u7acb\u5927\u5b66)\u3001\u897f\u6751 \u5f70\u4e00(\u6771\u4eac\u7406\u79d1\u5927\u5b66)
                                      \n
                                      \nLocking Scheme\u306b\u3088\u3063\u3066\u5236\u5fa1\u3055\u308c\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u30b9\u30eb\u30fc\u30d7\u30c3\u30c8\u306e\u5206\u6563\u3092\u3001Versatile Markovian Point Process\u3092\u9069\u7528\u3057\u3066\u6c42\u3081\u308b\u8fd1\u4f3c\u89e3\u6cd5\u3092\u63d0\u6848\u3057\u3001\u6570\u5024\u4f8b\u306b\u3088\u308a\u305d\u306e\u6b63\u5f53\u6027\u3092\u793a\u3057\u305f\u3002
                                      \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                      1993\u5e7404\u670817\u65e5<\/p>\n

                                      <\/a><\/p>\n

                                      \u7b2c89\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                      \n
                                      \u65e5\u6642:<\/dt>\n
                                      2\u670820\u65e5(\u571f) 14:00\u301c16:45<\/dd>\n
                                      \u5834\u6240:<\/dt>\n
                                      \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                      \u51fa\u5e2d:<\/dt>\n
                                      23\u540d<\/dd>\n
                                      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                      \n
                                        \n
                                      1. \u300cComparison between Input and Output Buffer Models\u300d
                                        \n\u5ddd\u5cf6 \u6b66\u3001\u677e\u5bb6 \u79c0\u5e73\u3001\u5b87\u90fd \u5b9a\u53f2(\u9632\u885b\u5927\u5b66\u6821)
                                        \n
                                        \nFIFO\u898f\u5f8b\u3092\u3082\u3064\u9023\u7d9a\u30fb\u96e2\u6563\u4e21\u6642\u9593\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u3001\u5165\u529b\u30d0\u30c3\u30d5\u30a1\u3068\u51fa\u529b\u30d0\u30c3\u30d5\u30a1\u3092\u6570\u5024\u7684\u30fb\u89e3\u6790\u7684\u306b\u6bd4\u8f03\u3057\u305f\u3002\u30c8\u30e9\u30d2\u30c3\u30af\u5f37\u5ea6\u304c\u4f4e\u3044\u5834\u5408\u306b\u3001\u5165\u529b\u30d0\u30c3\u30d5\u30a1\u306e\u65b9\u304c\u68c4\u5374\u7387\u304c\u4f4e\u304f\u306a\u308b\u4f8b\u3092\u793a\u3057\u305f\u3002
                                        \n<\/quote><\/li>\n
                                      2. \u300cQuasi-Variational Inequality Approach to an Optimal Switching Problem\u300d
                                        \n\u6751\u677e \u5065\u5150(\u6771\u6d77\u5927\u5b66)
                                        \n
                                        \n\u591a\u54c1\u76ee\u591a\u6bb5\u5de5\u7a0b\u304b\u3089\u306a\u308b\u751f\u7523\u5728\u5eab\u30b7\u30b9\u30c6\u30e0\u306e\u5168\u54c1\u76ee\u306b\u5bfe\u3059\u308b\u6700\u9069\u30ed\u30c3\u30c8\u30b5\u30a4\u30ba\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u554f\u984c\u3092\u3001Quasi-Variational Inequality\u7cfb\u3068\u79f0\u3059\u308b\u9023\u7acb\u4e0d\u7b49\u5f0f\u306e\u30e2\u30c7\u30eb\u306b\u5b9a\u5f0f\u5316\u3057\u305f\u3002\u307e\u305f\u3001\u5b9f\u969b\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3092\u751f\u6210\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002
                                        \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                        1993\u5e7402\u670820\u65e5<\/p>\n

                                        <\/a><\/p>\n

                                        \u7b2c88\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                        \n
                                        \u65e5\u6642:<\/dt>\n
                                        12\u670819\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                        \u5834\u6240:<\/dt>\n
                                        \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                        \u51fa\u5e2d:<\/dt>\n
                                        25\u540d<\/dd>\n
                                        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                        \n
                                          \n
                                        1. \u300cAnalysis of a Slotted Ring Mode\u300d
                                          \n\u5c71\u5d0e \u6e90\u6cbb(\u6771\u4eac\u90fd\u7acb\u79d1\u5b66\u6280\u8853\u5927\u5b66)
                                          \n
                                          \n\u30dd\u30a2\u30bd\u30f3\u5230\u7740\u3067\u5bb9\u91cf\u6709\u9650\u306e\u30d0\u30c3\u30d5\u30a1\u3092\u3082\u3064\u5bfe\u79f0\u306a\u30b9\u30ed\u30c3\u30c6\u30c3\u30c9\u30fb\u30ea\u30f3\u30b0\u30e2\u30c7\u30eb\u3092\u89e3\u6790\u3059\u308b\u8fd1\u4f3c\u89e3\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002\u3053\u306e\u89e3\u6cd5\u3067\u306f\u3001\u30ce\u30fc\u30c9\u3068\u30b9\u30ed\u30c3\u30c8\u306e\u72b6\u614b\u304c\u72ec\u7acb\u3067\u3042\u308b\u3068\u4eee\u5b9a\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u53b3\u5bc6\u89e3\u6cd5\u3088\u308a\u5927\u5e45\u306b\u5c11\u306a\u3044\u8a08\u7b97\u91cf\u3067\u3001\u5ec3\u68c4\u7387\u30fb\u30ce\u30fc\u30c9\u4e0a\u3067\u306e\u5e73\u5747\u6ede\u7559\u6642\u9593\u7b49\u306e\u7279\u6027\u5024\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002
                                          \n<\/quote><\/li>\n
                                        2. \u300c\u78ba\u7387\u5fae\u5206\u65b9\u7a0b\u5f0f\u306b\u3088\u308b\u30d5\u30ed\u30fc\u30e2\u30c7\u30eb\u300d
                                          \n\u5c0f\u6797 \u548c\u671d(NEC C&C\u60c5\u5831\u7814\u7a76\u6240)
                                          \n
                                          \n\u96e2\u6563\u72b6\u614b\u3092\u3082\u3064\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u3092\u3001\u4e88\u6e2c\u8aa4\u5dee\u3092\u30ac\u30a6\u30b9\u96d1\u97f3\u3092\u7528\u3044\u3066\u8fd1\u4f3c\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u78ba\u7387\u5fae\u5206\u65b9\u7a0b\u5f0f\u3067\u8868\u73fe\u3057\u89e3\u6790\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002\u307e\u305f\u3053\u306e\u624b\u6cd5\u3092M\/M\/1\u3001M\/Er\/1\u3001M\/D\/1\u3001M\/M\/\u221e\u7b49\u306b\u9069\u7528\u3057\u305f\u4f8b\u3092\u793a\u3057\u305f\u3002
                                          \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                          1992\u5e7412\u670819\u65e5<\/p>\n

                                          <\/a><\/p>\n

                                          \u7b2c87\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                          \n
                                          \u65e5\u6642:<\/dt>\n
                                          11\u670821\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                          \u5834\u6240:<\/dt>\n
                                          \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                          \u51fa\u5e2d:<\/dt>\n
                                          \u540d<\/dd>\n
                                          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                          \n
                                            \n
                                          1. \u300cDerivative Estimation in Queueing Systems by Simulation\u300d
                                            \nPierre L. L’Ecuyer(University of Montreal)
                                            \n<\/p>\n

                                            <\/quote><\/li>\n

                                          2. \u300cNonpreemptive Priority Queues with Correlated Arrivals\u300d
                                            \n\u6edd\u6839 \u54f2\u54c9(\u4eac\u90fd\u5927\u5b66)
                                            \n
                                            \n\u5404\u30af\u30e9\u30b9\u306e\u5ba2\u306e\u5230\u7740\u304c\u96e2\u6563\u6642\u9593\u6709\u9650\u72b6\u614b\u30de\u30eb\u30b3\u30d5\u9023\u9396\u306a\u3089\u3073\u306b\u9023\u7d9a\u6642\u9593\u6709\u9650\u72b6\u614b\u30de\u30eb\u30b3\u30d5\u9023\u9396\u306b\u652f\u914d\u3055\u308c\u308b\u3001\u975e\u5272\u308a\u8fbc\u307f\u512a\u5148\u6a29\u4ed8\u304d\u5358\u4e00\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217\u306b\u304a\u3051\u308b\u5468\u8fba\u5f85\u3061\u884c\u5217\u9577\u5206\u5e03\u3092\u3001\u5168\u3066\u306e\u30af\u30e9\u30b9\u306e\u5ba2\u304c\u540c\u3058\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u5206\u5e03\u3092\u3082\u3064\u3068\u3044\u3046\u4eee\u5b9a\u306e\u4e0b\u3067\u5c0e\u51fa\u3057\u305f\u3002
                                            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                            1992\u5e7411\u670821\u65e5<\/p>\n

                                            <\/a><\/p>\n

                                            \u7b2c86\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                            \n
                                            \u65e5\u6642:<\/dt>\n
                                            10\u670817\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                            \u5834\u6240:<\/dt>\n
                                            \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                            \u51fa\u5e2d:<\/dt>\n
                                            20\u540d<\/dd>\n
                                            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                            \n
                                              \n
                                            1. \u300c\u5165\u529b\u30c8\u30e9\u30d2\u30c3\u30af\u306e\u30d0\u30fc\u30b9\u30c8\u6027\u306e\u5b9a\u7fa9\u306b\u3064\u3044\u3066\u300d
                                              \n\u5409\u7530 \u88d5(\u6cd5\u653f\u5927\u5b66)
                                              \n
                                              \n\u30e1\u30c3\u30bb\u30fc\u30b8\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u306b\u5bfe\u3059\u308b\u5165\u529b\u30c8\u30e9\u30d2\u30c3\u30af\u3092\u4f8b\u306b\u3068\u3063\u3066\u3001\u30d0\u30fc\u30b9\u30c8\u6027\u3092\u8868\u3059\u78ba\u7387\u5909\u6570\u3092\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u3092\u8a66\u307f\u3001\u305d\u306e\u5206\u5e03\u95a2\u6570\u3001\u5e73\u5747\u3001\u5206\u6563\u7b49\u306b\u3064\u3044\u3066\u8b70\u8ad6\u3057\u305f\u3002
                                              \n<\/quote><\/li>\n
                                            2. \u300cOn Finite Capacity Queue Arriving out of Communication Systems\u300d
                                              \n\u5c71\u4e0b \u82f1\u660e(\u4e0a\u667a\u5927\u5b66)
                                              \n
                                              \n\u30b5\u30a4\u30ba\u304c\u4e00\u822c\u5206\u5e03\u306b\u5f93\u3046\u30d0\u30fc\u30b9\u30c8\u304c\u5230\u7740\u3059\u308b\u96e2\u6563\u6642\u9593\u5f85\u3061\u884c\u5217GI\/D\/m\/M\u306e\u547c\u640d\u7387\u3001\u5f85\u3061\u6642\u9593\u5206\u5e03\u7b49\u3092\u3001\u53b3\u5bc6\u306b\u6c42\u3081\u308b\u52b9\u7387\u7684\u306a\u6570\u5024\u89e3\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002
                                              \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                              1992\u5e7410\u670817\u65e5<\/p>\n

                                              <\/a><\/p>\n

                                              \u7b2c85\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                              \n
                                              \u65e5\u6642:<\/dt>\n
                                              9\u670819\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                              \u5834\u6240:<\/dt>\n
                                              \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                              \u51fa\u5e2d:<\/dt>\n
                                              28\u540d<\/dd>\n
                                              \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                              \n
                                                \n
                                              1. \u300cRealtime Simulation for Semiconductor Fab Operation\u300d
                                                \n\u4e0a\u6751 \u79c0\u4e00\u3001\u85e4\u539f \u7766\u3001\u7c73\u7530 \u6e05(\u6771\u829d\u30b7\u30b9\u30c6\u30e0\u30fb\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u6280\u8853\u7814\u7a76\u6240)
                                                \n
                                                \n\u7d04300\u53f0\u306e\u30de\u30b7\u30f3\u3092\u5099\u3048\u3001\u6570\u5341\u7a2e\u985e\u306eDRAM\u3001\u6570\u5343\u7a2e\u306eASIC\u304c100\u304b\u3089300\u5de5\u7a0b\u306e\u51e6\u7406\u3092\u53d7\u3051\u308b\u534a\u5c0e\u4f53\u88fd\u9020\u5de5\u5834\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u958b\u767a\u306b\u3064\u3044\u3066\u5831\u544a\u3057\u305f\u3002\u307e\u305f\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u5b9f\u884c\u3092\u72b6\u614b\u8a18\u8ff0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u66f8\u304d\u63db\u3048\u306b\u3088\u308b\u3082\u306e\u3068\u8003\u3048\u3001\u3053\u308c\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u6838\u3067\u3042\u308bDEUS\u306b\u3064\u3044\u3066\u306e\u8003\u3048\u65b9\u3068\u6a5f\u80fd\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u305f\u3002
                                                \n<\/quote><\/li>\n
                                              2. \u300c\u30d0\u30c3\u30d5\u30a1\u5bb9\u91cf\u7121\u9650\u306e\u76f4\u5217\u578b\u5f85\u3061\u884c\u5217\u306b\u304a\u3051\u308b\u5b9a\u5e38\u5206\u5e03\u306e\u88fe\u306e\u3075\u308b\u307e\u3044\u306b\u3064\u3044\u3066\u300d
                                                \n\u9ad8\u6a4b \u5e78\u96c4\u3001\u7267\u672c \u76f4\u6a39(\u6771\u4eac\u5de5\u696d\u5927\u5b66)
                                                \n
                                                \n2\u6bb5\u306e\u76f4\u5217\u578b\u5f85\u3061\u884c\u5217PH\/PH1\/C1\u2192PH2\/C2\u306e\u7cfb\u5185\u5ba2\u6570\u5206\u5e03\u306e\u88fe\u304c\u6307\u6570\u5206\u5e03\u3067\u3042\u308b\u3053\u3068\u3092\u3001\u6570\u5024\u5b9f\u9a13\u306b\u3088\u308a\u793a\u3057\u305f\u3002\u307e\u305f\u3053\u308c\u3092\u8a3c\u660e\u3059\u308b\u305f\u3081\u306b\u3001\u6307\u6570\u578b\u306e\u88fe\u3092\u3082\u3064\u305f\u3081\u306e\u3042\u308b\u6761\u4ef6\u3092\u6c42\u3081\u3001\u73fe\u5728\u3069\u306e\u7a0b\u5ea6\u306e\u3053\u3068\u304c\u3044\u3048\u308b\u304b\u3092\u6574\u7406\u3057\u305f\u3002
                                                \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                1992\u5e7409\u670819\u65e5<\/p>\n

                                                <\/a><\/p>\n

                                                \u7b2c84\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                \n
                                                \u65e5\u6642:<\/dt>\n
                                                7\u670818\u65e5(\u571f) 14:00\u301c16:00<\/dd>\n
                                                \u5834\u6240:<\/dt>\n
                                                \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                                \u51fa\u5e2d:<\/dt>\n
                                                19\u540d<\/dd>\n
                                                \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                \n
                                                  \n
                                                1. \u300cRelationships between Stationary and Palm Moments in the G\/G\/1 Queue with Priorities\u300d
                                                  \nMartin A. Wortman, Ralph L. Disney (Texas A&M University)
                                                  \n
                                                  \n\u512a\u5148\u6a29\u3092\u3082\u3064G\/G\/1\u5f85\u3061\u884c\u5217\u306e Time Stationary \u30e2\u30fc\u30e1\u30f3\u30c8\u3068 Palm \u30e2\u30fc\u30e1\u30f3\u30c8\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066\u8abf\u3079\u3001PASTA \u4ee5\u5916\u3067\u306f\u3001\u4e21\u8005\u304c\u7570\u306a\u308b\u3053\u3068\u3092\u793a\u3057\u305f\u3002
                                                  \n<\/quote><\/li>\n
                                                2. \u300cDistributional Form of Little’s Law for Stationary Discrete-Time Queues\u300d
                                                  \n\u9ad8\u6a4b\u656c\u9686(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)\u3001\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)
                                                  \n
                                                  \n\u9023\u7d9a\u30fb\u96e2\u6563\u6642\u9593\u306e\u4e21\u30e2\u30c7\u30eb\u306b\u3064\u3044\u3066\u3001\u512a\u5148\u6a29\u3092\u3082\u3064\u8907\u6570\u30af\u30e9\u30b9\u3001\u30d0\u30c3\u30c1\u5230\u7740\u3001\u5358\u4e00\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217 GI\/GI\/1 \u306e\u5f85\u3061\u884c\u5217\u9577\u3068\u5f85\u3061\u6642\u9593\u5206\u5e03\u3092\u3001Inversion Formula \u3092\u7528\u3044\u3066\u5c0e\u51fa\u3057\u305f\u3002
                                                  \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                  1992\u5e7407\u670818\u65e5<\/p>\n

                                                  <\/a><\/p>\n

                                                  \u7b2c83\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                  \n
                                                  \u65e5\u6642:<\/dt>\n
                                                  6\u670820\u65e5(\u571f) 14:00\u301c16:40<\/dd>\n
                                                  \u5834\u6240:<\/dt>\n
                                                  \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                                  \u51fa\u5e2d:<\/dt>\n
                                                  28\u540d<\/dd>\n
                                                  \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                  \n
                                                    \n
                                                  1. \u300cTemporal Cell Loss Behavior in ATM Networks with Heterogeneous Burst Input\u300d
                                                    \n\u9234\u6728 \u6d0b(\u65e5\u672c\u96fb\u6c17C&C\u7814\u7a76\u6240)
                                                    \n
                                                    \nATM\u7db2\u306b\u304a\u3051\u308b\u30d0\u30fc\u30b9\u30c8\u30c8\u30e9\u30d2\u30c3\u30af\u591a\u91cd\u7279\u6027\u3092\u30d0\u30c3\u30d5\u30a1\u30ec\u30b9\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u89e3\u6790\u3057\u3001\u6d41\u4f53\u8fd1\u4f3c\u3092\u7528\u3044\u3066\u3001\u30aa\u30fc\u30d0\u30fc\u30ed\u30fc\u30c9\u671f\u9593\u4e2d\u306e\u30bb\u30eb\u5ec3\u68c4\u7387\u304a\u3088\u3073\u30aa\u30fc\u30d0\u30fc\u30ed\u30fc\u30c9\u671f\u9593\u9577\u3068\u30a2\u30f3\u30c0\u30fc\u30ed\u30fc\u30c9\u671f\u9593\u9577\u306e\u5e73\u5747\u3092\u6c42\u3081\u305f\u3002
                                                    \n<\/quote><\/li>\n
                                                  2. \u300cTime-dependent Rate Conservation Law and its Appplications\u300d
                                                    \n\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)
                                                    \n
                                                    \n\u521d\u671f\u72b6\u614b\u304c\u4e0e\u3048\u3089\u308c\u3001\u6642\u9593\u306b\u4f9d\u5b58\u3059\u308b\u4e00\u822c\u306e\u904e\u7a0b\u306b\u5bfe\u3059\u308bRate Conservation Law\u3092\u5c0e\u51fa\u3057\u3001\u30ea\u30b9\u30af\u904e\u7a0b\u3068\u5728\u5eab\u904e\u7a0b\u306b\u9069\u7528\u3057\u305f\u3002
                                                    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                    1992\u5e7406\u670820\u65e5<\/p>\n

                                                    <\/a><\/p>\n

                                                    \u7b2c82\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                    \n
                                                    \u65e5\u6642:<\/dt>\n
                                                    5\u670823\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                    \u5834\u6240:<\/dt>\n
                                                    \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                                    \u51fa\u5e2d:<\/dt>\n
                                                    41\u540d<\/dd>\n
                                                    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                    \n
                                                      \n
                                                    1. \u300cOn Queues in Light Traffic\u300d
                                                      \nRonald W. Wolff(University of California, Berkeley)
                                                      \n
                                                      \n\u8efd\u8ca0\u8377\u306e\u3082\u3068\u3067\u3001M\/G\/c\u306e\u6027\u80fd\u8a55\u4fa1\u306b\u5bfe\u3059\u308b\u3088\u304f\u77e5\u3089\u308c\u3066\u3044\u308b\u8fd1\u4f3c\u306e\u7cbe\u5ea6\u3068\u3001\u305d\u306e\u8fd1\u4f3c\u304c\u4e0a\u754c\u307e\u305f\u306f\u4e0b\u754c\u306b\u306a\u308b\u6761\u4ef6\u3092\u8abf\u3079\u305f\u3002\u307e\u305f\u3001\u8fd1\u4f3c\u306e\u6539\u826f\u3082\u63d0\u6848\u3057\u305f\u3002
                                                      \n<\/quote><\/li>\n
                                                    2. \u300cA Dimensioning Method for Broadband-Integrated Services Digital Networks\u300d
                                                      \nFrank M. Brochin(Northern Telecom Japan, Inc.)
                                                      \n
                                                      \nB-ISDN\u306b\u304a\u3051\u308bDimensioning\u304c\u56f0\u96e3\u3067\u3042\u308b\u306e\u306f\u3001\u7570\u306a\u308b\u7279\u6027\u30fb\u901a\u4fe1\u54c1\u8cea\u8981\u6c42\u3092\u3082\u3064\u591a\u7a2e\u306e\u30c8\u30e9\u30d2\u30c3\u30af\u3092ATM\u306b\u3088\u3063\u3066\u591a\u91cd\u5316\u3059\u308b\u305f\u3081\u3067\u3042\u308b\u3068\u3057\u3001ATM\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306eDimensioning\u306b\u5bfe\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u63d0\u6848\u3057\u305f\u3002
                                                      \n<\/quote><\/li>\n
                                                    3. \u300cRecent Developments in Matrix-Analytic Methods for the Solution of Queueing Problems\u300d
                                                      \nMarcel F. Neuts(University of Arizona)
                                                      \n
                                                      \nGI\/M\/1\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308bMatrix-Geometric Solution\u306e\u6700\u8fd1\u306e\u7d50\u679c\u3068\u3001M\/G\/1\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308bStructured\u30de\u30eb\u30b3\u30d5\u9023\u9396\u306e\u65b0\u3057\u3044\u7d50\u679c\u306e\u6982\u8981\u306b\u3064\u3044\u3066\u8ff0\u3079\u305f\u3002
                                                      \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                      1992\u5e7405\u670823\u65e5<\/p>\n

                                                      <\/a><\/p>\n

                                                      \u7b2c81\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                      \n
                                                      \u65e5\u6642:<\/dt>\n
                                                      4\u670818\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                      \u5834\u6240:<\/dt>\n
                                                      \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281-94\u53f7\u5ba4<\/dd>\n
                                                      \u51fa\u5e2d:<\/dt>\n
                                                      29\u540d<\/dd>\n
                                                      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                      \n
                                                        \n
                                                      1. \u300cNon-Stationary Solution for Statistical Multiplexing\u300d
                                                        \n\u5c0f\u6797 \u4e45\u5fd7(Princeton University)
                                                        \n
                                                        \nATM\u3067\u7528\u3044\u3089\u308c\u3066\u3044\u308b\u7d71\u8a08\u591a\u91cd\u5316\u306e\u904e\u6e21\u7279\u6027\u3092\u3001\u5358\u4e00\u30af\u30e9\u30b9\u547c\u6e90\u3068\u8907\u6570\u30af\u30e9\u30b9\u547c\u6e90\u306e\u5834\u5408\u306b\u3064\u3044\u3066\u3001\u6d41\u4f53\u8fd1\u4f3c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u89e3\u6790\u3057\u305f\u3002
                                                        \n<\/quote><\/li>\n
                                                      2. \u300c\u30b7\u30b9\u30c6\u30e0\u6027\u80fd\u8a55\u4fa1\u306b\u304a\u3051\u308b\u7de9\u548c\u6642\u9593\u3068\u305d\u306e\u5468\u8fba\u300d
                                                        \n\u4e0b\u5ddd \u4fe1\u7950(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                                        \n
                                                        \n\u5b9a\u5e38\u78ba\u7387\u904e\u7a0b\u306e\u7de9\u548c\u7279\u6027\u304c\u3001\u4e2d\u5fc3\u6975\u9650\u5b9a\u7406\u30fb\u6563\u9038\u529b\u5b66\u7cfb\u30a2\u30c8\u30e9\u30af\u30bf\u30fb1\/f\u3086\u3089\u304e\u7b49\u306e\u591a\u69d8\u3067\u57fa\u672c\u7684\u306a\u8a71\u984c\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u6319\u3052\u3001\u8907\u96d1\u3055\u306b\u3088\u308b\u56f0\u96e3\u304c\u5897\u5927\u3057\u3066\u304d\u305f\u30b7\u30b9\u30c6\u30e0\u8a55\u4fa1\u306b\u5bfe\u3057\u3066\u3001\u4e00\u8cab\u3057\u305f\u59cb\u70b9\u3092\u3082\u305f\u3089\u3059\u3082\u306e\u3068\u3057\u3066\u3001\u7de9\u548c\u6642\u9593\u7b49\u306e\u91cd\u8981\u6027\u3092\u4e3b\u5f35\u3057\u305f\u3002
                                                        \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                        1992\u5e7404\u670818\u65e5<\/p>\n

                                                        <\/a><\/p>\n

                                                        \u7b2c80\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                        \n
                                                        \u65e5\u6642:<\/dt>\n
                                                        3\u670821\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                        \u5834\u6240:<\/dt>\n
                                                        \u6771\u4eac\u5de5\u696d\u5927\u5b66 (\u5927\u5ca1\u5c71) \u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4<\/dd>\n
                                                        \u51fa\u5e2d:<\/dt>\n
                                                        19\u540d<\/dd>\n
                                                        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                        \n
                                                          \n
                                                        1. \u300c\u512a\u5148\u6a29\u4ed8\u304d\u5373\u6642\u30fb\u5f85\u6642\u6df7\u5408\u30b7\u30b9\u30c6\u30e0\u306e\u89e3\u6790\u300d
                                                          \n\u725b \u5fd7\u5347\u3001\u79cb\u4e38 \u6625\u592b(\u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66)
                                                          \n
                                                          \nB-ISDN (Broadband Integrated Services Digital Network)\u30b7\u30b9\u30c6\u30e0\u304b\u3089\u62bd\u51fa\u3057\u305f\u6a19\u8a18\u30e2\u30c7\u30eb\u3092\u63d0\u6848\u3057\u305f\u3002\u4f4d\u76f8\u30de\u30eb\u30b3\u30d5\u518d\u751f\u5165\u529b\u3001\u4f4d\u76f8\u578b\u30b5\u30fc\u30d3\u30b9\u5206\u5e03\u3092\u4eee\u5b9a\u3057\u3001\u884c\u5217\u5e7e\u4f55\u7684\u89e3\u6cd5\u306b\u3088\u308a\u6240\u8981\u306e\u8a55\u4fa1\u5c3a\u5ea6\u3092\u6c42\u3081\u305f\u3002
                                                          \n<\/quote><\/li>\n
                                                        2. \u300cCovariance Structure of Interrupted Markov Modulated Poisson Process\u300d
                                                          \n\u753a\u539f \u6587\u660e(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                                          \n
                                                          \n\u901a\u4fe1\u7db2\u306b\u304a\u3051\u308b\u3055\u307e\u3056\u307e\u306e\u5165\u529b\u904e\u7a0b\u3092\u8a18\u8ff0\u3059\u308b\u65ad\u7d9a\u30de\u30eb\u30b3\u30d5\u5909\u8abf\u904e\u7a0b\u3092\u63d0\u6848\u3057\u3001\u305d\u306e\u751f\u8d77\u9593\u9694\u306e\u5171\u5206\u6563\u69cb\u9020\u306b\u95a2\u3057\u3066\u8ad6\u3058\u305f\u3002\u672c\u904e\u7a0b\u306f\u65e2\u5b58\u306e\u65ad\u7d9a\u30dd\u30a2\u30bd\u30f3\u904e\u7a0b (IPP)\u3001\u30de\u30eb\u30b3\u30d5\u5909\u8abf\u904e\u7a0b (MMPP)\u3092\u7279\u6b8a\u306a\u5834\u5408\u3068\u3057\u3066\u542b\u3080\u3002
                                                          \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                          1992\u5e7403\u670821\u65e5<\/p>\n

                                                          <\/a><\/p>\n

                                                          \u7b2c79\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                          \n
                                                          \u65e5\u6642:<\/dt>\n
                                                          2\u670815\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                          \u5834\u6240:<\/dt>\n
                                                          \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                          \u51fa\u5e2d:<\/dt>\n
                                                          31\u540d<\/dd>\n
                                                          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                          \n
                                                            \n
                                                          1. \u300cAnalysis of multiple queues with passing servers\u300d
                                                            \n\u4f4f\u7530 \u6f6e(\u56fd\u969b\u5927\u5b66\/Rochester\u5927\u5b66)
                                                            \n
                                                            \nMAN (Metropolitan Area Network)\u306b\u304a\u3051\u308bDQDB (Distributed Queues with Dual Bus)\u30b7\u30b9\u30c6\u30e0\u304b\u3089\u62bd\u51fa\u3057\u305f\u6a19\u8a18\u30e2\u30c7\u30eb\u3092\u63d0\u6848\u30fb\u89e3\u6790\u3057\u3001\u6240\u8981\u306e\u8a55\u4fa1\u5c3a\u5ea6\u3092\u5f97\u305f\u3002
                                                            \n<\/quote><\/li>\n
                                                          2. \u300cHeavy and light traffic in fluid models with burst arrivals\u300d
                                                            \nK. Sigman(Columbia\u5927\u5b66)\u3001\u5c71\u5d0e \u6e90\u6cbb(\u90fd\u7acb\u79d1\u5b66\u6280\u8853\u5927\u5b66)
                                                            \n
                                                            \nGradual input GI\/GI\/1\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u6b8b\u4f59\u4ed5\u4e8b\u91cf\u3092\u901a\u5e38\u306eGI\/GI\/1\u3068GI\/GI\/\u221e\u306b\u304a\u3051\u308b\u6b8b\u4f59\u4ed5\u4e8b\u91cf\u306b\u5206\u89e3\u3057\u3001\u91cd\u8ca0\u8377\u30fb\u8efd\u8ca0\u8377\u6975\u9650\u5b9a\u7406\u3092\u5c0e\u51fa\u3057\u305f\u3002
                                                            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                            1992\u5e7402\u670815\u65e5<\/p>\n

                                                            <\/a><\/p>\n

                                                            \u7b2c78\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                            \n
                                                            \u65e5\u6642:<\/dt>\n
                                                            12\u670814\u65e5(\u571f) 14:00\u301c17:20<\/dd>\n
                                                            \u5834\u6240:<\/dt>\n
                                                            \u6771\u4eac\u5de5\u696d\u5927\u5b66\u7d4c\u55b6\u5de5\u5b66\u79d1\u4f1a\u8b70\u5ba4<\/dd>\n
                                                            \u51fa\u5e2d:<\/dt>\n
                                                            32\u540d<\/dd>\n
                                                            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                            \n
                                                              \n
                                                            1. \u300cAnalysis of repairable queueing systems\u300d
                                                              \nJinhua Cao(\u4e2d\u56fd\u79d1\u5b66\u9662\u5fdc\u7528\u6570\u5b66\u7814\u7a76\u6240\u3001\u5317\u4eac)
                                                              \n
                                                              \n\u4e3b\u306b\u3001\u6307\u6570\u9593\u9694\u3067\u30b5\u30fc\u30d3\u30b9\u4e2d\u65ad\u304c\u8d77\u3053\u308bM\/G\/1\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u30b5\u30fc\u30d9\u30a4\u3092\u884c\u306a\u3044\u3001\u6027\u80fd\u30fb\u4fe1\u983c\u6027\u8a55\u4fa1\u5c3a\u5ea6\u3092\u6c42\u3081\u305f\u3002\u307e\u305f\u3001\u4e2d\u56fd\u306b\u304a\u3051\u308b\u6700\u8fd1\u306e\u95a2\u9023\u7814\u7a76\u3092\u7d39\u4ecb\u3057\u305f\u3002
                                                              \n<\/quote><\/li>\n
                                                            2. \u300cInterchangeability and bounds for tandem queues via coupling\u300d
                                                              \nRonald W. Wolff(\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u5927\u5b66 \u30d0\u30fc\u30af\u30ec\u30a4\u6821)
                                                              \n
                                                              \n\u76f4\u5217\u578b\u5f85\u3061\u884c\u5217\u304c\u4ea4\u63db\u53ef\u80fd\u3068\u306f\u3001\u4efb\u610f\u306e\u30bf\u30b9\u30af\u306e\u914d\u5217\u306b\u5bfe\u3057\u3066\u3001\u7cfb\u5916\u3078\u306e\u5230\u7740\u904e\u7a0b\u304c\u78ba\u7387\u7684\u306b\u540c\u4e00\u306e\u6642\u3092\u8a00\u3046\u3002Coupling\u6cd5\u306b\u3088\u308a\u3001\u5358\u4e00\u30b5\u30fc\u30d0\u76f4\u5217\u578b\u5f85\u3061\u884c\u5217\u306e\u4ea4\u63db\u53ef\u80fd\u6027\u3092\u8ad6\u3058\u305f\u3002
                                                              \n<\/quote><\/li>\n
                                                            3. \u300c\u30b7\u30e5\u30c4\u30c3\u30c8\u30ac\u30eb\u30c8\u5927\u5b66 (\u30c9\u30a4\u30c4)\u6ede\u5728\u5831\u544a\u300d
                                                              \n\u5409\u91ce \u79c0\u660e(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                                              \n
                                                              \n1\u5e74\u9593\u6ede\u5728\u3057\u305fStuttgart\u5927\u5b66\u4ea4\u63db\u30fb\u30c7\u30fc\u30bf\u6280\u8853\u7814\u7a76\u6240\u3092\u7c21\u5358\u306b\u7d39\u4ecb\u3057\u305f\u5f8c\u3001ATM\u306b\u304a\u3051\u308b\u547c\u53d7\u3051\u4ed8\u3051\u306b\u95a2\u3059\u308b\u30c8\u30e9\u30d2\u30c3\u30af\u5236\u5fa1\u554f\u984c\u3092\u8003\u5bdf\u3057\u305f\u3002
                                                              \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                              1991\u5e7412\u670814\u65e5<\/p>\n

                                                              <\/a><\/p>\n

                                                              \u7b2c77\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                              \n
                                                              \u65e5\u6642:<\/dt>\n
                                                              11\u670816\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                              \u5834\u6240:<\/dt>\n
                                                              \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                              \u51fa\u5e2d:<\/dt>\n
                                                              26\u540d<\/dd>\n
                                                              \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                              \n
                                                                \n
                                                              1. \u300c\u5927\u898f\u6a21\u5206\u6563\u51e6\u7406\u30b7\u30b9\u30c6\u30e0\u306e\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u4f8b\u300d
                                                                \n\u4f50\u85e4 \u662d(\u5bcc\u58eb\u901a\u4fdd\u967a\u8a3c\u5238\u30b7\u30b9\u30c6\u30e0\u7d71\u62ec\u90e8)
                                                                \n
                                                                \n\u4fdd\u967a\u696d\u52d9\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u5b9f\u30b7\u30b9\u30c6\u30e0\u3092\u5f85\u3061\u884c\u5217\u7db2\u306b\u3088\u308a\u30e2\u30c7\u30eb\u5316\u3057\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u5fdc\u7b54\u6642\u9593\u5206\u5e03\u3092\u6c42\u3081\u305f\u3002\u307e\u305f\u3001\u672c\u30b7\u30b9\u30c6\u30e0\u306e\u89e3\u6790\u3092\u901a\u3057\u3066\u3001\u5fc5\u8981\u306a\u5f85\u3061\u884c\u5217\u7406\u8ad6\u3001\u7406\u8ad6\u5bb6\u306b\u5bfe\u3059\u308b\u671f\u5f85\u306b\u3064\u3044\u3066\u8a00\u53ca\u3057\u305f\u3002
                                                                \n<\/quote><\/li>\n
                                                              2. \u300c\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u60c5\u5831\u51e6\u7406\u30b7\u30b9\u30c6\u30e0\u306e\u30d0\u30b9\u30c8\u30e9\u30d2\u30c3\u30af\u8a55\u4fa1\u300d
                                                                \n\u962a\u672c \u79c0\u6a39\u3001\u4e38\u5c71 \u5145\u3001\u77f3\u6a4b \u8c4a\u3001\u897f\u6751 \u4e00\u654f(NTT\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u7814\u7a76\u6240)
                                                                \n
                                                                \n\u6a19\u8a18\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3044\u3066\u3001\u30e1\u30c7\u30a3\u30a2\u60c5\u5831\u3068\u5236\u5fa1\u60c5\u5831\u304c\u30d0\u30b9\u3092\u5171\u6709\u3059\u308b\u3068\u304d\u306e\u9045\u5ef6\u89e3\u6790\u554f\u984c\u3092\u53d6\u308a\u6271\u3063\u305f\u3002\u6027\u80fd\u8a55\u4fa1\u306b\u306fFIFO\u578b\u304a\u3088\u3073\u512a\u5148\u6a29\u578bM\/G\/1\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u30e2\u30c7\u30eb\u5316\u306e\u59a5\u5f53\u6027\u3092\u78ba\u8a8d\u3057\u305f\u3002
                                                                \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                1991\u5e7411\u670816\u65e5<\/p>\n

                                                                <\/a><\/p>\n

                                                                \u7b2c76\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                \n
                                                                \u65e5\u6642:<\/dt>\n
                                                                10\u670819\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                \u5834\u6240:<\/dt>\n
                                                                \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                \u51fa\u5e2d:<\/dt>\n
                                                                26\u540d<\/dd>\n
                                                                \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                \n
                                                                  \n
                                                                1. \u300cM\/G\/s\/N\u5f85\u3061\u884c\u5217\u306e\u5b9a\u5e38\u72b6\u614b\u78ba\u7387\u306b\u5bfe\u3059\u308b\u8fd1\u4f3c\u300d
                                                                  \n\u6728\u6751 \u4fca\u4e00(\u5317\u6d77\u9053\u5927\u5b66)
                                                                  \n
                                                                  \n\u7121\u9650\u5bb9\u91cfM\/G\/s\u306b\u5bfe\u3059\u308b\u5e73\u5747\u5f85\u3061\u6642\u9593\u8fd1\u4f3c\u5f0f\u3068\u9006\u702c\u5ddd\u30fb\u5bae\u6ca2\u30fb\u5c71\u5d0e (1990)\u306b\u3088\u308b\u6709\u9650\u5bb9\u91cf\u3068\u7121\u9650\u5bb9\u91cf\u30e2\u30c7\u30eb\u306e\u95a2\u4fc2\u5f0f\u3092\u7528\u3044\u3066\u3001\u6a19\u8a18\u5f85\u3061\u884c\u5217\u306e\u5b9a\u5e38\u72b6\u614b\u78ba\u7387\u8fd1\u4f3c\u5f0f\u3092\u63d0\u6848\u3057\u305f\u3002
                                                                  \n<\/quote><\/li>\n
                                                                2. \u300c\u5f85\u3061\u884c\u5217\u7db2\u30e2\u30c7\u30eb\u306b\u3088\u308b\u30c7\u30fc\u30bf\u30ea\u30f3\u30af\u30d7\u30ed\u30c8\u30b3\u30eb\u306e\u6027\u80fd\u89e3\u6790\u300d
                                                                  \n\u6c60\u5ddd \u9686\u53f8(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                                                  \n
                                                                  \n\u30c7\u30fc\u30bf\u30ea\u30f3\u30af\u30d7\u30ed\u30c8\u30b3\u30eb\u3092\u6982\u8aac\u3057\u305f\u5f8c\u3001\u30a6\u30a4\u30f3\u30c9\u30a6\u5236\u5fa1\u3068go-back-n\u518d\u9001\u65b9\u5f0f\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u30ea\u30f3\u30af\u3092\u9589\u9396\u578bBCMP\u5f85\u3061\u884c\u5217\u7db2\u306b\u3088\u308a\u30e2\u30c7\u30eb\u5316\u3057\u3001\u5e73\u5747\u5024\u89e3\u6790\u6cd5\u306b\u3088\u308a\u6240\u8981\u306e\u6027\u80fd\u8a55\u4fa1\u5c3a\u5ea6\u3092\u5f97\u305f\u3002
                                                                  \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                  1991\u5e7410\u670819\u65e5<\/p>\n

                                                                  <\/a><\/p>\n

                                                                  \u7b2c75\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                  \n
                                                                  \u65e5\u6642:<\/dt>\n
                                                                  9\u670821\u65e5(\u571f) 14:00\u301c17:00<\/dd>\n
                                                                  \u5834\u6240:<\/dt>\n
                                                                  \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                  \u51fa\u5e2d:<\/dt>\n
                                                                  27\u540d<\/dd>\n
                                                                  \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                  \n
                                                                    \n
                                                                  1. \u300c\u5165\u51fa\u529b\u4e21\u5074\u306b\u30d0\u30c3\u30d5\u30a1\u3092\u540c\u6642\u306b\u6301\u3064\u30de\u30eb\u30c1\u30c1\u30e3\u30f3\u30cd\u30ebATM\u4ea4\u63db\u6a5f\u306e\u6027\u80fd\u8a55\u4fa1\u300d
                                                                    \n\u9418 \u6587\u5fb3\u3001\u5c0f\u91ce\u91cc \u597d\u90a6(\u96fb\u6c17\u901a\u4fe1\u5927\u5b66)
                                                                    \n
                                                                    \n\u6a19\u8a18\u4ea4\u63db\u6a5f\u306b\u304a\u3051\u308b\u30bb\u30eb\u885d\u7a81\u3092\u56de\u907f\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u63d0\u6848\u3057\u3001\u305d\u306e\u6027\u80fd\u8a55\u4fa1\u3092\u884c\u306a\u3063\u305f\u3002\u8a55\u4fa1\u6cd5\u306b\u306f\u3001\u96e2\u6563\u6642\u9593\u30e2\u30c7\u30eb\u3068M\/D\/s\u30e2\u30c7\u30eb\u3092\u4f75\u7528\u3057\u305f\u3002
                                                                    \n<\/quote><\/li>\n
                                                                  2. \u300cAnalysis of a priority queue with Bernoulli schedules\u300d
                                                                    \n\u7247\u5c71 \u52c1(\u5bcc\u5c71\u770c\u7acb\u5927\u5b66)\u3001\u9ad8\u6a4b \u656c\u9686(NTT\u7814\u7a76\u6240)
                                                                    \n
                                                                    \n\u30d9\u30eb\u30cc\u30fc\u30a4\u8a66\u884c\u306b\u3088\u308a\u51e6\u7406\u3059\u308b\u30af\u30e9\u30b9\u3092\u6307\u5b9a\u3059\u308b\u512a\u5148\u6a29\u30e2\u30c7\u30eb\u3092\u63d0\u6848\u3057\u3001\u305d\u306e\u89e3\u6790\u3092\u884c\u306a\u3063\u305f\u3002\u672c\u30e2\u30c7\u30eb\u306f\u975e\u5272\u8fbc\u30fb\u4ea4\u756a\u512a\u5148\u6a29\u30e2\u30c7\u30eb\u3092\u7279\u6b8a\u306a\u5834\u5408\u3068\u3057\u3066\u542b\u3093\u3067\u3044\u308b\u3002
                                                                    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                    1991\u5e7409\u670821\u65e5<\/p>\n

                                                                    <\/a><\/p>\n

                                                                    \u7b2c74\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                    \n
                                                                    \u65e5\u6642:<\/dt>\n
                                                                    8\u670817\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                    \u5834\u6240:<\/dt>\n
                                                                    \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                    \u51fa\u5e2d:<\/dt>\n
                                                                    32\u540d<\/dd>\n
                                                                    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                    \n
                                                                      \n
                                                                    1. \u300c\u96e2\u6563\u578b\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306e\u89e3\u6790\u306b\u95a2\u3059\u308b2, 3\u306e\u8a71\u984c\u300d
                                                                      \n\u6edd\u6839 \u54f2\u54c9(\u4eac\u90fd\u5927\u5b66)
                                                                      \n
                                                                      \nATM\u3078\u306e\u5fdc\u7528\u3092\u8003\u616e\u3057\u305f\u96e2\u6563\u6642\u9593\u5f85\u3061\u884c\u5217 (\u975e\u5272\u8fbc\u512a\u5148\u6a29\u3001\u6709\u9650\u5bb9\u91cf\u3001\u4e00\u822c\u4ea4\u4ee3\u96c6\u56e3\u30d9\u30eb\u30cc\u30fc\u30a4\u5165\u529b)\u30e2\u30c7\u30eb\u3092\u89e3\u6790\u3059\u308b\u554f\u984c\u3092\u53d6\u308a\u6271\u3063\u305f\u3002
                                                                      \n<\/quote><\/li>\n
                                                                    2. \u300c\u512a\u5148\u6a29\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u7cfb\u5185\u5ba2\u6570\u5206\u5e03\u3068\u5f85\u3061\u6642\u9593\u5206\u5e03\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066\u300d
                                                                      \n\u9ad8\u6a4b \u656c\u9686(NTT\u7814\u7a76\u6240)\u3001\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)
                                                                      \n
                                                                      \n\u70b9\u904e\u7a0b\u8ad6\u306b\u304a\u3051\u308b\u78ba\u7387\u7684\u5e73\u5747\u5024\u306e\u5b9a\u7406\u3092\u7528\u3044\u3066\u3001\u6a19\u8a18\u95a2\u4fc2\u5f0f (\u30ea\u30c8\u30eb\u306e\u516c\u5f0f\u306e\u5206\u5e03\u7248)\u3092\u6c42\u3081\u305f\u3002
                                                                      \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                      1991\u5e7408\u670817\u65e5<\/p>\n

                                                                      <\/a><\/p>\n

                                                                      \u7b2c73\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                      \n
                                                                      \u65e5\u6642:<\/dt>\n
                                                                      7\u670820\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                      \u5834\u6240:<\/dt>\n
                                                                      \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                      \u51fa\u5e2d:<\/dt>\n
                                                                      32\u540d<\/dd>\n
                                                                      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                      \n
                                                                        \n
                                                                      1. \u300cLadder distributions and ruin probabilities of stochastic risk processes\u300d
                                                                        \nV. Schmidt(Freiberg\u9271\u5c71\u5927\u5b66)
                                                                        \n
                                                                        \n\u30de\u30fc\u30af\u4ed8\u70b9\u904e\u7a0b\u03a8\u301c{[Tn,Mn]}\u306b\u5bfe\u3057\u3001X(t)=a+ct-\u03a3Mk (1\u2266k\u2266\u03a8(t))\u3067\u8868\u73fe\u3055\u308c\u308b\u30ea\u30b9\u30af\u30e2\u30c7\u30eb\u3092\u8a2d\u5b9a\u3057\u3001\u6a19\u8a18\u5c3a\u5ea6\u306e\u4e0a\u9650\u30fb\u4e0d\u7b49\u5f0f\u3092\u6c42\u3081\u308b\u554f\u984c\u3092\u53d6\u308a\u6271\u3063\u305f\u3002
                                                                        \n<\/quote><\/li>\n
                                                                      2. \u300cPerformance modelling of a shared buffer ATM switch architecture\u300d
                                                                        \n\u5c71\u4e0b \u82f1\u660e(\u4e0a\u667a\u5927\u5b66)\u3001H. G. Perros, S. W. Hong(North Carolina\u5dde\u7acb\u5927\u5b66)
                                                                        \n
                                                                        \nATM\u4ea4\u63db\u6a5f\u306b\u304a\u3051\u308b\u5171\u6709\u30d0\u30c3\u30d5\u30a1\u65b9\u5f0f\u3092\u30de\u30eb\u30b3\u30d5\u9023\u9396\u30e2\u30c7\u30eb\u3067\u8a18\u8ff0\u3057\u3001\u305d\u306e\u8fd1\u4f3c\u89e3\u6cd5\u3092\u63d0\u6848\u3057\u305f\u3002
                                                                        \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                        1991\u5e7407\u670820\u65e5<\/p>\n

                                                                        <\/a><\/p>\n

                                                                        \u7b2c72\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                        \n
                                                                        \u65e5\u6642:<\/dt>\n
                                                                        6\u670815\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                        \u5834\u6240:<\/dt>\n
                                                                        \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u672c\u99281\u968e94\u53f7\u5ba4(\u60c5\u5831\u79d1\u5b66\u79d1\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                        \u51fa\u5e2d:<\/dt>\n
                                                                        23\u540d<\/dd>\n
                                                                        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                        \n
                                                                          \n
                                                                        1. \u300c\u673a\u4e0d\u8db3\u5f85\u3061\u884c\u5217\u306b\u3064\u3044\u3066\u300d
                                                                          \n\u798f\u7530 \u660e(\u9759\u5ca1\u5927\u5b66)
                                                                          \n
                                                                          \n\u30de\u30eb\u30c1\u30d7\u30ed\u30bb\u30c3\u30b5\u30fb\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30e1\u30e2\u30ea\u30fc\u30d0\u30b9\u7af6\u5408\u554f\u984c\u304b\u3089\u6a19\u8a18\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u3092\u62bd\u51fa\u30fb\u63d0\u6848\u3057\u305f\u3002\u307e\u305f\u673a\u4e0d\u8db3\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306e\u30c8\u30e9\u30d2\u30c3\u30af\u7279\u6027\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u8abf\u3079\u305f\u3002
                                                                          \n<\/quote><\/li>\n
                                                                        2. \u300c\u30af\u30e9\u30b9\u30bf\u30fc\u578b\u5230\u7740\u3092\u6301\u3064\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u3068\u6d41\u4f53\u8fd1\u4f3c\u300d
                                                                          \n\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66)\u3001\u5c71\u5d0e \u6e90\u6cbb(\u90fd\u7acb\u79d1\u5b66\u6280\u8853\u5927\u5b66)\u3001K. Sigman(Columbia Univ.)
                                                                          \n
                                                                          \n\u6700\u8fd1\u306e\u901a\u4fe1\u7db2\u306b\u73fe\u308c\u3066\u3044\u308b\u76f8\u95a2\u6027\u3084\u30d0\u30fc\u30b9\u30c8\u6027\u306e\u5f37\u3044\u5230\u7740\u904e\u7a0b\u3092(\u70b9\u904e\u7a0b\u306e1\u3064\u3067\u3042\u308b)\u30af\u30e9\u30b9\u30bf\u30fc\u904e\u7a0b\u306b\u3088\u308a\u6574\u7406\u30fb\u5206\u985e\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u578b\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308b\u6d41\u4f53\u8fd1\u4f3c\u306e\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u8ad6\u3058\u305f\u3002
                                                                          \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                          1991\u5e7406\u670815\u65e5<\/p>\n

                                                                          <\/a><\/p>\n

                                                                          \u7b2c71\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                          \n
                                                                          \u65e5\u6642:<\/dt>\n
                                                                          4\u670820\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                          \u5834\u6240:<\/dt>\n
                                                                          \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                          \u51fa\u5e2d:<\/dt>\n
                                                                          25\u540d<\/dd>\n
                                                                          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                          \n
                                                                            \n
                                                                          1. \u300c\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u30d5\u30ed\u30fc\u30e2\u30c7\u30eb\u306e\u4e00\u822c\u5316\uff1a\u518d\u69cb\u7bc9\u3068\u89e3\u91c8\u300d
                                                                            \n\u5c0f\u6797 \u548c\u671d\u3001\u7d00 \u4e00\u8aa0(\u65e5\u672c\u96fb\u6c17C&C\u60c5\u5831\u7814\u7a76\u6240)
                                                                            \n
                                                                            \n\u5f85\u3061\u884c\u5217\u30b7\u30b9\u30c6\u30e0\u306e\u30d5\u30ed\u30fc\u30e2\u30c7\u30eb\u3092\u8003\u5bdf\u3057\u3001\u30c9\u30ea\u30d5\u30c8\u4fc2\u6570\u306e\u96f6\u70b9\u3068Stratonovich\u578b\u78ba\u7387\u5fae\u5206\u65b9\u7a0b\u5f0f\u306b\u3057\u305f\u304c\u3046\u5b9a\u5e38\u5206\u5e03\u306e\u6975\u5024\u70b9\u3068\u306e\u95a2\u4fc2\u3092\u660e\u3089\u304b\u306b\u3057\u305f\u3002
                                                                            \n<\/quote><\/li>\n
                                                                          2. \u300c\u30de\u30eb\u30b3\u30d5\u578b\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u6ede\u5728\u6642\u9593\u554f\u984c\u306b\u3064\u3044\u3066\u300d
                                                                            \n\u5c0f\u6ca2 \u5229\u4e45\u3001\u80fd\u689d \u54f2(NTT\u7814\u7a76\u6240)
                                                                            \n
                                                                            \n\u30aa\u30f3\u30fb\u30aa\u30d52\u72b6\u614b\u3092\u3082\u3064\u30de\u30eb\u30b3\u30d5\u904e\u7a0b\u306b\u304a\u3044\u3066\u3001\u30aa\u30f3\u72b6\u614b\u306e\u7dcf\u6ede\u5728\u6642\u9593\u5206\u5e03\u3092\u967d\u306b\u6c42\u3081\u308b\u554f\u984c\u3068\u305d\u306e\u5fdc\u7528\u306b\u3064\u3044\u3066\u8ff0\u3079\u305f\u3002
                                                                            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                            1991\u5e7404\u670820\u65e5<\/p>\n

                                                                            <\/a><\/p>\n

                                                                            \u7b2c70\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                            \n
                                                                            \u65e5\u6642:<\/dt>\n
                                                                            3\u670816\u65e5(\u571f) 14:00\u301c17:00<\/dd>\n
                                                                            \u5834\u6240:<\/dt>\n
                                                                            \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                            \u51fa\u5e2d:<\/dt>\n
                                                                            25\u540d<\/dd>\n
                                                                            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                            \n
                                                                              \n
                                                                            1. \u300c\u5b9a\u6027\u63a8\u8ad6\u306b\u3088\u308b\u5f85\u3061\u884c\u5217\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u300d
                                                                              \n\u4f0a\u85e4 \u6f54(\u4e0a\u667a\u5927\u5b66\u7406\u5de5\u5b66\u90e8)
                                                                              \n
                                                                              \n\u77e5\u8b58\u5de5\u5b66\u7684\u624b\u6cd5\u3092\u7528\u3044\u3066\u958b\u653e\u578b\u5358\u4e00\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217\u7db2\u306e\u30dc\u30c8\u30eb\u30cd\u30c3\u30af\u8a3a\u65ad\u6cd5\u3092\u8003\u5bdf\u3057\u3001\u3053\u306e\u305f\u3081\u306e\u77e5\u8b58BDES\u3068\u305d\u306e\u5b9f\u884c\u4f8b\u3092\u793a\u3057\u305f\u3002
                                                                              \n<\/quote><\/li>\n
                                                                            2. \u300c\u7b49\u5468\u4e0d\u7b49\u5f0f\u3068\u305d\u306e\u5f85\u3061\u5408\u308f\u305b\u904e\u7a0b\u3078\u306e\u5fdc\u7528\u300d
                                                                              \n\u4e0b\u5ddd \u4fe1\u7950(NTT\u4ea4\u63db\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240)
                                                                              \n
                                                                              \n\u5e7e\u4f55\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3042\u308b\u7b49\u5468\u554f\u984c\u3092\u7d39\u4ecb\u3057\u3001\u305d\u306e\u6982\u5ff5\u3092\u30de\u30eb\u30b3\u30d5\u904e\u7a0b\u306b\u304a\u3051\u308b\u751f\u6210\u4f5c\u7528\u7d20\u306e\u30b9\u30da\u30af\u30c8\u30eb\u89e3\u6790\u3078\u5fdc\u7528\u3057\u305f\u3002
                                                                              \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                              1991\u5e7403\u670816\u65e5<\/p>\n

                                                                              <\/a><\/p>\n

                                                                              \u7b2c69\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                              \n
                                                                              \u65e5\u6642:<\/dt>\n
                                                                              2\u670816\u65e5(\u571f) 14:00\u301c17:00<\/dd>\n
                                                                              \u5834\u6240:<\/dt>\n
                                                                              \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                              \u51fa\u5e2d:<\/dt>\n
                                                                              27\u540d<\/dd>\n
                                                                              \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                              \n
                                                                                \n
                                                                              1. \u300c\u30de\u30eb\u30c1\u30ea\u30f3\u30af\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u9806\u5e8f\u5f85\u3061\u306b\u3064\u3044\u3066\u300d
                                                                                \n\u5409\u7530 \u88d5(\u6cd5\u653f\u5927\u5b66\u5de5\u5b66\u90e8)
                                                                                \n
                                                                                \n\u30d1\u30b1\u30c3\u30c8\u7db2\u306e\u30de\u30eb\u30c1\u30ea\u30f3\u30af\u306b\u73fe\u308c\u308b\u30d1\u30b1\u30c3\u30c8\u9806\u5e8f\u9006\u8ee2\u73fe\u8c61\u3092\u7d39\u4ecb\u3057\u3001\u9045\u5ef6\u6642\u9593\u3092\u89e3\u6790\u3057\u305f\u3002
                                                                                \n<\/quote><\/li>\n
                                                                              2. \u300c\u52d5\u7684\u8ca0\u8377\u5206\u6563\u306b\u3088\u308b\u4e26\u5217\u5316\u306e\u52b9\u7387\u306e\u78ba\u7387\u8ad6\u7684\u89e3\u6790\u300d
                                                                                \n\u6728\u6751 \u5b8f\u4e00\u3001\u5e02\u5409 \u4f38\u884c(\u65b0\u4e16\u4ee3\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u6280\u8853\u958b\u767a\u6a5f\u69cb\u3001ICOT)
                                                                                \n
                                                                                \n\u52d5\u7684\u8ca0\u8377\u5206\u6563\u30b7\u30b9\u30c6\u30e0\u3092\u8907\u6570\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217\u306b\u3088\u308a\u5b9a\u5f0f\u5316\u3057\u305f\u3002
                                                                                \n<\/quote><\/li>\n
                                                                              3. \u300c\u300eORSA\/TIMS Special Interest Conference on Applied Probability in the Engineering, Informational and Natural Sciences\u300d\u300f(Monterey, California)\u51fa\u5e2d\u5831\u544a\u300d
                                                                                \n\u6728\u5cf6 \u6b63\u660e(\u7b51\u6ce2\u5927\u5b66\u7d4c\u55b6\u30b7\u30b9\u30c6\u30e0\u79d1\u5b66)
                                                                                \n
                                                                                \n\u6a19\u8a18\u4f1a\u8b70\u306e\u767a\u8868\u8ad6\u6587\u306e\u3046\u3061\u306e\u3044\u304f\u3064\u304b\u3092\u7d39\u4ecb\u3057\u305f\u3002
                                                                                \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                1991\u5e7402\u670816\u65e5<\/p>\n

                                                                                <\/a><\/p>\n

                                                                                \u7b2c68\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                \n
                                                                                \u65e5\u6642:<\/dt>\n
                                                                                12\u670822\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                \u5834\u6240:<\/dt>\n
                                                                                \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                \u51fa\u5e2d:<\/dt>\n
                                                                                29\u540d<\/dd>\n
                                                                                \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                \n
                                                                                  \n
                                                                                1. \u300cEW (GI\/G\/S)\u306e\u5185\u633f\u8fd1\u4f3c\u306b\u3064\u3044\u3066\u300d
                                                                                  \n\u6728\u6751 \u4fca\u4e00(\u5317\u6d77\u9053\u5927\u5b66\u7d4c\u6e08\u5b66\u90e8)
                                                                                  \n
                                                                                  \n\u5230\u7740\u304a\u3088\u3073\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u5206\u5e03\u306e\u5909\u52d5\u4fc2\u6570\u3092\u30d1\u30e9\u30e1\u30fc\u30bf\u3068\u3057\u3001M\/M\/S\u3001M\/D\/S\u306e\u7d50\u679c\u3092\u7528\u3044\u305f\u5e73\u5747\u5f85\u3061\u6642\u9593\u306e\u8fd1\u4f3c\u5f0f\u306e\u6539\u826f\u306b\u3064\u3044\u3066\u8a00\u53ca\u3057\u305f\u3002
                                                                                  \n<\/quote><\/li>\n
                                                                                2. \u300cCVS\u99c5\u30e2\u30c7\u30eb\u300d
                                                                                  \n\u4e2d\u7530 \u52dd\u5553\u3001\u7c73\u5c71 \u5fe0r\u30bf(\u7389\u5ddd\u5927\u5b66\u5de5\u5b66\u90e8)
                                                                                  \n
                                                                                  \nCVS\u99c5\u30b7\u30b9\u30c6\u30e0\u3092\u62bd\u8c61\u5316\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u3001\u305d\u306e\u63a8\u79fb\u78ba\u7387\u884c\u5217\u3092\u7cfb\u7d71\u7684\u306b\u5c0e\u51fa\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u305f\u3002
                                                                                  \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                  1990\u5e7412\u670822\u65e5<\/p>\n

                                                                                  <\/a><\/p>\n

                                                                                  \u7b2c67\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                  \n
                                                                                  \u65e5\u6642:<\/dt>\n
                                                                                  11\u670817\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                  \u5834\u6240:<\/dt>\n
                                                                                  \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                  \u51fa\u5e2d:<\/dt>\n
                                                                                  24\u540d<\/dd>\n
                                                                                  \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                  \n
                                                                                    \n
                                                                                  1. \u300cA Hypothetical Gap Acceptance Model\u300d
                                                                                    \n\u5965\u5c71 \u80b2\u82f1(\u9ce5\u53d6\u5927\u5b66\u5de5\u5b66\u90e8)
                                                                                    \n
                                                                                    \n\u9053\u8def\u4e0a\u306e\u8eca\u9593\u8ddd\u96e2\u3092\u5229\u7528\u3057\u3066\u6b69\u884c\u8005\u304c\u6a2a\u65ad\u3059\u308b\u30e2\u30c7\u30eb\u3092\u53d6\u308a\u6271\u3044\u3001\u6b69\u884c\u8005\u306e\u5f85\u3061\u6642\u9593\u5206\u5e03\u3092\u8003\u5bdf\u3057\u305f\u3002
                                                                                    \n<\/quote><\/li>\n
                                                                                  2. \u300c\u5f85\u3061\u884c\u5217\u7db2\u306e\u78ba\u7387\u7684\u306a\u6700\u9069\u5316\u300d
                                                                                    \n\u7c73\u7530 \u6e05(\u6771\u829d\u3001\u30b7\u30b9\u30c6\u30e0\u30fb\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u6280\u8853\u7814\u7a76\u6240)
                                                                                    \n
                                                                                    \nQNA (Queueing Network Analyzer)\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30c6\u30c3\u30c9\u30fb\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u6cd5\u3092\u4f75\u7528\u3057\u3066LSI\u88fd\u9020\u5de5\u7a0b\u306e\u89e3\u6790\u3092\u884c\u306a\u3063\u305f\u3002
                                                                                    \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                    1990\u5e7411\u670817\u65e5<\/p>\n

                                                                                    <\/a><\/p>\n

                                                                                    \u7b2c66\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                    \n
                                                                                    \u65e5\u6642:<\/dt>\n
                                                                                    10\u670820\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                    \u5834\u6240:<\/dt>\n
                                                                                    \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                    \u51fa\u5e2d:<\/dt>\n
                                                                                    24\u540d<\/dd>\n
                                                                                    \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                    \n
                                                                                      \n
                                                                                    1. \u300cTandem Queue\u306eCross Aggregation\u8fd1\u4f3c\u300d
                                                                                      \n\u5b8b \u5b87(\u6771\u5317\u5927\u5b66\u7d4c\u6e08\u5b66\u90e8)\u3001\u9ad8\u6a4b\u5e78\u96c4(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u7406\u5b66\u90e8)
                                                                                      \n
                                                                                      \n\u6709\u9650\u30d0\u30c3\u30d5\u30a1\u3092\u3082\u3064\u30de\u30eb\u30b3\u30d5\u578b\u76f4\u5217\u5f85\u3061\u884c\u5217\u306b\u5bfe\u3059\u308b\u4e00\u822c\u7684\u306a\u8fd1\u4f3c\u624b\u6cd5\u3092\u63d0\u6848\u3057\u3001Kanban\u30b7\u30b9\u30c6\u30e0\u306b\u5fdc\u7528\u3057\u305f\u3002
                                                                                      \n<\/quote><\/li>\n
                                                                                    2. \u300cApplication of the lossy and lossless periods to the evaluation of performance of ATM systems\u300d
                                                                                      \nFrank M. Brochin(NTT\u4ea4\u63db\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240)
                                                                                      \n
                                                                                      \nATM\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u591a\u91cd\u5316\u88c5\u7f6e\u306e\u30e2\u30c7\u30eb\u5316\u3068\u89e3\u6790\u3092\u53d6\u308a\u6271\u3063\u305f\u3002\u6a19\u8a18\u306e\u6027\u80fd\u8a55\u4fa1\u5c3a\u5ea6\u3092\u63d0\u6848\u3057\u305f\u3002
                                                                                      \n<\/quote><\/li>\n
                                                                                    3. \u300cIFORS’90\u8996\u5bdf\u56e3\u5831\u544a\u300d
                                                                                      \n\u7d00 \u4e00\u8aa0(\u65e5\u672c\u96fb\u6c17C&C\u60c5\u5831\u7814\u7a76\u6240)
                                                                                      \n
                                                                                      \nIFORS’90\u3001CECOIA2\u306e\u51fa\u5e2d\u5831\u544a\u3092\u884c\u306a\u3063\u305f\u3002
                                                                                      \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                      1990\u5e7410\u670820\u65e5<\/p>\n

                                                                                      <\/a><\/p>\n

                                                                                      \u7b2c65\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                      \n
                                                                                      \u65e5\u6642:<\/dt>\n
                                                                                      8\u670824\u65e5(\u91d1) 14:00\u301c16:30<\/dd>\n
                                                                                      \u5834\u6240:<\/dt>\n
                                                                                      \u65e5\u672cIBM\u6771\u4eac\u57fa\u790e\u7814\u7a76\u6240(\u56fd\u969b\u822a\u696d\u4e09\u756a\u753aK\u30d3\u30eb5\u968e\u4f1a\u8b70\u5ba4)<\/dd>\n
                                                                                      \u51fa\u5e2d:<\/dt>\n
                                                                                      28\u540d<\/dd>\n
                                                                                      \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                      \n
                                                                                        \n
                                                                                      1. \u300cQueueing networks: Solutions and applications.\u300d
                                                                                        \nEdmund de Souza e Silva(Federal University of Rio de Janeiro)
                                                                                        \n
                                                                                        \n\u8a08\u7b97\u6a5f\u7db2\u30fb\u901a\u4fe1\u7db2\u306e\u8a55\u4fa1\u306b\u95a2\u9023\u3057\u305f\u5f85\u3061\u884c\u5217\u7db2\u7406\u8ad6\u306e\u6982\u8981\u3068\u5c55\u671b\u3092\u4e0e\u3048\u305f\u3002
                                                                                        \n<\/quote><\/li>\n
                                                                                      2. \u300cStability of Queues.\u300d
                                                                                        \nKarl Sigman(Columbia University)
                                                                                        \n
                                                                                        \n\u5230\u7740\u9593\u9694\u3001\u30b5\u30fc\u30d3\u30b9\u6642\u9593\u306bi.i.d.\u3060\u3051\u3092\u4eee\u5b9a\u3057\u305fJackson\u578b\u5f85\u3061\u884c\u5217\u7db2\u306b\u3064\u3044\u3066\u3001\u5404\u7a93\u53e3\u306e\u8ca0\u8377\u304c1\u3088\u308a\u5c0f\u306a\u3089\u3070\u5b89\u5b9a\u6027\u304c\u6210\u308a\u7acb\u3061\u3001\u76f4\u5217\u578b\u7b49\u7279\u6b8a\u306a\u5834\u5408\u306b\u306fpositive recurrent\u3068\u306a\u308b\u3053\u3068\u3092\u793a\u3057\u305f\u3002
                                                                                        \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                        1990\u5e7408\u670824\u65e5<\/p>\n

                                                                                        <\/a><\/p>\n

                                                                                        \u7b2c64\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                        \n
                                                                                        \u65e5\u6642:<\/dt>\n
                                                                                        7\u670821\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                        \u5834\u6240:<\/dt>\n
                                                                                        \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                        \u51fa\u5e2d:<\/dt>\n
                                                                                        25\u540d<\/dd>\n
                                                                                        \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                        \n
                                                                                          \n
                                                                                        1. \u300cMarkov process whose steady state distribution is matrix-exponential with an application to the semi-Markovian queue\u300d
                                                                                          \nB. Senguputa(NEC Research Inst.)
                                                                                          \n
                                                                                          \n\u3042\u308b\u7a2e\u306esemi-Markov\u904e\u7a0b\u3092\u8003\u5bdf\u3057\u3001\u5f85\u3061\u884c\u5217\u3078\u306e\u5fdc\u7528\u3092\u4e0e\u3048\u305f\u3002
                                                                                          \n<\/quote><\/li>\n
                                                                                        2. \u300cWhen arrivals see time averages\u300d
                                                                                          \nB. Melamed(NEC Research Inst.), W. Whitt(AT&T Bell Labs.)
                                                                                          \n
                                                                                          \n\u6642\u9593t\u307e\u3067\u306e\u5e73\u5747\u5230\u7740\u6570\u306b\u95a2\u3059\u308bASTA\u306b\u3064\u3044\u3066\u8a00\u53ca\u3057\u305f\u3002
                                                                                          \n<\/quote><\/li>\n
                                                                                        3. \u300cGI\/G\/S(N)\u306e\u640d\u5931\u78ba\u7387\u306b\u3064\u3044\u3066\u300d
                                                                                          \n\u9006\u702c\u5ddd\u6d69\u5b5d(\u7b51\u6ce2\u5927)\u3001\u5bae\u6ca2\u653f\u6e05(\u6771\u7406\u5927)\u3001\u5c71\u5d0e\u6e90\u6cbb(\u90fd\u7acb\u79d1\u6280\u5927)
                                                                                          \n
                                                                                          \n\u5217\u9577\u306b\u5236\u9650\u306e\u306a\u3044\u7cfb\u306e\u5b9a\u5e38\u78ba\u7387\u3092\u7528\u3044\u3066\u8fd1\u4f3c\u5f0f\u3092\u5f97\u305f\u3002
                                                                                          \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                          1990\u5e7407\u670821\u65e5<\/p>\n

                                                                                          <\/a><\/p>\n

                                                                                          \u7b2c63\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                          \n
                                                                                          \u65e5\u6642:<\/dt>\n
                                                                                          6\u670823\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                          \u5834\u6240:<\/dt>\n
                                                                                          \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                          \u51fa\u5e2d:<\/dt>\n
                                                                                          29\u540d<\/dd>\n
                                                                                          \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                          \n
                                                                                            \n
                                                                                          1. \u300cSimple models of a queue subject to breakdowns.\u300d
                                                                                            \nR. W. Wolff(Univ. of California, Barkeley)
                                                                                            \n
                                                                                            \n\u30b5\u30fc\u30d0\u30fc\u304c\u6545\u969c\u3068\u6b63\u5e38\u306e2\u72b6\u614b\u3092\u4ea4\u4e92\u306b\u7e70\u308a\u8fd4\u3059\u7cfb\u306b\u5bfe\u3057\u3001\u5230\u7740\u9593\u9694\u306a\u3069\u304c\u3053\u306e2\u72b6\u614b\u306e\u7d99\u7d9a\u6642\u9593\u306b\u6bd4\u3079\u5c0f\u3067\u3042\u308b\u3068\u3044\u3046\u524d\u63d0\u306e\u3082\u3068\u3067\u306e\u8fd1\u4f3c\u89e3\u6cd5\u3092\u4e0e\u3048\u305f\u3002
                                                                                            \n<\/quote><\/li>\n
                                                                                          2. \u300cOn the fundamental period of a queue with phase-type Markov renewal arrivals.\u300d
                                                                                            \n\u753a\u539f\u6587\u660e(NTT\u901a\u4fe1\u7db2\u7dcf\u5408\u7814\u7a76\u6240)
                                                                                            \n
                                                                                            \nPH-MRP\u578b\u306e\u5230\u7740\u904e\u7a0b\u3092\u6301\u3064G\/G\/1\u306b\u3064\u3044\u3066\u3001busy period\u3092\u4e00\u822c\u5316\u3057\u305ffundamental period\u306b\u3064\u3044\u3066\u8868\u73fe\u5f0f\u3092\u5f97\u308b\u7c21\u6f54\u306a\u65b9\u6cd5\u3092\u793a\u3057\u305f\u3002
                                                                                            \n<\/quote><\/li>\n
                                                                                          3. \u300c\u7b2c29\u56de ORSA\/TIMS(Las Vegas)\u51fa\u5e2d\u5831\u544a\u300d
                                                                                            \n\u9ad8\u6a4b\u656c\u9686(NTT\u4ea4\u63db\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u6240)
                                                                                            \n
                                                                                            \n\u767a\u8868\u8ad6\u6587\u306e\u3046\u3061\u3044\u304f\u3064\u304b\u3092\u7c21\u5358\u306b\u7d39\u4ecb\u3057\u305f\u3002
                                                                                            \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                            1990\u5e7406\u670823\u65e5<\/p>\n

                                                                                            <\/a><\/p>\n

                                                                                            \u7b2c62\u56de\u90e8\u4f1a\u5831\u544a<\/h3>\n
                                                                                            \n
                                                                                            \u65e5\u6642:<\/dt>\n
                                                                                            4\u670821\u65e5(\u571f) 14:00\u301c16:30<\/dd>\n
                                                                                            \u5834\u6240:<\/dt>\n
                                                                                            \u6771\u4eac\u5de5\u696d\u5927\u5b66(\u5927\u5ca1\u5c71)\u53574\u53f7\u99286\u968e677\u53f7\u5ba4<\/dd>\n
                                                                                            \u51fa\u5e2d:<\/dt>\n
                                                                                            29\u540d<\/dd>\n
                                                                                            \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09:<\/dt>\n
                                                                                            \n
                                                                                              \n
                                                                                            1. \u300c\u6d41\u4f53\u8fd1\u4f3c\u306b\u3088\u308b\u901a\u4fe1\u7db2\u306e\u904e\u6e21\u89e3\u6790\u300d
                                                                                              \n\u592a\u7530\u6b63\u5b5d(\u65e5\u7acb\u88fd\u4f5c\u6240)
                                                                                              \n
                                                                                              \n\u5f85\u3061\u884c\u5217\u306e\u671f\u5f85\u5024\u3092\u6642\u9593\u306e\u95a2\u6570\u3068\u3057\u3066\u3068\u3089\u3048\u3001\u5165\u51fa\u529b\u306e\u5909\u5316\u304b\u3089\u5f97\u305f\u5fae\u5206\u65b9\u7a0b\u5f0f\u3092\u6e80\u305f\u3059\u3082\u306e\u3068\u3057\u3066\u3001\u901a\u4fe1\u7db2\u306e\u904e\u6e21\u89e3\u6790\u3092\u884c\u306a\u3063\u305f\u3002
                                                                                              \n<\/quote><\/li>\n
                                                                                            2. \u300c\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u9ad8\u901f\u5316\u6280\u6cd5\u300d
                                                                                              \n\u6b66\u751f\u64c1\u6e56(NTT\u7814\u7a76\u6240)
                                                                                              \n
                                                                                              \n\u6642\u9593\u8ffd\u8de1\u6cd5\u306b\u304a\u3044\u3066\u3001\u6307\u6570\u5206\u5e03\u306b\u3057\u305f\u304c\u3046\u78ba\u7387\u5909\u6570\u306b\u5bfe\u3057\u3066\u306f\u7121\u8a18\u61b6\u6027\u3092\u5229\u7528\u3059\u308b\u30c8\u30e9\u30c3\u30ad\u30f3\u30b0\u6cd5\u3092\u63d0\u6848\u3057\u3001\u305d\u306e\u6709\u52b9\u6027\u3092\u691c\u8a0e\u3057\u305f\u3002
                                                                                              \n<\/quote><\/li>\n
                                                                                            3. \u300c\u5f85\u3061\u884c\u5217\u306b\u304a\u3051\u308b\u5b89\u5b9a\u6027\u7814\u7a76\u8ad6\u6587\u53f2\u300d
                                                                                              \n\u4e2d\u585a\u5229\u76f4(\u6771\u4eac\u90fd\u7acb\u5927\u5b66)
                                                                                              \n
                                                                                              \n\u904e\u53bb\u306e\u4efb\u610f\u6642\u70b9\u3067\u306e\u72b6\u614b\u3068\u305d\u306e\u5f8c\u306e\u5165\u529b\u904e\u7a0b\u304b\u3089\u73fe\u5728\u306e\u72b6\u614b\u304c\u6c7a\u5b9a\u3055\u308c\u308b\u3068\u3044\u3046\u5f85\u3061\u884c\u5217\u306e\u8868\u73fe\u5f0f\u306b\u3064\u3044\u3066\u3001\u767a\u5c55\u306e\u7d4c\u904e\u304a\u3088\u3073\u4eca\u5f8c\u306e\u5c55\u671b\u3092\u4e0e\u3048\u305f\u3002
                                                                                              \n<\/quote><\/li>\n<\/ol>\n<\/dd>\n<\/dl>\n

                                                                                              1990\u5e7404\u670821\u65e5<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                                              \u7b2c107\u56de\u90e8\u4f1a\u5831\u544a \u65e5\u6642: 2\u670818\u65e5\uff08\u571f\uff0914:00\u301c16:30 \u5834\u6240: \u6771\u4eac\u5de5\u696d\u5927\u5b66\u672c\u99281-94\u53f7\u5ba4 \u51fa\u5e2d: 20\u540d \u30c6\u30fc\u30de\u3068\u8b1b\u5e2b\uff08\uff0a\u306f\u8b1b\u6f14\u8005\uff09: \u300c\u5fdc\u7b54\u6027\u80fd\u306b\u5bfe\u3059\u308b\u8af8\u6700\u9069\u5316\u76ee\u6a19\u3068\u305d\u308c\u3089\u306e\u9593\u306e\u7570\u69d8\u306b\u898b\u3048\u308b\u95a2\u4fc2\u300d \u4e80\u7530 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":12,"menu_order":11,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_mc_calendar":[]},"_links":{"self":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/103"}],"collection":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/comments?post=103"}],"version-history":[{"count":2,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/103\/revisions"}],"predecessor-version":[{"id":130,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/103\/revisions\/130"}],"up":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/12"}],"wp:attachment":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/media?parent=103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}