{"id":521,"date":"2023-07-24T14:14:17","date_gmt":"2023-07-24T05:14:17","guid":{"rendered":"https:\/\/www.comm.tcu.ac.jp\/ubiqintelsyslab\/?page_id=521"},"modified":"2025-09-02T16:28:18","modified_gmt":"2025-09-02T07:28:18","slug":"%e7%a0%94%e7%a9%b6%e3%83%97%e3%83%ad%e3%82%b8%e3%82%a7%e3%82%af%e3%83%88","status":"publish","type":"page","link":"https:\/\/www.comm.tcu.ac.jp\/ubiqintelsyslab\/%e7%a0%94%e7%a9%b6%e3%83%97%e3%83%ad%e3%82%b8%e3%82%a7%e3%82%af%e3%83%88\/","title":{"rendered":"\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8"},"content":{"rendered":"
\n \n
English<\/span>\n <\/div><\/a><\/div><\/div>\n\n\n

\u5f53\u7814\u7a76\u5ba4\u306e\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u4e00\u89a7\u306f\u3053\u3061\u3089<\/p>\n\n\n

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\u81ea\u5f8b\u578b\u30c9\u30ed\u30fc\u30f3\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u305f\u9001\u96fb\u7dda\u70b9\u691c\u306eDX<\/strong><\/strong>
\"This<\/p>

<\/span>\n <\/div><\/div>
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\u8aac\u660e:<\/strong>\u9001\u96fb\u7dda\u30b7\u30b9\u30c6\u30e0\u3067\u306f\u3001\u9ad8\u96fb\u5727\u306e\u96fb\u529b\u3092\u52b9\u7387\u7684\u304b\u3064\u7d99\u7d9a\u7684\u306b\u4f1d\u9001\u3059\u308b\u305f\u3081\u306b\u3001\u640d\u50b7\u306e\u65e9\u671f\u767a\u898b\u3068\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u306e\u305f\u3081\u306e\u5b9a\u671f\u691c\u67fb\u304c\u5fc5\u8981\u3067\u3059\u3002\u5f93\u6765\u3001\u3053\u308c\u3089\u306e\u691c\u67fb\u306f\u30e9\u30a4\u30f3\u30af\u30ed\u30fc\u30ea\u30f3\u30b0\u3001\u691c\u67fb\u30ed\u30dc\u30c3\u30c8\u3001\u30d8\u30ea\u30b3\u30d7\u30bf\u30fc\u3092\u4f7f\u7528\u3057\u3066\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\u3002\u305f\u3060\u3057\u3001\u3053\u308c\u3089\u306e\u5f93\u6765\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306f\u6642\u9593\u304c\u304b\u304b\u308a\u3001\u9ad8\u4fa1\u3067\u3001\u30ea\u30b9\u30af\u304c\u4f34\u3044\u307e\u3059\u3002\u6700\u8fd1\u306e\u30c9\u30ed\u30fc\u30f3\u3001\u9ad8\u89e3\u50cf\u5ea6\u30ab\u30e1\u30e9\u3001\u30b7\u30f3\u30b0\u30eb\u30dc\u30fc\u30c9\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc (SBC)\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u6280\u8853\u306e\u767a\u5c55\u306b\u3088\u308a\u3001\u30c9\u30ed\u30fc\u30f3\u3092\u4f7f\u7528\u3057\u305f PTL \u691c\u67fb\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u672c\u7814\u7a76\u3067\u306f\u3001\u81ea\u5f8b\u578b\u30c9\u30ed\u30fc\u30f3\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u305f\u9001\u96fb\u7dda\u691c\u67fb\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u7814\u7a76\u52a9\u6210\u91d1:<\/strong><\/strong><\/p>\n\n\n\n

    \n
  1. 2025 NVIDIA Academic Grant Award, Title : \u201cReal-Time Power Line Inspection Using Edge-AI and Drone\u201d.<\/li>\n\n\n\n
  2. \u6771\u4eac\u90fd\u5e02\u5927\u5b66\u306e2023-2024\u5e74\u5ea6\u300c\u91cd\u70b9\u63a8\u9032\u7814\u7a76-\u82e5\u624b\u7814\u7a76\u300d2023 Tokyo City University (Priority Promotion Research \u2013 Young Researcher), Title: “Digital transformation of transmission line inspection using autonomous drones and deep learning\u201d<\/li>\n\n\n\n
  3. FY2022\u6771\u4eac\u90fd\u5e02\u5927\u5b66\u3001\u7406\u5de5\u5b66\u90e8\u30fb\u5efa\u7bc9\u90fd\u5e02\u30c7\u30b6\u30a4\u30f3\u5b66\u90e8 \u3001\u82e5\u624b\u5968\u52b1\u652f\u63f4\u4e88\u7b97\u3001FY2022 Tokyo City University, Faculty of Science and Engineering\/Faculty of Architecture and Urban Design, Young Encouragement Support Budget, Title: “Real-Time Detection of Component and Damage using Deep Learning in Autonomous Drone-Based Powerline Inspection”<\/li>\n<\/ol>\n\n\n\n

    \u95a2\u9023\u51fa\u7248\u7269:<\/strong><\/strong><\/p>\n\n\n\n

      \n
    1. Surantha N, Sutisna N. Key Considerations for\u00a0Real-Time Object Recognition on Edge Computing Devices. Applied Sciences<\/a>. 2025 Jul 4;15(13):7533.<\/li>\n\n\n\n
    2. Nico S.\u00a0Real-Time Overhead Power Line Component Detection on Edge Computing Platforms<\/a>. Computers. 2025;14(4):134.<\/li>\n\n\n\n
    3. N. Surantha<\/strong>, T. Iwao, Z. Ren and H. Morishita, “Digital Transformation on Power Transmission Line Inspection using Autonomous Drone and Deep Learning,<\/a>” 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)<\/em>, Singapore, Singapore, 2022, pp. 80-86, doi: 10.1109\/RAAI56146.2022.10092983.<\/li>\n<\/ol>\n\n<\/div><\/div>\n\n
      \n
      \n

      IoT\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u305f\u30b9\u30de\u30fc\u30c8\u30db\u30fc\u30e0\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u7ba1\u7406<\/strong><\/p>

      <\/span>\n <\/div><\/div>
      \n\n

      \u8aac\u660e:<\/strong>\u30a8\u30cd\u30eb\u30ae\u30fc\u306e\u30b3\u30b9\u30c8\u3068\u9700\u8981\u306e\u4e0a\u6607\u306b\u3088\u308a\u3001\u591a\u304f\u306e\u7d44\u7e54\u304c\u30a8\u30cd\u30eb\u30ae\u30fc\u3092\u76e3\u8996\u3001\u5236\u5fa1\u3001\u7bc0\u7d04\u3059\u308b\u9769\u65b0\u7684\u306a\u65b9\u6cd5\u3092\u6a21\u7d22\u3059\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u30a8\u30cd\u30eb\u30ae\u30fc\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0 (EMS) \u306f\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u9700\u8981\u3092\u6e80\u305f\u3057\u306a\u304c\u3089\u30b3\u30b9\u30c8\u3092\u524a\u6e1b\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002\u30e2\u30ce\u306e\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8 (IoT) \u3068\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306f\u3001\u4f4f\u5b85\u3001\u5546\u696d\u3001\u7523\u696d\u5206\u91ce\u3067\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u3092\u3088\u308a\u9069\u5207\u306b\u7ba1\u7406\u3059\u308b\u305f\u3081\u306b\u5229\u7528\u3067\u304d\u308b\u65b0\u8208\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3067\u3059\u3002\u3053\u306e\u7814\u7a76\u3067\u306f\u3001\u30b9\u30de\u30fc\u30c8 \u30db\u30fc\u30e0 \u30a8\u30cd\u30eb\u30ae\u30fc\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e IoT\u3001\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf\u3001\u30c7\u30a3\u30fc\u30d7 \u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u5229\u7528\u3092\u691c\u8a0e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

      \u95a2\u9023\u51fa\u7248\u7269:<\/strong><\/strong><\/p>\n\n\n\n

        \n
      1. Surantha, N., Motokura, K., Iwao T., \u201cShort-term electricity demand forecasting using an integrated CNN-Transformer-LSTM model\u201d, IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 2025 (Accepted for presentation)<\/li>\n\n\n\n
      2. Gibo T, Maehata M, Surantha N.\u00a0An Integrated CNN and LSTM Model for Short-Term Power Demand Forecast. IEICE Proceedings Series<\/a>. 2023 Aug 31;77(RS4-6).<\/li>\n<\/ol>\n\n<\/div><\/div>\n\n
        \n
        \n

        \u30d8\u30eb\u30b9\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u30a8\u30c3\u30b8\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u4e0a\u306e\u4eba\u5de5\u77e5\u80fd<\/strong><\/strong><\/strong><\/strong>
        \"This<\/p>

        <\/span>\n <\/div><\/div>
        \n\n

        \u8aac\u660e:<\/strong>\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3068\u30e2\u30ce\u306e\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8 (IoT) \u30b7\u30b9\u30c6\u30e0\u306f\u3001\u5927\u91cf\u306e\u5065\u5eb7\u95a2\u9023\u30c7\u30fc\u30bf\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u53ce\u96c6\u3001\u4fdd\u5b58\u3001\u5206\u6790\u3001\u8996\u899a\u5316\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\u305f\u3081\u3001\u5065\u5eb7\u76e3\u8996\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u4fa1\u5024\u304c\u3042\u308a\u307e\u3059\u3002\u5065\u5eb7\u76e3\u8996\u7528\u306e\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf \u30b7\u30b9\u30c6\u30e0\u306f\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3057\u3001\u30c7\u30fc\u30bf\u306e\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u78ba\u200b\u200b\u4fdd\u3057\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u51e6\u7406\u3068\u5206\u6790\u3092\u63d0\u4f9b\u3067\u304d\u308b\u3088\u3046\u306b\u30b9\u30b1\u30fc\u30eb\u30a2\u30c3\u30d7\u3067\u304d\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u672c\u7814\u7a76\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30fb\u6df1\u5c64\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u305f\u75be\u60a3\u3084\u5065\u5eb7\u554f\u984c\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u89e3\u6790\u3068\u65e9\u671f\u8a3a\u65ad\u3092\u884c\u3046\u30a8\u30c3\u30b8\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30c7\u30d0\u30a4\u30b9\u3092\u958b\u767a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

        \u7814\u7a76\u52a9\u6210\u91d1:<\/strong><\/strong><\/p>\n\n\n\n

          \n
        1. 2024 \u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u7acb\u77f3\u79d1\u5b66\u6280\u8853\u632f\u8208\u8ca1\u56e3 \u56fd\u969b\u4ea4\u6d41\u52a9\u6210(\u77ed\u671f\u5728\u5916\u7814\u7a76), \u30bf\u30a4\u30c8\u30eb \u201cIoT \u30d9\u30fc\u30b9\u306e\u30d8\u30eb\u30b9\u30b1\u30a2\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u8ab2\u984c\u306e\u7de9\u548c\u306b\u95a2\u3059\u308b\u7814\u7a76\u3002.\u201d<\/li>\n<\/ol>\n\n\n\n

          \u95a2\u9023\u51fa\u7248\u7269:<\/strong><\/strong><\/strong><\/p>\n\n\n\n

            \n
          1. Colin, J.; Surantha, N. Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images<\/a>. Information<\/em> 2025<\/strong>, 16<\/em>, 53. https:\/\/doi.org\/10.3390\/info16010053<\/li>\n\n\n\n
          2. Simanjuntak E, Surantha N. <\/strong>Multiple time series database on microservice architecture for IoT-based sleep monitoring system.<\/a> Journal of Big Data. 2022 Dec;9(1):1-9.<\/li>\n\n\n\n
          3. N. Surantha<\/strong>, O. K. Utomo, E. M. Lionel, I. D. Gozali and S. M. Isa, \u201cIntelligent Sleep Monitoring System based on Microservices and Event-Driven Architecture<\/a>,\u201d in IEEE Access, doi: 10.1109\/ACCESS.2022.3167637.<\/li>\n\n\n\n
          4. N. Surantha<\/strong>, T.F. Lesmana, S.M. Isa, \u201cSleep Stage Classification using Extreme Learning Machine and Particle Swarm Optimization for Healthcare Big Data<\/a>\u201d, Journal of Big Data, Springer Open, Vol. 8, No. 14, 2021. https:\/\/doi.org\/10.1186\/s40537-020-00406-6<\/li>\n\n\n\n
          5. Simanjuntak E, Surantha N. <\/strong>Multiple time series database on microservice architecture for IoT-based sleep monitoring system.<\/a> Journal of Big Data. 2022 Dec;9(1):1-9.<\/li>\n\n\n\n
          6. N. Surantha<\/strong>, O. K. Utomo, E. M. Lionel, I. D. Gozali and S. M. Isa, \u201cIntelligent Sleep Monitoring System based on Microservices and Event-Driven Architecture<\/a>,\u201d in IEEE Access, doi: 10.1109\/ACCESS.2022.3167637.<\/li>\n\n\n\n
          7. N. Surantha<\/strong>, T.F. Lesmana, S.M. Isa, \u201cSleep Stage Classification using Extreme Learning Machine and Particle Swarm Optimization for Healthcare Big Data<\/a>\u201d, Journal of Big Data, Springer Open, Vol. 8, No. 14, 2021. https:\/\/doi.org\/10.1186\/s40537-020-00406-6<\/li>\n<\/ol>\n\n<\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

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