{"id":851,"date":"2026-01-26T11:13:55","date_gmt":"2026-01-26T02:13:55","guid":{"rendered":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/?p=851"},"modified":"2026-01-26T11:13:55","modified_gmt":"2026-01-26T02:13:55","slug":"%e3%80%90%e3%82%a4%e3%83%b3%e3%82%bf%e3%83%bc%e3%83%b3%e3%82%b7%e3%83%83%e3%83%97%e3%80%91%e6%9d%b1%e4%ba%ac%e6%b5%b7%e6%b4%8b%e5%a4%a7%e5%ad%a6-%e3%82%bf%e3%83%8a%e3%83%9d%e3%83%b3%e3%81%95%e3%82%93","status":"publish","type":"post","link":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/news-topics\/20260126851\/","title":{"rendered":"\u3010\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u3011\u6771\u4eac\u6d77\u6d0b\u5927\u5b66 \u30bf\u30ca\u30dd\u30f3\u3055\u3093\u306e\u4f53\u9a13\u8ac7"},"content":{"rendered":"\n

\u306f\u3058\u3081\u306b<\/strong><\/h2>\n\n\n\n

BEMAC\u6771\u4eac\u30c7\u30fc\u30bf\u30e9\u30dc\uff08\u4ee5\u4e0b\u3001\u300c\u30c7\u30fc\u30bf\u30e9\u30dc\u300d\uff09\u306f\u3001AI\u6280\u8853\u3092\u6d3b\u7528\u3057\u3001\u6d77\u4e8b\u696d\u754c\u306e\u8ab2\u984c\u89e3\u6c7a\u306b\u5411\u3051\u305f\u7814\u7a76\u958b\u767a\u3084\u30c7\u30fc\u30bf\u5206\u6790\u306b\u65e5\u3005\u53d6\u308a\u7d44\u3093\u3067\u3044\u307e\u3059\u3002\u4eca\u56de\u306f\u3001\u6771\u4eac\u6d77\u6d0b\u5927\u5b66\u304b\u3089\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u3068\u3057\u3066\u53c2\u52a0\u3044\u305f\u3060\u3044\u305f\u30bf\u30ca\u30dd\u30f3\u3055\u3093\u306b\u3001\u5b9f\u969b\u306e\u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u306b\u53d6\u308a\u7d44\u3093\u3067\u3082\u3089\u3063\u305f\u4f53\u9a13\u8ac7\u3092\u8a9e\u3063\u3066\u3082\u3089\u3044\u307e\u3057\u305f\u3002
\u203b\u6771\u4eac\u6d77\u6d0b\u5927\u5b66 \u6d77\u6d0bAI\u30b3\u30f3\u30bd\u30fc\u30b7\u30a2\u30e0<\/a><\/p>\n\n\n\n

Self-introduction <\/strong><\/h2>\n\n\n\n

My name is Thanapol Kidprasert, and I am a second-year Master\u2019s student at the Tokyo University of Marine Science and Technology. My research focuses on improving ship maintenance processes, particularly related to propulsion equipment. I work on propeller fault detection through hydroacoustic signals, utilizing Convolutional Neural Networks (CNNs) and Audio Spectrogram Transformers (AST)for real-time fault detection and classification. I am highly interested in applying advanced deep learning models to practical marine engineering problems.<\/p>\n\n\n\n

\u81ea\u5df1\u7d39\u4ecb <\/strong>(\u65e5\u672c\u8a9e\u8a33)<\/h2>\n\n\n\n

\u30bf\u30ca\u30dd\u30f3\u30fb\u30ad\u30c3\u30c9\u30d7\u30e9\u30b5\u30fc\u30c8\u3068\u7533\u3057\u307e\u3059\u3002\u73fe\u5728\u3001\u6771\u4eac\u6d77\u6d0b\u5927\u5b66\u5927\u5b66\u9662\u4fee\u58eb\u8ab2\u7a0b2\u5e74\u306b\u5728\u7c4d\u3057\u3066\u3044\u307e\u3059\u3002\u63a8\u9032\u6a5f\u5668\u306b\u95a2\u9023\u3059\u308b\u8239\u8236\u306e\u4fdd\u5b88\u30d7\u30ed\u30bb\u30b9\u6539\u5584\u3092\u30c6\u30fc\u30de\u306b\u7814\u7a76\u3092\u884c\u3063\u3066\u304a\u308a\u3001\u7279\u306b\u30d7\u30ed\u30da\u30e9\u306e\u6545\u969c\u3092\u6c34\u4e2d\u97f3\u97ff\u4fe1\u53f7\u304b\u3089\u691c\u51fa\u3059\u308b\u7814\u7a76\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u307e\u3059\u3002\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u3084Audio Spectrogram Transformer\uff08AST\uff09\u3092\u7528\u3044\u3066\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u306e\u6545\u969c\u691c\u51fa\u304a\u3088\u3073\u5206\u985e\u3092\u884c\u3046\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002\u9ad8\u5ea6\u306a\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b9f\u969b\u306e\u6d77\u4e8b\u5de5\u5b66\u5206\u91ce\u306e\u8ab2\u984c\u306b\u5fdc\u7528\u3059\u308b\u3053\u3068\u306b\u5f37\u3044\u95a2\u5fc3\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u30bf\u30ca\u30dd\u30f3\u3055\u3093\uff08BEMAC\u6771\u4eac\u652f\u793e\u306b\u3066\uff09<\/strong><\/p>\n\n\n\n

Internship Overview<\/strong><\/h2>\n\n\n\n

I participated in an internship at BEMAC Corporation through the Marine AI Matching Week event organized by the WISE Program for the Development of Professionals in Marine AI.The internship period ran from mid October 2025 to December 2025, for a total duration of approximately two months.<\/p>\n\n\n\n

During the internship, I worked in an MLOps (Machine Learning Operations) role, where my main objective was to develop a fully functional dashboard that integrates a data pipeline, automated model retraining, and real-time prediction based on ship sensor data. This internship provided a valuable opportunity to expand my technical skill set and gain hands-on experience.<\/p>\n\n\n\n

\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7<\/strong>\u306e\u6982\u8981<\/strong>(\u65e5\u672c\u8a9e\u8a33)<\/h2>\n\n\n\n

\u79c1\u306f\u3001\u6d77\u6d0bAI\u4eba\u6750\u80b2\u6210\u4e8b\u696d\uff08WISE Program for the Development of Professionals in Marine AI\uff09\u304c\u4e3b\u50ac\u3059\u308b\u300cMarine AI Matching Week\u300d\u3092\u901a\u3058\u3066\u3001BEMAC\u682a\u5f0f\u4f1a\u793e\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u306b\u53c2\u52a0\u3057\u307e\u3057\u305f\u3002\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u671f\u9593\u306f2025\u5e7410\u6708\u4e2d\u65ec\u304b\u308912\u6708\u307e\u3067\u3067\u3001\u7d042\u304b\u6708\u9593\u3067\u3057\u305f\u3002<\/p>\n\n\n\n

\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u3067\u306f\u3001MLOps\uff08Machine Learning Operations\uff09\u62c5\u5f53\u3068\u3057\u3066\u3001\u30c7\u30fc\u30bf\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u3001\u81ea\u52d5\u30e2\u30c7\u30eb\u518d\u5b66\u7fd2\u3001\u304a\u3088\u3073\u8239\u8236\u30bb\u30f3\u30b5\u30fc\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u305f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u4e88\u6e2c\u3092\u7d71\u5408\u3057\u305f\u3001\u5b8c\u5168\u306b\u6a5f\u80fd\u3059\u308b\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306e\u958b\u767a\u3092\u4e3b\u306a\u76ee\u7684\u3068\u3057\u3066\u53d6\u308a\u7d44\u307f\u307e\u3057\u305f\u3002\u3053\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u306f\u3001\u6280\u8853\u7684\u30b9\u30ad\u30eb\u3092\u62e1\u5f35\u3057\u3001\u5b9f\u8df5\u7684\u306a\u7d4c\u9a13\u3092\u7a4d\u3080\u8cb4\u91cd\u306a\u6a5f\u4f1a\u3068\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

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

Internship duties<\/h2>\n\n\n\n

My responsibilities during the internship included the following.<\/p>\n\n\n\n

\u2460Preparing and preprocessing data for machine learning model development.
\u2461Building a web-based dashboard using Streamlit, enabling interactive data visualization and model interaction for end users.
\u2462Implementing system features such as parameter adjustment, on-demand model retraining.<\/p>\n\n\n\n

\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u3067\u306e\u696d\u52d9<\/strong>(\u65e5\u672c\u8a9e\u8a33)<\/h2>\n\n\n\n

\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u671f\u9593\u4e2d\u306e\u4e3b\u306a\u62c5\u5f53\u696d\u52d9\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n

\u2460\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u958b\u767a\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u6e96\u5099\u304a\u3088\u3073\u524d\u51e6\u7406
\u2461Streamlit \u3092\u7528\u3044\u305f Web \u30d9\u30fc\u30b9\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306e\u69cb\u7bc9
\uff08\u30e6\u30fc\u30b6\u30fc\u306b\u3088\u308b\u5bfe\u8a71\u7684\u306a\u30c7\u30fc\u30bf\u53ef\u8996\u5316\u3068\u30e2\u30c7\u30eb\u64cd\u4f5c\u3092\u53ef\u80fd\u306b\u3059\u308b\u6a5f\u80fd\u306e\u5b9f\u88c5\uff09
\u2462\u30d1\u30e9\u30e1\u30fc\u30bf\u8abf\u6574\u6a5f\u80fd\u3084\u3001\u30aa\u30f3\u30c7\u30de\u30f3\u30c9\u5b9f\u884c\u306b\u3088\u308b\u30e2\u30c7\u30eb\u518d\u5b66\u7fd2\u6a5f\u80fd\u306e\u5b9f\u88c5<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Impressions from the Internship<\/strong><\/h2>\n\n\n\n

This internship was a meaningful experience that allowed me to acquire new technical competencies. I received valuable guidance from the Tokyo Data Lab team, whose mentorship greatly supported my learning process. BEMAC also provided the flexibility to approach the project in my own workflow style, which enhanced my ability to design and execute the project independently.<\/p>\n\n\n\n

Key experiences included designing a well-structured development environment, developing a Streamlit dashboard, creating a data pipeline, and implementing model retraining and inference mechanisms. Overall, this internship strengthened both my technical and practical understanding of machine learning.<\/p>\n\n\n\n

\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u306e\u611f\u60f3<\/strong>(\u65e5\u672c\u8a9e\u8a33)<\/h2>\n\n\n\n

\u3053\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u306f\u3001\u65b0\u305f\u306a\u6280\u8853\u7684\u80fd\u529b\u3092\u7fd2\u5f97\u3059\u308b\u3046\u3048\u3067\u975e\u5e38\u306b\u6709\u610f\u7fa9\u306a\u7d4c\u9a13\u3068\u306a\u308a\u307e\u3057\u305f\u3002\u6771\u4eac\u30c7\u30fc\u30bf\u30e9\u30dc\u306e\u30c1\u30fc\u30e0\u304b\u3089\u306f\u6709\u76ca\u306a\u6307\u5c0e\u3092\u53d7\u3051\u3001\u305d\u306e\u30e1\u30f3\u30bf\u30ea\u30f3\u30b0\u304c\u79c1\u306e\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u3092\u5927\u304d\u304f\u652f\u3048\u3066\u304f\u308c\u307e\u3057\u305f\u3002\u307e\u305f\u3001BEMAC\u304b\u3089\u306f\u3001\u81ea\u5206\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u5408\u3063\u305f\u9032\u3081\u65b9\u3067\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u53d6\u308a\u7d44\u3080\u67d4\u8edf\u6027\u304c\u4e0e\u3048\u3089\u308c\u305f\u305f\u3081\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u81ea\u5f8b\u7684\u306b\u8a2d\u8a08\u30fb\u9042\u884c\u3059\u308b\u529b\u3092\u9ad8\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u4e3b\u306a\u7d4c\u9a13\u3068\u3057\u3066\u306f\u3001\u6574\u7406\u3055\u308c\u305f\u958b\u767a\u74b0\u5883\u306e\u8a2d\u8a08\u3001Streamlit \u3092\u7528\u3044\u305f\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u306e\u958b\u767a\u3001\u30c7\u30fc\u30bf\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u69cb\u7bc9\u3001\u30e2\u30c7\u30eb\u306e\u518d\u5b66\u7fd2\u304a\u3088\u3073\u63a8\u8ad6\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u5b9f\u88c5\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002\u7dcf\u3058\u3066\u3001\u3053\u306e\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7\u306f\u6a5f\u68b0\u5b66\u7fd2\u306b\u95a2\u3059\u308b\u6280\u8853\u7684\u304a\u3088\u3073\u5b9f\u52d9\u7684\u306a\u7406\u89e3\u3092\u6df1\u3081\u308b\u3053\u3068\u306b\u3064\u306a\u304c\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u30e1\u30f3\u30bf\u30fc\u304b\u3089\u306e\u30e1\u30c3\u30bb\u30fc\u30b8<\/strong><\/h2>\n\n\n\n

\u30bf\u30ca\u30dd\u30f3\u3055\u3093\u306f\u5b66\u7fd2\u3084\u65b0\u3057\u3044\u6280\u8853\u306b\u5bfe\u3059\u308b\u597d\u5947\u5fc3\u304c\u3068\u3066\u3082\u5f37\u304f\u3001\u77ed\u671f\u9593\u3067\u591a\u304f\u306e\u3053\u3068\u3092\u5438\u53ce\u3057\u3088\u3046\u3068\u3059\u308b\u59ff\u52e2\u304c\u5927\u5909\u5370\u8c61\u7684\u3067\u3057\u305f\u3002\u521d\u65e5\u306f\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30d3\u30b8\u30cd\u30b9\u7406\u89e3\u3068\u958b\u767a\u74b0\u5883\u306e\u6574\u5099\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u305f\u3060\u304d\u30012\u65e5\u76ee\u4ee5\u964d\u306f\u30c7\u30fc\u30bf\u30e9\u30dc\u3067\u7528\u610f\u3057\u305f\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u306b\u6cbf\u3063\u3066\u8981\u4ef6\u5b9a\u7fa9\u3068\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u958b\u767a\u3092\u7740\u5b9f\u306b\u9032\u3081\u3066\u304f\u3060\u3055\u3044\u307e\u3057\u305f\u30021\u304b\u670860\u6642\u9593\u3068\u3044\u3046\u9650\u3089\u308c\u305f\u6642\u9593\u306e\u306a\u304b\u3001\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u958b\u767a\u672a\u7d4c\u9a13\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001Python\u4eee\u60f3\u74b0\u5883\u306e\u69cb\u7bc9\u3001\u30e6\u30fc\u30b6\u8996\u70b9\u3067\u306e\u30d2\u30a2\u30ea\u30f3\u30b0\u3001Streamlit\u306b\u3088\u308b\u30c0\u30c3\u30b7\u30e5\u30dc\u30fc\u30c9\u958b\u767a\u307e\u3067\u5b8c\u9042\u3055\u308c\u305f\u70b9\u306f\u975e\u5e38\u306b\u5927\u304d\u306a\u6210\u679c\u3060\u3068\u611f\u3058\u3066\u304a\u308a\u307e\u3059\u3002\u6700\u7d42\u5831\u544a\u4f1a\u3067\u3082\u3001\u6210\u679c\u3092\u6574\u7406\u3057\u305f\u8cc7\u6599\u3068\u3068\u3082\u306b\u308f\u304b\u308a\u3084\u3059\u304f\u767a\u8868\u3057\u3066\u3044\u305f\u3060\u304d\u3001\u6709\u610f\u7fa9\u306a\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u306e\u6a5f\u4f1a\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u3053\u306e\u8abf\u5b50\u3067\u3001\u7814\u7a76\u751f\u6d3b\u306b\u304a\u3044\u3066\u3082\u4e3b\u4f53\u7684\u306a\u5b66\u3073\u3068\u6311\u6226\u3092\u7d9a\u3051\u3066\u3044\u305f\u3060\u304d\u305f\u3044\u3068\u8003\u3048\u3066\u304a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u62c5\u5f53\u30e1\u30f3\u30bf\u30fc\uff1aBEMAC \u6771\u4eac\u30c7\u30fc\u30bf\u30e9\u30dc\u3000AI-S\u8ab2\u3000\u52a0\u85e4\u9054\u4e5f<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4eca\u5f8c\u306e\u30c7\u30fc\u30bf\u30e9\u30dc\u306e\u53d6\u308a\u7d44\u307f<\/strong><\/h2>\n\n\n\n

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\u306f\u3058\u3081\u306b BEMAC\u6771\u4eac\u30c7\u30fc\u30bf\u30e9\u30dc\uff08\u4ee5\u4e0b\u3001\u300c\u30c7\u30fc\u30bf\u30e9\u30dc\u300d\uff09\u306f\u3001AI\u6280\u8853\u3092\u6d3b\u7528\u3057\u3001\u6d77\u4e8b\u696d\u754c\u306e\u8ab2\u984c\u89e3\u6c7a\u306b\u5411\u3051\u305f\u7814\u7a76\u958b\u767a\u3084\u30c7\u30fc\u30bf\u5206\u6790\u306b\u65e5\u3005\u53d6\u308a\u7d44\u3093\u3067\u3044\u307e\u3059\u3002\u4eca\u56de\u306f\u3001\u6771 [Read more…]<\/a><\/p>\n","protected":false},"author":12,"featured_media":852,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[13],"tags":[17],"acf":[],"_links":{"self":[{"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/posts\/851"}],"collection":[{"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/comments?post=851"}],"version-history":[{"count":15,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/posts\/851\/revisions"}],"predecessor-version":[{"id":872,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/posts\/851\/revisions\/872"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/media\/852"}],"wp:attachment":[{"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/media?parent=851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/categories?post=851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bemac-jp.com\/tokyo-data-lab\/wp-json\/wp\/v2\/tags?post=851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}