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2024年度第１回海洋AI公開セミナー（資料）
12月16日（月）に、卓越大学院プログラムの成果として、海洋大の海洋×AIの最新事例について、海洋AIコンソーシアムと連携した成果の発表や学生の研究事例紹介を通した2024年度第１回海洋ＡＩ公開セミナーを開催しました。第1回目は、海洋AIコンソーシアム機関であるデンマーク工科大学から、Ulrik Dam Nielsen准教授をお招きして、海洋×AIの海外先進事例を紹介しました。
講演：「Uncertainty-associated directional wave spectrum estimation from wave-induced ship responses using Machine Learning methods」
Associate professor Ulrik Dam Nielsen (Technical University of Denmark)
This study presents an assessment of three methods used for sea state estimation via the wave buoy analogy, where measured ship responses are processed. The three methods all rely on Machine Learning exclusively, but they have different output; Method 1 provides bulk parameters, Method 2 yields a point wave spectrum and The wave direction, while Method 3 gives the directional wave spectrum in nonparametric form. The assessment is made using full-scale data from an in-service container ship in cross-Atlantic service. Training and testing of the methods are made using data from a wave radar, and the three methods perform well. An uncertainty measure, equivalently, a trust level indicator, based on the variation between the postprocessed outputs of the methods is proposed, and this facilitates determination of estimates with small errors; without knowing the ground truth.
The methods and results in this study were derived via a joint work between Technical University of
Denmark and TUMSAT with support by DNV.
講演資料 ： ML estimation of direc. wave spectra (Nielsen et al. 2024).pdf
