Underwater gliders allow efficient monitoring in oceanography. In contrast to buoys, which
log oceanographic data at individual depths at only one location, gliders can log data over a …

Due to a recent increase in maritime activities in South Korea, the frequency of maritime
distress is escalating and poses a significant threat to lives and property. The aim of this …

In this study, we estimated drifter tracking over seawater using machine learning and
evolutionary search techniques. The parameters used for the prediction are the hourly …

The ocean drifter is a device for observing the ocean weather by floating off the sea surface.
The data observed through the drifter is utilized in the ocean weather prediction and oil spill …

Over the past 10 years, the record of oil spills per year has decreased. However, the size
and quantity of oil tanker ships have been growing, which will increase the hazard of a spill …

The location of distress object in the maritime search area is difficult to determine, which has
brought great difficulties to the search path planning. Aiming at this problem, a search path …

Recently, many games provide data related to the users' game play, and there have been a
few studies that predict opponent move by combining machine learning methods. This study …

Learning the movement of the oil spills is a challenging task. To address this, we propose an
algorithm that extracts particles from the expansion aspect of an oil spill and tracks the …

해양 사고는 선박의 충돌이나 침몰 및 기름 유출 등의 원인으로 인명피해와 환경파괴를
초래한다. 본 논문은 이러한 사고 발생 시 그 피해를 최소화하기 위해 부유물의 움직임을 …

데이터를 수집하는 과정에서 잘못된 값으로 측정하는 오측과 데이터를 측정하지 못하는 결측이
발생할 수 있다. 오측 또는 결측이 포함된 데이터를 이용해 실험을 진행할 경우, 잘못된 결과가 …