@article{ART002826180},
author={Jung-Wook Han and Hoseok Moon},
title={Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={3},
pages={1-12},
doi={10.9708/jksci.2022.27.03.001}
TY - JOUR
AU - Jung-Wook Han
AU - Hoseok Moon
TI - Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 3
PB - The Korean Society Of Computer And Information
SP - 1
EP - 12
SN - 1598-849X
AB - In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person’s at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person’s route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.
KW - Maritime distress accident;Maritime observation buoy;Machine learning;Prediction of drowning person’s route;Surface layer current;LSTM
DO - 10.9708/jksci.2022.27.03.001
ER -
Jung-Wook Han and Hoseok Moon. (2022). Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy. Journal of The Korea Society of Computer and Information, 27(3), 1-12.
Jung-Wook Han and Hoseok Moon. 2022, "Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy", Journal of The Korea Society of Computer and Information, vol.27, no.3 pp.1-12. Available from: doi:10.9708/jksci.2022.27.03.001
Jung-Wook Han, Hoseok Moon "Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy" Journal of The Korea Society of Computer and Information 27.3 pp.1-12 (2022) : 1.
Jung-Wook Han, Hoseok Moon. Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy. 2022; 27(3), 1-12. Available from: doi:10.9708/jksci.2022.27.03.001
Jung-Wook Han and Hoseok Moon. "Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 1-12.doi: 10.9708/jksci.2022.27.03.001
Jung-Wook Han; Hoseok Moon. Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy. Journal of The Korea Society of Computer and Information, 27(3), 1-12. doi: 10.9708/jksci.2022.27.03.001
Jung-Wook Han; Hoseok Moon. Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy. Journal of The Korea Society of Computer and Information. 2022; 27(3) 1-12. doi: 10.9708/jksci.2022.27.03.001
Jung-Wook Han, Hoseok Moon. Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy. 2022; 27(3), 1-12. Available from: doi:10.9708/jksci.2022.27.03.001
Jung-Wook Han and Hoseok Moon. "Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 1-12.doi: 10.9708/jksci.2022.27.03.001
