Digital Library

1. 1. Explosive Classification and Algorithm Performance Comparison Based on IMS Data in Port Containers
   Hyung-Tak Ju, Sae-Yong Park, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 26, No. 1, pp. 35-44, Feb. 2025
   10.7472/jksii.2025.26.1.35
   Keywords: explosive classification, Time series Classification, Machine Learning
2. 2. High-Speed Maritime Object Detection Using Image Preprocessing Algorithms and Deep Learning for Collision Avoidance with Aids to Navigation
   Young-Min Kim, Ki-Won Kwon, Tae-Ho Im, Vol. 25, No. 5, pp. 131-140, Oct. 2024
   10.7472/jksii.2024.25.5.131
   Keywords: Horizontal line detection, vessel detection, Binarization, route sign, Image Segmentation
3. 3. A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System
   Ho-Seok Jeon, Hyun-hak Song, Ki-Won Kwon, Young-Jin Kim, Tae-Ho Im, Vol. 23, No. 5, pp. 47-58, Oct. 2022
   10.7472/jksii.2022.23.5.47
   Keywords: Maritime Object detection, motion detection, image processing, Aids to Navigation, Protection of Safety Accidents
4. 4. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)
   Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022
   10.7472/jksii.2022.23.4.11
   Keywords: Deep Learning, explosive classification, abnormality detection system
5. 5. Sea Fog Level Estimation based on Maritime Digital Image for Protection of Aids to Navigation
   Eun-Ji Ryu, Hyo-Chan Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 22, No. 6, pp. 25-32, Dec. 2021
   10.7472/jksii.2021.22.6.25
   Keywords: Aids to Navigation, buoy, prevention of safety accidents, Haze(Fog) level, intensity estimation, image processing