Development of a noise prediction software NASEFA and its application in medium-to-high frequency ranges. - Hyun-Wung Kwon; Suk-Yoon Hong; Jee-Hun Song (Adv. Eng. Softw., 2015)

Weapon compartment layout design method for improving the survivability of a naval ship by considering susceptibility distribution based on radar cross section analysis. - Joon-Tae Hwang; Suk-Yoon Hong; Jee-Hun Song; Hyun-Wung Kwon (J. Comput. Des. Eng., 2022)

Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic Signals. - Sang-Jae Yeo; Woen-Sug Choi; Suk-Yoon Hong; Jee-Hun Song (Sensors, 2022)

Automated topology design to improve the susceptibility of naval ships using geometric deep learning. - Joon-Tae Hwang; Suk-Yoon Hong; Jee-Hun Song (J. Comput. Des. Eng., 2023)

Stable LBM schemes for acoustic scaling simulations under high Reynolds to Mach ratio: Introduction to the DM-TS operator. - Beom-Jin Joe; Sang-Jae Yeo; Suk-Yoon Hong; Jee-Hun Song (Comput. Math. Appl., 2023)

Structural Health Monitoring System Development for Ship Rudders. - Won-Seok Jang; Suk-Yoon Hong; Jee-Hun Song (AMC, 2024)

Incipient Fault Motion Signal Generation for Electric Motor Drives Considering Structure-Electric Interactions. - Beom-Jin Joe; Suk-Yoon Hong; Jee-Hun Song; Hyung-Taek Kim; Jee-Yeon Jeon; Sang-Jae Yeo (AMC, 2024)

Direct hydroacoustics analyses of pipe orifice using lattice Boltzmann method. - Beom-Jin Joe; Suk-Yoon Hong; Jee-Hun Song (Comput. Math. Appl., 2024)