Digital Library

1. 1. Common Model Federated Training-Inference Method for Accelerating Real-Virtual Synchronization of Digital Twins
   Younghwan Jeong, Taemin Hwang, Won-gi Choi, Jinyoung Lee, Seolyoung Park, Sangshin Lee, Vol. 26, No. 3, pp. 83-97, Jun. 2025
   10.7472/jksii.2025.26.3.83
   Keywords: Digital Twin, Federated learning, similarity search, object tracking, system optimization
2. 2. Design of Post-TAVR Digital Twin Navigating Platform for Predicting Patient Complications
   Min Hyuk Jung, KangYoon Lee, Vol. 25, No. 5, pp. 31-40, Oct. 2024
   10.7472/jksii.2024.25.5.31
   Keywords: Transcatheter Aortic Valve Replacement, Digital Twin, micro service architecture
3. 3. Federated learning-based client training acceleration method for personalized digital twins
   YoungHwan Jeong, Won-gi Choi, Hyoseon Kye, JeeHyeong Kim, Min-hwan Song, Sang-shin Lee, Vol. 25, No. 4, pp. 23-37, Aug. 2024
   10.7472/jksii.2024.25.4.23
   Keywords: Digital Twin, Federated learning, Vector database, training optimization, Privacy, similarity search
4. 4. Concept and Construction Direction of Marine Digital Twin considering the Characteristics of Marine Information
   Tae-seok Choi, Yun-soo Choi, Jae-myeong Kim, Hyun-Ho Song, Byeong-heon Min, Sang-min Lee, Vol. 23, No. 1, pp. 39-47, Feb. 2022
   10.7472/jksii.2022.23.1.39
   Keywords: Maritime digital twin, Marine information, Marine spatial, Marine characteristics, Data construction