Empirical Sensitivity Analysis of Discretization Parameters for Fault Pattern Extraction From Multivariate Time Series Data. - Sujeong Baek; Duck Young Kim (IEEE Trans. Cybern., 2017)

An In-Process BSR-Noise Detection System for Car Door Trims. - Woonsang Baek; Duck Young Kim (APMS (2), 2018)

AR/VR-Based Live Manual for User-Centric Smart Factory Services. - Minseok Kim 002; Kyeong-Beom Park; Sung Ho Choi; Jae Yeol Lee; Duck Young Kim (APMS (2), 2018)

Characterization of System Status Signals for Multivariate Time Series Discretization Based on Frequency and Amplitude Variation. - Woonsang Baek; Sujeong Baek; Duck Young Kim (Sensors, 2018)

Standard Time Estimation of Manual Tasks via Similarity Measure of Unequal Scale Time Series. - Jin Woo Park; Duck Young Kim (IEEE Trans. Hum. Mach. Syst., 2018)

In-Process Noise Detection System for Product Inspection by Using Acoustic Data. - Woonsang Baek; Duck Young Kim (APMS (2), 2019)

Abrupt variance and discernibility analyses of multi-sensor signals for fault pattern extraction. - Sujeong Baek; Duck Young Kim (Comput. Ind. Eng., 2019)

Fault Prediction via Symptom Pattern Extraction Using the Discretized State Vectors of Multisensor Signals. - Sujeong Baek; Duck Young Kim (IEEE Trans. Ind. Informatics, 2019)

An Extended Agent Communication Framework for Rapid Reconfiguration of Distributed Manufacturing Systems. - Jin Woo Park; Moonsoo Shin; Duck Young Kim (IEEE Trans. Ind. Informatics, 2019)

A modular factory testbed for the rapid reconfiguration of manufacturing systems. - Duck Young Kim; Jin Woo Park; Sujeong Baek; K.-B. Park; H.-R. Kim; J.-I. Park; H.-S. Kim; B.-B. Kim; H.-Y. Oh; Kichang Namgung; Woonsang Baek (J. Intell. Manuf., 2020)

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors. - Woonsang Baek; Duck Young Kim (Sensors, 2020)

Estimating System State through Similarity Analysis of Signal Patterns. - Kichang Namgung; Hyunsik Yoon; Sujeong Baek; Duck Young Kim (Sensors, 2020)

Software Architecture for an Active Device Driver in Reconfigurable Manufacturing Systems. - Jeongha Shin; Duck Young Kim (APMS (1), 2021)

In-Process Noise Inspection System for Product Fault Detection in a Loud Shop-Floor Environment. - Woonsang Baek; Duck Young Kim (IEEE Trans. Instrum. Meas., 2021)

Auto-calibration of robot workcells via remote laser scanning. - J. W. Park; K. H. Min; Duck Young Kim (Robotics Comput. Integr. Manuf., 2022)

Assembly Part Positioning on Transformable Pin Array Fixture by Active Pin Maximization and Joining Point Alignment. - Jin Woo Park; Jongil Park; Hansol Kim; Namhun Kim; Duck Young Kim (IEEE Trans Autom. Sci. Eng., 2022)

Adaptive Traffic Signal Control for a Mixed Autonomous and Traditional Vehicles by Agent-Based Digital Twin Simulation. - Harry Lim; Minseop Go; Taekyu Lim; Duck Young Kim (APMS (3), 2023)

Information Modeling for Data-Driven Digital Twin Simulation: Insights from Case Studies of Port Logistics and Urban Traffic Systems. - Harry Lim; Hyoung Seok Kang; Duck Young Kim (APMS (4), 2024)

Synergizing Autonomous and Traditional Vehicles: A Systematic Review of Advances and Challenges in Traffic Flow Management With Signalized Intersections. - Mitali Sarkar; Ohhyun Kweon; Byung-In Kim; Dong Gu Choi; Duck Young Kim (IEEE Trans. Intell. Transp. Syst., 2024)