A Low-Cost Vision-Based Monitoring of Computer Numerical Control (CNC) Machine Tools for Small and Medium-Sized Enterprises (SMEs). - Hyungjung Kim; Woo-Kyun Jung; Ingyu Choi; Sung-Hoon Ahn (Sensors, 2019)

Smart sewing work measurement system using IoT-based power monitoring device and approximation algorithm. - Woo-Kyun Jung; Hyungjung Kim; Young-Chul Park; Jae-Won Lee; Sung-Hoon Ahn (Int. J. Prod. Res., 2020)

Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines. - Woo-Kyun Jung; Young-Chul Park; Jae-Won Lee; Eun Suk Suh (J. Comput. Inf. Sci. Eng., 2021)

Broken stitch detection method for sewing operation using CNN feature map and image-processing techniques. - Hyungjung Kim; Woo-Kyun Jung; Young-Chul Park; Jae-Won Lee; Sung-Hoon Ahn (Expert Syst. Appl., 2022)

Broken stitch detection system for industrial sewing machines using HSV color space and image processing techniques. - Hyungjung Kim; Hyunsu Lee; Semin Ahn; Woo-Kyun Jung; Sung-Hoon Ahn (J. Comput. Des. Eng., 2023)

Garment production line optimization using production information based on real-time power monitoring data. - Woo-Kyun Jung; Younguk Song; Eun Suk Suh (Syst. Eng., 2024)

StitchingNet and deep transfer learning method for sewing stitch defect detection. - Woo-Kyun Jung; Jingu Kang; Woojin Kwon; Hyungjung Kim (J. Comput. Des. Eng., 2025)