국제학술지 International Journal

Under preparation / review

• Song, S., Kwon, W., Oh, J., Kim, H., and Lee, J., 2026. Digital twin-based Imitation Learning for Enhancing Human-like Driving Efficiency of Mobile Robots in Factory Environments. International Journal of Precision Engineering and Manufacturing, Under Review.

• Park, J., Jung, W.K., and Kim, H., 2026. StitchingNet-Seg: a semantic segmentation dataset of industrial sewing stitch defects. Scientific Data, With Editor.

• Kang, J. and Kim, H., 2025. Keyword-RAG: Enhancing Precision in Question-Answering for Manufacturing Knowledge from Technical Document. Journal of Computational Design and Engineering, Under review-2nd.

• Kim, J., Woo, J.H., Jung, W.K., Kim, H., 2025, An efficient anomaly detection method for the industrial sewing process using PatchCore and fine-tuned ResNet. Scientific Reports, Under review-2nd.

1. Lee, H., Manongia, F., Song, H., Park, S., Bhandaric, B., Kim, H., Rhee, H. S., and Ahn, S.H., 2025. Mobile Energy Management System for E-motorcycle Integrated with Micro Off-Grid: A Case Study in Rural Tanzania. International Journal of Precision Engineering and Manufacturing-Green Technology,  pp.1-22. https://doi.org/10.1007/s40684-025-00824-y (open access). [IF 5.6, Top 11.8%]

2. Kwon, W., Yang, J., Song, S., Lee, J., and Kim, H., 2025. Real-time digital-twin-based cobot–worker collision risk prediction using Unity, ROS, and UWB, IEEE Access, 13, pp. 85967-85978. https://doi.org/10.1109/ACCESS.2025.3569332 (open access). [IF 3.6, Top 35.2%]

3. Yun, W.J., Hong, S., Lee, K.W., Kim, D., Kim, H., and Ahn, S.H., 2025. SmartLab: Flexible and interoperable manufacturing laboratory system for remote education and research using a mobile manipulator. Journal of Computational Design and Engineering, 12(4), pp. 221-235. http://doi.org/10.1093/jcde/qwaf034 (open access). [IF 6.1, Top 6.4%] [Editor's Choice]

4. Jung, W.K., Kang, J., Kwon, W., and Kim, H., 2025. StitchingNet and deep transfer learning method for sewing stitch defect detection. Journal of Computational Design and Engineering, 12(4), pp. 140-154. https://doi.org/10.1093/jcde/qwaf037 (open access). [IF 6.1, Top 6.4%] [Editor's Choice]

5. Park, S.Y., Lee, C., Jeong, S., Lee, J., Kim, D., Jang, Y., Seol, W., Kim, H., and Ahn, S.H., 2024. Digital Twin and Deep Reinforcement Learning-Driven Robotic Automation System for Confined Workspaces: A Nozzle Dam Replacement Case Study in Nuclear Power Plants. International Journal of Precision Engineering and Manufacturing-Green Technology, 11(3), pp. 939-962. https://doi.org/10.1007/s40684-023-00593-6 (open access). [IF 5.6, Top 11.8%]

6. Park, S.Y., Kim, H., and Ahn, S.H., 2024. Hand-monitoring System Using CutMix-based Synthetic Augmentation for Safety in Factories. IEEE Access, 12, pp. 27661-27672. https://doi.org/10.1109/ACCESS.2024.3367805 (open access). [IF 3.4, Top 34.4%]

7. Park, S.Y., Lee, C., Kim, H., and Ahn, S.H., 2024. Enhancement of Control Performance for Degraded Robot Manipulators using Digital Twin and Proximal Policy Optimization. IEEE Access, 12, pp. 19569-19583. https://doi.org/10.1109/ACCESS.2024.3359268 (open access). [IF 3.4, Top 34.4%]

8. Kim, H., Lee, H., Ahn, S., Jung, W.K., and Ahn, S.H., 2023. Broken stitch detection system for industrial sewing machines using HSV color space and image processing techniques. Journal of Computational Design and Engineering, 10(4), pp. 1602-1614. https://doi.org/10.1093/jcde/qwad069 (open access). [IF 4.8, Top 11.3%]

9. Kim, H., Quan, Y.J., Jung, G. Y., Lee, G. W., Jeong, S. H., Yun, W. J., Park, S. Y., and Ahn, S.H., 2023. Smart Factory Transformation Using Industry 4.0 toward ESG Perspective: A Critical Review and Future Direction, International Journal of Precision Engineering and Manufacturing-Smart Technology, 1(2), pp. 165-185. https://doi.org/10.57062/ijpem-st.2022.0073 (open access). [Editor-in-Chief's Choice]

10. Kim, H., Lee, H., and Ahn, S.H., 2022. Systematic deep transfer learning method based on a small image dataset for spaghetti-shape defect monitoring of fused deposition modeling. Journal of Manufacturing Systems, 65, pp. 439-451. https://doi.org/10.1016/j.jmsy.2022.10.009 (open access). [IF 12.1, Top 1.7%]

11. Kim, H., Jung, W.K., Park, Y.C., Lee, J.W., and Ahn, S.H., 2022. Broken stitch detection method for sewing operation using CNN feature map and image-processing techniques. Expert Systems with Applications, 188, p. 116014. https://doi.org/10.1016/j.eswa.2021.116014 (open access). [IF 8.5, Top 6.4%]

12. Kim, H., Lee, H., Kim, J.S., and Ahn, S.H., 2020. Image-based failure detection for material extrusion process using a convolutional neural network. The International Journal of Advanced Manufacturing Technology, 111(5), pp. 1291-1302. https://doi.org/10.1007/s00170-020-06201-0 (open access). [IF 3.2, Top 46.83%]

13. Jung, W.K., Kim, H., Park, Y.C., Lee, J.W., and Suh, E.S., 2022. Real-time data-driven discrete-event simulation for garment production lines. Production Planning & Control, 33(5), pp. 480-491. https://doi.org/10.1080/09537287.2020.1830194 (open access). [IF 8.3, Top 7.6%]

14. Wang, X., Ha, B., Lee, G.Y., Kim, H., Yu, J., Rhee, H., Njau, K.N., Jande, Y.A.C., and Ahn, S.H., 2020. Low-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzania. Sustainable Cities and Society, 59, p. 102209. https://doi.org/10.1016/j.scs.2020.102209. [IF 7.587, Top 5.22%]

15. Park, H.B., Kim, D.R., Kim, H., Wang, W., Han, M.W., and Ahn, S.H., 2020. Design and analysis of artificial muscle robotic elbow joint using shape memory alloy actuator. International Journal of Precision Engineering and Manufacturing, 21(2), pp. 249-256. https://doi.org/10.1007/s12541-019-00240-8. [IF 2.106, Top 50.0%]

16. Jung, W.K., Kim, H., Park, Y.C., Lee, J.W., and Ahn, S.H., 2020. Smart sewing work measurement system using IoT-based power monitoring device and approximation algorithm. International Journal of Production Research, 58(20), pp. 6202-6216. https://doi.org/10.1080/00207543.2019.1671629. [IF 8.568, Top 1.79%]

17. Kim, H., Jung, W.K., Choi, I.G., and Ahn, S.H., 2019. A low-cost vision-based monitoring of computer numerical control (CNC) machine tools for small and medium-sized enterprises (SMEs). Sensors, 19(20), p. 4506. https://doi.org/10.3390/s19204506 (open access). [IF 3.275, Top 22.66%]

18. Kim, D.H., Kim, T.J., Wang, X., Kim, M., Quan, Y.J., Oh, J.W., Min, S.H., Kim, H., Bhandari, B., Yang, I., and Ahn, S.H., 2018. Smart machining process using machine learning: A review and perspective on machining industry. International Journal of Precision Engineering and Manufacturing-Green Technology, 5(4), pp. 555-568. https://doi.org/10.1007/s40684-018-0057-y. [IF 4.6, Top 6.59%]

19. Kim, H.J., Song, S.H., and Ahn, S.H., 2012. A turtle-like swimming robot using a smart soft composite (SSC) structure. Smart Materials and Structures, 22(1), p.014007. https://doi.org/10.1088/0964-1726/22/1/014007. [IF 2.204, Top 11.4%] [218 citations]

20. Ahn, S.H., Lee, K.T., Kim, H.J., Wu, R., Kim, J.S., and Song, S.H., 2012. Smart soft composite: An integrated 3D soft morphing structure using bend-twist coupling of anisotropic materials. International Journal of Precision Engineering and Manufacturing, 13(4), pp. 631-634. https://doi.org/10.1007/s12541-012-0081-8

21. Kim, M.H., Kim, H.J., Kim, N.N., Yoon, H.S., and Ahn, S.H., 2011. A rotational ablation tool for calcified atherosclerotic plaque removal. Biomedical microdevices, 13(6), pp. 963-971. https://doi.org/10.1007/s10544-011-9566-y

22. Kim, C.S., Kim, H.J., Ahn, S.H., and Jang, D.Y., 2010. Morphological influence of the beam overlap in focused ion beam induced deposition using raster scan. Microelectronic engineering, 87(5-8), pp. 972-976. https://doi.org/10.1016/j.mee.2009.11.131

23. Kim, H.J., Wie, K.H., Ahn, S.H., Choo, H.S., and Jun, C.S., 2010. Slicing algorithm for polyhedral models based on vertex shifting. International Journal of Precision Engineering and Manufacturing, 11(5), pp. 803-807. https://doi.org/10.1007/s12541-010-0096-y

24. Kang, H.J., Kim, H.J., Kim, J.S., Choi, W.Y., Chu, W.S., and Ahn, S.H., 2010. Laser marking system for light guide panel using design of experiment and web-based prototyping. Robotics and Computer-Integrated Manufacturing, 26(5), pp. 535-540. https://doi.org/10.1016/j.rcim.2010.04.003

25. Pikhitsa, P.V., Choi, M., Kim, H.J., and Ahn, S.H., 2009. Auxetic lattice of multipods. physica status solidi (b), 246(9), pp. 2098-2101. https://doi.org/10.1002/pssb.200982041

26. Chun, D.M., Kim, H.J., Lee, J.C., and Ahn, S.H., 2007. Web-based material database for material selection and its application programming interface (API) for CAD. In Key Engineering Materials (Vol. 345, pp. 1593-1596). Trans Tech Publications Ltd.

27. Lee, C.S., Kim, S.G., Kim, H.J., and Ahn, S.H., 2007. Measurement of anisotropic compressive strength of rapid prototyping parts. Journal of materials processing technology, 187, pp. 627-630. https://doi.org/10.1016/j.jmatprotec.2006.11.095

28. Chu, W.S., Kim, S.G., Kim, H.J., Lee, C.S., and Ahn, S.H., 2007. Fabrication of bio-composite drug delivery system using rapid prototyping technology. In Key Engineering Materials (Vol. 342, pp. 497-500). Trans Tech Publications Ltd.

29. Lee, H.S., Kim, H.J., Kim, S.G., and Ahn, S.H., 2007. Evaluation of graphite composite bipolar plate for PEM (proton exchange membrane) fuel cell: Electrical, mechanical, and molding properties. Journal of materials processing technology, 187, pp. 425-428. https://doi.org/10.1016/j.jmatprotec.2006.11.213

30. Chu, W.S., Kim, S.G., Jung, W.K., Kim, H.J., and Ahn, S.H., 2007. Fabrication of micro parts using nano composite deposition system. Rapid Prototyping Journal. 13(5), pp. 276–283. https://doi.org/10.1108/13552540710824779

31. Kim, H.J., Chu, W.S., Ahn, S.H., Kim, D.S., and Jun, C.S., 2006. Web‐based design and manufacturing systems for micromachining: Comparison of architecture and usability. Computer Applications in Engineering Education, 14(3), pp. 169-177. https://doi.org/10.1002/cae.20076