International

  1. Kim, B., Lee, J., Sim, S.-H., Cho, S., and Park, B.H. (2022), "Computer vision-based remote displacement monitoring system for in-situ bridge bearings robust to large displacement induced by temperature change," Smart Structures and Systems, 30(5), pp.521-535.
  2. Lee, J., Jeong, S., Kim, H., Lee, K.-C., and Sim, S.-H. (2022), "Comparative study of long-term displacement measurement methods - Focusing on a pre-stressed concrete bridge under construction," Measurement, 201, pp.111691.
  3. Lee, J., Jeong, S., Lee, J., Sim, S.-H., Lee, K.-C., and Lee, Y.-J. (2022), "Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains," Structural Health Monitoring, 21(6), pp.2518-2530.
  4. Lee, S., Lee, J., Park, J.-W., and Sim, S.-H. (2021), “Nontarget-based measurement of 6-DOF displacement using combined RGB color and depth information,” IEEE/ASME Transactions on Mechatronics, 26(3), pp.1358-1368.
  5. Jeong, S., Kim, H., Lee, J., and Sim, S.-H. (2021), “Automated wireless monitoring system for cable tension forces using deep learning,” Structural Health Monitoring, 20(4), pp.1805-1821.
  6. Lee, J., Lee, K.-C., Jeong, S., Lee, Y.-J., and Sim, S.-H. (2020), "Long-term displacement measurement of full-scale bridges using camera ego-motion compensation," Mechanical Systems and Signal Processing, 140, pp.106651.
  7. Lee, J., Jeong, S., Lee, Y.-J., and Sim, S.-H. (2019), "Stress estimation using digital image correlation with compensation of camera motion-induced error," Sensors, 9(24), pp.5503.
  8. Lee, J., Lee, K.-C., Sim, S.-H., Lee, J., and Lee, Y.-J. (2019), "Bayesian prediction of prestressed concrete bridge deflection using finite element analysis," Sensors, 19(22), pp.4956.
  9. Lee, J., Lee, K.-C., Lee, S., Lee, Y.-J., and Sim, S.-H. (2019), "Long-term displacement measurement of bridges using a LiDAR system," Structural Control and Health Monitoring, 26(10), pp.e2428.
  10. Jeong, S., Lee, J., Cho, S., and Sim, S.-H. (2019), "Integrated cable vibration control system using Arduino," Smart Structures and Systems, 23(6), pp.695-702.
  11. Lee, J., Kim, E., Gwon, S., Cho, S., and Sim, S.-H. (2019), "Uniaxial static stress estimation for concrete structures using digital image correlation," Sensors, 19(2), pp.319.
  12. Cho, S., Lee, J., and Sim, S.-H. (2018), "Comparative study on displacement measurement sensors for high-speed railroad bridge," Smart Structures and Systems, 21(5), pp.637-652.
  13. Lee, J., Lee, K.-C., Cho, S., and Sim, S.-H. (2017), "Computer vision-based structural displacement measurement robust to light-induced image degradation for in-service bridges," Sensors, 17(10), pp.2317.
  14. Kim, H., Lee, J., Ahn, E., Cho, S., Shin, M., and Sim, S.-H. (2017), "Concrete crack identification using a UAV incorporating hybrid image processing," Sensors, 17(9), pp.2052.
  15. Cho, S., Sim, S.-H., Park, J.-W., and Lee, J. (2014), "Extension of indirect displacement estimation method using acceleration and strain to various types of beam structures," Smart Structures and Systems, 14(4), pp.699-718.

Domestic

  1. Lee, J., Cho, S., and Sim, S.-H. (2014), "Vision-based displacement measurement system operable at arbitrary positions,” Journal of the Korea institute for structural maintenance and inspection, 18(6), pp.123-130.

Invited Seminar

  1. Lee, J. (Mar. 2021), "DIC-based stress estimation," Korea Railroad Research Institute (KRRI), Korea
  2. Lee. J. (Jan. 2021), "DIC-based stress estimation & LiDAR-based displacement measurement," Korea Institute of Civil Engineering and Building Technology (KICT), Korea
  3. Lee. J. (Jan. 2018), "Vision-based displacement measurement," Kyungpook National University (KNU), Korea