Nano-cracked strain sensor with high sensitivity and linearity by controlling the crack arrangement H Jung, C Park, H Lee, S Hong, H Kim, SJ Cho Sensors 19 (12), 2834, 2019 | 36 | 2019 |
A rail-temperature-prediction model based on machine learning: warning of train-speed restrictions using weather forecasting S Hong, C Park, S Cho Sensors 21 (13), 4606, 2021 | 17 | 2021 |
A rail-temperature-prediction model considering meteorological conditions and the position of the sun SU Hong, HU Kim, NH Lim, KH Kim, H Kim, SJ Cho International Journal of Precision Engineering and Manufacturing 20, 337-346, 2019 | 15 | 2019 |
Prediction of a representative point for rail temperature measurement by considering longitudinal deformation SU Hong, H Jung, C Park, H Lee, HU Kim, NH Lim, HU Bae, KH Kim, ... Proceedings of the Institution of Mechanical Engineers, Part F: Journal of ¡¦, 2019 | 14 | 2019 |
One-step laser encapsulation of nano-cracking strain sensors C Park, H Jung, H Lee, S Hong, H Kim, SJ Cho Sensors 18 (8), 2673, 2018 | 12 | 2018 |
Nanofibrous sunscreen B Lee, H Lee, C Park, S Hong, H Jung, H Kim, SJ Cho Journal of Materials Chemistry C 10 (34), 12451-12451, 2022 | 5 | 2022 |
Real-time multiaxial strain mapping using computer vision integrated optical sensors S Hong, VP Rachim, JH Baek, SM Park npj Flexible Electronics 7 (1), 30, 2023 | 4 | 2023 |
Advanced Representative Rail Temperature Measurement Point Considering Rail Deformation by Meteorological Conditions and Rail Orientation C Park, J Yoon, S Hong, C Park, Y Jeong, J Kim, B Lee, H Lee, C Song, ... International Journal of Precision Engineering and Manufacturing 24 (2), 239-249, 2023 | 2 | 2023 |
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