JKSMI
Journal of the Korea Institute for
Structural Maintenance and Inspection
KSMI
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Bi-monthly
ISSN : 2234-6937 (Print)
ISSN : 2287-6979 (Online)
http://journal.auric.kr/jksmi/
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Journal of the Korea Concrete Institute
J Korea Inst. Struct. Maint. Insp.
Indexed by
Korea Citation Index (KCI)
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2025-10
(Vol.29 No.5)
10.11112/jksmi.2025.29.5.84
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References
1
Christopher W. F. (2014), Statistical Bridge Signatures, Journal of Bridge Engineering, 19(7).
2
Chung C. H., An H. H., Shin S. B., and Kim Y. H. (2014), Reset of Measurement Control Criteria for Monitoring Data through the Analysis of Measured data, Journal of the Korea Institute for Structural Maintenance and Inspection, 18(6), 105-113 (in Korean with English abstract).
3
Jang W. S., Jeong S. H., and Park B. C. (2020), A Study on the Validation of Measured from the Seismic Accelerometers in the Safety Evaluation System of Public Buildings, Journal of the Korea Institute for Structural Maintenance and Inspection, 24(5), 150-157 (in Korean with English abstract).
4
Jeong S. H., Jang W. S., and Park B. C. (2020), A Study on the Development of a Rapid Safety Assessment System for Buildings Using Seismic Accelerometers, Journal of the Korea Institute for Structural Maintenance and Inspection, 24(6), 161-170 (in Korean with English abstract).
5
Jeong Y. S., Kim W. S., Lee I. K., and Lee J. H. (2018), Bridge inspection practices and bridge management programs in China, Japan, Korea, and U.S., Journal of Structural Integrity and Maintenance, 3(2), 126-135.
6
Kim E. J., Cho S. J, and Sim S. H. (2015), A Recent Research Summary on Smart Sensors for Structural Health Monitoring, Journal of the Korea Institute for Structural Maintenance and Inspection, 19(3), 10-21 (in Korean with English abstract).
7
Kim H. B., and Song J. H. (2016), Study for Determination of Management Thresholds of Bridge Structural Health Monitoring System based on Probabilistic Method, Journal of the Korea Institute for Structural Maintenance and Inspection, 20(3), 103-110 (in Korean with English abstract).
8
Kim J. K. (2021), Development of a Customized Beacon Equipped with a Strain Gauge Sensor to Detect Deformation of Structure Displacement, Journal of the Korea Institute for Structural Maintenance and Inspection, 25(5), 1-7 (in Korean with English abstract).
9
Lee Y. W., Park W. J., Kang Y. J., and Kim S. J. (2021), Response pattern analysis‐based structural health monitoring of cable‐stayed bridges, Struct Control Health Monit, 28(11).
10
Min J. Y., Park Y. S., Park T. R., Kil Y. S., and Jin S. S. (2024), Development of Autonomous Cable Monitoring System of bridge based on IoT and Domain Knowledge, Journal of the Korea Institute for Structural Maintenance and Inspection, 28(3), 66-73 (in Korean with English abstract).
11
Nguyen T. Q., Tu V. B., Nguyen D. N. (2025), Enhancing water pressure sensing in challenging environments: A strain gage technology integrated with deep learning approach, Measurement and Control, 58(2), 208-226.
12
Park J. O., Park S. H., An S. J., Park W. J., and Kim J. H. (2019), Bridge Wireless Measurement System Development based on LoRa IoT, Journal of the Korea Institute for Structural Maintenance and Inspection, 23(7), 164-171 (in Korean with English abstract).
13
Patil A. S., Deshpande A. R., Balapure A. S., Sirsilla S. A., Rajuskar V. M., Chaudhari A. U. (2020), Bridge Health Monitoring using IoT, International Research Journal of Engineering and Technology (IRJET), 7(8), 2987-2991.
14
Tan D., Guo T., Luo H., Ji B., Tao Y., Li A. (2023), Dynamic Threshold Cable-Stayed Bridge Health Monitoring System Based on Temperature Effect Correction, Sensors, 23, 8826.
15
Wan S., Guan S., Tang Y. (2023), Advancing Bridge Structural Health Monitoring: Insights into Knowledge-Driven and Data-Driven Approaches, Journal of Data Science and Intelligent Systems, 2, 129-140.