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Journal of the Korean Society of Civil Engineers

Journal of the Korean Society of Civil Engineers

ISO Journal TitleKSCE J. Civ. Environ. Eng. Res.
  • Open Access, Bi-monthly

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  3. 2023-06 (v.43 n.3)
  4. 10.12652/Ksce.2023.43.3.0397
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References

1 
Bektas, B. A., Carriquiry, A. and Smadi, O. (2013). “Using classification trees for predicting national bridge inventory condition ratings.” Journal of Infrastructure Systems, Vol. 19, No. 4, pp. 425-433, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000143.DOI
2 
Chung, S. H., Lim, S. R. and Chi, S. H. (2016). “Developing an estimation model for safety rating of road bridges using rule-based classification method.” Journal of KIBIM, Vol. 6, No. 2, pp. 29-38, https://doi.org/10.13161/kibim.2016.6.2.029 (in Korean).DOI
3 
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., Münkemüller, T., McClean, C., Osborne, P. E., Reineking, B., Schröder, B., Skidmore, A. K., Zurell, D. and Lautenbach, S. (2013). “Collinearity: A review of methods to deal with it and a simulation study evaluating their performance.” Ecography, Vol. 36, No. 1, pp. 27-46, https://doi.org/10.1111/j.1600-0587.2012.07348.x.DOI
4 
Facility Management System(FMS) (2021). https://www.fms.or.kr/com/mainForm.do (Accessed: September 12, 2021).URL
5 
Géron, A. (2019). Hands-on machine learning with Scikit-learn, Keras, and TensorFlow, 2nd Ed., O'Reilly Media, Inc.URL
6 
Grandini, M., Bagli, E. and Visani, G. (2020). Metrics for multi-class classification: An overview, arXiv:2008.05756, Available at: https://arxiv.org/abs/2008.05756 (Accessed: July 25, 2022).URL
7 
He, H. and Garcia, E. A. (2009). “Learning from imbalanced data.” IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 9, pp. 1263-1284, https://doi.org/10.1109/TKDE.2008.239.DOI
8 
Hosmer, D. W. and Lemeshow, S. (2000). Applied logistic regression, 2nd Ed., John Wiley & Sons, Inc.URL
9 
Hur, Y. K., Lee, H. I., Shin, J. Y. and Park, C. H. (2010). “A research for the determinant factors of safety ratings in road-bridge.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 14, No. 6, pp. 229-237, https://doi.org/10.11112/jksmi.2010.14.6.229 (in Korean).DOI
10 
Kang, B. H. (2016). “Suggestions for improving the com- petitiveness of safety inspection industry.” KSCE Magazine, Vol. 64, No. 10, pp. 12-15 (in Korean).URL
11 
Kang, S. H., Choi, S. I., Kim, H. R. and Lee, J. S. (2016). “A study on performance evaluation of infrastructure safety and maintenance.” Korean Journal of Construction Engineering and Management, Vol. 17, No. 2, pp. 80-89, https://doi.org/10.6106/ KJCEM.2016.17.2.080 (in Korean).DOI
12 
Kazemitabar, S. J., Amini, A. A., Bloniarz, A. and Talwalker, A. (2017). “Variable importance using decision trees.” Proceedings of the 31st International Conference on Neural Information Processing Systems(NIPS 2017), pp. 425-434.URL
13 
Kim, S. J. and Yoon, M. O. (2018). “A study on the improvement program of bridge safety management through public-private governance.” Journal of the Korean Society of Hazard Mitigation, Vol. 18, No. 1, pp. 145-156, http://doi.org/10.9798/KOSHAM.2018.18.1.145 (in Korean).DOI
14 
Korea Concrete Institute(KCI) (2009). Standard specification for concrete, KCI (in Korean).URL
15 
Lee, H. H., Kyung, K. S. and Jeon, J. C. (2010). “Fatigue life estimation method considering traffic properties for steel highway girder bridge.” Journal of Korean Society of Steel Construction, Vol. 22, No. 3, pp. 209-218 (in Korean).URL
16 
Lee, H. H., Shin, B. G., Lee, Y. I. and Kim, Y. M. (2019a). “Suggestion of priority decision method for performance evaluation based on risk index for small and medium sized bridges.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 23, No. 6, pp. 70-76, https://doi.org/10.11112/ jksmi.2019.23.6.70 (in Korean).DOI
17 
Lee, I. K. and Kim, D. H. (2015). “Highway bridge inspection period based on risk assessment.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 19, No. 3, pp. 64-72, https://doi.org/10.11112/jksmi.2015.19.3.064 (in Korean).DOI
18 
Lee, J. H., Lee, K. Y., Ahn, S. M. and Kong, J. S. (2018). “Proposal of maintenance scenario of feasibility analysis of bridge inspection using Bayesian approach.” Journal of the Korean Society of Civil Engineers, Vol. 38, No. 4, pp. 505-516, http://doi.org/10.12652/Ksce.2018.38.4.0505 (in Korean).DOI
19 
Lee, K. N., Lim, J. T., Bok, K. S. and Yoo, J. S. (2019b). “Handling method of imbalance data for machine learning: Focused on sampling.” The Journal of the Korea Contents Association, Vol. 19, No. 11, pp. 567-577, https://doi.org/10.5392/JKCA.2019.19.11.567 (in Korean).DOI
20 
Martinez, P., Mohamed, E., Mohsen, O. and Mohamed, Y. (2020). “Comparative study of data mining models for prediction of bridge future conditions.” Journal of Performance of Constructed Facilities, Vol. 34, No. 1, 04019108, https://doi.org/10.1061/(ASCE)CF.1943-5509.0001395.DOI
21 
Ministry of Land, Infrastructure and Transport(MOLIT) (2021a). Guidelines for safety and maintenance of facilities, MOLIT (in Korean).URL
22 
Ministry of Land, Infrastructure and Transport(MOLIT) (2021b). National bridge standard data, MOLIT, Available at: https://www.data.go.kr/data/15081953/fileData.do (Accessed: September 12, 2021) (in Korean).DOI
23 
Ministry of Land, Infrastructure and Transport(MOLIT) (2021c). Special act on the safety control and maintenance of establishments, MOLIT (in Korean).URL
24 
Ministry of Land, Infrastructure and Transport(MOLIT) (2021d). Yearbook of road bridge and tunnel statistics, MOLIT, Available at: https://bti.kict.re.kr/bti/publicMain/main.do (Accessed: March 8, 2022) (in Korean).URL
25 
Nguyen, T. T. and Dinh, K. (2019). “Prediction of bridge deck condition rating based on artificial neural networks.” Journal of Science and Technology in Civil Engineering, Vol. 13, No. 3, pp. 15-25, https://doi.org/10.31814/stce.nuce2019-13(3)-02.DOI
26 
Oh, S. T., Lee, D. J. and Lee, J. H. (2010). “A condition rating method of bridges using an artificial neural network model.” Journal of the Korean Society for Railway, Vol. 13, No. 1, pp. 71-77 (in Korean).URL
27 
Provost, F. and Fawcett, T. (2013). Data science of business: What you need to know about data mining and data-analytic thinking, O'Reilly Media, Inc.URL
28 
Ratner, B. (2009). “The correlation coefficient: Its values range between +1/-1, or do they?” Journal of Targeting, Measurement and Analysis for Marketing, Vol. 17, pp. 139-142, https://doi.org/ 10.1057/jt.2009.5.DOI
29 
Scikit-learn developers (2007-2022). https://scikit-learn.org/.URL
30 
Truică, C. O. and Leordeanu, C. A. (2017). “Classification of an imbalanced data set using decision tree algorithms.” U.P.B. Scientific Bulletin, Series C: Electrical Engineering and Computer Science, Vol. 79, Iss. 4, pp. 69-84.URL
31 
Yonhapnews (2023). Most of the bridges in the first new town have passed more than 30 years...Citizens are worried about deterioration. https://www.yna.co.kr/view/AKR20230406092900061 (Accessed: April 12, 2023) (in Korean).URL