References
- Bae, D. B., and Hwang, E. S. (2004), Fatigue Load Model for the Design of Steel Bridges, Journal of the Korean Society of Civil Engineers, 24(1A), 225-232(in Korean).
- Chang, S. J., and Kim, N. S. (2010), Applications of Displacement Response Estimation Algorithm Using Mode Decomposition Technique to Existing Bridges. Journal of the Korean Society of Civil Engineers, 30(3A), 257-264(in Korean).
- Chi, S. H. (2016), Big Data Analysis of Unstructured Documents and Video Images in the Construction Industry, Magazine of Korean Society of Civil Engineers, 64(8), 15-18 (in Korean).
- Friedman, T. L., and Mandelbaum, M. (2011), That Used to Be Us, 21C Book Inc., Korea (in Korean).
- Gonzalez, A. (2010), Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights, Lambert Academic Publishing.
- Huh, M. H. (2008), SPSS statistics data validation, neural networks & PLS regression, Datasolution Inc., Korea (in Korean).
- Kaiser, H. F. (1974), An index of factorial simplicity, Psychometrika, 39(1), 31-36. https://doi.org/10.1007/BF02291575
- Khanh, H. D. (2014), Waste Problems in Vietnam Construction Industry Based on Lean Philosophy, Doctoral Thesis, Pukyong National University.
- Kim, D. C. (2016), Big Data Reference Case of Civil and Construction Industry, Magazine of Korean Society of Civil Engineers, 64(8), 19-23(in Korean).
- Kim, H. J., Yoon, J. G., Lee, J. H., and Chang, S. P. (2005), Analysis of Long-term Monitoring Results of a Cable-Stayed Bridge using ARX model, Proceedings of KSCE 2005 Annual Conference, 928-931(in Korean).
- Kim, Y. C., Yoo, W. S., and Shin, Y. S. (2017), Application of Artificial Neural Networks to Prediction of Construction Safety Accidents, Journal of the Korean Society of Hazard Mitigation, 17(1), 7-14(in Korean). https://doi.org/10.9798/KOSHAM.2017.17.1.7
- Oh, S. H. (2009), An Analysis of Noise Robustness for Multilayer Perceptrons and Its Improvements, Journal of the Korea Contents Association, 9(1), 159-166(in Korean). https://doi.org/10.5392/JKCA.2009.9.1.159
- Park, J. C. (2015), Evaluation of Thermal Movements of a Cable-Stayed Bridge Using Temperatures and Displacements Data, Journal of the Korean Society of Civil Engineers, 35(4), 779-789(in Korean). https://doi.org/10.12652/Ksce.2015.35.4.0779
- Park, J. C., Park, C. M., and Song, P. Y. (2004), Evaluation of Structural Behaviors Using Full Scale Measurements on the Seo Hae Cable-Stayed Bridge, Journal of the Korean Society of Civil Engineers, 24(2A), 249-257(in Korean).
- Park, J. H. (2015), The optimum design of expansion joints by long-term monitoring data for the Diamond Bridge, Master Thesis, Pukyong National University(in Korean).
- Park, J. H., and Kim. S. Y. (2017), Analysis of Suspension Bridge Reinforced Truss Strain by Traffic, 2017 Proceedings of KSMI Annual Conference, 357-358(in Korean).
- Park, J. H., Shin, S. W., and Kim, S. Y. (2018), Modeling on Expansion Behavior of Gwangan Bridge using Machine Learning Techniques and Structural Monitoring Data, Journal of the Korean Society of Safety, 33(6), 42-49(in Korean). https://doi.org/10.14346/JKOSOS.2018.33.6.42
- Park, J. H., Shin, S. W. and Kim, S. Y. (2018), Traffic Volume Dependent Displacement Estimation Model for Gwangan Bridge Using Monitoring Big Data, Journal of the Korean Society of Civil Engineers, 38(2), 183-191(in Korean). https://doi.org/10.12652/Ksce.2018.38.2.0183
- Park, J. S., Ro, S. K., Park, J. H., Nam, S. S., and Moon, D. J. (2013), Correlation Analysis between Deflection and Temperature in suspension bridge using GNSS and Laser Displacement Sensor, Proceedings of KSMI 2013 Spring Conference, 375-379(in Korean).
- Shin, D. H. (2016), How the Construction Industry Should Leap in the Big Data Era, Magazine of Korean Society of Civil Engineers, 64(8), 10-14(in Korean).
- Song, J. J. (2016), SPSS/AMOS statistical analysis method for paper writing, 21C Book Inc., Korea(in Korean).
- Sousa, H., Zavitsas, K., Polak, J., and Chryssanthopoulos, M. (2014), Inferring Asset Live Load Distributions from Traffic Flow Data: A New SHM Opportunity?, EWSHM-7th European Workshop on Structural Health Monitoring., Nantes, France, 435-442
- Won, T. Y., and Jeong, S. W. (2015), Statistical Analysis - SPSS 18.0, Hannarae Book Inc., Korea(in Korean).
- Yang, Y. B., Yau, J. D. and Wu, Y. S. (2004), Vehicle-Bridge Interaction Dynamics, World Scientific Publishing Co., New Jersey, USA.
- Yoo, J. I. (2008), Constructs and Application of Artificial Neural Network, 2008 Annual Conference of Korean Psychological Association, 2-3(in Korean).
- Zhou, Y., and Chen, S. (2017), Dynamic Assessment of Bridge Deck Performance Considering Realistic Bridge-Traffic Interaction, No. MPC 17-333, North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, North Dakota, USA.