과제정보
본 연구는 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행한 성과입니다(No. NRF-2020R1C1C1004147).
참고문헌
- Breiman, L. (2001). "Random forests." Machine learning, 45, pp. 5-32. https://doi.org/10.1023/A:1010933404324
- Bzdok, D., Krzywinski, M., and Altman, N. (2017). "Machine learning: a primer." Nature methods, 14(12), pp. 1119-1120. https://doi.org/10.1038/nmeth.4526
- Chen, T., and Guestrin, C. (2016). "Xgboost: A scalable tree boosting system." In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, pp. 785-794.
- Cortes, C., and Vapnik, V. (1995). "Support-vector networks." Machine learning, 20, pp. 273-297. https://doi.org/10.1007/BF00994018
- Dobrowolski, P., Skorko, M., Pochwatko, G., Mysliwiec, M., and Grabowski, A. (2021). "Immersive virtual reality and complex skill learning: transfer effects after training in younger and older adults." Frontiers in Virtual Reality, 1, 604008.
- Feng, Y., and Wu, P. (2015). "Risk compensation behaviours in construction workers' activities." International journal of injury control and safety promotion, 22(1), pp. 40-47. https://doi.org/10.1080/17457300.2013.844714
- Haslam, R.A., Hide, S.A., Gibb, A.G., Gyi, D.E., Pavitt, T., Atkinson, S., and Duff, A.R. (2005). "Contributing factors in construction accidents." Applied ergonomics, 36(4), pp. 401-415. https://doi.org/10.1016/j.apergo.2004.12.002
- Heinrich, H.W. (1941). "Industrial Accident Prevention. A Scientific Approach." Industrial Accident Prevention. A Scientific Approach., (2nd Edition).
- Hoerl, A.E., and Kennard, R.W. (1970). "Ridge regression: applications to nonorthogonal problems." Technometrics, 12(1), pp. 69-82. https://doi.org/10.1080/00401706.1970.10488635
- Korea Occupational Safety and Health Agency. (2022). "Occurrence of Industrial Accidents in 2022." Accessed: Jun. 10, 2023. [Online]. Available: https://www.kosha.or.kr/kosha/data/industrialAccidentStatus.do?mode=view&articleNo=438399&article.offset=0&articleLimit=10
- Lee, K.Y. (2020). "Enhancement of Safety and Health Education towards Improved Awareness of Construction workers." M.E. Dissertation, Hanyang University.
- Liu, H., Li, J., Li, H., Li, H., Mao, P., and Yuan, J. (2021). "Risk Perception and Coping Behavior of Construction Workers on Occupational Health Risks-A Case Study of Nanjing, China." International journal of environmental research and public health, 18(13), 7040.
- Loosemore, M., and Malouf, N. (2019). "Safety training and positive safety attitude formation in the Australian construction industry." Safety science, 113, pp. 233-243. https://doi.org/10.1016/j.ssci.2018.11.029
- Lundberg, S.M., and Lee, S.I. (2017). "A unified approach to interpreting model predictions." Advances in neural information processing systems, 30.
- McCabe, B., Loughlin, C., Munteanu, R., Tucker, S., and Lam, A. (2008). "Individual safety and health outcomes in the construction industry." Canadian Journal of Civil Engineering, 35(12), pp. 1455-1467. https://doi.org/10.1139/L08-091
- Meng, X., and Chan, A. H. (2020). "Demographic influences on safety consciousness and safety citizenship behavior of construction workers." Safety science, 129, 104835.
- Ministry of Employment and Labor. (2021). "Occupational Safety Accident Status." Accessed: Jun. 11, 2023. [Online]. Available: https://kosis.kr/statHtml/statHtml.do?orgId=118&tblId=DT_11806_N000&conn_path=I2
- Murtagh, F. (1991). "Multilayer perceptrons for classification and regression." Neurocomputing, 2(5-6), pp. 183-197. https://doi.org/10.1016/0925-2312(91)90023-5
- Park, H., and Koo, C. (2022). "Effect of virtual reality-based construction safety education on the learning performance of construction workers - Using CAMIL theory -" Korean Journal of Construction Engineering and Management, KICEM, 23(3), pp. 104-115.
- Park, S.W. (2017). "Suggestions on Remedies for Basic Safety and Health Education and New Hire Education in the Construction Industry." M.E. Dissertation, Kyung Hee University.
- Segal, M.R. (2004). "Machine learning benchmarks and random forest regression." UCSF: Center for Bioinformatics and Molecular Biostatistics, pp. 1-14.
- Shapley, Lloyd S. (1953). A value for n-person games, pp. 307-317.
- Shin, K.N., Joo, S.U., and Yang, S.H. (2015). "A Study on the Status and Improvement of the Basic Occupational Safety and Health Training for the Construction Industry : focused on the Educational Methods and Contents." Journal of the Korea Academia-Industrial Cooperation Society, 16(5), pp. 3484-3490. https://doi.org/10.5762/KAIS.2015.16.5.3484
- Smola, A.J., and Scholkopf, B. (2004). "A tutorial on support vector regression." Statistics and computing, 14, pp. 199-222. https://doi.org/10.1023/B:STCO.0000035301.49549.88
- Thevaraja, M., Rahman, A., and Gabirial M. (2019). "Recent developments in data science: Comparing linear, ridge and lasso regressions techniques using wine data." Proceedings of the International Conference on Digital Image & Signal Processing, Oxford United Kingdom, 1, pp. 1-6.
- Yu, W.D., Wang, K.C., and Wu, H.T. (2022). "Empirical Comparison of Learning Effectiveness of Immersive Virtual Reality-Based Safety Training for Novice and Experienced Construction Workers." Journal of Construction Engineering and Management, 148(9), 04022078.