Prof. Sangyong Kim

Department of Plant & Architectural Engineering

Kyonggi University, Republic of Korea

Professor

Email: sykim@kyonggi.ac.kr

Qualifications

Ph. D., University of Reading, Construction Management and Engineering

M. Sc.,  Korea University, Construction Management and Material

B. S.,  Korea University, Civil and Environmental Engineering

B. S.,  Korea University, Physics

Publications(Selected)

Refereed Archival Journal Publications

1. Kim, S. Y., Park, B. W., Kang, K. I. (2003).A Study on the Evaluation of the Efficiency in the Costs of the Remodeling, Journal of the Korean Institute of Building Construction, 3 (4), 129-134.
2. Kim, G. H., Kim, S. Y., Kang, K.I. (2004).Comparing Accuracy of Prediction Cost Estimation Using Case-Based Reasoning and Neural Networks,Journal of the Architectural Institute of Korea, 20 (5), 93-102.
3. Choi, J. W., Kim, S. Y., Kim, G. H., Kang, K. I. (2005).Study on Correlation between Human Factors and Construction Quality Management,Journal of the Architectural Institute of Korea, 21 (4), 141-149.(IF: 0.051)
4. Kim, S. Y., Choi, J. W., Kim, G. H., Kang, K. I. (2005).Prediction Cost Estimation in Apartment House Projects: CBR versus ANN, Journal of Asian Architecture and Building Engineering, 4 (1), 113-120.
5. Kim, S. Y. (2011).Bayesian Model for Cost Estimation for Construction Project, Journal of Korean Institute of Building Construction, February, 11(1), 91-99. ISSN: 1598-2033.doi: 10.5345/JKIC.2011.02.1.091.
6. Kim, S. Y. (2011).Support Vector Machine Model to Select Exterior Materials, Journal of Korean Institute of Building Construction, June, 11 (3), 238-246. ISSN: 1598-2033.doi: 10.5345/JKIC.2011.06.3.238.
7. Kim, S. H., Kim, S. Y. (corresponding author) (2011). RFID Technology Applications with PMIS for Managing RMC Truck Operation, Journal of Korean Institute of Building Construction, October, 11 (5), 468-481. ISSN: 1598-2033. http://dx.doi.org/10.5345/JKIBC.2011.11.5.468.
8. Park, S. H., Kim, S. Y. (corresponding author) (2011). A Strategy Bayesian Model for Deciding Optimum Tender Price, Architectural Research, September, 13 (3), 49-56. ISSN: 1229-6163, http://dx.doi.org/10.5659/AIKAR.2011.13.3.49.
9. Kim, S. Y. (2012).Knowledge-Based Model for Forecasting Percentage Progress Costs, Journal of Korean Institute of Building Construction, October, 12 (5), 518-527. ISSN: 1598-2033. http://dx.doi.org/10.5345/JKIBC.2012.12.5.518.
10. Kim, S. Y.(2012).Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms, Journal of Asian Architecture and Building Engineering (SCIE), 11 (2), 327-334. ISSN: 1346-7581. (IF: 0.051)
11. Kim, S. Y. (2013).Hybrid Forecasting System based on Case-Based Reasoning and Analytic Hierarchy Process for Cost Estimation, Journal of Civil Engineering and Management (SCIE), 19 (1), 86-96. ISSN: 1392-3730. doi: 10.3846/13923730.2012.737829.(IF: 2.016)
12. Kim, S. Y., Kim, S. H., Llewellyn, T., Kim, G. H. (2013). Efficient Management of Construction Process Using RFID+PMIS System, Applied Mathematics & Information Sciences (SCIE), 7 (1), 11-18. ISSN: 1935-0090. (IF: 0.731)
13. Kim, J. S., Kim, S. Y.(corresponding author),Llewellyn, T. (2013).Feasibility of Support Vector Machine for the Determination of Building Materials,ASCE, Journal of Computing in Civil Engineering (SCI), ISSN: 0887-3801 doi: 10.1061/(ASCE) CP. 1943-5487.0000259. (IF: 1.268)
14. Kim, S. Y., Kim, G. H., Lee, D. O. (2013).Bayesian Markov Chain Monte Carlo Model for Deciding Optimum Tender Price in Multifamily Housing Projects, ASCE, Journal of Computing in Civil Engineering (SCI), ISSN: 0887-3801 doi:10.1061/(ASCE)CP.1943-5487.0000297. (IF: 1.268)
15. Kim, G. H., Shin, J. M., Kim, S. Y., Shin, Y. S. (2013). Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine, Journal of Building Construction and Planning Research, 1 (1), 1-7.doi: 10.4236/jbcpr.2013.11001.
16. Shim, J. H., Kim, S. Y. (corresponding author)(2013). A Case Study on the Application of Computational Intelligence to Identifying Relationships between Land Use Characteristics and Damages Caused by Natural Hazards: A SVR Approach, International Journal of Software Engineering and Its Applications, 7(5), 45-54. ISSN: 1738-9984. http://dx.doi.org/10.14257/ijseia.2013.7.5.05
17. Kim, S. Y., Choi, H. B., Shin, Y., Kim, G. H., Seo, DS.(2013).Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete, Advances in Materials Science and Engineering (SCIE), 2013, Article ID 527089, 1-10, Special issue. ISSN: 1687-6822 (IF: 0.500)
18. Kim, S. Y., Seo, D. S., Moon, J. H., Shin, Y. S., Kim, G. H. (2013).Life Comparative Analysis of Energy Consumption and CO2Emissions of DifferentBuilding Structural Frame Types, Scientific World Journal, Civil Engineering (SCIE), 2013, Article ID 175702, 1-5. ISSN: 1537-744X(IF: 1.730)
19. Kim, S. Y., Shim, J. H.(2013).Combining Case-Based Reasoning with Genetic Algorithm Optimization for Preliminary Cost Estimation in Construction Industry, Canadian Journal of Civil Engineering(SCI) –ISSN: 0315-1468.doi: 10.1139/cjce-2013-0223. (IF: 0.472)
20. Kim, S. Y., Lee, B. Y., Kim, S. K., Kim, G. H. SustainabilityLife Cycle Cost Analysis of Roof Waterproofing Methods Considering LCCO2,Sustainability (SCIE) –Accepted

1. Kim, S. Y., Cho, S. S., Kang, K. I.(2003), A Study on the Analysis of Construction Grave Accident by Fault Tree Analysis Method, Proceedings of the Korean Institute of Building Construction Conference 2003, 23 (2), 583-586.
2. Kim, S. Y., Kang, K. I. (2004),A Study on the Construction Work to Reduce Vibration Effectto the Structure, Proceedings of the Korean Institute of Building Construction Conference 2004, 27-32.
3.