• Journal of the Korea Institute of Construction Safety
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• v.2 no.1
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• pp.9-15
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• 2019

Despite the efforts for enhancing the safety record, construction industry has been suffered from higher fatalities than other industries. The poor record of safety in construction industry means that there is a clear need for an effective countermeasure. As mentioned in previous studies, it is important to identify the type of activities or risks that are likely to cause accidents and to develop appropriate safety measures. Considering the large number of accident cases on the temporary installations including work platforms and work passages, the temporary installations should be managed first. To support it, this study aims to analyze falling accident cases on construction working platforms and passages which can lead to develop proper safety measures. Through the analysis of 1663 accident cases in the perspective of cost, progress, activity, and type of workers, this study identifies how the recent accidents occur and what is the cause of the accident occurrence. The identified causes of accident occurrence will help us to improve current construction safety.

• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.50-60
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• 2020

Estimates of project costs in the early stages of a construction project have a significant impact on the operator's decision-making in important matters, such as the site's decision or the construction period. However, it is difficult to carry out the initial stage with confidence because information such as design books and specifications is not available. In previous studies, case-based reasoning was used to predict initial construction costs, and genetic algorithms were used to calculate the weight of the inquiry phase among them. However, some say that it is difficult to perform better than the current year because existing genetic algorithms are calculated in random numbers. To overcome these limitations, correlation numbers using correlation analysis rather than random numbers are reflected in the genetic algorithm by method of local search, and weights are calculated using a hybrid genetic algorithm that combines local search and genetic algorithms. A case-based reasoning model was developed using the weights calculated and validated with the data. As a result, it was found that the hybrid GA-CBR applied with local search performed better than the existing GA-CBR.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.1007-1015
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• 2014

The importance of construction waste reusing and recycling is becoming increasingly large because the demolition industry is in current trend to pursue for sustainable growth. As the considering situation of the domestic housing construction and existing house, a scale of demolition industry is expected to be increased continuously. But the related cost regulations that are used in tendering in the demolition industry are insufficient, also the computer system for estimating the demolition costs have not been developed yet. Therefore, in this study suggests man-hours of 21EA items which are utilized to estimate demolition cost and work rate of $1.0m^3$ breaker which is used mostly in domestic demolition industry after analyzing a case study for deconstruction works. The computer system is developed for the estimating demolition cost easily, which are including five modules such as a project information, a unit cost management, a standard unit cost table, a bill of quantity, and a reporting system. This computer system is possible to apply for estimating cost of both mechanical demolition and blasting demolition. The biggest advantage of this system is to estimate cost to utilize standard WBS which is linked with standard unit table and each DB. This can help unskilled users use easily for it.

• Korean Journal of Construction Engineering and Management
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• v.13 no.2
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• pp.48-57
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• 2012

A variety of studies on concrete have been performed to examine the advantages for structural material, but less attention has been paid to the contribution of concrete to finishing. Due to this matter, specific management guidelines for construction and quality on exposed concrete have not been clearly established despite more construction cost and quality control are required. This study analyzed a impact factors on the quality by survey of the existing research and practice. Field tests were performed using mock-up models to analyze the quality of exposed concrete according to form manufacture method, concrete mix proportion, and concrete placing method. Results indicate that the quality of exposed concrete was determined by concrete mix proportion and construction managements. Guidelines of quality control on exposed concrete in construction stages were proposed.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.66-73
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• 2023

The construction industry suffers losses due to failures in demand forecasting due to price fluctuations in construction raw materials, increased user costs due to project cost changes, and lack of forecasting system. Accordingly, it is necessary to improve the accuracy of construction raw material price forecasting. This study aims to predict the price of construction raw materials and verify applicability through the improvement of the Data Refactor technique. In order to improve the accuracy of price prediction of construction raw materials, the existing data refactor classification of low and high frequency and ARIMAX utilization method was improved to frequency-oriented and ARIMA method utilization, so that short-term (3 months in the future) six items such as construction raw materials lumber and cement were improved. ), mid-term (6 months in the future), and long-term (12 months in the future) price forecasts. As a result of the analysis, the predicted value based on the improved Data Refactor technique reduced the error and expanded the variability. Therefore, it is expected that the budget can be managed effectively by predicting the price of construction raw materials more accurately through the Data Refactor technique proposed in this study.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.24-32
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• 2022

In Korea, the productivity of the construction industry is evaluated at a very low level, and the utilization of the elemental technology of the Fourth Industrial Revolution is also very low compared to other industries. In order to solve this problematic situation, it is necessary to identify the demand for technology improvement in the specialty construction industry that is directly in charge of construction in projects. Therefore, this study aims to investigate improving construction competitiveness and the demand for technology improvement in Korea's specialty construction industry. First, the concept and status of classification of the specialized construction industry were identified, and a questionnaire was organized. Second, a survey was conducted on experts construction experts, and the demand for technical improvement of the specialty construction industry was derived by applying AHP and cluster analysis. The results of this study will serve as a practical reference for policy development, R&D direction, and technology development roadmap to enhance construction competitiveness in the future, and ultimately will help to present directions to improve the construction competitiveness of the construction industry.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.36-46
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• 2021

With an increasing trend toward high-rise modular construction, the simultaneous use of tower cranes at a modular construction site has recently been observed. Tower crane layout planning (TCLP) has a significant effect on cost, duration, safety and productivity of a project. In a modular construction project, particularly, poor decision about the layout of tower cranes is likely to have negative effects like additional employment of cranes and redesign, which will lead to additional costs and possible delays. It is, therefore, crucial to conduct thorough inspection of field conditions, lifting materials, tower crane capacity to make decisions on the layout of tower cranes. However, several challenges exist in planning for a multi-crane construction site in terms of safety and collaboration, which makes planning with experience and intuition complicated. This paper suggests a multi-objective optimization model for selection of the number of tower cranes, their models and locations, which minimizes cost and conflict. The proposed model contributes to the body of knowledge by showing the feasibility of using multi-objective optimization for TCLP decision-making process with consideration of trade-offs between cost and conflict.

• Korean Journal of Construction Engineering and Management
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• v.19 no.2
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• pp.61-72
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• 2018

Conflicts in public construction projects lead to increase social costs as well as construction costs and schedule delay. Therefore, it is important to evaluate the conflict in construction project and find appropriate solutions based on previous cases. In this research, the conflict factors and criteria for evaluating conflict are derived and 30 cases are evaluated by 11 conflict experts. Using k-means clustering, the cases are clustered by three clusters. The cases were analyzed according to the characteristics of each cluster and labeled as 'NIMBY and harmful facility conflict cluster', 'environmental and pollution conflict cluster', and 'PIMFY and small conflicts'. In the future, when conflict occurs in the public construction projects, the conflict can be evaluated using this clustering and the characteristics of the conflicts can be found. As a result, it will be helpful to mitigate the conflict quickly and effectively by looking for previous cases that are suitable for resolving the conflict through appropriate clusters.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.262-262
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• 2017

새만금 유역의 농업비점오염원은 총수질오염원의 68%로 많은 비중을 차지하고 있다. 이는 새만금 유역의 농업비점오염원을 제어하지 못하면 새만금 담수호의 수질에 악영향을 미친다는 의미이다. 또한, 국내 논 용수 이용량은 국가수자원 총 이용량의 40.5%으로 많은 비중을 차지하고 있다. 이에 따라서 논 배출수의 수량 및 수질관리가 농촌 비점오염 물질 관리에 매우 중요하다. 현재 많은 연구자들이 농촌 비점오염 물질을 저감하기 위하여 다양한 최적관리기법에 대한 실험을 실시하였다. 그러나 대부분 시험포를 조성하고 제한된 실험조건에서 효과를 검증한 연구 결과로 실제 농민에게 최적관리기법을 보급하여 그 효과를 검증한 연구는 미흡한 실정이다. 따라서 본 연구에서는 새만금유역 내 논에서 실제 영농활동을 실시하고 있는 농민들에게 최적관리기법 중 하나인 물꼬장치를 보급하고 물꼬 높이를 조절하게 함으로써 농민 스스로 비점오염물질을 저감 할 수 있도록 장려하였다. 연구 대상지점은 전라북도 부안군 백산면 용계리 일대 논이며, 연구 기간은 5월부터 9월까지로 영농 활동기를 대상으로 모니터링을 실시하였다. 물꼬 높이 조절은 중간낙수기 이전은 7 cm, 중간낙수 이후와 비영농기에는 물꼬 높이를 12 cm로 높여서 유지하도록 하였다. 농민 스스로 물꼬 높이를 조절하여 비점오염물질을 저감할 수 있도록 물꼬 보급 이후 정기적으로 교육을 실시하였다. 이후 영농 활동기별 유출량을 비교한 결과 관행 대비 평시 14%, 써레질 및 이앙기 3%, 강우시 15%, 중간낙수 기간에는 11%, 완전 물떼기 기간에는 10%의 저감효과가 있는 것으로 나타났다. 그러나 각 필지별 농도 및 오염부하 비교 결과 배수물꼬 적용에 따라 통계적으로 유의한 결과를 나타내지는 않았다. 배수물꼬 장치를 설치할 경우 유출량을 저감에는 큰 효과가 있었으나 농도를 줄이는데 에는 한계가 있는 것으로 나타났다. 하지만 본 연구 결과는 2016년 1년간의 짧은 연구기간동안의 자료이므로 추가적인 장기모니터링 연구를 통해 더 많은 자료구축이 필요하다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.349-352
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• 2003

Using EVMS can probably cause lots of confusion under the different systems and different circumstances of the construction industry between Korea and The United States, because The United States has wide experience in applying to EVMS during several decades but Korea has not. Therefore this research deals with the problem about Performance Indices in forecasting EAC(Estimate at Completion) among the problems of using EVMS. A target index of testing in this research is the Performance Indices used in the research at home and abroad in the past and those is applied to APT projects within the country with statistical method. Through this method, we can catch the tendency and the properties of the Performance Indices for applying to Korea.