• Journal of the Regional Association of Architectural Institute of Korea
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• v.21 no.6
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• pp.65-71
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• 2019

In Korea, there is a lack of adequate safety management for small-scale construction work, particularly when compared to large-scale construction projects. The number of construction disasters is also higher on small-scale construction sites. In this regard, this study aimed to develop the application prototype to support the safety management of small-scale construction projects. The major findings of the research are as follows. 1) About 60% of construction disasters and death occurred on small-scale construction sites over the last two years. In addition, institutional support and costs for safety management were found to be insufficient. 2) The items of the application for the small-scale construction safety management were constructed on the basis of the safety management of large-scale construction work. The contents of the application were confirmed based on a survey of small-scale construction project managers. 3) The application algorithm was developed with a focus on the roles of management subjects and information exchange. For transition from the application prototype presented in this study to a commercial product, further research needs to be conducted regarding the reflection of user requirements and application management subjects.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.347-348
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• 2023

In construction sites, small-scale construction quantities or limited work hours below the daily work volume may occur due to on-site conditions. For small-scale quantities, the input of equipment and labor is designed based on an hourly basis in the invoice, resulting in a difference from the actual cost. In this study, we aim to explore solutions from the perspective of construction cost standards to secure appropriate construction costs for small-scale and time-limited construction sites. Firstly, to preserve the basic construction costs on-site, we established standards where half the cost would be charged for construction quantities below four hours and a full day's cost would be designed for construction quantities between four to eight hours. Additionally, realistic construction cost calculation standards are expected to be provided by realizing a surcharge rate for work hour limitations to secure appropriate construction costs.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.247-248
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• 2016

Globally the interest of large-scale structure has been increasing for the use in various social and cultural events. However various problems for building large-scale structure in South Korea are expected in terms of construction method and site management due to the lack of experience. Construction method and planning significantly affects on making decisions. There are only theoretical approach for constructing large-scale building in domestic with the limited experience of constructing constrained size structure. Through Analytic Hierarchy Process with experts, derived decision factors mostly used construction method in construction of large-scale structure. Derived factors from this study will support making decisions for field management in constructing large-scale structure.

• Journal of the Korean Society of Safety
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• v.29 no.4
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• pp.42-47
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• 2014

This paper is aimed to investigate and analyze of characteristic for electrical equipment and work environment for the small-scale site. In order to investigate and analyze electrical equipment and work environment for preventing electric shock disaster in construction sites, 50 small-scale construction sites and 12 large-scale construction sites are selected. This paper completed site investigations of low-voltage equipment and the portable electric machine and equipment in 12 large-scale construction sites and 50 small-scale construction sites. The findings were about the electric shock environment relevant to the ground-relevant equipment, the panel board, the protection tools, the sockets, the temporary wiring system, the portable and movable electric machines and equipments in small-scale construction sites. Finally, this study analyzed the domestic and foreign relevant standards and regulations and these findings can be utilized as educational data warning electric shock risk caused by electric equipment in small-scale construction site.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2002.11a
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• pp.295-300
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• 2002

Since the contents of large-scale repair of a condominium were various, a plan document was not prepared. The owners association of the condominium has given priority to decision-making of price priority over quality. Examination is not performed about the contents of the construction supervision business, which checks whether suitable construction is performed, either. On the other hand, the know-how for builders, such as decision of the process plan under which the repair work lessens influence to the safety and life as much as possible since the place where the resident is living turns into a construction site, and selection of a method of construction, is just going to ask. It is an important subject how the structure of the construction contractor selection, which considered quality, is built. Then, this research focuses on large-scale repair construction of the condominium, and arranges the actual condition of a series of processes from plan document creation to construction supervision. The method of research collects the construction documents of the condominium that carried out Barge-scale repair construction. Next, collection arrangement of the data of construction builder selection is carried out. The method of the construction builder selection of those other than a construction price is examined. The method of quality control of large-scale repair construction is examined.

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.831-839
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• 2023

This study aims to develop a framework for an accident prediction model leveraging a deep neural network algorithm, specifically tailored for small-scale construction sites. Notably, the incidence of accidents in the construction sector is markedly higher compared to other industries, with a significant contribution from small-scale sites. The challenging nature of construction in urban settings, coupled with the increasing frequency of adverse weather conditions, is likely to escalate accident risks at these sites. Anticipating and mitigating accidents at small-scale construction sites is therefore crucial to decrease the overall industry accident rate. Consequently, this research introduces a Deep Neural Network-based model for forecasting accidents at small-scale construction sites. The framework and findings of this study are poised to serve as a guideline for the safety management of small-scale construction projects, ultimately aiding in the realization of safer, more sustainable construction practices at these sites.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.354-360
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• 2009

The demands for large-scale construction projects such as Mega-projects are largely increasing due to the rapid growth of increasing populations as well as the need to replace existing buildings and infrastructure. Increasing costs of materials, supplies, and labors require the first cost estimates at the preliminary planning stage to be as accurate as possible. This paper presents the results obtained from the survey on evaluating nine critical success factors that influence the accurate first cost estimates for large-scale projects from practical experiences. It then examines the current cost structures of construction companies for large-scale projects, followed by the causes for cost and schedule overrun. Twenty completed surveys were collected and the Analytic Hierarchy Process was applied to analyze the data. The results indicate that technology issues, the contract type, and social and environmental impacts are the significant leading factors for accurate first cost estimates of large-scale construction projects.

• Journal of the Korea Institute of Building Construction
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• v.15 no.3
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• pp.307-316
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• 2015

As there are a lot of differences in the public building construction cost depending on the construction scale of actual construction cost system, a lot of problems occur in the estimation of the cost. So, the development of a predictive model depending on the construction scale shall be used in a way that it is applied to the case selectively and differently. This study drew a cost estimating model through a regression analysis. For this, 42 construction sites which were ordered during 2011 to 2012 by Public Procurement Service data were selected as a historical data. Based on the application of the model to new construction and the verification of its effect, the reasonable model for estimating the construction cost has been suggested.

• Journal of the Korea Institute of Building Construction
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• v.15 no.3
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• pp.339-349
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• 2015

A large-scale research project to develop a robot-based automated building construction system for steel structures was successfully conducted in South Korea. This paper discusses the results of the real-scale test and the key lessons gained from the testing process. The system was assessed in terms of system productivity, construction cost, quality control, and safety improvements. While the productivity of the automated system showed an improvement of about 9.5%, the construction cost was about six times higher than that of the conventional method. The field test also indicated that the automated system requires more on-site quality control measures. However, because the system can eliminate the causes of various safety accidents, safety levels might be expected to be improved significantly. It is expected that this paper will provide knowledge and insight for developing new systems, and the results of the real-scale test might be useful for other researchers and similar research projects in the future.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.723-727
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• 2015

Building energy use estimation relies on building characteristics, its energy systems, occupants, and weather. Energy estimation of new buildings is considerably an easy task when compared to modeling existing buildings as they require calibration with actual data. Particularly, when energy estimation of existing building stock is warranted at a city-scale, the problem is exacerbated owing to lack of construction drawings and other engineering specifications. However, as collection of buildings and other infrastructure constitute cities, such predictions are a necessary component of developing and maintaining sustainable cities. This paper uses Artificial Neural Network techniques to predict electricity consumption for residential buildings situated in the City of Gainesville, Florida. With the use of 32,813 samples of data vectors that comprise of building floor area, built year, number of stories, and range of monthly energy consumption, this paper extends the prediction to environmental impact assessment of electricity usage at the urban-scale. Among others, one of the applications of the proposed model discussed in this paper is the study of urban scale Life Cycle Assessment, and other decisions related to creating sustainable cities.