• Korean Journal of Construction Engineering and Management
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• v.23 no.6
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• pp.89-100
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• 2022

The development of the Construction Production Rates System for appropriate construction cost calculation has recently come to the fore as a means of invigorating OSC based PC structure which currently needs institutional frameworks. PC structure based construction expenses consist of the factory-built assembly, transportation and on-site installation. Recently, in the field of transportation and site installation, research on product structure development is being conducted, such as presenting the standard product calculation system reflecting the results of field survey for each subsidiary materials (Lee et al., 2021). On the other hand, there is no ongoing research on estimating construction expenses of Factory-built assembly. This study suggests Construction Production Rates System which can be used for PC subsidiary materials based Factory-built assembly cost estimations. For the research, work types for the construction procedures have been categorized, and the standard input manpower suitable for the corresponding work characteristics has been derived from analyzing the associated Construction Standard Production Rates for each work type. Also, as the research referred PC subsidiary materials (such as columns, beams, walls, and slab, as well as on-site installation) and the standard number of workforce based on work types, one can calculate direct labor cost, using what the research shows. In addition, it suggests that the size of individual subsidiary materials be the extra cost factor, by using the characteristics that productivity changes depending on the size(m³) of subsidiary materials. It is expected that the research can contribute to objectively verifying factory-built assembly cost through of PC structure, which currently relies on estimates.

• Journal of the Korean Society of Safety
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• v.15 no.4
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• pp.101-111
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• 2000

In order to introduce P.S.M. system adequate to domestic construction first, many cases similar to advanced foreign P.S.M. system have been collected and compared to the domestic situation. Then, the current safety management status of bridges, subways, apartment and office building construction are investigated while visiting interview, using questionnaire at site have being done. The potential hazard and measurement have been investigated for each kind of works, and the domestic introducing method of P.S.M. system is analyzed with expert discussion. In order to represent how to make out P.S.M. plan, the questionnaire is made out using each five place for bridge, subways, apartment and office building. As the weight factor for potential hazard of each work obtained from more than forty site places, is produced and shown. Also, a direction the recommendation is suggested to improve tool in each construction site with work schedule. It is thought that proposed schedule contributed to keeping in safe business administration of each company in decreasing many effort at the construction site.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.165-166
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• 2023

Construction inspection and monitoring are key activities in construction projects. Automation of inspection tasks improves the limitations and inefficiencies of manual construction inspections, enabling systematic and consistent construction inspections. In this paper, an RTSP (Real-Time Streaming Protocol) system is used to remotely manage and supervise the construction site without having to visit the construction site by deploying a robot on site on behalf of four construction stakeholders (owner, supervisor, constructor, and designer). I would like to propose. The proposed system can contribute to identifying and monitoring the process process and work results at the construction site in real time.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.40-46
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• 2015

This study presents the results of our analysis and recommendations for process and productivity improvements. The project studied consists of a 5-story research building, with a structure of steel frames supporting concrete slabs. The observations focused on the analysis of the overall erection and framing process. The methods used for the analysis consisted in intensive visits on site, where construction processes were observed in term of resources, activities, durations, materials' handling procedures, and technology used. Back to the office, authors used the information captured to model the different trades' activities, using work sampling and 5-minute rating technique. The work sampling provides insight into the activity, hence allowing for process improvements. The productivity of various trades is strongly dependent on the organization of the work process and work site conditions. Improving the productivity of the entire project or company is not possible until everyone is committed to improvement.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.221-222
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• 2021

Conventionally, in material management at a construction site, the type, size, and quantity of materials are identified by the eyes of the worker. Labor-intensive material management by manpower is slow, requires a lot of manpower, is prone to errors, and has limitations in that computerization of information on the identified types and quantities is additionally required. Therefore, a method that can quickly and accurately determine the type, size, and quantity of materials with a minimum number of workers is required to reduce labor costs at the construction site and improve work efficiency. In this study, we developed an automated convolution neural network(CNN) and computer vision technology-based rebar size and quantity estimation system that can quickly and accurately determine the type, size, and quantity of materials through images.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.77-85
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• 2014

A construction temporary work is main process and importance trade section. It has many works and facilities such as temporary transfer equipments which tower crane, and lift, and architectural temporary facilities which temporary office, temporary warehouse, and site test laboratory, and construction temporary equipments which scaffoldings, work plates, construction supports, and forms to set and to use in under construction and to remove in the end. A technology system of construction temporary has very low availability of field works and needs improvements in Korea as construction site has a quick response about new requirements. This study is organized existing technology systems and new technologies for field works, and developed breakdown structure of construction temporary technologies to be a basic of temporary technologies as review with site managers. For this, it will improve to be a knowledge and information system as a research of a performance and an availability about a construction temporary technology index.

• Journal of the Korean Society of Safety
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• v.9 no.1
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• pp.110-120
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• 1994

The Quantitative analysis for collapsion probability of each construcion work has not been developed, despite of that the one for safety management itself has been reported, up to now. It is concluded that showing critical check points against structure collapsion due to each work at construction site, and Quantifying those could be useful Quality-assuring tool, not to prevent Quality failure. Risk classes of each work at construction site, classified by German Builders Mutual-Aid Association (GEBMAS), and by special instruction rates of Korea Insurance Development Institute, are introduced to compare with the results of this study. As of a study method, total 2,002 sheets of questionwares are distributed directly to new city development areas, which are called, Ilsan 110 points : Pundang 79points and Chungdong 38points, including additional Changwon 125sheets and pusan 60sheets, by four(4) people, for contact with actual site engineers. Total responses of 1,056 sheets, are collected. Interrelationship diagram between experience years of Engrs., and risk rate of responses are also classified, with the criteria of four(4) years. Domestic journals with relation to construction have reported that main building Structure collapsions are mainly shown on apartment buildings and office ones. These two(2) building structures are again classified as five(5) kinds of works. This study takes use of an approach on haying the risk rates for each construction work on the above individual construction work. Additionally, site investigations have been performed to find out any possible unreasonable check items, due to construction method ; Reinforced Concret structure, Pre cast Concrete structure, and Steel structure building. Developed Quality Assurance Analysis Form with the Quantitative danger class, resulted from this study, are verified as it is able to be a good efficiency tool against collapsion of building structures.

• Journal of KIBIM
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• v.11 no.2
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.170-171
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• 2015

Resource procurement and material handling are considered as a significant part of construction project especially in large or tall building construction site. There are multiple variables that must be considered in a construction site during finishing work such as movement of materials, equipments, and workers. Therefore, it is difficult for construction workers to find the material handling path solely by intuition. The aim of this study is to propose a real-time path finding model suitable for complicated logistics flow in the field. The model explores the optimal transport path of finishing material with its basis on optimization algorithm, and it determines the direction of the Smart Sign. The proposed model is expected to be utilized for planning of efficient finishing material handling.

• Journal of KIBIM
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• v.8 no.1
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• pp.24-32
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• 2018

A construction machine guidance system is an assistance system that helps construction equipment operators dig grounds during excavation work at a construction site. This system has long been applied in the overseas countries of the United States, Japan and Europe. However, the system has not been paid much attention in Korea. The objective of this paper is to present a business model for adopting construction machine guidance systems in Korea and evaluate the effectiveness of applying the system to excavation work. The business model in this study shows a new process of applying construction machine guidance system, business stakeholders and revenues, and suggests the benefits to the business stakeholders. A field test of the construction machine guidance system proves that the system can be applied as a tool that can improve the productivity of excavation work. This productivity improvement consequently demonstrates that the business model in this study is a prospective challenge in improving the effectiveness of excavation work at the construction site.