• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.33-38
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• 2016

Understanding of current features of collapsed buildings, terrain, and other infrastructures is a critical issue for disaster site managers. On the other hand, a comprehensive site investigation of current location of survivors buried under the remains of a building is a difficult task for disaster managers due to the difficulties in acquiring the various information on the disaster sites. To overcome these circumstances, such as large disaster sites and limited capability of rescue workers, this study makes use of a drone (unmanned aerial vehicle) to effectively obtain current image data from large disaster areas. The framework of 3D model reconstruction of disaster sites using aerial imagery acquired by drones was also presented. The proposed methodology is expected to assist fire fighters and workers on disaster sites in making a rapid and accurate identification of the survivors under collapsed buildings.

• Journal of the Korea Institute of Building Construction
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• v.9 no.3
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• pp.59-64
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• 2009

This study is to analyse the causes of accident in small and medium-sized construction sites and to provide prevention strategies and system improvement guidance. Although occupational safety and health act regulates the standards and installations of temporary structures, about an half of construction accidents were caused by poor temporary structures such as guardrails, scaffolds, work platforms, etc. It investigated 51 construction sites which is located in metropolitan area by asking a series of questions including their knowledge about regulations and opinions about prevention strategies. The result shows that many of the respondents do not have sufficient understandings about the regulations, and it implies that education and training must be reinforced in order to enhance the safety-awareness and to develop the comprehension of regulations.

• Journal of architectural history
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• v.32 no.2
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• pp.21-35
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• 2023

The purpose of this study is to develop a method for establishing an educational system for World Heritage interpretation applicable to World Heritage sites and to design an education program for World Heritage interpretation by applying the developed education system in this study. This study first identified the definition of interpretation and the relationship between interpretation and education through previous research and analyzed the role and significance of heritage interpretation due to the paradigm transition in the capacity building of World Heritage sites. Next, the educational status of World Heritage interpretation was analyzed through educational institutions, educational subjects, and curriculum examples. Finally, this study argues that a method for establishing a World Heritage interpretation education system should be presented according to the composition of the curriculum, and the interpretation curriculum planning by interpreters should be proposed focusing on the Outstanding Universal Value (OUV) of World Heritage sites.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.225-226
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• 2022

The construction industry, which has a labour-intensive and conservative nature, is exclusive to adopt new technologies. However, the construction industry is viably introducing the 4th Industrial Revolution technologies represented by artificial intelligence, Internet of Things, robotics and unmanned transportation to promote change into a smart industry. An image-based artificial intelligence technology is a field of computer vision technology that refers to machines mimicking human visual recognition of objects from pictures or videos. The purpose of this article is to explore image-based artificial intelligence technologies which would be able to apply to the construction sites. In this study, we show two examples which is one for a construction waste classification model and another for cast in-situ anchor bolts defection detection model. Image-based intelligence technologies would be used for various measurement, classification, and detection works that occur in the construction projects.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.55-56
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• 2020

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.203-204
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• 2023

The construction industry is a hazardous environment in which many field workers work. Therefore, there is a limit to the safety manager's grasp of all situations. In order to solve these problems, the application of automatic control technology in connection with AI and CCTV is being introduced, and the development of intelligent CCTV to reduce the safety accident rate is actively progressing. This study seeks to present future directions by identifying the current status of intelligent CCTV developed to reduce the safety accident rate at construction sites and analyzing its limitations. Through this, the range of accident prevention types of the safety control system at the construction site will be confirmed and the need for future intelligent CCTV function development will be suggested.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.205-206
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• 2023

This paper presents a new method for indoor localization track workers in construction sites. While GPS and NTRIP are effective for outdoor positioning, they are less accurate when used indoors. To address this issue, the proposed method utilizes Aruco markers to measure the distance between workers and the markers. By collecting data values, the location of each worker can be determined in real-time with high accuracy. This approach has the potential to enhance work efficiency and safety at construction sites, as it provides more precise indoor positioning compared to conventional methods, leading to improved work efficiency.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.383-384
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• 2023

Using the CSI(Construction Safety Management Integrated Information) data, a comparative analysis was conducted by work type and construction cost according to whether the construction sites were subject to making a safety management plan or not. As a result, by type of work, the ratio of deaths in non-plan sites was high in mechanical facilities and earthworks, and the operation performance of the system was much higher in sites that were less than 5 billion won of construction cost.

• 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.

• Magazine of the Korean Society of Agricultural Engineers
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• v.32 no.4
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• pp.45-52
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• 1990

Government has propelled strongly the Agricultural - cum - Industrial region development project in the nation wide. This project will not only provide employment opportunity for rural inhabitants, but also be designed to activate the rural economy. In addition, it will lead to a balanced development between the urban and rural areas. Under this project, building sites of 3 to 30 hactres will be established in the rural area in order to settle factories which are suitable to the rural condition. In this report, the researches which relating to the achievement conditions of planning, design and constructions of the building sites and the contribution conditions of Agri. - cum - Industrial Region development projects, activated to the rural economy and regional development in the Kyungpook regional areas, were surveyed and studied. On the average evaluation studies the results are as follows : 1. The achievement conditions of the planning, design and construction of the building sites. Very good 27.0 % Good 47.0 % Fair 24.0 % Poor 2.0 % 2. The contribution conditions of the Agri - cum - Industrial factories managements. Very good 17.0 % Good 41.0 % Fair 32.0 % Poor 10.0 %