• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.5
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• pp.76-90
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• 2011

As most landscape drawings tend to be recorded in electronic format, the need for layer standards is growing. While the categorization system of planting drawings has been progressing, landscape facility drawings are being delayed. So, the purpose of this study was to establish the categorization system of computerized landscape facility drawing documents. In the beginning of this study, it found that the layer categorization system of "The Standards of Construction CALS/EC computerized drawings v1. 1" and "The submit instructions of electronic design documents" are not suitable for the landscape facility drawings. 1,154 drawings drawn by 10 landscape architect offices were used to analyze the current layer categorization status. As a result, it found that "The Standards of Construction CALS/EC computerized drawings v1. 1" were not introduced in landscape facility drawings and 46% of layers were produced indefinitely. The new layer categorization system consisting of 15 facility items was drawn by applying the ISO construction information categorization system. The new layer categorization system is set on the basis of the legal code, landscape design standards, and design guidelines of public institutions. This new layer categorization system is expected to propagate at the landscape architect offices in the early.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2017.05a
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• pp.235-236
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• 2017

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.30-40
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• 2015

Two-dimensional drawings are widely used as a communication tool in the construction industry, but they are still hard to be understood by engineers with less experience. A four dimensional CAD drawing is presented based on marker-based augmented reality, for visual assistance, detailed information, and prevention of misunderstanding among users. The developed drawing enables the users to easily understand its contents through the functions augmenting components, providing detailed construction information, and simulating construction process, using the marker in a 2D drawing. A questionnaire-based survey validates the capability of the developed drawing that it improves inexperienced engineers' understanding of the drawings.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.227-228
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• 2022

In order to achieve the goal of cost management, which is one of the three major management goals of building production, this paper introduces an approximate cost estimating automation technology in the design stage as the importance of predicting construction costs increases. BIM is used for accurate estimating, and the quantity of structural members and finishing materials is calculated by creating a 3D model of the actual building. However, only 2D basic design drawings are provided when making an estimating. Therefore, for accurate quantity calculation, digitization of 2D drawings is required. Therefore, this research calculates the quantity of concrete structural members by calculating the area for the recognition area through 2D drawing recognition technology incorporating computer vision. It is judged that the development technology of this research can be used as an important decision-making tool when predicting the construction cost in the design stage. In addition, it is expected that 3D modeling automation and 3D structural analysis will be possible through the digitization of 2D drawings.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.181-182
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• 2014

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.391-401
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• 2022

As deep learning-based object detection and recognition research have been developed recently, the scope of application to industry and real life is expanding. But deep learning-based systems in the construction system are still much less studied. Calculating materials in the construction system is still manual, so it is a reality that transactions of wrong volumn calculation are generated due to a lot of time required and difficulty in accurate accumulation. A fast and accurate automatic drawing recognition system is required to solve this problem. Therefore, we propose an AI-based automatic drawing recognition accumulation system that detects and recognizes steel materials in construction drawings. To accurately detect steel materials in construction drawings, we propose data augmentation techniques and spatial attention modules for improving small object detection performance based on YOLOv4. The detected steel material area is recognized by text, and the number of steel materials is integrated based on the predicted characters. Experimental results show that the proposed method increases the accuracy and precision by 1.8% and 16%, respectively, compared with the conventional YOLOv4. As for the proposed method, Precision performance was 0.938. The recall was 1. Average Precision AP_0.5 was 99.4% and AP_0.5:0.95 was 67%. Accuracy for character recognition obtained 99.9.% by configuring and learning a suitable dataset that contains fonts used in construction drawings compared to the 75.6% using the existing dataset. The average time required per image was 0.013 seconds in the detection, 0.65 seconds in character recognition, and 0.16 seconds in the accumulation, resulting in 0.84 seconds.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.194-195
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• 2014

In modern building, it is constructed with non-uniform complex design. These buildings can't be expressed in 2-D drawings, and it requires shown in 3-D. So, BIM is necessary to communicate between a designer and constructor, and it prevents misunderstanding of drawings. Especially, to design and construct these non-uniformed buildings, BIM needs knowledge and know-how of structure engineer. BIM should fully include construction process information which satisfy constructors so it leads to success in construction market. In this Thesis, I show some example of BIM efficiency to construct non-uniformed large scale building.

• Spatial Information Research
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• v.18 no.5
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• pp.47-54
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• 2010

Until recently, GIS technology was mainly based on 2D for disaster management. Necessity of 3D spatial information came to the fore with a speedy and accurate response system in disaster management. However, most fire-fighting facilities presently use CAD with 2D formation, Image drawings, and conception of construction data's formation. It is not about the drawings in map production. It's about varieties of construction ways or contents. In this study, we are proposing the ways on analyzing the existing disaster management targets for 2D technology drawings, designing the 3D spatial information data model, and transforming the effective 3D spatial information into algorithm and dimension spatial information construction for easily building on mass 2D architectural drawings to 3D spatial information effectively in disaster management. We can maxim ize efficient construction time and expenses. Then what is proposed in this study about constructing 3D spatial information for manual work, and it's significance for improving decisive decisions and utilizing the tasks to prevent, prepare, respond and restore steps in disaster management.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.9
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• pp.89-99
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• 2019

In the representation of buildings with continuous changes in the curved shape of the surface, countless plans or sections are required, or none of the traditional drawings can explain the geometry of it. In other words, in no case can an ordinary drawing achieve the efficient and clear communication capability which is inherent function of the drawings. As a result, the current architects are introducing their own way of drawing technique which is developed in accordance with a specific curved shape, construction method or company resources, but this is not what can be applied to other cases because it has not been ever shared or agreed in the industry. In this process, the drawing or construction of curved building has been recognized as the exclusive property of a specific expert, or the design and construction without the in-depth understanding of the technology have resulted in the appearance of poor buildings. Therefore, this study aims to present an elements and method that can convey shape information more effectively and clearly in the drawing representation of non-linear buildings and, thus, contributes to lowering the barriers to entry into the field by providing the information to be easily applied to related projects. In order to attain this goal, the drawings of recently completed projects of free form building are analyzed to reveal the method used to effectively express the shape information of the building and to derive new drawing elements that have not been applied to the existing drawings.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.2
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• pp.29-36
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• 2022

This study analyzed the effects of building and greenhouse structural code on the structural design and the greenhouse construction cost. The over-design possibility of greenhouse was analyzed when building structural code was applied using standard smart greenhouse drawings. The possibility of decrease in greenhouse construction cost was investigated if the currently applied building structural code was replaced with greenhouse structural code. As a result of comparing the member sizes with the standard drawings, building structural code was designed with 13%~74% more steel than greenhouse structural code. When building construction estimate was replaced with greenhouse construction estimate, it was possible to reduce the total construction cost of the glass greenhouse by 17% and that of the vinyl greenhouse by 14%. Since there is no standard construction estimate suitable for greenhouses, the wage unit price is set excessively, and the construction cost of the smart greenhouse is increasing. In conclusion, it is necessary to establish greenhouse structural code and greenhouse construction estimate to lower the greenhouse construction cost.