• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.177-188
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• 2021

In South Korea, with the advancement of the 'Port' project, the regeneration industry adapted to the modern economic development has been promoted, leading to construction around the port was also redefined. Therefore, through regeneration, the problem of image construction of buildings around the port has been re-examined, in which color is an important content of image construction. In this study, the exterior walls of abandoned factory buildings in the port area of Bongnaedong, Pusan were selected as the color research object and evaluated according to the characteristics of the regenerated factory buildings combined with the building color function. Technically, KSCP color analysis system is used for color analysis. In this way, the color plan for the exterior walls of the factory buildings is proposed to visually enhance the image of abandoned factory buildings and attract more attention, thus driving the regional economic development. The results of this study show that in order to adapt to the regional, industrial and commercial characteristics of the regenerated port space, the color hue, lightness, chroma and use area of the building can be changed to enhance the aesthetic value and enhance the inductivity and security.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.4
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• pp.83-90
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• 2011

The purpose of this study is to grasp the color situation of buildings on Urban Street, through the color image evaluation to research primary factors have an effect on color image preferences. A scope of this study is district of Sang Mu in Gwangju Metropolitan City. A method of study put out evaluation model after BIB test by photography, spot color. And performed Factorial Design, Multiple Regression Analysis through SD questionnaire. The result of this study show that color situation exceedingly used YR predominates, support, stress color, in the second place used predominate, support color is B, stress color is R. Luminosity showed middle luminosity 4.1~7.0, low freshness distribution. Color image was evaluated modern and cold image and appeared affirmative aspect clean, order, neat image and showed negative aspect stiff, flat image. And 'comfortableness', 'unification' had an effect on color image preferences The result of this study showed that color plan need to improve comfortableness, unification bring control into line color at building color image of urban street.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.1
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• pp.81-92
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• 2020

The purpose of this study was to examine the selection process of the marathon course and the progress of the related urban landscape design projects. The study revealed that the initially selected course of the downtown Namdaemum changed to the riverside course that runs around Gangnam and Han river. This change implied that showing the developed landscape of Seoul was much more considered than showing the traditional landscape of Seoul. The urban design plan had changed in 1986 after the marathon course was finalized. The development project of downtown was changed to Gangnam area including Teheran-ro. The city also redeveloped the substandard housing zones around the Olympic facilities. As a result, developed areas and modern apartments of the riverside was emphasized in international TV game broadcast. This embedded the industrialized and modernized image of Seoul to foreigners. Also, Koreans started to recognize the Han river as Seoul's representative landmark. Accordingly, Seoul succeeded in creating a modernized urban landscape image through the Olympic marathon course.

• Journal of architectural history
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• v.31 no.1
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• pp.41-50
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• 2022

Traditional wooden buildings deform over time and are vulnerable to fire or earthquakes. Therefore, traditional wooden buildings require continuous management and repair, and securing architectural drawings is essential for repair and restoration. Unlike modernized CAD drawings, traditional wooden building drawings scan and store hand-drawn drawings, and in this process, many noise is included due to damage to the drawing itself. These drawings are digitized, but their utilization is poor due to noise. Difficulties in systematic management of traditional wooden buildings are increasing. Noise removal by existing algorithms has limited drawings that can be applied according to noise characteristics and the performance is not uniform. This study presents deep artificial neural network based noised reduction for architectural drawings. Front/side elevation drawings, floor plans, detail drawings of Korean wooden treasure buildings were considered. First, the noise properties of the architectural drawings were learned with both a cycle generative model and heuristic image fusion methods. Consequently, a noise reduction network was trained through supervised learning using training sets prepared using the noise models. The proposed method provided effective removal of noise without deteriorating fine lines in the architectural drawings and it showed good performance for various noise types.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.217-218
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• 2021

The development of artificial intelligence in the field of construction and construction is revitalizing. The performance and development techniques of artificial intelligence are changing rapidly, but if you look at the cases of domestic construction sites, they are using technologies from 5 to 7 years ago. It is right to follow a stable method in consideration of commercialization, but the previous AI development method requires more manpower and time to develop than the current technology. In addition, in order to actively utilize artificial intelligence technology, customized artificial intelligence is required to be applied to ever-changing changes in construction sites. it is the reality As a result, even if good AI technology is secured at the construction site, it is reluctant to introduce it because there is no advantage in terms of time and cost compared to the existing method to apply it only to some processes. Currently, an AI technique with a faster development process and accurate recognition has been developed to cope with a fluid situation, so it will be important to understand and introduce the rapidly changing AI development method.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.1
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• pp.30-36
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• 2023

In this study, an image segmentation model that can evaluate surface porosity based on concrete surface images was derived. Three types of concrete specimens with different water-cement ratios (w/c = 54, 35, and 30%) were prepared, and 2,729 surface images were obtained using an optical microscope. Benchmarking tests, parameter optimization, and final model derivation were performed using the surface images, and an image segmentation model with 97% verification accuracy was obtained. The model was verified by comparing the porosity obtained from the model and X-Ray Microscope (XRM). The model provided similar porosity to that of XRM for the specimens with a high water-cement ratio, but tended to give lower porosity for specimens with a low water-cement ratio.

• Archives of design research
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• v.15 no.4
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• pp.263-274
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• 2002

This study aims to analyze the image of long-span structures. For the intention, it analyzes the relationship between images and physical attributions of elements such as materials, stresses, configurations, compositions and shapes of structures. The image of structures can represent following 5 factors; friendly-unfriendly, strong-weak, dynamic-calm, superior-inferior, and regular-irregular. The friendly-unfriendly in the image of structure mostly determines on a finished material and partly with a structural shape. The strong-weak in the image of structure determines on configuration of the structural members. The dynamic-calm in the image of structure determines on the structural shape. Hence the structure has dynamic forms when it seems to be open and sharp, namely when it receives the flow of forces in the structural shape, and it has a (-) gauss curved rate or an diagonal appearance. The superior-inferior in the image of structure determines on composition of structural elements. The structure seems to be superior is contributed not simply to support load but positively to create design as a tectonic element. From now on, this study can provide the useful information on the long-span structure design through the more appropriate analysis of the image.

• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.3
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• pp.29-38
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• 2010

르네상스 시대의 필리포 브뤼넬레치, 19세기의 쟝 니꼴라 루이 뒤랑, 근대 건축의 꾸르뷔지에, 귀세프 테라니, 밀르벤 데르호흐, 그리고 현대건축의 장 누벨과 같은 5명의 건축가의 예를 통해, 건축에서 늘 되풀이되어 나타나는 기하학적 형체로서의 이 격자무늬는 자신의 다면성을 보여준다. 합리적인 면은 그대로 간직한 채, 격자무늬는 순서대로, 균형잡힌 비율의 선, 축에 관한 구성체계, 조립식 건축의 구조, 합리주의의 상징, 건물의 배치와 크기를 결정하는 반복적인 조직망, 삼차원 공간에서의 프랙탈한 이미지로서 나타난다.

• Journal of the Korea Institute of Building Construction
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• v.17 no.6
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• pp.545-557
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• 2017

The study is about the efficient alternative to concrete surface in the field of visual inspection technology for deteriorated infrastructure. By combining industrial drones and deep learning based image analysis techniques with traditional visual inspection and research, we tried to reduce manpowers, time requirements and costs, and to overcome the height and dome structures. On board device mounted on drones is consisting of a high resolution camera for detecting cracks of more than 0.3 mm, a lidar sensor and a embeded image processor module. It was mounted on an industrial drones, took sample images of damage from the site specimen through automatic flight navigation. In addition, the damege parts of the site specimen was used to measure not only the width and length of cracks but white rust also, and tried up compare them with the final image analysis detected results. Using the image analysis techniques, the damages of 54ea sample images were analyzed by the segmentation - feature extraction - decision making process, and extracted the analysis parameters using supervised mode of the deep learning platform. The image analysis of newly added non-supervised 60ea image samples was performed based on the extracted parameters. The result presented in 90.5 % of the damage detection rate.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.45-53
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• 2022

The purpose of this study is to present a model for analyzing construction errors of reinforced concrete pile foundations using drones. First, a drone is used to obtain an aerial image of the construction site, and an orthomosaic image is generated based on those images. Then, the circular pile foundation is automatically recognized from the orthomosaic image by using the Hough transform circle detection method. Finally, the distance is calculated based on the the center point of the reinforced concrete pile foundation in the overlapped data. As a case study, the proposed concrete concrete pile foundation construction quality control model was applied to the real construction site in Incheon to evaluate the proposed model.