• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.1
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• pp.159-169
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• 2012

Seokgasan(石假山) is originated in Goryeo, is a Korean traditional technique handed down to Joseon and Seokgasan is the Korean creative culture of gardening by artificial stones, which replicates small artificial mountain of natural landscape in the garden. The object of this study is Seokgasan made by Seong-im(成任), who was a civil minister in Joseon and lived from 1421 to 1484, in his residence located in Inwang Mountain, Hanyang and the purpose of this study is to investigate the historical meaning and symbol of Seokgasan made by Seong-im on the base of the relative old literatures and embody its shape and structure. According to the result of this study on Seokgasan of Seong-im, it can find out some facts as follows; Seokgasan of Seong-im in the early Joseon succeeded to the structural form of Seokgasan of the artificial rock mountain type connected pond, which was made-up firstly in the garden of the Palace of Manwoldae in the Middle Goryeo, and it was called firstly as 'Seokgasan' in the garden of Seong-im's house. Seong-im's Seokgasan in the early Joseon had more concentrated philosophical meanings, including the idea of taoist immortal, than those in the Goryeo dynasty and was be emblematic of an imaginative space. Also there were lots of gardens modeled on the famous mountains and famous lakes in China much the same as the Goryeo dynasty. In addition, there was an exceptional purpose for building Seokgasan which could not be found in the Goryeo dynasty. That was practicality for emotional stability and cure. Seong-im's Seokgasan is record-relics with high value of landscape architecture history, which can identify its historical meanings, shapes and structural frames succeeded from the Goryeo dynasty.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.25-36
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• 2008

In this paper, we present a robust hand recognition approach to sudden illumination changes. The proposed approach constructs a background model with respect to hue and hue gradient in HSI color space and extracts a foreground hand region from an input image using the background subtraction method. Eighteen features are defined for a hand pose and multi-class SVM(Support Vector Machine) approach is applied to learn and classify hand poses based on eighteen features. The proposed approach robustly extracts the contour of a hand with variations in illumination by applying the hue gradient into the background subtraction. A hand pose is defined by two Eigen values which are normalized by the size of OBB(Object-Oriented Bounding Box), and sixteen feature values which represent the number of hand contour points included in each subrange of OBB. We compared the RGB-based background subtraction, hue-based background subtraction and the proposed approach with sudden illumination changes and proved the robustness of the proposed approach. In the experiment, we built a hand pose training model from 2,700 sample hand images of six subjects which represent nine numerical numbers from one to nine. Our implementation result shows 92.6% of successful recognition rate for 1,620 hand images with various lighting condition using the training model.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.99-108
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• 2010

In this paper I tried to find out changed and improved streetscape through the simulation using components of streetscape abstracted by factor analysis after analyzing present situation and problems of the streetscape for housing developments prepared on publis water surface. An analysis object is located in Haeundae Marine City in Busan. As a result of analysing the streetscape of marine city at present, I could see that main problems were discontinuous street space that did not reflect the characteristic of seashore, uncomfortable and insecure passage owing to coexistence street at seashore, insufficient street facilities for pedestrians, and disordered outdoor signboards. Therefore, I put the causal problems of marine city's streetscape in the insufficient street components, disharmony, and discontinuity so analysed the simulation elements applying selected street components and evaluated them to deduce demand factors having common meaning. As the result, the common demand factors were 'street furniture', 'harmonious streetscape with surrounding', 'landscape with natural openness', and 'landscape with dynamic symbol' in the order. So it needs to stress on a plan for proper arrangement of 'street facilities' and symbolic streetscape having continuity and harmony with surrounding so that the plan can proceed more properly for marine city's identity.

• Cross-Cultural Studies
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• v.42
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• pp.419-449
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• 2016

The Russian icon and Korean tangwha (幀畵, altar portrait of Buddha) are based on the similarity of the divine Being. Each has the characteristic index that forms an existential connection with the object and at the same time, implies the symbolic meaning of the scriptures and doctrines of the Russian Orthodox and Buddhists. Russian icon and Korean tangwha with these attributes have origins in the Byzantine, India and China. Unlike most religious art, Russian icon and Korean tangwha clearly reveal profane orientation and mystical elements. This artistic phenomenon has evolved from the mystical religious culture in Russia and tantric rituals of the early Joseon period. Iconostasis, created from historical figures of the Old Testament, Jesus, the New Testament represent the principles of the macrocosm. Each icon of iconostasis has integrity, while each floor has another narrative and a meta-discourse on the entire composition. Three-Platforms of amrtakundalin can also have a huge epic that is directed from the Low-Platform to the High-Platform for the purpose of salvation. While the narrative of iconostasis has a time structure, from the beginning of the universe up to date in chronological time, amrtakundalin have pictorial transitions of time and space that rises from this life to a heavenly world. Despite the different world views of the Russian Orthodox and Buddhists, iconographical format and symbolism of heaven and hell in the Iconostasis, Last Judgment and amrtakundalin are similar. There is a constant antagonism between heaven and hell, light and darkness, water and flame. Iconographical contents include the water of life and nectar, the book of life and 'eoppu', and the scales and mirror of Karma that discriminate between the good and evil before judgment. The dualistic coordinate concept such as light and darkness, life and death, or heaven and hell that appears in the narrative structure of iconostasis, the Last Judgment and amrtakundalin leads the people to spiritual awakening.

• 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.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.1975-1984
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• 2021

Urban expansion results in raising the temperature in the city, which can cause social, economic and physical damage. In order to prevent the urban heat island and reduce the urban land surface temperature, it is important to quantify the cooling effect of the features of the urban space. Therefore, in order to understand the relationship between each object of land cover and the land surface temperature in Seoul, the land cover map was classified into 6 classes. And the correlation and multiple regression analysis between land surface temperature and the area of objects, perimeter/area, and normalized difference vegetation index was analyzed. As a result of the analysis, the normalized difference vegetation index showed a high correlation with the land surface temperature. Also, in multiple regression analysis, the normalized difference vegetation index exerted a higher influence on the land surface temperature prediction than other coefficients. However, the explanatory power of the derived models as a result of multiple regression analysis was low. In the future, if continuous monitoring is performed using high-resolution MIR Image from KOMPSAT-3A, it will be possible to improve the explanatory power of the model. By utilizing the relationship between such various land cover types considering vegetation vitality of green areas with that of land surface temperature within urban spaces for urban planning, it is expected to contribute in reducing the land surface temperature in urban spaces.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.568-573
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• 2018

UAV(Unmanned Aerial Vehicle) is widely used in space information construction, agriculture, fisheries, weather observation, communication, and entertainment fields because they are cheaper and easier to operate than manned aircraft. In particular, UAV have attracted much attention due to the speed and cost of data acquisition in the field of spatial information construction. However, ortho image images produced using UAVs are distorted in buildings and forests. It is necessary to solve these problems in order to utilize the geospatial information field. In this study, fixed wing, rotary wing, vertical take off and landing type UAV were used to detect distortions of ortho image of UAV under various conditions, and various object areas such as construction site, urban area, and forest area were captured and analysed. Through the research, it was found that the redundancy of the unmanned aerial vehicle image is the biggest factor of the distortion phenomenon, and the higher the flight altitude, the less the distortion phenomenon. We also proposed a method to reduce distortion of orthoimage by lowering the resolution of original image using DTM (Digital Terrain Model) to improve distortion. Future high-quality unmanned aerial vehicles without distortions will contribute greatly to the application of UAV in the field of precision surveying.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1251-1260
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• 2018

High-quality sea-ice surface models generated from aerial images can be used effectively as field data for developing satellite-based remote sensing methods but also as analysis data for understanding geometric variations of Arctic sea-ice. However, the lack of texture information on sea-ice surfaces can reduce the accuracy of image matching. In this paper, we analyze the performance of matching cost functions for homogeneous sea-ice surfaces as a part of high-quality sea-ice surface model generation. The matching cost functions include sum of squared differences (SSD), normalized cross-correlation (NCC), and zero-mean normalized cross-correlation (ZNCC) in image domain and phase correlation (PC), orientation correlation (OC), and gradient correlation (GC) in frequency domain. In order to analyze the matching performance for texture changes clearly and objectively, a new evaluation methodology based on the principle of object-space matching technique was introduced. Experimental results showed that it is possible to secure reliability and accuracy of image matching only when optimal search windows are variably applied to each matching point in textureless regions such as sea-ice surfaces. Among the matching cost functions, NCC and ZNCC showed the best performance for texture changes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.4
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• pp.243-251
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• 2019

The road sign location information installed on national roads is continuously updated using MMS (Mobile Mapping System) technology. It is possible to map accurate road facilities by MMS, but the equipment is very expensive and requires specialized technology. Also, the accuracy of the position of the object greatly depends on the GPS (Global Positioning System) accuracy. In the case of road facility mapping, the advantage of drone is more remarkable than that of field survey or conventional aerial photogrammetry. In particular, it is more efficient than field surveying and it is possible to acquire high resolution images with low budget compared to conventional aerial photogrammetry. In this study, the accuracy of the location information measured by the existing MMS is compared with the GPS survey result and the accuracy analysis is performed by the drone aerial photogrammetry. In order to confirm the space accuracy that can be obtained when conducting drone aerial photogrammetry, the accuracy of the change in the number of ground control points and the degree of overlap was evaluated. As a result of the experiment, it was possible to obtain sufficient accuracy with two ground control points distributed at both ends of the road and 60% overlap.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.553-565
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• 2021

Point cloud is a set of points for representing a 3D object, and consists of geometric information, which is 3D coordinate information, and attribute information, which is information representing color, reflectance, and the like. In this way of expressing, it has a vast amount of data compared to 2D images. Therefore, a process of compressing the point cloud data in order to transmit the point cloud data or use it in various fields is required. Unlike color information corresponding to all 2D geometric information constituting a 2D image, a point cloud represents a point cloud including attribute information such as color in only a part of the 3D space. Therefore, separate processing of geometric information is also required. Based on these characteristics of point clouds, MPEG under ISO/IEC standardizes V-PCC, which imitates point cloud images and compresses them into 2D DCT-based 2D image compression codecs, as a compression method for high-density point cloud data. This has limitations in accurately representing 3D spatial information to proceed with compression by converting 3D point clouds to 2D, and difficulty in processing non-existent points when utilizing 3D DCT. Therefore, in this paper, we present 3D Discrete Cosine Transform-based Point Cloud Compression (3DCT PCC), a method to compress point cloud data, which is a 3D image by utilizing 3D DCT, and confirm the efficiency of 3D DCT compared to V-PCC based on 2D DCT.