• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.5
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• pp.19-32
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• 2012

The purpose of this study is to quantitatively measure the view target and the view area through the selection of landscape control point by selecting Jimyeong-dong Dong-gu and Yeongyeong-dong Buk-gu Daegu, which are planned as the large scale housing complex development area, as the target places. It is very meaningful that from the simulation based on this measurement, the improvement methods are attempted to be suggested at the project level. The results of this study are as follows. First, the total number of viewing targets derived from the literature analysis for the selection of the viewing targets was 24, and finally derived main viewing targets were 4 places. Second, the total number of selection criteria of the derived landscape control point was 15, and these were re-categorized as prospect, accessibility and publicness according to the common property. The preliminary LCPs were selected by measuring the publicness and accessibility, and because of the said measurement, a total of 43 preliminary LCPs were selected. The final LCPs were selected by estimating the prospect of the selected preliminary LCPs, and as a result of estimation, a total of 29 final LCPs were selected. Finally, the total number of evaluation indicators derived from literature analysis was 26. Because of the valuation by the landscape control point, it was found that the 2 view areas were the I grade, 3 areas were II grade and 3 areas were the V grade, the lowest grade among 29 view areas. From the analysis on problems for the improvement methods, 4 improvement-indicators including the diversity of land mosaic were selected for the view area-1 without considering the development project drawing. In addition, for the view area-2 with considering the development project drawing, the landscape as the scenery forests was well formed, and the arrangement of architectures for the security of view corridor was right angle arrangement, and their floor number was 10.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.945-948
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• 2005

Mobile computing devices are becoming increasingly prevalent in a huge range of physical area, offering a considerable market opportunity. The focus of this paper is on the development of a platform of fault diagnosis system integrating with personal digital assistant (PDA). An improvement of induction machine rotor fault diagnosis based on AI algorithms approach is presented. This network system consists of two parts; condition monitoring and fault diagnosis by using Artificial Intelligence algorithm. LabVIEW allows easy interaction between acquisition instrumentation and operators. Also it can easily integrate AI algorithm. This paper presents a development environment fur intelligent application for PDA. The introduced configuration is a LabVIEW application in PDA module toolkit which is LabVIEW software.

• Journal of Korean Society of Rural Planning
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• v.10 no.3 s.24
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• pp.19-26
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• 2004

In this study, a new model for improving the settlement environment and revitalizing hilly and mountainous areas was presented. A case study was conducted in two rural villages of Nakatsu-Mura in Wakayama-Prefecture, Japan. The settlement environment was evaluated from the point of view of the local residents, and the expectation of the local residents about the regional revitalization of their village in the future was assessed. From the analysis, each factor used far the assessment displayed characteristics of the two rural villages well. The type of improvement in rural villages was classified by a combination of the degree of satisfaction over the current settlement environment and expectation about the regional revitalization of the villages in the future. A method for improving and revitalizing settlement environments was clarified.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.59-68
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• 2005

This paper proposes a face recognition under varying poses using local area obtained by side-view pose normalization. General normalization methods for face recognition under varying pose have a problem with the information about invisible area of face. Generally this problem is solved by compensation, but there are many cases where the image is distorted or features lost due to compensation .To solve this problem we normalize the face pose in side-view to reduce distortion that happens mainly in areas that have large depth variation. We only use undistorted area, removing the area that has been distorted by normalization. We consider two cases of yaw pose variation and pitch pose variation, and by experiments, we confirm the improvement of recognition performance.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.7
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• pp.53-61
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• 1998

In this paper, we propose an efficient multi-view images coding algorithm to find the optimal depth and texture from the set of multi-view images. The proposed algorithm consists of two consecutive steps, i) the depth estraction step, and ii) the texture extraction step, comparedwith the traditional algorithem which finds the depth and texture concurrently. The X-Y plane of the normalized object space is divided into traingular paatches and the Z value of the node is determined in the first step and then the texture of the each patch is extracted in the second step. In the depth extraction step, the depth of the node is determined by applying the block based disparity compensation method to the windowed area centered at the node. In the second step, the texture of the traingular patches is extracted from the multi-view images by applying the affine transformation based disparity compensation method to the traingular pateches with the depth extracted from the first step. Experimental results show that the SNR(Singnal-to- Noise Ratio) of images enconded by our algorithm is better than that of images encoded by the traditional algorithm by the amount about 4dB for for the test sets of multi-view images called dragon, kid, city and santa.

• Journal of the Korean housing association
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• v.14 no.6
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• pp.1-13
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• 2003

Housing supply ratio in Ulsan area has soared up to 91% recently. Therefore, developing a successful marketing strategy is an essential part of apartment sales success in Ulsan area. The purpose of this study is identifying the status of satisfaction level, moving motivation, the level of housing choosing behavior, and housing needs of the apartments for making a marketing strategy. The survey uses questionnaires which are delivered to the 545 housewives who live in 20 pyoung or 30 pyoung apartment in Ulsan area. The research uses a survey questionnaire for gathering a set of statistically-reasonable number of data among one million population of Ulsan metropolitan area. The frequency test and F-test are used for the analysis of the results. The results of empirical analyses provide the following major findings： 1) housing satisfaction of Buk-ku residents is higher than that of the residents of the other area, 2) neighborhood environment improvement and physical environment improvement are important factors of housing moving motivations, 3) view and lighting are important requirements of the housing, 4) the level of housing choosing efforts are more active in the residents of Joong-ku and Dong-ku than those of Nam-ku and Buk-ku.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.709-718
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• 2016

The study considers viewpoints for qualitative improvement of landscape planning based on research literature, books and reports. By classifying items used in this study, evaluation criteria was derived for viewpoint selection using SPSS Statistics. In addition, we establish weights and prioritize viewpoints by measuring the relative importance within the hierarchical index. The analysis results are as follows: First, 16 viewpoints were determined using surveys from experts to establish specific and systematic plans for landscape simulation. Second, with respect to the medium classification level of viewpoint evaluation, the most important factor found was 'view' followed by 'publicness' and 'place.' Third, priority by viewpoint was found to exhibit the following order of relative importance: visual openness of viewpoint, favorability as view target, cultural property space, historicity, public place, gateway place, area where the target can be observed, thickly-populated or most-used place, place where various shapes of targets and surrounding landscape can be identified, ecological protection area, river and waterside area, viewing angle (relief-etching), viewing direction, major roads, distance between the viewpoint and the target, and plains and farmland. These results can contribute to developing systematic and reliable analysis frame for qualitative improvement of landscape planning and evaluating landscape simulation.

• Journal of Korea Game Society
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• v.1 no.1
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• pp.55-60
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• 2001

With rapid development of graphic hardware, researches on Virtual Reality and 3D Games have received more attention than before. For more realistic 3D graphic scene, objects were to be presented with lots of polygons and the number of objects shown in a scene was remarkably increased. Therefore, for effective visualization of large polygon models like this, view-frustum culling method, that visualizes only objects shown in the screen, has been widely used. In general, the bounding boxes that include objects are generated firstly, and the boxes are intersected with view-frustum to check whether object is in the visible area or not. Recently, an algorithm that can check in-out test of objects using OpenGL's selection mode, which is originally used to select the objects in the screen, is suggested. This algorithm is fast because it can use hardware acceleration. In this study, by implementing and applying this algorithm to large polygon models, we showed the efficiency of OpenGL assisted View-Frustum Culling algorithm. If this algorithm is applied to 3D games that have to process more complicated characters and landscapes, performance improvement can be expected.

• Korean Journal of Agricultural Science
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• v.10 no.2
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• pp.371-381
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• 1983

This study is aimed at identifying the economic effects of drainage improvement projects. The total area of poor drainage is equivalent to 170,000ha, 13% of the total area of paddy field in Korea. The development of poor drained paddy is an urgent problem considering the low rate of self-sufficiency of food grain and the limitation of farmer's income increase. Rapid development of Korean economy has brought labor shoriage in rural farming sector. Accordingly farm mechanization is an important agricultural policy to hike labor productivity and to save production costs of rice farming. The expected economic benefits of the drainage improvement project are derived from increasing land productivity, expanding double cropped area and farming the farm mechanization base in paddy fields. The economic and financial rate of return of the project are considered very important decision making criteria for project implementation by resource allocation. Therefore this study covered benefit and cost analysis of the sampled area, the estimated financial rate of returns in $Buy{\check{o}}$ and Jinsung are represented 15% and 51% respectively and the economic rate of returns in both project area are also showing 1% and 26% respectively. The rate of return of the projects has showed an outstanding variance according to the locational and natural characteristics of the project area. As showing the above economic rate of return, $Buy{\check{o}}$ is very low Jinsung is very high. But the financial rate of return of both projects are considered comparatively high. Cosequently, the drainage improvement projects should be promoted from the view point of farm income increase to make narrow the income gap between rural and urban incomes and farm mechanization to solve labor shortage in the rural area.

• Journal of Korean Society of Rural Planning
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• v.19 no.3
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• pp.117-129
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• 2013

The Historic Cultural Environment Conservation Areas around Chosun Royal Tombs in Gyeonggi Province are larger than those around other Cultural Assets, so more efficient management tools on the Areas should be needed. This study aims to suggest the directions of policy to modify the existing management tools by analyzing the spatial extent and alteration standards of the 12 Historic Cultural Environment Conservation Areas around Chosun Royal Tombs in Gyeonggi Province. The results of this study are as follows: First, in most cases, the spatial extents of the Areas are 500m, but the spatial extents should be precisely classified in Gyeonggi Ordinance of Cultural Assets Protection, and be excluded according to the layout of Protection Areas and roads. And the outside view from the inside is more important in Chosun Royal Tombs, so the areas on the axis of the view must be controled by considering the development density(bulk or height of buildings). Second, the same zoning areas must be classified as the same section of the Area allowing for equity, and Finally, the Current Conditions Permission Criteria should be actualized to take into account the difference between the development densities of zoning araes and the Criteria.