• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.1077-1085
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• 2017

Urban space is a place that shows the behavior, experience and lifestyle of residents. Also by the combination of local attributes and assets, creating a space that reflects the unique image of the city. For the development of the city, it is important to actively reflect the identity of the space created by the difference of each space. In this study, we focused on the disparate of space and found the characteristics of urban space. And psychological factors on disparate images of the spatial analysis. As a result, 14 spatial image characteristics of Busan showed difference. In terms of dimensions, it could be classified as an natural, artificial, dynamic, static images. Also, the preference cluster of individuals showed a positive response in naturalness, openness, gentle slope and static space.

• Publications of The Korean Astronomical Society
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• v.31 no.3
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• pp.35-41
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• 2016

We have constructed a wide-field photometric survey system called as the Korea Microlensing Telescope Network (KMTNet) in 2015. It consists of three 1.6 m optical telescopes equipped with mosaic CCD cameras. Four 9k CCDs were installed on the focal plane of each telescope. In this paper, we present the crosstalk analysis of the KMTNet mosaic CCD images. The crosstalk victims caused by bright sources were visible at eight sub-images obtained through different readout ports of each CCD. The crosstalk coefficients were estimated to be several tens of $10^{-4}$ in maximum, differing from sub-image to sub-image, and the non-linearity effect certainly appeared at the victims made from saturated sources. We developed software functions to correct the crosstalk effect of the KMTNet CCD images. The software functions showed satisfying results to remove clearly most of the crosstalk victims and have been implemented in the KMTNet image processing pipeline since 2015 September.

• Journal of Biosystems Engineering
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• v.33 no.6
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• pp.446-452
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• 2008

Machine vision system was used for analyzing leaf color disorders of tomato plants in a greenhouse. From the day when a few leave of tomato plants had started to wither, a series of images were captured by 4 times during 14 days. Among several color image spaces, Saturation frame in HSI color space was adequate to eliminate a background and Hue frame was good to detect infected disease area and tomato fruits. The processed image ($G{\sqcup}b^*$ image) by OR operation between G frame in RGB color space and $b^*$ frame in $La^*b^*$ color space was useful for image segmentation of a plant canopy area. This study calculated a ratio of the infected area to the plant canopy and manually analyzed leaf color disorders through an image segmentation for Hue frame of a tomato plant image. For automatically analyzing plant leave disease, this study selected twenty-seven color patches on the calibration bars as the corresponding to leaf color disorders. These selected color patches could represent 97% of the infected area analyzed by the manual method. Using only ten color patches among twenty-seven ones could represent over 85% of the infected area. This paper showed a proposed machine vision system may be effective for evaluating various leaf color disorders of plants growing in a greenhouse.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• Korean Institute of Interior Design Journal
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• v.17 no.6
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• pp.207-215
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• 2008

Modern people come to have high standard and variety need for the oneself expression these days. This phenomenon also, appears in the house space clearly. There are design characteristics in an element expressing a lifestyle and personality in the house space and a living room is the space that is important at time to do a design characteristics plan. Therefore, this study is going to analyze the design characteristics of the apartment house which is a representative house type these days. Concretely, there are design characteristics that a color, an Image, a style. This study used questionary survey from June 10, 2008 to July 9. The color analyzed a color and tone through a color palette of PCIS and the living room image used SD(semantic differential method) method by a concrete analysis method. The result of the analysis were as follows; 1) Various colors and tone were prefer in a house future than the house where lived in. 2) It was done prefer to 'comfort' image for the future living room image in the future but 'provocative' image and 'splendid' were not done a choice 3) A 'modern style' was done prefer to of with a house living room style in the future.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10B
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• pp.1086-1092
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• 2009

Stereoscopic conversion has been an important and challenging issue for many 3-D video applications. Usually, there are two different stereoscopic conversion approaches, i.e., image motion-based conversion that uses motion information and object-based conversion that partitions an image into moving or static foreground object(s) and background and then converts the foreground in a stereoscopic object. As well, since the input sequence is MPEG-1/2 compressed video, motion data stored in compressed bitstream are often unreliable and thus the image motion-based conversion might fail. To solve this problem, we present the utilization of key-motion that has the better accuracy of estimated or extracted motion information. To deal with diverse motion types, a transform space produced from motion vectors and color differences is introduced. A key-motion is determined from the transform space and its associated stereoscopic image is generated. Experimental results validate effectiveness and robustness of the proposed method.

• Korean Institute of Interior Design Journal
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• no.29
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• pp.94-102
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• 2001

The urban land is incapacitated to grow and correspond to demand the space in urban area. And recently, rapid increasing of population and complex of urban function on pushed to develop the underground space. In Korea, the underground space development in inefficient in aspect. because development of underground space have not consistent and systematic planning method in underground environment inclounding interion design, extererior design. Therefore this study is suggested the design element for comfortable underground living environment and assortment on utilization of underground space. The results of this study on utilization are security of space through land use efficiency, conservation of historical place, building and natural environment, and technological characteristics, mental image. Accordingly, this study is proposed design element that make comfortable underground space as aspect from stimulation and diversity, sapciousness and feeling of warmth and dryness to compensate improper image of underground space, spacial orientation and way finding.

• Journal of Information Technology Applications and Management
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• v.10 no.3
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• pp.45-54
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• 2003

Security system with web camera remarkably has been developed at an Internet era. Using transmitted images from remote camera, the system can recognize current situation and take a proper action through web. Existing motion detection methods use simply difference image, background image techniques or block matching algorithm which establish initial block by set search area and find similar block. But these methods are difficult to detect exact motion because of useless noise. In this paper, the proposed method is updating changed background image as much as $N{\times}M$pixel mask as time goes on after get a difference between imput image and first background image. And checking image pixel can efficiently detect motion by computing fixed distance pixel instead of operate all pixel.

• Bulletin of the Korean Space Science Society
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• 2004.10b
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• pp.97-97
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• 2004

• Korean Institute of Interior Design Journal
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• v.15 no.3 s.56
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• pp.83-91
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• 2006

Our human society is rapidly changing into the world of advanced visual information with the development of image industry, the advent of satellite and terrestrial DMB, and the opening of Ubiquitous era. Like this, we are living in the space of overflowing media contents. Jean Baudrillad anticipated that the influential power of image would dominate our reality in 'Simulation'. Noticing the indication of our time, which is organized by various information media including the mass media, Baudrillad predicted that the 21st century would be an era of symbol and image due to the development of television, computer, and internet. This paper attempts to find the physical and conceptual peculiarities of the space change according to the use of display, by analyzing SF films, where future daily life is a major setting, under the judgement that the exploration of space change is significant. Through findings, it tries to lead the visual expansion, which recognizes display as space itself rather than object of space and changes unmoving space into moving space, and suggest the future space design by using digital space. It suggests case studies, which use digital display in the real space, as a study method and it examines the features, influences, and roles of digital display through investigating literatures and cases. In addition, it attempts to find a correlation of digital display and space by selecting films, which can give the affluent resources of analysis on the digital display among SF films. Therefore, it will come to a conclusion that space change should be dealt with in the space design.