• 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.

• 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 Distribution Science
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• v.22 no.7
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• pp.13-22
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• 2024

Purpose: This research is a quantitative study aimed at determining the influence of brand experience and brand image on brand equity through brand loyalty in the distribution in Coworking Space industry. Research design, data and methodology: The analytical method employed in this research is Partial Least Squares Structural Equation Modeling (PLS-SEM). The study utilizes a quantitative approach, with data collected through online questionnaires distributed via Google Forms among Coworking Space users. A total of 68 respondents represent the research population.. The data was analyzed using PLS-SEM to examine the relationships between the variables under investigation. Results: The research findings indicate that brand experience significantly affects both brand loyalty and brand equity. Similarly, brand image significantly influences both brand loyalty and brand equity. Additionally, brand loyalty has a significant impact on brand equity Conclusions: The research findings indicate that brand experience has a significant effect on brand loyalty and brand equity. Brand image significantly affects both brand loyalty and brand equity.Additionally, brand loyalty significantly influences brand equity.

• 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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• 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.

• Korean Institute of Interior Design Journal
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• v.17 no.3
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• pp.43-50
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• 2008

Commercial space, the types of which have been increasingly various and changing rapidly, has been generating new marketing concepts for space. Especially as the environmentally friendly lifestyle spreads around, the component of natural landscape such as plant, stone, or water has been used as an important part in space design, freshly imprinting the brand image beyond the idea of simple interior property. By combining commercial space design with 'the component of the natural landscape', we can improve the brand image, create the newness in the space, lead customers to stay longer in the space, and reinforce the decorative effect. The parts of the commercial space to which we can apply the element of natural landscape are facades, walls, floors, and show windows. Various examples of real application are found according to the areas of business and goods displayed. This thesis attempts to maximize the effect of commercial space by examining and analyzing various instances of space and provide the ways of applying the space that contains an aesthetic value. For the research, 60 articles, theses, reports that have the keyword related to interior landscape and marketing strategy in commercial space were used as references. From the references, 70 cases were selected and analyzed to find landscape application patterns. Also, 4 store cases that landscape application have been the key to their success were selected for the survey. In doing this, I presented the readers with the packaging technique which improves brand image, the effect of stage direction which helps sensitive communication with users, the application as interior structure and the effect of an object that is useful to aesthetic effect in the commercial space. Finally, I endeavored to provide possible problems to be produced when applying the natural element in the commercial space and matters to be attended to in the management.

• Journal of Astronomy and Space Sciences
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• v.27 no.4
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• pp.289-307
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• 2010

We developed a photometric pipeline to be used for a wide field survey. This pipeline employs the difference image analysis (DIA) method appropriate for the photometry of star dense field such as the Galactic bulge. To verify the performance of pipeline, the observed dataset of the open cluster M11 was re-processed. One hundred seventy eight variable stars were newly discovered by analyzing the light curves of which photometric accuracy was improved through the DIA. The total number of variable stars in the M11 observation region is 335, including 157 variable stars discovered by previous studies. We present the catalogue and light curves for the 178 variable stars. This study shows that the photometric pipeline using the DIA is very useful in the detection of variable stars in a cluster.