• Journal of the Korean Society for Precision Engineering
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• v.33 no.5
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• pp.409-417
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• 2016

It is well known that Morpho butterflies show distinctive, brilliant and iridescent colors and have micro-nano scale structures, instead of dyes and pigments, on their wings. This structural coloration is regarded as a novel technique to express color with a long lifetime, ease and precise tenability. Here, we studied optical multilayer thin films with thickness of several tens of nm ($TiO_2$ and $SiO_2$) and lens-shape micro-patterns. Fabrication and characterization of the multilayer stacking structure and the micro-pattern structure were performed and the films were analyzed via several optical measuring techniques. Finally, we discussed how the micro-pattern structure could enhance independence with color changes according to the viewing angle.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.1
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• pp.7-18
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• 2006

This study aims to analyze the illumination effects of bridges across the Han River. For the purpose, 8 bridges were selected. Field survey and measurements were performed, and the physical values such as luminance, color temperature and chromaticity were measured by Radiant Imaging Prometric 1400 Color. The results of the study are as follows; (1) Metal halide lamp, sodium lamp and LED(Light Emitting Diode) of various colors, are used in illuminating the bridges and create color contrasts and color changing by color filters. (2) Luminance contrast of the illuminated bridges affects 'modeling' and 'spare sense' of bridges, and it might improve people's preference and impression. (3) Color temperature of the illuminated bridges is influenced by 'color of bridge', 'material of bridge' and, 'color temperature and color of light sources'. (4) 'Structure of bridges' and 'luminaires' influence on the physical feature of the bridges. Especially, illumination of the bridges shows resemblant patterns by 'structure of bridges'.

• Proceedings of the Optical Society of Korea Conference
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• 2007.02a
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• pp.54-55
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• 2007

• Korean Institute of Interior Design Journal
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• v.22 no.1
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• pp.239-246
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• 2013

This study is aimed at understanding the color extendibility of color-field abstract through Mark Rothko's paintings. Color extendibility is a structure applied by Mark Rothko. He simplifies it and by pursuing autonomy and immediacy of the color itself, including surface color and the front of color-field, Rothko creates value through motions in his square paintings of non-fixed shapes. Chapter 2 revisits the meaning of color in abstract expressionism and explains the principle of color-field by applying the concept of ergon and parergon. In chapter 3, the principle, processes, methods, techniques of expression were studied as a basis to understand color extendibility and color-field abstract. In chapter 4, the works of Mark Rothko were analyzed based on his multiform paintings(1946-1948), number and untitled(1949-1957), and black paintings(1958-1970) in order to identify, in the final chapter, the features of color extendibility in Rothko's works. According to the above research, the thesis successfully concludes that the artist's reconstruction of reality and readjustment of transcendent reality are reproduced via color extendibility, the movement of color-field.

• Journal of the Korean housing association
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• v.15 no.5
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• pp.33-41
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• 2004

This study examined the effect of the main color of apartment building as background color on the preference for residential streetscape in the relation with surrounding environment of streetscape with its focus on the color of apartment building outer wall. To research a visual evaluation structure, this study aimed to understand its characteristics through quantitative assay and to provide more scientific and specific data about improvement direction. The results suggested that the current brightness and chroma of main color of apartment building was high and low respectively which was advisable. On the other hand, in the color, when the components of the whole streetscape included buildings or soundproofing walls, a streetscape image needed to be improved though the color scheme of 4-distance color difference.

• ETRI Journal
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• v.38 no.1
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• pp.164-173
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• 2016

Demosaicing, or color filter array (CFA) interpolation, estimates missing color channels of raw mosaiced images from a CFA to reproduce full-color images. It is an essential process for single-sensor digital cameras with CFAs. In this paper, a new demosaicing method for digital cameras with Bayer-like W-RGB CFAs is proposed. To preserve the edge structure when reproducing full-color images, we propose an edge direction-adaptive method using color difference estimation between different channels, which can be applied to practical digital camera use. To evaluate the performance of the proposed method in terms of CPSNR, FSIM, and S-CIELAB color distance measures, we perform simulations on sets of mosaiced images captured by an actual prototype digital camera with a Bayer-like W-RGB CFA. The simulation results show that the proposed method demosaics better than a conventional one by approximately +22.4% CPSNR, +0.9% FSIM, and +36.7% S-CIELAB distance.

• Journal of the Korean Home Economics Association
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• v.30 no.4
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• pp.167-182
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• 1992

The purpose of the study was to determine if an abstract color palette was representative of a color scheme of interior environment by which the meaning of colcor could be determined. An abstract color palette was developed by the researchers to show contrast, overlapping, and adjacencies as they might actually appear in an interior environment. Six pictures and six color palettes were used to test the meaning of color. The questionnaire consisted of 21 words to describe the color of interior environment. The sample consisted of 73 undergraduate students of varied majors. A factor analysis was used to identify the structure of color meaning. Five factors; emotional factor, factor of unity, spatial quality factor, factor of complexity, and social evaluation factor were identified. A t-test was used to analyze the difference in responses to the descriptor words for the pictures and palettes. It was found that in 14 of 21 descriptor, there was no significant difference between evaluation of color meaning for the pictures and palettes in 50% or more of the cases.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.72-73
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• 2005

In this paper, the simulation of the n-p-n-p layer stacked color detector is presented. A color detector based on vertically integrated structures of silicon can overcome color moire or color aliasing effect. The color detector is designed to separate the fundamental chromatic components at each junction and exhibits maxima of the spectral sensitivity at red, green, and blue region, respectively. From this result, it is observed that the spectral response can be controlled by the doping concentration and structure of the devices.

• Journal of IKEEE
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• v.23 no.1
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• pp.112-119
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• 2019

In this paper, we propose a deep learning structure suitable for embedded system. The flame detection process of the proposed deep learning structure consists of four steps : flame area detection using flame color model, flame image classification using deep learning structure for flame color specialization, $N{\times}N$ cell separation in detected flame area, flame image classification using deep learning structure for flame shape specialization. First, only the color of the flame is extracted from the input image and then labeled to detect the flame area. Second, area of flame detected is the input of a deep learning structure specialized in flame color and is classified as flame image only if the probability of flame class at the output is greater than 75%. Third, divide the detected flame region of the images classified as flame images less than 75% in the preceding section into $N{\times}N$ units. Fourthly, small cells divided into $N{\times}N$ units are inserted into the input of a deep learning structure specialized to the shape of the flame and each cell is judged to be flame proof and classified as flame images if more than 50% of cells are classified as flame images. To verify the effectiveness of the proposed deep learning structure, we experimented with a flame database of ImageNet. Experimental results show that the proposed deep learning structure has an average resource occupancy rate of 29.86% and an 8 second fast flame detection time. The flame detection rate averaged 0.95% lower compared to the existing deep learning structure, but this was the result of light construction of the deep learning structure for application to embedded systems. Therefore, the deep learning structure for flame detection proposed in this paper has been proved suitable for the application of embedded system.

• Journal of Fashion Business
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• v.18 no.2
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• pp.148-165
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• 2014

The purpose of this study is to establish a theory about the necessary structure for knitwear design, and to propose it with the practical data through the actual development of a high value added knit structure. For this study, the market was conducted along with literature reviews on the existing studies and the relevant books about knit structures. The market research aimed at the products released in the spring/summer and fall/winter seasons of 2012-2013, focusing on brand for middle aged women. The utilization of the structure by item and the characteristics of knit design were studied. The research was conducted on S/S products in May and July, and F/W products in October and December. As a result of the market research, it was shown that the lightweight structures with permeability such as plain, lace, links and links, this is repeated and rib structure were frequently utilized during the S/S season, while double structures with good shape stability were greatly utilized during the F/W season. Also, during the F/W season, a cable structure and tubular jacquard that emphasized the volume or cubic effect were frequently used, and there were many jacquard structures where a change of color sense and motive were added. Concerning the knit structures development, the researcher designed the knit structure at the actual production site of the knit fashion. A total of 5 pieces of knit structures were developed by asking a professional for programming and knitting. To the developed structures, the study added a multi-gauged effect, herringbone transformation effect, 3-dimensional surface effect, color effects, geometric patterns, lace penetration effect, and soft surface effect in a water-drop shape. In addition, the structures had differences in the added values by mixing various structures and diversely expressing color sense on the knitting line. This study proposes the direction for 21st century knitwear product design, through the development of a high value added knit structure.