• The Research Journal of the Costume Culture
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• v.7 no.1
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• pp.82-99
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• 1999

The purpose of this study was to investigate the traditional costume colors in ancient Korea. The results of this study can be summarized follows : The traditional costume colors in ancient Korea was affected on Chineses goverment official\`s costume colors, specially in Tongil Silla Dynasty. Goverment official\`s costume colors were purple(紫), red(赤), yeoolw(黃), blue(靑). The traditional Korean colors for clothes were devided in the white costume for low class and the colored costume of high class. The traditional Korean colors for colthes became fixed in the later Chosun dynasty, According to developing of dyeing technic, the prohibition of red costume for low class made for wear red undercloth. And on account of costume color in sumptuary law occured the transition of costume color. As transition of costume color, yellow(黃) changed in light in light yellow(松花色), purple(紫) did in dark green purple(茶割) Also it was found that the traditional Korean color for clothes was many kinds of soft, deep, natural colors out of red(紫)·yellow(黃)·white(白)·black(黑)·blue(靑).

• Journal of the Korean Society of Costume
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• v.43
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• pp.5-14
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• 1999

The purpose of this study is to survey the color preference of mothers for the clothing of their children whose clothing is usually chosen by their mothers. The survey was performed by showing 60 color samples to provide the fashion color planning. The result of this study shows that the prefe-rences in hue and tone are different mainly by season. The most preferred colors are yellow for boys and pink for girls in spring white in summer beige in fall and black in winter. The most preferred tones for boys are pale in spring and summer dull in fall and dark in winter. For girls light tone is most preferred in spring and pale in summer bright in fall and dark in winter. Analysis of tone preferences in 6 colors shows that bright and clear are commonly preferred tones for children's clothing. pale light vivid tones of yellow green and blue are preferred for girls and boys. Dark purple is preferred in fall and winter while pale tone is preferred in spring and summer. Red is preferred for girls especially in pale bright vivid tones while dark grayish and deep tones are preferred for boys in fall and winter.

• Preventive Nutrition and Food Science
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• v.3 no.2
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• pp.105-110
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• 1998

Color characteristic of thawed samples of frozen cooked soybean pree of selected cultivar (Gomultong) depending upon cooking temperature an dtime as well as freezing conditions were evaluated . Samples were either cooled in 4$^{\circ}C$ refrigerator (control), or frozen at - 4$0^{\circ}C$ deep freezer for 12 hrs and then stored in 4 $^{\circ}C$ refrigerator , or immersed in liquid nitrogen (LN2) and then each samples were cooked for 5, 10, 20 and 40 min at 65, 80 and 95$^{\circ}C$, respectively. Freezing effect was not significant for all color characteristics except for b. Significant cooking temperature by cooking time interacts were found for all characteristics excepts for L.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.1017-1028
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• 2019

Pedestrian tracking is a particular object tracking problem and an important component in various vision-based applications, such as autonomous cars and surveillance systems. Following several years of development, pedestrian tracking in videos remains challenging, owing to the diversity of object appearances and surrounding environments. In this research, we proposed a tracking-by-detection system for pedestrian tracking, which incorporates a convolutional neural network (CNN) and color information. Pedestrians in video frames are localized using a CNN-based algorithm, and then detected pedestrians are assigned to their corresponding tracklets based on similarities between color distributions. The experimental results show that our system is able to overcome various difficulties to produce highly accurate tracking results.

• Journal of the Korean Society of Costume
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• v.17
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• pp.83-91
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• 1991

I observed the meaning and the symbolic charaeters about the color and style of clothes appearing at "GER GA JAP BOK GO" written by Kyu Soo Park. The black color of Hyun Eui as a ceremonial dress of man symbolizes Heaven and Virtue. The yellow color of Whang Sang as a ceremonial dress of man symbolizes the Earth and the Impartiality. The blue or black decoration line over white ground of Sim Eui as ordinary dress of man symbolizes also Filial Piety. In woman ordinary upper garment, So Eui, black texture edging with blue line implies the mutual symmetricity with her husband's. Besides, white color texture lining So Eui symbolical to a Devine Nature and Homage implies also the deep concealment of feminine body. The black ground color of child dress "Chi Po Eui" symbolizes Naivety, and the red silk color of it's decoration line, belt and tress ornaments implies the praise of the Virtue & Learning and also "Expel the Evil" of our traditional national characteristics. As described above the meaning and symbolic characters about the color and style of clothes appearing at "GER GA JAP BOK GO" has a very Chinese disposition, but it's author Kyu Soo Park modified somewhat to be in harmony with the real social situation of our Country during that latest stage of Yi Dynasty, because he was one of the prominent pragmatist at that time.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.2 no.2
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• pp.125-137
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• 1997

To study the vertical variation of heavy metal and Rare Earth Element (REE) contents in deep-sea sediments, eighteen cores were sampled from the Korea Deep-sea Environmental Study (KODES)-96 area in the C-C zone (Clarion-Clipperton fracture zone), northeast equatorial Pacific. Sediment columns can be divided into three units based on sediment colors and geochemical characters; uppermost Unit I with brown color, middle Unit II with pale brown color and smaller Ni/Cu ratio than the ratio in Unit I, and lowermost Unit III with dark (brown) colors and higher contents of Mn, Ni, Cu, and REEs than those in Unit I and II. Unit II can be divided more into two layers of upper Unit IIa and lower Unit IIb. Unit IIb is characterized by high contents of Cu, 3+REEs (REEs except Ce), smectite, and severely deteriorated fossil tests. Unit III can also be divided into two units; upper Unit IIIa with dark brown color, and lower Unit IIIb with black color and enriched Mn and Fe. The KODES area was located near from the East Pacific Rise (EPR) When Unit III Sediments were deposited, considering the hiatus between Unit II and III (Quaternary-Tertiary boundary) and the spreading rate (10 cm/yr) and direction (north southern west) of the Pacific plate from the EPR. High contents of Mn and Fe in Unit IIIb may be related with hydrothermal influence from the EPR. Meanwhile, Unit IIb (about 2~3 Ma) and Unit III (11~30 Ma) layers were probably formed near (or under) the equatorial high productivity zone, and accordingly received a lot of organic materials. As a result, Cu and 3+REEs, closely associated with organic materials, are enriched in smectite and/or Ca-P composites (fish bone debrise, biogenic apatite) after decomposition and reprecipitation on the sea floor. Higher contents of Cu and 3+REEs in Unit IIb and III are suggested to be the result of abundant supply of organic substances in the equatorial high productivity zone.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.697-704
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• 2018

Since the face in image content corresponds to individual information that can distinguish a specific person from other people, it is important to accurately detect faces not hidden in an image. In this paper, we propose a method to accurately detect a face from input images using a deep learning algorithm, which is one of the machine learning methods. In the proposed method, image input via the red-green-blue (RGB) color model is first changed to the luminance-chroma: blue-chroma: red-chroma ($YC_bC_r$) color model; then, other regions are removed using the learned skin color model, and only the skin regions are segmented. A CNN model-based deep learning algorithm is then applied to robustly detect only the face region from the input image. Experimental results show that the proposed method more efficiently segments facial regions from input images. The proposed face area-detection method is expected to be useful in practical applications related to multimedia and shape recognition.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.77.2-77.2
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• 2010

A high redshift quasar is useful to investigate the early part of our universe. Since they are one of the brightest objects in the early universe, they can provide us with clues of the growth of super massive black holes and the early metal enrichment history. To discover the high redshift quasars, we designed a survey of wide area and moderate depth; Infrared Medium-deep Survey (IMS), a J-band imaging survey of ~200 $deg^2$ area where the multi-wavelength data sets exist. To obtain the J-band data, we are using the United Kingdom Infra-Red Telescope (UKIRT), and so far we have covered ~20 $deg^2$ with Y- or J-bands over three observing runs during 2009. We used color-color diagrams of multi-wavelength bands including i, z, Y, J, K, $3.6{\mu}m$ and $4.5{\mu}m$ to select high redshift quasars. The major challenge in the selection is many M/L/T dwarfs, low redshift galaxies, and instrumental defects that can be mistaken as a high redshift quasar. We describe how such contaminating sources can be excluded by adopting multiple color-color diagrams and eye-ball inspections. So far, our selection reveals two quasar candidates at z~7.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.37.1-37.1
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• 2010

A high redshift quasar is useful to investigate the early part of our universe. Since they are one of the brightest objects in the early universe, they can provide us with clues of the growth of super massive black holes and the early metal enrichment history. To discover the high redshift quasars, we designed a survey of wide area and moderate depth; Infrared Medium-deep Survey (IMS), a J-band imaging survey of ~200 deg2 area where the multi-wavelength data sets exist. To obtain the J-band data, we are using the United Kingdom Infra-Red Telescope (UKIRT), and so far we have covered~40 deg2 with Y- or J-bands over 36 observing nights. We used color-color diagrams of multi-wavelength bands including i, z, Y, J, K, $3.6{\mu}m$ and $4.5{\mu}m$ to select high redshift quasars. The major challenge in the selection is many M/L/T dwarfs, low redshift galaxies, and instrumental defects that can be mistaken as a high redshift quasar. We describe how such contaminating sources can be excluded by adopting multiple color-color diagrams and eye-ball inspections. So far, our selection reveals one quasar candidates at z~7 and a few candidates at z~6. In this poster presentation, we will update the current status of the quasar selection in the IMS fields.

• Speech Sciences
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• v.2
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• pp.25-44
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• 1997

When listening the various speech synthesis systems developed and being used in our country, we find that though the quality of these systems has improved, they lack naturalness. Moreover, since the voice color of these systems are limited to only one recorded speech DB, it is necessary to record another speech DB to create different voice colors. 'Voice Color' is an abstract concept that characterizes voice personality. So speech synthesis systems need a voice color control function to create various voices. The aim of this study is to examine several factors of voice color control rules for the text-to-speech system which makes natural and various voice types for the sounding of synthetic speech. In order to find such rules from natural speech, glottal source parameters and frequency characteristics of the vocal tract for several voice colors have been studied. In this paper voice colors were catalogued as: deep, sonorous, thick, soft, harsh, high tone, shrill, and weak. For the voice source model, the LF-model was used and for the frequency characteristics of vocal tract, the formant frequencies, bandwidths, and amplitudes were used. These acoustic parameters were tested through multiple regression analysis to achieve the general relation between these parameters and voice colors.