• Journal of the Korean Society of Costume
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• v.57 no.9
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• pp.88-96
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• 2007

The purpose of this study is to present examples for modern application with traditional color on ceremonial costume of Korean folk belief which is regarded as representative research material standing for Korean cultural archetype. The arrangements of color on the ceremonial costume of Korean folk belief were selected from 11 items specified as an import intangible cultural asset. These color arrangements were composed of fundamental colors from the viewpoint of modern color sensation, but had a excellent harmony in Hue. Therefore, not shifting Hue of color arrangement on ceremonial costume, traditional color arrangement was apply to contemporary it by shifting tone. Brilliant and deep chromatic tone that belong to 3, 4 area was converted into toned light grey, light clear, dark deep, toned dark grey, and greyish chromatic tone that belong to 1, 2 area or 5, 6, 0 area or 2, 7, 9 area. The plan that applies arrangement color with brightness contrast of traditional fundamental colors on a modern color harmony was presented from that. Like this, we can combine traditional color into modern color sensation, stylize and apply it on a production of character, logogram design, fashion design for characters in animation or game. From this, we'll be able to be close to the color arrangement sensation including our racial emotion in the everyday life.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.48-55
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• 2022

The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.

• Korean Journal of Bronchoesophagology
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• v.3 no.1
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• pp.159-163
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• 1997

The complications of deep neck infection have become much less common in the antibiotic era. The vascular complications of deep neck infection can have devasting consequences. Most commonly, the internal carotid artery is involved, although the common carotid and external carotid artery can also be affected.0 the cases of patients with a protracted course, recurrent bleeding, cranial neuropathies, or trismus, the presence of vascular complications must be considered. Appropriate imaging should be carried out to allow the localization of the infection and ascertain the status of the vessels in the neck The vascular structures can be imaged with duplex doppler or color doppler flow ultrasound to see the flow between the mass and vessels. Also angiography plays a key role in the diagnosis and management of vascular complication of deep neck infection. Prompt diagnosis and treatment of these patients is necessary to prevent significant hemmorrhagic complications. We experienced a case of pseudoaneurysm of the common carotid artery secondary to deep neck infection treated successfully with surgical excision in 45-year-old-male.

• Journal of the Korean Society of Costume
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• v.57 no.6 s.115
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• pp.62-70
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• 2007

The purpose of this study was to examine a unique characteristic of the colors of the costumes in Korean basic culture in the aim of seeking Five-elements color found in Korean civilian's costume culture. The scope of Korean basic culture was 32 items specified as an import intangible cultural asset in the side of religion and art for the majority of the Korean people. Within these limits, the colors of the dress, accessories, instruments were extracted by comparing with the naked eye in NCS Color System. The result of this investigation was that Red was yellowish red and high chromatic and deep tone within 4area. Blue was purplish blue and high chromatic and deep tone within 4area, similarly Red. Yellow was pure yellow and high chromatic and bright tone within 3area. Red and Blue in Korean basic culture were more primary color and more high brightness than Korean traditional colors. Religion and art fer Korean civilian revealing the Korean basic culture reflected impending real-life of Korean civilian who intend to overcome their desperate reality at using Five-elements color in their costume.

• Textile Coloration and Finishing
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• v.35 no.2
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• pp.82-96
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• 2023

The purpose of this study is to enhance the usability of hanji fabrics by expanding the color space of hanji fabrics. For the expression of various colors of hanji fabrics, single and combination dyeing were carried out using natural indigo(Niram, Polygonum tinctorium), marigold extract colorant, and madder extract colorant for three types of hanji fabrics with different fiber compositions(hanji, hanji/cotton, hanji/silk). The light, medium, and deep colors obtained through individual single dyeing were shown to be PB Munsell colors in the case of indigo dyeing, Y color for marigold dyeing, and R color for madder dyeing. For combination dyeing, indigo dyeing was first carried out under the conditions for light, medium, and deep colors, respectively, and marigold or madder dyeing was performed thereafter. Indigo and marigold combination dyeing produced PB, B, BG, G, and GY Munsell colors and indigo and madder combination dyeing produced PB, P, RP, and R Munsell colors. Overall, the color change of hanji/silk fabric was more diverse than that of hanji fabric and hanji/cotton fabric. In the indigo, marigold, and madder combination dyeing into individual deep colors, blackish PB and P Munsell colors was obtained. Colorfastness to washing, dry cleaning, rubbing, and light were relatively good with above rating 4. Finally, 9 colors excluding YR color out of 10 Munsell color were obtained. We confirmed that the expansion of the color space of Hanji fabrics by the single and combination dyeing with indigo, marigold, and madder.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.2
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• pp.266-279
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• 2010

This research investigates the influence of color as an important factor of the visual image created by clothes. First, the factor analysis of the adjectives describing the images of clothes shows that the images of clothes are classified into 4 factors that include attraction, brightness, femininity, and the figure type (of which the attraction factor and brightness factor were found to be important dimensions). Second, as for the images of feminine style clothes colors, violet appears more refined and attractive than other colors in all 3 tones. Red appears as a brilliant and glowing image in a vivid tone. Yellow in a vivid tone and pale tone, and red in deep tone appear as a warm image, while blue appears as a cold image in all 3 tones. Blue and violet appear as a tall and slim image in all 3 tones. As for the images of mannish style clothes colors, yellow in vivid tone, violet in pale tone and red in deep tone appear as the most refined and attractive image, while green in all the tones appears as a rustic and unattractive image. Red in vivid tone, yellow in pale tone and violet in deep tone appear as a very brilliant and glowing image. Red in pale tone and deep tone appear as a warm and feminine image. Third, yellow in all the tones is evaluated to be attractive in the mannish style in the comparison of the image of feminine and mannish style clothes color, while blue in a pale tone in feminine style and in deep tone in mannish style earned high points. Red and violet did not show any significant differences between the two styles.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1624-1631
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• 2021

With the continued development of image processing technology, we live in a time when it is difficult to visually discriminate processed (or tampered) images from real images. However, as the risk of fake images being misused for crime increases, the importance of image forensic science for identifying fake images is emerging. Currently, various deep learning-based identifiers have been studied, but there are still many problems to be used in real situations. Due to the inherent characteristics of deep learning that strongly relies on given training data, it is very vulnerable to evaluating data that has never been viewed. Therefore, we try to find a way to improve generalization ability of deep learning-based fake image identifiers. First, images with various contents were added to the training dataset to resolve the over-fitting problem that the identifier can only classify real and fake images with specific contents but fails for those with other contents. Next, color spaces other than RGB were exploited. That is, fake image identification was attempted on color spaces not considered when creating fake images, such as HSV and YCbCr. Finally, dropout, which is commonly used for generalization of neural networks, was used. Through experimental results, it has been confirmed that the color space conversion to HSV is the best solution and its combination with the approach of increasing the training dataset significantly can greatly improve the accuracy and generalization ability of deep learning-based identifiers in identifying fake images that have never been seen before.

• Journal of Fashion Business
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• v.15 no.5
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• pp.161-177
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• 2011

The purpose of this research is to analyze the effect of the traditional color sentiment on the contemporary clothing color by researching the street fashion of 2010 Winter season of Dalian in China, in view of the clothing color of women in their 20-30 years of age, along with traditional Chinese color. This is the 2nd paper following the paper no. 1, focusing on 2010 Summer season, so the research method is same as the paper no. 1. As a result, Black and deep tone PB color most frequently appeared. The vivid and strong tone of R, YR, Y color showed high frequency of clothing colors. This results illustrate that the clothing color choices of Chinese women was affected by Chinese traditional color sentiment rather than the international color trend. Characteristically, in winter season, frequency of R and Y color categories were higher than in summer season, specially in the top and accessories color, those colors showed higher frequency than the other colors. These were the important points in dealing with winter color trend, so that the fashion company and brands should take it an important points when they are planning winter clothing colors. The achromatic colors show the high frequency in both seasons. The bottom color shows high incidence of Black and deep tone of PB color categories as in the previous researches. That means consistent color trend existed in Dalian city, however it does not seem to have its origin from traditional Chinese color preferences. This kinds of regional and seasonal research might contribute to finding the basic informations about the design and marketing strategies to launch into the Chinese fashion market.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.7 no.2
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• pp.98-104
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• 2014

Purpose: To evaluate the incidence of deep vein thrombosis (DVT) before hip fracture by duplex color Doppler ultrasonography. Materials and Methods: From June 2013 to May 2014, 27 patients who had agreed to perform color Doppler ultrasonography before hip fracture surgery were evaluated for the incidence of DVT. Patients who had history of DVT were excluded. Five patients were men and 19 patients were women. The mean age was 74.3 years old (41-87). There were 15 cases of femoral neck fracture, 11 cases of intertrochanteric fractures and one case of acetabular fracture. Surgical intervention underwent within 48 hours from admission and duplex color Doppler ultrasonography was carried out at the day of admission. Results: DVT occurred in six cases (22.2%). Four cases (14.8%) occurred in proximal deep vein and two cases (7.4%) occurred in distal deep vein. The mean period of immobilization was longer in patients who had DVT. But there was no significant difference. The mean age was 79 years old (75-87) in patients who had DVT and 72 years old (65-86) in patients who had not. There was significant difference (p=0.038). Conclusion: The incidence of DVT which was diagnosed by duplex color Doppler ultrasonography before hip fracture surgery was relatively high (22.2%). So it is necessary to undergo duplex color Doppler ultrasonography more aggressively to rule out DVT before hip fracture surgery.

• Food Science of Animal Resources
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• v.40 no.3
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• pp.444-460
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• 2020

This study was conducted to investigate the effects of freezing and storage temperature (-18℃, -50℃, and -60℃) on the physicochemical properties of pork neck and chicken leg meat in home-scale deep freezers. Pork neck was cut into a thickness of 3 cm (9×9×3 cm, 150 g), individually packed in air-containing packages, and stored at different temperature (-18℃, -50℃, and -60℃) for 6 months. Chicken leg meats were prepared (10 cm long, weighing 70 g) and packed in the same manner. Frozen samples were thawed at 2℃. Physicochemical properties such as thawing loss, cooking loss, water-holding capacity, color, volatile basic nitrogen (VBN), and thiobarbituric acid reactive substances (TBARS) were evaluated. The samples frozen by deep freezing (-60℃) was favorable with respect to thawing loss, color, and VBN. Samples frozen at -60℃ had lower values of thawing loss and VBN than those frozen at -18℃ for all storage periods (p<0.05). Color parameters were more similar to those of fresh meat than to those of samples frozen at -18℃ for 6 months. The TBARS of all samples were below 0.3 mg malondialdehyde/kg, thereby indicating oxidative stability of lipids. Consequently, deep freezing at -60℃ may be acceptable for maintaining the quality of fresh pork neck and chicken leg meat for 6 months without deterioration.