• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.45 no.5
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• pp.64-70
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• 2013

In this study, the effect of soxhlet extraction on dewaxing of the aged beeswax-treated paper was examined. To do this, soxhlet extraction of the aged beeswax-treated paper performed with different reflux conditions and then measured the dewaxing efficiency and change in the various properties such as tensile strength, folding endurance, color and brightness. Also, an artificial aging test was executed in order to investigate the effect of soxhlet extraction on the preservability of the dewaxed paper. As the result of FT-IR analysis, a peak area of CH and COOH group, which are main band of beeswax, was decreased or removed after soxhlet extraction. The decreasing rate of each peaks were increased depending on reflux time. After dewaxing, the physical property such as MIT type folding endurance and tensile strength was decreased. And $L^*$ value and brightness were increased while $a^*$ and $b^*$ value were decreased due to the remove of color compounds in beeswax. The more color deviation (${\Delta}E$) is expected with higher reflux times. As the result of artificial aging, preservability of two dewaxed papers except of DP_SE(C) sample was higher than that of untreated paper i.e. beeswax-treated paper.

• Preventive Nutrition and Food Science
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• v.14 no.4
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• pp.373-377
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• 2009

Safflower seed extract was prepared by a high-pressure extraction technology and its quality characteristics were compared to that of other conventional extraction techniques, such ultrasonic and reflux extractions. Safflower seeds were extracted with 80% aqueous ethanol by three above extraction methods, and further fractionated with Diaion HP-20 column chromatography to obtain a partially purified safflower seed extract (PPSSE). Among the three extraction techniques examined, the reflux extraction showed the higher yields of EtOH extract and PPE than the ultrasonic and high-pressure extractions. Levels of most phenolic compounds in the EtOH extract of safflower seed are higher in reflux and ultrasonic extractions than the high pressure extraction, but levels of two serotonin aglycones, N-(p-coumaroyl)serotonin (CS) and N-feruloylserotonin (FS), in PPSSE were higher in the high pressure extraction than the reflux and ultrasonic extractions. In addition, color values (L and a) of the PPSSE were higher in the high-pressure extraction than the reflux and ultrasonic extractions, although there were no significant differences in pH and UV maxima absorption spectra among three extraction techniques. These results indicate that the high-pressure extraction technology is a simple and effective extraction for preparation of a high quality of safflower seed extract containing CS and FS with anti-wrinkle activity.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.44 no.6
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• pp.50-57
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• 2012

In this study, the beeswax extraction methods using organic solvents were examined to develop a optimal dewaxing technology for beeswax-treated Hanji. Thermally-aged beeswax-treated Hanji was dewaxed using four types of extraction methods including dipping, Soxhlet extraction, ultrasonic washing and shaking methods. Then, the aging stability of the dewaxed Hanji was evaluated in terms of variations in paper strength and in the color of the printed area with muk. The experimental results suggested that the dewaxing methods allowing solvent to flow during extraction showed superior extraction efficiency. The dipping method in which the organic solvent does not flow showed the slowest extraction rate of beeswax compared to three other methods. In terms of variations in tensile strength and folding endurance, however, no obvious differences in the aging stability were observed amongst these four extraction methods. Regarding the aging stability in terms of the color of the printed area with muk, Soxhlet extraction method showed the best performance of dewaxing.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.2
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• pp.106-110
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• 2014

This paper proposed the face recognition method which can be effectively applied to the robot's vision system. The proposed algorithm is recognition using hue extraction and feature point. hue extraction was using difference of skin color, pupil color, lips color. Features information were extraction from eye, nose and mouth using feature parameters of the difference between the feature point, distance ratio, angle, area. Feature parameters fuzzified data with the data generated by membership function, then evaluate the degree of similarity was the face recognition. The result of experiment are conducted with frontal color images of face as input images the received recognition rate of 96%.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.3
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• pp.429-437
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• 1996

This paper surveys extraction condition-temperature, pH, and changes of adsorbance in accordance with extraction condition of curcuma Longa L. solution. Using extracted curcuma Longa L. Solution, dyeing behaviors with natural fiber, effect of mordants to color fastness and color change were investigated. It was found that the amount of absorption (K/S value) was increased by mordants (Fe, Cr) and mordants treatment affected color change of dyed fabric. Among the mordants, effect of citric acid to color change of dyed fabric was the smallest, and color difference of post- mordant treatment is smaller than that of pee-mordant treatment in making use of citric acid as mordant. And K/S value of post mordant was higher than that of pre mordant. It was found that the pre - and post- mordants treatment little affected color fastness, but affected the amound of adsorption and color change of dyed fabric.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.459-465
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• 2013

This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.

• Journal of the Korean Society of Costume
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• v.49
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• pp.73-84
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• 1999

The purpose of this study was to investigate dyeing properties of silk and wool fabric by Cassia tora extracts according to the conditions such as extraction(temperature time) dyeing(temperature time) condition kinds of mordants temperature of mordanting. The color fastness of laundering irradiation were examined. The results were as follows: The wavelength of maximum absorpthion by extracts appeared at 201, 277, 382nm in UV-Vis spectrum. Absorbance of extracts were increased with temperature and time. The extraction efficiency of Cassia tora was determined as $95^\circ{C}$ of extraction temperature 120 minutes of extraction time. Silk fabric had highest K/S value when dyeing for 90min at $40^\circ{C}$. Wool fabric had highest K/S value when dyeing for 60min at $80^\circ{C}$. Surface color of silk and wool fabric dyed with Cassia tora extracts was 3,9Y and 0.4Y but it was changed from 9.3YR to 7,4Y and from 9.4YR to 5Y by mordants. The fabrics of mordanted by metal ion dyed the depth of color. Laundering and irradiation fastness of mordanted fabrics were improved as compared with nonmordanted fabrics.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.139-142
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• 2001

This paper presents a highly fast and accurate facial region extraction method by using the skin-color-reference map and motion information. First, we construct the robust skin-color-reference map and eliminate the background in image by this map. Additionally, we use the motion information for accurate and fast detection of facial region in image sequences. Then we further apply region growing in the remaining areas with the aid of proposed criteria. The simulation results show the improvement in execution time and accurate detection.

• Journal of Korea Multimedia Society
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• v.8 no.5
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• pp.633-640
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• 2005

In this paper, we propose an adaptive face region extraction algorithm based on skin color information. It consists oi the extraction of face candidate region and projection step. In the step of face candidate region extraction, we extract the pixels which are regarded as the candidate skin color pixels by using the given range. Then, the ratio between the total pixels and the extracted pixels is calculated. According to the ratio, we adaptively decide the range of the skin color and extract face candidate region. In the projection step, we project the extracted face candidate region into vertical direction to estimate the width of the face. Then the redundant parts are efficiently removed by using the estimated face width. And the extracted face width information is used at the horizontal projection step to extract the height of the face. From the experiment results for the various images, the proposed algorithm shows more accurate results than the conventional algorithm.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.71-80
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• 2007

In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person's shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.