• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.133-140
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• 2017

The purpose of this study is to provide a basic data of clothing development that can improve the satisfaction of the body shape by examining the subjective evaluation and characteristics of each type. The types of body shape of middle-aged women were analyzed as four types: elasticity loss ladder type, flat rectangular type, thin reverse ladder type, and upper body obesity inverted triangle type. The elasticity loss ladder type was developed with the lower body, and it was analyzed that the legs size such as the thighs and claves were large, the abdomen was protruded, and especially the underbelly appeared. The flat rectangular type was the largest of the four types, and was the skinny type. The width was larger than the thickness of the body, and the difference between the hip circumference and the waist circumference was small, and it was classified into a flat rectangular shape. The thin reverse ladder type was the smallest of the four types, the upper body was developed, the back had weight, and the body was leaning forward. And the lower body and leg were poor and the abdomen was protruding. Finally, the upper body obesity inverted triangular was the highest type of BMI index among 4 types. All of subjects belong to the mild and middle obesity, and the second was the smallest but the most weighted type among 4 types. They had the fat body and big bust, the upper body was developed, and the lower body and legs were analyzed to be poor body shape. Based on the body shape of middle-aged women, it is necessary to develop designs and patterns that can cover the shortcomings of body shape.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.137-147
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• 2010

This research was designed to compare the subjective evaluation of texture image and preference by structure and sensible characteristics of women's suits fabrics between on- and off-line. 78 subjects who majored in fashion design evaluated the sensibility image and preference of 15 various kinds of specimens on- and off-line. Factor analysis, t-test, Pearson correlation and regression were used for a statistical analysis by SPSS WIN 13.0. The results of this study were as follows: 1. Women's suits fabrics were classified according to five sensibility image factors: 'classic', 'sophisticated', 'natural', 'characteristic', and 'practical'. 2. The results of the t-test showed that there were no differences between the on- and off-line evaluation of sensibility images. 3. The analysis of correlation indicated that the 'classic'-'sophisticated' and 'natural'- 'practical' sensibility images show a significant correlation between the two kinds of evaluation. 4. The results of regression revealed that 'sophisticated', 'characteristic' and 'practical' sensibility images had an effect on the purchase preference of women's suits fabrics. 5. 'Sophisticated', 'characteristic' and 'classic' sensibility images had an effect on the tactile preference of women's suits fabrics. 6. The structural characteristics of fabrics: thickness, weave and weight had an effect on the 'classic' sensibility image. Thickness had an effect on the 'sophisticated' sensibility image and fabric count had an effect on the 'characteristic' sensibility image.

• Korean Journal of Community Nutrition
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• v.6 no.3
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• pp.331-339
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• 2001

This study was conducted to examine the predicting factors for the intention of breastfeeding with The Theory of Planned Behavior. The questionnaires were distributed to 131 primigravidas who were in their third trimester of pregnancy in Seoul, Kyonggido, Kyongsangbukdo, and Kyongsnagnamdo. Descriptive statistics, Pearsons Correlation and Multiple Regression were used to analyse the data. The subjects showed strong intention of breastfeeding. The subjects showed favorable attitudes toward breastfeeding. This fact showed significant correlation with the belief that their breastfeeding intention was due to the advantage of breast milk for the infant with regard to allergy prevention, disease protection, contribution to intellectual development, psychological closeness between mother and infant, convenience, cost, and the reduction of breast cancer risk and weight of the mother. No item of outcome evaluation did showed significant correlation with behavioral intension. The subjects were influenced about breastfeeding by their referents such as siblings and friends with breastfeeding experience, their mothers and husbands, and mothers-in-law. Most items of the control beliefs had a significant influence on the intention of breastfeeding. The subjects felt they could not control the situation ie. "when I have to breastfeed in public". However they felt they could control the situation ie. "when I suffer from mastitis", "when I have to cut down on coffee, alcohol, and smoking", "when I have Caesarean section", "when I need to maintain breast condition", and "when the infant hates to suck my nipple". Regression analysis revealed that control beliefs and attitudes toward breastfeeding could predict the behavioral intention of breastfeeding. Control beliefs were the most important factor in predicting behavioral intention. Therefore, nutrition education is needed to enhance the ability to cope with difficult situations while breastfeeding and increase faborable attitudes toward breastfeeding.eding and increase faborable attitudes toward breastfeeding.

• Journal of Nutrition and Health
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• v.36 no.4
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• pp.397-404
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• 2003

The present study was designed to compare the nutritional status of hemodialysis (HD) and continuous ambulatory peritoneal dialysis (CAPD) patients. Subjects were 58 HD patients (male/female = 29/29) and 33 CAPD patients (male/female = 23/10) undergoing dialysis treatment in Artificial Kidney Unit of Chonbuk National University Hospital. For nutritional assessment, %IBW (ideal body weight), %TSF (tricep skin fold), %MAC (mid arm circumference), %MAMC (mid arm muscle circumference), serum albumin, serum transferrin, TLC (total lymphocyte count), SGA (subjective global assessment) and estimated energy and protein intakes by 1-month food frequency method were used. Between HD and CAPD group, mean age (50 $\pm$ 12 vs. 52 $\pm$ 12 yr), dialysis durations (37 $\pm$ 36 vs. 30 $\pm$ 26 mon), dietary energy intakes (28.3 $\pm$ 9.0 vs. 28.8 $\pm$ 8.6 kcal/kg/day), dietary protein intakes (1.1 $\pm$ 0.4 vs. 1.2 $\pm$ 0.3 g/kg/day) and incidence of co-morbid conditions (69.0% vs. 69.7%) were not significantly different. Data by using SGA showed a higher incidence of malnutrition in CAPD patients (45.6%) than in HD patients (36.2%). %IBW (p < 0.001), %TSF (p < 0.001) and %MAC (p < 0.001) were higher in CAPD patients than were in HD patients. But serum albumin (p < 0.001) and transferrin (p < 0.001) were significantly lower in CAPD patients than were in HD patients. A higher incidence of malnutrition was shown in CAPD Patients than in HD Patients due to different dialysis type. A significant finding was that CAPD showed protein deficient malnutrition and HD did calorie deficient malnutrition. It suggests that an adequate dietary intake considering dialysis type prevents a prevalence of malnutrition.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.159-170
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• 2005

OC-SVM(One Class Support Vector Machine) avoids solving a full density estimation problem, and instead focuses on a simpler task, estimating quantiles of a data distribution, i.e. its support. OC-SVM seeks to estimate regions where most of data resides and represents the regions as a function of the support vectors, Although OC-SVM is powerful method for data description, it is difficult to incorporate human subjective importance into its estimation process, In order to integrate the importance of each point into the OC-SVM process, we propose a fuzzy version of OC-SVM. In FOC-SVM (Fuzzy One-Class Support Vector Machine), we do not equally treat data points and instead weight data points according to the importance measure of the corresponding objects. That is, we scale the kernel feature vector according to the importance measure of the object so that a kernel feature vector of a less important object should contribute less to the detection process of OC-SVM. We demonstrate the performance of our algorithm on several synthesized data sets, Experimental results showed the promising results.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1626-1635
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• 2006

The purpose of this study was to search for comfortable protective clothing for waste incinerator workers. The experimental protective clothing came in two types: one whose outer side made use of polypropylene film, and the inner side, a non-woven rayon fabric processed with charcoal with a 10% density (CF): and one whose outer side made use of polyolefine and polyamide films, and the inner side, a non-woven polypropylene fabric (NNCF). Experiments were conducted on five healthy adult women whose average age was 21. These experiments were conducted at a climate chamber, in which the temperature and relative humidity were set below $28{\pm}1^{\circ}C\;and\;50{\pm}10%$, respectively. Measured were the rectal temperature, the skin temperature, the sweating rate, the weight loss, the heart rate, the blood pressure, the temperature, and the relative humidity of a microclimate and subjective sensation. These were measured within a period of 60 min, consisting of a 20-min stable period, a 20-min exercise period (walking exercise for 2 miles/hr on a treadmill), and a 20-min recovery period. Through this experiment, the differences between the human body's physiological reactions to CF and NNCF clothing, and the human body's comfort levels when wearing these, were determined.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.18-26
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• 2009

Image resolution enhancement algorithm is a basic technique for image enlargement and restoration. The main problem is the image quality degradation such as blurring or blocking effects. In this paper, we propose loss information estimation and image resolution enhancement method using low level interpolation method. In the proposed method, loss information is computed by downsampling -interpolation process of obtained low resolution image. We estimate loss information of high resolution image using interpolation of the computed loss information. Lastly, we add up interpolated high resolution image and the estimated loss information which is applied a weight factor. Our experiments obtained the average PSNR 1.4dB which is improved results better than conventional algorithm. Also subjective image quality is more clearness and distinctness. The proposed method may be helpful for various video applications which required improvement of image.

• Food Science and Preservation
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• v.7 no.2
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• pp.133-138
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• 2000

The research was conducted to measure the effect of temperature on respiratory and quality characteristics of 'Tsugaru' apple(Malus domestica Borkh) during storage at 4$^{\circ}$C, 10$^{\circ}$C and 20$^{\circ}$C. Respiration rate of the apple just after harvest was 7.57 mL CO$_2$/kg/h at 20$^{\circ}$C. It was decreased rapidly and was 2.86 mL CO$_2$/kg/h after storage for 45 days at 20$^{\circ}$C. The apples showed the highest ethylene production rate at 10$^{\circ}$C and 20$^{\circ}$C after 14 days, and at 4$^{\circ}$C after 28 days during storage. Weight of the apple was reduced by 2.9% after 120 days at 4$^{\circ}$C and by 6.1% after 45 days at 20$^{\circ}$C. Color difference of peel and pH increased with the temperatures but titratable acidity and flesh firmness showed the reverse trends during storage. According to the subjective quality test, it could be suggested that the shelf-life of the apple is 86 days at 4$^{\circ}$C, 65 days at 10$^{\circ}$C and 37 days at 20$^{\circ}$C, respectively.

• Journal of the Korean Dietetic Association
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• v.20 no.4
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• pp.285-295
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• 2014

The purpose of this study was to examine changes in nutrient intake in patients at nutritional risk. We included 106 malnourished patients who were admitted to Severance Hospital from March to September 2014. The average age was $59.0{\pm}11.6$ years old and 59 patients were male (59.7%). The majority of diagnosis was cancer (94.3%). We evaluated patients' nutritional status by scored patient-generated subjective global assessment (PG-SGA), anthropometric measurement (height, weight, body composition by Bioelectrical impedance analysis), hand grip strength, biochemical and dietary assessment. The patients' daily intakes of energy and protein ($1,019.5{\pm}706.4kcal$, $40.4{\pm}27.7g$) during hospitalization were significantly lower than their usual intakes ($1,382.0{\pm}499.8kcal$, $54.4{\pm}25.1g$, P<0.001). Serum levels of albumin, cholesterol, and total lymphocytes were significantly reduced during hospital stay. The negatively influencing factors for reduced dietary intake were anorexia (42.5%), abdominal distention (14.2%), pain (13.2%), and others. The results of this study could be used to establish baseline data for developing new strategies for nutritional intervention in malnourished patients.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.137-143
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• 2017

X-ray image is a widely used to medical examination, airport security and cargo inspection. However, X-ray images contain many visual noise, which interrupt image analysis. Consequently, it is primary importance to reduce noises of X-ray image. In this paper, we present a improved denoise technique for x-ray image using pixel value and range weights. First, we denoise a x-ray image using bilateral filter. Next, we detect a edge region of the original x-ray image. If a denoised pixel belongs to the edge region, we calculate weighting values of original x-ray image and denoised x-ray image in $3{\times}3$ neighboring pixels and compute the cost value to determine the boundary pixel value. Finally, the pixel value having minimum cost is determined as the pixel value of the denoised x-ray image. Simulation results show that the proposed algorithm achieves good performance in terns of PSNR comparison and subjective visual quality.