• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.6
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• pp.894-902
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• 2016

The purpose of this study was to analyze the attributes considered as important by parents in the selection of laver for infants through conjoint analysis techniques. A total of 917 questionnaires were distributed in January 2016, of which 211 were completed (23.0%). Statistical data analyses were performed using SPSS/Win 21.0 for descriptive statistics and conjoint analysis. The conjoint design was applied to evaluate the hypothetical laver for infants. According to the analysis of attributes and levels of laver for infants, the relative importance of each attribute was follows: seasoning (26.55%), flavor (19.33%), texture (18.75%), oil (15.15%), size (10.61%), and certification (9.61%). The results of the conjoint analysis indicate that parents raising infants preferred laver with the characteristics of non-seasoning, general flavor, softness, half-size, organic certification, and perilla oil. The most preferred laver for infants gained a 53.7% potential market share from choice simulation compared with laver being sold. Using utility and relative importance, the laver market for infants was classified into two segments. As a result of market segmentation, parents of cluster 1 preferred the laver model being sold (soy seasoning) while parents of cluster 2 preferred the optimized laver model (non-seasoning).

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.79-99
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• 2015

The prediction of bankruptcy has been extensively studied in the accounting and finance field. It can have an important impact on lending decisions and the profitability of financial institutions in terms of risk management. Many researchers have focused on constructing a more robust bankruptcy prediction model. Early studies primarily used statistical techniques such as multiple discriminant analysis (MDA) and logit analysis for bankruptcy prediction. However, many studies have demonstrated that artificial intelligence (AI) approaches, such as artificial neural networks (ANN), decision trees, case-based reasoning (CBR), and support vector machine (SVM), have been outperforming statistical techniques since 1990s for business classification problems because statistical methods have some rigid assumptions in their application. In previous studies on corporate bankruptcy, many researchers have focused on developing a bankruptcy prediction model using financial ratios. However, there are few studies that suggest the specific types of bankruptcy. Previous bankruptcy prediction models have generally been interested in predicting whether or not firms will become bankrupt. Most of the studies on bankruptcy types have focused on reviewing the previous literature or performing a case study. Thus, this study develops a model using data mining techniques for predicting the specific types of bankruptcy as well as the occurrence of bankruptcy in Korean small- and medium-sized construction firms in terms of profitability, stability, and activity index. Thus, firms will be able to prevent it from occurring in advance. We propose a hybrid approach using two artificial neural networks (ANNs) for the prediction of bankruptcy types. The first is a back-propagation neural network (BPN) model using supervised learning for bankruptcy prediction and the second is a self-organizing map (SOM) model using unsupervised learning to classify bankruptcy data into several types. Based on the constructed model, we predict the bankruptcy of companies by applying the BPN model to a validation set that was not utilized in the development of the model. This allows for identifying the specific types of bankruptcy by using bankruptcy data predicted by the BPN model. We calculated the average of selected input variables through statistical test for each cluster to interpret characteristics of the derived clusters in the SOM model. Each cluster represents bankruptcy type classified through data of bankruptcy firms, and input variables indicate financial ratios in interpreting the meaning of each cluster. The experimental result shows that each of five bankruptcy types has different characteristics according to financial ratios. Type 1 (severe bankruptcy) has inferior financial statements except for EBITDA (earnings before interest, taxes, depreciation, and amortization) to sales based on the clustering results. Type 2 (lack of stability) has a low quick ratio, low stockholder's equity to total assets, and high total borrowings to total assets. Type 3 (lack of activity) has a slightly low total asset turnover and fixed asset turnover. Type 4 (lack of profitability) has low retained earnings to total assets and EBITDA to sales which represent the indices of profitability. Type 5 (recoverable bankruptcy) includes firms that have a relatively good financial condition as compared to other bankruptcy types even though they are bankrupt. Based on the findings, researchers and practitioners engaged in the credit evaluation field can obtain more useful information about the types of corporate bankruptcy. In this paper, we utilized the financial ratios of firms to classify bankruptcy types. It is important to select the input variables that correctly predict bankruptcy and meaningfully classify the type of bankruptcy. In a further study, we will include non-financial factors such as size, industry, and age of the firms. Thus, we can obtain realistic clustering results for bankruptcy types by combining qualitative factors and reflecting the domain knowledge of experts.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.888-896
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• 2014

This study examines the effect of college students' interpersonal relations disposition on appearance concern and appearance management behavior. Questionnaires were administered to 202 college students living in Daegu. The SPSS 20.0 package was utilized for data analysis which included frequency analysis, Cronbach's ${\alpha}$, factor analysis, cluster analysis, regression analysis, t-test and logistic regression. Five factors of appearance management behavior (body management behavior, skin care behavior, hair/fashion behavior, cosmetics usage behavior, plastic surgery behavior), seven factors of interpersonal relations disposition (independent/responsibility, sympathetic/receptive, sociable/friendly, competitive/aggressively, conspicuous/narcissistic, defiant/distrust, dominant /supreme) and two groups of appearance concern (high, low) were utilized for the problem analysis of the study. The results of this study were: First, Interpersonal relations disposition had an influence on appearance management behavior. Conspicuous/narcissistic type showed a positive influence on body management behavior, skin care behavior, hair/fashion behavior, cosmetics usage behavior, plastic surgery behavior. The sympathetic/receptive type showed a positive influence on skin care behavior and the competitive/aggressively type showed a positive influence on hair/fashion behavior; however, independent/responsibility type showed a negative influence on cosmetic usage behavior. Second, dominant /supreme type showed a negative influence on appearance concern; however, conspicuous/narcissistic type and defiant/distrust type showed a positive influence on appearance concern. Third, the appearance concern groups showed differences on appearance management behavior. The higher appearance concern group compared to the low appearance concern group were more active for cosmetics usage behavior, hair/fashion behavior, plastic surgery behavior, body management behavior and skin care behavior.

• Fashion & Textile Research Journal
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• v.14 no.5
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• pp.791-802
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• 2012

This study promotes education, purchase, and advertisement activities related to eco-friendly apparel products. The study examined college students and their demographic characteristics, their recognition of and interest in, knowledge, purchase, and attitude towards advertisements related to eco-friendly apparel products. In this study, 337 students from various universities in Daejeon participated in a questionnaire survey from March 7 to March 25, 2011. The collected materials were analyzed by frequency analysis, factor analysis, cluster analysis, cross tabulations analysis, and t-test using SPSS 18.0 software. The results of these tests revealed that more students from the upper grades belonged to the Environmentally Friendly Group compared to those in the Non-environmentally Friendly Group. It was also found that students in the Environmentally Friendly Group had a higher level of consciousness and expressed a greater interest in eco-friendly apparel products as well as towards the launch of educational programs. Additionally, this group was more supportive of the need for new courses and had a higher likelihood to enroll in these courses. The research results revealed that (compared to the Non-environmentally Friendly Group) the Environmentally Friendly Group exhibited a greater satisfaction with the designs of eco-friendly apparel products and had more experience to examine advertisements about eco-friendly apparel products; in addition, they expressed a higher likability and reliability to these advertisements. The results also showed that the Environmentally Friendly Group believed that advertisements had persuasive power and were quite impressive in recalling the advertisements.

• Fashion & Textile Research Journal
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• v.14 no.5
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• pp.834-845
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• 2012

This study was conducted to provide basic information on developing highschool-uniform pants with more suitable fit and to suggest a sizing system for highschool girls' uniform pants that adequately reflects their body figures. To understand the features of high school girls' lower body type, the body measurement values of 833 girls from 16~18 years of age based on Size Korea(2010) were analyzed statistically. For the classification of lower body type for high school girls, a factor analysis and cluster analysis were conducted. The collected data were processed with the programs SPSS 18.0 for windows. The results in this study are follows: The lower body types for high school girls were divided into 3 groups. Body Type A is average stature but the biggest circumference, Type B is the biggest stature and the medium body type, Type C is the smallest stature and skeleton structure. KS size intervals were used for frequency distribution of height and waist for the lower body. Sizing system of the uniform company and frequency distribution of sizes were compared. Using the two-way distribution of highschool girls' waist circumference and hip circumference, sizing system considering body type distribution and high frequency distribution section of sizes was suggested. This study established new sizing system depending on lower body fixed as 26 number of sizes. The most suitable standard is fixed as 12 number of sizes ; 64-88, 64-91, 67-88, 67-91, 67-94, 70-91, 70-94, 70-97, 73-94, 73-97, 76-97, 76-100. The coverage is also calculated. And the coverage of new standard was 63.5%. The continuous study on the uniform pants sizing system of the obesity types is required.

• 한국균학회소식:학술대회논문집
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• 2014.05a
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• pp.25-25
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• 2014

Koji molds are comprised of yellow, black and white. Black and white koji molds were recently re-visited by this author and it is concluded that they consists of Aspergillus luchuesnsis, A. niger and A. tubingensis, and the most important species for alcoholic beverage production is A. luchuensis. In the case of yellow koji mold, it is comprised of Aspergillus oryzae, A. sojae and A. tamari. In the case of A. sojae, the species is scarcely isolated from nature and rarely used for industry in Korea. Aspergillus tamari is often isolated from traditional Korean Meju, a fermented soybean product, and the classification of the species is clear. However, in the case of A. oryzae, differentiation between A. oryzae and A. flavus is still in controversy. In this study, we collected 415 strains of Aspergillus flavus/oryzae complex from air, rice straw, soybean, corn, peanut, arable soil and Meju in Korea and we examined the aflatoxin producing capacity of the strains. The norB-cypA, omtA and aflR genes in the aflatoxin biosynthesis gene cluster were analyzed. We found that 367 strains (88.4%) belonged to non-aflatoxigenic group (Type I of norB-cypA, IB-L-B-, IC-AO, or IA-L-B- of omtA, and AO type of aflR), and only 48 strains (11.6%) belonged to aflatoxin-producible group (Type II of norB-cypA, IC-L-B+/B- or IC-L-B+ of omtA, and AF type of aflR). In the case of A. flavus/oryzae strains from Meju, almost strains (178/192, 92.7%) belonged to non-aflatoxigenic group and only 14 strains (7.3 %) belonged to aflatoxin-producible group. It is proposed in this study that non-aflatoxigenic strain from Meju is classified as A. oryzae, considering that Meju is food material.

• Fashion & Textile Research Journal
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• v.19 no.6
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• pp.795-803
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• 2017

This research aimed to figure out the effects of physical features such as BMI, garment size and socio-psychological factors such as self-esteem and depression on the body management. A survey was conducted for women in their 40's and 50's. The participants in this study consisted of 197 women recruited in Daegu and the surrounding areas. Statistical analysis including factor analysis, ANOVA, cluster analysis and regression was done using SPSS 23.0 to analyze the results. Among 3 clusters divided by BMI, normal group showed higher body cathexis compared with overweight group and obesity group. S-size group showed higher body cathexis rather than M, L-size groups. L-size group showed higher scores in nonsurgical body management factor. Self-esteem(+)/depression(-) group showed highest body cathexis among 4 groups clustered by self-esteem and depression levels. On the other hand, self-esteem(-)/depression(+) group showed the lowest body cathexis and highest surgical body management and nonsurgical body management factors. This result meant that the lower in self-esteem and the higher in depression, body cathexis decreased and desire for body management increased. As the results of analysis of the effects of BMI, garment size, self-esteem, depression level on body management, depression was a significant factor on surgical body management; depression and garment size were critical factors on nonsurgical body management.

• Environmental Engineering Research
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• v.23 no.1
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• pp.28-35
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• 2018

$17{\alpha}-ethinylestradiol$ (EE2), a synthetic estrogen which interfere the endocrine and reproductive function in living organisms, has been found extensively to be deposited into municipal wastewater treatment plants and the environment via human excretion. EE2 has long been known to be efficiently cometabolized by ammonia-oxidizing bacteria (AOB) during ammonia ($NH_3$) oxidation. Current study aims to investigate the effect of culture history on the biotransformation of EE2 by nitrifying sludge which was enriched under different ammonia loading rates in continuous flow reactors. Result showed that past growth condition largely affected not only the metabolic rate of $NH_3$ oxidation but also EE2 cometabolism. Sludge previously acclimated with higher $NH_3$ loads as well as sludge dominated with AOB belong to high growth cluster (Nitrosomonas europaea-Nitrosococcus mobilis) showed higher rate of EE2 biotransformation than those one being acclimated with lower $NH_3$ loads because of its ability to provide more reducing power from $NH_3$ oxidation. Moreover, the correlation between the degradation rates of $NH_3$ and EE2 was higher in sludge being acclimated with higher load of $NH_3$ in comparison with other sludge. Implication of the findings emphasized the role of volumetric $NH_3$ loading rate in determining EE2 removal in wastewater treatment system.

• Journal of Fashion Business
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• v.10 no.5
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• pp.159-179
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• 2006

This research checked about the necessity for the development of men's dress forms in the first investigation for the educational circle and the men's wear industry. Somatotype characteristics were analyzed in the second investigation of body measurement with the subjects of 200 male adults in their twenties residing in Busan. The following are the results of the present research to develop male dress forms for patternmaking: 1. In the group analysis for the characterization of front body types, three somatotypes were found and named H, Semi X, and Y. In the cluster analysis of side body types, four types were identified: D, I, d, and q. In the combination of front and lateral body types, four kinds were chosen: semi X-I, semi X-q, semi Y-I, and Y-q. 2. Through the comparison of plane figures by the plaster method as well as horizontal and vertical cross sections by the sliding gauge method, semi X-I was finally chosen as the standard somatotype for male dress form development. 3. Compared with the sliding gauge method of the present dress forms, the research dress form reflected better the shapes of the parts of the back and hips and the position of the waist, especially for males in their 20's. In addition, the dress form in the current research had superior points in all the items of clothing evaluation. Based on the above results, the sizes and models of the men's dress forms for patternmaking were developed.

• Journal of Fashion Business
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• v.11 no.4
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• pp.29-41
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• 2007

This study is to research how women aging from 20 through 40 Apperance -Mnagement Bhavior and care of their outer looks from a beauty treatment perspective. This research should help satisfy the wants of women who are the main clients of the beauty products and help the beauty industry to produce new products and also to help out on their marketing strategy. In order to search the general characteristics of our target women, Frequency Analysis was used, to find out the sub-factor of interest in beauty Factor Analysis and Reliability Analysis was used. In order to divide the group according to Degree of Apperance Concern 'sub-factor, cluster analysis, analysis of variance, Scheffe'-test, $X^2-test$ was used, and to find out the difference on how they care of beauty analysis of variance was used, and further more to summarize the result of analysis of variance Scheffe'-test was used. As a result, in all different ways of beauty caring, weight resisting, skin care and plastic surgery summed up similarly among the self-care group, hair care ended up with similar results among all three groups: self-caring group, no interest in beauty at all group, and the too conscious of other eyes group, and results on the interest rate of clothing ended up similarly among the other-eye conscious group, beauty care interest group, and the self-care group.