• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.248-251
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• 2006

This paper provides the basic theory and numerical results of shell design optimization considering the appearance of close natural frequencies in optimization process. In this study the fundamental natural frequency to be maximized is considered as the objective function and the initial volume of structures is used as the constraint function. In addition, the constraints related to natural frequency is also adopted to avoid the natural frequency closeness phenomenon during the optimization iteration. The Coon's patch is used to represent the shape and thickness distribution of shells. A degenerated shell finite element is adopted to calculate the fundamental natural frequency of the shells. The SQP available in the optimizer DoT is used to search optimum solution. From numerical results, the introduction of the frequency constraint into shell design optimization can deeply affect on the final optimum shape of shells although it is likely to be used to avoid the frequency closeness phenomenon.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.307-315
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• 2008

The purpose of this study was to examine the influence of purchase behavior of Cosmeceuticals according to appearance concern. The subjects of this study were 709 women aged for 20 to 50 living in Daegu. The questionnaires were conveniently sampled from December 20 to 31, 2007. The SPSS 12.0 package was use for data analysis which included Frequency analysis, Factor analysis, Cronbach's a and Analysis Structural Equation Modeling by use of Amos 5.0. The results of this study were as follows; Appearance concern had influence on usage behavior of cosmeceuticals and usage satisfaction of cosmeceuticals, but appearance concern had not influence on usage preference of cosmeceuticals. Usage behavior of cosmeceuticals had influence on usage satisfaction of cosmeceuticals and usage preference of cosmeceuticals. And usage satisfaction of cosmeceuticals had influence on usage preference of cosmeceuticals.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Korean Journal of Human Ecology
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• v.21 no.1
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• pp.15-25
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• 2012

The purpose of this study was to examine the relationship between (1) differences in parents' interest in their children's weight, appearance orientation, eating habits and appearance evaluation, and depression based on children's gender, and (2) the pathway to children's depression. The participants in this research included 641 fourth-grade children (300 boys and 341 girls) who participated in a Korean Survey on Obesity of Youth and Children in 2009. Data were analyzed through frequency, percentage, Pearson's correlations using SPSS 19.0 and path analysis with AMOS 7.0. The findings are as follows. First, girls demonstrated higher scores in all variables except depression when compared to boys. Second, all variables indicated a direct or indirect influence on boys' depression, and appearance orientation had the greatest total effect on boys' depression. For girls, all variables again indicated a direct or indirect influence on depression, and again appearance orientation had the greatest total effect on girls' depression. However, the pathways to depression were different based on children's gender. The implications for future studies are also discussed.

• Journal of Korean Elementary Science Education
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• v.26 no.3
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• pp.329-340
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• 2007

This study is to find out how well elementary school gardens work as places of observation learning. We compared the tree species planted in elementary school gardens with those which appeared in the science textbooks of the 7th Korean National Curriculum. The number of tree species are 60 throughout all the grades, specifically; 43 in the third grade, 22 in the fifth grade, 16 in the first grade, 15 in the second grade, 8 in the sixth grade, and 5 in the fourth grade, respectively. Their frequency of appearance (hereafter referred to as 'appearance frequency') throughout all the grades is 175, and the maximum frequency is 62 in the third grade. Of particular note is the fact that the appearance frequency in one grade was very high, meaning that a repeat study will not be conducted. The total number of tree species counted in the study was 13,028 and consisted of 167 species in 52 families. Only 23% of the total planted tree species, that is, 38 tree species appeared in the textbooks, so the ratio of the practical usage of school gardens was revealed to be low. In the school gardens, there are only an average of about 16 tree species per school. The fewest number of species in one school was 9 and the most was 22. The native species were 74 and the non-native species were 93. This means that almost all the planted species do not relate to observation learning in the textbooks. The 22 tree species among 60 species in the textbooks were not planted in the gardens. In conclusion, the degree of utilization of almost all the elementary school gardens examined during this investigation was very low.

• The Research Journal of the Costume Culture
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• v.19 no.6
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• pp.1372-1384
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• 2011

The purpose of this study was to identify egonomy tendency on their self-makeup and appearance management behavior of university women in Jeonbuk province. A self-administered questionnaire was used for data collection. Frequency analyses, reliability analyses, cross-tabulations and multiple regression analyses were used. Factors of university women's egonomy tendency were individuality, value, luxury good, style, design, appearance, and economic feasibility. University women were classified into the egonomy retarde group(G1), the value pursuing group(G2), the economic feasibility pursuing group(G3), and the highly egonomy pursuing group(G4). G1 were indifferent to their makeup methods and appearance management, had the least experience in buying recommended cosmetics or idea cosmetics. G2 invested time and efforts in makeup and managed their appearance with cosmetics or folk remedies, had less experience in buying artist brand cosmetics. G3 performed makeup frequently, were not much interested in appearances while showing the most frequent appearance management behaviors using cosmetics of folk remedies, and spent small amount of money to buy cosmetics. G4 showed high frequencies of all factors of self-makeup and appearance management behaviors, had the most experience in buying artist brand cosmetics and spent much amounts of money to buy cosmetics. Self-makeup behavior was affected by their tendencies to pursue individuality, values, appearance and appearance management behavior was affected by their tendencies to pursue luxury goods, appearance, and economic feasibility.

• Journal of Fashion Business
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• v.16 no.3
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• pp.45-62
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• 2012

This study aims to examine the effect of talent types on the purchasing behaviour of beauty-service products in 367 adults(female and male). The present study is the first to consider both talent types and the purchasing behaviour of beauty-service products correlates to appearance management behaviour. Frequency analysis showed that the mean of 8 talent types of 367 participants was 3.324. The highest talent type of 367 participants was interpersonal talent, the lowest talent type was logical-mathematical talent among 8 talent types. There were statistically significant relationships between the talent types(specially, bodily-kinesthetic talent and interpersonal talent) and the purchasing criteria of beauty-service products on the correlation analysis. And the effects of 8 talent types on the purchasing frequency of 4 beauty-service products were significant on the regression analysis, specifically, the results showed that the most significant among 8 talent factors was the interpersonal talent, next, the bodily-kinesthetic was. Thus, the more purchasing frequency of beauty-services products, the higher interpersonal talent were, and the better affinity with others were. As a results, the interpersonal talent factor and bodily-kinesthetic talent factor among 8 talent factors were ultimately affecting the appearance management behaviour. The higher the score, it was concluded that the subject was more active in beauty-related behavior. Conclusively, the appearance is a form of personal asset for one's self-fulfillment, and strong and beautiful appearance is a medium to improve self-esteem and dominance. It is possessing a significant influence in personal satisfaction, self-identity, and social success.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.825-835
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• 2007

The purpose of this research is to examine the relationship between body satisfaction and appearance enhancement behavior of college students. A questionnaire survey was conducted on 234 college students in Cheong-ju area, Korea. Frequency, descriptive analysis, $x^2$ and t-tests were used for data analysis. Male students were generally satisfied with their height but not with their weight, while female students were not satisfied with their height and weight. There were significant gender differences in satisfaction with their skin color: male students were mostly satisfied with their skin color other than female students. The body satisfaction degree of college students depended on gender: the male students showed more satisfaction with their physical condition than the female students. Of the college student's improving-appearance behaviors such as face-lifting by plastic surgery, make-up by cosmetics and skin care, their preferable choice depended on their gender. When purchasing clothes, they considered if the clothes could cover their defects of their body line and improve their physical appearance. The levels of body satisfaction were significantly different according to their appearance enhancement behaviors.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.51-64
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• 2016

The object of this study was to find out the influence of juvenile self-consciousness on the importance of unit 'clothing and self-express' in technology home economics curriculum and appearance management behavior. Questionnaires were administered to 244 middle school students living in Deagu metropolitan City. Frequency, factor analysis, reliability analysis, regression analysis, and ${\chi}^2-test$ were used for data analysis. Our findings are as follows. Self-consciousness had factors as privately and socially self-consciousness and social anxiety. The factors of the importance of unit 'Clothing and self-express' were clothing, self-express and excellence in traditional clothing. Appearance management behavior had factors as appearance management, plastic surgery interest, diet importance, health focus and eating habit. Self-consciousness was found to have significant effects on the factors of the importance of unit 'Clothing and self-express', and self-consciousness on factors of appearance management behavior. The differences by gender of middle students was examined in clothing and textile interest, clothing and textile unit interest and knowledge acquisition route.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.777-787
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• 2008

The purpose of this study is to identify impacts of adolescent consumers' assertiveness and appearance concerns on their buying behaviors when they buy school uniforms. This research examined information sources and purchase evaluative criteria as related variables of clothing buying behaviors. The Internet survey was carried out to middle and high school students in Seoul. A total of 907 data were analyzed by factor analysis, frequency analysis and step-wise multiple regression analysis. The results of this study were as follows: From a result of factor analysis on adolescent consumers' assertiveness, appearance concerns and information sources and purchase evaluative criteria for buying school uniforms, each four variances showed factorial structures clearly. School uniform consumers' assertiveness and appearance concerns had significant influences on information sources and purchase evaluative criteria. Especially, an impact of conformity appearance concern was inclined to be high on information sources and purchase evaluative criteria.