• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.745-755
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• 2014

The purpose of this study was to observe school education system, higher education, and fashion education in Germany to find a good model for an desirable future education to lead a creative students in Korea, thereby reshaping curriculum. We also analysed the curriculum of the fashion design offered in Hochschule Pforzheim and Berlin University of Art. We used secondary data collection by literature reviews of articles and web sites on the internet. Results of this study are as follows: German school and education system oriented with differentiation even though there are variety of them. Students can select their education system, considering work field and their own life & humanities. Various fashion education institutions were found to have their own education concept to enhance creativity with different system. Our results of analysis of the fashion design program of Hochschule Pforzheim and Berlin University of Art show their creativity education in their curriculums with module basis. Two universities have a differentiate education direction for the same aim to do creative design study and research. We realized that students learn and get the knowledge and apply to the field with a long term internship, communication skill and presentation development courses. Project based modules enable students to be creative, and active human. Strong design basis, and humanities disciplines will support people to creative design works. These two universities offer a good model of program to build up self education drive, academic and practical ways of training, and project based, internship, etc.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.649-658
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• 2003

We propose a hierarchical architecture of ART2 Network for performance improvement and fast pattern classification model using fitness selection. This hierarchical network creates coarse clusters as first ART2 network layer by unsupervised learning, then creates fine clusters of the each first layer as second network layer by supervised learning. First, it compares input pattern with each clusters of first layer and select candidate clusters by fitness measure. We design a optimized fitness function for pruning clusters by measuring relative distance ratio between a input pattern and clusters. This makes it possible to improve speed and accuracy. Next, it compares input pattern with each clusters connected with selected clusters and finds winner cluster. Finally it classifies the pattern by a label of the winner cluster. Results of our experiments show that the proposed method is more accurate and fast than other approaches.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.89-98
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• 2022

Using the extended technology acceptance model, this study aims to quantitatively analyze the user experience with the . In the case of Perceived Usefulness and Perceived Ease of Use, only limited detailed factors have significant impacts on the degree of satisfaction. The degree of satisfaction has positive correlations with the degree of immersion and the variables of Behavioral Intention to Use Metaverse. Although sophisticatedly remediates using digital technology to provide visitors with the sameness of exhibits, exhibition circulation and interaction method, the metaverse exhibition does not acquire the same value of the exhibition. In conclusion, cannot replace , however, it has the potential to offer learning usefulness to visitors with low accessibility to the art museum.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.629-639
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• 2011

This paper classifies factors that form Chinese contemporary art price which comes into the spotlight in the current fine art market and consider the characteristics that form price with Chinese art only. The data were analyzed applying hedonic price setting models which include market value as a dependent variable with the various characteristics that art includes as the individual factors. The result has found that Chinese contemporary art has the more effects on factors of artists than sales factors. The social factor is worthy of notice in that Chinese GDP jointly raised with the price of Chinese contemporary art. At this point that interest in and demand of Chinese contemporary art are higher, it is thought that the result of this study will raise comprehension and convincing purchase direction will be suggested to collectors.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.61-70
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• 2019

The The government has recently announced its mid- to long-term plans for promoting art. With the advent of the 4th industrial revolution, contemporary art contents that are integrated with Intelligent Information Technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Big Data are being introduced, and social interest in humanities and creative convergence is rising. In addition, the industrialization of the art market is expanding amid the rising popularity of art among the general public and the growing interest of art as an investment replacement system, along with the strengthening of the creative personality education of our Education Ministry. Therefore, it is necessary to establish a strategy for transparency and revitalization of the art market by providing comprehensive information such as search functions, analysis data, and criticism by writer and price. This paper has established an information system plan for the establishment of an online supply system for art transaction information, providing auction transaction information for art market, providing report and news for art market, providing public relations platform, and providing art market analysis service and membership relationship management service. To this end, the future model was established through environmental analysis and focus analysis of the art market, and strategic tasks and implementation plans were established accordingly.

• Journal of Families and Better Life
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• v.28 no.3
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• pp.61-71
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• 2010

This thesis seeks to inquire into the effect of group art therapy using a fabric medium on the emotional intelligence of middle school students. This application of fabrics to group art therapy is helpful in terms of gender roles and equality from an educational aspect and can help activate and control positive sentiment. Therefore, it was believed to have a positive effect on emotional intelligence. The subjects were 28 boys and girls who were students of the Supportive Project for the Priority Region of Educational Welfare Investment. The measurement tool is a revision of the emotional intelligence test of Mun Yong-Rin (1997), which itself was based on the emotional intelligence model of Mayer and Salovey (1997). The data materials are analyzed by SPSS (ver. 17.0 for Windows). To test the homogeneity of the groups, the Mann-Whitney U test was carried out, and to analyze the effect of this program, the Wilcoxon signed ranks test was carried out. The results are as follows. This program had a positive effect on the emotional intelligence of both male and female students, especially on their empathy and activation of thinking among the subcategories. This study has significance in that it verifies the effect of the improvement of emotional intelligence by way of group art therapy using fabrics, adding a fabric medium to the art medium. As the subject group was restricted to 28 adolescents in the Supportive Project, it is not easy to generalize the achievement to the entiresphere of group art therapy.

• Korean Association of Arts Management
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• no.57
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• pp.33-58
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• 2021

The purpose of this study is to understand the impact of the subscription economy on the contemporary art market in terms of creation, consumption and distribution of artwork. To accomplish the aim of this study, we conducted a case study of Artnomic Gallery K borrowing the theoretical perspective from Alexander(2003)'s Modified Cultural Diamond model. In this paper, we collected data through reviewing the secondary document and conducting in-depth interviews with 10 experts and consumers in the art market. As a result, the subscription economy eases the traditional art trade, which is heavily focused on a small number of market arts, by encouraging artists to create various works. The transition to subscription in the purchase of art contributes to lowering the barriers to entry into the art market by reducing the financial burden on consumers in terms of consumption. In terms of distribution, this founding of this article shows that the experts of Gallery K are the main actors in selecting the works that consumers subscribe to. Therefore, in this study, it is of academic significance to discuss that the filtering effect of the distribution system emphasized by Alexander(2003) is effective even in the art trading system to which a new form of economic activity - the subscription economy - is applied.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products me classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem far disposal products. In this paper, a heuristic approach fuzzy ART neural network is suggested. The modified fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its ai is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. In this paper, a heuristic approach for fuzzy ART neural network is suggested. The modified Fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its aim is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.830-837
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• 2004

Neural networks-based fault diagnosis algorithm to detect and isolate faults in the nonlinear systems is proposed. In the proposed method, the fault is detected when the errors between the system output and the multilayer neural network-based nominal model output cross a Predetermined threshold. Once a fault in the system is detected, the system outputs are transferred to the fault classifier by nultilayer/ART2 NN (adaptive resonance theory 2 neural network) for fault isolation. From the computer simulation results, it is verified that the proposed fault diagonal method can be performed successfully to detect and isolate faults in a nonlinear system.