• Journal of the Korean Society of Costume
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• v.64 no.4
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• pp.21-36
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• 2014

The purpose of this study is to suggest an effective fashion design process using social network services(SNS) as a method to develop designs. Fashion design process was systemized through literature study. The characteristics of social network, and element and method of network formation were investigated, and then design processes using SNS were suggested through survey study. This was done by applying formation of network and its method in SNS with contents of fashion to stage of process to develop fashion design. The study results are as follows. First, Fashion design process using SNS is composed of 5 stages. Second, SNS types with contents of fashion were classified to five types: blog, community, connection of fashion web service and SNS, fashion SNS, and fashion SNS game. Among them, types where development of fashion design and product distribution was done by formation of network are connected type of fashion web service and SNS, fashion SNS type. Fashion design development can be done by compiling, having contests, and cooperative work. A method that can be used for making assessments and decision is voting and predicting the market. Third, Fashion design process using SNS is composed of the stages such as planning, compiling, analysis, decision, implementation, and formation of network. It was analyzed that by connecting stages of collection and evaluation of information through participation of users, new contents were produced and there was a structure that was cycled continuously.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.1
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• pp.103-114
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• 2015

This research aims to identify the network formation process of wine industry based on patents for technological innovation focused on Shandong region. China government initiated supporting policy upbringing wine cluster in Shandong for regional economic development since 2006. First of all, China government focused on upbringing wine industry on the network formation process. Especially, it is evaluated that Shangdong region develops wine industry by research-oriented. Secondly, for the purpose of this research, the formation of network in Shandong region explained the strategy of Chinese government corresponded with growing wine industry. As a implication from the network formation process, this research confirmed that the wine industry grows industry-university-government linkages strategically according to government strategy with government policy integration integrating regional development.

• Journal of Mechanical Science and Technology
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• v.18 no.12
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• pp.2137-2147
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• 2004

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 deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2001.11a
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• pp.142-147
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• 2001

Recently, as the field of construction industrial is enlarged and the blanket control system is formed, the process plan considered from initial process formation to construction cost must be systematic and rational. So we have to propose and compose the new process formation system that divides the intention decisive property of construction data, its relationship and the data property according to process definitely and can express and control easily the public ownership of construction data and network process under the peculation control. So this study decides the field formation and construction data of the work according to the ordering and contract way to establish the process data system for the process plan, shows that the lot theory is necessary to form the economical construction field and proposes that the integrated formation system of construction data that is made by code system must be established.

• 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.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.59-64
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• 2021

The article proposes the process of formation of the teacher's innovative competence in the space of lifelong education the foundations of the formation of the teacher's innovative competence in the space of continuous education. The concept of the formation of the teacher's innovative competence in the space of lifelong education is proposed; it includes initial ideas, goals, objectives, patterns, principles, stages, content and technologies implementation of this process.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.111-123
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• 2000

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. Recycling cells are formed considering design, process and usage attributes. In this paper, a novel approach to the design of cellular recycling system is proposed, which deals with the recycling cell formation and assignment of identical products concurrently. Fuzzy clustering algorithm and Fuzzy-ART neural network are applied to describe the states of disposal product with the membership functions and to make recycling cell formation. This approach leads to recycling and reuse of the materials, components, and subassemblies and can evaluate the value at each cell of disposal products. Application examples are illustrated by disposal refrigerators, compared fuzzy clustering with Fuzzy-ART neural network performance in cell formation.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.334-349
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• 2008

In this study, the network formation process of personal actors in industries for the elderly was analyzed. This process is applied to the knowledge creation model of the SECI (Nonaka-Takeuchi learning cycle), that is socialization, externalization, combination, internalization. There are some kinds of opportunities to interact in these industries in the forms of field survey teams to overseas, some seminars and symposiums, many kinds of meetings, education and training programs, trade fairs and on-line forums. These palces(ba) - originating ba, interacting ba, cyber ba, exercising ba - played great roles in the formation of personal actor networks. Personal actors had opportunities to interconnect with distant actors through those places(ba). In the spatial perspective, personal actors could make face-to-face contact and build trust through temporary geographical proximity or temporary clusters with the help of personal mobility. Relations in the virtual spaces such as the Internet community did much toward building personal networks.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.11
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• pp.2075-2082
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• 2006

This paper presents modeling and optimization techniques for hish efficiency solar cell process on single-crystalline float zone (FZ) wafers. Among a sequence of multiple steps of fabrication, the followings are the most sensitive steps for the contact formation: 1) Emitter formation by diffusion; 2) Anti-reflection-coating (ARC) with silicon nitride using plasma-enhanced chemical vapor deposition (PECVD); 3) Screen-printing for front and back metalization; and 4) Contact formation by firing. In order to increase the performance of solar cells in terms of efficiency, the contact formation process is modeled and optimized using neural networks and genetic algorithms, respectively. This paper utilizes the design of experiments (DOE) in contact formation to reduce process time and fabrication costs. The experiments were designed by using central composite design which consists of 24 factorial design augmented by 8 axial points with three center points. After contact formation process, the efficiency of the fabricated solar cell is modeled using neural networks. Established efficiency model is then used for the analysis of the process characteristics and process optimization for more efficient solar cell fabrication.