• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.4
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• pp.57-72
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• 2009

As development of information technologies, customer retention has been an important issue in the competing environment. A lot of researches focus on prediction of the churning customers and seeking their characteristics. However, relationships among customers or products have not been considered in existing researches. In this study, product networks are proposed and analyzed to investigate the differences of network characteristics of products purchased by potential churning customers and those of loyal customers. The product networks are constructed from real product purchase data collected from a Korean department store. We investigated the characteristic differences, such as the degree centrality, degree centralization, and density, of two product networks constructed by potential churning customers and the loyal customers. The results indicate that degree centrality, density and degree centralization of the product network of the loyal customers are higher than those of the potential churning customers. And the promotional products of the department store are resulted to be effective in attracting the loyal customers.

• Journal of information and communication convergence engineering
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• v.10 no.1
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• pp.40-44
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• 2012

Data mining, which is attracting public attention, is a process of drawing out knowledge from a large mass of data. The key technique in data mining is the ability to maximize the similarity in a group and minimize the similarity between groups. Since grouping in data mining deals with a large mass of data, it lessens the amount of time spent with the source data, and grouping techniques that shrink the quantity of the data form to which the algorithm is subjected are actively used. The current grouping algorithm is highly sensitive to static and reacts to local minima. The number of groups has to be stated depending on the initialization value. In this paper we propose a gene algorithm that automatically decides on the number of grouping algorithms. We will try to find the optimal group of the fittest function, and finally apply it to a data mining problem that deals with a large mass of data.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.21-26
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• 2018

Recently, data analysis technology through artificial intelligence is attracting major attention in various industrial fields. In addition, with the increase in personal income, nowadays, the importance of heterogeneous leisure life is becoming more prominent. However, there is a problem that the tourism industry is not out of the traditional service framework. For the ultimate development of the tourism industry, it is time to provide more scientific and systematic tourism services. In this paper, various data analysis techniques in the field of computer science are applied to the field of tourism to realize next generation tourism services. To this end, the scope of this study is limited to the aviation service, and a natural ecosystem of the aviation industry for future-oriented services of aviation tourism that can improve the efficiency of aviation service gradually is established. The proposed method effectively solves the problems of traditional aviation services through data analysis techniques with artificial intelligence techniques in computer science. We expect that it will enhance the customized satisfaction of customers through personalized service and foster loyal customers in aviation companies through the method proposed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.161-166
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• 2004

Competitiveness to some countries or cities plays a important role as a determined factor in me recent age of international globalization. In view of tourism studies, the potential to develop some regions depends on its own abilities to use and maintain the economic advantages of cities in providing tourism products and services. In spite of this importance of competitiveness, a few research has been done in Korea. Therefore, the purpose of this study is to analyze the comparative competitiveness between coastal metropolitan cities in Korea- Busan, Ulsan, and Incheon, to develop the tourism index and find out urban differences. As a result, the findings of this study will contribute to implementing the promotion of tourism and the network between other cities and attracting the domestic and international tourists.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.383-386
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• 2018

Interesting and focused learners are attracting more and more interesting and efficient learning methods. Research on game-based learning that converges information and communication technology in accordance with this trend is being attempted. I want to take advantage of the characteristics of the game that enhance the concentration. However, if you play a game, you may get less exercise. Therefore, in this paper, we have designed and implemented a system that improves fitness and improves the performance by using Dance Dance Revolution (DDR) to fuse games and sports.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.05a
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• pp.238.2-238.2
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• 2011

Organic thin film transistors (OTFTs) have been attracting considerable attention because of their potential use in low-cost, large area, electronic devices such as flexible displays, biochemical sensors, and smart cards. In past several years, gold/pentacene has been frequently used in OTFTs because of the high mobility of pentacene and the high work function of gold. To improve the performance of the OTFTs contact area doping of pentacene with p-doping materials are well known. In this work we demonstrated selectively contact area doping of pentacene with Iodine vapor. For effective doping elevated pentacene layer under the source-drain area was deposited and exposed to Iodine vapor. We got better electrical performance for elevated pentacene structure rather than planer structure with relatively high field-effect mobility.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.272-272
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• 2006

In recent years, water-free polymer electrolyte membranes are attracting serious attention due to the possibility of the fuel cell operation at intermediate temperatures ($100{\sim}200^{\circ}C$). It was reported that phosphonic acids have proton conductivity under anhydrous conditions and in particular, relatively high proton conductivity could be obtained from the composite materials with heterocycles such as imidazole, pyrazole, etc. In this work, styrene based polymers, poly((4-vinylbenzyloxy)alkylphosphonic acid), which have phophonic acid group at the end of alkyl chain was synthesized. These polymers were analyzed in terms of thermal stability and proton conductivity. Additionally, cyclic oligosiloxanes tethered with triazole were prepared and analyzed.

• Vacuum Magazine
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• v.1 no.1
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• pp.21-26
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• 2014

The new materials such as graphene and other nano scale structured materials are attracting great attention due to its expandability for the future electronic devices. In this presentation, a variety of analysis techniques will be introduced for the latest new material applications such as graphene and organic materials with number of metals. The basic properties of next generation device should be carefully analyzed without being exposed to ambient surrounding since the physical and chemical properties of new material or interface states are easily and drastically changed by ambient condition. With the combination of the fabrication process and precise analysis instruments, it is expected to set the facilities supporting the nanotechnology industry and other research groups. This system will give strong support nanotechnology and other complex science with qualified data and information on basic knowledge on the new-forthcoming materials for the future.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.195-217
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• 2003

Since the early 1990s, cluster-based policies have been celebrated as the basis of successful regional industrial and technological development strategy by encouraging regional innovation and technological spillover. Most recently, the Korean government has also begun to seek to initiate some strategies for promoting industry clusters. However, it is problematic that the cluster policies still focus on attracting related firms and establishing supporting agencies and physical infrastructures rather than improving social and institutional dimensions for cluster development such as social capital, networks, social learning capabilities, the governance of regional innovation. In this paper we attempt to elucidate social and institutional dimensions for cluster development and suggest some policy agenda to promote innovative cluster.

• Current Optics and Photonics
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• v.4 no.2
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• pp.121-126
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• 2020

With the increasing demand for head-mounted display applications, the image quality provided by a near-eye display device is a key factor in satisfying the consumer. Among various techniques to realize a near-eye display that has a thinner volume than the working distance of a human eye, a lightfield image-generation method based on a pinhole array is attracting much attention, with its simple and thin structure. In this paper, we propose a numerical analysis of the visual parameters and verifications with computational reconstruction.