• International Commerce and Information Review
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• v.10 no.4
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• pp.417-437
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• 2008

Korean firms have had a short history of foreign direct investment and export in China market entry. This present study empirically analyzed determinants of the choice of foreign market entry modes, Particularly forcusing on the China market entry on Korean manufacture firms. This study developed a research model to determinant factor in the China market entry and collected 77 survey responses from the Korean manufacture firms. This study model construct in the third factor, China market character, company character and product character. In China market character, the variance are China trade barrier, culture different, competition power. The variance in company character are internationalization experience, enterprise rage and entry motivation. Also the variance in product character are product different, customer service and cost advantage. It is researcher's main interest that which type of China market entry format brought most positive evaluation form the Korean manufacture firms. therefor, these research results turned out to be different a little both export and direct investment in China market of Korean manufacture firms.

• Journal of Distribution Science
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• v.18 no.7
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• pp.63-72
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• 2020

Purpose: This study examines the market segmentation and strategy of PT INKA, a rolling stock manufacturer in Indonesia. Research design, data and methodology: The study used the MCDM (Multiple Criteria Decision Making) method specifically the AHP (Analytical Hierarchy Process). The AHP method was applied to identify the target market. This method or approach considers the market attractiveness and competitive strength criteria with quantified parameters. Results: a) Australia, Kenya, Tanzania, New Zealand, and India emerge as the top five target markets; b) There is justification for rolling stock manufacturers to allocate their resources in winning the market share. Conclusion: The main challenge confronting the rolling stock manufacturer is limited resources to acquire a particular market share despite abundant opportunities in this sector. Despite the mastery of technology and long experience in the industry, selecting a target market with multiple criteria could be difficult for an emerging rolling stock manufacturer in South East Asia.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.1-10
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• 2012

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.

• International Journal of Contents
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• v.15 no.4
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• pp.107-112
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• 2019

With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

• Journal of Technology Innovation
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• v.8 no.2
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• pp.119-143
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• 2000

The main objective of this study is to test hypotheses by empirical study on the technology transfer from a national institute to small and medium sized enterprises(SMEs) in the Korean electronic devices industry. The important findings of the study are as follows: First, the success of the technology transfer from national institute to SMEs depends on the character of the project manager such as research experience and academic degree level. Second, the success of the technology transfer is related to the nature of the research project, especially to the technology life cycle stage but insignificantly to the amount of R&D fund and duration. Third, another success factor for technology transfer is the joint technology development between institute and SMEs, which is due to the possibility of early commercialization of the technology development project. Fourth, the hypothesis about the relationship between the project selection and evaluation results and technology transfer success is not statistically supported.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2002.02a
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• pp.95-102
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• 2002

With recent trends leaning towards product miniaturization, the advent of new material and speedy delivery times, old style conventional trial-and-error methods have been only serving to weaken corporate competitiveness. Reliant on tiny increments of time-consuming experience, this antiquated approach begets a delayed delivery of product development, cost loss and quality depreciation. To solve such problems, the Dedicated Injection Molding CAPA (Computer Aided Plastics Application) performs a preliminary examination on problems rising from every stage of creation - from appropriate material selection and mold design to mass production - through a computer system. Thus, it determines the optimum design variables and process conditions while diagnosing and solving defective molds.

• Journal of Mechanical Science and Technology
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• v.15 no.9
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• pp.1268-1273
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• 2001

To successfully establish the ELID-grinding, it is important to properly select the electrolytic condition according to grinding conditions. Currently, the selection of electrolytic condition is mainly dependent on the operators experience, which is one of difficulties preventing the successful application of ELID technique. In this study, an in-process measurement system of the insulating layer using two gap sensors-a capacitance type and an eddy current type-are developed and the change of the thickness of insulating layer during ELID grinding is detected. Evaluation experiments show the possibility to control the electrolytic condition through the in-process measurement of the layer status.

• Journal of Korean Society of Rural Planning
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• v.3 no.2
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• pp.62-70
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• 1997

This study surveys the herb industry, which plays an important role in the economy activation of the advanced countries, and by which Choongbuk, as one of local authorities, makes the first attempt in Korea. It describes the direction of the policy and application, came to a conclusion as follows. 1. Choongbuk is arranging a Herb garden as the first step in connection with the exsiting plan, It could be highly rated because there has been no example yet in korea and therefore it could involve risks. 2. The selection of site will be decided by the Do-authorities considering traffic network and accessibility. Therefore Shi and Gun authorities could have a passive and formal attitude for this policy. 3. The size of the herb garden, by modeling Japanese and European herb garden, will be 15000 pyung(4545m), From the point of view it is a start, the herb garden has still tasks to solve, e.g. lack of experience, organizational and technological problems.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.40 no.5
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• pp.70-80
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• 2008

Rebuilding an existing paper machine is often a very profitable way for papermakers to increase the cash flow created by an older paper machine. Metso Paper has placed particular emphasis in recent years on developing concepts and products specifically for rebuild needs. The outcome of this work can now be seen as a wide selection of products offering quite possibly the best coverage of all time of specific improvement targets. Different needs can be addressed through truly different solutions. Selecting the best-fit alternatives will offer great upgrade options for all paper machines and paper grades. Metso Paper's long experience with high-speed paper machines has been put to good use to create more cost-effective small and mid-sized solutions with the reliability and quality of bigger and faster paper machines. This paper has discussed some of the most interesting and latest configurations available today for paper machine and finishing area rebuilds.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.1-8
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• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure non-homogeneous Poisson process models presented and the life distribution applied extreme distribution which used to find the minimum (or the maximum) of a number of samples of various distributions. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error.