• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.06a
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• pp.61-71
• /
• 2001

• Proceedings of the Korea Association of Information Systems Conference
• /
• 2004.11a
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• pp.211-222
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• 2004

• Proceedings of the Korea Association of Information Systems Conference
• /
• 2004.11a
• /
• pp.366-379
• /
• 2004

• Proceedings of the Korean Institute of Industrial Safety Conference
• /
• 2004.04a
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• pp.3-9
• /
• 2004

• CDE review
• /
• v.14 no.3
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• pp.26-36
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• 2008

• Proceedings of the Korean Powder Metallurgy Institute Conference
• /
• 1996.04a
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• pp.13-13
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• 1996

• Proceedings of the Optical Society of Korea Conference
• /
• 1997.08a
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• pp.99-99
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• 1997

• Journal of Digital Convergence
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• v.14 no.4
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• pp.379-385
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• 2016

IT companies are increasingly taking interest in the automobile industry as a major industry of the future. Companies specializing in information technology, such as Google, Apple and Samsung, are actively taking part in the automobile industry and are conducting various research on connected cars. At this point in time, this study aims on understanding the concept of connected cars and the concept of mirror linking, which is one of the many methods in connecting cars. In this transitional period of connected cars, the purpose of this study is to present the method of mirror linking iPhones and to discover how this could be used in connected cars. By turning a normal car into a connected car, simply with a smartphone in hand, the ideas presented in this study will serve as an opportunity for many current automobile owners to experience the functions of connected cars of the future without shouldering additional expenses.

• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.515-526
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• 2009

Pricing based on proper risk has been one of main issues in auto insurance. In this paper, we review how the techniques of pricing in auto insurance have been developed and suggest a better approach which meets the existing risk statistically by comparison. The generalized linear model (GLM) method is discussed for pricing with different distributions. With GLM approach, the distribution of error assumed plays an main role for the best fit corresponding to the characteristics of dependent variables. Tweedie distribution is considered as one of error distributions in addition to widely used Gamma and Poisson distribution. With these different types of error assumption for estimating the proper premium in auto insurance, various modeling approaches are possible. In this paper, various modeling approaches with different assumptions for estimating proper risk is discussed and also real example is given by assuming different.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.1-8
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• 2019

The purpose of this study is to analyze the employment trends of autonomous automobile industry which is related to the 4th Industrial Revolution. Previously, big data of the employment trends were divided into skill field and task field. As a result, if a company was employed in the field of skill field, it was required to have talent in which personality traits and innovation traits were prominent. Second, if the task field is a production worker, it is desirable to have talented person with outstanding personality traits. In addition, if the task field is management, it has been confirmed that communication qualities require outstanding talent. The results of this study suggest that it is possible to use the data as a basic data for finding an effective employment strategy by identifying the characteristics of the talented person and considering the suitability of the tendency of hiring.