• Management & Information Systems Review
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• v.33 no.4
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• pp.21-38
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• 2014

This study investigates whether and how a firm's cost of equity is influenced by the extent of a firms's name change. Even though corporate name change doesn't give any benefit to investors, it can be a signaling about firm's future valuation. And also, if that signaling has high credibility, it can be decrease information cost and the firm's cost of equity. on the contrary to this, if corporate name change is kind of break with the past and corporate image laundering, it is bad signaling to investors. So it can be increase information risk and the firm's cost of equity. Using yearly cross-sectional regressions of the cost of equity on our proxies for corporate name change, size, beta, market-to-book ratio and other innate risk factor over the 2005-2010, we find that the cost of capital is positively associated with corporate name change after controlling for all other factors. This result implies that corporate name change increase information risk of the business, and thus increase information asymmetries between managers and outside investors with respect to a firm's true future value. This increases information risk, and creates an adverse selection problem, on the part of outside investors. Rational investors therefore demand a premium for bearing this corporate name change-related information risk, which in turn leads us to observe a positive relation between the intensity of corporate name change and the cost of equity.

• 월간산업보건
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• s.286
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• pp.44-48
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• 2012

• The Journal of Art Theory & Practice
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• no.3
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• pp.109-116
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• 2005

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.335-349
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• 2003

In this paper, we use Bayesian method for model selection of poisson vs. negative binomial distribution, and normal, double exponential vs. cauchy distribution. The fractional Bayes factor of O'Hagan (1995) was applied to Bayesian model selection under the assumption of noninformative improper priors for all parameters in the models. Through the analyses of real data and simulation data, we examine the usefulness of the fractional Bayes factor in comparison with intrinsic Bayes factors of Berger and Pericchi (1996, 1998).

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.2
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• pp.59-72
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• 2016

The main objective of this study is to provide the behavioral model of co-creation by customers and explorer influential factors of participation from the customer's perspective. To achieve the research goals, we employed grounded theory and conducted intensive interviews of 8 customers who had writing product reviews experiences with Beauty Net. The study results indicate that the most important influential factors of participation from the customer's perspective are: (1) Co-creation platform; (2) Co-creation policy; and (3) Individual characteristics.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.1-4
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• 2018

본 논문에서는 낸드 플래시 메모리 시스템에서 가비지 컬렉션과 마모도 평준화를 동시에 수행하는 환경에서 발생 할 수 있는 세 가지 내재된 문제점들을 제시한다. 제시한 문제점들은 낸드 플래시 메모리의 추가적인 수명 연장을 방해 할 뿐만 아니라, 페이지 이주 오버헤드를 초래하는 근본적인 원인이 된다. 이러한 내재된 문제점들의 원인 분석은 다음과 같이 진행한다. 첫 번째, 세 가지 내재된 문제점들에 대한 시나리오를 구성하고, 구성한 시나리오에서 발생할 수 있는 문제점들을 제시한다. 두 번째, 각 시나리오에서 발생하는 문제점을 파악하고, 그로 인해 낸드 플래시 메모리의 수명에 영향을 끼칠 수 있는 위험성을 분석한다. 마지막으로 분석한 위험성을 토대로 이를 이론적으로 고찰하고, 그에 대한 해결책을 제시한다. 이러한 해결 방안은 낸드 플래시 메모리의 추가적인 수명 연장에 대한 새로운 방향성을 제시할 것이다. 또한 이것은 가비지 컬렉션과 마모도 평준화를 동시에 수행하는 모든 시스템 환경에 적용 가능하므로, 기존 기법들의 장점들을 그대로 활용함과 동시에 낸드 플래시 메모리의 추가적인 수명 연장을 기대 할 수 있다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.200-201
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• 2000

와편모조류의 대부분은 생존에 불리한 환경조건이 되면 저질에 침적되어 휴면포자의 형태로 휴면시기를 보내다가 온도, 광, 산소, 영양염 등의 환경요인 변동과 내재적 주기에 의해 발아가 유도된다. 이러한 휴면포자는 "개체군 씨앗 "으로서 지역적 적조발생의 잠재력이 되는 것으로 시사되어 왔다. (중략)어 왔다. (중략)

• Journal of Korea Game Society
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• v.12 no.2
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• pp.43-51
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• 2012

The purpose of this study is to find out whether G-learning method can raise students' academic motivation of the mathematics in elementary school. The subjects were 687 students in the same school. They were divided into two groups, control group and experimental group. Written tests were taken before and after the semester to evaluate the students' motivation of the mathematics. According to the results, the participation in G-learning program improved their academic achievements of mathematics. Experimental group showed statistically significant improvement in intrinsic motivation. On the contrary, control group showed statistically significant improvement in extrinsic motivation. This means that G-learning method make students study mathematics on their own initiative.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.91-110
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• 2018

We proposed a video summarization algorithm based on an ERP (Event Related Potentials)-based topic relevance model, a MMR (Maximal Marginal Relevance), and discriminant analysis to generate a semantically meaningful video skim. We then conducted implicit and explicit evaluations to evaluate our proposed ERP/MMR-based method. The results showed that in the implicit and explicit evaluations, the average scores of the ERP / MMR methods were statistically higher than the average score of the SBD (Shot Boundary Detection) method used as a competitive baseline, respectively. However, there was no statistically significant difference between the average score of ERP/MMR (${\lambda}=0.6$) method and that of ERP/MMR (${\lambda}=1.0$) method in both assessments.

• Geotechnical Engineering
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• v.12 no.6
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• pp.87-100
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• 1996

This paper verifies the accuracy and efficiency of the implicit stress integration algorithm for an anisotropic hardening constitutive model developed in a companion paper[Oh & Lee (1996)3. Simulation of undrained triaxial test results shows the accuracy of the method through an error estimation, and analyses of accuracy and convergence were performed for a numerical excavation problem. As a result, the stress was accurately integrated by the algorithm and the nonlinear solution was converged to be asymptotically quadratic. Furthermore nonlinear FE analysis of a real excavation problem was by performed considering the initial soil conditions and the in-situ construction sequences. The displacements of wall induced by excavation were more accurately estimated by the anisotropic hardening model than by the Cam-clay model.