• International Journal of Safety
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• v.11 no.1
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• pp.26-32
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• 2012

This paper introduces a feasibility evaluation method for prognosis systems based on an empirical model in nuclear power plants. By exploiting the dynamical signature characterized by abnormal phenomena, the prognosis technique can be applied to detect the plant abnormal states prior to an unexpected plant trip. Early $operator^{\circ}{\emptyset}s$ awareness can extend available time for operation action; therefore, unexpected plant trip and time-consuming maintenance can be reduced. For the practical application in nuclear power plant, it is important not only to enhance the advantages of prognosis systems, but also to quantify the negative impact in prognosis, e.g., uncertainty. In order to apply these prognosis systems to real nuclear power plants, it is necessary to conduct a feasibility evaluation; the evaluation consists of 4 steps (: the development of an evaluation method, the development of selection criteria for the abnormal state, acquisition and signal processing, and an evaluation experiment). In this paper, we introduce the feasibility evaluation method and propose further study points for applying prognosis systems from KHNP's experiences in testing some prognosis technologies available in the market.

• Communications of the Korean Mathematical Society
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• v.19 no.1
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• pp.169-177
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• 2004

For a stationary field $\{X_{\b{j}},\b{j}{\;}\in{\;}{\mathbb{Z}}^d_{+}\}$ of associated random variables with distribution function $F(x)\;=\;P(X_{\b{1}}\;{\leq}\;x)$ we study strong consistency and asymptotic normality of the empirical distribution function, which is proposed as an estimator for F(x). We also consider strong consistency and asymptotic normality of the empirical survival function by applying these results.

• Architectural research
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• v.16 no.2
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• pp.75-80
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• 2014

Risks, uncertainties, and associated cost overruns are critical problems for construction projects. Cost contingency is an important funding source for these unforeseen events and is included in the base estimate to help perform financially successful projects. In order to predict more accurate contingency, many empirical models using regression analysis and artificial neural network method have been proposed and showed its viability to minimize prediction errors. However, categorical factors on contingency cannot have been treated and thus considered in these empirical models since those models are able to treat only numerical factors. This paper identified potential factors on contingency in transportation construction projects and evaluated categorical factors using the one-way ANOVA statistical method. Among factors including project work type, delivery method type, contract agreement type, bid award type, letting type, and geographical location, two factors of project work type and contract agreement type were found to be statistically important on allocating cost contingency.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1143-1152
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• 2009

A canonical correlation analysis(CCA)-based method is proposed for prediction of future climate change which combines information from ensembles of atmosphere-ocean general circulation models(AOGCMs) and observed climate values. This paper focuses on predictions of future climate on a regional scale which are of potential economic values. The proposed method is obtained by coupling the classical CCA with empirical orthogonal functions(EOF) for dimension reduction. Furthermore, we generate a distribution of climate responses, so that extreme events as well as a general feature such as long tails and unimodality can be revealed through the distribution. Results from real data examples demonstrate the promising empirical properties of the proposed approaches.

• International Commerce and Information Review
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• v.8 no.4
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• pp.323-341
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• 2006

IThis research meets with empirical results in pursuit of aim as below mentioned. Firstly, it gets a line on two-way effects which have an effect on both (the country image and corporate image) by using the corporate image for the study of the country image. After making an analysis of the empirical test, found out that the corporate image has influence upon the country image significantly. Also found out that the country image has an effect on the corporate image powerfully. Therefore, it effects an inspection of evidence that the country image and corporate image have significantly positive concern, each other. Secondly, it is offering the way to use the culture marketing as grasping the mediating effects, which culture difference has influence upon the country image and the corporate image. The mediating effects show that the country image has influence on the corporate image more as culture difference is bigger.

• International Commerce and Information Review
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• v.12 no.3
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• pp.311-332
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• 2010

This study investigate the effects of environmental and organizational characteristics on e-business competence and the influence of e-business competence on export performance in the small and medium sized firms. The development of the research model is based on the literature of e-business and the empirical studies of information technology competence. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that e-business competence is affected by environmental uncertainty and market diversity as well as top management support and learning orientation. And, export performance is enhanced by e-business competence.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.98-106
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• 2006

ISO 9000/14000 certification is increasingly becoming 'a passport for business' in the marketplace. However, its effectiveness of both internal and external performance is highly controversial. In this study, empirical research is performed to identify the main objectives and expectation of ISO 9000/14000 and evaluate the effectiveness of certification. Our empirical results show that there are big differences between small and medium companies and large companies for the effectiveness of ISO 9000/14000. Especially, ISO 14000 certification provides very low effectiveness for the small and medium companies in Korea.

• Journal of Korean Society for Quality Management
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• v.37 no.1
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• pp.40-55
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• 2009

This research is an empirical study to analyze the factors that affect users' acceptance & diffusion of online product message. Today many people use the product message/information on the internet, before they make decision to buy something in online/offline environment. This paper proposes the site design look, enjoyment, and usefulness as message perception factors. And we examine the relationship among the perception factors, message credibility, acceptance & diffusion. The purpose of this paper is threefold. First, we examine the relationship between as perception factors and the credibility assessment of the message by customers. Second, we will show the effect of message credibility on the message acceptance & diffusion. Third, we try to present some theoretical and empirical implication through the result of our studies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.1 no.1
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• pp.105-125
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• 2006

This paper relates recent empirical research on the growth. Smaller and younger firms have been growing more quickly than larger and older firms, thus, generating proportionately more new jobs. It is not difficult to understand why small and medium firms receive so much attention. Because SMEs provide about 80 percent of private sector employment so SMEs performance is an important economic and social factor. Despite this, they are subject to higher risk and mobility than those at the large firms. This paper is analyzes the relationship between firm growth measured as growth in employment, sales and production and firms age, size and R&D investment. The growth and its relationship with the determinants is linked to industrial policy in Korea. Empirical results are based on an unbalanced panel data covering period 1999-2002. Results show significant relationship between growth, size and age of firm.

• Journal of Technology Innovation
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• v.16 no.2
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• pp.147-165
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• 2008

The researches on cyclical patterns of R&D investment has a long history in developed economies since the Schumpeterian hypothesis that long-term productivity-enhancing innovative activities increase during recession. But in Korea the cyclical patterns of R&D investment is one of the unexplored academic areas. Unlike theoretical explanation of R&D's cyclical pattern, empirical results has shown that R&D investment is procyclical to business cycles in developed countries. This paper investigates whether Korean R&D investment show procyclical or countercyclical pattern to business cycles. The empirical results show that Korean R&D investment in private area is procyclical to business cycles with statistical significance, which confirms the credit-constraint theory's prediction, while public area's is not sensitive to them. Public R&D investment has long-term investment characteristics and can be utilized to stabilize procyclically-fluctuating private R&D investment.