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불상광배(光背)에 나타난 문양(紋樣)을 응용한 주얼리 디자인연구
이원균,안일훈 가야대학교 2007 가야대학교 논문집 Vol.16 No.-
Buddhism art is regarded as one of the most famous cultural inheritance in the history of world cultures as it developed various ways through more than 2,000 years. One of the main streams of Buddhism art is Budda's statue and its most beautiful decorative point is halo. This study comprehends halo's meaning from Buddhist theory and develops its figurative decoration that contributes continuous development of Buddhism art. As for works, they are wearable Buddhist personal ornaments like rings, brooches, earings, which represent Buddhist spiritual images by simplified patterns of halo. Its shape and details are based on Buddhist halo and focused on decorative, practical purpose that can be recognized as modern Buddhist art piece, also strengthen a sense of Buddhism. This study is not only using traditional Buddhist patterns but also understanding Buddha's real to the users meaning of great mercy and compassionand implicate this to the works so help to cultivation of the buddhist mind.
李原均 慶一大學校 1993 論文集 Vol.9 No.1
Early warning system for business failure prediction will be helpful to many interest groups of a firm. Business failure prdiction is a case of binary classification in which the number of groups is limited to two. Numerous methods have been developed for classification purpose. They are typically referred to a multivariate discriminant analysis(MDA). Thereafter, Logit analysis and Probit analysis are developed for failure prediction. These models are not deterministics but stochastic. In the current study, neural network approach is developed as a tool to discriminate business failure. The purpose of this paper is to review the models in business failure prediction and verify the posibilities and limitations of neural net model as a classification tool.
李源均 慶一大學校 1995 論文集 Vol.11 No.1
This study empirically examines the usefulness of financial statements information in predicting business failures. The sample of this study consists of thirty three failed firms which had been delisted from Korea Stock Exchanges between the year of 1986 and 1993, and thirty three nonfailed firms matched on the basis of industry classification, asset size, and fiscal year. The study uses discriminant analysis and logistic regression analysis on three years' financial statements data of sample firms preceding business failures. The study differs from most of prior research on the issue in that it uses financial statements data adjusted for auditors' opinions, and includes new pridictor variables such as payout ratios and standard deviations of selected financial ratios. The major resulats of this study can be summarized as follows: First, it tums out that financial statements information of Korean firms is useful in predicting business failure as far as three years in advance. Second, it tums out that, payout ratio, inventory tumover, and retained eamings ratio are most useful predictors of business failures, and among these three variables, payout ratio is the most significant one. As noted above, payout ratio was not used in prior research, and the fact that payout ratio possesses the most significant predictive power suggests that failing firms usually have chash flow problems and thereby reduce or discontinue dividend payouts. Third, there appears to bo no differences in the prediction accuracy between the two models considered in this study, discriminant model and logistic regression model. In addition, during the year preceding the business failures, there appears to be no differences in the prediction accunacy between the simple model with only financial ratios and the composite model with financial ratios and stadard deviations.