• Journal of the Korean Data and Information Science Society
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• v.10 no.2
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• pp.445-455
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• 1999

We modify the Gompertz regression model for estimation of cure rates from pediatric clinical trials by assuming different hazard rates on the different periods. A treatment period may be divided by the stages of treatments under the different treatment arms. The piecewise Gompertz models provide an efficient method for estimation of the cure rates and a method for testing the difference of the treatment effects in the given interval.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.119-127
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• 2004

To test uniformity of a population, we modify the test statistic based on the sample entropy in the literature, and establish its limiting distribution under weaker conditions, which improves the existing results. It is also to study the proposed test statistic based on Vasicek's entropy estimator is consistent.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1007-1018
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• 2008

The purpose of this case study is to demonstrate database-marketing management. First, we explore original variables for insurance customer's data, modify them if necessary, and go through variable selection process before analysis. Then, we develop churn prediction models using logistic regression, neural network and SVM analysis. We also compare these three data mining models in terms of misclassification rate.

• IE interfaces
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• v.10 no.3
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• pp.109-116
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• 1997

Document management system is a tool, based on the document life cycle concept, for structured management of various documents within an organization. In this paper, we address a development process of document management system based on SGML. We have developed a document management system which can support a variety of types in documents such as informal data, HTML, CGI and so on. Using the developed system, users can access documents in the system through an internet browser, and also add or modify existing documents.

• Structural Engineering and Mechanics
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• v.6 no.1
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• pp.115-124
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• 1998

A novel boundary stress resolution method is suggested in this paper, which is based upon the displacements of finite element analysis and of high precision with stress boundary condition strictly satisfied. The method is used to modify the Zienkiewicz-Zhu ($Z^2$) a posteriori error estimator and for the h-version adaptive finite element analysis of crack problems. Successful results are obtained.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.164-168
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• 2001

The Multiple Recursive Generator(MRG) has been considered by many scholars as a very good Random Number generator. For the long period and excellent statistical properties, the method of the combination with random number generators are used. In this paper, for two-combined MRGs, we examine the statistical properties and show the importance of the seeds likewise other random number generators. And we modify the two-combined MRGs and verify the statistical superiority.

• Honam Mathematical Journal
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• v.37 no.3
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• pp.335-337
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• 2015

We modify the normalizing constants of the functions in the orthonormal basis for the Bergman space and restate their consequences in the paper that was published in Honam Math. J. 36 (2014), no. 4, pp. 777-786.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.12
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• pp.1975-1983
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• 1989

Implementing the linguistic theories on computer, we resolve the problems for restrictions of computer and increase processing efficiency for systemization not for linguistic theory itself. Thus, we modify the grammatical theory to be applied to systems. This paper reports the various problems about constructing dictionaies, defining rules, and appling universal principles and metarules, which is caused to implement the systems based on GPSG. In semantic interpretations, logical expressions which correspond Montague grammar are acquired, and we make a rule connect with several logical expressions. And we show the efficiency of the this method through implementing parser.

• The Journal of the Acoustical Society of Korea
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• v.21 no.4
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• pp.178-178
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• 2002

In this paper, we propose an adaptive wavelet method for car interior noise cancellation. For this purpose, we use a node dependent threshold which minimizes the Bayesian risk. We propose a noise estimation method based on spectral entropy using histogram of intensity and a candidate best basis instead of Donoho's best bases. And we modify the hard threshold function. Experimental results show that the proposed algorithm is more efficient, especially to heavy noisy signal than conventional one.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1246-1249
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• 1993

In this paper, we propose an algorithm of obstacle avoidance using fuzzy inferences. After the basic idea of the path generation algorithm using piecewise polynomials is described, the obstacle avoidance problem using fuzzy inferences is considered. Main concept of the avoidance algorithm is to modify intermittent point data using fuzzy inferences and to generate the collision free path based on the modified data. Finally, simulation result demonstrate the effectiveness of the proposed algorithm.