• Proceedings of the Korea Multimedia Society Conference
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• 2000.04a
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• pp.425-428
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• 2000

2차원 슬라이스 영상으로부터 volume rendered 이미지를 생성하기 위해서는 2차원 영상의 pixel 데이터를 voxel 기반으로 재구성해야 한다. 영상을 재구성하면서 생성되는 voxel value 는 3차원 영상을 2차원 화면으로 원근 투영할 때 최종 픽셀값을 결정하는 기본 요소가 된다. 따라서 본 논문에서는 조합되는 voxel value를 결정하는 Transfer Function를 이용한 intensity 와 gradient magnitude 의조작을 통하여 최종 3차원 이미지에서 오브젝트의 surface 뿐만 아니라 내부의 서로 다른 조직끼리의 경계 영역을 가시화하여 보았다.

• Communications for Statistical Applications and Methods
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• v.11 no.1
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• pp.153-160
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• 2004

In recent years, the size of data set which we usually handle is enormous, so a lot of outliers could be included in data set. Therefore the robust procedures that automatically handle outliers become very importance issue. We consider the robust estimation problem of location parameter in the univariate case. In this paper, we propose a new method for defining robustness weights for the weighted mean based on the median distance of observations and compare its performance with several existing robust estimators by a simulation study. It turns out that the proposed method is very competitive.

• Journal of Korean Society of Transportation
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• v.1 no.1
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• pp.43-47
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• 1983

Within the conventional transportation planning process, "trip distribution" has a significant role to play. The most widely applied trip distribution model is the gravity model, for which Wilson provided the theoretical basis in 1967. The concept of the gravity model, however, still remains ambiguous if we analyze the "trip distribution" with a disaggregate data set. Thus, this paper hypothesizes that the gravity technique is still valid even with the disaggregate data set, by proving that the estimated coefficients of the gravity model, which is derived under the principle of entropy maximization, are identical with those of the multinomial logit model, which is derived under the principle of individual utility maximization.tility maximization.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.1041-1044
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• 2005

Recently, Zhang et al.(Fuzzy Sets and Systems 147(2004) 475-485) proved Fatou's lemma and Lebesgue dominated convergence theorem under some conditions of fuzzy measure. In this note, we show that these conditions of fuzzy measure is essential to prove Fatou's lemma and Lebesgue dominated convergence theorem by examples

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.141-150
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• 2000

In this paper we propose a method of computing Bayes factor to detect an outlier in a random effects model. When no information is available and hence improper noninformative priors should be used Bayes factor includes the unspecified constants and has complicated computational burden. To solve this problem we use the fractional Bayes factor (FBF) of O-Hagan(1995) and the generalized Savage0-Dickey density ratio of Verdinelli and Wasserman (1995) The proposed method is applied to outlier deterction problem We perform a simulation of the proposed approach with a simulated data set including an outlier and also analyze a real data set.

• Journal of the Korean Statistical Society
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• v.14 no.1
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• pp.7-17
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• 1985

Data set generated by teh bivariate dichotomous choice made by individuals often occurs in practice. This paper presents general model of how such data set is generated as well as methods of estimation. The M.L.E. is examined and found to be computationally burdensome. A simpler estimator, the bivariate dichotomous two-stage estimator, is suggested as an alternative. The two-stage estimator is found to be as efficient as the M.L.E.

• Nuclear Engineering and Technology
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• v.37 no.2
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• pp.177-184
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• 2005

The Multivariate State Estimation Technique (MSET) is being used in Nuclear Power Plants for sensor and equipment condition monitoring. This paper presents the use of regularization methods for optimizing MSET's predictive performance. The techniques are applied to a simulated data set and a data set obtained from a nuclear power plant currently implementing empirical, on-line, equipment condition monitoring techniques. The results show that regularization greatly enhances the predictive performance. Additionally, the selection of prototype vectors is investigated and a local modeling method is presented that can be applied when computational speed is desired.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.137-148
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• 1997

The purpose of this study is to set the various cost-of-living standards utilizing a published national data. 1995 annual data, The Family Income and Expenditure Survey, were used to set the standards of living. Four index reflecting health and decency level, normal level, minimum of health and decency level, and pauper level were suggested and the cost-of-living of each level were estimated. Results showed that cost-of-living estimated in this study were not quite different from those of former studies, but the name of the standard-of-living need to be changed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.164-166
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• 2022

Long-tail problem은 class 별로 sample의 개수에 차이가 있어 성능에 안 좋은 영향을 미치는 것을 말한다. 본 논문에서는 cost-sensitive learning 중 Class-Balanced Loss를 이용해 성능을 개선하여 Long-tail problem을 해결하려고 한다. 먼저, balanced data set과 imbalanced data set의 성능 차이를 살펴보도록 할 것이다. 그 후, Class-Balanced Loss를 3가지 버전으로 이용해 그 성능을 측정하고 분석해 볼 것이다.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.14-22
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• 2006

Purpose: The purpose of this study is developing the nursing information system which contains the core elements of nursing practice, the Nursing Minimum Data Set (NMDS) that should be collected and documented all the settings in which nursing care is provided. Method: The program was developed under the hospital information system by TCP/IP protocol and used NANDA, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC) to fill out the elements of NMDS. The Oracle was used as DBMS under the Windows 98 environment and Power Builder 5.0 was used as a program language. Results: This study developed linkage among the NANDA-NOC-NIC to facilitate choosing correct nursing diagnosis, interventions, and outcomes and stimulate nurses' critical thinking. Also the system developed includes nursing care sensitive patient outcomes, so nurses can actively involve in nursing effectiveness research by analyzing the data stored in the database or by making relational databases with other health care related databases. Conclusion: The program developed in this study ultimately can be used for the nursing research, policy development, reimbursement of nursing care, and calculating staffing and nursing skill mix by providing tool to describe and organize nursing practice and measure the nursing care effectiveness.