• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.105-117
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• 2022

Recently, the number of students taking basic statistics in liberal arts courses at universities nationwide has been increasing significantly. Students who learn statistics only for one semester are more likely to live as consumers than producers of statistical analysis in the future. What consumers need is statistical literacy and thinking skills rather than statistical methods. This paper deals with what points should be considered in order to develop textbooks that improve statistical thinking.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.27-37
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• 2011

dth-order power analysis can safely be defended by dth-order masking method. However, as the degree of applied masking method increases, it can significantly decrease effectiveness of cryptosystem. The existing statistical analysis on high-order power analysis contains only analysis on second power analysis. However, this means absent of safety standards when crypto engineers apply 3rd or more order masking. this absent of standards can lead to insignificant usage of masking method which can significantly decrease effectiveness of cryptosystem. In this dissertation, we have generalize statistical values on high-order power analysis to establish these standards. In other words, we have generalized the value of a correlation coefficient when calculation of high-order power analysis methods are performed. That is to say, it can greatly be used to indicate a degrees that can be applied on further usage of masking method.

• Journal of the Korean Geotechnical Society
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• v.27 no.7
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• pp.59-68
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• 2011

Subsurface Investigation results always reflect a level of soil uncertainty, which sometimes requires statistical corrections of the data for the appropriate engineering decision. This study suggests a closed-form framework to extract the outlying data points from the testing results using the statistical geo-spatial information analyses with outlier analysis and kring-based crossvalidation. The suggested analysis method is conducted to soil stratification using the borehole data in Yeouido.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.61-70
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• 2013

This paper presents the response calibration method based on quality control range, which is established from the concept and method of statistical quality control for natural frequency ratio and response ratio. To this end, statistical analysis including descriptive statistics analysis, normality test, ANOVA were performed for response characteristics obtained from loading tests and structural analysis for more than hundred and thirty well-conditioned bridges. Suggested method is based on real structural integrity evaluation case studies and statistical quality control approach, in this respect it is expected to provide scientific criteria and systematic procedure for response calibration and load carrying capacity assessment.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.33-46
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• 2018

Personal credit scoring is an effective tool for banks to properly guide decision profitably on granting loans. Recently, many classification algorithms and models are used in personal credit scoring. Personal credit scoring technology is usually divided into statistical method and non-statistical method. Statistical method includes linear regression, discriminate analysis, logistic regression, and decision tree, etc. Non-statistical method includes linear programming, neural network, genetic algorithm and support vector machine, etc. But for the development of the credit scoring model, there is no consistent conclusion to be drawn regarding which method is the best. In this paper, we will compare the performance of the most common scoring techniques such as logistic regression, neural network, and support vector machines using personal credit data of the financial institution in China. Specifically, we build three models respectively, classify the customers and compare analysis results. According to the results, support vector machine has better performance than logistic regression and neural networks.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.10a
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• pp.55-61
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• 1998

본 논문에서는 비밀성 메커니즘의 암호학적인 안전성에 대한 체계적인 분석을 통하여 난수열의 각종 암호학적, 통계적 성질에 기반한 평가 기법을 소개하고 이를 패키지로써 구현하였다. 본 패키지는 기존의 알려진 통계적 검정 기법들 뿐만 아니라 다양한 암호학적 특성에 기반한 검정 기법들을 종합적으로 분석하여 구현함으로써 차후 개발이 예상되는 새로운 스트림 및 블록 암호 알고리즘의 설계와 안전성 평가에 유용하게 적용될 수 있다.

• Journal of Korea Water Resources Association
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• v.42 no.10
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• pp.795-807
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• 2009

In this study, homogeneity analysis was performed between rainfall observation data set of Chukwooki (CWK) and rainfall observation data set of modern rain gage (MRG) using Bootstrap method. Since traditional statistical homogeneity test method are validated only when distribution of their population is known, meteorological data which their statistical distributions of population are complicated were difficult to verify the homogeneity and there were plenty of room for doubt for their statistical significance using historical method. In this reason, in this study homogeneity test was evaluated between two data sets using bootstrap method which is not necessary to infer distribution of population. The test results show that there was an statistical homogeneity between CWK and MRG except for slight impact of climatical trend.

• Proceedings of the Korean Reliability Society Conference
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• 2001.06a
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• pp.345-351
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• 2001

• Environmental engineer
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• v.18 s.196
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• pp.52-57
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• 2002

통계적인 상관관계 분석이나, 과학적인 실험계획 등을 통하여 결과를 예측하고, 예측된 결과가 개선효과로 나타남으로써 시그마 추진에 대한 신뢰도가 향후 더욱 높아질 것으로 기대된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.157-163
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• 2016

If trace-driven or execution-driven simulation is used for the performance analysis of asymmetric multi-core processors, excessive time and much disk space are necessary. In this paper, statistical simulations are performed for asymmetric multi-core processors with various hardware configurations. For the experiment, SPEC 2000 benchmark programs are used for profiling and synthesis, which is supplied as input for the simulation of asymmetric multi-core processors. As a result, the performance of asymmetric multi-core processor obtained by statistical simulation is comparable to that of the trace-driven simulation with a tremendous reduction in the simulation time.