• Journal of the Korean Society of Costume
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• v.32
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• pp.21-30
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• 1997

Chogori the basic upper garment of korea costume occupies an important role in tra-ditional dressing and continues to be in use to the present days. Of course there has been changes in the length and line of Chogori with the flow of time based on the Ancient Yoo. This is a study of the 14 parts of Chgori based on statistical analysis by computing the practical measuements. Here the statistical analysis is a objective and quantitative of the stylistic changes in Chogori with time. In this study from the data the Mean and Standard deviation has been evaluated and periodic change is shown by graph to test the periodic change T-test Regressional analysis Index analysis has been used. The results are as follows: 1. The length of clothing has changed with time except the sleeve length. Here the length of clothing means all the other measurements ex-cept the sleeve Thus while the measurements of sleeve length has been uniquely unchanged the other measurements have influenced each other. 2. Generally the form of Chogori had the tendency towards smallness in the 19th cen-tury. But it tended to get larger in the 20th century. 3. Compared to other periods the mode of 19th and 20th century Chogori was widely ac-cepted as the Standard deviation of that period was very narrow. 4. The results seen from the regressional analysis of the Cho-sun period woman's Chogori satisfy the t-value and R-squared and thus support the regression formula presump-tion. 5. From the index analysis it is revealed that with decrease in the armhole measurement sleeve measurement and neckband; relatively same decrease in the wrist measurement; and very marked decrease in the sideline measurement.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.583-595
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• 2005

Contingency tables are used to compare counts of n-grams to determine if the n-gram is a true collocation, meaning that the words that make up the n-gram are highly associated in the text. Some statistical methods for identifying collocation are used. They are Kulczinsky coefficient, Ochiai coefficient, Frager and McGowan coefficient, Yule coefficient, mutual information, and chi-square, and so on. But the main problem is that these measures are based ell the assumption of a nor-mal or approximately normal distribution of the variables being sampled. While this assumption is valid in most instances, it is not valid when comparing the rates of occurrence of rare events, and texts are composed mostly of rare events. In this paper we have simply reviewed some statistics about testing association of two words. Some randomization tests to evaluate the significance level in analyzing collocation in large corpora are proposed. A related graph can be used to compare different lest statistics that ran be used to analyze the same contingency table.

• The Korean Journal of Applied Statistics
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• v.33 no.2
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• pp.115-122
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• 2020

K-means clustering uses a spherical or elliptical metric to group data points; however, it does not work well for non-convex data such as the concentric circles. Spectral clustering, based on graph theory, is a generalized and robust technique to deal with non-standard type of data such as non-convex data. Results obtained by spectral clustering often outperform traditional clustering such as K-means. In this paper, we review spectral clustering and show important issues in spectral clustering such as determining the number of clusters K, estimation of scale parameter in the adjacency of two points, and the dimension reduction technique in clustering high-dimensional data.

• Industrial Engineering and Management Systems
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• v.7 no.3
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• pp.245-256
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• 2008

In order to cope with the ill-defined problem of human behavior being immanent uncertainty, several methodologies have been studied in game theoretic, social psychological and political science frameworks. As methods to arrange system elements systematically and draw out the consenting structural model concretively, ISM, FSM and DEMATEL based on graph theory etc. have been proposed. In this paper, we propose a modified structural modeling method to recognize the nature of problem. We introduce the statistical method to adjust the establishment levels in group decision situation. From this, it will become possible to obtain effectively and smoothly the structural model of group members in comparison with the traditional methods. Further we propose a procedure for achieving the consenting structural model of group members based on the structural modeling method. By applying the method to recognize the nature of ill-defined problems, it will be possible to solve the given problem effectively and rationally. In order to inspect the effectiveness of the method, we conduct a practical problem as an empirical study: "Behavior analysis of passengers for the Joban line of East Japan Railway Company after new railway service of Tsukuba Express opened".

• Genomics & Informatics
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• v.3 no.1
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• pp.30-34
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• 2005

Microarray technology makes it possible to measure the expressions of tens of thousands of genes simultaneously under various experimental conditions. Identifying differentially expressed genes in each single experimental condition is one of the most common first steps in microarray gene expression data analysis. Reasonable choices of thresholds for determining differentially expressed genes are used for the next-stap-analysis with suitable statistical significances. We present a supervised model for identifying DEGs using pathway information based on the global connectivity structure. Pathway information can be regarded as a collection of biological knowledge, thus we are trying to determine the optimal threshold so that the consequential connectivity structure can be the most compatible with the existing pathway information. The significant feature of our model is that it uses established knowledge as a reference to determine the direction of analyzing microarray dataset. In the most of previous work, only intrinsic information in the miroarray is used for the identifying DEGs. We hope that our proposed method could contribute to construct biologically meaningful structure from microarray datasets.

• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.123-129
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• 2001

지금까지 한국어 품사 부착을 위해 다양한 모델이 제안되었고 95% 이상의 높은 정확도를 보여주고 있다. 그러나 4-5%의 오류는 실제 응용 분야에서 많은 문제를 야기시킬 수 있다. 이러한 오류를 최소화하기 위해서는 오류를 분석하고 이를 수정할 수 있는 규칙들을 학습하여 재사용하는 방범이 효과적이다. 오류 수정 규칙을 학습하기 위한 기존의 방법들은 수동학습 방법과 자동 학습 방법으로 나눌 수 있다 수동 학습 방법은 많은 비용이 요구되는 단점이 있다. 자동 학습 방법의 경우 모두 변형규칙 기반 접근 방법을 사용하였는데 어휘 정보를 고려할 경우 탐색 공간과 규칙 적용 시간이 매우 크다는 단점이 있다. 따라서 본 논문에서는 초기 모델에 대한 오류 수정 규칙을 효율적으로 학습하기 위한 새로운 방법으로 결정 트리 학습 방법을 확장한 통계적 결정 그래프 학습 방법을 제안한다. 제안된 방법으로 두 가지 실험을 수행하였다. 초기 모델의 정확도가 높고 말뭉치의 크기가 작은 첫 번째 실험의 경우 초기 모델의 정확도 95.48%를 97.37%까지 향상시킬 수 있었다. 초기 모델의 정확도가 낮고 말뭉치 크기가 큰 두 번째 실험의 경우 초기 모델의 정확도 87.22%를 95.59%로 향상시켰다. 또한 실험을 통해 결정 트리 학습 방법에 비해 통계적 결정 그래프 학습 방법이 더욱 효과적임을 알 수 있었다.

• The Korean Journal of Applied Statistics
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• v.21 no.6
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• pp.911-921
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• 2008

Visualization of the gene expression data on a low-dimensional graph is helpful in uncovering biological information contained in the data. In this study, we focus on two modified versions of the parallel coordinate plot. First one is the ePCP(enhanced parallel coordinate plot) which shows "near smooth" connecting curves between axes spaced proportionately to the proximity of re-ordered variables. Second one is APCP(Andrews' type parallel coordinate plot) which is obtained by rotating Andrews' plot that has a form of the parallel coordinate plot. Visualization procdures using ePCP and APCP are given for the lymphoma data case.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.15-22
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• 2013

In clinical study or epidemic research, the $2{\times}2$ frequency table is useful to present a summary statistic The values of four cells in $2{\times}2$ table use to calculate the effect measures such as risk ratio, relative ris ratio or odds ratio. In this paper, we suggest that the improved visualization method using a radar diagram supported by MS-office Excel from the $2{\times}2$ frequency table is able to understand and draw easily betweendiagnosti measures such as sensitivity, specificity, predictivity, and likelihood ratio. We use some numerical example in order to show the usage of the proposed method.

• Journal of Educational Research in Mathematics
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• v.19 no.1
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• pp.99-121
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• 2009

This study analyzed the difficulty trend of item which are common with TIMSS 1999, 2003, 2007 and are released since TIMSS 2007. The results show that the 7th curriculum has positive effects on the students' achievement in the domain such as spatial sense of rotation, ratio proportion percent, pattern, calculation of decimal numbers, concept of angle, area of triangle, and qualitative approach to graph. And the results leaved the consideration for the process of scoring, teaching method of statistical probability concept, and making table as a problem solving method.

• KSBB Journal
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• v.32 no.1
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• pp.46-53
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• 2017

There are four types (So-Eum, So-Yang, Tae-Eum, Tae-Yang type) in Sasang constitutional medicine (SCM). In SCM, not only people but also herbal medicine are classified into four types. To date, there has been very little evidence of experimental classifications in SCM. So, we adapted Issatchenkia orientalis in two different culture media made from the herbal medicines for So-Eum and for So-Yang type. And the adapted Issatchenkia orientalis was inoculated into another eight culture media made from the herbal medicines for So-Eum and for So-Yang type. The mass reduction was measured every 12 hours for 2 days. Then, we analyzed the statistical differences of herbal medicines for So-Eum and for So-Yang type. There were significant differences of variables (R: rate of change in mass reduction, S: convex degree of mass reduction graph) in herbal medicine media for So-Eum (p=0.001, 0.001, respectively.). Suggesting a microbiological method of Sasang medicine research, current study may contribute to the establishment of experimental Sasang constitutional herbal medicine.