• Proceedings of the Korean Reliability Society Conference
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• 2001.06a
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• pp.231-232
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• 2001

IEC 60300에서 규정한 신뢰성시험으로부터 얻은 시험자료(Test Data)의 형태와 자료분석에 쓰이는 통계적 도구와 자료분석도구와 분석과정에 대해서 수리가능한 제품과 불가능한 제품으로 구분하여 설명한다.

• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.161-166
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• 2001

IEC 60300에서 규정한 신뢰성시험으로부터 얻은 시험자료(Test Data)의 형태와 자료분석에 쓰이는 통계적 도구와 자료분석도구와 분석과정에 대해서 수리가능한 제품과 불가능한 제품으로 구분하여 설명한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1516-1519
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• 2011

예측에 필요한 중요한 자료에는 비선형 자료와 시계열과 같은 선형 자료 등이 있다. 이들 자료는 그 함축적인 관계가 매우 복잡하여 전통적인 통계분석 도구로 식별하는데 어려움이 많다. 신경망 분석은 비모수적 문제나 비선형 곡선 적합능력의 우수성 때문에 현실세계에서의 고유한 복잡성을 다루는 많은 경제 응용 분야에서 널리 이용되고 있다. 신경망은 또한 경제 시계열자료의 예측분야에서도 여러 연구에서 훌륭한 도구로서 적용되고 있다. 전통적으로 우리나라에서 시계열자료의 예측은 선형 자료적 분석을 중심으로 하는 분석도구인 자기회귀누적이동평균(ARIMA)모형을 이용한 시계열분석이 일반적이다. 이 연구에서는 신경망과 ARIMA 모형을 이용하여 한국의 주가변동 자료 및 자동차등록 현황 자료등과 같은 시계열자료를 이용한 예측결과를 비교한다. 연구의 결과는 신경망을 이용한 예측 방법들이 ARIMA 예측 결과보다 통계적으로 작은 오차를 주는 보다 효율적인 방법임을 보여주고 있다.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.161-164
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• 2001

정밀한 자료처리를 위한 영상 분석도구의 개발과 더불어 영상 특성을 바탕으로 한 영상처리와 분석 방법의 개발은 좋은 연구 보조 도구가 된다. 외국의 수입에 의존적인 현재의 연구환경에서 개발자로서의 영상분석도구의 설계 및 구현은 고가의 장비를 대치할 만한 대체효과와 더불어 개인의 개발의지와 아이디어를 쉽게 반영하여 실습해 볼 수 있는 도구적 기능으로서의 효과를 가지게 된다. 본 논문에서는 의료영상 분석을 위한 영상분석도구를 설계 및 구현하여 의료영상에 대한 처리를 하여 보았다. 영상분석도구의 계속적인 개발은 영상처리 및 분석을 연구하는 개발자에게 좋은 실험도구가 될 것이 다.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.355-368
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• 2016

Outliers and influential data points distort many data analysis measures. Jang and Anderson-Cook (2014) proposed a graphical method called a rework plot for exploratory analysis purpose so that there could be a possible visualization of the trace of the impact of the possible outlying and/or influential data points on the univariate/bivariate data analysis and regression. They developed 3-D plot as well as pairwise plot for the appropriate measures of interest. This paper further extends their approach to identify its strength. We can use rework plots as a graphical exploratory data analysis tool to evaluate the impact of outliers in skewness and kurtosis of univariate data.

• The Korean Journal of Applied Statistics
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• v.31 no.1
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• pp.155-165
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• 2018

Outliers and influential observations often distort many numerical measures for data analysis. Jang and Anderson-Cook (Quality and Reliability Engineering International, 30, 1409-1425, 2014) proposed a graphical firework plot method for exploratory analysis purpose to provide a possible visualization of the trace of the impact of the possible outlying and influential observations on the univariate/bivariate data analysis and regression. They developed 3-D plot as well as pairwise plot for the appropriate measures of interest. We use firework plots as a graphical exploratory data analysis tool to detect outliers and evaluate the impact of outliers in statistical inference.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.556-558
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• 2003

초등학생들에게 읽기 교과서는 어휘 습득에 있어 의도적인 자료의 시작으로, 그 어휘를 조사, 계량화하는 일의 의미는 매우 크다고 할 수 있다. 어휘 조사 과정의 중요한 작업은 많은 양의 자료를 색인, 계량하는 일이다. 이러한 자료 처리에 컴퓨터를 이용하면, 많은 부분을 자동화 할 수 있으며. 분석된 자료를 이용하여 다양한 작업이 가능할 것이다. 많은 양의 자료를 원활하게 처리하기 위해서는 적절한 도구가 필수적이다 이에 어휘 조사 과정을 보다 편리하게 하고, 자동으로 처리할 수 있으며, 만들어진 자료를 재활용 할 수 있는 어휘 조사 도구를 설계하게 되었다.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.181-189
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• 2021

The purpose of this study is to investigate the relationship between "Mental Status and Dementia Tests" and "predictive diagnosis of severity of dementia". This is a descriptive research, analyze the data collected from Alzheimer's patients and identify which "Mental Status and Dementia Tests" has the most impact to determine the severity of dementia. For this study, Alzheimer's patient's CDR, MMSE-K, SGDS, NPI-Q, BADL and IADL were collected and analyzed. This study will provide a predictive factor to determine the severity of dementia when "Mental Status and Dementia Testss" are being used and also to provide the right treatment. For this study, a total of 617 cases of data from Alzheimer's patients were collected and analyzed with SPSS Statistics. In addition, effective "Mental Status and Dementia Tests" for evaluating the severity of dementia were CDR, ADL, MMSE-K, and SGDS whereas NPI-Q and IADL. Based on the findings of the study, it was recommended to implement more efficient diagnostic method by utilizing a standardized "Mental Status and Dementia Tests".

• Communications of Mathematical Education
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• v.33 no.4
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• pp.471-488
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• 2019

This paper aims to examine how mathematical history is used in $ textbooks according to the 2015-Revised Curriculum. We analyze the distribution and characteristics of making use of the mathematical history in the nine textbooks, using the framework suggested by Jankvist (2009) on the whys and hows of using historical tasks. First, the tasks related to mathematical history in the textbooks are mostly used as an affective tool, while few tasks are used as a cognitive tool. Second, most of the historical tasks of the type of an affective tool are introducing the anecdotes of mathematicians or in the history of mathematics, and only one case is trying to show human nature of mathematics by illuminating the difficulties mathematicians were faced with. Third, all the mathematical history tasks used as affective tools and goals are illumination materials, while only two out of the ten tasks in the category of a cognitive tool are illumination materials, yet eight others are modular ones. Considering the importance and value of using mathematical history in the math education, this paper recommends that more modular materials on mathematical history tasks in the category of cognitive tools and goals should be developed and their deployment in the textbooks or courses should be promoted. $

• Journal of The Korean Association For Science Education
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• v.37 no.5
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• pp.891-909
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• 2017

This study analyzed some of the discrepancies in quantitative and qualitative data focusing on cognitive and affective achievement in science education. Academic and affective achievement score of 308 high school students were collected as quantitative data, and 33 students were interviewed for qualitative data. We examined the causes and types of discrepancies in terms of testing tools. As a result from quantitative data, there were a large number of students with a big difference between subjects in cognitive achievement, and constructs in affective achievement. More than 20% of the students did not match tendency between achievements in two areas. Through interviews, some examples such as intentional control of science learning for future study and careers, different responses by differences in perception between school science and science, appeared. A comparison of quantitative data by testing tool between qualitative ones and interviews showed conflicting result, where most students evaluated themselves differently from their own quantitative data. That is due to the students' interaction with the testing tools. Two types of discrepancy related to testing tool are found. One is 'the concept difference between the item developer and students,' the other is 'the difference between students' exposed response and their real mindset.' These are related to the ambiguity of the terms used in the tool and response bias due to various causes. Based on this study, an effort is required to elaborate the testing item that matches students' actual perception and to apply students' science learning experience to testing items.