• Journal of Digital Convergence
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• v.13 no.7
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• pp.269-282
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• 2015

This study is to define the hemodiafiltration treatment compliance indicators and discriminate standards for hemodiafiltration patients and development of hemodiafiltration treatment compliance measurement-convergent form. Date was collected from 300 on-line hemodiafiltration patients. To verify the hemodiafiltration treatment compliance indicators and discriminate standards, used construct validity and content validity by clinical professional group. Discriminant ability of 3 indicators-interdialysis weight gain rate(IWGR), serum phosphate level, rate of self change of total hemodiafiltration treatment time(SCR-HEFTT)- is 95.6%(wilks ramda=.256, p=.002). And hemodiafiltration treatment compliance measurement-convergent form has 91.7% discriminant accuracy. Hemodiafiltration treatment compliance is important that nurses can aware pre-stage of complication and give appropriate nursing intervention. Also this measurement can be used for foundation data of the nursing intervention development that prevent dialysis patient's complication.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.62 no.2
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• pp.105-112
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• 2017

The mixing of rice and brown rice produced in different years is banned in Korea by the grain management act. However, there has been no reported method for discriminating the production year of rice. The objective of this study was to develop a method for discriminating the production year of rice and brown rice based on their phospholipids content. One hundred rice samples and 130 brown rice samples produced between 2012 and 2015 were collected. Twelve phosphatidylcholine components were analyzed by liquid chromatography-tandem mass spectrometry. Phosphatidylcholine was used as an internal standard to calculate the peak intensity of the samples. A statistical analysis of the results showed that the centroid distance between the stale and new rice was 4.16 and the classification ratio was 97%. To verify the calculated discriminant, 61 and 40 rice samples were collected. The accuracy of discrimination was 82% by primary verification and 80% by secondary verification. The statistical analysis of brown rice showed that the centroid distance between the stale and new brown rice was 3.14 and the classification ratio was 96%. To verify the calculated discriminant, 10 samples of new rice and 30 samples of stale rice were collected and the accuracy of discrimination was 93%. The accuracy of discrimination for rice stored at room temperature was 57.9-92.1% and that for rice stored at a low temperature was 86.8-94.7%, depending on the storage period. For brown rice, the detection accuracy was 94.7-100% at room temperature and 92.1-100% at a low temperature, depending on the storage period. The accuracy of discrimination for rice was affected by the storage temperature and time, while that for brown rice was more than 92% regardless of the storage conditions. These results suggest that the developed discriminant analysis method could be utilized to determine the production year of rice and brown rice.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.10b
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• pp.282-283
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• 2005

• Proceedings of the Korean Society of Crop Science Conference
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• 2003.10a
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• pp.78-79
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• 2003

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.65-77
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• 2018

The purpose of this study is to compare and analyze factors in country risk between Cambodia and Vietnam. OECD and the Export-Import Ban of Korea assess country risk of Cambodia more highly than Vietnam. As results of the parametric tests for evaluation factors on the basis of country risk classification, the economic growth rate, the foreign trade index, and the foreign exchange reserves among the economic risks with the corruption index as the political and social risk have statistically significant effect on the difference between country risks of two countries. However, discriminant factor analysis indicates that the economic growth rate, the foreign exchange reserves, and the corruption index are key variables, which represent the difference between country risks of Cambodia and Vietnam. Consequently, the government of Cambodia needs to try to root out the corruption and to expand trade through increasing export for lowering the country risk to the level of Vietnam. Vietnam would also need to focus on attaining the sustainable high economic growth rate and increasing the foreign exchange reserves.

• Journal of Gifted/Talented Education
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• v.24 no.2
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• pp.191-215
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• 2014

The quality of gifted education depends on the quality of teachers in the field. Teachers in music (Korean traditional music) gifted education are significant variable in identifying students' giftedness and successful instruction. The purpose of this study was to explore the desirable components of teachers in music (Korean traditional music) gifted education and develop the evaluation criteria based on the desirable components. Previous research on the components of good teachers, teachers in gifted education and teachers in music (Korean traditional music) gifted education were reviewed. Based on literature review, the evaluation criteria of teachers in music (Korean traditional music) gifted education was developed. To collect opinions and derive consensus of the evaluation criteria, this research used Delphi method with a panels of 25 experts. The evaluation criteria classified with 3 dimensions, 8 categories, and 18 variables as the result.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.459-461
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• 2022

개인 정보 보호가 중요시되는 초연결사회에서는 정보와 사용자를 연결하는 매개체는 적법하지 않은 사용자를 판별할 수 있어야 한다. 본 연구는 그 매개체를 스마트폰으로 삼고 인간의 걸음걸이에 기반한 스마트폰 인증 시스템을 제안한다. 인간의 걸음걸이를 딥러닝 모델 중 하나인 CNN으로 학습시킨 후, 스마트폰에 탑재하여 사용자가 스마트폰을 휴대한 상태로 7초간 걸음으로써 적법한 사용자인지 아닌지의 여부를 판별한다. 본 연구에서 제안한 모델의 평가 지표로는 정확도, 정밀도, 재현율, F1-score를 사용했으며, 그 결과, 위 4개의 평가지표 모두 평균 95% 이상의 결과를 얻었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.689-691
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• 2023

불균형 데이터의 분류의 성능을 향상시키기 위한 앙상블 구성 방법에 관하여 연구한다. 앙상블의 성능은 앙상블을 구성한 기계학습 모델 간의 상호 다양성에 큰 영향을 받는다. 기존 방법에서는 앙상블에 속할 모델 간의 상호 다양성을 높이기 위해 Feature Engineering 을 사용하여 다양한 모델을 만들어 사용하였다. 그럼에도 생성된 모델 가운데 유사한 모델들이 존재하며 이는 상호 다양성을 낮추고 앙상블 성능을 저하시키는 문제를 가지고 있다. 불균형 데이터의 경우에는 유사 모델 판별을 위한 기존 다양성 지표가 다수 클래스에 편향된 수치를 산출하기 때문에 적합하지 않다. 본 논문에서는 기존 다양성 지표를 개선하고 가지치기 방안을 결합하여 유사 모델을 판별하고 상호 다양성이 높은 후보 모델들을 앙상블에 포함시키는 방법을 제안한다. 실험 결과로써 제안한 방법으로 구성된 앙상블이 불균형이 심한 데이터의 분류 성능을 향상시킴을 확인하였다.

• Journal of Labour Economics
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• v.33 no.3
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• pp.89-127
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• 2010

This paper explores the causes and solutions of the problem that the official unemployment rate does not adequately represent the reality of the employment situation in Korea. First, compared to ILO's international standards, there are several differences in the measurement of unemployment in Korea, for example, the treatment of unpaid family workers working less than 18 hours per week, the classification of persons who are waiting for a new job or temporarily laid-off, and the criteria of job search activities. The questionnaire structure of the Labor Force Survey in Korea also misleads the judgment of economic activity state. Comparing the responses of the basic survey to those of the supplementing survey, approximately 90% of the responses show discrepancies and this indicates the possibility of misclassification. Next, this paper suggests the extended unemployment indicators as alternative, based on the current survey. The extended unemployment indicators support the presence of significant amounts of hidden unemployed and underemployed. And, it is found that the analyses using those indicators are very useful for the investigation of many aspects of employment dynamics.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.237-250
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• 2017

A new field of e-sports gains the great popularity in Korea as well as abroad. AOS (aeon of strife) genre games are quickly gaining popularity with gamers from all over the world and the game companies hold game competitions. The e-sports broadcasting teams and webzines use a variety of statistical indicators. In this paper, as an AOS genre game, League of Legends game data is used for statistical analysis using the indicators to predict the outcome. We develop new indicators with the factor analysis to improve existing indicators. Also we consider discriminant function, neural network model, and SVM (support vector machine) for make winning forecasting models. As a result, the new position indicators reflect the nature of the role in the game and winning forecasting models show more than 95 percent accuracy.