• Korean Journal of Childcare and Education
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• v.1 no.1
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• pp.21-35
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• 2005

The goal of this study was to examine the relationship between general creativity and musical creativity of children, and utilize the results as the basic data to develope of children' music education. The subjects were 50 children of a kindergarten located in the Jeonlabukdo area. The instruments employed were general creativity and musical creativity scales. The data were analyzed with the SPSS program. They were analyzed by Pearson Correlation. The results of this study are as follows: First, creativity was correlated positively with 'making of the melody'. Second, fluency was correlated positively with 'making of the melody', abstraction of title was correlated positively with 'making of the song words', and elaboration was correlated positively with making of the melody and expression by rhythmic movement.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.177-190
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• 2021

Random forests is a popular method that improves the instability and accuracy of decision trees by ensembles. In contrast to increasing the accuracy, the ease of interpretation is sacrificed; hence, to compensate for this, variable importance is provided. The variable importance indicates which variable plays a role more importantly in constructing the random forests. However, when a predictor is correlated with other predictors, the variable importance of the existing importance algorithm may be distorted. The downward bias of correlated predictors may reduce the importance of truly important predictors. We propose a new algorithm remedying the downward bias of correlated predictors. The performance of the proposed algorithm is demonstrated by the simulated data and illustrated by the real data.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1124-1134
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• 2003

The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it expectedly helps us to exactly predict and diagnose cancer. It is essential to efficiently analyze DNA microarray data because the amount of DNA microarray data is usually very large. Since accurate classification of cancer is very important issue for treatment of cancer, it is desirable to make a decision by combining the results of various expert classifiers rather than by depending on the result of only one classifier. Generally combining classifiers gives high performance and high confidence. In spite of many advantages of ensemble classifiers, ensemble with mutually error-correlated classifiers has a limit in the performance. In this paper, we propose the ensemble of neural network classifiers learned from negatively correlated features using three benchmark datasets to precisely classify cancer, and systematically evaluate the performances of the proposed method. Experimental results show that the ensemble classifier with negatively correlated features produces the best recognition rate on the three benchmark datasets.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.1
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• pp.55-63
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• 2019

In engineering problems, many random variables have correlation, and the correlation of input random variables has a great influence on reliability analysis results of the mechanical systems. However, correlated variables are often treated as independent variables or modeled by specific parametric joint distributions due to difficulty in modeling joint distributions. Especially, when there are insufficient correlated data, it becomes more difficult to correctly model the joint distribution. In this study, multivariate kernel density estimation with bounded data is proposed to estimate various types of joint distributions with highly nonlinearity. Since it combines given data with bounded data, which are generated from confidence intervals of uniform distribution parameters for given data, it is less sensitive to data quality and number of data. Thus, it yields conservative statistical modeling and reliability analysis results, and its performance is verified through statistical simulation and engineering examples.

• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.1-11
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• 1999

This study was to compare the income and financial assets of the Salary Earner and those of Self-Employed households. The data was drawn from the Korean Household Panel Study(KHPS) that was surveyed by Daewoo in 1995. The major findings were as follows: 1. All households were holding salary/business income, and the average of salary/business income of Salary earner household and Self-employed household were found to be 1,580,000 won and 2.050,000 won respectively. 2. Households were holding saving accounts most in both groups. 3. The yearly financial income, yearly immovable property income, and the yearly annuity income were correlated with yearly subsidiary income. The yearly financial income were correlated with the yearly annuity and yield from bonds. There were negative relationships between the yearly annuity and yield from bonds. The yearly miscellaneous income was correlated with the yearly yield from stock. There were negative relationships between the yield from stock and bonds in Salary-Earner households. 4. The yearly subsidiary income and yield from bonds were correlated with monthly business income. The yearly annuity and yearly total amounts of saving accounts were correlated with yearly subsidy income. The immovable property, the yearly yield from stock and bonds were correlated with the yearly financial income. The yearly yield from stock and bonds were correlated with the immovable property and the yearly annuity income. The yearly misellaneous and total amounts of saving accounts were correlated with the yearly yield from stock and bonds. The Yearly yield from stock was correlated with yield from bonds in Self-Employed households. (Koran J of Human Ecology 2(l) : 1-11, 1999)

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.339-356
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• 1997

The purpose of this study is to examine the relationships among role conflict coping strategy and psychological distress of dual-career wives. In order to achieve the study purpose the theoretical model of this study was built on the basis of relevant theories and previous studies, Especially it was influenced by the ABCX model of family stress proposed by Hill, Data were collected from 229 dual-career wives such as professors doctors lawyers teachers pharmacists and nurses. The results were as follows: 1. Role conflict was negatively correlated to self-esteem and positively correlated to psychological distress. 2) in terms of a main effect coping strategy was positively correlated to self-esteem and negatively correlated to psychological distress. 3) In terms of interaction effect coping strategy did not show any significant effect against the negative impacts of role conflict on self-esteem and it on the whole did not whole a significant effect against the positive impacts of role conflict of psychological distress.

• Korean Journal of Child Studies
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• v.33 no.5
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• pp.163-180
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• 2012

The main purpose of this study was to examine the relationship between marital conflict, parental control, and adolescents' anxiety. The participants were composed of 319 high school $1^{st}$ graders (of which 153 were boys and 165 were girls) from the Seoul area. They completed questionnaires on marital conflict, parental control, and adolescents' anxiety. The data were analyzed by means of Pearson's correlation coefficients and regressions. It was observed that marital conflict (frequency/intensity/resolution/content) was positively correlated with adolescents' anxiety. Parental psychological control was also positively correlated with adolescents' anxiety. However parental behavioral control was negatively correlated with adolescents' anxiety. In addition marital conflict was positively correlated with parental psychological control in contrast with that of behavioral control. It was further found that parental psychological and behavioral control partially mediated the relationship between marital conflict and adolescents' anxiety. These results clearly indicate that parental control plays a crucial role in marital conflict and adolescents' anxiety.

• Journal of Nutrition and Health
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• v.32 no.2
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• pp.189-196
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• 1999

This study was conducted to investigate the relationships among the levels of fasting serum insulin, free fatty acid, lipids and anthropometry in normal-weight female college students. Serum insulin and free fatty acid levels were negatively correlated. However, insulin, triglyceride, and cholesterol levels were not correlated with fat mass or BMI(body mass index). The ability of anthropometric and biochemical indicators to predict fatness could be important for epidemiologic and clinical research. In the subjects, waist cirumference was correlated with BMI, fat mass and percent body fat, and HDLC/CHOL (high density lipoprotein cholesterol/cholesterol)was correlated with body weight, BMI, and fat mass. Our data suggests than waist circumference and HDLC/CHOL are predictors of fatness, whereas WHR apears to be a less important contributor to fatness in female college students.

• Proceedings of the KSRS Conference
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• v.1
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• pp.406-408
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• 2006

Various geological thematic maps such as grain size or ground water level maps have been generated by interpolating sparsely sampled ground survey data. When there are sampled data at a limited number of locations, to use secondary information which is correlated to primary variable can help us to estimate the attribute values of the primary variable at unsampled locations. This paper applies two multivariate geostatistical algorithms to integrate remote sensing imagery with sparsely sampled ground survey data for spatial estimation of grain size: simple kriging with local means and kriging with an external drift. High-resolution IKONOS imagery which is well correlated with the grain size is used as secondary information. The algorithms are evaluated from a case study with grain size observations measured at 53 locations in the Baramarae beach of Anmyeondo, Korea. Cross validation based on a one-leave-out approach is used to compare the estimation performance of the two multivariate geostatistical algorithms with that of traditional ordinary kriging.

• Proceedings of the Korea Society for Simulation Conference
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• 2004.05a
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• pp.30-35
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• 2004

모바일 환경에서 브로드캐스트는 그 확장성 때문에 매우 유용한 데이터 전송 방법이다. 'push-based' 데이터 전송 방식에서 서버는 넓은 대역폭을 통해 클라이언트에게 다양한 데이터를 반복적으로 브로드캐스트 한다. 〔1,2〕 브로드캐스트에 기반을 둔 정보 시스템의 데이터간의 연관성에 관한 연구는 미흡한 실정이다. 상호 연관 데이터의 브로드캐스트에서, 클라이언트는 자연스럽게 상호 연관된 데이터의 집합을 요청하게 되며, 데이터의 상호 연관성을 고려할 때 기존의 스케줄링 및 캐싱 기법 등은 달라져야 한다. CBS〔3〕에서는 모든 데이터간의 연관도를 계산하여 최소 비용 경로를 구해, 이 순서대로 브로드캐스트하는 기법을 제안하였다. CBS 기법은, 클라이언트가 연관된 데이터를 동시에 요청하지 않고, NP-문제인 최소 비용 경로를 많은 데이터에 대해서 실시간에 계산해야 되며, 데이터 아이템간의 상호 연관성이 클라이언트마다 다르게 정의되는 문제점이 있다. 따라서 본 논문에서는 응답 시간을 줄이기 위해, 브로드캐스트 되는 상호 연관 데이터의 prefetching기법을 제안한다, 제안된 CT 기법은 상호 연관도와 브로드캐스트 대기시간을 고려하여 캐시를 관리한다. CT를 현실적으로 적용한 ACT의 알고리즘을 소개하였으며, 시뮬레이션을 통해 CT의 성능과 특징을 실험하였다.