• 산업기술연구
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• 제28권B호
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• pp.101-109
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• 2008

In general, non-stationary or chaos time series forecasting is very difficult since there exists a drift and/or nonlinearities in them. To overcome this situation, we suggest a new prediction method based on multiple model TS fuzzy predictors combined with preprocessing of time series data, where, instead of time series data, the differences of them are applied to predictors as input. In preprocessing procedure, the candidates of optimal difference interval are determined by using con-elation analysis and corresponding difference data are generated. And then, for each of them, TS fuzzy predictor is constructed by using k-means clustering algorithm and least squares method. Finally, the best predictor which minimizes the performance index is selected and it works on hereafter for prediction. Computer simulation is performed to show the effectiveness and usefulness of our method.

• 산업기술연구
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• 제29권B호
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• pp.9-15
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• 2009

In the case of traditional binary encoding technique, it takes long time to converge the optimal solutions and brings about complexity of the systems due to encoding and decoding procedures. However, the ROGAs (real-coded genetic algorithms) do not require these procedures, and the k-means clustering algorithm can avoid global searching space. Thus, this paper proposes a new approach by using their advantages. The proposed method constructs the multiple predictors using the optimal differences that can reveal the patterns better and properties concealed in non-stationary time series where the k-means clustering algorithm is used for data classification to each predictor, then selects the best predictor. After selecting the best predictor, the cluster centers of the predictor are tuned finely via RCGKA in secondary tuning procedure. Therefore, performance of the predictor can be more enhanced. Finally, we verifies the prediction performance of the proposed system via simulating typical time series examples.

• International Journal of Human Ecology
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• 제2권1호
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• pp.111-121
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• 2001

The purpose of this study was to examine how immigrant Korean American parents' aspirations for children's educational attainment are related to their childrearing behavior, their beliefs about the nature of children's intelligence, their level of acculturation, and their beliefs about achievement. One hundred and twenty five immigrant Korean mothers in the United States participated in the study. The present study found that parental expectation for a daughter's educational attainment was significantly related to the mother's educational level. The results of regression analysis also indicated that for daughters, the significant predictors for parents' aspirations for children's educational attainment were the mothers' educational level and parental beliefs about achievement; for sons, significant predictors were the mothers' educational level and parental nurturance.

• International Journal of Human Ecology
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• 제8권2호
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• pp.75-83
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• 2007

Korean secondary school students (n=263) responded to surveys measuring their family contexts and school adjustment during the time period August-September 2004. Structure Equation Modeling tests were conducted to identify the nested model on school adjustment, a latent variable constructed with peer relations, teacher-adolescent relations, and academic attitude. In the nested model, parental involvement was a powerful predictor for school adjustment. Family conflict had a negative impact on school adjustment and was statistically significantly when correlated with the other predictors in the model. These finding suggested that family contexts play an important role in Korean adolescents' school adjustment. Hence, adolescents' perceived GPA level and satisfaction for school were important predictors for school adjustment.

• 한국지역사회생활과학회지
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• 제19권4호
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• pp.597-609
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• 2008

The purpose of this study was to examine the effects of stress on child care teachers' with relation to job turnover, occupational turnover and the moderating role of personal accomplishment. The subjects were 153 child care teachers in Gyeonggi-Do. Data was analyzed through Pearson's correlation, multiple regressions using the SPSS12.0. This study showed that work overload and administrative problems in child care centers were significant predictors of a teachers' intention to change their job. Also, the stresses of human relations such as with children or co-workers were significant predictors of a child care teachers' intention to change occupation. Personal accomplishment was suggested to reduce the negative results of work overload and stress.

• International Journal of Internet, Broadcasting and Communication
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• 제8권3호
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• pp.25-30
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• 2016

User-generated content (UGC) satirizing the presidential candidates was widespread during the 2016 election in Taiwan. Using an experimental design, this study explored the predictors of viewer agreement to satirical UGC, and its influence on viewer attitudes towards candidates after watching the satirical videos from YouTube. Results showed that participants' agreement with the satirical UGC was predicted by their political cynicism and political information efficacy, but not by candidate favorability. Watching the UGC satirizing the presidential candidates effected the favorability toward the male candidates but not the female candidate. In addition, the evidence suggested that the frequency of exposure to satirical UGC is related to political information efficacy, but not with political cynicism or candidate favorability.

• 지역사회간호학회지
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• 제28권1호
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• pp.1-12
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• 2017

Purpose: The purpose of this study is to examine factors affecting quality of life among grandparents raising their grandchildren. Methods: This study carried out a secondary analysis of data from the 2014 Korean Longitudinal Study of Aging (KLoSA) and Statistics Korea. Data collected from 224 grandparents who reported raising their grandchildren were analyzed using descriptive statistics, independent t-test, ANOVA, pearson correlation coefficient, and multilevel regression analysis. Results: The mean score of the participants' quality of life was 62.63. Significant predictors of quality of life of the grandparents included subjective health status, last year's total house income, number of last year's travels, frequency of last year's movie seeing, and number of children's parks per 100,000 population. Conclusion: These results suggest that public health nurses in improving quality of life of grandparents focus on children's parks and formal social supports as community factors as well as regular exercise as an individual factor in order to be more effective.

• 아동학회지
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• 제31권3호
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• pp.83-97
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• 2010

Growth mixture modeling was used to identify types of changes in overt aggression from Grades 4 to 7 among a sample from the Korean Youth Panel Survey. Three discrete patterns were found to adequately explain changes of overt aggression in both boys and girls : Persistent intermediate aggression; Increasing aggression; and Decreasing aggression. Most boys (93%) fell into the Persistent intermediate aggression group and 49% of girls were found to fall into the Increasing aggression group. This suggests that prevention programs should recognize that girls are at risk of increasing aggression in their early adolescence. Multinomial logistic regression analysis shows that self-control, child abuse, peer support, and involvement with deviant peers at Grades 4 were all strongly associated with trajectory class membership. These associations did not differ by gender. These findings suggest that prevention programs should focus on the multiple risk factors of both boys and girls.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2002년도 춘계학술대회
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• pp.119-128
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• 2002

본 연구에서는 전자상거래 개념 및 유형에 대하여 고찰해 보고, 조사기관별 전자상거래 시장 규모 예측치들과 예측방법을 중심으로 비교해 보고자 한다. 또한, 전자상거래 시장규모 예측치의 신뢰성을 증진시키기 위한 몇 가지 방안을 마련하고자 한다.

• Child Health Nursing Research
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• 제16권3호
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• pp.203-210
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• 2010

Purpose: This study was done to identify cell phone addiction in high school students and variables predicting this addiction. Methods: The participants were 469 adolescents from four high schools. Data were collected through self-report questionnaires, and analyzed using the SPSS program. Results: Of the high school students, 88.4% reported being average users, 7.5%, heavy users, and 4.1%, cell phone addicted. Cell phone addiction was significantly correlated with immediate self-control, self-efficacy, depression, and peer support. Predictors of cell phone addiction were the following: receiving text message on weekends, immediate self-control, main use (text message), minute per call on weekdays, listening to music, gender (female), monthly call charges, depression, person called (friends), and self-efficacy. These factors explained 39% of variance in cell phone addiction. Conclusion: The above findings indicate that cell phone addiction in high school students was influenced by gender, cell phone use, and psychological factors. Therefore the approach to effective cell phone addiction management for high school students is to consider these variables when developing programs for these students.