• Journal of the Korean Mathematical Society
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• v.50 no.2
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• pp.379-392
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• 2013

A general result for the complete convergence of arrays of rowwise extended negatively dependent random variables is derived. As its applications eight corollaries for complete convergence of weighted sums for arrays of rowwise extended negatively dependent random variables are given, which extend the corresponding known results for independent case.

• Korean Journal of Mathematics
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• v.21 no.4
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• pp.383-399
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• 2013

In this paper, we establish two types of strong law of large numbers for fuzzy random variables taking values on the space of normal and upper-semicontinuous fuzzy sets with compact support in a separable Banach space. The first result is SLLN for strong-compactly uniformly integrable fuzzy random variables, and the other is the case of that the averages of its expectations converges.

• Bulletin of the Korean Mathematical Society
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• v.57 no.3
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• pp.607-622
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• 2020

In the paper, some probability convergence properties of series for rowwise sums of negatively superadditive dependent (NSD) random variables are discussed. We establish some sharp results on these convergence for NSD random variables under some general settings, which generalize and improve the corresponding ones of some known literatures.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.275-284
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• 2014

Decision Tree is one of analysis techniques which conducts grouping and prediction into several sub-groups from interested groups. Researcher can easily understand this progress and explain than other techniques. Because Decision Tree is easy technique to see results. This paper uses CART algorithm which is one of data mining technique. It used 273 variables and 70094 data(2010-2011) of working environment survey conducted by Korea Occupational Safety and Health Agency(KOSHA). And then refines this data, uses final 12 variables and 35447 data. To find satisfaction factor in working environment, this page has grouped employee to 3 types (under 30 age, 30 ~ 49age, over 50 age) and analyzed factor. Using CART algorithm, finds the best grouping variables in 155 data. It appeared that 'comfortable in organization' and 'proper reward' is the best grouping factor.

• Human Ecology Research
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• v.51 no.3
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• pp.333-340
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• 2013

The purpose of this study is to identify the influences of parental attitude, parenting attitudes, family function and peer attachment on the self-efficacy of middle school students in multicultural families. In particular, peer attachment was used as a mediator to determine the effects of self-efficacy. 302 multicultural family adolescents who enrolled in Seoul and Gyeonggi-do middle schools were surveyed. In order to measure the variables, this study used such scales as parenting attitude scale, family function scale, peer attachment scale and self efficacy scale. The results were analyzed by the PASW 18.0 program. The findings of the study led to the following conclusions; First, it has shown that peer attachment was the only variable that had significant differences by sex in middle school students of multicultural families. Second, the most influential variables of self-efficacy of middle school students in multicultural families was peer attachment among parenting attitude, family function and peer attachment. Third, there was a mediating effect of peer attachment among parenting attitude, family function and self-efficacy for adolescents of multicultural families. The notable distinction of this study was to find that peer attachment variable is the most important factor of self-efficacy. Considering the results in this study, aggressive intervention is necessary in order to improve the self-efficacy of middle school students in multicultural families.

• Korean Journal of Child Studies
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• v.23 no.3
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• pp.217-231
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• 2002

The present study investigated quality of school-age child care in 142 centers (42 child care centers, 54 social welfare centers, 35 local child center, and 11 elementary schools) located in Seoul. Overall, the quality of school-age child care was not up to standards : 7% were very well managed, 44.4% were well managed and 48.6% were poorly managed. Financial support from the government was the most important factor affecting the quality of school-age child care. The child care centers receiving financial support from the government showed high quality care.

• Journal of the Korean Home Economics Association
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• v.44 no.3 s.217
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• pp.13-25
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• 2006

In the information age, the spread of internet has a lot of positive aspects. However, it also has very serious problems with adverse effects on immature teenagers both physically and mentally. Among them, internet addiction has recently grown into a social problem. The purpose of this study is to examine the relationship between the degree of internet addiction of teenagers and the related variables, such as individual variables, using internet variable, parent-child relationship variable, and psychological variable. The survey subjects were 452 high school students in the Gimhae area. The results were as follows: First, the average score of internet addiction among the teenagers of this study was 48.24 out of 100. Which according to Young's classification, corresponds to an early stage addiction. Second, there was a significant difference in the degree of internet addiction by students' school record. The low-graded group was highly addicted to the internet. Third, the longer the teenagers were exposed to the internet, the higher they were addicted. Fourth, the degree of internet addiction was influenced by parent-child relationship. There was low addiction in a group with their parents' high support. Fifth, the degree of internet addiction was differed by psychological variables, such as self-control, self-esteem and depression. Low self-control, low self-esteem and highly depressed teenagers were related to a higher degree of internet addiction.

• Korean Journal of Child Studies
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• v.34 no.4
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• pp.105-123
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• 2013

The purpose of this study was to examine the effects of a child's demographic variables and maternal perceptions of the conditions of happiness on their happiness for mothers. The participants of this study comprised 916 mothers of young children, school-aged children, and adolescents. The results revealed that a child's age and the numbers of children influenced maternal happiness when mothers' demographic variables were controlled. In addition, mothers who exhibited high degree of need in terms of the conditions of happiness regarding existence, relatedness, and growth were more likely to be happy than mothers who exhibited low degree of needs. Finally, the expectations regarding growth, which refers to the pursuit of self-accomplishment and meaning, was the most important predictor of maternal happiness. These findings have implications for parent education programs for mothers of young children, school-aged children, and adolescents.

• Journal of the Korean School Mathematics Society
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• v.9 no.1
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• pp.41-55
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• 2006

Although gifted students are well ready in the perspective of intelligence, in order to make their learning highly effective, it is necessary to revitalize their intellectual abilities and progress it into proactive learning behaviour It is requisite to stress on the affective variables for achieving this. This study examined and analyzed affective variables for the subject mathematics on self-concept toward mathematics, attitude, interest, mathematical anxiety, and learning habits.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2818-2820
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• 2002

In this paper, we design neurofuzzy networks architecture by means of linear fuzzy inference. The proposed neurofuzzy networks are equivalent to linear fuzzy rules, and the structure of these networks is composed of two main substructures, namely premise part and consequence part. The premise part of neurofuzzy networks use fuzzy space partitioning in terms of all variables for considering correlation between input variables. The consequence part is networks constituted as first-order linear form. The consequence part of neurofuzzy networks in general structure(for instance ANFIS networks) consists of nodes with a function that is a linear combination of input variables. But that of the proposed neurofuzzy networks consists of not nodes but networks that are constructed by connection weight and itself correspond to a linear combination of input variables functionally. The connection weights in consequence part are learned by back-propagation algorithm. For the evaluation of proposed neurofuzzy networks. The experimental results include a well-known NASA dataset concerning software cost estimation.