• Journal of the Korean Home Economics Association
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• v.41 no.1
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• pp.169-185
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• 2003

The present study was to investigate whether Cyberspace addiction groups could be classified into types and examine the relationship with types of Cyberspace addiction and adolescents' psychological environment. The findings were as follows: First, adolescents' Cyberspace addiction was analyzed by factor analysis and classified by four different types, which were named as sensation seeking, life interference, time dependency, and psychological dependency. Second, male students experienced more sensation seeking and life interference tendencies than female students who experienced more psychological dependency tendency than male students. High school students experienced more life interference tendency than middle school students. Third, there was relationship with types of adolescents Cyberspace addiction and psychological environment. Adolescents who addicted Cyberspace with sensation seeking were more likely to avoid conversation with families, and had a tendency of compulsiveness and depression. Adolescents who addicted Cyberspace with life interference had a tendency of compulsiveness and depression, and had a problem of school life and family relationship. Adolescents who addicted Cyberspace with time dependency showed the compulsiveness and avoided conversation with families. Adolescents who addicted Cyberspace with psychological dependency were more likely to have peer relationship and had a tendency of depression. Conclusively, the psycho-social environment such as compulsiveness, depression, family and peer relationship, and school environment was related to types of adolescents' Cyberspace addiction more or less.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.431-433
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• 2012

스파스 분석(Sparse analysis)은 프로그램의 데이터 의존관계(Data dependency)에 따라 필요한 정보를 필요한 부위와 시점으로 바로 보냄으로써 분석을 수행한다. 이 데이터 의존관계의 성질을 이용하면 프로그램 분석을 효율적으로 병렬화 할 수 있는 여지가 생긴다. 이 논문에서는 데이터 의존 관계를 이용하여 스파스 분석을 병렬화 하는 방법을 제시한다. 9개 오픈소스를 통해 실험해본 결과, 프로그램에 따라 6~37%, 평균적으로는 24% 가량 속도가 향상되었다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1107-1116
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• 2014

In this paper, we review recent developments in network analysis using the graph theory, and introduce ongoing research area with relevant theoretical results. In specific, we introduce basic notations in graph, and conditional and marginal approach in constructing the adjacency matrix. Also, we introduce the Marcenko-Pastur law, the Tracy-Widom law, the white Wishart distribution, and the spiked distribution. Finally, we mention the relationship between degrees and eigenvalues for the detection of hubs in a network.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.791-800
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• 2009

Recently, the business process family model (BPFM), which is new approachfor assuring businessflexibility and enhancing reuse in application development with service oriented architecture (SOA), was proposed. The BPFM is a model which can explicitly represent the variabilities in business process family by using the variability analysis method of software product line. Many business process models (BPM) can be generated automatically through decision and pruning processes from BPFM. At this time, the variabilities tend to have inclusive or exclusive dependencies between them. This affects the decision and pruning processes. So far, little attention has been given to the binding information of variability dependency in the BPFM. In this paper, we propose an approach for analyzing various types of dependency relationships between variabilities and representing the variability and their relationships as a dependency analysis model. Additionally, a method which can trace the variabilities affected by a decision on the dependency analysis model is presented. The case study shows that the proposed approach helps to reduce the number of variability decision and to solve a disagreement of functions in BPM produced by incorrectly deciding the variability.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.7-16
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• 2011

This study investigates the degree of dependency on freeways when auto travelers make route choices in the Seoul Metropolitan Area. The investigation is conducted based on aggregated auto trip data, defining the degree of dependency as the proportion of auto trips selecting freeways in their travel paths. The analyses reveal that the trips departing from the areas with higher accessibility to freeways tend to exhibit higher dependency on freeways. In addition, the dependency is significantly affected by the travel time differences between two paths including and excluding freeways, respectively. The number of service interchanges was found to be one of significant factors for trips to Incheon and Gyenggi areas. The finding indicates that the factors affecting the degree of dependency on freeways may vary depending on the areas' characteristics. The findings would enhance the understanding of drivers' route choice behavior in Seoul at an aggregate level.

• Human Ecology Research
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• v.56 no.2
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• pp.145-156
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• 2018

This study investigates the effects of over-parenting behavior and peer-alienation on adolescents' school adjustment and explores the mediating effects of smartphone dependency on the above relations. The subjects were 1,882 first grade students in middle school selected from the 7th year data of the 2010 Korea Children and Youth Panel Survey (2010 KCYPS). Data were analyzed by descriptive statistics, Pearson's correlation, structural equational models, and Sobel test with SPSS 21.0 and Amos 18.0. The findings were as follows. First, there was no significant difference in the school adjustment according to gender. However, boys were higher in the perception of over-parenting behavior and peer-alienation, and girls were higher in smartphone dependency. Second, peer-alienation and smartphone dependency had negative impacts on the school adjustment. But over-parenting behavior had no significant effect on school adjustment. Third, smartphone dependency played a mediator role between over-parenting behavior and peer-alienation as well as the school adjustment. Fourth, there were no significant differences between boys and girls in the relations among over-parenting behavior, peer-alienation, smartphone dependency and school adjustment. But there was a slight difference in influence. The findings of this study suggest that interventions on how to use smartphone correctly are important for improving adolescents' school adjustment. In addition, gender differences in school adjustment should be considered for a better understanding.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.409-421
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• 2021

This study aims to identify the relationship between adolescents' smart phone dependency, parenting method and aggression, and further to validate the mediating effect of parenting style between adolescents' smart phone dependency and aggression. First, adolescents' smart phone dependency has shown to have positive and negative relationships with the parenting style and aggression. Second, adolescents' smart phone dependency negatively affected their aggression through the positive parenting style, while it had a positive impact on their aggression through the negative parenting style. That is, the results demonstrated that adolescents' smart phone dependency increased their aggression, but at that time the positive parenting style such as warmth, support of autonomy, and provision of aid decreased their aggression as a mediator, whereas the negative parenting style such as refusal, compulsion, and inconsistency increased their aggression.

• The Research Journal of the Costume Culture
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• v.30 no.6
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• pp.842-860
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• 2022

There has been growing attention on the well-being of people with disabilities. The purpose of this study was twofold: (1) to investigate the associations between individuals' socio-demographic and psychological characteristics and clothing expenditure, and (2) to examine the moderated mediation effect of self-efficacy and acceptance of disability on the association between dependency on others and happiness among people with visual impairment. This study was based on secondary analysis of data from the second wave of the 6th Panel Survey of Employment for the Disabled collected by the Employment Development Institute. The results of this study showed that average monthly expenditure on clothing was positively associated with self-efficacy, happiness, and acceptance of disability, while being negatively associated with dependency on others. The results also confirmed that self-efficacy mediated the association between dependency on others and happiness. A conditional direct effect of dependency on others on happiness was found, in which negative associations were significant among people with visual impairment who had low and mean levels of acceptance of disability (but not high levels). In addition, there was a significant conditional indirect effect, in which the indirect and negative effect of dependency on others on happiness via self-efficacy was significant for those with low and average levels of acceptance of disability. These findings support the importance of enhancing the independence and acceptance of disability among people with visual impairment, which ultimately contributes to their happiness.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.110-116
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• 2022

Human failure event (HFE) dependency analysis is a part of human reliability analysis (HRA). For efficient HFE dependency analysis, a maximum number of minimal cut sets (MCSs) that have HFE combinations are generated from the fault trees for the probabilistic safety assessment (PSA) of nuclear power plants (NPPs). After collecting potential HFE combinations, dependency levels of subsequent HFEs on the preceding HFEs in each MCS are analyzed and assigned as conditional probabilities. Then, HFE recovery is performed to reflect these conditional probabilities in MCSs by modifying MCSs. Inappropriate HFE dependency analysis and HFE recovery might lead to an inaccurate core damage frequency (CDF). Using the above process, HFE recovery is performed on MCSs that are generated with a non-zero truncation limit, where many MCSs that have HFE combinations are truncated. As a result, the resultant CDF might be underestimated. In this paper, a new method is suggested to incorporate HFE recovery into the MCS generation stage. Compared to the current approach with a separate HFE recovery after MCS generation, this new method can (1) reduce the total time and burden for MCS generation and HFE recovery, (2) prevent the truncation of MCSs that have dependent HFEs, and (3) avoid CDF underestimation. This new method is a simple but very effective means of performing MCS generation and HFE recovery simultaneously and improving CDF accuracy. The effectiveness and strength of the new method are clearly demonstrated and discussed with fault trees and HFE combinations that have joint probabilities.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.121-129
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• 2019

The purpose of this study is to investigate how the variables of parenting styles and dependency on the smart phone affect college students' satisfaction to campus life, to seek the better ways for the college students to fit into the new environment, and to offer the practical tips based on our findings. In this study, we applied the regression analysis to verify the relationship among the variables related to the satisfaction to university life and the mediating effect of dependency on the smart phone. The results of this study suggest that the positive rearing attitude, which is the subfactor of parenting styles, has a negative effect on the dependency on the smart phone, and that dependency on the smart phone has a negative effect on the satisfaction to college life. At the same time it is found out that the negative rearing attitude has a positive effect on dependency on the smart phone, and that dependency on the smart phone has a negative effect on the satisfaction to the college life. In addition, the dependency on the smart phone has a partial mediating effect on the relationship between the positive/negative rearing attitudes and dependency on the smart phone. Based on these findings, we recommended the better ways to improve college students' satisfaction to their college lives.