• 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.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.471-482
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• 2015

This study aimed to demonstrate the complex and structural relationships between (a) the purposes of using mobile phones, and (b) the levels of mobile phone dependency and depressive symptoms among elementary school students. We analyzed data from the 3rd Korean Children and Youth Panel Survey using structural modeling. Results showed the level of mobile phone usage for contacting family members negatively affected the mobile phone dependency. However, the levels of mobile phone usage for contacting friends and personal entertainment positively influenced the mobile phone dependency. Mobile phone dependency positively affected depressive symptoms. Mobile phone dependency partially mediated the relationship between the level of mobile phone usage for contacting family members and depressive symptoms. Mobile phone dependency fully mediated two relationships: (1) between the level of mobile phone usage for contacting friends and depressive symptoms and (2) between the level of mobile phone usage for personal entertainment and depressive symptoms.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.257-265
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• 2019

The purpose of the present study was to examine the causal relationship between aggression and mobile phone dependency among high school students and to test the mediating effect of self-esteem, and to draw out implications in order to encourage proper use of mobile phone. In this paper, we proposed a research model between aggression, self-esteem and mobile phone dependency. The present study analyzed the fourth, fifth, and sixth wave data from KCYPS 2010, using the structural equation modeling. The primary results were as follows. First, the effect of high school students' aggression on mobile phone dependency was not significant. Second, high school students' aggression had a significantly negative effect on self-esteem. Third, high school students' self-esteem had a significantly positive effect on mobile phone dependency. Fourth, high school students' self-esteem could be a significant mediator between aggression and mobile phone dependency. In conclusion, theoretical and practical suggestions were discussed in order to solve the problem of adolescents' mobile phone dependency.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.577-586
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• 2021

This study is objected to identify the influencing factors of adolescents' smartphone dependency and to determine the degree of influence on smartphone dependency through direct and indirect channels acting between factors. The data of the 2th Korean Child-Youth Panel Survey(KCYPS 2018) was analyzed using the SPSS 26.0 and 26.0 AMOS program. Six paths proved to statistically significant. Self-esteem and depression were the influencing factors of adolescents' smartphone dependency. Social withdrawal and the school environment influenced smartphone dependency through self-esteem and depression as mediators. Self-esteem and depression acted as mediating factors. Adolescents' smartphone dependency was influenced not only by personal factors but also by external factors such as the school environment. The results of this study will be presented as evidence for developing programs that can prevent adolescents from smartphone dependency.

• Human Ecology Research
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• v.61 no.3
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• pp.459-474
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• 2023

This study aimed to examine the effect of parentification on the smartphone dependency of upper elementary school children in double-income families and to verify whether ambivalence over emotional expression and loneliness sequentially mediates the relationship between parentification and smartphone dependency. The participants were 311 upper-elementary school students (4th to 6th graders; 126 boys, 40.5%) in doubleincome households residing in Seoul, Gyeong-gi, and Incheon. The data were collected through an online self-report questionnaire completed by the participants and were analyzed using SPSS 26.0 and Mplus 8.7 software. The results can be summarized as follows. Firstly, the direct effect of parentification on the smartphone dependency of the children from double-income families was statistically insignificant. Secondly, ambivalence over emotional expression mediated the effect of parentification on smartphone dependency, while loneliness did not. Lastly, parentification influenced smartphone dependency through the sequential mediating channel of ambivalence over emotional expression and loneliness. In conclusion, these findings indicate that interventions for smartphone-overdependent children from double-income families should place emphasis on children's psychological difficulties attributed to parentification. Specifically, this study highlights the importance of alleviating the levels of ambivalence over emotional expression and loneliness to address the issue of children's smartphone dependency in double-income families, suggesting possible involvement and support at both household and societal levels.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.1017-1025
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• 2015

In mathematical statistics education, we can use mutual information as a tool for evaluating the degree of dependency between two random variables. The ordinary correlation coefficient provides information only on linear dependency, not on nonlinear relationship between two random variables if any. In this paper as a measure of the degree of dependency between random variables, we suggest the use of symmetric uncertainty and ${\lambda}$ which are defined in terms of mutual information. They can be also considered as generalized correlation coefficients for both linear and non-linear dependence of random variables.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.5
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• pp.343-356
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• 1991

An efficient real-time implementation of digital filtering algorithms using a multiprocessor system in a ring network is investigated. The development time and cost for implementing a high speed signal processing system can be considerably reduced because algorithm are implemented in software using commercially available digital signal processors. This method is based on a parallel block processing approach, where a continuously supplied input data is divided into blocks, and the blocks are processed concurrently by being assigned to each processor in the system. This approach not only requires a simple interconnection network but also reduces the number of communications among the processors very much. The data dependency of the blocks to be processed concurrently brings on dependency problems between the processors in the system. A systematic scheduling method has been developed by using a processors which can be used efficiently, the methods for solving dependency problems between the processors are investigated. Implementation procedures and results for FIR, recursive (IIR), and adaptive filtering algorithms are illustrated.

• Textile Coloration and Finishing
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• v.9 no.6
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• pp.51-57
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• 1997

The lightness, chroma and hue tolerances with respect to the standard colour position in the CIELAB space have been studied in detail using the various existing data sets and the set form this study. The lightness tolerance showed a clear dependency upon the metric lightness for medium to light colour, but in the case of dark colours there was a discrepancy between the data sets. Both the chroma and hue tolerances showed dependency upon both the chroma and hue-angle and not the single dependency upon the metric chroma, as assumed in the CIE94 formula. New weighting functions were derived from the above experimental evidence, and finally a new formula, LCD(Leeds Colour Difference) was proposed. The LCD formula is nearly as simple and flexible as CIE94 but smoothes the individual weighting functions, especially for lightness tolerances for light colours and chromaticity discrimination near the blue region.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.35-54
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• 2015

Smartphone is affecting not only our everyday life but also our business, directly causing diverse side-effects. But up until now, many researches that have been conducted on smartphone were focused on continuance intention for smartphone use and user satisfaction. Thus, the objective of this research is to investigate the effects that smartphone dependency has on digital dementia which is one of negative effects of smartphone. For the purpose, we have reviewed studies that are related to perceived characteristics of existing smartphones. As perceived characteristics variables, we have adopted perceived ease of use and perceived usefulness. And to present our research model, we have adopted smartphone dependency as psychological attitude variable and digital dementia as consequence variable. To implement an empirical analysis of our research model, we have conducted a survey with college student groups as research target who use smartphone most.