• Journal of Digital Convergence
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• v.13 no.5
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• pp.139-150
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• 2015

Social Network Service is one of platforms rapidly growing in the environment of digital convergence. Most of researches regarding social network service(SNS) done up to the present time are concerning about technic and effectiveness characteristics of SNS. However, this study focuses on the roll of self-disclosure in the use of social network services(SNS). From the perspectives of personal and social motivation rather than the effectiveness and technic characteristics of SNS. the relations among self-disclosure, enjoyment, social ties and intention to use have been tested empirically. The results from this study shows that self-disclosure has not directly effects on the intention to use of SNS, but indirectly effects on it through personal enjoyment and desire to have social ties.

• Proceedings of the Korean Society For Composite Materials Conference
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• 1999.11a
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• pp.194-197
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• 1999

고분자 복합재료는 금속에 비하여 경량, 고강도, 고탄성율 등의 장점을 가지고 있어 여러 산업에서 기존의 금속 재료를 대체할 수 있는 재료로서 그 사용이 점차 증가하고 있다[1-5]. 특히 사회적으로 환경 문제가 대두되면서 열가소성 복합재료에 대한 관심이 높아지고 있으며 이에 대한 연구가 더욱 요구되고 있다. (중략)

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.403-421
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• 2023

As the number of underground structures has increased in recent decades, it has become crucial to predict geological hazards ahead of a tunnel face during tunnel construction. Consequently, this study developed a finite element (FE) numerical model to simulate electrical resistivity surveys in tunnel boring machine (TBM) operations for predicting mixed ground conditions in front of tunnel faces. The accuracy of the developed model was verified by comparing the numerical results not only with an analytical solution but also with experimental results. Using the developed model, a series of parametric studies were carried out to estimate the effect of geological conditions and sensor geometric configurations on electrical resistivity measurements. The results of these studies showed that both the interface slope and the difference in electrical resistivity between two different ground formations affect the patterns and variations in electrical resistivity observed during TBM excavation. Furthermore, it was revealed that selecting appropriate sensor spacing and optimizing the location of the electrode array were essential for enhancing the efficiency and accuracy of predictions related to mixed ground conditions. In conclusion, the developed model can serve as a powerful and reliable tool for predicting mixed ground conditions during TBM tunneling.

• 정보화사회
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• s.127
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• pp.32-36
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• 1999

인터넷은 통신망의 발전단계에서 고도로 복합화된 통신서비스를 제공해주는 단계에 있는 통신망이라 볼 수 있으며 인터넷은 월드와이드웹의 사용으로 더욱 용이하게 음성이나 데이터 및 영상정보의 복합적인 정보의 구현장이 되어 가고 있다.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.34-41
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• 2017

In this paper, the I/O parameters of existing predictive models were analyzed to construct a composite disaster prediction model that incorporates a previously developed natural disaster prediction model and a prediction of social disaster prediction models. A complex disaster prediction model indicates a combination of multiple disasters, not a single disaster. Such a complex disaster was mainly linked to a social disaster caused by natural disasters resulting from natural disasters, so it conducted a study of natural disasters and social disaster prediction models. Several estimates were analyzed based on several predictive models of prediction models, and the I/O parameters applied universally were derived by the types of disaster types. In this paper, It will help develop a study aimed at building a complex disaster prediction model.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.75-82
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• 2019

Many people suffers from multiple chronic diseases, leading cause of death and disability in the world. The purpose of this study was to investigate factors affecting multiple chronic diseases, hypertension, and diabetes. We analyzed the data of one metropolitan city of community health survey, 2015. 4,590 citizens were enrolled in this study. Prevalence of multiple chronic diseases, hypertension, and diabetes were 5.14%, 16.8%, and 3.89%, respectively. Educational attainment, income, salt intake, and BMI were identified as independent risk factors associated with multiple chronic diseases. Educational attainment, income, salt intake were significantly associated with hypertension and age, educational attainment, frequency of alcohol drinking, salt intake were associated with diabetes. Multiple chronic diseases, hypertension, and diabetes were associated with sociodemographic, economic, and health behavioral factors. We should consider these variables in the prevention and management programs and policies for patients with multiple chronic diseases.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.403-412
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• 2017

The study were to identify the effect of ego-resilience, nursing professionalism, social support on department satisfaction in nursing students. Data were collected from April to May 2017 from 272 nursing students. The study tools were ego-resilience, nursing professionalism, social support, department satisfaction. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression using SPSS/WIN 21.0 program. The result showed that the difference in department satisfaction relating to general characteristics were significant for reason for choosing a department, student activity, academic record. The correlation among ego-resilience, nursing professionalism, social support, department satisfaction were significant, and the significant factors influencing department satisfaction in nursing students were social support, nursing professionalism, ego-resilience. It is necessary to find ways to improve the department satisfaction through the activities that can enhance the social support, nursing professionalism, and ego-resilience of nursing students. This will help them adjust to college life.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.273-279
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• 2020

This study aimed to examine the mediating effects of social withdrawal between adolescents' mobile phone dependence and the sense of community, and to secure the evidence data for adolescents' mobile phone dependence intervention. Among the 7th year data for the 4th grade students in the Korean Children & Youth Panel Survey(KCYPS), 1,979 students were included. The results showed that mobile phone dependence had a significant effect on the decrease in the sense of community and influenced the sense of community through social withdrawal. These results imply that positive intervention to reduce social withdrawal is needed and it can improve the sense of community in youth. Also, when we deal with weakening in the sense of community, we should consider convergent intervention in psychological and social aspects which deal with dependency, social withdrawal, and the sense of community.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.249-257
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• 2019

The purpose of the study was to investigate the effect of self-efficacy and social support on self-leadership in nursing students. A self-reported questionnaire was completed by 237 nursing students from September to October 2017, and the study instruments comprised self-efficacy, social support, and self-leadership. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression using SPSS/WIN 21.0 program. The result showed that the difference in self-leadership relating to general characteristics were significant leader experience, friendship, and school club activities. The correlation among self-efficacy, social support, and self-leadership were significant, and the significant factors influencing self-leadership in nursing students were self-efficacy and social support. In order to increase self-leadership of nursing students, it is necessary to develop and apply a program that enhances self-efficacy and social support. This will help them grow into a competent nurse.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.301-307
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• 2018

We study convergent influence on depression and its association with self-esteem, fatigue and psychosocial stress among General Hospital Administrative Staff(GHAS). The subjects were 201 randomly extracted GHAS from 9 general hospitals in J City, Data collection was carried out via a structured self-administered questionaries from Jul. 3rd, 2017 to Jul. 29th, 2017. Depression was positively correlated with three sub-domains of fatigue and psychosocial stress, and it was negatively correlated with self-esteem. With the analysis of covariance structure, depression was more influential on self-esteem than fatigue and psychosocial stress. The study found the higher fatigue and psychosocial stress, and the lower self-esteem tend to increase depression. The results indicate that the efforts, to increase self-esteem, and to decrease fatigue and psychosocial stress, are required to decrease the depression of GHAS. The results are expected to be useful for industrial health education and job management to decrease the depression of GHAS. In the following study, the analysis about convergent additional factors of influence on the depression of GHAS will be needed.