• Journal of Digital Convergence
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• v.12 no.8
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• pp.29-34
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• 2014

This study aimed to clarify the relationship which exists between democracy and economic development within Sub-Saharan Africa. It strived to bring out a comprehensive analysis of the reasons why the pace of democratization is slow within this region and why until present date, there are just patches of real democracies there. The work also focuses on the reasons why despite democratic movements, economic growth rates have remained lagging behind average until of recent that, and some few countries have emerged to join the list of fastest growing economies in the world. The study further highlights the unique path of Sub-Saharan Africa democratization process should follow since it does not possess the various factors that favored the democratization processes of most developed countries. In order to obtain the objectives, previous studies and statistical data published by official institutes were analysed by using contents analysis methods. Lastly, it proceeds to explain the important role that democracy plays in inclusive economic growth.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.93-105
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• 2013

Much Interest has focused on social network services such as Facebook and Twitter. Previous research conducted on social network often emphasized the architecture of the social network that is the existence of path between any objects on network and the centrality of the object in the network. However, studies on the semantic association in the network are rare. Studies on searching semantic associations between entities are necessary for future business enhancements. In this research, the ontology based social network analysis is performed. A new method to search and rank relation sequences that consist of several relations between entities is proposed. In addition, several heuristics to measure the strength of the relation sequences are proposed. To evaluate the proposed method, an experiment was performed. A group of social relationships among the university and organizations are constructed. Some social connections are searched using the proposed ranking method. The proposed method is expected to be used to search the association among entities in ontology based knowledge base.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.673-683
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• 2013

Purpose : This study aimed to examine the causal relationships among knowledge, stigma prejudice, attitude, social interaction which are factors affecting the Nursing Intention for AIDS patients. Method : Data were collected from June 20 to August 10, 2012, 268 nurses in general hospital located in and outside of Seoul, who were selected using convenience sampling. For hypothesis testing, the collected data were analyzed using AMOS 19. Results : Analysis of the path coefficients in this study showed that 41% of the variation in Nursing Intention could be explained by variation in the model. Social Interaction and Attitude directly affected the Nursing Intention. Social Interaction was found to be the most important predictive factor to explain Nursing Intention. Conclusion : This study found that there are need to increase possibility of social interaction and make positive changes in attitude toward AIDS patient care in order to improve Nursing Intention.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.483-493
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• 2015

Industrialization and urbanization have caused health inequality between rural areas and cities. Health care in rural area is insufficient comparing to urban areas. This study examined the effects of social capital, Health Information, and medical communication factors on Health status in rural community using structural equation modeling. First, social capital has an effect on medical communication with physicians and medical communication impacts on health status. Second, health information orientation has an impact on health behavior and Internet health information. Lastly, health information orientation influenced by Internet health information as a mediator affects health status. As a whole, this study contributes to theoretical explanation about determinants of health status in communities by examining structural path of the effects of social factors and communication factors on health status in rural area.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.7-17
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• 2012

This paper identifies the determinants of adoption and diffusion of e-government services, and examines the causal relationship among the variables of adoption behavior. The main findings, based upon survey responses from service users, are as follows: first, both the value of service and the socially influencing factor have the positive effect to the intention of utilizing services. Second, the socially influencing factor has the indirect effect to the intention of utilizing services, because it positively affects the value of service. The interaction factors, however, do not directly affect the intention of utilizing services. These interaction factors indirectly affect the intention of utilizing services through the path which increases the value of service, and its effect is larger than the socially influencing factor.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.555-561
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• 2014

Artificial intelligence in the game is mainly used to determine patterns of behavior of NPC (Non Player Character) and the enemy, path finding. These artificial intelligence is implemented by FSM (Finite State Machine) or Flocking method. The number of NPC behavior in FSM method is limited by the number of FSM states. If the number of states is too small, then NPC player can know the behavior patterns easily. On the other hand, too many implementation cases make it complicated. The NPC behaviors in Flocking method are determined by the leader's decision. Therefore, players can know easily direction of movement patterns or attack pattern of NPCs. To overcome these problem, this paper proposes agonistic behaviors(attacks, threats, showing courtesy, avoidance, submission)in animals to apply for the NPC, and implements agonistic behaviors using Unity3D engine. This paper can help developing a real sense of the NPC artificial intelligence.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.115-122
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• 2018

The purpose of this study is to investigate the effect of technology acceptance model (TAM) on behavioral intention in order to grasp the degree of technology acceptance on autonomous driving among the various factors that consumers perceive as unmanned vehicle system becomes commercialized. In addition to the mediating effect of perceived usefulness proposed by the existing TAM, this study proposed the perceived trust (PT) and hypothesized its mediating effect on behavioral intention to use the self-driving. Path anlaysis is adopted to investigate our hypothesis using the structural equation model. The sample used for the analysis was 149 valid data among 160 responses. The effects of total effect, direct effect, and indirect effect were confirmed by hypothesis test on mediating effect. Non-parametric bootstrapping analysis was also performed to confirm the robustness. All the hypotheses were significant and we found a partial indirect effect, which implies that mediation effect of PT on behavioral intention.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.477-487
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• 2018

The purpose of this study is to examine the effect of peer attachment on life satisfaction of adolescents and to verify the mediating effects of career identity and smart-phone dependency in the process. For this purpose, the data from the sixth year Korean Child and Youth Panel Survey(2015) on 1,823 middle school students were analyzed by hierarchical regression analysis and path analysis among variables. The results of the analysis are as follows. First, peer attachment of adolescents had a significantly positive effect on their life satisfaction. Second, adolescents' career identity had a partial mediating effect on the relationship between peer attachment and life satisfaction. Third, the effect of peer attachment on life satisfaction of adolescents was partly mediated by their smart-phone dependency. On the basis of above findings, the practical programs to enhance career-identity and life satisfaction and reduce smart-phone dependency were presented.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.41-48
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• 2020

The purpose of this study is testing measurement invariance of the school vitality scale across the level of school. For this study, 3,156 elementary school teachers and 4,411 secondary school teachers were surveyed. As a result, school vitality scale was found to have the same factor structure in the structure regression model. Second, the factor load of the measurement model was found to be the same. Third, the structural path coefficients were the same. Fourth, structural covariance was found to be the same. Fifth, the structural residuals were the same. Based on these findings, it can be concluded that we can use school vitality scale both elementary school and secondary school. This study will contribute to diagnosing school vitality levels and finding ways to improve school management.

• Journal of KIISE
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• v.44 no.9
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• pp.976-985
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• 2017

Wireless mesh network (WMN) is a promising technology for building a cost-effective and easily-deployed wireless networking infrastructure. To efficiently utilize limited radio resources in WMNs, packet transmissions (particularly, redundant packet transmissions) should be carefully managed. We therefore propose a lightweight traffic redundancy elimination (LTRE) scheme to reduce redundant packet transmissions in software-defined wireless mesh networks (SD-WMNs). In LTRE, the controller determines the optimal path of each packet to maximize the amount of traffic reduction. In addition, LTRE employs three novel techniques: 1) machine learning (ML)-based information request, 2) ID-based source routing, and 3) popularity-aware cache update. Simulation results show that LTRE can significantly reduce the traffic overhead by 18.34% to 48.89%.