• Convergence Security Journal
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• 제22권1호
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• pp.129-134
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• 2022

A smart platform is defined as an evolved platform that realizes physical and virtual space into a hyper-connected environment by combining the existing platform and advanced IT technology. The hyper-connection that is the connection between information and information, infrastructure and infrastructure, infrastructure and information, or space and service, enables the realization and provision of high-quality services that significantly change the quality of life and environment of users. In addition, it is providing everyone with the effect of significantly improving the social safety net and personal health management level by implementing smart government and smart healthcare. A lot of information produced and consumed in these processes can act as a factor threatening the basic rights of the public and individuals by the informations themselves or through big data analysis. In particular, as the smart platform as a core function that forms the ecosystem of a smart city is naturally and continuously expanded, it faces a huge security burden in data processing and network operation. In this paper, platform components as core functions of smart city and appropriate security threats and countermeasures are studied.

• Journal of the Korean Society for Library and Information Science
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• 제57권2호
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• pp.97-122
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• 2023

Metaliteracy is a new framework that reframes information literacy. Metaliteracy is distinguished from information literacy through the intruduction of postmodernism, social constructivism and metacognition. However it has been not examined whether metaliteracy studies reflect the conceptual differences. Therefore, The purpose of the study is to observe research trends of metaliteracy on the difference from information literacy. In the study, literature reviews were conducted, and frequency analysis and knowledge network analysis(co-occurrence and bibliographic coupling) were conducted for 80 metaliteracy studies. The results of the study are as follows. As a result of co-occurrence analysis, metacognition(frequency 1st) and skills(degree centrality 1st, closeness centrality 1st, betweenness centrality 1st) appeared. Since metaliteracy criticizes skill-based information literacy, the result suggests that the concepts of information literacy and metaliteracy are mixed. On the other hand, as a result of bibliographic coupling analysis, studies with high bibliographic coupling explain the difference between information literacy and metaliteracy through metacognition.

• The Journal of the Korea Contents Association
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• 제22권5호
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• pp.81-96
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• 2022

Covid-19 calls for minimizing gatherings of people in spaces such as offices. Organizations are encouraging information-sharing activities among employees by using online platform technology. Recently, Organizations are supporting their work using the metaverse. This study confirms the effect of metaverse presence on the intention to share knowledge by forming the intrinsic motivation of the employees and the moderating effect of the individual's digital technological competence. We presented research hypotheses through previous studies such as virtual reality and tested the hypotheses using 309 samples obtained through surveys. As a result, the social, tele, and self presence of the metaverse increased organizational-related intrinsic motivation(organizational identification, value congruence) and had a positive effect on the intention to share knowledge. In addition, digital technological competence moderated the relationship between value congruence and intention to share knowledge. This study suggests the importance of strategies to enhance the presence of metaverse for organizations to increase work productivity by using metaverse and the need to support individual digital competence reinforcement.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제30권4B호
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• pp.399-412
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• 2010

The goal of this research is to apply the neural networks models for the temporal disaggregation of the yearly pan evaporation (PE) data, Republic of Korea. The neural networks models consist of multilayer perceptron neural networks model (MLP-NNM) and generalized regression neural networks model (GRNNM), respectively. And, for the performances evaluation of the neural networks models, they are composed of training and test performances, respectively. The three types of data such as the historic, the generated, and the mixed data are used for the training performance. The only historic data, however, is used for the testing performance. From this research, we evaluate the application of MLP-NNM and GRNNM for the temporal disaggregation of nonlinear time series data. We should, furthermore, construct the credible monthly PE data from the temporal disaggregation of the yearly PE data, and can suggest the available data for the evaluation of irrigation and drainage networks system.

• Korean Journal of School Psychology
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• 제8권3호
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• pp.379-403
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• 2011

This study examined coping strategies and perceived changes of the Chinese international students in South Korea. A total of 56 Chinese students participated and data was analyzed using the concept mapping method. The results showed that Chinese international students adopted developing language proficiency and using social networks as important coping strategies. They also perceived a wide range of changes including changes in the cultural and personal self. However, the perception of these coping strategies and changes differed by the length of stay. Chinese international students who stayed longer reported using specific coping strategies for mood regulation, which was distinctive from the coping strategies used by students who stayed for a shorter period of time. Students who stayed longer perceived negative changes as well as positive changes, while students who stayed for a shorter period reported predominantly positive changes. The findings indicate that university staff needs to understand and sensitively respond to the distinctive experiences of Chinese international students which vary across time.

• Journal of Korea Entertainment Industry Association
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• 제5권2호
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• pp.77-86
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• 2011

This paper is aimed at analyzing the relationship between users' actions in relation to a SNG (Social Network Game), which mainly targets communities, and the motivations that give rise to such selective actions. The subjects of existing researches on game area have rarely dealt with game users but mainly focused on the studies and utilization of game production technologies; and, in cases of studies on games users, their subjects have been hardly more than observations of users' behaviors in relation to the performance to achieve certain goals or themes of a game; for example, upgrading a character's level or obtaining rewards through "defeat". Therefore, it is necessary to analyze the actions of SNS game users from the perspective of behavioral selections caused by various motivations of human beings rather than approaching from the perspective of problem solving methods. In order to accomplish this goal, fist of all, Lazzaro's People Fun model and motivation theory of SNS users will be analyzed. Secondly, relevant materials from 13 SNG cases will be collected. Games' events and the functional actions of users will be classified. Lastly, the primary actions of SNG users will be classified into 8 different types and motivations - action patterns will be analyzed based on the classified materials.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.87-89
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• 2022

Recently, as more consumers spend more time at home due to COVID-19, the time spent on digital consumption such as SNS and OTT, which can be easily used non-face-to-face, naturally increased. Since 2019, when COVID-19 occurred, digital consumption has doubled from 44% to 82%, and it is important to quickly and accurately grasp and apply trends by analyzing consumers' emotions due to the rapidly changing digital characteristics. However, there are limitations in actually implementing services using emotional analysis in small systems rather than large-scale systems, and there are not many cases where they are actually serviced. However, if even a small system can easily analyze consumer trends, it will help the rapidly changing modern society. In this paper, we propose a lightweight trend analysis system that builds a learning network through Transfer Learning (Fine Tuning) of the BERT Model and interlocks Crawler for real-time data collection.

• Industry Promotion Research
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• 제8권4호
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• pp.241-250
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• 2023

In investigating missing persons cases, the focus is on strengthening the efficiency of detectives' work in investigating missing persons cases. Disappearance cases are seen as a problem that directly affects social safety and individual well-being. The research has the following structure. The introduction presents the necessity, scope, and methodology of the study. Next, we analyze the definition, causes, types and actual conditions of disappearance cases. In terms of problems in the process of handling missing persons cases, the initial response process, problems in the response of related agencies after reporting, problems due to the prolongation of the case, and problems due to legal restrictions are analyzed. In the plan to improve the work efficiency of detectives for disappearance cases, the revitalization of public interest investigation networks, strengthening of capacity related to disappearance case investigation, professional public interest detective certification system, and establishment of exception provisions for detective activities are discussed. In the conclusion, we present what is necessary for the activities of public interest detectives specializing in missing persons cases.

• Journal of agricultural medicine and community health
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• 제49권2호
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• pp.121-131
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• 2024

Objective: This study is to design an intervention model for local residents to manage their oral health on their own. By establishing an autonomous participatory network without the intervention of external experts, it is possible to actively practice toothbrushing and use preventive services. Method: This is a case report study, and oral health education was conducted after interviews with 8 members of the Health Plus Village Committee in the N region of Hongcheon-gun and 156 residents of the senior center. Result: To foster oral health guardians in the community and to change behavior by actively sharing information and communicating with residents. It was confirmed that the Health Plus Village Committee was influential in spreading information, means, and interest about toothbrushing practices and preventive dental services to neighbors. Conclusion: In order to implement continuous resident-led oral health projects, resident-led village projects led by the Health Plus Village Committee should be activated through repeated empowerment education.

• Journal of the Korean Society for information Management
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• 제41권2호
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• pp.269-294
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• 2024

This study analyzed the news media coverage of QRcodes in Korea over a 16-year period (2008 to 2023). A total of 13,335 articles were extracted from the Korea Press Foundation's BigKinds. A quantitative and content analysis was conducted on the news frames. The results indicated that the quantity of news coverage has increased. The greatest quantity of news coverage was observed in 2020, and the most frequently discussed topic in the news was 'IT_Science'. The results of the keyword analysis indicated that the primary words were 'QRcode', 'smartphone', 'service', 'application', and 'payment'. The news media primarily focused on the QRcode's ability to provide instant access and recognition technology. This study demonstrates that advanced information and communication technologies and the increased prevalence of mobile devices have led to a rise in the utilization of QRcodes. Furthermore, QRcodes have become a significant information media in contemporary society.