• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.453-459
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• 2023

This study analyzed the creative properties of public service advertisements and public content in outdoor advertising. The results of a case analysis focusing on outdoor advertisements for fundraising are as follows. First, government ministries were mainly found as advertisers. Second, most of the advertising messages were about policy promotion by the government and public institutions, with few public content or public interest messages. Third, in terms of expression, text took up more weight than visual elements, and illustrations were the main visual expression element. This proves that the public content of domestic outdoor advertisements mainly has a strong purpose of conveying direct information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3037-3054
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• 2019

Public bicycle system (PBS) is a new emerging and popular mode of public transportation. PBS data can be adopted to analyze human movement patterns. Previous work usually focused on specific scales, and the relationships between different levels of hierarchies are ignored. In this paper, we introduce a multi-scale and interactive visual analytics system to investigate human cycling movement and PBS usage condition. The system supports level-of-detail explorative analysis of spatio-temporal characteristics in PBS. Visual views are designed from global, regional and microcosmic scales. For the regional scale, a bicycle network is constructed to model PBS data, and an flow-based community detection algorithm is applied on the bicycle network to determine station clusters. In contrast to the previous used Louvain algorithm, our method avoids producing super-communities and generates better results. We provide two cases to demonstrate how our system can help analysts explore the overall cycling condition in the city and spatio-temporal aggregation of stations.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.53-68
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• 2015

This article aims to identify the quality factors of public data which have increased as a public issue; analyze the impact of users satisfaction in the perspective of Technology Acceptance Model (TAM), and investigate the effect of service satisfaction on the government's open policy of public data. This study is consistent with Total Data Quality Management (TDQM) of MIT, it focuses on three main qualities except Contextual Data Quality (CDQ) and includes seven independent variables : accuracy, reliability, fairness for Intrinsic Data Quality (IDQ), accessibility, security for Accessibility Data Quality (ADQ), Consistent representation and understandability for Representational Data Quality (RDQ). Basing on TAM, the research model was conducted to examine which factors affect to perceived usefulness, perceived ease of use, service satisfaction and how service satisfaction affects to the government's open policy of public data. The results showed that accuracy, fairness, understandability affect both perceived ease of use and perceived usefulness; while reliability, consistent representation, security, and accessibility affect only perceived ease of use. This article found that the influence of perceived ease of use on perceived usefulness and the influence of these two causes on service satisfaction in the perspective of TAM were significant and it was consistent with prior studies. The service satisfaction when using public data leads to the reliability of public data open policy. As an initial study on unstructured public data open policy, this article offered quality factors that pubic data providers should consider and also present the operation plan of public data open policy in the future.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.257-266
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• 2021

This article examines the features of improving the public management of the market of medical and social services using information technology to improve the efficiency of public activity in modern conditions. The interpretation of the essence of the categories "information technologies" and "information support" is analyzed. The importance of the organization of information support of public authorities in the insurance of the state apparatus of information management for the adoption and solution of state issues of the market of medical and social services has been studied. Issues and system of information support of public management of the market of medical and social services are considered. The stages of the ICT implementation process in the market of medical and social services are described. The tools of state regulation in the market of medical and social services and the introduction of targeted programs for the development of the social sphere and health care are highlighted. Recommendations for improvement are formulated public management of the market of medical services and social way introduction of ICT tools, which provide for the implementation of a set of measures aimed at intellectualizing the entire system public data management spheres. The necessity of development of innovative tools of public management of the market of medical and social services of Ukraine for the purpose of working out of strategies of increase of quality of medical and social services in the XXI century is substantiated. A number of benefits from the implementation of an effective process of application of information support of public management of the market of medical and social services to ensure the efficiency of public authorities of Ukraine. It is proposed to create a "Department of information support of self-government" and electronic health care system (e-Health) to improve the management decision-making process, which will provide an opportunity to accumulate, process, analyze, and as a result, get the expected effect in the form of balanced management decisions by public authorities of Ukraine.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.359-370
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• 2018

Objectives: We assessed the public acceptance of a health information exchange (HIE) and examined factors that influenced the acceptance and associations among constructs of the Technology Acceptance Model (TAM). Methods: We collected data from a survey of 1,000 individuals in Korea, which was administered through a structured questionnaire. We assessed the validity and reliability of the survey instrument with exploratory factor analysis and Cronbach's alpha coefficients. We computed descriptive statistics to assess the acceptance and performed regression analyses with a structural equation model to estimate the magnitude and significance of influences among constructs of TAM. Results: Eighty-seven percent of the respondents were willing to use the technology, and the average level of agreement with the need for the technology was 4.16 on a 5-point Likert scale. The perception of ease of use of the technology significantly influenced perceptions of usefulness and attitudes about the need for HIE. Perceptions of usefulness influenced attitude and behavioral intention to use HIE, and attitude influenced intention. Age showed a wide range of influences throughout the model, and experience with offline-based information exchange and health status also showed noteworthy influences. Conclusions: The public acceptance of HIE was high, and influences posited by TAM were mostly confirmed by the study results. The study findings indicated a need for an education and communication strategy tailored by population age, health status, and prior experience with offline-based exchange to gain public buy-in for a successful introduction of the technology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.49-55
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• 2015

Nanotechnology has been growing constantly and it is becoming the leading technology in scientific research and development. Although nanotechnology has important applications in broad variety of fields without boundary of any particular industrial area, the study of nanotechnology related to its commercialization has been conducted in a few ways. To put that figure in context, this study investigates public and expert perceptions about negative potentials of nanotechnology. Through a series of surveys with public (N = 541) and experts (N = 62), we analyzed about public willingness to pay for nano-applied products. Survey results showed that public and experts preferred nano-applied products in the order of electronics, cosmetics, and food and medicine. Experts express high payment intention to electronics rather than public intention. In addition, the survey results showed the purchasing intention of both public and expert group was affected by the attributes of nano-applied products in the order of risk fatality, risk chance, certification, and labeling. But experts put more importance in risk fatality than risk chance comparing to public. Through the case analysis of the effects of labeling and certification, we revealed either labeling or certification can induce both public and experts to buy the nano-applied products with high risk chance and low risk fatality. However, for the nano-applied product with high risk fatality and low risk chance, both labeling and certification are simultaneously required to make customers have positive purchasing intention. The result of this study could be utilized for the nanotechnology-based company to get the consumer behavior information about nano-based product and to establish their marketing strategy.

• Journal of the Ergonomics Society of Korea
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• v.28 no.3
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• pp.73-79
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• 2009

Driving is a complex psychomotor task often interrupted by secondary activities that increase cognitive workload and divert attention away from the roadway. The risk of inattentive driving is known to vary with age. To assess the characteristics of advancing age on driver's cognitive workload under dual task condition, we evaluate the performance of 96 drivers divided into three age groups: 20's, 40's, and 60's. This study considers driver's cognitive workload in the context of urban and highway driving. Error rate & Dual task cost are used to measure driver's cognitive workload. Results indicate that age impacts cognitive workload during dual task driving conditions.

• Journal of Contemporary Eastern Asia
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• v.15 no.1
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• pp.27-40
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• 2016

This study uses a network approach to investigate the structural characteristics of sub-organizations within public research institutes in order to obtain their implications for organizational structures. We construct a network based on research similarities between sub-organizations because sub-organizations generally build their own research portfolios. We examine how sub-units are organized based on their structural features. The structural features are compared between three public research institutes in different countries: the Korean the Government-funded Research Institutes (GRIs), the Max-Planck-Gesellschaft in Germany, and the National Laboratories (NLs) in the United States. The structural comparison helps to identify organizational characteristics and to differentiate between them. We found little common ground in the research areas between the GRIs because individual sub-organizations have distinct research portfolios. Therefore, the organizational hierarchy of research in the GRIs is less matured than it is in other public research institutes. This study suggests that the GRIs need to establish integrated strategies in order to strengthen the common knowledge base.

• Genomics & Informatics
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• v.7 no.1
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• pp.49-51
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• 2009

Although abundant biology data have been accumulated in public biology databases, such as GenBank and PIR, few easy-interface services are provided for users to access or update them. We have developed a system, named BioStore, that is composed of several programs to aid users to not only access public data but also share their own data easily. The service can be used for maintaining a local database as a repository of raw data files of several public databases and distributing the data files to other users. Currently, BioStore manipulates major bio-databases and will expand to include more databases and more useful interfaces.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.56-66
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• 2020

As the development of artificial intelligence (AI) technology spreads to various industrial sectors, diversity in AI utilization rapidly increases, creating rich user experience. In addition, AI is required to solve various social problems through the use of public data. The spread of AI utilization across all sectors will continue, covering such industrial and public demands. This article examines the domestic and international trends in AI utilization technologies and establishes the direction of research and development (R&D), which is highly consistent with Korea's AI policy. ETRI, which leads AI's national R&D, has used its experience to establish AI R&D implementation strategies as well as technology roadmaps for the utilization of AI to improve individual quality of life, continuous growth in society, industrial innovation, and the solutions to public societal problems. In addition, it has derived tasks and implementation strategies for developing AI utilization technologies in 10 major areas including medical services.