• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.172-181
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• 2011

Recently, Urban has been innovated through u-City and Smart City. Urban facility management system is developing using the latest IT technology for real-time monitoring and prevention. In this paper, we propose an UOID(Unique Object IDentification), a standard location-based ID system for urban facility object and develop the UOID service system based on network for innovation of urban facility management system. The system has been tested through Test-bed for connectivity and stability. We wish that the proposed UOID and network service system manages u-City facilities effectively and also provides various ubiquitous services to the citizen, one of the integrate service of u-City platform.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.171-184
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• 2015

Looking at the existing game-related research, innumerable researches such as game acceptance, user satisfaction, continuance intention, wold-of-mouse intention have been carried out. However, there was no cases that applying the concept of service recovery in game researches. The purpose of this study is to evaluate the impact on the characteristic of the mobile social network game that based on domestic mobile social network game platform which focusing on KakaoTalk games on the service recovery. In addition, the study analyzed the characteristic factors of mobile social network game on the basis of Organizational Equity Theory and Innovation Diffusion Theory to identified the causal relationship between those factors and service recovery. As a result, except the independent variable-compatibility, all of the characteristics factors of mobile social network game showed direct or indirect effects on service recovery. The results of this study are expected as a reference for presenting a new business model, reducing risk factors and enriching the related research of the gaming industry.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.187-195
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• 2020

The purpose of study is to find ways to improve online research work in the near future environment. Study methods and results are as follows. First, the basis of research was secured through theoretical consideration. Second, three types were derived by collecting examples. There are reward, execution and visualization. Third, comprehensive matrix and directions were derived through case analysis. According to the study, the most frequently used phase of AI technology were analysis, visualization, execution, casting, design, and matching, The direction of use of AI can be largely divided into work efficiency, human thought assistance, and changes in research methods. But the plan phase is generally scarce. Overall, the lack of in function is provided, including AI technology. At a time when research plans are becoming more important as users and products diversify.

• Korean Medical Education Review
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• v.18 no.2
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• pp.51-57
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• 2016

This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.483-503
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• 2021

Purpose: The purpose of this study is to investigate the service quality factors in terms of customer trust, satisfaction and loyalty of the Korean telecommunication companies(SKT, KT, LG U+). Specifically, this study presents new business strategies of the each company, thereby pursuing the innovation for mature stage. Methods: To analyze the telecommunication service quality factors that contribute to customer trust, satisfaction and loyalty, this study conducted a survey targeting customers of each company. Using the data collected, the research model was built, and empirical analysis was performed through statistical processing to verify the model. Furthermore, the clarification of each hypothesis were held including the comparison analysis of each company data. Results: The results of this study are as follows; (1) When it comes to total dataset, all quality factors including trust, satisfaction and loyalty showed significant relationship, accepting every hypothesis. (2) However, for SKT and LG U+, empathy showed no significant impact on trust while the others showed significant effect. (3) Finally for KT, all service quality factors such as responsiveness, empathy, security, and customer enablement had a significant effect on trust. Conclusion: As the development of platform industry are intensified, telecommunication companies are required to manage service quality factors thoroughly, especially focusing on customer privacy and security.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.163-169
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• 2019

Korea has the potential to lead the era of the Fourth Industrial Revolution, which succeeded in the information and communication revolution, including the establishment of an e-government. The Go match between humans and computers has led to the realization that humans are starting to live in a new era that they have never experienced before. In 2018, the Federation of Science and Technology Organizations conducted a recognition survey on "what is the most urgent thing?" in the era of the Fourth Industrial Revolution. As a result, it has been shown that the readjustment of the laws of science and technology is most urgent, so it is necessary to analyze the laws of science and technology. According to the research, more than 400 laws are diagnosed, and laws that serve as basic laws cannot lead the Fourth Industrial Revolution. The Framework Act on Science and Technology provides an emphasis on the promotion and management of R&D projects. When analyzing the regulations on 'Development of Science and Technology Innovation System', 'Basic Plan of Science and Technology', and 'Comprehensive Plan for Promotion of Local Science and Technology', there is no suggestion of the Fourth Industrial Revolution. After all, a comprehensive analysis of the current Framework Act on Science and Technology indicates that it is in effect the R&D and Management Act. The "Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee" poses the problem of defining parliamentary legislation as administrative legislation. 'In addition, if we analyze the Smart City Act, the lack of logical links with the Framework Act on Science and Technology and the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee is a major problem. In conclusion, in order to platform the Fourth Industrial Revolution, two improvements can be put forward. First, the Framework Act on Science and Technology shall be abolished to enact the National Research and Development Administration Act, and secondly, the Framework Act on the Fourth Industrial Revolution shall be enacted to absorb the contents of the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee.

• Mass Spectrometry Letters
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• v.12 no.3
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• pp.66-75
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• 2021

Interleukin-4 (IL-4) and IL-13 are cytokines secreted by immune cells. Cytokines induce the proliferation of macrophages or promote the differentiation of secretory cells. The initiation and progression of allergic inflammatory diseases, such as asthma, are dependent on cytokines acting through related receptor complexes. IL-4 and IL-13 are N-glycoproteins. Glycan structures in glycoproteins play important roles in protein folding, protein stability, enzymatic function, inflammation, and cancer development. Therefore, the glycan structure of IL-4 and IL-13 needs to be elucidated in detail for the development of effective therapies. We report the first attempt to characterize the site-specific N-glycosylation of recombinant IL-4 and IL-13 via liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The tandem mass spectra of intact N-glycopeptides were identified using the Integrated GlycoProteome Analyzer (I-GPA) platform, which can automatically and rapidly analyze multiple N-glycopeptides, including their glycan composition and amino acid sequences. The recombinant IL-4 and IL-13 were identified with amino acid sequence coverages of 84% and 96%, respectively. For IL-4, 52 glycoforms on one N-glycosylation site were identified and quantified. In IL-13, 232 N-glycopeptides from three N-glycosylation sites were characterized, with the site Asn52 being the most extensively glycosylated (~80%). The complex glycans were the most abundant glycan on IL-4 and IL-13 (~96% and 91%, respectively), and the biantennary glycans were the most abundant in both recombinant IL-4 and IL-13 proteins.

• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• Journal of Platform Technology
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• v.8 no.1
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• pp.10-15
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• 2020

Recently, various industrial sectors have introduced cloud service actively in their business because cloud computing technology enables storage·management and analysis·utilization of data easily in anytime, anywhere. Especially in financial sector, the business provocatively adopted the service and creates various innovative cases; furthermore, already in abroad, the sector has been accelerating digitization of analysis in cases of credit risk, financial fraud data, stock trading etc. On the contrary, in the domestic financial industry, not only the cloud service introduction and innovation cases are underperformed, but most of them are focused on the back-office service. Most Korean financial corporations are burdened with the adoption of cloud service due to various conservative regulatory requirements, such as regulations on data storage and management, regulations on privacy, and other tasks such as developing decision models and establishing responsibility standard for security incidents and service failures. In this study, it would be aimed to contribute to promote the introduction of the cloud in the domestic financial sector by drawing up preemptive challenges and inspecting priorities.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.133-145
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• 2022

As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.