• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.59-71
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• 2018

Social media has immense popularity among all services today. Data from social network services (SNSs) can be used for various objectives, such as text prediction or sentiment analysis. There is a great deal of Korean and English data on social media that can be used for sentiment analysis, but handling such huge amounts of unstructured data presents a difficult task. Machine learning is needed to handle such huge amounts of data. This research focuses on predicting Korean and English sentiment using deep forward neural network with a deep learning architecture and compares it with other methods, such as LDA MLP and GENSIM, using logistic regression. The research findings indicate an approximately 75% accuracy rate when predicting sentiments using DNN, with a latent Dirichelet allocation (LDA) prediction accuracy rate of approximately 81%, with the corpus being approximately 64% accurate between English and Korean.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.109-124
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• 2013

Recently domestic companies have struggled to deal with different kinds of crisis accrued from various sources. However, their perception on the crisis and crisis management system are extremely vulnerable. In particular, although almost all companies have had many business related crisis, they have tended to ignore the crisis with simply considering it as unlucky and not to approach it provocatively in preparing some preventive measures and turning it into an opportunity due to the lack of recognizing the importance of risk management. In other words, domestic companies have not systematically prepared detailed plans for potential crisis, rather have tended to recognize the importance of having crisis management system after experiencing a detrimental crisis or accident. Furthermore research on the issue has conducted sparsely in the academic world. The purpose of this study was to investigate the differences among types of businesses in terms of the degree of crisis experienced previously, the perception on the importance of crisis management system, the level of crisis management implementation, and the areas of crisis management being focused in the future. Usable data was collected from 201 companies using an on-site survey. Data was analyzed with SPSS 21.0 using some descriptive statistics and a series of ANOVA (One-way Analysis of Variance). Results and implications were provided, along with some future research directions.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6327-6332
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• 2014

National cancer registration reports provide a huge potential for identifying patterns and trends of important policy, research, prevention and treatment significance. As summary reports written on an annual basis, the China Cancer Registry Annual Reports (CCRARs) fall short from fully addressing their potential. This paper attempts to explore part of the patterns and trends hidden behind published CCRARs. It extracted data for cancer incidence rates (IRs) and mortality rates (MRs) for 2004, 2006 and 2009 from relevant CCRARs and portrayed 4 kinds of indicators in line graphs. The study showed that: a) all of the line graphs of age-specific IRs and MRs characterized typical "growth curves or histogram"; b) graphs of IRs and MRs for males and urban areas had higher peaks than that for females and rural regions; c) most of the line graphs of IR/MR ratios comprised a starting peak, a secondary peak and a decreasing tail and the secondary peaks for females and urban areas were higher than those for males and rural areas; d) most of the urban versus rural IR ratios valued above one, but most the urban versus rural MR ratios, below one; e) the accumulative IRs and MRs showed a stable increasing trend from 2004 to 2009 for urban areas, but mixed for rural regions.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.272-275
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• 2004

Recently, the services using position information of moving objects is embossed. Theses services needs the moving objects databases to manage moving object data with efficiency. To build the moving object databases, we must develop the moving object engine to mange, store, and search the spatio temporal data of moving object. The moving object engine has to support query syntax to search data that suitable for user need like LBS, Telematics, ITS, vehicle management system. In this paper, we design and implement the moving object engine to support service with moving object data. The moving object engine is able to support system environment that users are able to get the moving object data easily even they don't know complex data structure.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.115-123
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• 2024

The purpose of this study is to contribute to how the advantages of artificial intelligence (AI) services and the associated limitations can be simultaneously overcome, using the keywords AI and risk management. To achieve this, two cases were introduced: (1) presenting a risk monitoring process utilizing AI and (2) introducing an operational toolkit to minimize the emerging limitations in the development and operation of AI services. Through case analysis, the following implications are proposed. First, as AI services deeply influence our lives, the process are needed to minimize the emerging limitations. Second, for effective risk management monitoring using AI, priority should be given to obtaining suitable and reliable data. Third, to overcome the limitations arising in the development and operation of AI services, the application of a risk management process at each stage of the workflow, requiring continuous monitoring, is essential. This study is a research effort on approaches to minimize limitations provided by advancing artificial intelligence (AI). It can contribute to research on risk management in the future growth and development of the related market, examining ways to mitigate limitations posed by evolving AI technologies.

• Journal of Information Technology Applications and Management
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• v.16 no.2
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• pp.45-63
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• 2009

China has the largest number of the user of web 2.0 such as messengers and blogs, as of 2008 year. Chinese Internet digital market will grow from $85 billion in 2007 to $264 billion in 2015. The importance of Chinese Internet business is increasing, because of its size and growth potential. This research is focused on following two questions. First, what are the major characteristics of social networking services in China? In order to find out the answer about this question, the case study on Tencent QQ and Sina Poco, the most representative social networking services company in China, was done. And the reason of the use of social networking services, their contents, and the attitude toward the paid service were identified. Second, what are the major factors influencing the use of social networking services in China. User participation, network effect, usefulness, and system quality were inferred as the factors influencing the use. These factors were based on motivation theory, technology acceptance model, and the related research papers. This research model was proved by data analysis using Partial Least Square. As results, the use of social networking services was influenced by usefulness, network effect, user participation, and system quality. But social influence was not significant of the use of social networking services.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.53-73
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• 2013

This study revisits issues for Big data. Three research questions, understanding the concept of Big data, important issues of Big data research and utilization methods for library information services, are explored by the literature and practice reviews. Study results revealed several important issues of Big data including the concept in the context of real world situation, the problems with the accuracy and reliability of the data, privacy and ethical issues, and issues of intellectual property rights. With understanding these issues, a few utilization methods were introduced for Library and Information services. It was included using its analysis for developing vision, adopting Library management, supporting community services, and providing customized information services for various users. The study concluded Big data analysis would effectively provide valid evidences for all those services.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.227-251
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• 2019

In early 2019, Korea passed the law that introduced data management plan policy similar to those adopted by national funding agencies in other countries. In anticipation of developing research data infrastructure and support services, this study analyzed Australia's relevant policies and policy instruments. A number of face-to-face interviews with the experts at the national funding agency, a national research data agency and a number of research libraries, along with focused literature analysis. In Australia, the 2015 Public Data Policy is applied to research data from publicly funded research. Research data management and sharing is recommended but not required by the national funding agency it its policy documents. Australian National Data Service(ANDS), Australia's national research data agency, is an important component of the national research infrastructure. ANDS plays a wide range of roles including research data platform development, education and training, policy support, and funding agency for small-scale R&D. Some of the Australian research libraries have developed in-house systems for research data storage and publishing. However, there is no significant demand for research data service as yet. Lessons learned include the following: ensuring transparency and predictability of research data policies, establishing a dedicated agency responsible for research data platform development and training, and cultivating data capabilities at research libraries.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.1
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• pp.39-59
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• 2009

Game theory is adapted to a variety of domains such as economics, biology, engineering, political science, computer science, and philosophy in order to analyze economic behaviors. This research is an application of game theory to wireless communication. In particular, in terms of bargaining game we dealt with a multimedia resource allocation problem in wireless communication, which is rapidly spreading such as Wibro, WCDML, IPTV, etc. The algorithm is assumed to allocate multimedia resources to users who can choose and access differentiated media services. For this purpose, 3 utility function of users is devised to reflect quality of service (QoS) and price. We illustrated experimental results with synthesis data which were made to mimic real multimedia data, and analyzed differentiated service providing and the effect of the utility function.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.355-361
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• 2006

It has lately been recognized that the sharing and exchanging of the research results information is the critical factor to improve the research productivity. So many institutions are planning or developing the information systems which provide the research information services for researcher. But it has very difficulty in integrating the research resources information due to the dispersion and heterogeneity in data sources, and semantic and structural difference in describing data. We propose the semantic web based methodology and conceptual framework for raising the interoperability of metadata about research results information, which will support the integration of the distributed research data for information services in the end. Finally we proposed the conceptual architecture of research information service system which shows the main components, the functional requirements, and the principal and design direction at implementing the system.