• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.601-611
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• 2014

The purpose of this study is to analyze the Korean science magazine, Science Donga providing scientific facts, phenomenons, and issues with infographic for the readers by time series analysis and to search for the application of infographic on the science education. The criteria for the infographic analysis of Science Donga consisted of three categories such as storytelling type, visual perception, and framework level because infographic presents complex information quickly and clearly by integrating various images, words, and graphics. We found that the articles emphasized by including image about science issue have been published from 1986 to 2014. Particularly, after 2008, the articles including infographic sharply rose. So we set up 2008 as $T_c$(Critical time point). The articles including infographic after 2008 have been more variously distributed and frequently used in storytelling types category such as location, time, number, connection, function, and process based infographic, in visual perception of Gestalt Theory such as proximity, similarity, continuation, and closure than before 2008. Lastly, in framework level category, location, time, number, and process based infographic mainly had total range level but function and connection based infographic changed in the framework level. The three features about storytelling type, visual perception, framework level are important changes to influence $T_c$ in the infographic analysis about Science Donga. Through the results of this study, we analyzed the feature of change on infographic from 1986 to 2014. Thus, we hope that the results suggest a basic criteria for making materials including infographic in science education.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.139-162
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• 2006

This study suggested a knowledge theory, theoretical framework and general principles in methodologies for library and information science by theoretically weighing domain analysis. The central concept to domain analysis are a subject knowledge constituting the domain and a discourse communities to share their knowledge. Therefore the study described a definition of domain and explained domain in ontological, epistemological, and sociological dimensions, proposed eleven approaches available in domain analysis. And the study argued the implications of domain analysis for library and information in position of socio-cognitive view and pragmatic realism.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.138-154
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• 2008

Geo-special technologies are being adopted in variety fields since the 3rd NGIS plan that was started at 1996. However, the required system or structure to guarantee the up-to-date validity and accuracy of the geospatial data - the most fundamental elements of the technology - was not constructed yet. All the activities related to geospatial data, including topographical map and numerical base map, are all implemented in separate way; from change of geographical objects and features, data gathering, and database construction to distribution, transfer and sharing of these data. The data model that links all the activities are required that enables consistent data-flow and effective and systematic work-flow. In this study, economic data renewal and exchange method was proposed, and benefit-cost analysis was implemented by comparing the conventional work-flow to newly proposed work-flow. The case study was implemented using the model that was adopted in Daegu metropolitan city, and the model was developed by reflecting these results.

• Information Systems Review
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• v.5 no.2
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• pp.1-21
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• 2003

In this paper, we investigate industrial product intermediary's transformation strategy by exploiting advantages afforded by web based information technologies. Our motivation for this research stems from exploring intermediary's responding strategy to cope with supplier's threatening to disintermediation. From transaction cost perspective, internet can induce both the vertical quasi-integration (electronic hierarchy) and outsourcing (electronic market). Our rationale on directing one of these bi-directional movements is specified on intermediary's value adding on the supply chain. As such, we investigated supply chain performance, IT effects on customer's requirement of channel functions, and channel power structure. Propositions to suggest contingent e-transforming strategic alternatives are logically derived from dyadic nature of supply chain characteristics such as efficiency versus customer services, and supplier dominant versus easy replaceability of suppliers. The contingent e-transformation framework developed from intermediary's perspective is reviewed through longitudinal industry case analysis. Implications from the industry case analysis give us insights for the effectiveness of the framework to combine supply chain characteristics with intermediary's e-transformation.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.275-287
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• 2015

Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.207-216
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• 2000

Due to recent growing interest in autonomous software agents and their potential application in areas such as electronic commerce, the autonomous negotiation become more important. Evidence from both theoretical analysis and observations of human interactions suggests that if decision makers have prior information on opponents and furthermore learn the behaviors of other agents from interaction, the overall payoff would increase. We propose a new methodology for a strategy finding process using data mining in autonomous negotiation system ; ANSIA (Autonomous Negotiation System using Intelligent Agent). ANSIA is a strategy based negotiation system. The framework of ANSIA is composed of following component layers : 1) search agent layer, 2) data mining agent layer and 3) negotiation agent layer. In the data mining agent layer, that plays a key role as a system engine, extracts strategy from the historic negotiation is extracted by competitive learning in neural network. In negotiation agent layer, we propose the autonomous negotiation process model that enables to estimate the strategy of opponent and achieve interactive settlement of negotiation. ANISIA is motivated by providing a computational framework for negotiation and by defining a strategy finding model with an autonomous negotiation process.

• The Journal of Information Systems
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• v.8 no.1
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• pp.45-63
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• 1999

Today, information society is affected by new technologies including Electronic Commerce(EC), Electronic Data Interchange(EDI), Commerce At Light Speed(CALS ), multimedia and teleconferencing. Electronic Commerce is believed to be a field that will bring about a huge revolution of human life in the 21st century and thus its industry will give greatly influential effect on other industries In this paper, we have surveyed and studied through the internet and related materials for the development of framework of Electronic Commerce. It is required that we need the leading role of our government for the earlier activation of Electronic Commerce usage and have to establish the solid background of EC technology creation of our nation's originality and to activate the venture industry oriented for idea and technology rather than the industries in the form of larger enterprises. In conclusion, we have to expand our own ability of research and development to keep the continuous growth of our Electronic Commerce market and industries through the development of new product and prior acquisition of market as well as to expand the path of various technology aquisition by the strategic M&A and capital investment with the leading foreign enterprises.

• Convergence Security Journal
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• v.7 no.4
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• pp.51-60
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• 2007

It is important to assess vulnerability of network and information system to countermeasure against a variety of attack in effective and efficient way. But vulnerability and risk assessment methodology for network and information systems could not be directly applied to sensor networks because sensor networks have different properties compared to traditional network and information system. This paper proposes a vulnerability assessment framework for cluster based sensor networks. The vulnerability assessment for sensor networks is presented. Finally, the case study in cluster based sensor networks is described to show possibility of the framework.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1122-1135
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• 2022

With the development of digital technology and the influence of the global pandemic, the metaverse, a three-dimensional virtual world, is receiving attention in society, economy and overall industry, and the manufacturing industry is also accepting it as a major strategic agenda for digital transformation. Therefore, in this study, the concept of the industry metaverse from the perspective of the manufacturing industry was defined, and the types of the industry metaverse were classified into four types by reflecting the characteristics of the manufacturing industry based on the general metaverse scenario presented in previous studies. These are Virtual behavior simulation, Augmented operation of business objects and Virtual experience simulation, Augmented decision of business subjects. In addition, through case analysis of solutions used in the manufacturing industry, it was confirmed that the central technology of the Industry Metaverse is the digital twin, and that it is being implemented by convergence with major digital technologies such as virtual reality, augmented reality, digital human, and AI. This study will be able to provide guidelines for future research on the metaverse from the perspective of the manufacturing industry and establishment of a digital transformation strategy for the industry.

• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.323-326
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• 2008

Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.