• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.321-332
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• 2004

The purpose of this research is to introduce the concept of "relationship formation factors" in inter-firm relations and to empirically demonstrate that they are effective in improving the relationship results by means of anmediating variable. Therefore, the basic model of this study consists of the independent, mediating, and dependent variables. First, the independent variable, that is, the relationship formation factors, is further classified into three components： transactional, relational, environmental characteristics. Then, the study empirically examines how each of the three components influences the dependent variable, that is, the business performance(Load Factor), by way of the mediating variables, that is, trust and relationship commitment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.627-630
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• 2001

XML is suitable to integrate various forms of engineering design data since it possesses the characteristics of both documents and data. In this research a web-based design system has been developed, which integrates various gear design data in the form of XML. The system generates XML document containing gear design data and transforms gear design data in the relational database into XML document form automatically. The XML documents are transmitted to gear modeler agent through SOAP, and then the agent is automatically executed and generates CAD model files and VRML files. The designer can check the generated VRML model of gear immediately in the web service.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.342-346
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• 1997

In the recent competitive market situation, the product development lead-time plays a significant role for the success of a manufacting company. One of the most important efforts required is reducing the design lead-time by managing all the necessary technical information related to the design process. In this paper,the data model for an engineering data management system for machine tools is described by applying object-oriented modeling technique. The design objects and their structure are defined regarding the functions such as version control, configuration management, and technical document management, and are implemented using an object-relational database management system. The suggested model takes into special account the characteristics of machining centers.

• Journal of Industrial Technology
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• v.16
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• pp.257-265
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• 1996

When machining of a free-form surface with a ball endmill it is very important to select proper cutting conditions considering the geometrical shape of a workpiece to make the production more effective and reduce the machining time. Even though the same cutting conditions and materials are used, the cutting system of different geometry part machining shows the different static/dynamic characteristics. In this study, through various cutting experiments, we can construct the data base of stable cutting conditions for the machining of a Zine Alloy. We can get some relational plots between the optimal feedrates and classified shape features and parameters. On the basis of these results, we can develop the feedrate optimization program OptiCode. The developed program make it possible to reduce the cutting time and increase the machining accuracies.

• Journal of Agricultural Extension & Community Development
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• v.24 no.3
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• pp.199-209
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• 2017

This research started from the perspective that dynamics of the Saemaul Undong in the village which is a unit of saemaul development is the formation of social capital. The subjects of this research are 122 success village stories of Saemaul Undong in 1970~1979. Through the content analysis, it extracted the social capital elements in the Saemaul Undong practice process and analyzed their characteristics. As a result of the research, it was confirmed that the formation and utilization of internal and external networks, which are structural capital, actively developed. Saemaul Undong contributed to formation and strengthening of relational capital such as trust and norms. This will be used as a basic data for research on Saemaul Undong, and it can be used as an index of the participation of villagers in rural development strategy of developing countries.

• Knowledge Management Research
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• v.2 no.1
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• pp.1-23
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• 2001

The ability to share knowledge internally is critical to a firm's capability to gain competitive advantage through the leveraging of a firm's competencies, which are often "imprisoned" and dispersed across it's multiple businesses. The purpose of this paper is to propose knowledge sharing related factors which focus on variables regarding the success of knowledge sharing. To attain this purpose, this paper is structured in four main sections. We examined various concepts of knowledge sharing in the past research. We then briefly discuss about trends of methodological approach from the review of the existing studies. We go on to identify the factors that facilitate or hinder knowledge sharing within the firm. Factors regarding knowledge sharing were identified, analyzed, and summarized. Those factors could be categorize into three dimensions (structural, relational, and knowledge characteristics). Finally, we suggested areas for future research. Implications for the study on knowledge sharing were provided.

• Journal of Navigation and Port Research
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• v.28 no.5
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• pp.373-384
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• 2004

The purpose of this research is to introduce the concept of "relationship formation factors" in inter-firm relations and to empirically demonstrate that they are effective in improving the relationship results by means of an mediating variable. Therefore, the basic model of this study consists of the independent, mediating, and dependent variables. First, the independent variables, that is, the relationship formation factors, are further classified into three components. transactional, relational, and environmental characteristics. Then, the study empirically examines how each of the three components influences the dependent variable. that is, the business performance(Load Factor), by way of the mediating variables, that is, trust and relationship commitment.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.565-568
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• 1998

In this paper, we propose a new method for multispectral image compression that is based on highly correlated relational properly taken from a spatial image and its wavelet transform. The highly active regions, such as edges or contour, in the spatial domain are appeared as significant coefficients in the wavelet transform domain; and the low active regions like background as insignificant. These characteristics play an important role in designing the system. The simulation results have shown us that the proposed method has better performance in terms of the reconstructed image quality and the transmitted bit rakes. Practically, our system can be successfully applied to the application areas that require of progressive transmission. For some multispectral images with relatively low activity, we have obtained the more good results.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.2472-2479
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• 2008

There exist several ways to analyse the accident causal analysis. Selection of a method and procedure depends on the characteristics of the system being analysed. Moreover, the selection should take into account of how the accidents causes are classified, since analysis model should make use of the classified causes to identify factors contributing to the risk of accidents. For railway case, a relational analysis as well as statistical estimation of significant hazard frequencies is applied to identify the dominant causes of accidents. This paper introduces outline of the causal analysis system, which is a significant part of the railway accident information and analysis system.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.57-63
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• 2017

The recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Thus, big data processing technologies, which are normally based on distributed file systems, distributed database management, and parallel processing technologies, have arisen as a core technology to implement big data repositories. In this paper, we propose a design methodology for large-scale database based on MongoDB by extending the information engineering methodology based on E-R data model.