• 대한두경부종양학회:학술대회논문집
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• 2001.11a
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• pp.249-249
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• 2001

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.131-140
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• 2006

There are many statistical information sites as the use of internet is increased quickly in recent years. In this paper, we explore and analyze internet sites for statistical information such as statistical survey system, education, database, and terminology. And then we classify these sites to apply statistical information to some particular spheres easily. In so doing, this study result aims at enhancing our understanding of internet sites for statistical information.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.63-75
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. We analyze Gyeongnam social indicator survey data using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

• Journal of the Korean Data and Information Science Society
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• v.15 no.4
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• pp.759-771
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. We analyze Gyeongnam social indicator survey data using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.77-86
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• 2004

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.681-684
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• 2007

This paper proposed and designed I-PD Controller using Shunji Manabe's CDM. The designed controller is applied to a level control system. The designed I-PD controller is smaller steady state error and get a specific response. A simulation results, the designed controller was better than a Fuzzy I-PD controller on a level control system.

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2008.05a
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• pp.90-90
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• 2008

• 대한임상약리학회:학술대회논문집
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• 2005.12a
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• pp.12-12
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• 2005

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.561-563
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• 1997

In this paper, we identified the Black-box system with serious nonlinerity and fast dynamics using Neural Network. This NN have new structure and learned by RLS. It identify system in real-time without priori data. We use this NN to 7-DOF vehicle identification.

• Proceedings of the Zoological Society Korea Conference
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• 1996.10a
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• pp.171.2-171
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• 1996

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