• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.433-439
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• 1998

In this paper, we present an approach to the structure identification based on the input space partition methods and to the parameter identification by hybrid learning method in neuro-fuzzy system. The structure identification can automatically estimate the number of membership function and fuzzy rule using grid partition, tree partition, scatter partition from numerical input-output data. And then the parameter identification is carried out by the hybrid learning scheme using back-propagation and least squares estimate. Finally, we sill show its usefulness for neuro-fuzzy modeling to truck backer-upper control.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1155-1158
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• 1993

Proficiency in creating a knowledge base is required for high accuracy fuzzy control. To overcome this a fuzzy inference method is proposed that take these membership functions from the probability densities showing the distribution of the mesurement values. And a method using a rough fuzzy knowledge base automatically created from the basic measurement data and tuned using the gradient method is proposed. In actual tests, these were applied to automatic high accuracy adjustment devices for magnetic head and for high frequency circuits with good results.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1330-1333
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• 1993

In this paper, first, the fuzzy Petri net inference mechanism with learning function is proposed by using the extended fuzzy Petri nets. Secondly, a control system with this new inference engine is proposed. This system can do automatically and easily the knowledge acquisition from the operator's empirical data and can also be controller adaptively under the big parameter change.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1181-1186
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• 1993

In the paper, a new design method of rule-based fuzzy modeling is proposed for model identification of nonlinear systems. The structure indentification is carried out, utilizing fuzzy c-means clustering. Fuzzy-neural networks composed back-propagation algorithm and linear fuzzy inference method, are used to identify parameters of the premise and consequence parts. To obtain optimal linguistic fuzzy implication rules, the learning rates and momentum coefficients are tuned automatically using a modified complex method.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.317-320
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• 2002

In this paper, an automatic histogram specification method is proposed for image enhancement, Fuzzy membership value is adopted for the representation of image histogram. The desired PDF is automatically constructed by the fuzzy membership value. Fuzzy membership value is extracted from dark membership, bright membership function and original histogram. The effectual results are demonstrated by desired PDF which meet the image enhancement requirements. The performance and effectiveness are shown by the analysis and the resultant image in comparison with histogram equalization method.

• Proceedings of the KIEE Conference
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• 1985.07a
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• pp.224-227
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• 1985

During operation of an RF glow discharge system, it can be observed that the reflected power tends to increase in small value, due to changes in the impedance of the system. This problem can be relieved by adding an automatic impedance matching circuit to the system. This paper presents a detailed method of automatically matching the input impedance of a 50 ohm transmission line to an RF glow discharge system at 13.56 MHZ.

• Journal of the Korean Data and Information Science Society
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• v.16 no.1
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• pp.157-163
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• 2005

In the Web, the data is generally gathered automatically by Web servers and collected in server or access logs. However, as users access larger and larger amounts of data, query response times to extract information inevitably get slower. A method to resolve this issue is the use of summary tables. In this short note, we design a prototype of summary tables that can efficiently extract information from Web log data. We also present the relative performance of the summary tables against a sampling technique and a method that uses raw data.

• IE interfaces
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• v.14 no.2
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• pp.134-139
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• 2001

This paper describes an automatic design system for the parts that compose the power transmission. Power transmission is composed of shaft, gear, clutch, brake and housing. To design power transmission, there are many recurrent calculations and drawings needed with conventional design process. In this paper, we propose three dimensional automatic design system that reduce recurrent calculations and drawings. Developed system consists of two modules; 1) Design expert system module to assist determining design parameters of clutch, brake and gear. 2) Parametric modeling module to make three dimensional solid model automatically. The proposed system has been tested in the fields and found to be a useful system.

• Journal of the Korean Society of Safety
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• v.8 no.4
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• pp.73-81
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• 1993

In recent years, mould industry in machining requires to increase machining productivity and to reduce costs, To adapt this trend it is necessary to optimize machine condition, Even though many researches in this area introduced various way to set the optimal condition, still there are not enough. Therefore this research was done to select the optimal cutting condition for industry, and to develop the computer program to select the optimal cutting condition automatically. The result of this research will contribute to increase machining productivity of various mould companies with the automatic selection of optimal cutting condition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.372-378
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• 1999

The main purpose of this paper is a study on the automatically implementing a Multi user server education system and homepage via web browser from toolkit embedded Multi user server unix server Perl programming language and c language was used to make this toolkit. With using window based web browsers, the user can make they own classroom homepage. In this paper, we propose the single user server version and Multi user server version of this toolkit. With use of ftp, the Multi user server version of this toolkit can make homepage to other unix server workstation