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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Intelligent Systems
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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 9, Issue 6 - Dec 1999
Volume 9, Issue 5 - Oct 1999
Volume 9, Issue 4 - Aug 1999
Volume 9, Issue 3 - 00 1999
Volume 9, Issue 2 - 00 1999
Volume 9, Issue 1 - 00 1999
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Generation of Decision Rules Bsed on Concept Ascension and Optimal Reduction of Attributes
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 367~374
This paper suggests an integrated method based on concept ascension and attribute reduction for efficient induction of decision rules from a large database. We study an automatic scheme to generate concept trees by a clustering technique, a method for generalizing databases by the concept ascension technique, an optimal reduction method by means of attributes reduction using the sibmificance of attributes, and an efficient way of reduction of attribute values applying the discernible matrix and functions. The method can be used for the decision making tasks such as an investment planning or price evaluation, the construction of knowledge bases for diagnosis of defects or medical diagnosis, data analysis such as marketing or experimental data, information retrieval for high level inquiries, and so on.
Measuring Reusability of the Function-Oriented Component Based on Rough and Fuzzy Sets
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 375~383
Modularized Gain Scheduled Fuzzy Logic Control with Application to Nonlinear Magnetic Bearings
Hong, Sung-Kyung ;
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 384~388
This paper describes an approach for synthesizing a modularized gain scheduled PD type fuzzy logic controller(FLC) of nonlinear magnetic bearing system where the gains of FLC are on-line adapted according to the operating point. Specifically the systematic procedure via root locus technique is carried out for the selection of the gains of FLC. Simulation results demonstrate that the proposed gain scheduled fuzzy logic controller yields not only maximization of stability boundary but also better control performance than a single operating point (without gain scheduling)fuzzy controller.
A DNA Coding Method for Evolution of Developmental Model
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 389~395
Pattern Classification using the Block-based Neural Network
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 396~403
Some properties of fuzzy closure spaces
Lee, Sang-Hun ;
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 404~410
We will prove the existence of initial fuzzy closure structures. From this fact we can define subspaces and products of fuzzy closure spaces. Furthermore the family
(X) of all fuzzy closure operators on X is a complete lattice. In particular an initial structure of fuzzy topological spaces can be obtained by the initial structure of fuzzy closure spaces induced by those. We suggest some examples of it.
An Evaluation Model of Systems level Using Modified Eigenvector Method and Fuzzy Subordination Relations
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 411~419
In this paper, we propose an evaluation model of systems level using modified eigenvector method and fuzzy subordination relations. This model is desibmed to evaluate the level of system in enterprise. In here. modified eigenvector method is proposed to compute the weights of each criteria in two evaluation group. Also, fuzzy subordination relations is used to evaluate the relationship between the criteria by painvise comparison. In this paper. we can get the evaluated score for the present level of system. This method will help to manage and improve the systems. We show the efficiency of the this method by means of a case study for evaluation problem of environmental management systems.
A Study on the Control System of Maximum Demand Power Using Neural Network and Fuzzy Logic
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 420~425
The maximum demand controller is an electrical equipment installed at the consumer side of power system for monitoring the electrical energy consumed during every integrating period and preventing the target maximum demand (MD) being exceeded by disconnecting sheddable loads. By avoiding the peak loads and spreading the energy requirement the controller contributes to maximizing the utility factor of the generator systems. It results in not only saving the energy but also reducing the budget for constructing the natural base facilities by keeping thc number of generating plants ~ninimumT. he conventional MD controllers often bring about the large number of control actions during the every inteyating period and/or undesirable loaddisconnecting operations during the beginning stage of the integrating period. These make the users aviod the MD controllers. In this paper. fuzzy control technique is used to get around the disadvantages of the conventional MD control system. The proposed MD controller consists of the predictor module and the fuzzy MD control module. The proposed forecasting method uses the SOFM neural network model, differently from time series analysis, and thus it has inherent advantages of neural network such as parallel processing, generalization and robustness. The MD fuzzy controller determines the sensitivity of control action based on the time closed to the end of the integrating period and the urgency of the load interrupting action along the predicted demand reaching the target. The experimental results show that the proposed method has more accurate forecastinglcontrol performance than the previous methods.
Detection of High Impedance Fault Using Adaptive Neuro-Fuzzy Inference System
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 426~435
A high impedance fault(HIF) is one of the serious problems facing the electric utility industry today. Because of the high impedance of a downed conductor under some conditions these faults are not easily detected by over-current based protection devices and can cause fires and personal hazard. In this paper a new method for detection of HIF which uses adaptive neuro-fuzzy inference system (ANFIS) is proposed. Since arcing fault current shows different changes during high and low voltage portion of conductor voltage waveform we firstly divided one cycle of fault current into equal spanned four data windows according to the mangnitude of conductor voltage. Fast fourier transform(FFT) is applied to each data window and the frequency spectrum of current waveform are chosen asinputs of ANFIS after input selection method is preprocessed. Using staged fault and normal data ANFIS is trained to discriminate between normal and HIF status by hybrid learning algorithm. This algorithm adapted gradient descent and least square method and shows rapid convergence speed and improved convergence error. The proposed method represent good performance when applied to staged fault data and HIFLL(high impedance like load)such as arc-welder.
3D Object Restoration and Data Compression Based on Adaptive Simplex-Mesh Technique
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 436~443
Most of the 3D object reconstruction techniques divide the object into multiplane and approximate the surfaces of the object. The Marching Cubes Algorithm which initializes the mesh structure using a given isovalue. and Delaunay Tetrahedrisation are widely used. Deformable models are well-suited for general object reconstruction because they make little assumptions about the shape to recover and they can reconstruct objects *om various types of datasets. Now, many researchers are studying the reconstruction systems based on a deformable model. In this paper, we propose a novel method for reconstruction of 3D objects. This method, for a 3D object composed of curved planes, compresses the 3D object based on the adaptive simplexmesh technique. It changes the pre-defined mesh structure, so that it may approach to the original object. Also, we redefine the geometric characteristics such as curvatures. As results of simulations, we show reconstruction of the original object with high compression and concentration of vertices towards parts of high curvature in order to optimize the shape description.
The Character Area Extraction and the Character Segmentation on the Color Document
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 444~450
This paper deals with several methods: the clustering method that uses k-means algorithm to abstract the area of characters on the image document and the distance function that suits for the HIS coordinate system to cluster the image. For the prepossessing step to recognize this, or the method of characters segmentate, the algorithm to abstract a discrete character is also proposed, using the linking picture element. This algorithm provides the feature that separates any character such as the touching or overlapped character. The methods of projecting and tracking the edge have so far been used to segment them. However, with the new method proposed here, the picture element extracts a discrete character with only one-time projection after abstracting the character string. it is possible to pull out it. dividing the area into the character and the rest (non-character). This has great significance in terms of processing color documents, not the simple binary image, and already received verification that it is more advanced than the previous document processing system.
A Study of an Order Decision of Teaching Item Using Fuzzy Theory
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 451~456
All the teaching items in a textbook are normally arranged in a prescribed teaching order. However, one can easily find that the textbooks of the same kind, even with the same teaching items, show different arrangements. Without learning preceding teaching items, students may have a difficulty in understanding the teaching items. In this sense, it is very important to decide how to arrange teaching items in terms of teaching sequence. As a solution to this problem, lsamu Matsubara presents a method based on the graph theory. The four types defined in his method are the straight type, the group type, the branch type, and the independent type. Among these, the three types except the straight type lack the objectivity. An objective solution to these three types, based on the fuzzy theory. is propopsed in this paper.
Fuzzy quasi-uniform bases
Kim, Young-Sum ;
Journal of Korean Institute of Intelligent Systems, volume 9, issue 4, 1999, Pages 457~461
We will define a base of a fuzzy (quasi-)uniform space and investigate some properties. of bases. In particular for the family
(quasi-)uniform bases on X there exists the coarsest fuzzy (quasi-) uniformity on X which is finer than fuzzy (quasi-)uniform