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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 12, Issue 6 - Dec 2002
Volume 12, Issue 5 - Oct 2002
Volume 12, Issue 4 - Aug 2002
Volume 12, Issue 3 - Jun 2002
Volume 12, Issue 2 - Apr 2002
Volume 12, Issue 1 - Feb 2002
Selecting the target year
Behavior strategies of Soccer Robot using Classifier System
Sim, Kwee-Bo ; Kim, Ji-Youn ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 289~293
DOI : 10.5391/JKIIS.2002.12.4.289
Learning Classifier System (LCS) finds a new rule set using genetic algorithm (GA). In this paper, The Zeroth Level Classifier System (ZCS) is applied to evolving the strategy of a robot soccer simulation game (SimuroSot), which is a state varying dynamical system changed over time, as GBML (Genetic Based Machine Learning) and we show the effectiveness of the proposed scheme through the simulation of robot soccer.
An Interval Type-2 Fuzzy Perceptron for Finding Linear Decision Boundaries
Hwang, Cheul ; Rhee, Frank Chung-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 294~299
DOI : 10.5391/JKIIS.2002.12.4.294
This paper presents an interval type-2 fuzzy perceptron algorithm that is an extension of the type-1 fuzzy perceptron algorithm proposed in . In our proposed method, the membership values for each pattern vector are extended as interval type-2 fuzzy memberships by assigning uncertainty to the type-1 memberships. By doing so, the decision boundary obtained by interval type-2 fuzzy memberships can converge to a more desirable location than the boundary obtained by crisp and type-1 fuzzy perceptron methods. Experimental results are given to show the effectiveness of our method.
Hyper-ellipsoidal clustering algorithm using Linear Matrix Inequality
Lee, Han-Sung ; Park, Joo-Young ; Park, Dai-Hee ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 300~305
DOI : 10.5391/JKIIS.2002.12.4.300
In this paper, we use the modified gaussian kernel function as clustering distance measure and recast the given hyper-ellipsoidal clustering problem as the optimization problem that minimizes the volume of hyper-ellipsoidal clusters, respectively and solve this using EVP (eigen value problem) that is one of the LMI (linear matrix inequality) techniques.
Documentation of Printed Hangul Images of the Selected Area by Finger Movement
Beak, Seung-Bok ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 306~310
DOI : 10.5391/JKIIS.2002.12.4.306
In this paper, we realized a system that converts the Korean alphabet (Hangul) images, which are in any domain that is formed by the finger movement on the Hangul document, to the editable characters and then outputs them to the word editor. The domain of hand is separated from the sphere of document in the pre-process step of image. The centroid point of hand is drawn by the maximum circular movement method. After the system recognizes the hand with the circular pattern vector algorithm, finds out the position of finger by the distance spectrum and then draws out the sphere of selected character image by the finger movement to divide the characters into character units by applying the histogram between the Hangul characters. We standardized the characters of various sizes. We used the circular pattern vector algorithm that grafts on the fuzzy inference to divert the character images of the domain, which user wants, to the editable characters by comparing the characteristic vectors between the standard pattern character and the inputted character and by recognizing the character.
Intelligent Fuzzy Modeling and Robust Digital fuzzy Control for Level Control in the Steam Generator of a Nuclear Power Plant
Joo, Young-Hoon ; Cho, Kwang-Lae ; Kim, Joo-Won ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 311~316
DOI : 10.5391/JKIIS.2002.12.4.311
Difficulties of the level control in the steam generator are increased due to their nonlinear characteristics. Futhermore, parameter uncertainties of the steam generator is related with control performance and stability. The efficiency of digital conversion in control systems is proved in many recent researches. In order to solve this problem, this paper suggests robust digital fuzzy controller design methodologies of the steam generator which have unstable parameters. Takagi-Sugeno (TS) fuzzy model is used to construct a fuzzy model which has uncertainties in the steam generator. In designing procedure, intelligent digital redesign method is used to control the nonlinear system. This digital controller keeps the performance of the analog controller. Simulation examples are included for ensuring the proposed control method.
A Hybrid Method for Improvement of Evolutionary Computation
Chung, Jin-Ki ; Oh, Se-Young ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 317~322
DOI : 10.5391/JKIIS.2002.12.4.317
The major operations of Evolutionary Computation include crossover, mutation, competition and selection. Although selection does not create new individuals like crossover or mutation, a poor selection mechanism may lead to problems such as taking a long time to reach an optimal solution or even not finding it at all. In view of this, this paper proposes a hybrid Evolutionary Programming (EP) algorithm that exhibits a strong capability to move toward the global optimum even when stuck at a local minimum using a synergistic combination of the following three basic ideas. First, a "local selection" technique is used in conjunction with the normal tournament selection to help escape from a local minimum. Second, the mutation step has been improved with respect to the Fast Evolutionary Programming technique previously developed in our research group. Finally, the crossover and mutation operations of the Genetic Algorithm have been added as a parallel independent branch of the search operation of an EP to enhance search diversity.
On set-valued Choquet integrals and convergence theorems(II)
Jang, Lee-Chae ; Kim, Tae-Kyun ; Jeon, Jong-Duek ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 323~326
DOI : 10.5391/JKIIS.2002.12.4.323
In this paper, we consider Choquet integrals of interval number-valued functions(simply, interval number-valued Choquet integrals). Then, we prove convergence theorem for interval number-valued Choquet integrals with respect to an autocontinuous fuzzy measure.
A Heuristic Metric for Measuring Complexity of Class Inheritance Structures
Chung, Hong ; Kim, Tae-Sik ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 328~333
DOI : 10.5391/JKIIS.2002.12.4.328
The deeper the hierarchy of a inheritance structure is, the better the reusability of the structure is, but the more difficult the understandability and the maintainability of it is. On the contrary, the shallower the hierarchy is, the worse the abstraction of the inheritance structure is, but the better the understandability and modifiability of it is. Therefore, it is to be desired that a deep hierarchy of a inheritance structure should be split to be shallow for the maintainability of a system. This paper proposed a complexity metric that is based on DIT and NOC of Chidamber and Kemerer, and solved the ambiguity of the metrics of them, which was pointed out by Li. The metric is a simple and heuristic one for measuring the complexity of class inheritance structures by considering the number of ancestor classes and descendant classes and the depth of inheritance hierarchy. This provides a quantitative information for assessing the complexity of a inheritance structure in splitting it.
Self-Organizing Fuzzy Modeling Using Creation of Clusters
Koh, Taek-Beom ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 334~340
DOI : 10.5391/JKIIS.2002.12.4.334
This paper proposes a self-organizing fuzzy modeling which can create a new hyperplane-shaped cluster by applying multiple regression to input/output data with relatively large fuzzy entropy, add the new cluster to fuzzy rule base and adjust parameters of the fuzzy model in repetition. Tn the coarse tuning, weighted recursive least squared algorithm and fuzzy C-regression model clustering are used and in the fine tuning, gradient descent algorithm is used to adjust parameters of the fuzzy model precisely And learning rates are optimized by utilizing meiosis-genetic algorithm. To check the effectiveness and feasibility of the suggested algorithm, four representative examples for system identification are examined and the performance of the identified fuzzy model is demonstrated in comparison with that of the conventional fuzzy models.
A Ranking Method for Type-2 Fuzzy Values
Lee, Seung-Soo ; Lee, Kwang-H. ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 341~346
DOI : 10.5391/JKIIS.2002.12.4.341
Type-1 fuzzy set is used to show the uncertainty in a given value. But there are many situations where it needs to be extended to type-2 fuzzy set because it can be also difficult to determine the crisp membership function itself. Type-2 fuzzy systems have the advantage that they are more expressive and powerful than type-1 fuzzy systems, but they require many operations defined for type-1 fuzzy sets need to be extended in the domain of type-2 fuzzy sets. In this paper, comparison and ranking methods for type-2 fuzzy sets are proposed. It is based on the satisfaction function that produces the comparison results considering the actual values of the given type-2 fuzzy sets with their possibilities. Some properties of the proposed method are also analyzed.
Fuzzy Membership Functions and AHP-Based Negotiation Support in Electronic Commerce
Kim, Jin-Sung ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 347~352
DOI : 10.5391/JKIIS.2002.12.4.347
This paper propose the Fuzzy AHP(Analytic Hierarchical Process)-based negotiation support (FAHP-NEGO) mechanism to support the dynamic negotiation process in Electronic Commerce(EC). Negotiation is a form of decision-making with two or more actively involved agents who can not make decisions independently, and therefore must make concessions to achieve a compromise. Having concerned that point, the theoretical framework of FAHP-NEGO mechanism is presented by means of fuzzy membership functions and AHP. This mechanism encompasses both qualitative and quantitative conditions, and the use of multiple negotiation procedures for solving the electronic negotiation problem, adjusting the fuzzy membership function, and restructuring the problem representation. A hypothetical example of a healthcare products purchase is given to illustrate the quality of the proposed mechanism. The results showed that the Fuzzy AHP-based negotiation support mechanism could reflect both qualitative and quantitative conditions in EC. The implications of the study for future directions of research on electronic negotiation support modeling and systems are presented.
Immune Algorithm Controller Design of DC Motor with parameters variation
Park, Jin-Hyun ; Jun, Hyang-Sig ; Lee, Min-Jung ; Kim, Hyun-Sik ; Choi, Young-Kiu ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 353~360
DOI : 10.5391/JKIIS.2002.12.4.353
Methods for automatic tuning of PID controllers have been on of the results of the active research on control. The proposed controller also is auto-tuning of PID controller The proposed immune algorithm has an uncomplicated structure and memory-cell mechanism as the optimization algorithm which imitates the principle of humoral immune response. We use the proposed algorithm to solve optimization of PID controller parameters. Up to now, the applications of immune algorithm have been optimization problems with non-varying system parameters. Therefore the usefulness of memory-cell mechanism in immune algorithm is without. And research of memory-cell mechanism does not give us entire satisfaction. This paper proposes the immune algorithm using a memory-cell mechanism which can be the application of system with nonlinear varying parameters. To verify performance of the proposed immune algorithm, the speed control of nonlinear DC motor are performed. The results of Computer simulations represent that the proposed immune algorithm shows a fast convergence speed and a good control performances under the varying system parameters.
Decision Support Method in Dynamic Car Navigation Systems by Q-Learning
Hong, Soo-Jung ; Hong, Eon-Joo ; Oh, Kyung-Whan ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 361~365
DOI : 10.5391/JKIIS.2002.12.4.361
The characteristic analysis of EEG artifacts
Yang, Eun-Joo ; Shin, Dong-Sun ; Kim, Eung-Soo ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 366~372
DOI : 10.5391/JKIIS.2002.12.4.366
EEG is the electrical signal, which is occurred during information processing in the brain. These EEG signal are measured by non-invasive method. EEG has many useful information for brain activity, but artifacts which are included in EEG prevents EEG analysis, so many efforts are devoted to remove these artifacts in EEG. However, this study is going to analysis the feature of the EEG mixed with artifacts in forward-looking way, by using this way, we have found the possibility that is actually applicable to system such as control system. We have made feature difference after the linear as well as nonlinear analysis regarding EEG including typical artifacts, eye-blinking, eye rolling, muscle, and so forth.
A High-speed Fuzzy Controller with Integer Operations on GUI Environments
Kim, Jong-Hyuk ; Son, Ki-Sung ; Lee, Byung-Kwon ; Lee, Sang-Gu ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 373~378
DOI : 10.5391/JKIIS.2002.12.4.373
In fuzzy inferencing, most of conventional fuzzy controllers have problems of speed down in floating point operations of fuzzy membership functions in (0,1) as compared with integer operations. Therefore, in this paper, we propose a high-speed fuzzy controller with only integer operations. In this, for fast fuzzy computations, we use a scan line conversion algorithm to convert lines of each fuzzy linguistic term to the set of the closest integer pixels. We also implement a GUI (Graphic User Interface) application program for the convenient environments to modify and input fuzzy membership functions.
PDA-based Supervisory Control of Mobile Robot
Kim, Seong-Joo ; Jung, Sung-Ho ; Kim, Yong-Taek ; Jeon, Hong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 12, issue 4, 2002, Pages 379~384
DOI : 10.5391/JKIIS.2002.12.4.379
This paper represents the mobile robot system remote controlled by PDA(personal digital assistance). So far, owing to the development of internet technologies, lots of remote control methods through internet have been proposed. To control a mobile robot through internet and guide it under unknown environment, We propose a control method activated by PDA. In a proposed system, PDA acts as a user interface to communicate with notebook as a controller of the mobile robot system using TCP/IP protocol, and the notebook controls the mobile robot system. The information about the direction and velocity of the mobile robot feedbacks to the PDA and the PDA send new control method produced from the fuzzy inference engine.