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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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International Journal of Fuzzy Logic and Intelligent Systems
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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 4, Issue 3 - Dec 2004
Volume 4, Issue 2 - Sep 2004
Volume 4, Issue 1 - Jun 2004
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A New Hybrid Genetic Algorithm for Nonlinear Channel Blind Equalization
Han, Soowhan ; Lee, Imgeun ; Han, Changwook ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 259~265
DOI : 10.5391/IJFIS.2004.4.3.259
In this study, a hybrid genetic algorithm merged with simulated annealing is presented to solve nonlinear channel blind equalization problems. The equalization of nonlinear channels is more complicated one, but it is of more practical use in real world environments. The proposed hybrid genetic algorithm with simulated annealing is used to estimate the output states of nonlinear channel, based on the Bayesian likelihood fitness function, instead of the channel parameters. By using the desired channel states derived from these estimated output states of the nonlinear channel, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a conventional genetic algorithm(GA) and a simplex GA. In particular, we observe a relatively high accuracy and fast convergence of the method.
A Study on Fuzzy Wavelet Basis Function for Image Interpolation
Byun, Oh-Sung ; Moon, Sung-Ryong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 266~270
DOI : 10.5391/IJFIS.2004.4.3.266
The image interpolation is one of an image preprocessing process to heighten a resolution. The conventional image interpolation used much to concept that it put in other pixel to select the nearest value in a pixel simply, and use much the temporal object interpolation techniques to do the image interpolation by detecting motion in a moving picture presently. In this paper, it is proposed the image interpolation techniques using the fuzzy wavelet base function. This is applied to embody a correct edge image and a natural image when expand part of the still image by applying the fuzzy wavelet base function coefficient to the conventional B-spline function. And the proposal algorithm in this paper is confirmed to improve about 1.2831 than the image applying the conventional B-spline function through the computer simulation.
A study on the Dynamic Signature Verification System
Kim, Jin-Whan ; Cho, Hyuk-Gyu ; Cha, Eui-Young ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 271~276
DOI : 10.5391/IJFIS.2004.4.3.271
This paper is a research on the dynamic signature verification of error rate which are false rejection rate and false acceptance rate, the size of signature verification engine, the size of the characteristic vectors of a signature, the ability to distinguish similar signatures, the processing speed and so on. Also, we present our efficient user interface and performance results.
An Approach to Generate A Theory of Coordination for Multi-Agent Systems
Kim, Eun Gyung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 277~282
DOI : 10.5391/IJFIS.2004.4.3.277
This paper outlines our approach and the underlying design principles aimed at the generation of a theory of coordination. Such theory would assist in designing new Multi-Agent Systems(MAS) and provide trouble-shooting tools for suboptimally functioning MAS. This paper also describes the decisions that have been made in this endeavor. We have been able to show via a simplified model that approach is feasible and can produce results.
An Efficient Low Complexity Blind Equalization Using Micro-Genetic Algorithm
Kim, Sung-Soo ; Kang, Jee-Hye ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 283~287
DOI : 10.5391/IJFIS.2004.4.3.283
In this paper, a method of designing the efficient batch blind equalization with low complexity using a micro genetic algorithm (GA), is presented. In general, the blind equalization techniques that are focused on the complexity reduction might be carried out with minor effect on the performance. Among the advanced various subjects in the field of GAs, a micro genetic algorithm is employed to identity the unknown channel impulse response in order to reduce the search space effectively. A new cost function with respect to the constant modulus criterion is suggested considering its relation to the Wiener criterion. We provide simulation results to show the superiority of the proposed techniques compared to other existing techniques.
An Intelligent Search Modeling using Avatar Agent
Kim, Dae Su ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 288~291
DOI : 10.5391/IJFIS.2004.4.3.288
This paper proposes an intelligent search modeling using avatar agent. This system consists of some modules such as agent interface, agent management, preprocessor, interface machine. Core-Symbol Database and Spell Checker are related to the preprocessor module and Interface Machine is connected with Best Aggregate Designer. Our avatar agent system does the indexing work that converts user's natural language type sentence to the proper words that is suitable for the specific branch information retrieval. Indexing is one of the preprocessing steps that make it possible to guarantee the specialty of user's input and increases the reliability of the result. It references a database that consists of synonym and specific branch dictionary. The resulting symbol after indexing is used for draft search by the internet search engine. The retrieval page position and link information are stored in the database. We experimented our system with the stock market keyword SAMSUNG_SDI, IBM, and SONY and compared the result with that of Altavista and Google search engine. It showed quite excellent results.
Benchmarking Evaluation of Web System Using Fuzzy Sets
Jeong, Gu-Beom ; Kim, Doo-Ywan ; Her, Chol-Hoi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 292~299
DOI : 10.5391/IJFIS.2004.4.3.292
For Web System composed of a variety of hardware, software and network system, there is a wide difference in price, function and capacity. In addition, it is important to select the most suitable system when web system is constructed as the claim of high-quality web service from user has increased. Data of bench-marking is usually employed when the system is selected. Evaluation with the result of bench-marking, however, is not easy at web situation composed of a variety of systems. In this paper, first integrated bench-marking of hardware, software and network system metric were determined, and the plan to effectively compare and evaluate the result of bench-marking by using fuzzy set were offered.
Controller Design for Fuzzy Systems via Piecewise Quadratic Value Functions
Park, Jooyoung ; Kim, JongHo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 300~305
DOI : 10.5391/IJFIS.2004.4.3.300
This paper concerns controller design for the Takagi-Sugeno (TS) fuzzy systems. The design method proposed in this paper is derived in the framework of the optimal control theory utilizing the piecewise quadratic optimal value functions. The major part of the proposed design procedure consists of solving linear matrix inequalities (LMIs). Since LMIs can be solved efficiently within a given tolerance by the recently developed interior point methods, the design procedure of this paper is useful in practice. A design example is given to illustrate the applicability of the proposed method.
Design and Implementation of the Compound Noun Segmentation Algorithm Based on Statistical Information
Kim, Chang-Geun ; Tack, Han-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 306~310
DOI : 10.5391/IJFIS.2004.4.3.306
This paper suggests a reverse segmentation algorithm using affix information and some preference pattern information of Korean compound nouns. The structure of Korean compound nouns is mostly derived from Chinese characters, and it includes some preference patterns utilized as a segmentation rule in this paper. To evaluate the accuracy of the proposed algorithm, an experiment was performed with 36,061 compound nouns. The experiment resulted in getting 99.3% of correct segmentation and showed excellent satisfactory results from the comparative experimentation with other algorithms. Especially, most of the four-syllable or five-syllable compound nouns were successfully segmented without fail.
Design of Target Cyber Counseling System using Counseling Assistance Agent
Pi, Su-Young ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 311~315
DOI : 10.5391/IJFIS.2004.4.3.311
Because of the characteristics of the cyber world, such as usefulness, anonymousness, patency, economic performance, rapidness, etc., cyber counseling has great possibility. Because he or she may not meet a consultant directly, a client can expose his/her inside problems or secret personal problems, keeping anonymousness. However, existing cyber counseling has the limit in durability of counseling because target counseling appropriate to a client is impossible and a counseling activity is done by one time counseling. In this paper, we attempt to develop a target cyber counseling system in which target cyber counseling is possible. The system will use a counseling assistance agent who can play the role of a counseling supporter as well as a counselor in the cyber space. If target counseling becomes possible, it can heighten efficiency of cyber counseling because a client is satisfied with the result of counseling and thus counseling activities can be continued.
Intelligent Force Control of a Flip Chip Mounting System
Shim, Jae Hong ; Cho, Young Im ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 316~321
DOI : 10.5391/IJFIS.2004.4.3.316
In this paper, we have developed a new mounting head system for flip chip. The proposed head system consists of a macro/micro positioning actuator for stable force control. The macro actuator provides the system with a gross motion while the micro device yields fine tuned motion to reduce the harmful impact force that occurs between very small sized electronic parts and the surface of a PCB(printed circuit board). In order to show the effectiveness of the proposed macro/micro chip mounting system, we compared the proposed system with the conventional chip mounting head equipped with a macro actuator only. A series of experiments were executed under the mounting conditions such as various access velocities and PCB stiffness. As a result of this study, a satisfactory voice coil actuator as the micro actuator has been developed, and its performance meet well the specifications desired for the design of the chip mounting head system and show good correspondence between theoretical analysis and experimental results.
Iris Recognition Based on a Shift-Invariant Wavelet Transform
Cho, Seongwon ; Kim, Jaemin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 322~326
DOI : 10.5391/IJFIS.2004.4.3.322
This paper describes a new iris recognition method based on a shift-invariant wavelet sub-images. For the feature representation, we first preprocess an iris image for the compensation of the variation of the iris and for the easy implementation of the wavelet transform. Then, we decompose the preprocessed iris image into multiple subband images using a shift-invariant wavelet transform. For feature representation, we select a set of subband images, which have rich information for the classification of various iris patterns and robust to noises. In order to reduce the size of the feature vector, we quantize. each pixel of subband images using the Lloyd-Max quantization method Each feature element is represented by one of quantization levels, and a set of these feature element is the feature vector. When the quantization is very coarse, the quantized level does not have much information about the image pixel value. Therefore, we define a new similarity measure based on mutual information between two features. With this similarity measure, the size of the feature vector can be reduced without much degradation of performance. Experimentally, we show that the proposed method produced superb performance in iris recognition.
Learning of Emergent Behaviors in Collective Virtual Robots using ANN and Genetic Algorithm
Cho, Kyung-Dal ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 327~336
DOI : 10.5391/IJFIS.2004.4.3.327
In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.
Nearest neighbor and validity-based clustering
Son, Seo H. ; Seo, Suk T. ; Kwon, Soon H. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 337~340
DOI : 10.5391/IJFIS.2004.4.3.337
The clustering problem can be formulated as the problem to find the number of clusters and a partition matrix from a given data set using the iterative or non-iterative algorithms. The author proposes a nearest neighbor and validity-based clustering algorithm where each data point in the data set is linked with the nearest neighbor data point to form initial clusters and then a cluster in the initial clusters is linked with the nearest neighbor cluster to form a new cluster. The linking between clusters is continued until no more linking is possible. An optimal set of clusters is identified by using the conventional cluster validity index. Experimental results on well-known data sets are provided to show the effectiveness of the proposed clustering algorithm.
Optimal Design of a 2-Layer Fuzzy Controller Using the Schema Co-Evolutionary Algorithm
Byun, Kwang-Sub ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 341~346
DOI : 10.5391/IJFIS.2004.4.3.341
Nowadays, versatile robots are developed around the world. Novel algorithms are needed for controlling such robots. A 2-Layer fuzzy controller can deal with many inputs as well as many outputs, and its overall structure is much simpler than that of a general fuzzy controller. The main problem encountered in fuzzy control is the design of the fuzzy controller. In this paper, the fuzzy controller is designed by the schema co-evolutionary algorithm. This algorithm can quickly and easily find a global solution. Therefore, the schema co-evolutionary algorithm is used to design a 2-layer fuzzy controller in this study. We apply it to a mobile robot and verify the efficacy of the 2-layer fuzzy controller and the schema co-evolutionary algorithm through the experiments.
Study on Design of Fingerprint Recognition Embedded System using Neural Network
Kim, Dong Han ; Kim, Jung Hoon ; Lee, Sang Hae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 347~352
DOI : 10.5391/IJFIS.2004.4.3.347
We generated blocks from the direction-extracted fingerprint during the pre-process of the fingerprint recognition algorithm and performed training by using the direction minutiae of each block as the input pattern of the neural network, so that we extracted the core points to use in the matching. Based on this, we designed the fingerprint recognition embedded system and tested it by using the control board and the serial communication to utilize it for a variety of application systems. As a result, we can verify the reliance satisfactorily.
Task-Based Ontology of Problem Solving Adapters for Developing Intelligent Systems
Ko, Jesuk ; Kitjongthawonkul, Somkiat ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 353~360
DOI : 10.5391/IJFIS.2004.4.3.353
In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a humam solution (through activity-centered analysis) to a software solution (in form of computer-based artifact). TPSAs are derived from the problem solving pattern or consistent problem solving structures/strategies employed by practitioners while designing solutions to complex problems. The adapters developed by us lead toward human-centeredness in their design and underpinning that help us to address the pragmatic task constraints through a range of technologies like neural networks, fuzzy logic, and genetic algorithms. We also outline an example of applying the TPSAs to develop a working system for assisting sales engineers of an electrical manufacturing firm in preparing indent and monitoring the status of orders in the company.
Uncertain Rule-based Fuzzy Technique: Nonsingleton Fuzzy Logic System for Corrupted Time Series Analysis
Kim, Dongwon ; Park, Gwi-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 3, 2004, Pages 361~365
DOI : 10.5391/IJFIS.2004.4.3.361
In this paper, we present the modeling of time series data which are corrupted by noise via nonsingleton fuzzy logic system. Nonsingleton fuzzy logic system (NFLS) is useful in cases where the available data are corrupted by noise. NFLS is a fuzzy system whose inputs are modeled as fuzzy number. The abilities of NFLS to approximate arbitrary functions, and to effectively deal with noise and uncertainty, are used to analyze corrupted time series data. In the simulation results, we compare the results of the NFLS approach with the results of using only a traditional fuzzy logic system.