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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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Journal DOI :
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 Generalized Net Model on University Electronic Archives
Shannon, Anthony ; Daniela, Langova-Orozova ; Sotirova, Evdokia ; Atanassov, Krassimir ; Pedro, Melo-Pinto ; Kim, Tae-Kyun ; Jang, Lee-Chae ; Kang, Dong-Jin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 125~128
DOI : 10.5391/IJFIS.2004.4.2.125
Using the theory of Generalized Nets we have modelled the information exchange within the electronic archives of an idealized univerity Intranet.
A Modeling of XML Document Preserving Object-Oriented Concepts
Kim, Chang Suk ; Kim, Dae Su ; Son, Dong Cheul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 129~134
DOI : 10.5391/IJFIS.2004.4.2.129
XML is the new universal format for structured documents and data on the World Wide Web. As the Web becomes a major means of disseminating and sharing information and as the amount of XML data increases substantially, there are increased needs to manage and design such XML document in a novel yet efficient way. Moreover a demand of XML Schema(W3C XML Schema Spec.) that verifies XML document becomes increasing recently. However, XML Schema has a weak point for design because of its complication despite of various data and abundant expressiveness. Thus, it is difficult to design a complex document reflecting the usability, global and local facility and ability of expansion. This paper shows a simple way of modeling for XML document using a fundamental means for database design, the Entity-Relationship model. The design from the Entity-Relationship model to XML Schema can not be directly on account of discordance between the two models. So we present some algorithms to generate XML Schema from the Entity-Relationship model. The algorithms produce XML Schema codes using a hierarchical view representation. An important objective of this modeling is to preserve XML Schema's object-oriented concepts such as reusability, global and local ability. In addition to, implementation procedure and evaluation of the proposed design method are described.
A New Approach of BK products of Fuzzy Relations for Obstacle Avoidance of Autonomous Underwater Vehicles
Bui, Le-Diem ; Kim, Yong-Gi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 135~141
DOI : 10.5391/IJFIS.2004.4.2.135
This paper proposes a new heuristic search technique for obstacle avoidance of autonomous underwater vehicles equipped with a looking ahead obstacle avoidance sonar. We suggest the fuzzy relation between the sonar sections and the properties of real world environment. Bandler and Kohout's fuzzy relational method are used as the mathematical implementation for the analysis and synthesis of relations between the partitioned sections of sonar over the real-world environmental properties. The direction of the section with optimal characteristics would be selected as the successive heading of AUVs for obstacle avoidance. For the technique using in this paper, sonar range must be partitioned into multi equal sections; membership functions of the properties and the corresponding fuzzy rule bases are estimated heuristically. With the two properties Safety, Remoteness and sonar range partitioned in seven sections, this study gives the good result that enables AUVs to navigate through obstacles in the optimal way to goal.
A Study on Color Fuzzy Decision Algorithm in Video Object Segmentation
Byun, Oh-Sung ; Moon, Sung-Ryong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 142~148
DOI : 10.5391/IJFIS.2004.4.2.142
In this paper, we propose the color fuzzy decision algorithm to face segmentation in a color image. Our algorithm can segment without the user's interaction by fuzzy decision marking. And it removes small parts such as a noise using wavelet morphology in the image obtained by applying the fuzzy decision algorithm. Also, it merges and chooses the face region in each quantization image through rough sets. This video object division algorithm is shown to be superior to a conventional algorithm.
A Study on Design and Implementation of Speech Recognition System Using ART2 Algorithm
Kim, Joeng Hoon ; Kim, Dong Han ; Jang, Won Il ; Lee, Sang Bae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 149~154
DOI : 10.5391/IJFIS.2004.4.2.149
In this research, we selected the speech recognition to implement the electric wheelchair system as a method to control it by only using the speech and used DTW (Dynamic Time Warping), which is speaker-dependent and has a relatively high recognition rate among the speech recognitions. However, it has to have small memory and fast process speed performance under consideration of real-time. Thus, we introduced VQ (Vector Quantization) which is widely used as a compression algorithm of speaker-independent recognition, to secure fast recognition and small memory. However, we found that the recognition rate decreased after using VQ. To improve the recognition rate, we applied ART2 (Adaptive Reason Theory 2) algorithm as a post-process algorithm to obtain about 5% recognition rate improvement. To utilize ART2, we have to apply an error range. In case that the subtraction of the first distance from the second distance for each distance obtained to apply DTW is 20 or more, the error range is applied. Likewise, ART2 was applied and we could obtain fast process and high recognition rate. Moreover, since this system is a moving object, the system should be implemented as an embedded one. Thus, we selected TMS320C32 chip, which can process significantly many calculations relatively fast, to implement the embedded system. Considering that the memory is speech, we used 128kbyte-RAM and 64kbyte ROM to save large amount of data. In case of speech input, we used 16-bit stereo audio codec, securing relatively accurate data through high resolution capacity.
A Study on the Edge Enhancement of X-ray Images Generated by a Gas Electron Multiplier Chamber
Moon, B.S. ; Coster, Dan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 155~160
DOI : 10.5391/IJFIS.2004.4.2.155
In this paper, we describe the results of a study on the edge enhancement of X-ray images by using their fuzzy system representation. A set of gray scale X-ray images was generated using the EGS4 computer code. An aluminum plate or a lead plate with three parallel strips taken out has been used as the object with the thickness and the width of the plate, and the gap between the two strips varied. We started with a comparative study on a set of the fuzzy sets for their applicability as the input fuzzy sets for the fuzzy system representation of the gray scale images. Then we describe how the fuzzy system is used to sharpen the edges. Our algorithm is based on adding the magnitude of the gradient not to the pixel value of concern but rather to the nearest neighboring pixel in the direction of the gradient. We show that this algorithm is better in maintaining the spatial resolution of the original image after the edge enhancement.
Adaptive Fuzzy Control of Yo-yo System Using Neural Network
Lee, Seung-ha ; Lee, Yun-Jung ; Shin, Kwang-Hyun ; Bien, Zeungnam ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 161~164
DOI : 10.5391/IJFIS.2004.4.2.161
The yo-yo system has been introduced as an interesting plant to demonstrate the effectiveness of intelligent controllers. Having nonlinear and asymmetric characteristics, the yo-yo plant requires a controller quite different from conventional controllers such as PID. In this paper is presented an adaptive method of controlling the yo-yo system. Fuzzy logic controller based on human expertise is referred at first. Then, an adaptive fuzzy controller which has adaptation features against the variation of plant parameters is proposed. Finally, experimental results are presented.
Appearance Based Object Identification for Mobile Robot Localization in Intelligent Space with Distributed Vision Sensors
Jin, TaeSeok ; Morioka, Kazuyuki ; Hashimoto, Hideki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 165~171
DOI : 10.5391/IJFIS.2004.4.2.165
Robots will be able to coexist with humans and support humans effectively in near future. One of the most important aspects in the development of human-friendly robots is to cooperation between humans and robots. In this paper, we proposed a method for multi-object identification in order to achieve such human-centered system and robot localization in intelligent space. The intelligent space is the space where many intelligent devices, such as computers and sensors, are distributed. The Intelligent Space achieves the human centered services by accelerating the physical and psychological interaction between humans and intelligent devices. As an intelligent device of the Intelligent Space, a color CCD camera module, which includes processing and networking part, has been chosen. The Intelligent Space requires functions of identifying and tracking the multiple objects to realize appropriate services to users under the multi-camera environments. In order to achieve seamless tracking and location estimation many camera modules are distributed. They causes some errors about object identification among different camera modules. This paper describes appearance based object representation for the distributed vision system in Intelligent Space to achieve consistent labeling of all objects. Then, we discuss how to learn the object color appearance model and how to achieve the multi-object tracking under occlusions.
Application of Neural Inverse Modeling Scheme to Optimal Parameter Tuning of Filter Test Equipment
Kim, Sung-Ho ; Han, Yun-Jong ; Bae, Geum-Dong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 172~175
DOI : 10.5391/IJFIS.2004.4.2.172
Generally, the yield rate of semiconductors is the major factor that affects directly the price of semiconductors. For a high yield rate of semiconductors, the air inside clean room is needed to be purified and high efficient filters are used for this. The filter are made of super-fine fiber and certain pinholes can be easily produced on the filter's surface by inadvertent manufacturing. As these pinholes are not easily detected with the bare sight, these pinholes exert a negative impact to filtration performance of the filter. In this research, not only the automatic test equipment for detecting pinholes is proposed, but also inverse modeling scheme based on artificial neural network is applied for tuning of its important parameters.
Automatic Log-in System by the Speaker Certification
Sohn, Young-Sun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 176~181
DOI : 10.5391/IJFIS.2004.4.2.176
This paper introduces a Web site login system that uses user's native voice to improve the bother of remembering the ID and password in order to login the Web site. The DTW method that applies fuzzy inference is used as the speaker recognition algorithm. We get the ACC(Average Cepstrum Coefficient) membership function by each degree, by using the LPC that models the vocal chords, to block the recorded voice that is problem for the speaker recognition. We infer the existence of the recorded voice by setting on the basis of the number of zeros that is the value of the ACC membership function, and on the basis of the average value of the ACC membership function. We experiment the six Web sites for the six subjects and get the result that protects the recorded voice about 98% that is recorded by the digital recorder.
Compensation of a Squint Free Phased Array Antenna System using Artificial Neural Networks
Kim, Young-Ki ; Jeon, Do-Hong ; Park, Chiyeon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 182~186
DOI : 10.5391/IJFIS.2004.4.2.182
This paper describes an advanced compensation for non-linear functions designed to remove steering aberrations from phased array antennas. This system alters the steering command applied to the antenna in a way that the appropriate angle commands are given to the array steering software for the antenna to point to the desired position instead of squinting. Artificial neural networks are used to develop the inverse function necessary to correct the aberration. Also a straightforward antenna steering function is implemented with neural networks for the 9-term polynomials of forward steering function. In all cases the aberration is removed resulting in small RMS angular errors across the operational angle space when the actual antenna position is compared with the desired position. The use of neural network model provides a method of producing a non-linear system that can correct antenna performance and demonstrates the feasibility of generating an inverse steering algorithm.
Design Of Fuzzy Controller for the Steam Temperature Process in the Coal Fired Power Plant
Shin, Sang Doo ; Kim, Yi-Gon ; Lee, Bong Kuk ; Bae, Young Chul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 187~192
DOI : 10.5391/IJFIS.2004.4.2.187
In this paper, we proposed the method to design fuzzy controller using the experience of the operating expert and experimental numeric data for the robust control about the noise and disturbance instead of the traditional PID controller for the main steam temperature control of the thermal power plant. The temperature of main steam temperature process has to be controlled uniformly for the stable electric power output. The process has the problem of the hunting for the cases of various disturbances. In that case, the manual action of the operator happened to be introduced in some cases. We adopted the TSK (Takagi-Sugeno-Kang) model as the fuzzy controller and designed the fuzzy rules using the informations extracted directly from the real plant and various operating condition to solve the above problems and to apply practically. We implemented the real fuzzy controller as the Function Block module in the DCS(Distributed Control System) and evaluated the feasibility through the experimental results of the simulation.
Development of High-Performance FEM Modeling System Based on Fuzzy Knowledge Processing
Lee, Joon-Seong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 193~198
DOI : 10.5391/IJFIS.2004.4.2.193
This paper describes an automatic finite element (FE) mesh generation for three-dimensional structures consisting of tree-form surfaces. This mesh generation process consists of three subprocesses: (a) definition of geometric model, (b) generation of nodes, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Voronoi diagram method is introduced as a basic tool for element generation. Automatic generation of FE meshes for three-dimensional solid structures holds great benefits for analyses. Practical performances of the present system are demonstrated through several mesh generations for three-dimensional complex geometry.
Digital Control for Takagi-Sugeno Fuzzy System with Multirate Sampling
Kim, Do Wan ; Joo, Young Hoon ; Park, Jin Bae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 199~204
DOI : 10.5391/IJFIS.2004.4.2.199
In this paper, a new dual-rate digital control technique for the Takagi-Sugeno (T-S) fuzzy system is suggested. The proposed method takes account of the stabilizablity of the discrete-time T-S fuzzy system at the fast-rate sampling points. Our main idea is to utilize the lifted control input. The proposed approach is to obtain the dual-rate discrete-time T-S fuzzy system by discretizing the overall dynamics of the T-S fuzzy system with the lifted control, and then to derive the sufficient conditions for the stabilization in the sense of the Lyapunov asymptotic stability for this system. An example is provided for showing the feasibility of the proposed discretization method.
Efficient Extraction of Hierarchically Structured Rules Using Rough Sets
Lee, Chul-Heui ; Seo, Seon-Hak ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 205~210
DOI : 10.5391/IJFIS.2004.4.2.205
This paper deals with rule extraction from data using rough set theory. We construct the rule base in a hierarchical granulation structure by applying core as a classification criteria at each level. When more than one core exist, the coverage is used for the selection of an appropriate one among them to increase the classification rate and accuracy. In Addition, a probabilistic approach is suggested so that the partially useful information included in inconsistent data can be contributed to knowledge reduction in order to decrease the effect of the uncertainty or vagueness of data. As a result, the proposed method yields more proper and efficient rule base in compatability and size. The simulation result shows that it gives a good performance in spite of very simple rules and short conditionals.
Finding Fuzzy Rules for IRIS by Neural Network with Weighted Fuzzy Membership Function
Lim, Joon Shik ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 211~216
DOI : 10.5391/IJFIS.2004.4.2.211
Fuzzy neural networks have been successfully applied to analyze/generate predictive rules for medical or diagnostic data. However, most approaches proposed so far have not considered the weights for the membership functions much. This paper presents a neural network with weighted fuzzy membership functions. In our approach, the membership functions can capture the concentrated and essential information that affects the classification of the input patterns. To verify the performance of the proposed model, well-known Iris data set is performed. According to the results, the weighted membership functions enhance the prediction accuracy. The architecture of the proposed neural network with weighted fuzzy membership functions and the details of experimental results for the data set is discussed in this paper.
Implementation of communication system using signals originating from facial muscle constructions
Kim, EungSoo ; Eum, TaeWan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 217~222
DOI : 10.5391/IJFIS.2004.4.2.217
A person does communication between each other using language. But, In the case of disabled person, cannot communicate own idea to use writing and gesture. We embodied communication system using the EEG so that disabled person can do communication. After feature extraction of the EEG included facial muscle signals, it is converted the facial muscle into control signal, and then did so that can select character and communicate idea.
Improvement of LMCTS Position Accuracy using DR-FNN Controller
Lee, Jin Woo ; Suh, Jin Ho ; Lee, Young Jin ; Lee, Kwon Soon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 223~230
DOI : 10.5391/IJFIS.2004.4.2.223
In this paper, we will introduce a control strategy based on the permanent magnet linear synchronous motor (PMLSM) container transfer system using soft-computing algorithm. Linear motor-based container transport system (LMCTS) is horizontal transfer system for the yard automation, which has been proposed to take the place of automated guided vehicle in the maritime container terminal. LMCTS is considered as that the system is changed its model suddenly and variously by loading and unloading container. The proposed control system is consisted of two DR-FNNs that act the role of controller and system emulator. Consequently, the system had the predictable structure and an ability to adapt for a huge variation of rolling friction, detent force, and sudden changes of its weight by loading and unloading.
Negative Selection Algorithm for DNA Sequence Classification
Lee, Dong Wook ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 231~235
DOI : 10.5391/IJFIS.2004.4.2.231
According to revealing the DNA sequence of human and living things, it increases that a demand on a new computational processing method which utilizes DNA sequence information. In this paper we propose a classification algorithm based on negative selection of the immune system to classify DNA patterns. Negative selection is the process to determine an antigenic receptor that recognize antigens, nonself cells. The immune cells use this antigen receptor to judge whether a self or not. If one composes n group of antigenic receptor for n different patterns, they can classify into n patterns. In this paper we propose a pattern classification algorithm based on negative selection in nucleotide base level and amino acid level.
Recognition of 3D hand gestures using partially tuned composite hidden Markov models
Kim, In Cheol ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 236~240
DOI : 10.5391/IJFIS.2004.4.2.236
Stroke-based composite HMMs with articulation states are proposed to deal with 3D spatio-temporal trajectory gestures. The direct use of 3D data provides more naturalness in generating gestures, thereby avoiding some of the constraints usually imposed to prevent performance degradation when trajectory data are projected into a specific 2D plane. Also, the decomposition of gestures into more primitive strokes is quite attractive, since reversely concatenating stroke-based HMMs makes it possible to construct a new set of gesture HMMs without retraining their parameters. Any deterioration in performance arising from decomposition can be remedied by a partial tuning process for such composite HMMs.
Tangible Media based on Interactive Technology: A Tutorial
Yoon, Joongsun ; Yoh, Myeungsook ; Lee, Hyewon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 241~248
DOI : 10.5391/IJFIS.2004.4.2.241
Recent paradigm in technology shifts from object-based technology to environment-based technology. Issue here is interaction among humans and the world around humans. The world we consider includes natural and artificial "space." Interactive technology, which explore holistic interactions based on "Mom (embodiment)," suggests a good starting point for exploring this issue. Soft engineering, "Mom," holistic interactions, tangible space, ubiquitous computing, science of emotion, and interactive media are key concepts in interactive technology. Interactive tangible media "iT_Media" is proposed to explore and synthesize these ideas. Interactive technology initiative (ITI) is an interdisciplinary research group to search for the proper technology and the proper way of implementing technology: "interactive technology" or "soft engineering." Some experimental activities conducted by ITI are presented in this paper.tal activities conducted by ITI are presented in this paper.
The Classification of the Software Quality by the Rough Tolerance Class
Choi, Wan-Kyoo ; Lee, Sung-Joo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 249~253
DOI : 10.5391/IJFIS.2004.4.2.249
When we decide the software quality on the basis of the software measurement, the transitive property which is a requirement for an equivalence relation is not always satisfied. Therefore, we propose a scheme for classifying the software quality that employs a tolerance relation instead of an equivalence relation. Given the experimental data set, the proposed scheme generates the tolerant classes for elements in the experiment data set, and generates the tolerant ranges for classifying the software quality by clustering the means of the tolerance classes. Through the experiment, we showed that the proposed scheme could product very useful and valid results. That is, it has no problems that we use as the criteria for classifying the software quality the tolerant ranges generated by the proposed scheme.
The Performance Improvement of Speech Recognition System based on Stochastic Distance Measure
Jeon, B.S. ; Lee, D.J. ; Song, C.K. ; Lee, S.H. ; Ryu, J.W. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 4, issue 2, 2004, Pages 254~258
DOI : 10.5391/IJFIS.2004.4.2.254
In this paper, we propose a robust speech recognition system under noisy environments. Since the presence of noise severely degrades the performance of speech recognition system, it is important to design the robust speech recognition method against noise. The proposed method adopts a new distance measure technique based on stochastic probability instead of conventional method using minimum error. For evaluating the performance of the proposed method, we compared it with conventional distance measure for the 10-isolated Korean digits with car noise. Here, the proposed method showed better recognition rate than conventional distance measure for the various car noisy environments.