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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 14, Issue 7 - Dec 2004
Volume 14, Issue 6 - Oct 2004
Volume 14, Issue 5 - Aug 2004
Volume 14, Issue 4 - Jul 2004
Volume 14, Issue 2 - Apr 2004
Volume 14, Issue 1 - Feb 2004
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Cluster Merging Using Enhanced Density based Fuzzy C-Means Clustering Algorithm
Han, Jin-Woo ; Jun, Sung-Hae ; Oh, Kyung-Whan ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 517~524
DOI : 10.5391/JKIIS.2004.14.5.517
The fuzzy set theory has been wide used in clustering of machine learning with data mining since fuzzy theory has been introduced in 1960s. In particular, fuzzy C-means algorithm is a popular fuzzy clustering algorithm up to date. An element is assigned to any cluster with each membership value using fuzzy C-means algorithm. This algorithm is affected from the location of initial cluster center and the proper cluster size like a general clustering algorithm as K-means algorithm. This setting up for initial clustering is subjective. So, we get improper results according to circumstances. In this paper, we propose a cluster merging using enhanced density based fuzzy C-means clustering algorithm for solving this problem. Our algorithm determines initial cluster size and center using the properties of training data. Proposed algorithm uses grid for deciding initial cluster center and size. For experiments, objective machine learning data are used for performance comparison between our algorithm and others.
Implementation of Real-Time Bilateral Control of Fuzzy Robot Hand using Analytic Hierachy Process
Jin, Hyun-Soo ; Hong, Yoo-Sik ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 525~532
DOI : 10.5391/JKIIS.2004.14.5.525
Telemanipulator is distingushed from industrial robot by iterating same specified work. Manipulator operator is included in control loop for controlling the telemanipulator because he decide directly during the work and order controllabily. We implement fuzzy controller for reducing the modelling error of telemanipulator which depend on the PID controller. But position-force control method of bidirectional control impose unsafety of vibiration and Analytic Hierchy method can stabilize for reducing nonlinear modelling error by expert operator because of transformation empirical control rule to linear model.
Neuro-Fuzzy Model based Electrical Load Forecasting System: Hourly, Daily, and Weekly Forecasting
Park, Yong-Jin ; Wang, Bo-Hyeun ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 533~538
DOI : 10.5391/JKIIS.2004.14.5.533
This paper proposes a systematic method to develop short-term electrical load forecasting systems using neuro-fuzzy models. The proposed system predicts the electrical loads with the lead times of 1 hour, 24 hour, and 168 hour. To do so, the load forecasting system first builds an initial structure off-line for each hour of four day types and then stores the resultant initial structures in the initial structure bank. 96 initial structures are constructed for each prediction lead time. Whenever a prediction needs to be made, the proposed system initializes the neuro-fuzzy model with the appropriate initial structure stored and trains the initialized prediction modell. To improve the performance of the prediction system in terms of accuracy and reliability at the same time, the prediction model employs only two inputs. It makes possible to interpret the fuzzy rules to be learned. In order to demonstrate the viability of the proposed method, we develop a load forecasting system by using the real load data collected during 1996 and 1997 at KEPCO. Simulation results reveal that the prediction system developed in this paper can achieve a remarkable improvement on both accuracy and reliability
Visual Object Tracking based on Particle Filters with Multiple Observation
Koh, Hyeung-Seong ; Jo, Yong-Gun ; Kang, Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 539~544
DOI : 10.5391/JKIIS.2004.14.5.539
We investigate a visual object tracking algorithm based upon particle filters, namely CONDENSATION, in order to combine multiple observation models such as active contours of digitally subtracted image and the particle measurement of object color. The former is applied to matching the contour of the moving target and the latter is used to independently enhance the likelihood of tracking a particular color of the object. Particle filters are more efficient than any other tracking algorithms because the tracking mechanism follows Bayesian inference rule of conditional probability propagation. In the experimental results, it is demonstrated that the suggested contour tracking particle filters prove to be robust in the cluttered environment of robot vision.
Web-based Research Assistant Tools for Analysis of Microbial Diversity
Kang, Byeong-Chul ; Kim, Hyun-Jin ; Park, Jun-Hyung ; Park, Hee-Kyung ; Kim, Cheol-Min ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 545~550
DOI : 10.5391/JKIIS.2004.14.5.545
The study of available genotypes (biodiversity analysis) in bacterial communities is of growing importance in several fields such as ecology, environmental technology, clinical diagnostics, etc. These culture-independent genotyping techniques, especially amplifying 16S rRNA genes, attempt to overcome some shortcomings of conventional cultivation method. Biodiversity analysis based on molecular technique were laborious for base-calling chromatogram, trimming primer sites, correcting strand directions, electing representative operation taxonomic units (OTU), etc. Also, biologists wanted intuitively to confirm results of the above processes. For making up these demands, we developed the web application based on Folder-Process-Filter (FPF) modeling with correspondence to classical Model-View-Controller model. The model of web application leads to keep virtues of simplicity and directness for development and management of the stepwise web interfaces. The web application was developed in Perl and CGI on Linux workstation. It can be freely accessed from http://home.pusan.ac.kr/～genome/tools/rat.htm.
Classification of DNA Pattern Using Negative Selection
Sim, Kwee-Bo ; Lee, Dong-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 551~556
DOI : 10.5391/JKIIS.2004.14.5.551
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.
Robust Mixed H
Filter Design for Uncertain Fuzzy Systems
Yoo, Seog-Hwan ; Choi, Byung-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 557~562
DOI : 10.5391/JKIIS.2004.14.5.557
This paper deals with a robust mixed
filter design problem for a nonlinear dynamic system modeled as a T-S fuzzy system. Integral quadratic constraints are used to describe various kinds of uncertainties of the plant. A sufficient condition for solvability is given in terms of linear matrix inequality problem which can be efficiently solved using a convex optimization technique. In order to demonstrate the Proposed method, a numerical design example is provided.
A Comparative Study of Precedence-Preserving Genetic Operators in Sequential Ordering Problems and Job Shop Scheduling Problems
Lee, Hye-Ree ; Lee, Keon-Myung ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 563~570
DOI : 10.5391/JKIIS.2004.14.5.563
Genetic algorithms have been successfully applied to various optimization problems belonging to NP-hard problems. The sequential ordering problems(SOP) and the job shop scheduling problems(JSP) are well-known NP-hard problems with strong influence on industrial applications. Both problems share some common properties in that they have some imposed precedence constraints. When genetic algorithms are applied to this kind of problems, it is desirable for genetic operators to be designed to produce chromosomes satisfying the imposed precedence constraints. Several genetic operators applicable to such problems have been proposed. We call such genetic operators precedence-preserving genetic operators. This paper presents three existing precedence-preserving genetic operators: Precedence -Preserving Crossover(PPX), Precedence-preserving Order-based Crossover (POX), and Maximum Partial Order! Arbitrary Insertion (MPO/AI). In addition, it proposes two new operators named Precedence-Preserving Edge Recombination (PPER) and Multiple Selection Precedence-preserving Order-based Crossover (MSPOX) applicable to such problems. It compares the performance of these genetic operators for SOP and JSP in the perspective of their solution quality and execution time.
Delay-dependent Fuzzy H
Controller Design for Delayed Fuzzy Dynamic Systems
Lee, Kap-Rai ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 571~576
DOI : 10.5391/JKIIS.2004.14.5.571
This paper presents a delay dependent fuzzy
controller design method for delayed fuzzy dynamic systems. Using delay-dependent Lyapunov function, the global exponential stability and
performance problem arc discussed. A sufficient conditions for the existence of fuzzy controller is presented in terms of linear matrix inequalities(LMIs). A simulation example is given to illustrate the design procedures and performances of the proposed methods.
Position Estimation of Wheeled Mobile Robot in a Corridor Using Neural Network
Choi, Kyung-Jin ; Lee, Young-Hyun ; Park, Chong-Kug ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 577~582
DOI : 10.5391/JKIIS.2004.14.5.577
This paper describes position estimation algorithm using neural network for the navigation of the vision-based Wheeled Mobile Robot (WMR) in a corridor with taking ceiling lamps as landmark. From images of a corridor the lamp's line on the ceiling in corridor has a specific slope to the lateral position of the WMR. The vanishing point produced by the lamp's line also has a specific position to the orientation of WMR. The ceiling lamps has a limited size and shape like a circle in image. Simple image processing algorithms are used to extract lamps from the corridor image. Then the lamp's line and vanishing point's position are defined and calculated at known position of WMR in a corridor To estimate the lateral position and orientation of WMR from an image, the relationship between the position of WMR and the features of ceiling lamps have to be defined. Data set between position of WMR and features of lamps are configured. Neural network are composed and teamed with data set. Back propagation algorithm(BPN) is used for learning. And it is applied in navigation of WMR in a corridor.
Signal Detection for Pattern Dependent Noise Channel
Jeon, Tae-Hyun ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 583~586
DOI : 10.5391/JKIIS.2004.14.5.583
Transition jitter noise is one of major sources of detection errors in high density recording channels. Implementation complexity of the optimal detector for such channels is high due to the data dependency and correlated nature of the jitter noise. In this paper, two types of hardware efficient sub-optimal detectors are derived by modifying branch metric of Viterbi algorithm and applied to partial response (PR) channels combined with run length limited modulation coding. The additional complexity over the conventional Viterbi algorithm to incorporate the modified branch metric is either a multiplication or an addition for each branch metric in the Viterbi trellis.
Real-Time Rule-Based System Architecture for Context-Aware Computing
Lee, Seung-Wook ; Kim, Jong-Tae ; Sohn, Bong-Ki ; Lee, Keon-Myung ; Cho, Jun-Dong ; Lee, Jee-Hyung ; Jeon, Jae-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 587~592
DOI : 10.5391/JKIIS.2004.14.5.587
Context-aware computing systems require real-time context reasoning process for context awareness. Context reasoning can be done by comparing input information from sensors with knowledge-base within system. This method is identical with it of rule-based systems. In this paper, we propose hardware rule-based system architecture which can process context reasoning in real-time. Compared to previous architecture, hardware rule-based system architecture can reduce the number of constraints on rule representations and combinations of condition terms in rules. The modified content addressable memory, crossbar switch network and pre-processing module are used for reducing constraints. Using SystemC for description can provide easy modification of system configuration later.
Design of Intelligent Fuzzy Controller for Nonlinear System Using Genetic Algorithm
Kim, Moon-Hwan ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 593~597
DOI : 10.5391/JKIIS.2004.14.5.593
This paper presents the new design method of fuzzy control system for nonlinear system. Many conventional design methods for fuzzy controller find the control gain for stabilizing fuzzy controller with some mathematical approaches. However, there exist some controllers which are hard to design with mathematical approach. In order to solve these problems, we propose the intelligent design method for fuzzy controller by using genetic algorithm with evolution strategy. The genetic algorithm with evolution strategy finds the control gain by changing the evolution region of chromosome. Finally, an application example of stabilizing a cart-pole typed inverted pendulum system will be given to show the stabilizability of the fuzzy controller.
Design of a GA-Based Fuzzy PID Controller for Optical Disk Drive
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 598~603
DOI : 10.5391/JKIIS.2004.14.5.598
An optical head actuator of an optical disk drive consists of two servo mechanisms for the focusing and the tracking to acquire data from disk. As the rotational speed of the disk grows, the utilized lag-lead-lead compensator has known to be above its ability for precisely controlling the optical head actuator. To overcome the difficulty, this paper propose a new controller design method for optical head actuator based fuzzy proportional-integral-derivative (PID) control and the genetic algorithm(GA). It employs a two-stage control structure with a fuzzy PI and a fuzzy PD control and is optimized by the GA to yield the suboptimal fuzzy PID control performance. It is shown the feasibility of the proposed method through a numerical tracking actuator simulation.
Development of an Embedded System for Ship선s Steering Gear using Voice Recognition Module
Park, Gyei-Kark ; Seo, Ki-Yeol ; Hong, Tae-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 604~609
DOI : 10.5391/JKIIS.2004.14.5.604
Recently, various studies had been made for automatic control system of small ships, in order to improve maneuvering and to reduce labor and working on board. To achieve efficient operation of small ships, it had been accomplished to rapid development of automatic technique, but the ship operation had been more complicated because of the need to handle various gauges and instruments. To solve these problems, there are examples to be applied to the speech information processing technologies which is one of the human interface methods in the system operation of ship, but the implementation of definite system is still incomplete. Therefore, the purpose of this paper is to implement the control system for ship steering using the voice recognition module.
Autonomous Bipedal Locomotion with Evolutionary Algorithm
Ok, Soo-Youl ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 610~616
DOI : 10.5391/JKIIS.2004.14.5.610
In the research of biomechanical engineering, robotics and neurophysiology, to clarify the mechanism of human bipedal walking is of major interest. It serves as a basis of developing several applications such as rehabilitation tools and humanoid robots. Nevertheless, because of complexity of the neuronal system that interacts with the body dynamics system to make walking movements, much is left unknown about the details of locomotion mechanism. Researchers were looking for the optimal model of the neuronal system by trials and errors. In this paper, we applied Genetic Programming to induce the model of the nervous system automatically and showed its effectiveness by simulating a human bipedal walking with the obtained model.
Face Detection Algorithm Using Pulse-Coupled Neural Network in Color Images
Lim, Young-Wan ; Na, Jin-Hee ; Choi, Jin-Young ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 617~622
DOI : 10.5391/JKIIS.2004.14.5.617
In this work, we suggested the method which improves the efficiency of the face detection algorithm using Pulse-Coupled Neural Network. Face detection algorithm which uses the color information is independent on pose, size and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise, and so on. Depending on these conditions, we obtained the mean and variance of the skin-tone colors by experiments. Then we introduce a preprocess that the pixel with a mean value of skin-tone colors has highest level value (255) and the other pixels in the skin-tone region have values between 0 and 255 according to a normal distribution with a variance. This preprocess leads to an easy decision of the linking coefficient of Pulse-Coupled Neural Network.
A Efficient Image Separation Scheme Using ICA with New Fast EM algorithm
Oh, Bum-Jin ; Kim, Sung-Soo ; Kang, Jee-Hye ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 623~629
DOI : 10.5391/JKIIS.2004.14.5.623
In this paper, a Efficient method for the mixed image separation is presented using independent component analysis and the new fast expectation-maximization(EM) algorithm. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing scheme in various applications. However, it has been known that ICA does not establish good performance in source separation by itself. So, Innovation process which is one of the methods that were employed in image separation using ICA, which produces improved the mixed image separation. Unfortunately, the innovation process needs long processing time compared with ICA or EM. Thus, in order to overcome this limitation, we proposed new method which combined ICA with the New fast EM algorithm instead of using the innovation process. Proposed method improves the performance and reduces the total processing time for the Image separation. We compared our proposed method with ICA combined with innovation process. The experimental results show the effectiveness of the proposed method by applying it to image separation problems.
A Study on the Design of a Biologizing Control System
Park, Byung-Jae ; Wang, Paul P. ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 630~634
DOI : 10.5391/JKIIS.2004.14.5.630
According to the progress of an information-oriented society, more human friendly systems are required. The systems can be implemented by a kind of intelligent algorithms. In this paper we propose the possibility of the implementation of an intelligent algorithm from gene, behavior of human beings, which has some properties such as self organization and self regulation. The regulation of gene behavior is widely analyzed by Boolean network. Also the SORE (Self Organizable and Regulating Engine) is one of those algorithms. This paper does not report detailed research results; rather, it studies the feasibility of gene behavior in biocontrol systems based upon computer simulations.
Evolution of a Robotic Cane
Yoon, Joong-Sun ; Kim, Jin-Young ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 635~641
DOI : 10.5391/JKIIS.2004.14.5.635
A human-friendly interactive system that is based on the harmonious symbiotic coexistence of human and robots is explored. Based on interactive technology paradigm, a robotic cane is proposed for blind or visually impaired travelers to navigate safely and quickly through obstacles and other hazards faced by blind pedestrians. Robotic aids, such as robotic canes, require cooperation between human and robots. Various methods for implementing the appropriate cooperative recognition, planning, and acting, have been investigated. The issues discussed include the interaction of human and robot, design issues of an interactive robotic cane, and behavior arbitration methodologies for navigation planning.
Measure of Fuzziness with fuzzy entropy function
Lee, Sang-Hyuk ; Kang, Keum-Boo ; Kim, Sung shin ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 642~647
DOI : 10.5391/JKIIS.2004.14.5.642
The relations of fuzzy entropy, distance measure, and similarity measure are discussed in this paper. For the purpose of reliable signal selection, the fuzzy entropy is proposed by a distance measure. Properness of the proposed entropy is verified by the definition of the entropy measure. Fourier and Wavelet transform are applied to the stator current signal to obtain the fault features of an induction motor. Membership functions for 3-phase currents are obtained by the Bootstrap method and Central Limit Theorem. Finally, the proposed entropy is applied to measure the fault signal of an induction machine, and the fuzzy entropy values of phase currents are illustrated.
Implementation of Fuzzy Controller for MFC
Lee, Seok-Ki ; Lee, Yun-Jung ; Lee, Seung-Ha ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 648~654
DOI : 10.5391/JKIIS.2004.14.5.648
The Mass Flow Controller(MFC) has become crucial in semiconductor manufacturing equipments. It is an important element because the quality and the yield of a semiconductor process are decided by the accurate flow control of gas. Therefore, the demand for implementing the high speed and the highly accurate control of MFCs has been increasing. It is hard to find an article of the control algorithm applied to MFCs. But, it is known that commercially available MFCs adopt PID control algorithms. Particularly, when the system detects the flow by way of heat transfer, the MFC control problem includes the slow response and the nonlinearity. In this paper, MFC control algorithm with a superior performance to the conventional PID algorithm is discussed and the superiority is demonstrated through the experiment. A fuzzy controller was utilized in order to compensate the nonlinearity and the slow response, and the performance is compared with that of an MFC currently available in the market. The control system, in this paper, consists of a personal computer, the data acquisition board and the control algorithm carried out by LabWindows/CVI program on the PC. In addition, a method of estimating the actual flow from the sensor output with the slow response is presented. In conclusion, according to the result of the experiment, the proposed algorithm shows better accuracy and is faster than the conventional controller.
Selection of data set with fuzzy entropy function
Lee, Sang-Hyuk ; Cheon, Seong-Pyo ; Kim, Sung shin ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 655~659
DOI : 10.5391/JKIIS.2004.14.5.655
In this literature, the selection of data set among the universe set is carried out with the fuzzy entropy function. By the definition of fuzzy entropy, the fuzzy entropy function is proposed and the proposed fuzzy entropy function is proved through the definition. The proposed fuzzy entropy function calculate the certainty or uncertainty value of data set, hence we can choose the data set that satisfying certain bound or reference. Therefore the reliable data set can be obtained by the proposed fuzzy entropy function. With the simple example we verify that the proposed fuzzy entropy function select reliable data set.
The Design of Genetically Optimized Multi-layer Fuzzy Neural Networks
Park, Byoung-Jun ; Park, Keon-Jun ; Lee, Dong-Yoon ; Oh, Sung-Kwun ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 5, 2004, Pages 660~665
DOI : 10.5391/JKIIS.2004.14.5.660
In this study, a new architecture and comprehensive design methodology of genetically optimized Multi-layer Fuzzy Neural Networks (gMFNN) are introduced and a series of numeric experiments are carried out. The gMFNN architecture results from a synergistic usage of the hybrid system generated by combining Fuzzy Neural Networks (FNN) with Polynomial Neural Networks (PNN). FNN contributes to the formation of the premise part of the overall network structure of the gMFNN. The consequence part of the gMFNN is designed using PNN. The optimization of the FNN is realized with the aid of a standard back-propagation learning algorithm and genetic optimization. The development of the PNN dwells on the extended Group Method of Data Handling (GMDH) method and Genetic Algorithms (GAs). To evaluate the performance of the gMFNN, the models are experimented with the use of a numerical example.