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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 11, Issue 9 - Dec 2001
Volume 11, Issue 8 - Dec 2001
Volume 11, Issue 7 - Dec 2001
Volume 11, Issue 6 - Dec 2001
Volume 11, Issue 5 - Oct 2001
Volume 11, Issue 4 - Aug 2001
Volume 11, Issue 3 - Jun 2001
Volume 11, Issue 2 - Apr 2001
Volume 11, Issue 1 - Feb 2001
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Adaptive Structure of Wavelet Neural Network with Geometric Growing Criterion
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 449~453
In this paper, we propose an algorithm to design the adaptive structure of wavelet neural network with F-projection and geometric growing criterion. Geometric growing criterion consists of estimated error criterion considering local error and angle criterion which attempts to assign a wavelet function that is nearly orthogonal to all other existing wavelet functions. These criteria provide a methodology that a network designer can construct wavelet neural network according to one's intention. We apply the proposed constructing algorithm of the adaptive structure of wavelet neural network to approximation problems of 1-D and 2-D function, and evaluate the effectiveness of the proposed algorithm.
An edge detection method for gray scale images based on their fuzzy system representation
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 454~458
Based on a fuzzy system representation of gray scale images, we derive and edge detection algorithm whose convolution kernel is different from the known kernels such as those of Robert's Prewitt's or Sobel's gradient. Our fuzzy system representation is an exact representation of the bicubic spline function which represents the gray scale image approximately. Hence the fuzzy system is a continuous function and it provides a natural way to define the gradient and the Laplacian operator. We show that the gradient at grid points can be evaluated by taking the convolution of the image with a 3
3 kernel. We also that our gradient coupled with the approximate value of the continuous function generates an edge detection method which creates edge images clearer than those by other methods. A few examples of applying our methods are included.
Stochastic Stabilization of TS Fuzzy System with Markovian Input Delay
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 459~464
This paper discusses a stochastic stabilization of Takagi-Sugeno(TS) fuzzy system with Markovian input delay. The finite Markovian process is adopted to model the input delary of the overall control system. It is assumed that the zero and hold devices are used for control input. The continuous-time TS fuzzy system with the Markovian input delay is discretized for easy handling delay, according, the discretized TS fuzzy system is represented by a discrete-time TS fuzzy system with jumping parameters. The stochastic stabilizibility of the jump TS fuzzy system is derived and formulated in terms of linear matrix inequalities (LNIS)
A Study on Optimal Solution of Short Shot Using Modular Fuzzy Logic Based Neural Network (MENN)
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 465~469
In injection molding short shot is one of the frequent and fatal defects. Experts of Injection molding usually adjust process conditions such as injection time, mold temperature, and melt temperature because it is most economic way in time and cost. However, it is difficult task to find appropriate process conditions for troubleshooting of short shot as injection molding process is a highly nonlinear system and process conditions are coupled. In this paper, a modular fuzzy neural network (MFNN) has been applied to injection molding process to shorten troubleshooting time of short shot. Based on melt temperature and fill time, a reasonable initial mo이 temperature is recommenced by the NFNN, and then the mold temperature is inputted to injection molding process. Depending on injection molding result, specifically the insufficient quantity of an injection molded part. and appropriate mold temperature is recommend repeatedly through the NFNN.
Path Planning and Obstacle Avoidance for Mobile Robot with Vision System Using Fuzzy Rules
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 470~476
This paper presents a new algorithm of path planning and obstacle avoidance for autonomous mobile robots with vision system that is working in unknown environments. Distance variation technique is used in path planning to approach the target and avoid obstacles in work space as well . In this approach, the Sobel operator is employed to detect edges of obstacles and the distances between the mobile robot and the obstacles are measured. Fuzzy rules are used for trajectory planning and obstacle avoidance to improve the autonomy of mobile robots. It is shown by computer simulation that the proposed algorithm is superior to the vector field approach which sometimes traps the mobile robot into some local obstacles. An autonomous mobile robot with single vision is developed for experiments. We also show that the developed mobile robot with the proposed algorithm is navigating very well in complex unknown environments.
Design of Robust Fuzzy Controllers via Inverse Optimal Approach
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 477~486
In this paper , we study the problem of designing TS(Takagi-Sugeno) fuzzy controllers for the systems that can be approximated or represented by the TS fuzzy model. The main strategy used in this paper is the inverse optimal approach, in which the cost function is determined later than the Lyapunov function and its corresponding control input satisfying the design requirements such as stability, decay rate, and robustness against uncertainty. This approach is useful because it yields controllers satisfying the inherent robustness of optimal controllers as well as the considered design goals. The design procedures established in this paper are all in the from of solving LMIs(Iinear matrix inequalities). Since the LMIs arising in the design procedures can be solved within a given tolerance by the interior point methods. the design method of the paper are efficient in practice. The applicability of the proposed design procedures is demonstrated by design examples.
Cursor Control by the Finger Moton Using Circular Pattern Vector Algorithm
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 487~490
In this paper, we realize a system that moves a cursor with a finger using the circular pattern vector algorithm that in one of the image analysis algorithms. To apply this algorithm, we use central point of the biggest circle among the various circles that recognize the image of the hand , and find out the pointing finger by looking for the distance of the outline of the hand from the central point. The horizontal direction of the cursor on the display is controlled by converting the direction of the pointing finger to the analysis of the plane corrdinate. Because of setting up only one camera of the upper, the middle and the lower discretely. On account of the discrete movement of the cursor of the vertical direction, we move th cursor to the objective, which the user wants. by expanding the local are to the whole area.
Nonlinear System Modeling Using Genetic Algorithm and FCM-basd Fuzzy System
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 491~499
In this paper, the scheme of an efficient fuzzy rule generation and fuzzy system construction using GA(genetic algorithm) and FCM(fuzzy c-means) clustering algorithm is proposed for TSK(Takagi-Sugeno-Kang) type fuzzy system. In the structure identification, input data is transformed by PCA(Principal Component Analysis) to reduce the correlation among input data components. And then, a set fuzzy rules are generated for a given criterion by FCM clustering algorithm . In the parameter identification premise parameters are optimally searched by GA. On the other hand, the consequent parameters are estimated by RLSE(Recursive Least Square Estimate) to reduce the search space. From this one can systematically obtain the valid number of fuzzy rules which shows satisfying performance for the given problem. Finally, we applied the proposed method to the Box-Jenkins data and rice taste data modeling problems and obtained a better performance than previous works.
Parameter Extraction of InGaP/GaAs HBT Small-Signal Equivalent Circuit Using a Genetic Algorithm
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 500~504
The present approach based on the genetic algorithm with improved selections of bonds was adopted to extract a bridged T equivalent circuit elements of
InGaP/GaAs HBT. the small-signal model parameters were extracted using the genetic algorithm from S-parameters measured at different frequencies under multiple forward-active biases, which demonstrate physically meaningful values and consistency. The agreement between the measured and modeled S-parameters is excellent over the frequency range of 2 to 26.5GHz.
Learning Ability of Deterministic Boltzmann Machine with Non-Monotonic Neurons in Hidden Layer
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 505~509
In this paper, we evaluate the learning ability of non-monotonic DMM(Deterministic Boltzmann Machine) network through numerical simulations. The simulation results show that the proposed system has higher performance than monotonic DBM network model. Non-monotonic DBM network also show an interesting result that network itself adjusts the number of hidden layer neurons. DBM network can be realized with fewer components than other neural network models. These results enhance the utilization of non-monotonic neurons in the large scale integration of neuro-chips
Analyzing the element of emotion recognition from speech
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 510~515
Generally, there are (1)Words for conversation (2)Tone (3)Pitch (4)Formant frequency (5)Speech speed, etc as the element for emotional recognition from speech signal. For human being, it is natural that the tone, vice quality, speed words are easier elements rather than frequency to perceive other s feeling. Therefore, the former things are important elements fro classifying feelings. And, previous methods have mainly used the former thins but using formant is good for implementing as machine. Thus. our final goal of this research is to implement an emotional recognition system based on pitch, formant, speech speed, etc. from speech signal. In this paper, as first stage we foun specific features of feeling angry from his words when a man got angry.
Position Sensorless Cotrol of SRM using Evolutionary Sliding
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 516~523
This paper introduces a indirect rotor position and speed estimation algorithm for the SRM(switched reluctance motor) sensorless control based on the sliding mode observer and evolutionary programming The information of position and speed is generally provided by encoder or resolve. However, the position sensor not only adds complexity, cost and size to the whole drive system, but also causes limitation for industrial applications. In this paper, in order to eliminate the position sensor, indirect position sensing, indirect position sensing method using sliding mode observer is used for SRM drives. But if sliding mode observer parameters are selected to be large, the corresponding rapid changes of estimated position and velocity result in chattering phenomenon. Therefore in order to reduce the chattering, this observer parameters are optimized by evolutionary programming. And PID controller is also optimized to track precisely for the SRM using evolutionary programming.
Collision Risk Decistion System for Collision Avoidance
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 524~527
In this paper we propose a collision risk decision system for collision avoidance system A collision avoidance system carries out collision avoidance based on collision risk of unknown obstacle. In the traditional researches, using DCPA and TCPA for calculating the collision risk has problem that they produce a same collision risk for ship which located in the given distance. The solves the problem we use DCPA, TCPA, and VCD for calculating collision risk. A proposed system has two advantages that is produce more detailed collision risk and reflects the international Regulations for Preventing Collision at Sea.
Shortest Path Problem in a Type-2 Fuzzy Weighted Graph
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 528~531
Finding a shortest path on a graph is a fundamental problem in the area of graph theory. In an application where we cannot exactly determine the weights of edges fuzzy weights can be used instead of crisp weights. and Type-2 fuzzy weight will be more suitable of this uncertainty varies under some conditions. In this paper, shortest path problem in type-1 fuzzy weighted graphs is extended for type 2 fuzzy weighted graphes. A solution is also given based on possibility theory and extension principle.
On Fuzzy Qoutient Spaces
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 532~537
In this paper we introduce the concept of fuzzy quotient spaces as the new ways and investigate their some properties.
Global Optimum Searching Technique Using DNA Coding and Evolutionary Computing
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 538~542
DNA computing has been applied to the problem of getting an optimal soluting since Adleman's experiment. DNA computing uses strings with various length and four-type bases that makes more useful for finding a global optimal solutions of the complex multi-modal problems This paper presents DNA coding method finding optimal solution of the multi-modal function and compares the efficiency of this method with the genetic algorithms(GA). GA searches efffectively an optimal solution via the artificial evolution of individual group of binary string and DNA coding method uses DNA molecules and four-type bases denoted by the A(Ademine) C(Gytosine);G(Guanine)and T(Thymine). The selection, crossover, mutation operators are applied to both DNA coding algorithm and genetic algorithms and the comparison has been performed. The results show that the DNA based algorithm performs better than GA.
Design and Implementation of Multi Platform Wire.Wireless Messaging System Using J2ME
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 543~548
In the case of mobile internet service using WAP it was connected to http protocol using WAP Gateway, So users take increased cost of mobile internet service. And it was generated inner security problem because it watched user information in the WAP Gateway. To solve this problem we use java language Which is independant of platform and low cost and intensely security an downloadable application. Additional , Using socket connection. Wire.Wireless Messaging system(WWMS) will connect real time between PC-Client and Mobile-Client, Mobile-Client and Mobile-Client, and so on. In this paper, as design and implementation of multi-platform wire.wireless messaging use J2Me. It will be foundation do develop various mobile application in the future.
A Machine Learning Approach to Korean Language Stemming
Cho, Se-hyeong ;
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 549~557
Morphological analysis and POS tagging require a dictionary for the language at hand . In this fashion though it is impossible to analyze a language a dictionary. We also have difficulty if significant portion of the vocabulary is new or unknown . This paper explores the possibility of learning morphology of an agglutinative language. in particular Korean language, without any prior lexical knowledge of the language. We use unsupervised learning in that there is no instructor to guide the outcome of the learner, nor any tagged corpus. Here are the main characteristics of the approach: First. we use only raw corpus without any tags attached or any dictionary. Second, unlike many heuristics that are theoretically ungrounded, this method is based on statistical methods , which are widely accepted. The method is currently applied only to Korean language but since it is essentially language-neutral it can easily be adapted to other agglutinative languages.
An Approximated Reasoning with Compensation
Kim, Chang-Suk ; Kim, Dae-Su ;
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 558~562
In this paper, a fuzzy hyperresolution principle called CFHR. Compensatory Fuzzy Hyperresolution, with positive compensation facility is proposed. Usually hyperresolution has several terms of conditon parts. Theser terms have to be connected by the an connective. If the main/max operator to be used the and operation, there is some dependency problem of the min/max operator. So , we propose a compensatory operator EGM and applied it to the CFHR, We show the CFHR does more meaningful reasoning than existing method. We also prove the completeness of CFHR.
Wideband Time-Frequency Symbols and their Applications
Iem, Byeong-Gwan ;
Journal of Korean Institute of Intelligent Systems, volume 11, issue 6, 2001, Pages 563~567
We generalize the widebane P0-weyl symbol (P0WS) and the widebane spreading function (WSF) using the generalized warping function . The new generalized P0WS and WSF are useful for analyzing system and communication channels producing generalized time shifts. We also investigated the relationship between the affine Wey1 symbol(AWS) and the P0WS. By using specific warping functions, we derive new P0WS and WSF as analysis tools for systems and communication channels with non-linear group delary characteristics. The new P0WS preserves specific types of changes imposed on random processes. The new WSF provides a new interpretation of output of system and communication channel as weighted superpositions of non-linear time shifts on the input. It is compared to the conventional method obtaining output of system and communication channel as a convention integration of the input with the impulse response of the system and the communication channel. The convolution integration can be interpreted as weighted superpositions of liner time shifts on the input where the weight is the impulse response of the system and the communication channel. Application examples in analysis and detection demonstrate the advantages of our new results.