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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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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 13, Issue 6 - Dec 2003
Volume 13, Issue 5 - Oct 2003
Volume 13, Issue 4 - Aug 2003
Volume 13, Issue 3 - Jun 2003
Volume 13, Issue 2 - Apr 2003
Volume 13, Issue 1 - Feb 2003
Selecting the target year
Recognition of Various Printed Hangul Images by using the Boundary Tracing Technique
Baek, Seung-Bok ; Kang, Soon-Dae ; Sohn, Young-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 1~5
DOI : 10.5391/JKIIS.2003.13.1.001
In this paper, we realized a system that converts the character images of the printed Korean alphabet (Hangul) to the editable text documents by using the black and white CCD camera, We were able to abstract the contours information of the character which is based on the structural character by using the boundary tracing technique that is strong to the noise on the character recognition. By using the contours information, we recognized the horizontal vowels and vertical vowels of the character image and classify the character into the six patterns. After that, the character is divided to the unit of the consonant and vowel. The vowels are recognized by using the maximum length projection. The separated consonants are recognized by comparing the inputted pattern with the standard pattern that has the phase information of the boundary line change. We realized a system that the recognized characters are inputted to the word editor with the editable KS Hangul completion type code.
Optimal Structure Design of Modular Neural Network
Kim, Seong-Joo ; Jeon, Hong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 6~11
DOI : 10.5391/JKIIS.2003.13.1.006
Recently, the modular network was proposed in a way to keep the size of the neural network small. The modular network solves the problem by splitting it into sub-problems. In this aspect, fuzzy systems act in a similar way. However, in a fuzzy system, there must be an expert rule which separates the input space. To overcome this, fuzzy-neural network has been used. However, the number of fuzzy rules grows exponentially as the number of input variables grow. In this paper, we would like to solve the size problem of neural networks using modular network with the hierarchic structure. In the hierarchic structure, the output of precedent module affects only the THEN part of the rule. Finally, the rules become shorter being compared to the rule of fuzzy-neural system. Also, the relations between input and output could be understood more easily in the Proposed modular network and that makes design easier.
Determination of Optimal Cluster Size Using Bootstrap and Genetic Algorithm
Park, Min-Jae ; Jun, Sung-Hae ; Oh, Kyung-Whan ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 12~17
DOI : 10.5391/JKIIS.2003.13.1.012
Optimal determination of cluster size has an effect on the result of clustering. In K-means algorithm, the difference of clustering performance is large by initial K. But the initial cluster size is determined by prior knowledge or subjectivity in most clustering process. This subjective determination may not be optimal. In this Paper, the genetic algorithm based optimal determination approach of cluster size is proposed for automatic determination of cluster size and performance upgrading of its result. The initial population based on attribution is generated for searching optimal cluster size. The fitness value is defined the inverse of dissimilarity summation. So this is converged to upgraded total performance. The mutation operation is used for local minima problem. Finally, the re-sampling of bootstrapping is used for computational time cost.
Path Planning of an Autonomous Mobile Robot with Vision System Using Fuzzy Rules
Kim, Jae-Hoon ; Kang, Geun-Taek ; Lee, Won-Chang ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 18~23
DOI : 10.5391/JKIIS.2003.13.1.018
This paper presents new algorithms of path planning and obstacle avoidance for an autonomous mobile robot to navigate under unknown environments in the real time. Temporary targets are set up by distance variation method and then the algorithms of trajectory planning and obstacle avoidance are designed using fuzzy rules. It is shown by computer simulation that these algorithms are working well. Furthermore, an autonomous mobile robot was constructed to implement and test these algorithms in the real field. The experimental results are also satisfactory just like those of computer simulation.
Design of Generalized Predictive Controller Using Wavelet Neural Networks for Chaotic Systems
Park, Sang-Woo ; Choi, Jong-Tae ; Choi, Yoon-Ho ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 24~30
DOI : 10.5391/JKIIS.2003.13.1.024
In this paper, we propose a novel predictive control method, which uses a wavelet neural network as a predictor, for the control of chaotic systems. In our method, we use the gradient descent method for training the parameter of a wavelet neural network. The control signals are directly obtained by minimizing the difference between a reference signal and the output of a wavelet neural network. To verify the efficiency of our method, we apply it to the Doffing and the Henon system, which are a representative continuous and discrete time chaotic system respectively, and compare with the results of generalized predictive control using multi-layer perceptron.
The descriptive grade evaluation system using Fuzzy reasoning on web
Sa-Kong, Kul ; Kim, Doo-Ywan ; Chung, Hwan-Mook ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 31~36
DOI : 10.5391/JKIIS.2003.13.1.031
The descriptive grade evaluation system is adopting to solve the problems of pre-exiting system that refers to marks and ranks. However, it increases the work load and creates inconsistencies of the grade evaluations due to teachers subjective evaluations. In this Paper, I suggest a grade evaluation system, applying the Fuzzy reasoning on web for teachers to evaluate students more effectively. Teachers can input the results of the accomplishment assessments. It also evaluates with the Fuzzy reasoning to attain the final evaluation of the subjects. The system also creates descriptive evaluation sentences by abstracting some sentences for evaluation utilizing the properties of the Fuzzy reasoning rules.
Numeric Pattern Recognition Using Genetic Algorithm and DNA coding
Paek, Dong-Hwa ; Han, Seung-Soo ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 37~44
DOI : 10.5391/JKIIS.2003.13.1.037
In this paper, we investigated the performance of both DNA coding method and Genetic Algorithm(GA) in numeric pattern (from 0 to 9) recognition. The performance of the DNA coding method is compared to the that of the GA. GA searches effectively an optimal solution via the artificial evolution of individual group of binary string using binary coding, while DNA coding method uses four-type bases denoted by Adenine(A), Cytosine(C), Guanine(G) and Thymine(T). To compare the performance of both method, the same genetic operators(crossover and mutation) are applied and the probabilities of crossover and mutation are set the same values. The results show that the DNA coding method has better performance over GA. The reasons for this outstanding performance are multiple candidate solution presentation in one string and variable solution string length.
Analyzing the Acoustic Elements and Emotion Recognition from Speech Signal Based on DRNN
Sim, Kwee-Bo ; Park, Chang-Hyun ; Joo, Young-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 45~50
DOI : 10.5391/JKIIS.2003.13.1.045
Recently, robots technique has been developed remarkably. Emotion recognition is necessary to make an intimate robot. This paper shows the simulator and simulation result which recognize or classify emotions by learning pitch pattern. Also, because the pitch is not sufficient for recognizing emotion, we added acoustic elements. For that reason, we analyze the relation between emotion and acoustic elements. The simulator is composed of the DRNN(Dynamic Recurrent Neural Network), Feature extraction. DRNN is a learning algorithm for pitch pattern.
Development of Force Feedback Joystick for Remote Control of a Mobile Robot
Suh, Se-Wook ; Yoo, Bong-Soo ; Joh, Joong-Seon ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 51~56
DOI : 10.5391/JKIIS.2003.13.1.051
The main goal of existing mobile robot system was a complete autonomous navigation and the vision information was just used as an assistant way such as monitoring For this reason, the researches have been going towards sophistication of autonomousness gradually and the production costs also has been risen. However, it is also important to control remotely an inexpensive mobile robot system which has no intelligence at all. Such systems may be much more effective than fully autonomous systems in practice. Visual information from a simple camera and distance information from ultrasonic sensors are used for this system. Collision avoidance becomes the most important problem for this system. In this paper, we developed a force feedback joystick to control the robot system remotely with collision avoiding capability. Fuzzy logic is used for the algorithm in order to implement the expert s knowledge intelligently. Some experimental results show the force feedback joystick werks very well.
A Study on the Dynamic Binary Fingerprint Recognition Method using Artificial Intelligence
Kang, Jong-Yoon ; Lee, Joo-Sang ; Lee, Jae-Hyun ; Kong, Suk-Min ; Kim, Dong-Han ; Lee, Sang-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 57~62
DOI : 10.5391/JKIIS.2003.13.1.057
Among the procedure of automatic fingerprint recognition, binary code is important for the optimum thinning and singular point extraction while reserving the fingerprint image data. Binarization is to convert gray scale images into 0s and 255s values. For this conversion, you should set up the proper threshold value not to lose fingerprint image data. In this paper, we suggest the method to extract the standard threshold in real-time from fingerprint images entered by applying artificial intelligent methods in the binary code procedure. We show improved features while comparing the experiment results with the existing methods.
Design of an Adaptive Fuzzy VSC for BLDC Motor Position Control
Park, Kwang-Hyun ; Lee, Hun ; Lee, Dae-Sik ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 63~69
DOI : 10.5391/JKIIS.2003.13.1.063
The main property of VSC is that the system response is robust and insensitive to parameter variations and external disturbances in the sliding mode if their bounds are known to the designer of the system control. But sometimes these bounds may not be easily obtained. However, fuzzy control provides an effective way to design the controller of the system with the disturbances and parameter variations. Therefore, combination of the best feature of fuzzy control and sliding mode control is considered. When using the conventional VSC, generally the reaching phase problem occurs, which cause the system response to be sensitive to parameter variations and external disturbances. In order to overcome these problems, a robust position control method of the BLDC motor using an adaptive fuzzy VSC without leaching phase is presented.
Research about Intelligent Snake Robot
Kim, Seong-Joo ; Kim, Jong-Soo ; Jeon, Hong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 70~75
DOI : 10.5391/JKIIS.2003.13.1.070
There come various types of robot with researches for mobile robot. This paper introduces the multi-joint snake robot having 16 degree of freedom and composing of eight-axis. The biological snake robot uses the forward movement friction and the proposed artificial snake robot uses the un-powered wheel instead of the body of snake. To determine the enable joint angle of each joint, the controller inputs are considered such as color and distance using PC Camera and ultra-sonic sensor module, respectively. The movement method of snake robot is sequential moving from head to tail through body. The target for movement direction is decided by a certain article be displayed in the PC Camera. In moving toward that target, if there is any obstacle then the snake robot can avoid by itself. In this paper, we show the method of snake robot for tracing the target with experiment.
Optimal Traffic Information
Hong, You-Sik ; Park, Jong-Kug ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 76~84
DOI : 10.5391/JKIIS.2003.13.1.076
Now days, It is based on GIS and GPS, it can search for the shortest path and estimation of arrival time by using the internet and cell phone to driver. But, even though good car navigation system does not create which is the shortest path when there average vehicle speed is 10 -20 Km. Therefore In order to reduce vehicle waiting time and average vehicle speed, we suggest optimal green time algorithm using fuzzy adaptive control, where there are different traffic intersection length and lane. In this paper, it will be able to forecast the optimal traffic information, estimation of destination arrival time, under construction road, and dangerous road using internet.
Adaptive PID Controller for Nonlinear Systems using Fuzzy Model
Kim, Jong-Hua ; Lee, Won-Chang ; Kang, Geun-Taek ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 85~90
DOI : 10.5391/JKIIS.2003.13.1.085
This paper presents an adaptive PID control scheme for nonlinear system. TSK(Takagi-Sugeno-Kang) fuzzy model is used to estimate the error of control input, and the parameters of PID controller are adapted using the error. The parameters of TSK fuzzy model also adapted to plant. The proposed algorithm allows designing adaptive PID controller which Is adapted to the uncertainty of nonlinear plant and the change of parameters. The usefulness of the proposed algorithm is also certificated by the several simulations.
Flight Attitude Control of using a Fuzzy Controller
Park, Jong-Oh ; Sul, Jae-Hoon ; Kim, Sung-Chul ; Lim, Young-Do ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 91~96
DOI : 10.5391/JKIIS.2003.13.1.091
The forces and moments at the aircraft c.g. have components due to aerodynamic effects and to engine thrust. For the flight stability and autopilot systems we present a attitude control method using an intelligent control algorithm Which is based on the control rules from experts knowledge concerning the motion equations and other experiences. Then a robust fuzzy controller is developed to control the flight attitude. The controller can deal with multiple inputs and outputs. We have made an aircraft model and the orientation sensor for experimental flights. The control rules based on the flight expert s experience and knowledge can be programmed by fuzzy rules, and determined control rules by experimental flight. We can be stable attitude control by fuzzy controller.
A note on fuzzy knowledge spaces
Jang, Lee-Chae ; Kim, Taek-Yun ; Jeon, Jong-Duek ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 97~101
DOI : 10.5391/JKIIS.2003.13.1.097
Controllability for the fuzzy differential systems with nonlocal initial conditions
Park, Jong-Seo ; Jeong, Doo-Hoan ; Kwun, Young-Chel ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 102~106
DOI : 10.5391/JKIIS.2003.13.1.102
In this paper, we study the controllability of fuzzy differential systems with nonlocal initial conditions. Result of this paper has improved and expanded in .
Design of Fuzzy Model for Data Mining
Kim, Do-Wan ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 107~113
DOI : 10.5391/JKIIS.2003.13.1.107
A new GA-based methodology using information granules is suggested for the construction of fuzzy classifiers. The proposed scheme consists of three steps: selection of information granules, construction of the associated fuzzy sets, and tuning of the fuzzy rules. First, the genetic algorithm (GA) is applied to the development of the adequate information granules. The fuzzy sets are then constructed from the analysis of the developed information granules. An interpretable fuzzy classifier is designed by using the constructed fuzzy sets. Finally, the GA are utilized for tuning of the fuzzy rules, which can enhance the classification performance on the misclassified data (e.g., data with the strange pattern or on the boundaries of the classes). To show the effectiveness of the proposed method, an example, the classification of the Iris data, is provided.
Fuzzy Separability and Axioms of Countability in Fuzzy Hyperspaces
Baik, B.S. ; Hur, K. ; Ryou, J.H. ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 114~118
DOI : 10.5391/JKIIS.2003.13.1.114
We study some relations between separability in fuzzy topological spaces and one in fuzzy hyperspaces. And we investigate some properties of axiom of countability in fuzzy hyperspaces.
Change Detection Algorithm based on Positive and Negative Selection of Developing T-cell
Sim, Kwee-Bo ; Lee, Dong-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 1, 2003, Pages 119~124
DOI : 10.5391/JKIIS.2003.13.1.119
In this paper, we modeled positive selection and negative selection that is developing process of cytotoxic T-cell that plays important role in biological immune system. Also, we developed change detection algorithm, which is very Important part in detecting data change by intrusion and data infection by computer virus. Proposed method is the algorithm that produces MHC receptor lot recognizing self and antigen detector for recognizing non-self. Therefore, proposed method detects self and intruder by two type of detectors like real immune system. We show the effectiveness and characteristics of proposed change detection algorithm by simulation about point and block change of self file.