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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 8, Issue 6 - Nov 1998
Volume 8, Issue 5 - Oct 1998
Volume 8, Issue 4 - Aug 1998
Volume 8, Issue 3 - Jun 1998
Volume 8, Issue 2 - Apr 1998
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Meshless Finite Element Analysis of Three-Dimensional Problems Using Fuzzy Knowledge Processing
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 1~7
This paper describes a meshless of element-free method based on fuzzy knowledge processing. To efficiently simulate complicated physical phenomena with dynmics and non-linear ploblem using computational mechanics, special method is required such as parallel processing or adaptive analysis techniques. However, the conventional finite element method is too complicated to be employed in the above cases. In order to reduce the above complexity of the conventional finite element analysis systms, the so called meshles finite elements as an input information have been stuided. Node is generated if its distance form existing node points is similar to the node spacing fuction at the point. The node spacing function is well controlled by the fuzzy knowledge processing Practical performances of the present system are demonstrated through several three-dimensional(3D) problems.
A Study on Cooperative Intelligece and Chaotic Behaviors of Distributed Autonomuos Mobile Robot Systems
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 8~17
Autonomous mobile robot agents(AMRAs) are robots which perform a given task by the same distributed self-organizing rules. In this paper, we let them form an equi-distance circle for the task of cooperative behaviors. Here, we suggest an algorithm to perform the taqk and then utilize a fuzzy system to improve the algorithm. It is shown that various cooperative activities appear in the simulation and particularly chaotic behaviors also appear by increasing the robot speed. Moreover, we prove the characteristics of this chaotic behaviors by calculating Lyapunov exponent.
A Fuzzy C Elliptic Shells Clustering
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 18~22
This paper presents a fuzzy c elliptic shells algorithm that detects culusters than can be expressed by hyperellipsoidal shells. The algorithm is computationally efficient since the prototyes of shell clusters are determined by a simple matrix inversion instead of by solving several nonlinear equations. The algorithm also works when the detected shells are partial the optimal number of clusters is unkonown initially. A set of simulation results validates the proposed clustering mehtod.
Another Normalization of Fuzzy Ideals in Near-rings
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 23~26
In this paper we give another normalization of fuzzy ideals in near-rings.
Collision Avoidance for an Autonomous Mobile Robot Using Genetic Algorithms
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 27~35
Navigation is a method to direct a mobile robot without collision when traversing the environment. This is to reach a destination without getting lost. In this paper, global and local path planning in fixed obstacle and moving obstacle using genetic algorithm are presented. First, mobile robot searches optimal global path using genetic algorithm without falling into local minima. Then if it finds a unknown obstacle, it searches new path without crashing obstacle. Also if there is a moving obstacle, mobile robot searches new optimal path without colliding with the obstacles. Various simulation results show the proposed algorithm can search a shortest path effectively.
An Empirical Analysis of Evolutionary Fuzzy System for Mobile Robot control
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 36~42
It is difficult to construct a controller for a mobile robot so that it can adapt appropriately in dynamicallychanging environment. To solve this problem, extensive research has been actively performedto construct a controller by evolutionary method, but few results has come out about the behavioraln~echanism of the evolutionarily constructed controller. This paper attemps to systematically analyze themechanism of the controller constructed by evolution. As a result, we have found that evolution canproduce a controller that can solve a given problem properly, where given problem is divided into severalsub problems and adequate mechanisms emerge for each sub problem. The whole problem hasbeen solved through the complicated interactions of these mechanisms.
The Hand Region Acquistion System for Gesture-based Interface
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 43~52
We extract a hand region by using color information, which is an important feature for human vision to distinguish objects. Because pixel values in images are changed according to the luminance and lighting source, it is difficult to extract a hand region exactly without previous knowledge. We generate a hand skin model at learning stage, and extract a hand region from images by using the model. We also use a Kalman filter to consider changes of pixel values in a hand skin model. A Kalman filter restricts a search area for extracting a hand region at next frame also. The validity of the proposed method is proved by implementing the hand-region acquisition module.
Stability Analysis of TSK Fuzzy Systems
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 53~61
This paper describes the stability analysis of TSK (Takagi-Sugeno-Kang) fuzzy systems which can represent a large class of nonlinear systems with good accuracy. A TSK fuzzy model consists of TSK fuzzy rules and the consequent of each fuzzy rule is a linear input-output equation with a constant term. There may exist equilibrium points more than one in the TSK fuzzy model and each equilibrium point rnay also have different nature of stability. The local stability of an equilibrium point is determined by eigenvalues of the Jacobian matrix of the linearized TSK fuzzy model around the equilibrium point. Stability of both the continuous-time and the discrete-time systems is analyzed in this paper.
A Robust Speed Controller For Induction Motor Driver Using Fuzzy Logic
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 62~68
In this paper, a speed controller considering the effects of parameter variations and external disturbance for induction motor driver is designed. An proportional plus integral(P1) fuzzy controller is designed to match desired speed tracking specification. Then a robust controller using Fuzzy Weight matrix are designed that in order to reduce the effect of parameter variations caused by external disturbance. The desired speed tracking control performance of the driver is preserved under wide operating range, and also good speed performance is confirmed by the computer simulation.
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 69~72
We introduce a concept of a 'fuzzy' map between sets by modifying the concetp of the extension principle introduced by Dubois and Prade in  and by using this we generalize Goguen's and Zadeh's extension principles in  and .
Fuzzy Pairwise Almost Open Mapping and P*-fuzzy Almost Open Mapping
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 73~77
Products of Fuzzy Finite State Machines
Journal of Korean Institute of Intelligent Systems, volume 8, issue 4, 1998, Pages 78~81
We introduce the concepts of coverings, direct products, cascade products and wreath products of fuzzy finite state machines and investigate their algebraic structures.