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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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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 9, Issue 4 - Dec 2009
Volume 9, Issue 3 - Sep 2009
Volume 9, Issue 2 - Jun 2009
Volume 9, Issue 1 - Mar 2009
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Conceptual Object Grouping for Multimedia Document Management
Lee, Chong-Deuk ; Jeong, Taeg-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 161~165
DOI : 10.5391/IJFIS.2009.9.3.161
Increase of multimedia information in Web requires a new method to manage and service multimedia documents efficiently. This paper proposes a conceptual object grouping method by fuzzy filtering, which is automatically constituted based on increase of multimedia documents. The proposed method composes subsumption relations between conceptual objects automatically using fuzzy filtering of the document objects that are extracted from domains. Grouping of such conceptual objects is regarded as subsumption relation which is decided by
-cut. This paper proposes
-cut, FAS(Fuzzy Average Similarity) and DSR(Direct Subsumption Relation) to decide fuzzy filtering, which groups related document objects easily. This paper used about 1,000 conceptual objects in the performance test of the proposed method. The simulation result showed that the proposed method had better retrieval performance than those for OGM(Optimistic Genealogy Method) and BGM(Balanced Genealogy Method).
Design of a Recognizing System for Vehicle`s License Plates with English Characters
Xing, Xiong ; Choi, Byung-Jae ; Chae, Seog ; Lee, Mun-Hee ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 166~171
DOI : 10.5391/IJFIS.2009.9.3.166
In recent years, video detection systems have been implemented in various infrastructures such as airport, public transportation, power generation system, water dam and so on. Recognizing moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. Segmentation and tracking of multiple vehicles in crowded situations is made difficult by inter-object occlusion. In the system described in this paper, the mean shift algorithm is firstly used to filter and segment a color vehicle image in order to get candidate regions. These candidate regions are then analyzed and classified in order to decide whether a candidate region contains a license plate or not. And then some characters in the license plate is recognized by using the fuzzy ARTMAP neural network, which is a relatively new architecture of the neural network family and has the capability to learn incrementally unlike the conventional BP network. We finally design a license plate recognition system using the mean shift algorithm and fuzzy ARTMAP neural network and show its performance via some computer simulations.
Evolutionary Design of Morphology-Based Homomorphic Filter for Feature Enhancement of Medical Images
Hwang, Hee-Soo ; Oh, Jin-Sung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 172~177
DOI : 10.5391/IJFIS.2009.9.3.172
In this paper, a new morphology-based homomorphic filtering technique is presented to enhance features in medical images. The homomorphic filtering is performed based on the morphological sub-bands, in which an image is morphologically decomposed. An evolutionary design is carried to find an optimal gain and structuring element of each sub-band. As a search algorithm, Differential Evolution scheme is utilized. Simulations show that the proposed filter improves the contrast of the interest feature in medical images.
Fault diagnostic system for rotating machine based on Wavelet packet transform and Elman neural network
Youk, Yui-su ; Zhang, Cong-Yi ; Kim, Sung-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 178~184
DOI : 10.5391/IJFIS.2009.9.3.178
An efficient fault diagnosis system is needed for industry because it can optimize the resources management and improve the performance of the system. In this study, a fault diagnostic system is proposed for rotating machine using wavelet packet transform (WPT) and elman neural network (ENN) techniques. In most fault diagnosis for mechanical systems, WPT is a well-known signal processing technique for fault detection and identification. In previous work, WPT can improve the continuous wavelet transform (CWT) used over a longer computing time and huge operand. It can also solve the frequency-band disagreement by discrete wavelet transform (DWT) only breaking up the approximation version. In the experimental work, the extracted features from the WPT are used as inputs in an Elman neural network. The results show that the scheme can reliably diagnose four different conditions and can be considered as an improvement of previous works in this field.
Flexible Iterative Learning Control Based Expert System and Its Application
Zuojun, Liu ; Zhihu, Liu ; Linan, Zu ; Peng, Yang ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 185~190
DOI : 10.5391/IJFIS.2009.9.3.185
A scheme of expert system based on iterative learning control is proposed. Iterative learning control can obtain control experience from the historical data to build the knowledge base of expert system. Considering some uncertain factors, a flexible measure is adopted in iterative learning control (ILC). Simulation proves the feasibility and effect of the air conditioning control expert system based on flexible iterative learning control (F-ILC). Finally, a feedback compensation unit is incorporated against irregular heavy disturbance.
Formulation of the Neural Network for Implicit Constitutive Model (I) : Application to Implicit Vioscoplastic Model
Lee, Joon-Seong ; Lee, Ho-Jeong ; Furukawa, Tomonari ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 191~197
DOI : 10.5391/IJFIS.2009.9.3.191
Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviors of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this paper, the authors define the implicit constitutive model and propose an implicit viscoplastic constitutive model using neural networks. In their modeling, inelastic material behaviors are generalized in a state space representation and the state space form is constructed by a neural network using input-output data sets. A technique to extract the input-output data from experimental data is also described. The proposed model was first generated from pseudo-experimental data created by one of the widely used constitutive models and was found to replace the model well. Then, having been tested with the actual experimental data, the proposed model resulted in a negligible amount of model errors indicating its superiority to all the existing explicit models in accuracy.
Framework Design of Pervasive Computing System for Inter Space Interactions between Private and Public Smart Spaces
Lim, Shin-Young ; Chung, Lawrence ; Helal, Sumi ; Yang, Hen-I ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 198~205
DOI : 10.5391/IJFIS.2009.9.3.198
In this paper, design of framework architecture of pervasive computing system providing seamless inter space interactions between private and public smart spaces is presented. The seamless inter space interaction issues are related to establishing user`s service environment by allocating relevant resources in a new location where there are no prior settings for the user or where there are current users already being served in the new location. In the realm of pervasive computing, we can have different types of smart spaces, offering proactive and intelligent services, which are islands of smart spaces independent from each other. As users move about, they will have to roam from private smart space to public smart space and vice versa. When they enter a new island of smart space, they will have to setup their devices and service manually to get the same or different services they had at the previous location. Users might be living in a non-pervasive computing environment because this manual operation is inappropriate to its generic features of proactive and intelligent services of pervasive computing. The framework architecture will provide seamless inter space interactions initiated by changes in users` location to acquire negotiations of resources for new and current residents regarding service provision with limited available networked devices.
Integrated Task Planning based on Mobility of Mobile Manipulator (M2) Platform
Jin, Tae-Seok ; Kim, Hyun-Sik ; Kim, Jong-Wook ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 206~212
DOI : 10.5391/IJFIS.2009.9.3.206
This paper presents an optimized integrated task planning and control approach for manipulating a nonholonomic robot by mobile manipulators. Then, we derive a kinematics model and a mobility of the mobile manipulator(M2) platform considering it as the combined system of the manipulator and the mobile robot. to improve task execution efficiency utilizing the redundancy, optimal trajectory of the mobile manipulator(M2) platform are maintained while it is moving to a new task point. A cost function for optimality can be defined as a combination of the square errors of the desired and actual configurations of the mobile robot and of the task robot. In the combination of the two square errors, a newly defined mobility of a mobile robot is utilized as a weighting index. With the aid of the gradient method, the cost function is minimized, so the path trajectory that the M2 platform generates is optimized. The simulation results of the 2 ink planar nonholonomic M2 platform are given to show the effectiveness of the proposed algorithm.
Intelligent 3D Obstacles Recognition Technique Based on Support Vector Machines for Autonomous Underwater Vehicles
Mi, Zhen-Shu ; Kim, Yong-Gi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 213~218
DOI : 10.5391/IJFIS.2009.9.3.213
This paper describes a classical algorithm carrying out dynamic 3D obstacle recognition for autonomous underwater vehicles (AUVs), Support Vector Machines (SVMs). SVM is an efficient algorithm that was developed for recognizing 3D object in recent years. A recognition system is designed using Support Vector Machines for applying the capabilities on appearance-based 3D obstacle recognition. All of the test data are taken from OpenGL Simulation. The OpenGL which draws dynamic obstacles environment is used to carry out the experiment for the situation of three-dimension. In order to verify the performance of proposed SVMs, it compares with Back-Propagation algorithm through OpenGL simulation in view of the obstacle recognition accuracy and the time efficiency.
Note on Fuzzy Random Renewal Process and Renewal Rewards Process
Hong, Dug-Hun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 219~223
DOI : 10.5391/IJFIS.2009.9.3.219
Recently, Zhao et al. [Fuzzy Optimization and Decision Making (2007) 6, 279-295] characterized the interarrival times as fuzzy random variables and presented a fuzzy random elementary renewal theorem on the limit value of the expected renewal rate of the process in the fuzzy random renewal process. They also depicted both the interarrival times and rewards are depicted as fuzzy random variables and provided fuzzy random renewal reward theorem on the limit value of the long run expected reward per unit time in the fuzzy random renewal reward process. In this note, we simplify the proofs of two main results of the paper.
On Fuzzy S-Weakly r-Continuous Mappings
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 224~227
DOI : 10.5391/IJFIS.2009.9.3.224
In this paper, we introduce the concept of fuzzy S-weakly r-continuous mapping on an fuzzy topological space and investigate some properties of such mappings.
On Fuzzy α-Weakly r-Continuous Mappings
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 228~231
DOI : 10.5391/IJFIS.2009.9.3.228
In this paper, we introduce the concept of fuzzy
-weakly r-continuous mapping on a fuzzy topological space and investigate some properties of such a mapping and the relationships among fuzzy
-weakly r-continuity, fuzzy r-continuity and fuzzy weakly r-continuity.
On-road Vehicle Tracking using Laser Scanner with Multiple Hypothesis Assumption
Ryu, Kyung-Jin ; Park, Seong-Keun ; Hwang, Jae-Pil ; Kim, Eun-Tai ; Park, Mignon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 232~237
DOI : 10.5391/IJFIS.2009.9.3.232
Active safety vehicle devices are getting more attention recently. To prevent traffic accidents, the environment in front and even around the vehicle must be checked and monitored. In the present applications, mainly camera and radar based systems are used as sensing devices. Laser scanner, one of the sensing devices, has the advantage of obtaining accurate measurement of the distance and the geometric information about the objects in the field of view of the laser scanner. However, there is a problem that detecting object occluded by a foreground one is difficult. In this paper, criterions are proposed to manage this problem. Simulation is conducted by vehicle mounted the laser scanner and multiple-hypothesis algorithm tracks the candidate objects. We compare the running times as multi-hypothesis algorithm parameter varies.
Power System Voltage Stability Classification Using Interior Point Method Based Support Vector Machine(IPMSVM)
Song, Hwa-Chang ; Dosano, Rodel D. ; Lee, Byong-Jun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 238~243
DOI : 10.5391/IJFIS.2009.9.3.238
This paper present same thodology for the classification of power system voltage stability, the trajectory of which to instability is monotonic, using an interior point method based support vector machine(IPMSVM). The SVM based voltage stability classifier canp rovide real-time stability identification only using the local measurement data, without the topological information conventionally used.
Real-time EtherCAT Master Implementation on Xenomai for a Robot System
Moon, Yong-Seon ; Ko, Nak-Yong ; Lee, Kwang-Seok ; Bae, Young-Chul ; Park, Jong-Kyu ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 3, 2009, Pages 244~248
DOI : 10.5391/IJFIS.2009.9.3.244
This paper describes a real-time EtherCAT Master library. The library is developed using Xenomai. Xenomai is a real-time development framework. It cooperates with the Linux kernel, in order to provide a pervasive, interface-agnostic, hard real-time support to user-space applications, seamlessly integrated into the GNU/Linux environment. The proposed master library implements EtherCAT protocol for master side, and supports Application Programming Interfaces(APIs) for programming of real-time application which controls EtherCAT slave.