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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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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 6, Issue 4 - Dec 2006
Volume 6, Issue 3 - Sep 2006
Volume 6, Issue 2 - Jun 2006
Volume 6, Issue 1 - Mar 2006
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A Comparison of the Performance of Classification for Biomedical Signal using Neural Networks
Kim Man-Sun ; Lee Sang-Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 179~183
DOI : 10.5391/IJFIS.2006.6.3.179
ECG consists of various waveforms of electric signals of heat. Datamining can be used for analyzing and classifying the waveforms. Conventional studies classifying electrocardiogram have problems like extraction of distorted characteristics, overfitting, etc. This study classifies electrocardiograms by using BP algorithm and SVM to solve the problems. As results, this study finds that SVM provides an effective prohibition of overfitting in neural networks and guarantees a sole global solution, showing excellence in generalization performance.
A Fractional Model Reduction for T-S Fuzzy Systems with State Delay
Yoo Seog-Hwan ; Choi Byung-Jae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 184~189
DOI : 10.5391/IJFIS.2006.6.3.184
This paper deals with a fractional model reduction for T-S fuzzy systems with time varying delayed states. A contractive coprime factorization of time delayed T-S fuzzy systems is defined and obtained by solving linear matrix inequalities. Using generalized controllability and observability gramians of the contractive coprime factor, a balanced state space realization of the system is derived. The reduced model will be obtained by truncating states in the balanced realization and an upper bound of model approximation error is also presented. In order to demonstrate efficacy of the suggested method, a numerical example is performed.
A Fuzzy Skyhook Algorithm Using Piecewise Linear Inverse Model
Cho Jeong-Mok ; Yoo Bong-Soo ; Joh Joong-Seon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 190~196
DOI : 10.5391/IJFIS.2006.6.3.190
In this paper, the nonlinear damping force model is made to identify the properties of the ER damper using higher order spectrum. The higher order spectral analysis is used to investigate the nonlinear frequency coupling phenomena with the damping force signal according to the sinusoidal excitation of the damper. Also, this paper presents an inverse model of the ER damper, i.e., the model can predict the required voltage so that the ER damper can produce the desired force for the requirement of vibration control of vehicle suspension systems. The inverse model has been constructed by using piecewise linear damping force model. In this paper, the fuzzy logic control based on heuristic knowledge is combined with the skyhook control. And it is simulated for a quarter car model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration RMS value of the sprung mass. Then scaling factors and membership functions are tuned using genetic algorithm to obtain optimal performance.
Activity Recognition Using Sensor Networks
Lee Jae-Hun ; Lee Byoun-Gyun ; Chung Woo-Yong ; Kim Eun-Tai ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 197~201
DOI : 10.5391/IJFIS.2006.6.3.197
In the implementation of a smart home, activity recognition technology using simple sensors is very important. In this paper, we propose a new activity recognition method based on Bayesian network (BN). The structure of the BN is learned by K2 algorithm and is composed of sensor nodes, activity nodes and time node whose state is quantized with reasonable interval. In the proposed method, the BN has less complexity and provides better activity recognition rate than the previous method.
Categories of two types of uniform spaces
Kim Yong-Chan ; Lee Seok-Jong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 202~209
DOI : 10.5391/IJFIS.2006.6.3.202
In a strictly two-sided, commutative biquantale, we study the relationships between the categories of Hutton (L,
)- uniform spaces and (L,
)-uniform spaces. We investigate the properties of them.
Data Pattern Estimation with Movement of the Center of Gravity
Ahn Tae-Chon ; Jang Kyung-Won ; Shin Dong-Du ; Kang Hak-Soo ; Yoon Yang-Woong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 210~216
DOI : 10.5391/IJFIS.2006.6.3.210
In the rule based modeling, data partitioning plays crucial role be cause partitioned sub data set implies particular information of the given data set or system. In this paper, we present an empirical study result of the data pattern estimation to find underlying data patterns of the given data. Presented method performs crisp type clustering with given n number of data samples by means of the sequential agglomerative hierarchical nested model (SAHN). In each sequence, the average value of the sum of all inter-distance between centroid and data point. In the sequel, compute the derivation of the weighted average distance to observe a pattern distribution. For the final step, after overall clustering process is completed, weighted average distance value is applied to estimate range of the number of clusters in given dataset. The proposed estimation method and its result are considered with the use of FCM demo data set in MATLAB fuzzy logic toolbox and Box and Jenkins`s gas furnace data.
Development of Ultrasonic Test Equipment for Investigating the Morphology of Barrier Materials
Kim Sung-Ho ; Lee Young-Sam ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 217~222
DOI : 10.5391/IJFIS.2006.6.3.217
Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, wavelet and PCA(Principle Componet Analysis) schemes are introduced into neural network scheme which is used for classification. To verify the feasibility of the proposed scheme, some experiments are executed.
High-speed Integer Fuzzy Controller without Multiplications
Lee Sang-Gu ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 223~231
DOI : 10.5391/IJFIS.2006.6.3.223
In high-speed fuzzy control systems applied to intelligent systems such as robot control, one of the most important problems is the improvement of the execution speed of the fuzzy inference. In particular, it is more important to have high-speed operations in the consequent part and the defuzzification stage. To improve the speedup of fuzzy controllers for intelligent systems, this paper presents an integer line mapping algorithm to convert [0, 1] real values of the fuzzy membership functions in the consequent part to a
grid of integer values. In addition, this paper presents a method of eliminating the unnecessary operations of the zero items in the defuzzification stage. With this representation, a center of gravity method can be implemented with only integer additions and one integer division. The proposed system is analyzed in the air conditioner control system for execution speed and COG, and applied to the truck backer-upper control system. The proposed system shows a significant increase in speed as compared with conventional methods with minimal error; simulations indicate a speedup of an order of magnitude. This system can be applied to real-time high-speed intelligent systems such as robot arm control.
Interactive Fuzzy Linear Programming with Two-Phase Approach
Lee Jong-Hwan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 232~239
DOI : 10.5391/IJFIS.2006.6.3.232
This paper is for applying interactive fuzzy linear programming for the problem of product mix planning, which is one of the aggregate planning problem. We developed a modified algorithm, which has two-phase approach for interactive fuzzy linear programming to get a better solution. Adding two-phase method, we expect to obtain not only the highest membership degree, but also a better utilization of each constrained resource.
Intuitionistic Fuzzy Subgroups and Level Subgroups
Ahn Tae-Chon ; Hur Kul ; Jang Kyung-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 240~246
DOI : 10.5391/IJFIS.2006.6.3.240
We introduce the concept of level subgroups of an intuitionistic fuzzy subgroup and study some of it`s properties. These level subgroups in turn play an important role in the characterization of all intuitionistic fuzzy subgroup of a prime cyclic group.
PC-based Hand-Geometry Verification System
Kim Young-Tak ; Kim Soo-Jong ; Lee Chang-Gyu ; Kim Gwan-Hyung ; Kang Sung-In ; Lee Jae-Hyun ; Tack Han-Ho ; Lee Sang-Bae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 247~254
DOI : 10.5391/IJFIS.2006.6.3.247
Biometrics are getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry can be used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. It could also be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. This system presents verification results based on hand measurements of 20 individuals. The verification process has been tested on a size of
image, and result of the verification process have hit rate of 95% and FAR of 0.020.
R-fuzzy F-closed Spaces
Zahran A. M. ; Abd-Allah M. Azab ; El-Rahman A. G. Abd ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 255~263
DOI : 10.5391/IJFIS.2006.6.3.255
In this paper, we introduce the concepts of
-fuzzy feebly open and
-fuzzy feebly closed sets in Sostak`s fuzzy topological spaces and by using them, we explain the notions of
-fuzzy F-closed spaces. Also, we give some characterization of
-fuzzy F-closedness in terms of fuzzy filterbasis and
Strategy of Object Search for Distributed Autonomous Robotic Systems
Kim Ho-Duck ; Yoon Han-Ul ; Sim Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 3, 2006, Pages 264~269
DOI : 10.5391/IJFIS.2006.6.3.264
This paper presents the strategy for searching a hidden object in an unknown area for using by multiple distributed autonomous robotic systems (DARS). To search the target in Markovian space, DARS should recognize th ε ir surrounding at where they are located and generate some rules to act upon by themselves. First of all, DARS obtain 6-distances from itself to environment by infrared sensor which are hexagonally allocated around itself. Second, it calculates 6-areas with those distances then take an action, i.e., turn and move toward where the widest space will be guaranteed. After the action is taken, the value of Q will be updated by relative formula at the state. We set up an experimental environment with five small mobile robots, obstacles, and a target object, and tried to research for a target object while navigating in a un known hallway where some obstacles were placed. In the end of this paper, we present the results of three algorithms - a random search, an area-based action making process to determine the next action of the robot and hexagon-based Q-learning to enhance the area-based action making process.