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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 8, Issue 4 - Dec 2008
Volume 8, Issue 3 - Sep 2008
Volume 8, Issue 2 - Jun 2008
Volume 8, Issue 1 - Mar 2008
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3D Walking Human Detection and Tracking based on the IMPRESARIO Framework
Jin, Tae-Seok ; Hashimoto, Hideki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 163~169
DOI : 10.5391/IJFIS.2008.8.3.163
In this paper, we propose a real-time people tracking system with multiple CCD cameras for security inside the building. The camera is mounted from the ceiling of the laboratory so that the image data of the passing people are fully overlapped. The implemented system recognizes people movement along various directions. To track people even when their images are partially overlapped, the proposed system estimates and tracks a bounding box enclosing each person in the tracking region. The approximated convex hull of each individual in the tracking area is obtained to provide more accurate tracking information. To achieve this goal, we propose a method for 3D walking human tracking based on the IMPRESARIO framework incorporating cascaded classifiers into hypothesis evaluation. The efficiency of adaptive selection of cascaded classifiers have been also presented. We have shown the improvement of reliability for likelihood calculation by using cascaded classifiers. Experimental results show that the proposed method can smoothly and effectively detect and track walking humans through environments such as dense forests.
Index Estimation under T
(the weakest t-norm)-based Fuzzy Arithmetic Operations
Hong, Dug-Hun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 170~174
DOI : 10.5391/IJFIS.2008.8.3.170
The measurement of performance of a process considering both the location and the dispersion of information about the process is referred to as the process capacity indices (PCIs) of interest,
. This information is presented by the mean and standard deviation of the producing process. Linguistic variables are used to express the evaluation of the quality of a product. Consequently,
is defined with fuzzy numbers. Lee [Eur. J. Oper. Res. 129(2001) 683-688] constructed the definition of the
index estimation presented by fuzzy numbers and approximated its membership function using the "min" - norm based Zadeh`s extension principle of fuzzy sets. However, Lee`s result was shown to be invalid by Hong [Eur. J. Oper. Res. 158(2004) 529-532]. It is well known that
(the weakest t-norm)-based addition and multiplication preserve the shape of L-R fuzzy numbers. In this paper, we allow that the fuzzy numbers are of L-R type. The object of the present study is to propose a new method to calculate the
fuzzy arithmetic operations.
Evaluation of User Profile Construction Method by Fuzzy Inference
Kim, Byeong-Man ; Rho, Sun-Ok ; Oh, Sang-Yeop ; Lee, Hyun-Ah ; Kim, Jong-Wan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 175~184
DOI : 10.5391/IJFIS.2008.8.3.175
To construct user profiles automatically, an extraction method for representative keywords from a set of documents is needed. In our previous works, we suggested such a method and showed its usefulness. Here, we apply it to the classification problem and observe how much it contributes to performance improvement. The method can be used as a linear document classifier with few modifications. So, we first evaluate its performance for that case. The method is also applicable to some non-linear classification methods such as GIS (Generalized Instance Set). In GIS algorithm, generalized instances are built from training documents by a generalization function and then the K-NN algorithm is applied to them, where the method can be used as a generalization function. For comparative works, two famous linear classification methods, Rocchio and Widrow-Hoff algorithms, are also used. Experimental results show that our method is better than the others for the case that only positive documents are considered, but not when negative documents are considered together.
Experimental Studies of Real- Time Decentralized Neural Network Control for an X-Y Table Robot
Cho, Hyun-Taek ; Kim, Sung-Su ; Jung, Seul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 185~191
DOI : 10.5391/IJFIS.2008.8.3.185
In this paper, experimental studies of a neural network (NN) control technique for non-model based position control of the x-y table robot are presented. Decentralized neural networks are used to control each axis of the x-y table robot separately. For an each neural network compensator, an inverse control technique is used. The neural network control technique called the reference compensation technique (RCT) is conceptually different from the existing neural controllers in that the NN controller compensates for uncertainties in the dynamical system by modifying desired trajectories. The back-propagation learning algorithm is developed in a real time DSP board for on-line learning. Practical real time position control experiments are conducted on the x-y table robot. Experimental results of using neural networks show more excellent position tracking than that of when PD controllers are used only.
Feature Transformation based Music Retrieval System
Heo, Jung-Im ; Yang, Jin-Mo ; Kim, Dong-Hyun ; Yoon, Kyoung-Ro ; Kim, Won-Il ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 192~195
DOI : 10.5391/IJFIS.2008.8.3.192
People have tendency of forgetting music title, though they easily remember particular part of music. If a music search system can find the title through a part of melody, this will provide very convenient interface to users. In this paper, we propose an algorithm that enables this type of search using feature transformation function. The original music is transformed to new feature information with sequential melodies. When a melody that is a part of search music is given to the system, the music retrieval system searches the music similar to the feature information of the melody. Moreover, this transformation function can be easily extended to various music recognition systems.
Improvement of Support Vector Clustering using Evolutionary Programming and Bootstrap
Jun, Sung-Hae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 196~201
DOI : 10.5391/IJFIS.2008.8.3.196
Statistical learning theory has three analytical tools which are support vector machine, support vector regression, and support vector clustering for classification, regression, and clustering respectively. In general, their performances are good because they are constructed by convex optimization. But, there are some problems in the methods. One of the problems is the subjective determination of the parameters for kernel function and regularization by the arts of researchers. Also, the results of the learning machines are depended on the selected parameters. In this paper, we propose an efficient method for objective determination of the parameters of support vector clustering which is the clustering method of statistical learning theory. Using evolutionary algorithm and bootstrap method, we select the parameters of kernel function and regularization constant objectively. To verify improved performances of proposed research, we compare our method with established learning algorithms using the data sets form ucr machine learning repository and synthetic data.
Interval- Valued Fuzzy Minimal Structures and Interval-Valued Fuzzy Minimal Spaces
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 202~206
DOI : 10.5391/IJFIS.2008.8.3.202
We introduce the concept of interval-valued minimal structure which is an extension of the interval-valued fuzzy topology. And we introduce and study the concepts of IVF m-continuous and several types of compactness on the interval-valued fuzzy m-spaces.
Intuitionistic Fuzzy Semigroups
Hur, Kul ; Jang, Su-Youn ; Lim, Pyung-Ki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 207~219
DOI : 10.5391/IJFIS.2008.8.3.207
We give some properties of intuitionistc fuzzy left, right, and two-sided ideals and bi-ideals of a semigroup. And we characterize a regular semigroup, a semigroup that is a lattice of left(right) simple semigroups, a semigroup that is a semilattice of left(right) groups and a semigroup that is a semilattice of groups in terms of intuitionistic fuzzy ideals and intuitionistic fuzzy bi-ideals.
Object tracking algorithm of Swarm Robot System for using Polygon based Q-learning and parallel SVM
Seo, Snag-Wook ; Yang, Hyun-Chang ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 220~224
DOI : 10.5391/IJFIS.2008.8.3.220
This paper presents the polygon-based Q-leaning and Parallel SVM algorithm for object search with multiple robots. We organized an experimental environment with one hundred mobile robots, two hundred obstacles, and ten objects. Then we sent the robots to a hallway, where some obstacles were lying about, to search for a hidden object. In experiment, we used four different control methods: a random search, a fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process to determine the next action of the robots, and hexagon-based Q-learning, and dodecagon-based Q-learning and parallel SVM algorithm to enhance the fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process. In this paper, the result show that dodecagon-based Q-learning and parallel SVM algorithm is better than the other algorithm to tracking for object.
Recognition of the Printed English Sentence by Using Japanese Puzzle
Sohn, Young-Sun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 225~230
DOI : 10.5391/IJFIS.2008.8.3.225
In this paper we embody a system that recognizes printed alphabet, numeral figures and symbols written on the keyboard for the recognition of English sentences. The image of the printed sentences is inputted and binarized, and the characters are separated by using histogram method that is the same as the existing character recognition method. During the abstraction of the individual characters, we classify one group that has not numerical information by the projection of the vertical center of the character. In case of another group that has the longer width than the height, we assort them by normalizing the width. The other group normalizes the height of the images. With the reverse application of the basic principle of the Japanese Puzzle to a normalized character image, the proposed system classifies and recognizes the printed numeral figures, symbols and characters, consequently we meet with good result.
Table based Single Pass Algorithm for Clustering News Articles
Jo, Tae-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 3, 2008, Pages 231~237
DOI : 10.5391/IJFIS.2008.8.3.231
This research proposes a modified version of single pass algorithm specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version where documents are encoded into not numerical vectors but other forms. In the proposed version, documents are mapped into tables and the operation on two tables is defined for using the single pass algorithm. The goal of this research is to improve the performance of single pass algorithm for text clustering by modifying it into the specialized version.