Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korean Institute of Intelligent Systems
Journal Basic Information
Journal DOI :
Korean Institute of Intelligent Systems
Editor in Chief :
Volume & Issues
Volume 15, Issue 7 - Dec 2005
Volume 15, Issue 6 - Dec 2005
Volume 15, Issue 5 - Oct 2005
Volume 15, Issue 4 - Aug 2005
Volume 15, Issue 3 - Jun 2005
Volume 15, Issue 2 - Apr 2005
Volume 15, Issue 1 - Feb 2005
Selecting the target year
Construction of Fuzzy Entropy and Similarity Measure with Distance Measure
Lee Sang-Hyuk ; Kim Sung-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 521~526
DOI : 10.5391/JKIIS.2005.15.5.521
The fuzzy entropy is proposed for measuring of uncertainty with the help of relation between distance measure and similarity measure. The proposed fuzzy entropy is constructed through a distance measure. In this study, Hamming distance measure is employed for a distance measure. Also a similarity measure is constructed through a distance measure for the measure of similarity between fuzzy sets or crisp sets and the proposed fuzzy entropies and similarity measures are proved.
Adaptive Fuzzy Sliding Mode Control for Nonlinear Systems Using Estimation of Bounds for Approximation Errors
Seo Sam-Jun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 527~532
DOI : 10.5391/JKIIS.2005.15.5.527
In this paper, we proposed an adaptive fuzzy sliding control for unknown nonlinear systems using estimation of bounds for approximation errors. Unknown nonlinearity of a system is approximated by the fuzzy logic system with a set of IF-THEN rules whose consequence parameters are adjusted on-line according to adaptive algorithms for the purpose of controlling the output of the nonlinear system to track a desired output. Also, using assumption that the approximation errors satisfy certain bounding conditions, we proposed the estimation algorithms of approximation errors by Lyapunov synthesis methods. The overall control system guarantees that the tracking error asymptotically converges to zero and that all signals involved in controller are uniformly bounded. The good performance of the proposed adaptive fuzzy sliding mode controller is verified through computer simulations on an inverted pendulum system.
Fuzzy Hypotheses Testing of Likert Fuzzy Scale
Kang Man-Ki ; Lee Chang-Eun ; Chio Gue-Tak ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 533~537
DOI : 10.5391/JKIIS.2005.15.5.533
A Likert scale is an often used questionnaire format. It requests respondents to specify their level of agreement to each of a list of statements. A typical question using a five-point Likert scale might make a statement. The results shows vague values. We have five-point fuzzy membership function by fuzzy valued three-point for the question and fuzzy hypothesis test the membership function by 95% confidence interval.
An Intelligent P2P Mobile Agent for sharing Users' Context and Service Information
Yun Hyo-Gun ; Lee Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 538~544
DOI : 10.5391/JKIIS.2005.15.5.538
The service supporting structure for users in ubiquitous computing environment requires technology that divides efficiently resources shared around users according to users context. So, needs research that analyze service items and resources that is offered according to users context information and divide adaptively necessary service and resources. Therefore, in this paper we proposes an intelligent P2P mobile agent that recognizes users context using portable mobile devices and is available for intelligent service by sharing serviced item according to users' context. The proposed structure removes monopoly for specific resources, and supports effective users context-awareness and service.
Cost-sensitive Learning for Credit Card Fraud Detection
Park Lae-Jeong ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 545~551
DOI : 10.5391/JKIIS.2005.15.5.545
The main objective of fraud detection is to minimize costs or losses that are incurred due to fraudulent transactions. Because of the problem's nature such as highly skewed, overlapping class distribution and non-uniform misclassification costs, it is, however, practically difficult to generate a classifier that is near-optimal in terms of classification costs at a desired operating range of rejection rates. This paper defines a performance measure that reflects classifier's costs at a specific operating range and offers a cost-sensitive learning approach that enables us to train classifiers suitable for real-world credit card fraud detection by directly optimizing the performance measure with evolutionary programming. The experimental results demonstrate that the proposed approach provides an effective way of training cost-sensitive classifiers for successful fraud detection, compared to other training methods.
Parameter Estimation of Recurrent Neural Networks Using A Unscented Kalman Filter Training Algorithm and Its Applications to Nonlinear Channel Equalization
Kwon Oh-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 552~559
DOI : 10.5391/JKIIS.2005.15.5.552
Recurrent neural networks(RNNs) trained with gradient based such as real time recurrent learning(RTRL) has a drawback of slor convergence rate. This algorithm also needs the derivative calculation which is not trivialized in error back propagation process. In this paper a derivative free Kalman filter, so called the unscented Kalman filter(UKF), for training a fully connected RNN is presented in a state space formulation of the system. A derivative free Kalman filler learning algorithm makes the RNN have fast convergence speed and good tracking performance without the derivative computation. Through experiments of nonlinear channel equalization, performance of the RNNs with a derivative free Kalman filter teaming algorithm is evaluated.
Vision-based Self Localization Using Ceiling Artificial Landmark for Ubiquitous Mobile Robot
Lee Ju-Sang ; Lim Young-Cheol ; Ryoo Young-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 560~566
DOI : 10.5391/JKIIS.2005.15.5.560
In this paper, a practical technique for correction of a distorted image for vision-based localization of ubiquitous mobile robot. The localization of mobile robot is essential and is realized by using camera vision system. In order to wide the view angle of camera, the vision system includes a fish-eye lens, which distorts the image. Because a mobile robot moves rapidly, the image processing should he fast to recognize the localization. Thus, we propose the practical correction technique for a distorted image, verify the Performance by experimental test.
An Optimal System Configuration Using Intelligent Agent on Ubiquitous Environment
Kim Doo-Ywan ; Roh Eun-Young ; Chung Hwan-Mook ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 567~572
DOI : 10.5391/JKIIS.2005.15.5.567
Recently, owing to miniaturization of computer and popularization of internet, ubiquitous computing is attracting considerable attention. In ubiquitous environment, user can receive desired information service anywhere, any time. With the advent of ubiquitous age through popularization of internet, it becomes important how to provide user with ubiquitous environment, and what and how to provide to user. In this paper, method to automatically select device most suitable for user in ubiquitous environment is offered. search agents search peripherals, make a list by function, and transmit to serve. Serve learn the transmitted information through intelligent system. If user input information in the form of linguistic according to the list, serve select device suitable for work environment, and compose the system through IP address. This was realize through practical example, experimented and confirmed.
Face Emotion Recognition by Fusion Model based on Static and Dynamic Image
Lee Dae-Jong ; Lee Kyong-Ah ; Go Hyoun-Joo ; Chun Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 573~580
DOI : 10.5391/JKIIS.2005.15.5.573
In this paper, we propose an emotion recognition using static and dynamic facial images to effectively design human interface. The proposed method is constructed by HMM(Hidden Markov Model), PCA(Principal Component) and wavelet transform. Facial database consists of six basic human emotions including happiness, sadness, anger, surprise, fear and dislike which have been known as common emotions regardless of nation and culture. Emotion recognition in the static images is performed by using the discrete wavelet. Here, the feature vectors are extracted by using PCA. Emotion recognition in the dynamic images is performed by using the wavelet transform and PCA. And then, those are modeled by the HMM. Finally, we obtained better performance result from merging the recognition results for the static images and dynamic images.
Face Recognitions Using Centroid Shift and Independent Basis Images
Cho Yong-Hyun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 581~587
DOI : 10.5391/JKIIS.2005.15.5.581
This paper presents a hybrid face recognition method of both the first moment of image and the independent component analysis(ICA) of fixed point(FP) algorithm based on Newton method. First moment is a method for finding centroid of image, which is applied to exclude the needless backgrounds in the face recognitions by shifting to the centroid of face image. FP-ICA is also applied to find a set of independent basis images for the faces, which is a set of statistically independent facial features. The proposed method has been applied to the problem for recognizing the 48 face images(12 persons o 4 scenes) of 64*64 pixels. The 3 distances such as city-block, Euclidean, negative angle are used as measures when match the probe images to the nearest gallery images. The experimental results show that the proposed method has a superior recognition performances(speed, rate) than conventional FP-ICA without preprocessing. The city-block has been relatively achieved more an accurate similarity than Euclidean or negative angle.
A note on compact set-valued Choquet integrals
Jang Lee-Chae ; Kim Hyun-Mee ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 588~592
DOI : 10.5391/JKIIS.2005.15.5.588
We note that Jang et al. studied closed set-valued Choquet integrals with respect to fuzzy measures. In this paper, we consider Choquet integrals of compact set-valued functions, and prove some properties of them. In particular, using compact set-valued functions instead of interval valued, we investigate characterization of compact set-valued Choquet integrals.
A New Intelligent Tracking Algorithm Using Fuzzy Kalman Filter
Noh Sun-Young ; Joo Young-Hoon ; Park Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 593~598
DOI : 10.5391/JKIIS.2005.15.5.593
The standard Kalman filter has been used to estimate the states of the target, but in the presence of a maneuver, its error is occurred and performance may be seriously degraded. To solve this problem, this paper presents a new intelligent tracking algorithm using the fuzzy Kalman filter. In this algorithm, the unknown acceleration is regarded as an additive process noise by using the fuzzy logic based on genetic algorithm(GA) method. And then, the modified filter is corrected by the new update equation method which is a fuzzy system using the relation between the filter residual and its variation. To shows the feasibility of the suggested method with only one filter, the computer simulations system are provided, this method is compared with multiple model method.
Extracting Minimized Feature Input And Fuzzy Rules Using A Fuzzy Neural Network And Non-Overlap Area Distribution Measurement Method
Lim Joon-Shik ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 599~604
DOI : 10.5391/JKIIS.2005.15.5.599
This paper presents fuzzy rules to predict diagnosis of Wisconsin breast cancer with minimized number of feature in put using the neural network with weighted fuzzy membership functions (NEWFM) and the non-overlap area distribution measurement method. NEWFM is capable of self-adapting weighted membership functions from the given the Wisconsin breast cancer clinical training data. n set of small, medium, and large weighted triangular membership functions in a hyperbox are used for representing n set of featured input. The membership functions are randomly distributed and weighted initially, and then their positions and weights are adjusted during learning. After learning, prediction rules are extracted directly from n set of enhanced bounded sums of n set of small, medium, and large weighted fuzzy membership functions. Then, the non-overlap area distribution measurement method is applied to select important features by deleting less important features. Two sets of prediction rules extracted from NEWFM using the selected 4 input features out of 9 features outperform to the current published results in number of set of rules, number of input features, and accuracy with 99.71%.
Construction and Evaluation of Agent Knowledge for Improving Flexibility in Videoconference System
Lee Sung-Doke ; Kang Sang-Gil ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 605~614
DOI : 10.5391/JKIIS.2005.15.5.605
In this paper, we present the design and implementation of an agent knowledge and QoS tuning methodology to improve the flexibility of agent-based flexible video-conference system. In order to improve the flexibility during video-conferencing, we propose a new T-INTER(Tuning-INTER) architecture of knowledge part in video-conference manager (VCM) agent in which an automatic QoS parameter tuning method is imbedded. The flexible video-conference system structured based on the proposed architecture can cope with the changes in service quality required by users. The VCM agent cooperates with other agents by protocols and executes the automatic QoS parameter tuning task whenever needed. By the tuned parameters, the system is able to flexibly cope with the internal or external changes and the burden of users can be decreased. In the experimental section, it is shown that our proposed system outperforms the existing system.
Application of Consensus Algorithm to Mate' for Identifying Faulty Sensor Node in Sensor Networks
Kim Sung-Ho ; Kim Hyeong-Joo ; Han Yun-Jong ; Bogdana Diaconescu ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 615~620
DOI : 10.5391/JKIIS.2005.15.5.615
Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, there will often be some faulty nodes within the network. As nodes in some certain regions rely on each other to route the information gathered by different sensors to a base station (sink), the network should be able to detect a non-operational node in order to determine new paths for routing the information. Failure detection, which identifies the faulty nodes, is rather necessary in sensor networks and a very important research issue. The detection of a non-operational node can be performed using Consensus Algorithm with the purpose of achieving agreement about a node which is supposed to be faulty (non-operational). In this work, we discuss the application of a Consensus Algorithm to sensor node called 'mote'. Our experimental results show that it works efficiently for identifying faulty nodes in sensor networks.
Controllability of the nonlinear Fuzzy Integro-Differential Equations on E
Kwun Young-Chel ; Park Dong-Gun ; Ahn Young-Chul ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 621~625
DOI : 10.5391/JKIIS.2005.15.5.621
In this paper we study the controllability for the nonlinear fuzzy integro-differential equations on
by using the concept of fuzzy number of dimension n whose values are normal, convex, upper semicontinuous and compactly supported surface in
the set of all fuzzy numbers in
with edges having bases parallel to axis
Target Object Search Algorithm under Dynamic Programming in the Tree-Type Maze
Lee Dong-Hoon ; Yoon Han-Ul ; Sim Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 626~631
DOI : 10.5391/JKIIS.2005.15.5.626
This paper presents the target object search algorithm under dynamic programming (DP) in the Tree-type maze. We organized an experimental environment with the concatenation Y-shape diverged way, small mobile robot, and a target object. By the principle of optimality, the backbone of DP, an agent recognizes that a given whole problem can be solved if the values of the best solution of certain ancillary problem can be determined according to the principle of optimality. In experiment, we used two different control algorithms: a left-handed method and DP. Finally we verified the efficiency of DP in the practical application using a real robot.
Human Indicator and Information Display using Space Human Interface in Networked Intelligent Space
Jin Tae-Seok ; Niitsuma Mihoko ; Hashimoto Hideki ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 632~638
DOI : 10.5391/JKIIS.2005.15.5.632
This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.
On the convergence in the sense of α-level on a fuzzy normed linear space
Rhie Gil-Seob ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 639~642
DOI : 10.5391/JKIIS.2005.15.5.639
In this paper, we introduce the notions of the convergence in the sense of
-level and the fuzzy completeness on a fuzzy normed linear space. And we investigate related properties.
Collaborative Filtering Method Using Context of P2P Mobile Agents
Lee Se-Il ; Lee Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 643~648
DOI : 10.5391/JKIIS.2005.15.5.643
In order to supply services necessary for users intelligently in the ubiquitous computing, effective filtering of context information is necessary. But studies of context information filtering have not been made much yet. In order for filtering of context information, we can use collaborative filtering being used much at electric commerce, etc. In order to use such collaborative filtering method in the filtering of ubiquitous computing environment, we must solve such problems as first rater problem, sparsity problem, stored data problem and etc. In this study, in order to solve such problems, the researcher proposes the collaborative filtering method using types of context information. And as the result of applying this filtering method to MAUCA, the P2P mobile agent system, the researcher could confirm the average result of 7.7% in the aspect of service supporting function.
Real-Time Face Recognition System using PDA
Kwon Man-Jun ; Yang Dong-Hwa ; Go Hyoun-Joo ; Kim Jin-Whan ; Chun Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 5, 2005, Pages 649~654
DOI : 10.5391/JKIIS.2005.15.5.649
In this paper, we describe an implementation of real-time face recognition system under ubiquitous computing environments. First, face image is captured by PDA with CMOS camera and then this image with user n and name is transmitted via WLAN(Wireless LAN) to the server and finally PDA receives verification result from the server The proposed system consists of server and client parts. Server uses PCA and LDA algorithm which calculates eigenvector and eigenvalue matrices using the face images from the PDA at enrollment process. And then, it sends recognition result using Euclidean distance at verification process. Here, captured image is first compressed by the wave- let transform and sent as JPG format for real-time processing. Implemented system makes an improvement of the speed and performance by comparing Euclidean distance with previously calculated eigenvector and eignevalue matrices in the learning process.