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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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A Framework for Universal Cross Layer Networks
Khalid, Murad ; Sankar, Ravi ; Joo, Young-Hoon ; Ra, In-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 239~247
DOI : 10.5391/IJFIS.2008.8.4.239
In a resource-limited wireless communication environment, various approaches to meet the ever growing application requirements in an efficient and transparent manner, are being researched and developed. Amongst many approaches, cross layer technique is by far one of the significant contributions that has undoubtedly revolutionized the way conventional layered architecture is perceived. In this paper, we propose a Universal Cross Layer Framework based on vertical layer architecture. The primary contribution of this paper is the functional architecture of the vertical layer which is primarily responsible for cross layer interaction management and optimization. The second contribution is the use of optimization cycle that comprises awareness parameters collection, mapping, classification and the analysis phases. The third contribution of the paper is the decomposition of the parameters into local and global network perspective for opportunistic optimization. Finally, we have shown through simulations how parameters` variations can represent local and global views of the network and how we can set local and global thresholds to perform opportunistic optimization.
A New Vehicle Detection Method based on Color Integral Histogram
Hwang, Jae-Pil ; Ryu, Kyung-Jin ; Park, Seong-Keun ; Kim, Eun-Tai ; Kang, Hyung-Jin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 248~253
DOI : 10.5391/IJFIS.2008.8.4.248
In this paper, a novel vehicle detection algorithm is proposed that utilizes the color histogram of the image. The color histogram is used to search the image for regions with shadow, block symmetry, and block non-homogeneity, thereby detecting the vehicle region. First, an integral histogram of the input image is computed to decrease the amount of required computation time for the block color histograms. Then, shadow detection is performed and the block symmetry and block non-homogeneity are checked in a cascade manner to detect the vehicle in the image. Finally, the proposed scheme is applied to both still images taken in a parking lot and an on-road video sequence to demonstrate its effectiveness.
Context Aware System based on Bayesian Network driven Context Reasoning and Ontology Context Modeling
Ko, Kwang-Eun ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 254~259
DOI : 10.5391/IJFIS.2008.8.4.254
Uncertainty of result of context awareness always exists in any context-awareness computing. This falling-off in accuracy of context awareness result is mostly caused by the imperfectness and incompleteness of sensed data, because of this reasons, we must improve the accuracy of context awareness. In this article, we propose a novel approach to model the uncertain context by using ontology and context reasoning method based on Bayesian Network. Our context aware processing is divided into two parts; context modeling and context reasoning. The context modeling is based on ontology for facilitating knowledge reuse and sharing. The ontology facilitates the share and reuse of information over similar domains of not only the logical knowledge but also the uncertain knowledge. Also the ontology can be used to structure learning for Bayesian network. The context reasoning is based on Bayesian Networks for probabilistic inference to solve the uncertain reasoning in context-aware processing problem in a flexible and adaptive situation.
Database using Personal Information Management System
Kim, Jae-Woo ; Kim, Don-Go ; Kang, Sang-Gil ; Kim, Dong-Hyun ; Kim, Won-Il ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 260~263
DOI : 10.5391/IJFIS.2008.8.4.260
In this paper we propose Personal Information Management System for Library Database. It manages personal search pattern for the given user and provide specific book list for library book search system. With the proposed system, the conventional overlap searching time will be decreased with personalized information and search history. This system manages the individual data according to personal searching pattern, sequence and usability. Therefore, the user can locate necessary book information more accurately with their distinct interest and search history.
Formulation of the Neural Network for Implicit Constitutive Model (II) : Application to Inelastic Constitutive Equations
Lee, Joon-Seong ; Lee, Eun-Chul ; Furukawa, Tomonari ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 264~269
DOI : 10.5391/IJFIS.2008.8.4.264
In this paper, two neural networks as a material model, which are based on the state-space method, have been proposed. One outputs the rates of inelastic strain and material internal variables whereas the outputs of the other are the next state of the inelastic strain and material internal variables. Both the neural networks were trained using input-output data generated from Chaboche`s model and successfully converged. The former neural network could reproduce the original stress-strain curve. The neural network also demonstrated its ability of interpolation by generating untrained curve. It was also found that the neural network can extrapolate in close proximity to the training data.
Integration of User Profiles and Real-time Context Information Reflecting Time-based Changes for the Recommendation System
Lee, Se-Il ; Lee, Sang-Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 270~275
DOI : 10.5391/IJFIS.2008.8.4.270
Under ubiquitous environment, recommendation system is using the collaborative filtering methods by quantifying context information, but insufficient context information can cause inaccurate recommendation result. In order to solve such problems, the researcher used context information and user`s profile. But service history information in users` profiles can have the problems of being influenced by change of the user`s taste or fashion as time passes by. In addition, context information and user`s profile can`t be properly inter-locked according to situation, which can cause inaccurate predictability. In this paper, in case a user`s taste or fashion is changed as time passes by, the researcher didn`t apply bundled-up value to the user`s profile but applied different weight according to change of time. And the researcher could solve the problem that context information and a user`s profile can`t be properly inter-locked according to situation by applying different weight to the result gained by means of collaborative filtering and then by unifying it. In such ways, the researcher could improve predictability.
Intuitionistic Fuzzy G-Equivalence Relations and G-Congruences on a Groupoid
Hur, Kul ; Lee, Keon-Chang ; Lim, Pyung-Ki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 276~283
DOI : 10.5391/IJFIS.2008.8.4.276
We investigate the images and preimages of intuitionistic fuzzy G-equivalence relations and G-congruences under product mappings.
Multi-Intuitionistic Fuzzy Sets and Intuitionistic Fuzzy P Systems
Abd-Allah, M. Azab ; Ghareeb, A. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 284~287
DOI : 10.5391/IJFIS.2008.8.4.284
In this paper, we introduce multi-intuitionistic fuzzy sets and intuitionistic fuzzy hybrid sets. The basic operations between such structures are defined. The use of these structures in the definition of intuition is tic fuzzy variants of P systems and their properties are presented.
Networked Robots using ATLAS Service-Oriented Architecture in the Smart Spaces
Helal, Sumi ; Bose, Raja ; Lim, Shin-Young ; Kim, Hyun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 288~298
DOI : 10.5391/IJFIS.2008.8.4.288
We introduce new type of networked robot, Ubiquitous Robotic Companion (URC), embedded with ATLAS Service-oriented architecture for enhancing the space sensing capability. URC is a network-based robotic system developed by ETRI. For years of experience in deploying service with ATLAS sensor platform for elder and people with special needs in smart houses, we need networked robots to assist elder people in their successful daily living. Recently, pervasive computing technologies reveals possibilities of networked robots in smart spaces, consist of sensors, actuators and smart devices can collaborate with the other networked robot as a mobile sensing platform, a complex and sophisticated actuator and a human interface. This paper provides our experience in designing and implementing system architecture to integrate URC robots in pervasive computing environments using the University of Florida`s ATLAS service-oriented architecture. In this paper, we focus on the integrated framework architecture of URC embedded with ATLAS platform. We show how the integrated URC system is enabled to provide better services which enhance the space sensing of URC in the smart space by applying service-oriented architecture characterized as flexibility in adding or deleting service components of Ubiquitous Robotic Companion.
On Some Results for Five Mappings using Compatibility of Type(α) in Intuitionistic Fuzzy Metric Space
Park, Jong-Seo ; Park, Jin-Han ; Kwun, Young-Chel ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 299~305
DOI : 10.5391/IJFIS.2008.8.4.299
The object of this paper is to introduce the notion of compatible mapping of type(
) in intuitionistic fuzzy metric space, and to establish common fixed point theorem for five mappings in intuitionistic fuzzy metric space. Our research are an extension for the results of  and .
Relationship Among h Value, Membership Function, and Spread in Fuzzy Linear Regression using Shape-preserving Operations
Hong, Dug-Hun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 306~311
DOI : 10.5391/IJFIS.2008.8.4.306
Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.
Results on Fuzzy Weakly (r, s)-Continuous Mappings on the Intuitionistic Fuzzy Topological Spaces in Šostak`s Sense
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 312~315
DOI : 10.5391/IJFIS.2008.8.4.312
In this paper, we investigate some characterizations for fuzzy weakly (r, s)-continuous mapping on an intuitionistic fuzzy topological space in
The Design and Implementation of Anomaly Traffic Analysis System using Data Mining
Lee, Se-Yul ; Cho, Sang-Yeop ; Kim, Yong-Soo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 4, 2008, Pages 316~321
DOI : 10.5391/IJFIS.2008.8.4.316
Advanced computer network technology enables computers to be connected in an open network environment. Despite the growing numbers of security threats to networks, most intrusion detection identifies security attacks mainly by detecting misuse using a set of rules based on past hacking patterns. This pattern matching has a high rate of false positives and can not detect new hacking patterns, which makes it vulnerable to previously unidentified attack patterns and variations in attack and increases false negatives. Intrusion detection and analysis technologies are thus required. This paper investigates the asymmetric costs of false errors to enhance the performances the detection systems. The proposed method utilizes the network model to consider the cost ratio of false errors. By comparing false positive errors with false negative errors, this scheme achieved better performance on the view point of both security and system performance objectives. The results of our empirical experiment show that the network model provides high accuracy in detection. In addition, the simulation results show that effectiveness of anomaly traffic detection is enhanced by considering the costs of false errors.