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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 12, Issue 4 - Dec 2012
Volume 12, Issue 3 - Sep 2012
Volume 12, Issue 2 - Jun 2012
Volume 12, Issue 1 - Mar 2012
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A Classification Method Using Data Reduction
Uhm, Daiho ; Jun, Sung-Hae ; Lee, Seung-Joo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 1~5
DOI : 10.5391/IJFIS.2012.12.1.1
Data reduction has been used widely in data mining for convenient analysis. Principal component analysis (PCA) and factor analysis (FA) methods are popular techniques. The PCA and FA reduce the number of variables to avoid the curse of dimensionality. The curse of dimensionality is to increase the computing time exponentially in proportion to the number of variables. So, many methods have been published for dimension reduction. Also, data augmentation is another approach to analyze data efficiently. Support vector machine (SVM) algorithm is a representative technique for dimension augmentation. The SVM maps original data to a feature space with high dimension to get the optimal decision plane. Both data reduction and augmentation have been used to solve diverse problems in data analysis. In this paper, we compare the strengths and weaknesses of dimension reduction and augmentation for classification and propose a classification method using data reduction for classification. We will carry out experiments for comparative studies to verify the performance of this research.
A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors
Son, Jeong-Woo ; Noh, Tae-Gil ; Park, Seong-Bae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 6~14
DOI : 10.5391/IJFIS.2012.12.1.6
All types of part-of-speech (POS) tagging errors have been equally treated by existing taggers. However, the errors are not equally important, since some errors affect the performance of subsequent natural language processing seriously while others do not. This paper aims to minimize these serious errors while retaining the overall performance of POS tagging. Two gradient loss functions are proposed to reflect the different types of errors. They are designed to assign a larger cost for serious errors and a smaller cost for minor errors. Through a series of experiments, it is shown that the classifier trained with the proposed loss functions not only reduces serious errors but also achieves slightly higher accuracy than ordinary classifiers.
A New Approach of Domain Dictionary Generation
Xi, Su Mei ; Cho, Young-Im ; Gao, Qian ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 15~19
DOI : 10.5391/IJFIS.2012.12.1.15
A Domain Dictionary generation algorithm based on pseudo feedback model is presented in this paper. This algorithm can increase the precision of domain dictionary generation algorithm. The generation of Domain Dictionary is regarded as a domain term retrieval process: Assume that top N strings in the original retrieval result set are relevant to C, append these strings into the dictionary, retrieval again. Iterate the process until a predefined number of domain terms have been generated. Experiments upon corpus show that the precision of pseudo feedback model based algorithm is much higher than existing algorithms.
A Term-based Language for Resource-Constrained Project Scheduling and its Complexity Analysis
Kutzner, Arne ; Kim, Pok-Son ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 20~28
DOI : 10.5391/IJFIS.2012.12.1.20
We define a language
, a subclass of the scheduling language
(resource constrained project scheduling with variant processes).
involves the determination of the starting times for ground activities of a project satisfying precedence and resource constraints, in order to minimize the total project duration. In
ground activities and two structural symbols (operators) `seq` and `pll` are used to construct activity-terms representing scheduling problems. We consider three different variants for formalizing the
-scheduling problem, the optimizing variant, the number variant and the decision variant. Using the decision variant we show that the problem
-complete. Further we show that the optimizing variant (or number variant) of the
-problem is computable in polynomial time iff the decision variant is computable in polynomial time.
Adaptive Control of Strong Mutation Rate and Probability for Queen-bee Genetic Algorithms
Jung, Sung-Hoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 29~35
DOI : 10.5391/IJFIS.2012.12.1.29
This paper introduces an adaptive control method of strong mutation rate and probability for queen-bee genetic algorithms. Although the queen-bee genetic algorithms have shown good performances, it had a critical problem that the strong mutation rate and probability should be selected by a trial and error method empirically. In order to solve this problem, we employed the measure of convergence and used it as a control parameter of those. Experimental results with four function optimization problems showed that our method was similar to or sometimes superior to the best result of empirical selections. This indicates that our method is very useful to practical optimization problems because it does not need time consuming trials.
Automatic Adaptive Space Segmentation for Reinforcement Learning
Komori, Yuki ; Notsu, Akira ; Honda, Katsuhiro ; Ichihashi, Hidetomo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 36~41
DOI : 10.5391/IJFIS.2012.12.1.36
We tested a single pendulum simulation and observed the influence of several situation space segmentation types in reinforcement learning processes in order to propose a new adaptive automation for situation space segmentation. Its segmentation is performed by the Contraction Algorithm and the Cell Division Approach. Also, its automation is performed by "entropy," which is defined on action values’ distributions. Simulation results were shown to demonstrate the influence and adaptability of the proposed method.
Determination of Power-Quality Disturbances Using Teager Energy Operator and Kalman Filter Algorithms
Cho, Soo-Hwan ; Kim, Jeong-Uk ; Chung, Il-Yop ; Han, Jong-Hoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 42~46
DOI : 10.5391/IJFIS.2012.12.1.42
With the development of industry, more large-scale non-linear loads are added to existing power systems and they cause the serious power quality (PQ) problems to the nearby sensitive installations more and more. To protect the important loads and mitigate the impact of PQ disturbances on them, various compensating devices are installed. One of the most important control skills used in the compensating equipment at the load side is how fast they can recognize or detect the discontinuous abnormal PQ events from the normal voltage signal. This paper deals with two estimation methods for the fast detection and tracking of general PQ disturbances: Teager Energy Operator (TEO), which is a non-linear operator and used for a short time energy calculation, and Kalman Filter (KF), which is one of the most universally used estimation techniques. And it is also shown how to apply the TEO and the KF to detect the PQ disturbances such as voltage sag, swell, interruption, harmonics and voltage fluctuation.
Discrete-Time Sliding Mode Control with SIIM Fuzzy Adaptive Switching Gain
Chai, Chang-Hyun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 47~52
DOI : 10.5391/IJFIS.2012.12.1.47
This paper focuses on discrete-time sliding mode control with SIIM fuzzy adaptive switching gain. The adaptive switching gain is calculated using the simplified indirect inference fuzzy logic. Two fuzzy inputs are the normal distance from the present state trajectory to the switching function and the distance from the present state trajectory to the equilibrium state. The fuzzy output
(k) out f k is used to adjust the speed the adaptation law depending on the location of the state trajectory. The simulation results showed that the proposed method had no chattering in case of uncertain parameter without disturbance. Moreover the convergent rate of the switching gain was faster and more stable even in case of disturbance.
Implementation Privacy Reference Architecture for Forensic Readiness
Shin, Yong-Nyuo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 53~59
DOI : 10.5391/IJFIS.2012.12.1.53
As the Privacy Act is in force in Korea, the subject of protection responsibility is increased, and continuous efforts are made to protect privacy in overseas countries, as can be seen by standard drafts related to privacy protection. However, the reality is that a formal privacy manual or guidelines are insufficient to help cope with the rapid changes and privacy leak caused by TGIF(Twitter-Google-iPhone-Facebook) these days, and practical effects cannot be expected, even though measures are taken. This paper propose a standard format for satisfying the ISO/IEC 29101 "Privacy Reference Architecture" and shows an implementation example for equipping with forensic readiness capturing indications of the incident rapidly and coming up with an effective counter measure when privacy information is disclosed.
Occluded Object Motion Estimation System based on Particle Filter with 3D Reconstruction
Ko, Kwang-Eun ; Park, Jun-Heong ; Park, Seung-Min ; Kim, Jun-Yeup ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 60~65
DOI : 10.5391/IJFIS.2012.12.1.60
This paper presents a method for occluded object based motion estimation and tracking system in dynamic image sequences using particle filter with 3D reconstruction. A unique characteristic of this study is its ability to cope with partial occlusion based continuous motion estimation using particle filter inspired from the mirror neuron system in human brain. To update a prior knowledge about the shape or motion of objects, firstly, fundamental 3D reconstruction based occlusion tracing method is applied and object landmarks are determined. And optical flow based motion vector is estimated from the movement of the landmarks. When arbitrary partial occlusions are occurred, the continuous motion of the hidden parts of object can be estimated by particle filter with optical flow. The resistance of the resulting estimation to partial occlusions enables the more accurate detection and handling of more severe occlusions.
Ordinary Smooth Topological Spaces
Lim, Pyung-Ki ; Ryoo, Byeong-Guk ; Hur, Kul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 66~76
DOI : 10.5391/IJFIS.2012.12.1.66
In this paper, we introduce the concept of ordinary smooth topology on a set X by considering the gradation of openness of ordinary subsets of X. And we obtain the result [Corollary 2.13] : An ordinary smooth topology is fully determined its decomposition in classical topologies. Also we introduce the notion of ordinary smooth [resp. strong and weak] continuity and study some its properties. Also we introduce the concepts of a base and a subbase in an ordinary smooth topological space and study their properties. Finally, we investigate some properties of an ordinary smooth subspace.
Pedagogically-Driven Courseware Content Generation for Intelligent Tutoring Systems
Hadji, Hend Ben ; Choi, Ho-Jin ; Jemni, Mohamed ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 77~85
DOI : 10.5391/IJFIS.2012.12.1.77
This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.
Univector Field Method based Multi-Agent Navigation for Pursuit Problem
Viet, Hoang Huu ; An, Sang-Hyeok ; Chung, Tae-Choong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 86~93
DOI : 10.5391/IJFIS.2012.12.1.86
This paper presents a new approach to solve the pursuit problem based on a univector field method. In our proposed method, a set of eight agents works together instantaneously to find suitable moving directions and follow the univector field to pursue and capture a prey agent by surrounding it from eight directions in an infinite grid-world. In addition, a set of strategies is proposed to make the pursuit problem more realistic in the real world environment. This is a general approach, and it can be extended for an environment that contains static or moving obstacles. Experimental results show that our proposed algorithm is effective for the pursuit problem.
Web Catchphrase Improve System Employing Onomatopoeia and Large-Scale N-gram Corpus
Yamane, Hiroaki ; Hagiwara, Masafumi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 1, 2012, Pages 94~100
DOI : 10.5391/IJFIS.2012.12.1.94
In this paper, we propose a system which improves text catchphrases on the web using onomatopoeia and the Japanese Google N-grams. Onomatopoeia is regarded as a fundamental tool in daily communication for people. The proposed system inserts an onomatopoetic word into plain text catchphrases. Being based on a large catchphrase encyclopedia, the proposed system evaluates each catchphrase`s candidates considering the words, structure and usage of onomatopoeia. That is, candidates are selected whether they contain onomatopoeia and they use specific catchphrase grammatical structures. Subjective experiments show that inserted onomatopoeia is effective for making attractive catchphrases.