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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 10, Issue 4 - Dec 2010
Volume 10, Issue 3 - Sep 2010
Volume 10, Issue 2 - Jun 2010
Volume 10, Issue 1 - Mar 2010
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-Fuzzy Extremally Disconnected Ideal Topological Spaces
El-Baki, S.A. Abd ; Saber, Yaser M. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 1~6
DOI : 10.5391/IJFIS.2010.10.1.001
The notion of
-Externally disconnected fuzzy ideal topological spaces is introduced and studied. Many characterizations of the space are obtained.
A Novel Speech/Music Discrimination Using Feature Dimensionality Reduction
Keum, Ji-Soo ; Lee, Hyon-Soo ; Hagiwara, Masafumi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 7~11
DOI : 10.5391/IJFIS.2010.10.1.007
In this paper, we propose an improved speech/music discrimination method based on a feature combination and dimensionality reduction approach. To improve discrimination ability, we use a feature based on spectral duration analysis and employ the hierarchical dimensionality reduction (HDR) method to reduce the effect of correlated features. Through various kinds of experiments on speech and music, it is shown that the proposed method showed high discrimination results when compared with conventional methods.
A Study on an Adaptive Robust Fuzzy Controller with GAs for Path Tracking of a Wheeled Mobile Robot
Nguyen, Hoang-Giap ; Kim, Won-Ho ; Shin, Jin-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 12~18
DOI : 10.5391/IJFIS.2010.10.1.012
This paper proposes an adaptive robust fuzzy control scheme for path tracking of a wheeled mobile robot with uncertainties. The robot dynamics including the actuator dynamics is considered in this work. The presented controller is composed of a fuzzy basis function network (FBFN) to approximate an unknown nonlinear function of the robot complete dynamics, an adaptive robust input to overcome the uncertainties, and a stabilizing control input. Genetic algorithms are employed to optimize the fuzzy rules of FBFN. The stability and the convergence of the tracking errors are guaranteed using the Lyapunov stability theory. When the controller is designed, the different parameters for two actuator models in the dynamic equation are taken into account. The proposed control scheme does not require the accurate parameter values for the actuator parameters as well as the robot parameters. The validity and robustness of the proposed control scheme are demonstrated through computer simulations.
An Auto Playlist Generation System with One Seed Song
Bang, Sung-Woo ; Jung, Hye-Wuk ; Kim, Jae-Kwang ; Lee, Jee-Hyong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 19~24
DOI : 10.5391/IJFIS.2010.10.1.019
The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users have a tendency to build playlist for manage songs. However the manual selection of songs for creating playlist is a troublesome work. This paper proposes an auto playlist generation system considering user context of use and preferences. This system has two separated systems; 1) the mood and emotion classification system and 2) the music recommendation system. Firstly, users need to choose just one seed song for reflecting their context of use. Then system recommends candidate song list before the current song ends in order to fill up user playlist. User also can remove unsatisfied songs from the recommended song list to adapt the user preference model on the system for the next song list. The generated playlists show well defined mood and emotion of music and provide songs that the preference of the current user is reflected.
Development of Motion Control Camera Design Based on Wires with Anti-sway Method
Kim, Tae-Rim ; Jung, Sung-Young ; Baek, Gyeong-Dong ; Kim, Sung-Shin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 25~30
DOI : 10.5391/IJFIS.2010.10.1.025
This paper is proposed about three axis motion control camera design method based on wires. Original motion control camera consists of track, boom, L-Head, Camera and so on and is enormous and expensive. But proposed motion control camera adjusts wire length using encoders and motors. And position control use position based straight line of straight-line move method for moving precise position. Proposed simple design is able to use various place and inexpensive than original motion control camera. But, camera was vibrated and rotated due to basic property of wire. So we proposed solutions that connected method of wire and using a tensional object for reducing rotation. For proposed algorithm verification, we realized three axis motion control camera based on wire and measured oscillation while moving same trace. We confirmed the results that standard deviation of oscillation was reduced 4.93 degree than before design method.
Empirical Comparisons of Clustering Algorithms using Silhouette Information
Jun, Sung-Hae ; Lee, Seung-Joo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 31~36
DOI : 10.5391/IJFIS.2010.10.1.031
Many clustering algorithms have been used in diverse fields. When we need to group given data set into clusters, many clustering algorithms based on similarity or distance measures are considered. Most clustering works have been based on hierarchical and non-hierarchical clustering algorithms. Generally, for the clustering works, researchers have used clustering algorithms case by case from these algorithms. Also they have to determine proper clustering methods subjectively by their prior knowledge. In this paper, to solve the subjective problem of clustering we make empirical comparisons of popular clustering algorithms which are hierarchical and non hierarchical techniques using Silhouette measure. We use silhouette information to evaluate the clustering results such as the number of clusters and cluster variance. We verify our comparison study by experimental results using data sets from UCI machine learning repository. Therefore we are able to use efficient and objective clustering algorithms.
Evaluating Mental State of Final Year Students Based on POMS Questionnaire and HRV Signal
Handri, Santoso ; Nomura, Shusaku ; Nakamura, Kazuo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 37~42
DOI : 10.5391/IJFIS.2010.10.1.037
Final year students are normally encountering high pressing in their study. In view of this fact, this research focuses on determining mental states condition of college student in final year based on the psycho-physiological information. The experiments were conducted in two times, i.e., prior- and post- graduation seminar examination. The early results indicated that the student profile of mood states (POMS) in prior final graduation seminar showed higher scores than students in post final graduation seminar. Thus, in this research, relation between biosignal representing by heart rate variability (HRV) and questionnaire responses were evaluated by hidden Markov model (HMM) and neural networks (NN).
Experimental Studies of Neural Compensation Technique for a Fuzzy Controlled Inverted Pendulum System
Lee, Geun-Hyeong ; Jung, Seul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 43~48
DOI : 10.5391/IJFIS.2010.10.1.043
This article presents the experimental studies of controlling angle and position of the inverted pendulum system using neural network to compensate for errors caused due to fuzzy controller. Although fuzzy control method can deal with nonlinearities of the system, fixed fuzzy rules may not work and result in tracking errors in some cases. First, a nominal Takagi-Sugeno (TS) type fuzzy controller with fixed weights is used for controlling the inverted pendulum system. Then the neural network is added at the reference input to form the reference compensation technique (RCT)control structure. Neural network modifies the input trajectories to improve system performances by updating internal weights in on-line fashion. The back-propagation learning algorithm for neural network is derived and used to update weights. Control hardware of a DSP 6713 board to have real time control is implemented. Experimental results of controlling inverted pendulum system are conducted and performances are compared.
Intelligent Mobile Agents in Personalized u-learning
Cho, Sung-Jin ; Chung, Hwan-Mook ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 49~53
DOI : 10.5391/IJFIS.2010.10.1.049
e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.
Interval-Valued Fuzzy mα-Continuous Mappings on Interval-Valued Fuzzy Minimal Spaces
Min, Won-Keun ; Yoo, Young-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 54~58
DOI : 10.5391/IJFIS.2010.10.1.054
We introduce the concepts of interval-valued fuzzy
-open sets and interval-valued fuzzy
-continuous mappings. And we study some characterizations and properties of such concepts.
Membership Function-based Classification Algorithms for Stability improvements of BCI Systems
Yeom, Hong-Gi ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 59~64
DOI : 10.5391/IJFIS.2010.10.1.059
To improve system performance, we apply the concept of membership function to Variance Considered Machines (VCMs) which is a modified algorithm of Support Vector Machines (SVMs) proposed in our previous studies. Many classification algorithms separate nonlinear data well. However, existing algorithms have ignored the fact that probabilities of error are very high in the data-mixed area. Therefore, we make our algorithm ignore data which has high error probabilities and consider data importantly which has low error probabilities to generate system output according to the probabilities of error. To get membership function, we calculate sigmoid function from the dataset by considering means and variances. After computation, this membership function is applied to the VCMs.
Robust Pelvic Coordinate System Determination for Pose Changes in Multidetector-row Computed Tomography Images
Kobashi, Syoji ; Fujimoto, Satoshi ; Nishiyama, Takayuki ; Kanzaki, Noriyuki ; Fujishiro, Takaaki ; Shibanuma, Nao ; Kuramoto, Kei ; Kurosaka, Masahiro ; Hata, Yutaka ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 65~72
DOI : 10.5391/IJFIS.2010.10.1.065
For developing navigation system of total hip arthroplasty (THA) and evaluating hip joint kinematics, 3-D pose position of the femur and acetabulum in the pelvic coordinate system has been quantified. The pelvic coordinate system is determined by manually indicating pelvic landmarks in multidetector-row computed tomography (MDCT) images. It includes intra- and inter-observer variability, and may result in a variability of THA operation or diagnosis. To reduce the variability of pelvic coordinate system determination, this paper proposes an automated method in MDCT images. The proposed method determines pelvic coordinate system automatically by detecting pelvic landmarks on anterior pelvic plane (APP) from MDCT images. The method calibrates pelvic pose by using silhouette images to suppress the affect of pelvic pose change. As a result of comparing with manual determination, the proposed method determined the coordinate system with a mean displacement of
mm and a mean angle error of
deg on 5 THA subjects. For changes of pelvic pose position within 10 deg, standard deviation of displacement was 3.7 mm, and of pose was 1.28 deg. We confirmed the proposed method was robust for pelvic pose changes.
The Category VSet(H)
Lim, Pyung-Ki ; Kim, So-Ra ; Hur, Kul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 73~81
DOI : 10.5391/IJFIS.2010.10.1.073
We introduce the new category VSet(H) consisting of H-fuzzy spaces and H-fuzzy mappings between them satisfying a certain condition, and investigate VSet(H) in the sense of a topological universe. Moreover, we show that VSet(H) is Cartesian closed over Set.
The Intuitionistic Fuzzy Normal Subgroup
Marashdeh, Mohammed F. ; Salleh, Abdul Razak ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 82~88
DOI : 10.5391/IJFIS.2010.10.1.082
In this paper we continue the study of intuitionistic fuzzy groups by introducing the notion of intuitionistic fuzzy normal subgroup based on intuitionistic fuzzy space as a generalization of fuzzy normal subgroup.
VS-FCM: Validity-guided Spatial Fuzzy c-Means Clustering for Image Segmentation
Kang, Bo-Yeong ; Kim, Dae-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 1, 2010, Pages 89~93
DOI : 10.5391/IJFIS.2010.10.1.089
In this paper a new fuzzy clustering approach to the color clustering problem has been proposed. To deal with the limitations of the traditional FCM algorithm, we propose a spatial homogeneity-based FCM algorithm. Moreover, the cluster validity index is employed to automatically determine the number of clusters for a given image. We refer to this method as VS-FCM algorithm. The effectiveness of the proposed method is demonstrated through various clustering examples.