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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Intelligent Systems
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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 17, Issue 7 - Dec 2007
Volume 17, Issue 6 - Dec 2007
Volume 17, Issue 5 - Oct 2007
Volume 17, Issue 4 - Aug 2007
Volume 17, Issue 3 - Jun 2007
Volume 17, Issue 2 - Apr 2007
Volume 17, Issue 1 - Feb 2007
Selecting the target year
Modified Transformation and Evaluation for High Concentration Ozone Predictions
Cheon, Seong-Pyo ; Kim, Sung-Shin ; Lee, Chong-Bum ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 435~442
DOI : 10.5391/JKIIS.2007.17.4.435
To reduce damage from high concentration ozone in the air, we have researched how to predict high concentration ozone before it occurs. High concentration ozone is a rare event and its reaction mechanism has nonlinearities and complexities. In this paper, we have tried to apply and consider as many methods as we could. We clustered the data using the fuzzy c-mean method and took a rejection sampling to fill in the missing and abnormal data. Next, correlations of the input component and output ozone concentration were calculated to transform more correlated components by modified log transformation. Then, we made the prediction models using Dynamic Polynomial Neural Networks. To select the optimal model, we adopted a minimum bias criterion. Finally, to evaluate suggested models, we compared the two models. One model was trained and tested by the transformed data and the other was not. We concluded that the modified transformation effected good to ideal performance In some evaluations. In particular, the data were related to seasonal characteristics or its variation trends.
Threshold Selection Method in Gray Images Based on Interval-Valued Fuzzy Sets
Son, Chang-S. ; Chung, Hwan-M. ; Seo, Suk-T. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 443~450
DOI : 10.5391/JKIIS.2007.17.4.443
In this paper, we propose a novel threshold selection method based on statistical information on gray-levels of given images and interval-valued fuzzy sets. In the proposed threshold selection method, the interval-valued fuzzy set is used to represent more definitely the relationship between a pixel and its belonging region, that is, the object and the background. Also the statistical information on gray-level is used to determine the rules and partitions of interval-valued fuzzy sets. To show the validity of the proposed method, we compared the performance of the proposed with those of conventional methods such as Otsu`s method, Huang and Wang`s method applied to 5 test images with various types of histograms.
Interval-valued Choquet integrals and applications in pricing risks
Jang, Lee-Chae ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 451~454
DOI : 10.5391/JKIIS.2007.17.4.451
Non-additive measures and their corresponding Choquet integrals are very useful tools which are used in both insurance and financial markets. In both markets, it is important to update prices to account for additional information. The update price is represented by the Choquet integral with respect to the conditioned non-additive measure. In this paper, we consider a price functional H on interval-valued risks defined by interval-valued Choquet integral with respect to a non-additive measure. In particular, we prove that if an interval-valued pricing functional H satisfies the properties of monotonicity, comonotonic additivity, and continuity, then there exists an two non-additive measures
such that it is represented by interval-valued choquet integral on interval-valued risks.
A note on distance measure and similarity measure defined by Choquet integral on interval-valued fuzzy sets
Jang, Lee-Chae ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 455~459
DOI : 10.5391/JKIIS.2007.17.4.455
Interval-valued fuzzy sets were suggested for the first time by Gorzafczany(1983) and Turksen(1986). Based on this, Zeng and Li(2006) introduced concepts of similarity measure and entropy on interval-valued fuzzy sets which are different from Bustince and Burillo(1996). In this paper, by using Choquet integral with respect to a fuzzy measure, we introduce distance measure and similarity measure defined by Choquet integral on interval-valued fuzzy sets and discuss some properties of them. Choquet integral is a generalization concept of Lebesgue inetgral, because the two definitions of Choquet integral and Lebesgue integral are equal if a fuzzy measure is a classical measure.
A Fuzzy-Rough Classification Method to Minimize the Coupling Problem of Rules
Son, Chang-S. ; Chung, Hwan-M. ; Seo, Suk-T. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 460~465
DOI : 10.5391/JKIIS.2007.17.4.460
In this paper, we propose a novel pattern classification method based on statistical properties of the given data and fuzzy-rough set to minimize the coupling problem of the rules. In the proposed method, statistical properties is used by a selection criteria for deciding a partition number of antecedent fuzzy sets, and for minimizing an coupling problem of the generated rules. Moreover, rough set is used as a tool to remove unnecessary attributes between generated rules from the numerical data. In order to verify the validity of the proposed method, we compared the classification results (i.e, classification precision) of the proposed with the conventional pattern classification methods on the Fisher`s IRIS data. From experiment results, we can conclude that the proposed method shows relatively better performance than those of the classification methods based on the conventional approaches.
Binarization Based on the Spatial Correlation of Gray Levles
Seo, Suk-T. ; Son, Seo-H. ; Lee, In-K. ; Jeong, Hye-C. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 466~471
DOI : 10.5391/JKIIS.2007.17.4.466
Conventional thresholding methods including Otsu`s thresholding method are based on the gray levels frequency histogram. But the gray levels frequency histogram is obtained by recomposing only frequency information from an input image, where frequency histogram dose not contain any other informations such as the distribution of gray levels and relation between gray levels. Therefore the methods using the gray levels frequency histogram occasionally present inappropriate threshold values because it cannot reflect informations of the given image sufficiently. In this paper, we define a correlation function of gray levels and propose a novel thresholding method using the gray levels frequency histogram and the spatial correlation information. The effectiveness of the proposed method will be shown through comparison with Otsu`s thresholding method.
Fuzzy Learning Rule Using the Distance between Datum and the Centroids of Clusters
Kim, Yong-Soo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 472~476
DOI : 10.5391/JKIIS.2007.17.4.472
Learning rule affects importantly the performance of neural network. This paper proposes a new fuzzy learning rule that uses the learning rate considering the distance between the input vector and the prototypes of classes. When the learning rule updates the prototypes of classes, this consideration reduces the effect of outlier on the prototypes of classes. This comes from making the effect of the input vector, which locates near the decision boundary, larger than an outlier. Therefore, it can prevents an outlier from deteriorating the decision boundary. This new fuzzy learning rule is integrated into IAFC(Integrated Adaptive Fuzzy Clustering) fuzzy neural network. Iris data set is used to compare the performance of the proposed fuzzy neural network with those of other supervised neural networks. The results show that the proposed fuzzy neural network is better than other supervised neural networks.
A Design of Multi-Format Audio Decoder
Park, Sung-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 477~482
DOI : 10.5391/JKIIS.2007.17.4.477
This paper presents an audio decoder architecture which can decode AC-3 and MPEG-2 audio bit-streams efficiently. MPEG-2 synthesis filtering is modified by the 32-point FFT to share the common data path with the AC-3`s. A programmable Audio DSP core and a hardwired common synthesis tilter are incorporated for effective decoding of two different formats.
Observer Design for Linear Neutral Systems with Time-Varying Delays
Song, Min-Kook ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 483~487
DOI : 10.5391/JKIIS.2007.17.4.483
This paper is concerned with the observer design problem for linear neutral systems with time-varying delays. The problem addressed is that of designing a full-order observer that guarantees the exponential stability of the error system. An effective algebraic matrix equation approach is developed to solve this problem. In particular, both observer analysis and design problems are investigated. Sufficient conditions for a linear neutral system to be stable are first established. Furthermore, an illustrative example is used to demonstrate the validity of the proposed design procedure.
Collaborative Filtering with Improved Quantification Process for Real-time Context Information
Lee, Se-Il ; Lee, Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 488~493
DOI : 10.5391/JKIIS.2007.17.4.488
In general, recommendation systems quantify real-time context information obtained in the stage of collaborative filtering and use quantified context information in order to recommend services. But the recommendation systems can have problems of recommending inaccurate information because of lack of context information or classifying users into inaccurate groups because of simple classification works in the stage of quantification. In this paper, we solved the problems of lack of context information obtained in real-time by combining users` profile information used in the contents-based filtering and context information obtained in real-time. In addition, we tried collaborative filtering at the quantification stage by improving absolute classification methods to relative ones. As the result of experiments, this method improved prediction preference by 5.8% than real-time recommendation systems using context information in pure P2P environment.
Human Friendly Recognition and Editing Support System of Korean Language
Sohn, Young-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 494~499
DOI : 10.5391/JKIIS.2007.17.4.494
In this paper we realized a system, if a user selects the area of the important parts or the arrangement parts when he reads the books or the papers, which amends, stores and readjusts the characters that are included in the selected area by outputting the characters to the word processor in sequence. If a user selects what he wishes lot with his finger, the system detects the movement of the finger by applying the hand recognition algorithm and recognizes the selected area. The system converts the distance of the width and the length of the selected area to the number of the pulse, and controls the motor to move the camera at the position. After the system scales up/down the zoom to be able to recognize the character and controls the focus to the regulated zoom closely, it controls the focus in detail to get more distinct image by using the difference of the light and darkness. We realize the recognition and editing support system of korean language that converts the obtained images to the document by applying the character recognition algorithm and arrange the important parts.
The Design of Robot Arm based on the Morphological.Neurological Model of Human
Bae, Young-Chul ; Choi, Hyeong-Yoon ; Moon, Yong-Seon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 500~505
DOI : 10.5391/JKIIS.2007.17.4.500
Current humanoid robot technology has a problem of lacking opened methodology about mechanisms of analysis, design, implementation, and integration for robot development but is focused only on manufacture robot and implementation of technology. In this paper, to overcome problems of humanoid robots that have been shown since and for construction of new structure which satisfy the concept of opening, networking, and modularization that is the development direction of future robot, we proposed morphological and neurological model of human arm and design method of humanoid robot arm based on the each joint design and kinematics model.
Simultaneous Localization and Mapping of Mobile Robot using Digital Magnetic Compass and Ultrasonic Sensors
Kim, Ho-Duck ; Seo, Sang-Wook ; Jang, In-Hun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 506~510
DOI : 10.5391/JKIIS.2007.17.4.506
Digital Magnetic Compass(DMC) has a robust feature against interference in the indoor environment better than compass which is easily disturbed by electromagnetic sources or large ferromagnetic structures. Ultrasonic Sensors are cheap and can give relatively accurate range readings. So they ate used in Simultaneous Localization and Mapping(SLAM). In this paper, we study the Simultaneous Localization and Mapping(SLAM) of mobile robot in the indoor environment with Digital Magnetic Compass and Ultrasonic Sensors. Autonomous mobile robot is aware of robot`s moving direction and position by the restricted data. Also robot must localize as quickly as possible. And in the moving of the mobile robot, the mobile robot must acquire a map of its environment. As application for the Simultaneous Localization and Mapping(SLAM) on the autonomous mobile robot system, robot can find the localization and the mapping and can solve the Kid Napping situation for itself. Especially, in the Kid Napping situation, autonomous mobile robot use Ultrasonic sensors and Digital Magnetic Compass(DMC)`s data for moving. The robot is aware of accurate location By using Digital Magnetic Compass(DMC).
An Efficient Face Recognition by Using Centroid Shift and Mutual Information Estimation
Cho, Yong-Hyun ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 511~518
DOI : 10.5391/JKIIS.2007.17.4.511
This paper presents an efficient face recognition method by using both centroid shift and mutual information estimation of images. The centroid shift is to move an image to center coordinate calculated by first moment, which is applied to improve the recognition performance by excluding the needless backgrounds in face image. The mutual information which is a measurements of correlations, is applied to efficiently measure the similarity between images. Adaptive partition mutual information(AP-MI) estimation is especially applied to find an accurate dependence information by equally partitioning the samples of input image for calculating the probability density function(PDF). The proposed method has been applied to the problem for recognizing the 48 face images(12 persons * 4 scenes) of 64*64 pixels. The experimental results show that the proposed method has a superior recognition performances(speed, rate) than a conventional method without centroid shift. The proposed method has also robust performance to changes of facial expression, position, and angle, etc. respectively.
Audio-Visual Localization and Tracking of Sound Sources Using Kalman Filter
Song, Min-Gyu ; Kim, Jin-Young ; Na, Seung-You ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 519~525
DOI : 10.5391/JKIIS.2007.17.4.519
With the high interest on robot technology and application, the research on artificial auditory systems for robot is very active. In this paper we discuss sound source localization and tracing based on audio-visual information. For video signals we use face detection based on skin color model. Also, binaural-based DOA is used as audio information. We integrate both informations using Kalman filter. The experimental results show that audio-visual person tracking Is useful, specially in the case that some informations are not observed.
A Study on Transactional Analysis and Job Satisfaction Using Pattern Analysis
Kim, Jong-Ho ; Hyun, Mi-Sook ; Hwang, Seung-Gook ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 526~533
DOI : 10.5391/JKIIS.2007.17.4.526
In this paper, we study to the pattern of job satisfaction using four theories of transactional analysis-egogram, life positions, strokes, time structuring-for organizational members. The tool of pattern analysis is used fuzzy TAM network which Is especially effective for pattern analysis. The input data of fuzzy TAM network ate values of four theories in transactional analysis, the output data is the classes which is divided by two groups from score of job satisfaction. From the result of this study, the correct rates of training data and checking data are 85-100% and 60%, respectively.
Intelligent Diagnosis System Based on Fuzzy Classifier
Sung, Hwa-Chang ; Park, Jin-Bae ; So, Jea-Yun ; Joo, Young-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 534~539
DOI : 10.5391/JKIIS.2007.17.4.534
In this paper, we present the development of an intelligent diagnosis system for detecting faults of the low voltage wires. The wire detecting system based on the Time-Frequency Domain Reflectometry (TFDR) algorithm shows the condition of the wires. We analyze the reflected signal which is sent from the wire detecting system and classify the fault type of the wires by using the intelligent diagnosis system. Through the TFDR, generally, the conditions of the wires are classified into the three types - damage, open and short. In order to classify the fault type efficiently, we use the fuzzy classifier which is represented as IF-THEN rules. Finally, we show the utility of the proposed algorithm by performing the simulation which is based on the data of the coaxial cable.
A Study on Intelligent Dimming Converter of Fluorescent Lamp
Choi, Jeong-Nae ; Back, Jin-Yeol ; Oh, Sung-Kwun ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 540~545
DOI : 10.5391/JKIIS.2007.17.4.540
In this thesis, we introduce and investigate new architectures and comprehensive design methodologies of intelligent dimming converter and evaluate the proposed model and the system through a series of numeric experiments. Electronic ballast enable prolongation of life foy Fluorescent-Lamp and ballast. However, There are no merit in case that user impossible manual control. Therefore in this paper, we put emphasis on the design of electronic ballast based on intelligent dimming converter and the energy saving according to the day-light and the user settings by applying the intelligent model to a fluorescent lamp. Also, we show the superiority of the proposed Intelligent dimming converter through the evaluation of performance with conventional electronic ballast by applying the intelligent model to hardware of systems.
Correlation of Intuitionistic Fuzzy Sets
Son, Mi-Jung ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 546~549
DOI : 10.5391/JKIIS.2007.17.4.546
When we deal with crisp data, it is common to find the correlation between variables. In this paper, we propose a method to calculate the correlation coefficient for intuitionistic fuzzy data, by adopting the concepts from the conventional statistics. The value of the correlation coefficient computed from our formula not only provides us the strength of the relationship of intuitionistic fuzzy sets, but also shows that the intuitionistic fuzzy sets are positively or negatively related.
Fuzzy (r, s)-semi-preopen sets and fuzzy (r, s)-semi-procontinuous maps
Lee, Seok-Jeong ; Kim, Jin-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 550~556
DOI : 10.5391/JKIIS.2007.17.4.550
In this paper, we introduce the concepts of fuzzy (r, s)-semi-preopen sets and fuzzy (r, s)-semi-precontinuous mappings on intuitionistic fuzzy topological spaces in
sense. The relations among fuzzy (r, s)-semicontinuous, fuzzy (r, s)-precontinuous, and fuzzy (r, s)-semi-precontinuous mappings we discussed. The concepts of fuzzy (r, s)-semi-preinterior, fuzzy (r, s)-semi-preclosure, fuzzy (r, s)-semi-preneighborhood, and fuzzy (r, s)-quasi-semi-preneighborhood are given. Using these concepts, the characterization for the fuzzy (r, s)-semi-precontinuous mapping is obtained. Also, we introduce the notions of fuzzy (r, s)-semi-preopen and fuzzy (r, s)-semi-preclosed mappings on intuitionistic fuzzy topological spaces in
sense, and then we investigate some of their characteristic properties.
Interval-valued Fuzzy Soft Sets
Son, Mi-Jung ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 557~562
DOI : 10.5391/JKIIS.2007.17.4.557
This paper extends the work of Maji et al. (2001) to present the concept of interval-valued fuzzy soft sets and to present an algorithm for finding where the degree of membership are represented by interval values in [0, 1]. The proposed method is more flexible than the one presented in Maji et at. (2001) due to the fact that it allows the degrees of membership of object for parameters to be represented by interval-values rather than crisp real values between zero and one.
Nonlinear Time Series Prediction Modeling by Weighted Average Defuzzification Based on NEWFM
Chai, Soo-Han ; Lim, Joon-Shik ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 563~568
DOI : 10.5391/JKIIS.2007.17.4.563
This paper presents a methodology for predicting nonlinear time series based on the neural network with weighted fuzzy membership functions (NEWFM). The degree of classification intensity is obtained by bounded sum of weighted fuzzy membership functions extracted by NEWFM, then weighted average defuzzification is used for predicting nonlinear time series. The experimental results demonstrate that NEWFM has the classification capability of 92.22% against the target class of GDP. The time series created by NEWFM model has a relatively close approximation to the GDP which is a typical business cycle indicator, and has been proved to be a useful indicator which has the turning point forecasting capability of average 12 months in the peak point and average 6 months in the trough point during 5th to 8th cyclical period. In addition, NEWFM measures the efficiency of the economic indexes by the feature selection and enables the users to forecast with reduced numbers of 7 among 10 leading indexes while improving the classification rate from 90% to 92.22%.
Low-power Single-Chip Current-to-Voltage Converter for Wireless OFDM Terminal Modem
Kim, Seong-Kweon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 4, 2007, Pages 569~574
DOI : 10.5391/JKIIS.2007.17.4.569