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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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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 18, Issue 6 - Dec 2008
Volume 18, Issue 5 - Oct 2008
Volume 18, Issue 4 - Aug 2008
Volume 18, Issue 3 - Jun 2008
Volume 18, Issue 2 - Apr 2008
Volume 18, Issue 1 - Feb 2008
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Object tracking algorithm of Swarm Robot System for using SVM and Dodecagon based Q-learning
Seo, Sang-Wook ; Yang, Hyun-Chang ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 291~296
DOI : 10.5391/JKIIS.2008.18.3.291
This paper presents the dodecagon-based Q-leaning and SVM algorithm for object search with multiple robots. We organized an experimental environment with several mobile robots, obstacles, and an object. Then we sent the robots to a hallway, where some obstacles were tying about, to search for a hidden object. In experiment, we used four different control methods: a random search, a fusion model with Distance-based action making(DBAM) and Area-based action making(ABAM) process to determine the next action of the robots, and hexagon-based Q-learning and dodecagon-based Q-learning and SVM to enhance the fusion model with Distance-based action making(DBAM) and Area-based action making(ABAM) process.
Combining Radar and Rain Gauge Observations Utilizing Gaussian-Process-Based Regression and Support Vector Learning
Yoo, Chul-Sang ; Park, Joo-Young ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 297~305
DOI : 10.5391/JKIIS.2008.18.3.297
Recently, kernel methods have attracted great interests in the areas of pattern classification, function approximation, and anomaly detection. The role of the kernel is particularly important in the methods such as SVM(support vector machine) and KPCA(kernel principal component analysis), for it can generalize the conventional linear machines to be capable of efficiently handling nonlinearities. This paper considers the problem of combining radar and rain gauge observations utilizing the regression approach based on the kernel-based gaussian process and support vector learning. The data-assimilation results of the considered methods are reported for the radar and rain gauge observations collected over the region covering parts of Gangwon, Kyungbuk, and Chungbuk provinces of Korea, along with performance comparison.
W3C XQuery Update facility on SQL hosts
Hong, Dong-Kweon ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 306~310
DOI : 10.5391/JKIIS.2008.18.3.306
XQuery is a new recommendation for XML query. As an efforts for extending XQuery capabilities XML insertion and deletion are being studied and its standardization are going on. Initially XML databases are developed simply for XML document management. Now their functions are extending to OLTP. In this paper we are adding updating functions to XQuery processing system that is developed only for XQuery retrievals. We suggest the structure of tables, numbering schemes for hierarchical structures, and the methods for SQL translations for XQuery updates.
Structural characterizations of monotone interval-valued set functions defined by the interval-valued Choquet integral
Jang, Lee-Chae ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 311~315
DOI : 10.5391/JKIIS.2008.18.3.311
We introduce nonnegative interval-valued set functions and nonnegative measurable interval-valued Junctions. Then the interval-valued Choquet integral determines a new nonnegative monotone interval-valued set function which is a generalized concept of monotone set function defined by Choquet integral in . We also obtained absolutely continuity of them in . In this paper, we investigate some characterizations of the monotone interval-valued set function defined by the interval-valued Choquet integral, and such as subadditivity, superadditivity, null-additivity, converse-null-additivity.
Interval-Valued Intuitionistic Fuzzy Soft Sets
Min, Won-Keun ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 316~322
DOI : 10.5391/JKIIS.2008.18.3.316
We introduce the concept of interval-valued intuitionistic fuzzy soft sets, which is an extension of the interval-valued fuzzy soft set. We also introduce the concepts of operations for the interval-valued intuitionistic fuzzy soft sets and study basic some properties.
A Design of Superscalar Digital Signal Processor
Park, Sung-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 323~328
DOI : 10.5391/JKIIS.2008.18.3.323
This paper presents a Digital Signal Processor achieving high through-put for both decision intensive and computation intensive tasks. The proposed processor employees a multiplier, two ALU and load/store. Unit as operational units. Those four units are controlled and works parallel by superscalar control scheme, which is different from prior DSP architecture. The performance evaluation was done by implementing AC-3 decoding algorithm and 37.8% improvement was achieved. This study is valuable especially for the consumer electronics applications, which require very low cost.
Analysis on Climbing Capability of Wheel Drive Robotic Mechanisms
Kim, Byoung-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 329~334
DOI : 10.5391/JKIIS.2008.18.3.329
It is well-known that a kind of wheel drive mechanism is usefully employed in various service robots. One of the essential requirements for such robots is regarded as the capability of climbing that enables them to run on an inclined road smoothly. So, this paper considers the capability of climbing in a wheel drive robotic mechanism and proposes a necessary discriminating condition to determine the specification of a driving actuator which will be employed. Consequently, it is expected that the proposed discriminating condition can be applied to wheel drive robotic mechanisms in the design aspect.
Decentralized Fuzzy Output Feedback Controller for Nonlinear Interconnected System with Time Delay
Koo, Geun-Bum ; Park, Jin-Bae ; Joo, Young-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 335~340
DOI : 10.5391/JKIIS.2008.18.3.335
In this paper, a decentralized fuzzy output feedback controller for nonlinear interconnected systems with time delay is proposed. The nonlinear interconnected system is represented to fuzzy system using Takagi-Sugeno (T-S) fuzzy model. The decentralized output feedback controller is designed(or stability of subsystems of the fuzzy interconnected system. The stable condition of the closed-loop subsystem is represented to the linear matrix inequality (LMI) form and control gain is obtained by LMI. An example is given to show the verification discussed throughout the paper.
Development of Smart Cargo Level Sensors Including Diagnostics Function for Liquid Cargo Ships
Bae, Hyeon ; Kim, Youn-Tai ; Park, Dae-Hoon ; Kim, Sung-Shin ; Choi, Moon-Ho ; Jang, Yong-Suk ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 341~346
DOI : 10.5391/JKIIS.2008.18.3.341
This paper is to develop a monitoring system with diagnosis for smart cargo sensors that is for management and maintenance of the liquid cargo ships. The main goal of the system is to achieve the total automation system of the cargo sensor. By this study, the active smart sensor for the liquid cargo ships is designed and developed that guarantees high-confidence, stability, and durability. The proposed system consists of a monitoring part of the steam pressure, high-level monitoring, over flowing monitoring, gas monitoring, and tank temperature monitoring. The signals transferred from each unit system are used for sensor diagnosis based on confidence and accuracy. Finally, in this study, the total supervisory monitoring system is developed to maintain and manage the cargo effectively based on fault diagnosis and prognosis of the each sensor system.
Design of Ontology-based Intelligent Agents
Lee, In-K. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 347~353
DOI : 10.5391/JKIIS.2008.18.3.347
The realization of intelligence by using ontology is getting attention recently. However, it is necessary to design ontology models suitable to their purpose in order to use efficiently the intelligence realized by ontology. In this paper, we define a cognition cycle for intelligent agents representing a process that the intelligent agents recognize an event and react to it. Moreover, we design an ontology-based intelligent agent, and propose an ontology model that is possible to change the agent's states, to express its emotions, and to expand its intelligence through ontological inference. Finally, we develop an intelligent agent named Helen, confirm the change of her inner states according to the environment and situation, and show the easiness of the extension of her intelligence.
Clustering Method for Reduction of Cluster Center Distortion
Jeong, Hye-C. ; Seo, Suk-T. ; Lee, In-K. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 354~359
DOI : 10.5391/JKIIS.2008.18.3.354
Clustering is a method to classify the given data set with same property into several classes. To cluster data, many methods such as K-Means, Fuzzy C-Means(FCM), Mountain Method(MM), and etc, have been proposed and used. But the clustering results of conventional methods are sensitively influenced by initial values given for clustering in each method. Especially, FCM is very sensitive to noisy data, and cluster center distortion phenomenon is occurred because the method dose clustering through minimization of within-clusters variance. In this paper, we propose a clustering method which reduces cluster center distortion through merging the nearest data based on the data weight, and not being influenced by initial values. We show the effectiveness of the proposed through experimental results applied it to various types of data sets, and comparison of cluster centers with those of FCM.
Selection Method of Fuzzy Partitions in Fuzzy Rule-Based Classification Systems
Son, Chang-S. ; Chung, Hwan-M. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 360~366
DOI : 10.5391/JKIIS.2008.18.3.360
The initial fuzzy partitions in fuzzy rule-based classification systems are determined by considering the domain region of each attribute with the given data, and the optimal classification boundaries within the fuzzy partitions can be discovered by tuning their parameters using various learning processes such as neural network, genetic algorithm, and so on. In this paper, we propose a selection method for fuzzy partition based on statistical information to maximize the performance of pattern classification without learning processes where statistical information is used to extract the uncertainty regions (i.e., the regions which the classification boundaries in pattern classification problems are determined) in each input attribute from the numerical data. Moreover the methods for extracting the candidate rules which are associated with the partition intervals generated by statistical information and for minimizing the coupling problem between the candidate rules are additionally discussed. In order to show the effectiveness of the proposed method, we compared the classification accuracy of the proposed with those of conventional methods on the IRIS and New Thyroid Cancer data. From experimental results, we can confirm the fact that the proposed method only considering statistical information of the numerical patterns provides equal to or better classification accuracy than that of the conventional methods.
State Transition Fault Diagnosis in Brushless DC Motor Based on Fuzzy System
Baek, Gyeong-Dong ; Kim, Youn-Tae ; Kim, Sung-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 367~372
DOI : 10.5391/JKIIS.2008.18.3.367
In this paper we proposed a model of a fault diagnosis expert system with high reliability to compare identical well-functioning motors. The purpose of the survey was to determine if any differences exit among these identical motors and to identify exactly what these differences were, if in fact they were found. Using measured data for many identical brushless dc motors, this study attempted to find out whether normal and fault can be classified by each other. Measured data was analyzed using the State Transition Model (STM). Based on a proposed STM method, the effect of a different normal state is minimized and the detection of fault is improved in identical motor system. Experimental results are presented to prove that STM method could be a useful tool for diagnosing the condition of identical BLDE motors.
A Study on Human Recognition Experiments with Handwritten Digit for Machine Recognition of Handwritten Digit
Yoon, Sung-Soo ; Chung, Hyun-Sook ; Yi, Kwang-Oh ; Lee, Yill-Byeong ; Lee, Sang-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 373~380
DOI : 10.5391/JKIIS.2008.18.3.373
So far there have been many researches on machine-based recognition of handwritten digit. But we have not yet attained the level of performance that can be satisfactory to men. The dissatisfaction with the performance of machine comes from not only the low accuracy of recognition but also the dissimilarity of the recognition results between man and machine. To reduce the difference of machine from man we first made an experiment with the human recognition of handwritten digits and then inquiry into the way of the human recognition that makes the results of men different from that of machine. We found out the attributes that play an important role in the human recognition process through the analysis of the experimental results like uni- and bi-directional confused pairs of digits, several ones unmixed up with another and the redundancy of mis-recognition, and proposed the approach direction to be able to improve the accuracy of the machine-based recognition, and furthermore the similarity in the recognition results of men and machine on the basis of the found facts above.
Improvement of Head Related Transfer Function to Create Realistic 3D Sound
Koo, Kyo-Sik ; Cha, Hyung-Tai ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 381~386
DOI : 10.5391/JKIIS.2008.18.3.381
Virtual 3D audio methods that create 3D sound effects are researched highly for multimedia devices using 2 speakers or headphone. The most typical method to create 3D effects is a technology through use of head related transfer function (HRTF) which contains the information that sound arrives from a sound source to the ears of the listener. But it can decline some 3D effects by cone of confusion between front and back directions due to the non-individual HRTF depending on each listener. In this paper, we propose a new method to use psychoacoustic theory that creates realistic 3D audio. In order to improve 3D sound, we calculate the excitation energy of each symmetric HRTF and extract the ratio of energy of each bark range. Informal listening tests show that the proposed method improves the front-bach sound localization characteristics much better than the conventional methods.
Layered Object Detection using Adaptive Gaussian Mixture Model in the Complex and Dynamic Environment
Lee, Jin-Hyung ; Cho, Seong-Won ; Kim, Jae-Min ; Chung, Sun-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 387~391
DOI : 10.5391/JKIIS.2008.18.3.387
For the detection of moving objects, background subtraction methods are widely used. In case the background has variation, we need to update the background in real-time for the reliable detection of foreground objects. Gaussian mixture model (GMM) combined with probabilistic learning is one of the most popular methods for the real-time update of the background. However, it does not work well in the complex and dynamic backgrounds with high traffic regions. In this paper, we propose a new method for modelling and updating more reliably the complex and dynamic backgrounds based on the probabilistic learning and the layered processing.
A Novel Optimization Algorithm Inspired by Bacteria Behavior Patterns
Jung, Sung-Hoon ; Kim, Tae-Geon ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 392~400
DOI : 10.5391/JKIIS.2008.18.3.392
This paper proposes a novel optimization algorithm inspired by bacteria behavior patterns for foraging. Most bacteria can trace attractant chemical molecules for foraging. This tracing capability of bacteria called chemotaxis might be optimized for foraging because it has been evolved for few millenniums. From this observation, we developed a new optimization algorithm based on the chemotaxis of bacteria in this paper. We first define behavior and decision rules based on the behavior patterns of bacteria and then devise an optimization algorithm with these behavior and decision rules. Generally bacteria have a quorum sensing mechanism that makes it possible to effectively forage, but we leave its implementation as a further work for simplicity. Thereby, we call our algorithm a simple bacteria cooperative optimization (BCO) algorithm. Our simple BCO is tested with four function optimization problems on various' parameters of the algorithm. It was found from experiments that the simple BCO can be a good framework for optimization.
Kim, Yong-Chan ; Kim, Young-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 401~405
DOI : 10.5391/JKIIS.2008.18.3.401
We investigate the properties of fuzzy relations and
-equivalence relation on a stsc quantale lattice L and a commutative cqm-lattice. In particular, fuzzy relations preserve(*,
)-equivalence relations where
Fuzzy (r, s)-pre-semicontinuous mappings
Lee, Seok-Jong ; Kim, Jin-Tae ; Eoum, Youn-Suk ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 406~411
DOI : 10.5391/JKIIS.2008.18.3.406
In this paper, we introduce the concept of fuzzy (r, s)-pre-semicontinuous mappings on intuitionistic fuzzy topological spaces in Sostak's sense. The concepts of fuzzy (r, s)-pre-semineighborhood and fuzzy (r, s)-quasi-pre-semineighborhood are given. The characterizations for the fuzzy (r, s)-pre-semicontinuous mappings are obtained. Also, we introduce the notions of fuzzy (r, s)-pre-semiopen and fuzzy (r, s)-pre-semiclosed mappings, and then we investigate some of their characteristic properties.
A Note on Interval-Valued Fuzzy Soft Sets
Min, Won-Keun ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 412~415
DOI : 10.5391/JKIIS.2008.18.3.412
In this paper, we show that the concepts of null interval-valued fuzzy and absolute interval-valued fuzzy soft sets are not reasonable. Thus we introduce the modified concepts for them and study some properties. Also we introduce an operation for the interval-valued fuzzy soft set theory and study basic properties.
A Recognition of Traffic Safety Signs Using Japanese Puzzle
Sohn, Young-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 416~421
DOI : 10.5391/JKIIS.2008.18.3.416
This paper realizes a system that recognizes traffic safety signs by applying the principle used for game in reverse. The game used for this paper is one that expresses the shape of temporary objects intended by the maker when the maker sees the numerical image provided on (x, y) coordinates and then expresses it on the mesh. After separating the traffic safety sign image from the input image, the system is realized by outputting the content of the sign into letters by recognizing the forms and colors constituting the sign using the puzzle game above. Our system has fast process time and better rate of recognition than the existing system with black-and-white image processing and recognition without any penciling progress.
Robust Object Detection Algorithm Using Spatial Gradient Information
Joo, Young-Hoon ; Kim, Se-Jin ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 422~428
DOI : 10.5391/JKIIS.2008.18.3.422
In this paper, we propose the robust object detection algorithm with spatial gradient information. To do this, first, we eliminate error values that appear due to complex environment and various illumination change by using prior methods based on hue and intensity from the input video and background. Visible shadows are eliminated from the foreground by using an RGB color model and a qualified RGB color model. And unnecessary values are eliminated by using the HSI color model. The background is removed completely from the foreground leaving a silhouette to be restored using spatial gradient and HSI color model. Finally, we validate the applicability of the proposed method using various indoor and outdoor conditions in a complex environments.
Design and Implementation of UV Flame Detector Module Using Low Power Algorithm of ZigBee
Lee, Young-Jae ; Chang, Choong-Won ; Rhee, Sang-Yong ; Jung, Min-Su ;
Journal of Korean Institute of Intelligent Systems, volume 18, issue 3, 2008, Pages 429~436
DOI : 10.5391/JKIIS.2008.18.3.429
Nowadays fires must be detected rapidly Abstract, and by connecting the detector's distribution, sender, transponder, receiver and others can be connected. Mechanical systems are implemented in today's buildings. However, this kind of constructing method has some disadvantages, that is, if fire happens somewhere, we cannot judge where the fires happen, and it is also difficult to judge what extent the fires reach. In order to overcome the disadvantages, in this paper, according to the tendency of combining the Ubiquitous and Intelligent Network, we propose a type of system by using the method of comparing the differences of the existed systems. The proposed system is designed to perceive the fires rapidly and confirm the fire place and fire scale correctly.