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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 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
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Optimal Parameter Selection in Edge Strength Hough Transform
Heo, Gyeong-Yong ; Woo, Young-Woon ; Kim, Kwang-Baek ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 575~581
DOI : 10.5391/JKIIS.2007.17.5.575
Though the Hough transform is a well-known method for detecting analytical shape represented by a number of free parameters, the basic property of the Hough transform, the one-to-many mapping from an image space to a Hough space, causes the innate problem, the sensitivity to noise. To remedy this problem, Edge Strength Hough Transform (ESHT) was proposed and proved to reduce the noise sensitivity. However the performance of ESHT depends on the size of a Hough space and image and some other parameters which should be decided experimentally. In this paper, we derived formulae to decide 2 parameter values; decreasing parameter and broadening parameter, which play an important role in ESHT. Using the derived formulae, 2 parameter values can be decided only with the pre-determined values, the size of a Hough space and an image, which make it possible to decide them automatically. The experiments with different parameter values also support the result.
Fuzzy Nonlinear Adaptive Control of Overhead Cranes for Anti-Sway Trajectory Tracking and High-Speed Hoisting Motion
Park, Mun-Soo ; Chwa, Dong-Kyoung ; Hong, Suk-Kyo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 582~590
DOI : 10.5391/JKIIS.2007.17.5.582
Nonlinear adaptive control of overhead cranes is investigated for anti-sway trajectory tracking with high-speed hoisting motion. The sway dynamics of two dimensional underactuated overhead cranes is heavily coupled with the trolley acceleration, hoisting rope length, and the hoisting velocity which is an obstacle in the design of decoupling control based anti-sway trajectory tracking control law To cope with this obstacle. we propose a fuzzy nonlinear adaptive anti-sway trajectory tracking control law guaranteeing the uniform ultimate boundedness of the sway dynamics even in the presence of uncertainties in such a way that it cancels the effect of the trolley acceleration and hoisting velocity on the sway dynamics. In particular. system uncertainties, including system parameter uncertainty unmodelled dynamics, and external disturbances, are compensated in an adaptive manner by utilizing fuzzy uncertainty observers. Accordingly, the ultimate bound of the tracking errors and the sway angle decrease to zero when the fuzzy approximation errors decrease to zero. Finally, numerical simulations are performed to confirm the effectiveness of the proposed scheme.
Reinforcement Learning Based Evolution and Learning Algorithm for Cooperative Behavior of Swarm Robot System
Seo, Sang-Wook ; Kim, Ho-Duck ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 591~597
DOI : 10.5391/JKIIS.2007.17.5.591
In swarm robot systems, each robot must behaves by itself according to the its states and environments, and if necessary, must cooperates with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, the new polygon based Q-learning algorithm and distributed genetic algorithms are proposed for behavior learning and evolution of collective autonomous mobile robots. And by distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning is adopted in this paper. we verify the effectiveness of the proposed method by applying it to cooperative search problem.
Automatic learning of fuzzy rules for the equivalent 2 layered hierarchical fuzzy system
Joo, Moon-G. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 598~603
DOI : 10.5391/JKIIS.2007.17.5.598
To solve the rule explosion problem in multi-input fuzzy system, a method of converting a given fuzzy system to 2 layered hierarchical fuzzy system has been reported, where at the 1st layer, linearly independent fuzzy rule vectors generated from the given fuzzy system are used and, at the 2nd layer, linear combinations of these independent fuzzy rule vectors are used. In this paper, the steapest descent algorithm is presented to learn the fuzzy rule vectors and related coefficients for the equivalent 2 layered hierarchical structure. By simulation of learning of ball and beam control system, the feasibility of proposed learning scheme is shown.
Ontology Integration based on MetaOntology
Lee, In-K. ; Hwang, Do-Sam ; Seo, Suk-T. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 604~613
DOI : 10.5391/JKIIS.2007.17.5.604
Researches are working on integration of ontology in order to reuse the constructed ontologies. And lots of tools lot ontology integration have been developed and used. However conventional methods and tools have following shortages: they cannot integrate more than three ontologies at once, and numbers of people cannot work together for ontology integration with the tools. In this paper, we propose an ontology integration process (OntoIntegProcess) by using MetaOntology. And we develop an ontology integration system (OntoIS) based on the process. We show the effectiveness of the proposed process and system through experimental results obtained from ontology integration.
Fuzzy Hypotheses Testing by Vague Response Data with Reflected Correlation
Kang, Man-Ki ; Lee, Chang-Eun ; Jung, Ji-Young ; Choi, Gue-Tak ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 614~618
DOI : 10.5391/JKIIS.2007.17.5.614
We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.
Ring-type Heart Rate Sensor and Monitoring system for Sensor Network Application
Jang, In-Hun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 619~625
DOI : 10.5391/JKIIS.2007.17.5.619
As low power, low cost wireless communication technology like Bluetooth, Zigbee, RFID has been put to practical use together with the wellbeing trend, the concern about ubiquitous health care has been greatly increased and u-Health is becoming one of the most important application in the sensor network field. Especially, development of the medical services to be able to cope with a state of emergency for solitary senior citizens and the aged in silver town is very meaningful itself and their needs are also expected to continuously increase with a rapid increase in an aging population. In this paper we demonstrate the feasibility of extracting accurate heart rate variability (HRV) measurements from photoelectric plethysmography(PPG) signals gathered by a ring type pulse oximeter sensor attached to the finger. For this, we made 2 types of ring sensor, that is reflective and pervious type, and developed the remote monitoring system which is able to collect HR data from ring sensor, analyze and cope with a state of emergency.
Ontology-based Navigational Planning for Autonomous Robots
Lee, In-K. ; Seo, Suk-T. ; Jeong, Hye-C. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 626~631
DOI : 10.5391/JKIIS.2007.17.5.626
Autonomous robots performing desired tasks in rough, changing, unstructured environments without continuous human assistance must have the ability to cope with its surroundings whether this be certain or not. The development of algorithms deriving useful conclusions from uncertain information obtained by various sensors may be the first for it. Recently ontology is taken great attention as a method useful for the representation and processing of knowledge. In this paper, we propose an ontology-based navigation algorithm for autonomous robots, and provide computer simulation results in order to show the validity of the proposed algorithm.
A Robust Watermarking Algorithm using Wavelet for Biometric Information
Lee, Wook-Jae ; Lee, Dae-Jong ; Moon, Ki-Young ; Chun, Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 632~639
DOI : 10.5391/JKIIS.2007.17.5.632
This paper presents a wavelet-based watermarking algorithm to securely hide biometric features such as face and fingerprint and effectively extract them with less distortion of the concealed data. To hide the biometric features, we proposed a determination method of insert location based on wavelet transform and adaptive weight method according to the image characteristics. The hidden features are effectively extracted by applying the inverse wavelet transform to the watermarked image. To show the effectiveness, we analyze the various performance such as PSNR and correlation of watermark features before and after applying watermarking. Also, we evaluate the effect of watermaking algorithm with respect to biometric system such as recognition rate. Recognition rate shows 98.67% for multimodal biometric systems consisted of face and fingerprint. From these, we confirm that the proposed method makes it possible to effectively hide and extract the biometric features without lowering recognition rate.
A Study on the Joint Controller for a Humanoid Robot based on Genetic Algorithm
Kong, Jung-Shik ; Kim, Jin-Geol ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 640~647
DOI : 10.5391/JKIIS.2007.17.5.640
This paper presents a joint controller for a humanoid robot based on genetic algorithm. h humanoid robot has basically instability during walking because it isn`t fixed on the ground. Moreover nonlinearities of the joints increase its instability. If one of them isn`t satisfied, the robot may fall down at the ground during walking. To attack one of those problems, joint controller is proposed. It can perform tracking control preciously and reduce the effect of nonlinearities by gear, limitation of the input voltage, coulomb friction and so on. This controller is based on fuzzy-sliding mode controller (FSMC) and compensator and control gains are searched by a proposed genetic algorithm. It can reduce the effect by nonlinearities. Also, to improve the tracking performance, the proposed controller has motion controller. From the given controller, a humanoid robot can moved more preciously. Here, all the processes are investigated through simulations and it is verified experimentally in a real joint system for a humanoid robot.
Design of an Artificial Emotion Model
Lee, In-K. ; Seo, Suk-T. ; Jeong, Hye-C. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 648~653
DOI : 10.5391/JKIIS.2007.17.5.648
Researches on artificial emotion which generates emotion artificially from various external excitations imitating human emotion has been initiated in recent years. But the conventional studies in which the emotion state is changed exponentially or linearly by external emotion excitation have a drawback that the variation of emotion state is changed rapidly and abruptly. In this paper, we propose an artificial emotion generation model which reflects not only strength and frequency of external emotion excitations but also period of it in the emotion state and represents the emotion state with a sigmoid curve w.r.t. time. And we propose an artificial emotion system which generates emotion at the situation of no external emotional excitations through recollection of past emotional excitations, and show its effectiveness through computer simulation results.
Shortest Path Searching Algorithm for AGV Based on Working Environmental Model
Joo, Young-Hoon ; Kim, Jong-Seon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 654~659
DOI : 10.5391/JKIIS.2007.17.5.654
This paper proposes the effective method for classifying the working spates and modelling the environments, when complex working environments of AGVS(Automated Guided Vehicle System) ate changed. And, we propose the shortest path searching algorithm using the A* algorithm of graph search method. Also, we propose the methods for finding each AGV`s travel time of shortest path. Finally, a simple example is included for visualizing the feasibility of the proposed methods.
Nonlinear Control of Network based Systems with Random Time Delays using Intelligent Algorithms
Cho, Hyun-Cheol ; Lee, Kwon-Soon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 660~667
DOI : 10.5391/JKIIS.2007.17.5.660
Design and Application of the Warfighting Experiment Process Using the Intelligent Maturity Model in Software Intensive Systems
Kang, Dong-Su ; Yoon, Hee-Byung ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 668~673
DOI : 10.5391/JKIIS.2007.17.5.668
We propose the design of the warfighting experiment process for software intensive systems using the intelligent maturity model and suggest the application results of the target searching capability in smart UAV. For this, we design the intelligent maturity model to evaluate the intelligent degree of the software intensive systems considering the domain and intelligent level. Then we classify the IS0/1EC-12207 process and CMMI process as LITO domain for designing the warfighting experiment process, map the classifed process to the five factors of the warfighting experiment and derive the process as warfighting experiment element and phase. Based on the derived process, we design the warfighting experiment process using the IDEF0. Finally we apply the proposed process to the target search capability and suggest the results which are required to develop and acquire the smart UAV.
Generalized modus tollens using truth function mapping
Yun, Yong-Sik ; Kang, Sang-Jin ; Park, Jin-Won ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 674~678
DOI : 10.5391/JKIIS.2007.17.5.674
Baldwin defined the approximate reasoning using truth function mapping. In paper , we defined two truth function mappings and applied these truth function mappings to generalized modus ponens. In this paper, we introduce the results of generalized modus tollens using these two truth function mappings.
A Differential Evolution based Support Vector Clustering
Jun, Sung-Hae ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 679~683
DOI : 10.5391/JKIIS.2007.17.5.679
Statistical learning theory by Vapnik consists of support vector machine(SVM), support vector regression(SVR), and support vector clustering(SVC) for classification, regression, and clustering respectively. In this algorithms, SVC is good clustering algorithm using support vectors based on Gaussian kernel function. But, similar to SVM and SVR, SVC needs to determine kernel parameters and regularization constant optimally. In general, the parameters have been determined by the arts of researchers and grid search which is demanded computing time heavily. In this paper, we propose a differential evolution based SVC(DESVC) which combines differential evolution into SVC for efficient selection of kernel parameters and regularization constant. To verify improved performance of our DESVC, we make experiments using the data sets from UCI machine learning repository and simulation.
Determining Direction of Conditional Probabilistic Dependencies between Clusters
Jung, Sung-Won ; Lee, Do-Heon ; Lee, Kwang-H. ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 684~690
DOI : 10.5391/JKIIS.2007.17.5.684
We describe our method to predict the direction of conditional probabilistic dependencies between clusters of random variables. Selected variables called `gateway variables` are used to predict the conditional probabilistic dependency relations between clusters. The direction of conditional probabilistic dependencies between clusters are predicted by finding directed acyclic graph (DAG)-shaped dependency structure between the gateway variables. We show that our method shows meaningful prediction results in determining directions of conditional probabilistic dependencies between clusters.
A Study on Acquisition of Evaluation Rules for Subcontractors of Construction Companies Using Fuzzy ID3
Yang, Sang-Yul ; Kim, Sung-Eun ; Hwang, Seung-Gook ; Won, You-Dong ; Hayashi, Isao ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 691~695
DOI : 10.5391/JKIIS.2007.17.5.691
In construction industry, it is very important to secure the eminent subcontractors of construction companies in order to increase the competitive power, these subcontractors ate selected through the total evaluation. Also, the results of evaluation is used management data the subcontractors. Therefore, if we know the evaluation rules of subcontractors previously, it can be used to manage the subcontractors effectively. Thus, using fuzzy ID3 which is obtain the if-then fuzzy rule from the given data, we acquire the rules for evaluation of subcontractors and show its usefulness.
Phonetic Transcription based Speech Recognition using Stochastic Matching Method
Kim, Weon-Goo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 696~700
DOI : 10.5391/JKIIS.2007.17.5.696
A new method that improves the performance of the phonetic transcription based speech recognition system is presented with the speaker-independent phonetic recognizer. Since SI phoneme HMM based speech recognition system uses only the phoneme transcription of the input sentence, the storage space could be reduced greatly. However, the performance of the system is worse than that of the speaker dependent system due to the phoneme recognition errors generated from using SI models. A new training method that iteratively estimates the phonetic transcription and transformation vectors is presented to reduce the mismatch between the training utterances and a set of SI models using speaker adaptation techniques. For speaker adaptation the stochastic matching methods are used to estimate the transformation vectors. The experiments performed over actual telephone line shows that a reduction of about 45% in the error rates could be achieved as compared to the conventional method.
Fuzzy Sky-hook Control of Semi-active Suspension System Using Rotary MR Damper
Cho, Jeong-Mok ; Joh, Joong-Seon ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 701~706
DOI : 10.5391/JKIIS.2007.17.5.701
Recently, a number of researches about linear magnetorheological(MR) damper using valve-mode characteristics of MR fluid have sufficiently undertaken, but researches about rotary MR damper using shear-mode characteristics of MR fluid are not enough. In this paper, we performed vibration control of shear-mode MR damper for unlimited rotating actuator of mobile robot. Also fuzzy logic based vibration control for shear-mode MR damper is suggested. The parameters, like scaling factor of input/output and center of the triangular membership functions associated with the different linguistic variables, are tuned by genetic algorithm. Simulation results demonstrate the effectiveness of the fuzzy-skyhook controller for vibration control of shear-mode MR damper under impact force.
Finding Informative Genes From Microarray Gene Expression Data Using FIGER-test
Choi, Kyoung-Oak ; Chung, Hwan-Mook ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 707~711
DOI : 10.5391/JKIIS.2007.17.5.707
Microarray gene expression data is believed to show the functions of living organism through the gene expression values. We have studied a method to get the informative genes from the microarray gene expression data. There are several ways for this. In recent researches to get more sophisticated and detailed results, it has used the intelligence information theory like fuzzy theory. Some methods are to add fudge factors to the significance test for more refined results. In this paper, we suggest a method to get informative genes from microarray gene expression data. We combined the difference of means between two groups and the fuzzy membership degree which reflects the variance of the gene expression data. We have called our significance test the Fuzzy Information method for Gene Expression data(FIGER). The FIGER calculates FIGER variation ratio and FIGER membership degree to show how strongly each object belongs to the each group and then it results in the significance degree of each gene. The FIGER is focused on the variation and distribution of the data set to adjust the significance level. Out simulation shows that the FIGER-test is an effective and useful significance test.
Design of network for data interaction between Robot Agents in Multi Agent Robot System (MARS)
Ko, Kwang-Eun ; Lee, Jeong-Soo ; Jang, In-Hun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 712~717
DOI : 10.5391/JKIIS.2007.17.5.712
Using home network system including home server, home service robot, a variety of device, it is generally known that application of Multi Agent System for performing variously distributed process that can be occur in home environment, is efficient method. In this system, it is intelligent service robot that a key of human interface and physical service offer Therefore, using application of established multi agent system, we can defined Multi Agent Robot System. In `open` home environment, between all agent data interaction and cooperation are needed for Multi Agent System offer to user that more efficient service. For this, we focus our attention on define as agent that can autonomic drive and offer to user that physical service robots and, design, suggest the simulator can display that between robot agents communication or between other agents, like home server, and robot agents communication information to user interface.
Development of Personal Hypertension Management System Using PDA
Kwon, Seok-Young ; Kwon, Mann-Jun ; Park, Kyoung-Soon ; Chun, Myung-Geun ; Cha, Eun-Jong ;
Journal of Korean Institute of Intelligent Systems, volume 17, issue 5, 2007, Pages 718~723
DOI : 10.5391/JKIIS.2007.17.5.718
In this paper, we developed a personal hypertension management system (PHMS) having self-diagnosis function with PDA. The developed PHMS consists of five modules such as a personal information management, a life management, a food management, a sickness management, and network management modules. The personal information management module offers physical and fatness information as well as personal information. The life management module gives exercise and body mass index. The food management module includes caloric intake and the sickness management module renders a personal blood pressure and a subjective symptom. Finally, wireless networks are implemented for the network management. From these, it is possible to make a self diagnosis and be examined and treated remotely by sending the stored blood pressure related information to a medical doctor.