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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 14, Issue 7 - Dec 2004
Volume 14, Issue 6 - Oct 2004
Volume 14, Issue 5 - Aug 2004
Volume 14, Issue 4 - Jul 2004
Volume 14, Issue 2 - Apr 2004
Volume 14, Issue 1 - Feb 2004
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An Implementation of Neural Networks Intelligent Characters for Fighting Action Games
Cho, Byeong-Heon ; Jung, Sung-Hoon ; Seong, Yeong-Rak ; Oh, Ha-Ryoung ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 383~389
DOI : 10.5391/JKIIS.2004.14.4.383
This paper proposes a method to provide intelligence for characters in fighting action games by using a neural network. Each action takes several time units in general fighting action games. Thus the results of a character`s action are not exposed immediately but some time units later. To design a suitable neural network for such characters, it is very important to decide when the neural network is taught and which values are used to teach the neural network. The fitness of a character`s action is determined according to the scores. For learning, the decision causing the score is identified, and then the neural network is taught by using the score change, the previous input and output values which were applied when the decision was fixed. To evaluate the performance of the proposed algorithm, many experiments are executed on a simple action game (but very similar to the actual fighting action games) environment. The results show that the intelligent character trained by the proposed algorithm outperforms random characters by 3.6 times at most. Thus we can conclude that the intelligent character properly reacts against the action of the opponent. The proposed method can be applied to various games in which characters confront each other, e.g. massively multiple online games.
Design of Process Management System based on Data Mining and Artificial Modelling for the Etching Process
Bae, Hyeon ; Kim, Sung-shin ; Woo, Kwang-Bang ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 390~395
DOI : 10.5391/JKIIS.2004.14.4.390
A semiconductor manufacturing process is the complicate and dynamic process, and consists of many sub-processes. An etching process is the most important process in the semiconductor fabrication. In this paper, the decision support system based upon data mining and knowledge discovery is an important factor to improve the productivity and yield. The proposed decision support system consists of a neural network model and an inference system based on fuzzy logic Firstly, the product results are predicted by the neural network model constructed by the product patterns that represent the quality of the etching process. And the product patters are classified by expert`s knowledge. Finally, the product conditions are estimated by the fuzzy inference system using the rules extracted from the classified patterns. Prediction of product qualities can be linked to each input and process variables. We employ data mining and intelligent techniques to find the best condition of the etching process. The proposed decision support system is efficient and easy to be implemented for the process management based upon expert`s knowledge.
Linguistic Map-based Navigational Planning for Mobile Robots on Dynamic Environment
Seo, Suk-Tae ; Lee, In-K. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 396~401
DOI : 10.5391/JKIIS.2004.14.4.396
Recently a framework for the cognition-based navigational planning of a mobile robot on dynamic environment has been proposed, and simulation results applied it to the static environment been presented . In this paper, we propose a linguistic map-based framework for the navigational planning of mobile robots, which is applicable to the dynamic environment including not only static obstacles but also dynamic obstacles such as temporal-spatio obstacles, by extending Lee et al. `s framework, and provide computer simulation results obtained by applying to a mobile robot on the dynamic environment in order to show the validity of the proposed algorithm.
Fuzzy-Neural Networks by Means of Advanced Clonal Selection of Immune Algorithm and Its Application to Traffic Route Choice
Cho, Jae-Hoon ; Kim, Dong-Hwa ; Oh, Sung-Kwun ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 402~410
DOI : 10.5391/JKIIS.2004.14.4.402
In this paper, an optimal design method of clonal selection based Fuzzy-Neural Networks (FNN) model for complex and nonlinear systems is presented. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. Also Advanced Clonal Selection (ACS) is proposed to find the parameters such as parameters of membership functions, learning rates and momentum coefficients. The proposed method is based on an Immune Algorithm (IA) using biological Immune System and The performance is improved by control of differentiation rate. Through that procedure, the antibodies are producted variously and the parameter of FNN are optimized by selecting method of antibody with the best affinity against antigens such as object function and limitation condition. To evaluate the performance of the proposed method, we use the time series data for gas furnace and traffic route choice process.
An Intelligent Robotic Biological Cell Injection System
Shim, Jae-Hong ; Cho, Young-Im ; Kim, Jong-Hyeong ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 411~417
DOI : 10.5391/JKIIS.2004.14.4.411
Recently, instruments and systems related on biological technology have been enormously developed. Particularly, many researches for biological cell injection have been carried out. Usually, excessive contact force occurring when the end-effector and a biological cell contact might make a damage on the cell. Unfortunately, the excessive force could easily destroy the membrane and tissue of the cell. In order to overcome the problem, we proposed a new injection system for biological cell manipulation. The proposed injection system can measure the contact force between a pipette and a cell by using a force sensor. Also, we used vision technology to correctly guide the tip of the pipette to the cell. Consequently, the proposed injection system could safely manipulate the biological cells without any damage. This paper presents the introduction of our new injection system and design concepts of the new micro end-effector. Through a series of experiments the proposed injection system shows the possibility of application for precision biological cell manipulation such as DNA operation.
A Study on the New Motion Estimation Algorithm of Binary Operation for Real Time Video Communication
Lee, Wan-Bum ; Shim, Byoung-Sup ; Kim, Hwan-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 418~423
DOI : 10.5391/JKIIS.2004.14.4.418
The motion estimation algorithm based block matching is a widely used in the international standards related to video compression, such as the MPEG series and H.26x series. Full search algorithm(FA) ones of this block matching algorithms is usually impractical because of the large number of computations required for large search region. Fast search algorithms and conventional binary block matching algorithms reduce computational complexity and data processing time but this algorithms have disadvantages that is less performance than full search algorithm. This paper presents new Boolean matching algorithm, called BCBM(Bit Converted Boolean Matching). Proposed algorithm has performance closed to the FA by Boolean only block matching that may be very efficiently implemented in hardware for real time video communication. Simulation results show that the PSNR of the proposed algorithm is about 0.08㏈ loss than FA but is about 0.96∼2.02㏈ gain than fast search algorithm and conventional Boolean matching algorithm.
Embedded File System for Ubiquitous Computing
Lee, Byung-Kwon ; Ju, Young-Kwan ; Kim, Suk-Il ; Jeon, Joong-Nam ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 424~430
DOI : 10.5391/JKIIS.2004.14.4.424
This paper explains the construction of the filesystems which could be utilized in embedded systems as an implementation of ubiquitous computing. It includes the formal architecture of filesystem hierarchy for the DOC (Disk-On-Chip) filesystem and the flash filesystem based on the MTD (Memory Technology Devices). For DOC, the root filesystem and the user filesystem are constructed by the TrueFFS supported by the M-Systems. For MTD filesystem, the root filesystem is implemented in the fast RAM disk, and the user filesystem is implemented in the JFFS2 that supports large capacity. In order to support the GUI filesystem, the porting process of Qt/E is also included in this paper.
Face Recognition Under Ubiquitous Environments
Go, Hyoun-Joo ; Kim, Hyung-Bae ; Yang, Dong-Hwa ; Park, Jang-Hwan ; Chun, Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 431~437
DOI : 10.5391/JKIIS.2004.14.4.431
This paper propose a facial recognition method based on an ubiquitous computing that is one of next generation intelligence technology fields. The facial images are acquired by a mobile device so-called cellular phone camera. We consider a mobile security using facial feature extraction and recognition process. Facial recognition is performed by the PCA and fuzzy LDA algorithm. Applying the discrete wavelet based on multi-resolution analysis, we compress the image data for mobile system environment. Euclidean metric is applied to measure the similarity among acquired features and then obtain the recognition rate. Finally we use the mobile equipment to show the efficiency of method. From various experiments, we find that our proposed method shows better results, even though the resolution of mobile camera is lower than conventional camera.
Position Estimation of Autonomous Mobile Robot Using Geometric Information of a Moving Object
Jin, Tae-Seok ; Lee, Jang-Myung ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 438~444
DOI : 10.5391/JKIIS.2004.14.4.438
The intelligent robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, robots need to recognize their position and posture in known environment as well as unknown environment. Moreover, it is necessary for their localization to occur naturally. It is desirable for a robot to estimate of his position by solving uncertainty for mobile robot navigation, as one of the best important problems. In this paper, we describe a method for the localization of a mobile robot using image information of a moving object. This method combines the observed position from dead-reckoning sensors and the estimated position from the images captured by a fixed camera to localize a mobile robot. Using the a priori known path of a moving object in the world coordinates and a perspective camera model, we derive the geometric constraint equations which represent the relation between image frame coordinates for a moving object and the estimated robot`s position. Since the equations are based or the estimated position, the measurement error may exist all the time. The proposed method utilizes the error between the observed and estimated image coordinates to localize the mobile robot. The Kalman filter scheme is applied for this method. its performance is verified by the computer simulation and the experiment.
Optimal Design for 3D Structures Using Artificial Intelligence : Its Application to Micro Accelerometer
Lee, Joon-Seong ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 445~450
DOI : 10.5391/JKIIS.2004.14.4.445
This paper describes an optimal design system for multi-disciplinary structural design. An automatic finite element (FE) mesh generation technique, which is based on the fuzzy knowledge processing and computational geometry technique, is incorporated into the system, together with a commercial FE analysis code and a commercial solid modelers. An optimum design solution or satisfactory solutions are then automatically searched using the genetic algorithms modified for real search space, together with the automated FE analysis system. With an aid of genetic algorithms, the present design system allows us to effectively obtain a multi-dimensional solutions. The developed system is successfully applied to the shape design of a micro accelerometer based on a tunnel current concept.
Intrusion Detection Learning Algorithm using Adaptive Anomaly Detector
Sim, Kwee-Bo ; Yang, Jae-Won ; Kim, Young-Soo ; Lee, Se-Yul ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 451~456
DOI : 10.5391/JKIIS.2004.14.4.451
Signature based intrusion detection system (IDS), having stored rules for detecting intrusions at the library, judges whether new inputs are intrusion or not by matching them with the new inputs. However their policy has two restrictions generally. First, when they couldn`t make rules against new intrusions, false negative (FN) errors may are taken place. Second, when they made a lot of rules for maintaining diversification, the amount of resources grows larger proportional to their amount. In this paper, we propose the learning algorithm which can evolve the competent of anomaly detectors having the ability to detect anomalous attacks by genetic algorithm. The anomaly detectors are the population be composed of by following the negative selection procedure of the biological immune system. To show the effectiveness of proposed system, we apply the learning algorithm to the artificial network environment, which is a computer security system.
Intelligent Robot Design: Intelligent Agent Based Approach
Kang, Jin-Shig ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 457~467
DOI : 10.5391/JKIIS.2004.14.4.457
In this paper, a robot is considered as an agent, a structure of robot is presented which consisted by multi-subagents and they have diverse capacity such as perception, intelligence, action etc., required for robot. Also, subagents are consisted by micro-agent(
agent) charged for elementary action required. The structure of robot control have two sub-agents, the one is behavior based reactive controller and action selection sub agent, and action selection sub-agent select a action based on the high label action and high performance, and which have a learning mechanism based on the reinforcement learning. For presented robot structure, it is easy to give intelligence to each element of action and a new approach of multi robot control. Presented robot is simulated for two goals: chaotic exploration and obstacle avoidance, and fabricated by using 8bit microcontroller, and experimented.
An Intelligent Iris Recognition System
Kim, Jae-Min ; Cho, Seong-Won ; Kim, Soo-Lin ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 468~472
DOI : 10.5391/JKIIS.2004.14.4.468
This paper presents an intelligent iris recognition system which consists of quality check, iris localization, feature extraction, and verification. For the quality check, the local statistics on the pupil boundary is used. Gaussian mixture model is used to segment and localized the iris region. The feature extraction method is based on an optimal waveform simplification. For the verification, we use an intelligent variable threshold.
Adaptive morphological Wavelet-CNN Algorithm for the Color Image Edge detection
Beak, Young-Hyun ; Moon, Sung-Rung ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 473~480
DOI : 10.5391/JKIIS.2004.14.4.473
This paper presents a new edge detection algorithm in color image. The proposed Adaptive morphological Wavelet-CNN algorithm is divided into two parts : The Adaptive morpholog and WCNN(Wavelet Cellular Neural Networks). It detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is called a variable BBM. Finally, to show the feasibility of the proposed algorithm, this paper provides by simulation that the color image consists of 30.
Dynamic Walking for a Biped Robot Using Fuzzy Model
Jang, Kwon-Kyu ; Joo, Young-Hoon ; Park, Hyun-Bin ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 481~486
DOI : 10.5391/JKIIS.2004.14.4.481
The biped robot has the better mobility than the conventional wheeled robot. Since a biped robot tends to tip over easily, it is necessary to take stability into account when determining a walking pattern. To ensure the dynamic stability of the biped robot, we have to adapt the ground conditions with a foot motion and maintain motion, and ensure its stability through the kinematics and dynamics analysis. But its mathematic model is not too easy. In this paper, in order to ensure the dynamic stability of a biped robot, we design the fuzzy model and confirm the realization possibility of the proposed method through some simulations.
Modeling of The Fuzzy Discrete Event System and It s Application
Kim, Jin-Kwon ; Kim, Jung-Chul ; Hwang, Hyung-Soo ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 487~492
DOI : 10.5391/JKIIS.2004.14.4.487
This paper deals with modeling method and application of Fuzzy Discrete Event System(FDES). FDES have characteristics which Crisp Discrete Event System(CDES) can`t deals with and is constituted with the events that is determined by vague and uncertain judgement like biomedical or traffic control. In general, the modeling method of CDES has been studied many times, but that of FDES hasn`t been nearly studied by qualitative character and scarcity of applicated system. This paper models traffic system with FDES`s character in FTTPN and designs a traffic signal controller.
Multi-Stage Path Planning Based on Shape Reasoning and Geometric Search
Hwang, Yong-K. ; Cho, Kyoung-R. ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 493~498
DOI : 10.5391/JKIIS.2004.14.4.493
A novel approach for path planning of a polygonal robot is presented. Traditional path planners perform extensive geometric searching to find the optimal path or to prove that there is no solution. The computation required to prove that there is no solution is equivalent to exhaustive search of the motion space, which is typically very expensive. Humans seems to use a set of several different path planning strategies to analyse the situation of the obstacles in the environment, and quickly recognize whether the path-planning problem is easy to solve, hard to solve or has no solution. This human path-planning strategies have motivated the development of the presented algorithm that combines qualitative shape reasoning and exhaustive geometric searching to speed up the path planning process. It has three planning stages consisting of identification of no-solution cases based on an enclosure test, a qualitative reasoning stage, and finally a complete search algorithm in case the previous two stages cannot determine of the existence of a solution path.
Development of the Simulation Tool for The Modeling and Traffic Control of a AGV System
Hong, Hyun-Ju ; Ro, Young-Shick ; Kang, Hee-Jun ; Suh, Young-Soo ; Kim, Tai-Hoo ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 499~505
DOI : 10.5391/JKIIS.2004.14.4.499
In this paper, we studied about AGVs modeling and material handling automation simulation using a virtual AGV. The proposed virtual AGV model that operates independently each other is based on a real AGV. Continuous straight-line and workstation model using vector drawing method that could easily, rapidly work system modeling are suggested. Centralized traffic control, which could collision avoidance in intersection and should not stop AGV as possible, and algorithm for detour routing which performs when another AGV is working in pre-routed path are proposed. The traffic control and the algorithm have been proved efficience by simulation.
A Study on the Extraction of Nail`s Region from PC-based Hand-Geometry Recognition System Using GA
Kim, Young-Tak ; Kim, Soo-Jong ; Park, Ju-Won ; Lee, Sang-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 506~511
DOI : 10.5391/JKIIS.2004.14.4.506
Biometrics is getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry has been used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. Hence, it can be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. However, during experimentation, it was discovered that length measured from the tip of the finger was not a reliable feature. Hence, we propose a new technique based on Genetic Algorithm for extraction of the center of nail bottom, in order to use it for the length feature.
An SoC-based Context-Aware System Architecture
Sohn, Bong-Ki ; Lee, Keon-Myong ; Kim, Jong-Tae ; Lee, Seung-Wook ; Lee, Ji-Hyong ; Jeon, Jae-Wook ; Cho, Jun-Dong ;
Journal of Korean Institute of Intelligent Systems, volume 14, issue 4, 2004, Pages 512~516
DOI : 10.5391/JKIIS.2004.14.4.512
Context-aware computing has been attracting the attention as an approach to alleviating the inconvenience in human-computer interaction. This paper proposes a context-aware system architecture to be implemented on an SoC(System-on-a-Chip). The proposed architecture supports sensor abstraction, notification mechanism for context changes, modular development, easy service composition using if-then rules, and flexible context-aware service implementation. It consists of the communication unit, the processing unit, the blackboard, and the rule-based system unit, where the first three components reside in the microprocessor part of the SoC and the rule-based system unit is implemented in hardware. For the proposed architecture, an SoC system has been designed and tested in an SoC development platform called SystemC and the feasibility of the behavoir modules for the microprocessor part has been evaluated by implementing software modules on the conventional computer platform. This SoC-based context-aware system architecture has been developed to apply to mobile intelligent robots which would assist old people at home in a context-aware manner.