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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 15, Issue 7 - Dec 2005
Volume 15, Issue 6 - Dec 2005
Volume 15, Issue 5 - Oct 2005
Volume 15, Issue 4 - Aug 2005
Volume 15, Issue 3 - Jun 2005
Volume 15, Issue 2 - Apr 2005
Volume 15, Issue 1 - Feb 2005
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Robust Speech Recognition Parameters for Emotional Variation
Kim Weon-Goo ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 655~660
DOI : 10.5391/JKIIS.2005.15.6.655
This paper studied the feature parameters less affected by the emotional variation for the development of the robust speech recognition technologies. For this purpose, the effect of emotional variation on the speech recognition system and robust feature parameters of speech recognition system were studied using speech database containing various emotions. In this study, LPC cepstral coefficient, met-cepstral coefficient, root-cepstral coefficient, PLP coefficient, RASTA met-cepstral coefficient were used as a feature parameters. And CMS and SBR method were used as a signal bias removal techniques. Experimental results showed that the HMM based speaker independent word recognizer using RASTA met-cepstral coefficient :md its derivatives and CMS as a signal bias removal showed the best performance of
word error rate. This corresponds to about a
word error reduction as compare to the performance of baseline system using met - cepstral coefficient.
A Hybrid Genetic Algorithm Using Epistasis Information for Sequential Ordering Problems
Seo Dong-Il ; Moon Byung-Ro ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 661~667
DOI : 10.5391/JKIIS.2005.15.6.661
In this paper, we propose a new hybrid genetic algorithm for sequential ordering problem (SOP). In the proposed genetic algorithm, the Voronoi quantized crossover (VQX) is used as a crossover operator and the path-preserving 3-Opt is used as a local search heuristic. VQX is a crossotver operator that uses the epistasis information of given problem instance. Since it is a crossover proposed originally for the traveling salesman problem (TSP), its application to SOP requires considerable modification. In this study, we appropriately modify VQX for SOP, and develop three algorithms, required in the modified VQX, named Feasible solution Generation Algorithm, Precedence Cycle Decomposition Algorithm, and Genic Distance Assignment Method. The results of the tests on SOP instances obtained from TSPLIB and ZIB-MP-Testdata show that the proposed genetic algorithm outperforms other genetic algorithms in stability and solution quality.
Development of PSD Sensor Based Distance Measuring System Using Linearizing Function of Voltage-Distance Conversion
Kim Yu-Chan ; Ryoo Young-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 668~672
DOI : 10.5391/JKIIS.2005.15.6.668
In this paper, a distance measuring system using a PSD sensor in proposed, which in suitable for low-cost localization sensor of a mobile robot. Because the distance-voltage output of PSD sensor has a non-linear property, the linearizing function is proposed through the experimental characteristics of the sensor. And the characteristics are tested and the distance-voltage data are measured in various colors and materials of object. The parameters of the proposed function are extracted by using the measured data. Finally, the performance and the accuracy of the developed system are verified according to the comparison of the distance by the proposed function with the real distance.
Fault Diagnosis for the Nuclear PWR Steam Generator Using Neural Network
Lee, In-Soo ; Yoo, Chul-Jong ; Kim, Kyung-Youn ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 673~681
DOI : 10.5391/JKIIS.2005.15.6.673
As it is the most important to make sure security and reliability for nuclear Power Plant, it`s considered the most crucial issues to develop a fault detective and diagnostic system in spite of multiple hardware redundancy in itself. To develop an algorithm for a fault diagnosis in the nuclear PWR steam generator, this paper proposes a method based on ART2(adaptive resonance theory 2) neural network that senses and classifies troubles occurred in the system. The fault diagnosis system consists of fault detective part to sense occurred troubles, parameter estimation part to identify changed system parameters and fault classification part to understand types of troubles occurred. The fault classification part Is composed of a fault classifier that uses ART2 neural network. The Performance of the proposed fault diagnosis a18orithm was corroborated by applying in the steam generator.
Classification and Recognition of Movement Behavior of Animal based on Decision Tree
Lee, Seng-Tai ; Kim, Sung-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 682~687
DOI : 10.5391/JKIIS.2005.15.6.682
Behavioral sequences of the medaka(Oryzias latipes) were investigated through an image system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon(0.1 mg/1). After much observation, behavioral patterns could be divided into 4 patterns: active smooth, active shaking, inactive smooth, and inactive shaking. These patterns were analyzed by 5 features: speed ratio, x and y axes projection, FFT to angle transition, fractal dimension, and center of mass. Each pattern was classified using decision tree. It provide a natural way to incorporate prior knowledge from human experts in fish behavior, The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the animal.
Neuro-Fuzzy Modeling based on Self-Organizing Clustering
Kim Sung-Suk ; Ryu Jeong-Woong ; Kim Yong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 688~694
DOI : 10.5391/JKIIS.2005.15.6.688
In this Paper, we Propose a new neuro-fuzzy modeling using clustering-based learning method. In the proposed clustering method, number of clusters is automatically inferred and its parameters are optimized simultaneously, Also, a neuro-fuzzy model is learned based on clustering information at same time. In the previous modelling method, clustering and model learning are performed independently and have no exchange of its informations. However, in the proposed method, overall neuro-fuzzy model is generated by using both clustering and model learning, and the information of modelling output is used to clustering of input. The proposed method improve the computational load of modeling using Subtractive clustering method. Simulation results show that the proposed method has an effectiveness compared with the previous methods.
Construction of Wireless Sensor Network for Intelligent Home
Whang Se-Hee ; Jang In-Hun ; Sim Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 695~700
DOI : 10.5391/JKIIS.2005.15.6.695
In the sensor network, a lot of sensor nodes are scattered sparsely and organizes a united communication network between each node. After that, environmental information around each sensor node are gathered and analyzed. Because each node operates under resource constraint, the efficiency and hardware specification of a node should be maximized. There exist technical constraints until now but recent technical progress in IC fabrication and wireless network enables to construct a tiny embedded system, which has the properties of low cost, low power consumption, multi functions. Wireless sensor network becomes a modern research field with technical improvements, is studied in numerous laboratories, and is called as diverse different project names - Wireless Integrated Network Sensors (WINS), Mobile Ad hoc NETwork (MANET), Ubiquitous Sensor Network (USN). TinyOS is one of leading project and is widely used. In this paper, we suggest a sensor network, which uses TinyOS platforms and aims for context awareness in a home environment.
Genealogy grouping for services of message post-office box based on fuzzy-filtering
Lee Chong-Deuk ; Ahn Jeong-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 701~708
DOI : 10.5391/JKIIS.2005.15.6.701
Structuring mechanism, important to serve messages in post-office box structure, is to construct the hierarchy of classes according to the contents of message objects. This Paper Proposes
-cut based genealogy grouping method to cluster a lot of structured objects in application domain. The proposed method decides the relationship first by semantic similarity relation and fuzzy relation, and then performs the grouping by operations of search( ), insert() and hierarchy(). This hierarchy structure makes it easy to process group-related processing tasks such as answering queries, discriminating objects, finding similarities among objects, etc. The proposed post-office box structure may be efficiently used to serve and manage message objects by the creation of groups. The Proposed method is tested for 5500 message objects and compared with other methods such as non-grouping, BGM, RGM, OGM.
Line Segments Extraction by using Chain Code Tracking of Edge Map from Aerial Images
Lee Kyu-won ; Woo Dong-min ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 709~713
DOI : 10.5391/JKIIS.2005.15.6.709
A new algorithm is proposed for the extraction of line segments to construct 3D wire-frame models of building from the high-resolution aerial images. The purpose of this study Is the accurate and effective extraction of line segments, considering the problems such as discordance of lines and blurred edges existing in the conventional methods. Using the edge map extracted from aerial images, chain code tracking of edges was performed. Then, we extract the line segments considering the strength of edges and the direction of them. SUSAN (Smallest Uni-value Segment Assimilating Nucleus) algorithm proposed by Smith was used to extract an edge map. The proposed algorithm consists of 4 steps: removal of the horizontal, vertical and diagonal components of edges to reduce non-candidate point of line segments based on the chain code tracking of the edge map, removal of contiguous points, removal of the same angle points, and the extraction of the start and end points to be line segments. By comparing the proposed algorithm with Boldt algorithm, better results were obtained regarding the extraction of the representative line segments of buildings, having relatively less extraction of unnecessary line segments.
Study on development of the remote control door lock system including speeker verification function in real time
Kwon, Soon-Ryang ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 714~719
DOI : 10.5391/JKIIS.2005.15.6.714
The paper attempts to design and implement the system which can remotely check visitors` speech or Image by a mobile phone. This system is designed to recognize who a visitor is through the automatic calling service, not through a short message, via the mobile phone, even when the home owner is outside. In general, door locks are controlled through the home Server, but it is more effective to control door locks by using DTMF signal from a real-time point of view. The technology suggested in this paper makes it possible to communicate between the visiter and the home owner by making a phone call to tile home owner`s mobile phone automatically when the visiter visits the house even if the home owner is outside, and if necessary, it allows for the home owner to control the door lock remotely. Thanks to the system, the home owner is not restricted by time or space for checking the visitor`s identification and controlling the door lock. In addition, the security system is improved by changing from the existing password form to the combination of password and speaker verification lot the verification procedure required for controlling the door lock and setting the environment under consideration of any disadvantages which may occur when the mobile Phone is lost. Also, any existing problems such as reconnection to tile network for controlling tile door lock are solved by controlling the door lock in real time by use of DTMF signal while on the phone.
Indirect Adaptive Control of Nonlinear Systems Using a EKF Learning Algorithm Based Wavelet Neural Network
Kim Kyoung-Joo ; Choi Yoon Ho ; Park Jin Bae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 720~729
DOI : 10.5391/JKIIS.2005.15.6.720
In this paper, we design the indirect adaptive controller using Wavelet Neural Network(WNN) for unknown nonlinear systems. The proposed indirect adaptive controller using WNN consists of identification model and controller. Here, the WNN is used in both Identification model and controller The WNN has advantage of indicating the location in both time and frequency simultaneously, and has faster convergence than MLPN and RBFN. There are several training methods for WNN, such as GD, GA, DNA, etc. In this paper, we present the Extended Kalman Filter(EKF) based training method. Although it is computationally complex, this algorithm updates parameters consistent with previous data and usually converges in a few iterations. Finally, ore illustrate the effectiveness of our method through computer simulations for the Buffing system and the one-link rigid robot manipulator. From the simulation results, we show that the indirect adaptive controller using the EKF method has better performance than the GD method.
DNA Computing Adopting DNA coding Method to solve effective Knapsack Problem
Kim Eun-Gyeong ; Lee Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 730~735
DOI : 10.5391/JKIIS.2005.15.6.730
Though Knapsack Problem appears to be simple, it is a NP-hard problem that is not solved in polynomial time as combinational optimization problems. To solve this problem, GA(Genetic Algorithms) was used in the past. However, there were difficulties in real experiments because the conventional method didn`t reflect the precise characteristics of DNA. In this paper we proposed ACO (Algorithm for Code Optimization) that applies DNA coding method to DNA computing to solve problems of Knapsack Problem. ACO was applied to (0,1) Knapsack Problem; as a result, it reduced experimental errors as compared with conventional methods, and found accurate solutions more rapidly.
Optimal Routing Path Selection Algorithm in Ad-hoc Wireless Sensor Network
Jang In-Hun ; Sim Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 736~741
DOI : 10.5391/JKIIS.2005.15.6.736
The highly popular algorithm to determine routing path for the multi-hopping wireless sensor network is DSR(Dynamic Source Routing), which is one of the Demand-Driven way to makes the route only when there is a request for sending data. However, because DSR attaches the route`s record on the sending packet, the bigger number of sensor node is, the heavier packet in DSR becomes. In this paper, we try to propose the new optimal routing path selecting algorithm which does not make the size of packet bigger by using proper routing table even though the number of sensor node increases, and we try to show our algorithm is more stable and reliable because it is based on the cost function considering some network resources of each sensor node such as power consumption, mobility, traffic in network, distance(hop) between source and destination.
A Development Tool for Web Applications based on Cocoon Framework
Koo Heung-Seo ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 742~747
DOI : 10.5391/JKIIS.2005.15.6.742
As the complexity of Web applications have increased significantly, the approach using frameworks such as Cocoon, Struts, JSF, is being suggested to develop Web applications more Quickly and efficiently. However, it Is difficult for beginners to write Apache Cocoon Sitemap files in XML. We implement a Cocoon Sitemap editor on the Java Servlet engine that allows beginners to write Cocoon Sitemap files more easily. Our system consists of three parts: Sitemap Main editor, Pipeline Viewer, and Sitemap Tracer. Sitemap Main editor support users to write BML configuration documents, so-called Sitemap file, that defines all the components pipelines, generators, and other configuration information for a Cocoon application. pipeline Viewer support users to catch the structure of Cocoon component pipelines by the medium of graphical interface. Sitemap Tracer have features to monitor of SAX events through Cocoon pipelines in a Sitemap file.
Design of Target Tracking System Using a New Intelligent Algorithm
Noh, Sun-Young ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 748~753
DOI : 10.5391/JKIIS.2005.15.6.748
When the maneuver occurs, the performance of the standard Kalman filter has been degraded because mismatches between the modeled target dynamics and the actual target dynamics. To solve this problem, the unknown acceleration is determined by using the fuzzy logic based on genetic algorithm(GA) method. This algorithm is the method to estimate the increment of acceleration by a fuzzy system using th relation between maneuver filler residual and non-maneuvering one. To optimize this system, a GA is utilized. And then, the modified filter is corrected by the new update equation method which is a fuzzy system using the relation between the filter residual and its variation. To shows the feasibility of the suggested method with only one filter, the computer simulations system are provided, this method is compared with multiple model method.
Entropy and information energy arithmetic operations for fuzzy numbers
Hong, Dug-Hun ; Kim, Kyung-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 754~758
DOI : 10.5391/JKIIS.2005.15.6.754
There have been several tipical methods being used tomeasure the fuzziness (entropy) of fuzzy sets. Pedrycz is the original motivation of this paper. Recently, Wang and Chiu [FSS103(1999) 443-455] and Pedrycz [FSS 64(1994) 21-30] showed the relationship(addition, subtraction, multiplication) between the entropies of the resultant fuzzy number and the original fuzzy numbers of same type. In this paper, using Lebesgue-Stieltjes integral, we generalize results of Wang and Chiu [FSS 103(1999) 443-455] concerning entropy arithmetic operations without the condition of same types of fuzzy numbers. And using this results and trade-off relationship between information energy and entropy, we study more properties of information energy of fuzzy numbers.
Face Recognition using Fuzzy-EBGM(Elastic Bunch Graph Matching) Method
Kwon Mann-Jun ; Go Hyoun-Joo ; Chun Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 759~764
DOI : 10.5391/JKIIS.2005.15.6.759
In this paper we describe a face recognition using EBGM(Elastic Bunch Graph Matching) method. Usally, the PCA and LDA based face recognition method with the low-dimensional subspace representation use holistic image of faces, but this study uses local features such as a set of convolution coefficients for Gabor kernels of different orientations and frequencies at fiducial points including the eyes, nose and mouth. At pre-recognition step, all images are represented with same size face graphs and they are used to recognize a face comparing with each similarity for all images. The proposed algorithm has less computation time due to simplified face graph than conventional EBGM method and the fuzzy matching method for calculating the similarity of face graphs renders more face recognition results.
Improved Digital Redesign for Fuzzy Systems: Compensated Bilinear Transform Approach
Kim, Do-Wan ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 765~770
DOI : 10.5391/JKIIS.2005.15.6.765
This paper presents a new intelligent digital redesign (IDR) method via the compensated bilinear transformation to design the digital controller such that the digital fuzzy system is equivalent to the analog fuzzy system in the sense of the state-matching. This paper especially consider a multirate control scheme with a predictive feature, where the digital control input is held constant N times between the sampling points. More precisely, the multirate control scheme is proposed that utilizes a numerical integration scheme to approximately predict the current state from the state measured at the sampling points, the delayed measurements. For this system, the IDR conditions incorporated with stabilizability in the format of the linear matrix inequalities (LMIs) are derived. The superiority of the proposed technique is convincingly visualized through a numerical example.
INTUITIONISTIC FUZZY REES CONGRUENCES ON A SEMIGROUP
Ahn, Young-Sin ; Hur, Kul ; Ryou, Jang-Hyun ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 771~779
DOI : 10.5391/JKIIS.2005.15.6.771
We introduce two concepts of intuitionistic fuzzy Rees congruence on a semigroup and intuitionistic fuzzy Rees con-gruence semigroup. As an important result, we prove that for a intuitionistic fuzzy Rees congruence semigroup S, the set of all intuitionistic fuzzy ideals of S and the set of all intuitionistic fuzzy congruences on S are lattice isomorphic. Moreover, we show that a homomorphic image of an intuitionistic fuzzy Rees congruence semigroup is an intuitionistic fuzzy Rees congruence semigroup.
The Complexity of Object-Oriented Systems by Analyzing the Class Diagram of UML
Chung, Hong ; Kim, Tae-Sik ;
Journal of Korean Institute of Intelligent Systems, volume 15, issue 6, 2005, Pages 780~787
DOI : 10.5391/JKIIS.2005.15.6.780
Many researches and validations for the complexity metrics of the object-oriented systems have been studied. Most of them are aimed for the measurement of the partial aspects of the systems, for example, the coupling between objects, the complexity of inheritance structures, the cohesion of methods, and so on. But the software practitioners want to measure the complexity of overall system, not partial. We studied the complexity of the overall structures of object-oriented systems by analyzing the class diagram of UML. The class diagram is composed of classes and their relations. There are three kinds of relations, association, generalization, and aggregation, which are making the structure of object-oriented systems to be difficult to understand. We proposed a heuristic metric to measure the complexity of object-oriented systems by putting together the three kinds of the relations. Tn analyze the complexity of the structure of a object-oriented system for the maintainability of the system, we measured the degree of understandability of it, the reverse engineering time to draw a class diagram from the source codes, and the number of errors in the diagram. The results of this experiment shows that our proposed metric has a considerable relationship with the complexity of object-oriented systems. The metric will be helpful to the software developers for their designing tasks by evaluating the complexity of the structures of object-oriented systems and redesigning tasks , of them for the future maintainability