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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 24, Issue 6 - Dec 2014
Volume 24, Issue 5 - Oct 2014
Volume 24, Issue 4 - Aug 2014
Volume 24, Issue 3 - Jun 2014
Volume 24, Issue 2 - Apr 2014
Volume 24, Issue 1 - Feb 2014
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Design of Optimized RBFNNs based on Night Vision Face Recognition Simulator Using the 2D
Jang, Byoung-Hee ; Kim, Hyun-Ki ; Oh, Sung-Kwun ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 1~6
DOI : 10.5391/JKIIS.2014.24.1.001
In this study, we propose optimized RBFNNs based on night vision face recognition simulator with the aid of
PCA algorithm. It is difficult to obtain the night image for performing face recognition due to low brightness in case of image acquired through CCD camera at night. For this reason, a night vision camera is used to get images at night. Ada-Boost algorithm is also used for the detection of face images on both face and non-face image area. And the minimization of distortion phenomenon of the images is carried out by using the histogram equalization. These high-dimensional images are reduced to low-dimensional images by using
PCA algorithm. Face recognition is performed through polynomial-based RBFNNs classifier, and the essential design parameters of the classifiers are optimized by means of Differential Evolution(DE). The performance evaluation of the optimized RBFNNs based on
PCA is carried out with the aid of night vision face recognition system and IC&CI Lab data.
Re-ranking the Results from Two Image Retrieval System in Cooperative Manner
Hwang, Joong-Won ; Kim, Hyunwoo ; Kim, Junmo ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 7~15
DOI : 10.5391/JKIIS.2014.24.1.007
Image retrieval has become a huge part of computer vision and data mining. Although commercial image retrieval systems such as Google show great performances, the improvement on the performances are constantly on demand because of the rapid growth of data on web space. To satisfy the demand, many re-ranking methods, which enhance the performances by reordering retrieved results with independent algorithms, has been proposed. Conventional re-ranking algorithms are based on the assumption that visual patterns are not used on initial image retrieval stage. However, image search engines in present have begun to use the visual and the assumption is required to be reconsidered. Also, though it is possible to suspect that integration of multiple retrieval systems can improve the overall performance, the research on the topic has not been done sufficiently. In this paper, we made the condition that other manner than cooperation cannot improve the ranking result. We evaluate the algorithm on toy model and show that propose module can improve the retrieval results.
A Study on the Ship Information Fusion with AIS and ARPA Radar using by Blackboard System
Kim, Do-Yeon ; Park, Gyei-Kark ; Kim, Hwa-Young ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 16~21
DOI : 10.5391/JKIIS.2014.24.1.016
In recent, the maritime traffic has increased with an increase in international trading volumes and the growing popularity of marine leisure activities. As increasing of maritime traffic, marine accidents happened continually and there are possibilities of accidents at sea. According to the analysis of marine accidents, most accidents occurred by human error of seafarers. To reduce the accidents by human error, the various assistance system for assist seafarers have been proposed. It is required to real-time data management method for applying to real-time system, but most proposed assistance system used off-line data for analysis. In this paper, we aim to build a navigation supporting system for providing safety information to deck officer with data of AIS(Automatic Identification System) and ARPA Radar(Automatic Radar Plotting Aids Radar), and proposed a management algorithm for real-time ship information with blackboard system and verified the validity.
A Postfiltering Algorithm for Enhancement in Block-based DCT Compressed Images
Kim, Yong-Hun ; Jeong, Jong-Hyeog ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 22~27
DOI : 10.5391/JKIIS.2014.24.1.022
Blocking and ringing artifacts continue to be the most serious defects that occur in images and video streams compressed to low bit rates using block-based discrete cosine transform(DCT) compression standards. These artifacts contain the high frequency components near the block and the edge boundaries. Usually the lowpass filter can remove them. However, simple lowpass filter results into blur by removing important information such as edges at the same time. To overcome these problems, we propose a novel postfiltering algorithm that calculate the weight value based on the intensity similarity in the neighboring pixels and multiply this weight to the Gaussian lowpass filter coefficient. Experimental results show that the proposed technique provides satisfactory performance in both objective and subjective image quality.
A Nonuniform Sampling Technique and Its Application to Speech Coding
Iem, Byeong-Gwan ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 28~32
DOI : 10.5391/JKIIS.2014.24.1.028
For a signal such as speech showing piece-wise linear shape in a very short time period, a nonuniform sampling method based on the inflection point detection (IPD) is proposed to reduce data rate. The method exploits the geometrical characteristics of signal further than the existing local maxima/minima detection (MMD) based sampling method. As results, the reconstructed signal by the interpolation of the IPD based sampled data resembles the original speech more. Computer simulation shows that the proposed IPD based method produces about 9~23 dB improvement over the existing MMD method. To show the usefulness of the IPD technique, it is applied to speech coding, and compared to the continuously variable slope delta modulation (CVSD). The nonuniformly sampled data is binary coded with one bit flag set "1". Noninflection samples are not sent, but only flag bits set 0 are sent. The method shows 0.3 ~ 9 dB SNR and 0.5 ~ 1.3 mean opinion score (MOS) improvements over the CVSD.
Driving three kinds of Course Test with RC car by Color Recognition
Lee, Jong-Min ; Sohn, Young-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 33~39
DOI : 10.5391/JKIIS.2014.24.1.033
Automatic driving needs many functions such as the obstacle recognition, the lane recognition, and the lane change, etc. In this paper, we realized a system which automatically drove the three-kinds of vehicle driving course, to introduce and apply the concept of `color recognition` that expands the scope of `lane recognition` for vehicle driving. We made the reduced each course compared with RC(Radio Control) car size, and controlled the steering considering the position and the slope of the detection line and the speed. Because the RC car does not have the brake function, we consider the speed and the position of the detection line to stop the RC car.
Generation Dispatch Algorithm Applying a Simulation Based Optimization Method
Kang, Sang-Gyun ; Song, Hwachang ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 40~45
DOI : 10.5391/JKIIS.2014.24.1.040
This paper suggests the optimal generation dispatch algorithm for ensuring voltage stability margin considering high wind energy injection. Generally, with wind generation being installed into the power system, we would have to consider several factors such as the voltage stability margin because wind turbine generators are mostly induction machines. If the proportion of wind generation increases in the power system increases this would affect the overall stability of the system including the voltage stability. This paper considers a specific system that is composed of two areas: area 1 and area 2. It is assumed that generation cost in area 1 is relatively higher than that in area 2. From an economic point of view generation in area 1 should be decreased, however, in the stability point of view the generation in area 2 should be decreased. Since the power system is a nonlinear system, it is very difficult to find the optimal solution and the genetic algorithm is adopted to solve the objective function that is composed of a cost function and a function concerned with voltage stability constraints. For the simulations, the New England system was selected. The algorithm is implemented and Python 2.5.
A Study on the Development and the Verification of Engineering Structure Design Framework based on Neuro-Response Surface Method (NRSM)
Lee, Jae-Chul ; Shin, Sung-Chul ; Kim, Soo-Young ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 46~51
DOI : 10.5391/JKIIS.2014.24.1.046
The most important process of engineering system optimal design is to identify the relationship between the design variables and system response. In case of the system optimization, Response Surface Method (RSM) is widely used. The optimization process of RSM generates the design space using the typical alternative candidates and finds the optimal design point in the generated design space. By changing the optimal point depending on the configuration of the design space, it is important to generate the design space. Therefor in this study, the design space is generated by using the relationship between design variables and system response based on Neuro-Response Surface Method (NRSM). And I try to construct the framework for optimal shape design based on NRSM that the optimum shape can be predicted using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) within the generated design space. In order to verify the usefulness of the constructed framework, we applied the nonlinear mathematical function problem. In this study, we can solve the constraints of time in the optimization process for the engineering problem and effective to determine the optimal design was possible. by using the generated framework for optimal shape design based on NRSM. In the future research, we try to apply the optimization problem for Naval Architectural & Ocean Engineering based on the results of this study.
Joint Space Trajectory Planning on RTOS
Yang, Gil-Jin ; Choi, Byoung-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 52~57
DOI : 10.5391/JKIIS.2014.24.1.052
This paper presents an implementation of a smooth path planning method considering physical limits on a real time operating system for a two-wheel mobile robot. A Bezier curve is utilized to make a smooth path considering a robot`s position and direction angle through the defined path. A convolution operator is used to generate the center velocity trajectory to travel the distance of the planned path while satisfying the physical limits. The joint space velocity is computed to drive the two-wheel mobile robot from the center velocity. Trajectory planning, velocity command according to the planned trajectory, and monitoring of encoder data are implemented with a multi-tasking system. And the synchronization of tasks is performed with a real-time mechanism of Event Flag. A real time system with multi-tasks is implemented and the result is compared with a non-real-time system in terms of path tracking to the designed path. The result shows the usefulness of a real-time multi-tasking system to the control system which requires real-time features.
Improvement of Bipolar Magnetic Guidance Sensor Performance using Fuzzy Inference System
Park, Moonho ; Cho, Hyunhak ; Kim, Kwangbaek ; Kim, Sungshin ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 58~63
DOI : 10.5391/JKIIS.2014.24.1.058
Most of light duty AGVs(AGCs) using tape of magnetic for the guide path have digital guidance magnetic sensor. Digital guidance magnetic sensor using magnet-tape is on/off type and has positioning error of magnet-tape as 10~50 mm. AGC using this sensor doesn`t induce accurate position of magnet-line which is magnet-tape because of magnetic field which motor in AGC creates, outer magnetic field, earth`s magnetic field, etc. AGC when driving wobbles due to this error and this error can cause path deviation. In this paper, we propose fuzzy inference system for improvement of bipolar analog magnetic guidance sensor performance. Fuzzy is suitable in term of fault tolerance, uncertainty tolerance, real-time operation, and Nonlinearity as compared with other algorithms. In previous research, we produced bipolar magnetic guidance sensor and we set the threshold in order to calculate digital values of magnet position. Fuzzy inference system is designed using outputs of Analog hall sensors. Magnet position calculated by digital method is improved by outputs of this system. In result, proposed method was verified by improving performance of magnetic guidance sensor.
Motion Control of a Mobile Robot Using Natural Hand Gesture
Kim, A-Ram ; Rhee, Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 64~70
DOI : 10.5391/JKIIS.2014.24.1.064
In this paper, we propose a method that gives motion command to a mobile robot to recognize human being`s hand gesture. Former way of the robot-controlling system with the movement of hand used several kinds of pre-arranged gesture, therefore the ordering motion was unnatural. Also it forced people to study the pre-arranged gesture, making it more inconvenient. To solve this problem, there are many researches going on trying to figure out another way to make the machine to recognize the movement of the hand. In this paper, we used third-dimensional camera to obtain the color and depth data, which can be used to search the human hand and recognize its movement based on it. We used HMM method to make the proposed system to perceive the movement, then the observed data transfers to the robot making it to move at the direction where we want it to be.
Meter Numeric Character Recognition Using Illumination Normalization and Hybrid Classifier
Oh, Hangul ; Cho, Seongwon ; Chung, Sun-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 71~77
DOI : 10.5391/JKIIS.2014.24.1.071
In this paper, we propose an improved numeric character recognition method which can recognize numeric characters well under low-illuminated and shade-illuminated environment. The LN(Local Normalization) preprocessing method is used in order to enhance low-illuminated and shade-illuminated image quality. The reading area is detected using line segment information extracted from the illumination-normalized meter images, and then the three-phase procedures are performed for segmentation of numeric characters in the reading area. Finally, an efficient hybrid classifier is used to classify the segmented numeric characters. The proposed numeric character classifier is a combination of multi-layered feedforward neural network and template matching module. Robust heuristic rules are applied to classify the numeric characters. Experiments using meter image database were conducted. Meter image database was made using various kinds of meters under low-illuminated and shade-illuminated environment. The experimental results indicates the superiority of the proposed numeric character recognition method.
Development of intelligent fault diagnostic system for mechanical element of wind power generator
Moon, Dea-Sun ; Kim, Sung-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 78~83
DOI : 10.5391/JKIIS.2014.24.1.078
Recently, a rapid growth of wind power system as a leading renewable energy source has compelled a number of companies to develop intelligent monitoring and diagnostic system. Such systems can detect early mechanical faults, which prevents from costly repairs. Generally, fault diagnostic system for wind turbines is based on vibration and process signal analysis. In this work, different type of mechanical faults such as mass unbalance and shaft misalignment which can always happen in wind turbine system is considered. The proposed intelligent fault diagnostic algorithm utilizes artificial neural network and Wavelet transform. In order to verify the feasibility of the proposed algorithm, mechanical fault generation experimental system manufactured by Gaon corporation is utilized.
Control of an Omni-directional Mobile Robot Based on Camera Image
Kim, Bong Kyu ; Ryoo, Jung Rae ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 84~89
DOI : 10.5391/JKIIS.2014.24.1.084
In this paper, an image-based visual servo control strategy for tracking a target object is applied to a camera-mounted omni-directional mobile robot. In order to get target angular velocity of each wheel from image coordinates of the target object, in general, a mathematical image Jacobian matrix is built using a camera model and a mobile robot kinematics. Unlike to the well-known mathematical image Jacobian, a simple rule-based control strategy is proposed to generate target angular velocities of the wheels in conjunction with size of the target object captured in a camera image. A camera image is divided into several regions, and a pre-defined rule corresponding to the target-located image region is applied to generate target angular velocities of wheels. The proposed algorithm is easily implementable in that no mathematical description for image Jacobian is required and a small number of rules are sufficient for target tracking. Experimental results are presented with descriptions about the overall experimental system.
EEG based Vowel Feature Extraction for Speech Recognition System using International Phonetic Alphabet
Lee, Tae-Ju ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 90~95
DOI : 10.5391/JKIIS.2014.24.1.090
The researchs using brain-computer interface, the new interface system which connect human to macine, have been maded to implement the user-assistance devices for control of wheelchairs or input the characters. In recent researches, there are several trials to implement the speech recognitions system based on the brain wave and attempt to silent communication. In this paper, we studied how to extract features of vowel based on international phonetic alphabet (IPA), as a foundation step for implementing of speech recognition system based on electroencephalogram (EEG). We conducted the 2 step experiments with three healthy male subjects, and first step was speaking imagery with single vowel and second step was imagery with successive two vowels. We selected 32 channels, which include frontal lobe related to thinking and temporal lobe related to speech function, among acquired 64 channels. Eigen value of the signal was used for feature vector and support vector machine (SVM) was used for classification. As a result of first step, we should use over than 10th order of feature vector to analyze the EEG signal of speech and if we used 11th order feature vector, the highest average classification rate was 95.63 % in classification between /a/ and /o/, the lowest average classification rate was 86.85 % with /a/ and /u/. In the second step of the experiments, we studied the difference of speech imaginary signals between single and successive two vowels.
Development of fault diagnostic system for mass unbalance and aerodynamic asymmetry of wind turbine system by using GH-Bladed
Kim, Se-Yoon ; Kim, Sung-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 96~101
DOI : 10.5391/JKIIS.2014.24.1.096
Wind power is the fastest growing renewable energy source in the world and it is expected to remain so for some times. Recently, there is a constant need for the reduction of Operational and Maintenance(O&M) costs of Wind Energy Conversion Systems(WECS). The most efficient way of reducing O&M cost would be to utilize CMS(Condition Monitoring System) of WECS. CMS allows for early detection of the deterioration of the wind generator`s health, facilitating a proactive action, minimizing downtime, and finally maximizing productivity. There are two types of faults such as mass unbalance and aerodynamic asymmetry which are related to wind turbine`s rotor faults. Generally, these faults tend to generate various vibrations. Therefore, in this work a simple fault detection algorithm based on spectrums of vibration signals and simple max-min decision logic is proposed. Furthermore, in order to verify its feasibility, several simulation studies are carried out by using GH-bladed software.
Design of Fuzzy PID Controllers using TSK Fuzzy Systems
Kang, Geuntaek ; Oh, Kabsuk ;
Journal of Korean Institute of Intelligent Systems, volume 24, issue 1, 2014, Pages 102~109
DOI : 10.5391/JKIIS.2014.24.1.102
In this paper, an algorithm to design fuzzy PID controllers is proposed. The proposed controllers are composed of fuzzy rules of which consequences are linear PID controllers and are designed with help of TSK fuzzy controllers. TSK fuzzy controllers are designed from TSK fuzzy model using pole assignment and have outstanding ability making the output response of nonlinear systems similar to the desired one. However, because of its structure complexity the TSK fuzzy controller is difficult to be used in industry. The proposed controllers have PID controller structure which can be easily realized, and are designed by using the data obtained from control simulations with TSK fuzzy controllers. To verify the proposed algorithm, two example simulations are performed.