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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 25, Issue 6 - Dec 2015
Volume 25, Issue 5 - Oct 2015
Volume 25, Issue 4 - Aug 2015
Volume 25, Issue 3 - Jun 2015
Volume 25, Issue 2 - Apr 2015
Volume 25, Issue 1 - Feb 2015
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Analysis of Nonlinear Dynamics in Family Model
Huang, Lyniun ; Bae, Young-Chul ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 313~318
DOI : 10.5391/JKIIS.2015.25.4.313
Recently, it is emphasized importance of family. The new husband and wife are created by caused marriage, they organize new family including wife's home and husband's home. As a result, they conflict or accomplish peace with new family. Such a researchers mainly have been studied in the social science side. Because there is no mathematical modeling which is one of the natural science, for family relationship, it is not provide to reveal the behavioral phenomena between families fundamentally. In this paper, one of the nonlinear research for social subject, we modify love model of Romeo and Juliet. Then we propose novel family relationship model for parent-in-law and daughter (or son)-in-law relation. We also confirm chaotic behavior or nonlinear behavior by time series and phase portrait.
Investigations on data-driven stochastic optimal control and approximate-inference-based reinforcement learning methods
Park, Jooyoung ; Ji, Seunghyun ; Sung, Keehoon ; Heo, Seongman ; Park, Kyungwook ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 319~326
DOI : 10.5391/JKIIS.2015.25.4.319
Recently in the fields o f stochastic optimal control ( SOC) and reinforcemnet l earning (RL), there have been a great deal of research efforts for the problem of finding data-based sub-optimal control policies. The conventional theory for finding optimal controllers via the value-function-based dynamic programming was established for solving the stochastic optimal control problems with solid theoretical background. However, they can be successfully applied only to extremely simple cases. Hence, the data-based modern approach, which tries to find sub-optimal solutions utilizing relevant data such as the state-transition and reward signals instead of rigorous mathematical analyses, is particularly attractive to practical applications. In this paper, we consider a couple of methods combining the modern SOC strategies and approximate inference together with machine-learning-based data treatment methods. Also, we apply the resultant methods to a variety of application domains including financial engineering, and observe their performance.
Wind Speed Estimation using Regression Method for Maximum Power Control
Ko, SeungYoun ; Kim, Ho-Chan ; Huh, Jong-Chul ; Kang, Min-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 327~333
DOI : 10.5391/JKIIS.2015.25.4.327
Wind turbines, in the case of less than rated wind speed, is controlled to achieve maximum power. MPC(Maximun Power Control) method, by controlling the rotational speed of the generator, is a method to achieve maximum power but should know the wind speed. However, for several reasons, there have been proposed methods of estimating the wind speed rather than measuring wind speed. TSR(Tip Speed Ratio) is needed to know to estimate the wind speed. However, a complex interaction formula has to be solved to find a TSR. Therefore, many methods have been suggested to solve a complex interaction formula. In this paper, the new method has been proposed to simplify the complicated interaction formula by using the regression method. Matlab/Simulink is used to simulate and to verify the proposed method.
A System Development for Remotely Controlling Windows and Doors in Mobile Environment
Cho, Yong-Hyun ; Ryu, Sung-Won ; Ahn, Kyung-Gyu ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 334~341
DOI : 10.5391/JKIIS.2015.25.4.334
This paper develops a new system for remotely monitoring and controlling the windows and doors in mobile environment. We design and implement the opening and shutting unit, the gateway, and the control server system, respectively. The opening and shutting unit consists of the driver using DC motor and the motion controller which monitors the state and transfers the control information. The gateway supports TCP/IP and CDMA protocol, which is the interface of wire and wireless communication for transferring the current state and control information. The control server consists of the program to store and process the control information, the middleware to support the processing of various state message, and DB for monitoring the state and remotely controlling the system. Especially, an application software and the Web-based user interface have also been developed to support the mobile environment. The operation performances, environment influences, driving persistences, and operation failure ratio, which are based on PC and smart-phone, have been tested in 2 authorized agencies. The test results show that the developed system has a superior performance.
Development of Surface Robot for Floating Debris Removal
Ki, Hyeon-Seung ; Kim, Hyun-Sik ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 342~348
DOI : 10.5391/JKIIS.2015.25.4.342
Recently, many waste is getting into the ocean because of natural disasters and trash of illegality. These destroy the marine ecosystem and the great views around the ocean. Many methods are used for the removal of the waste in the ocean and one of the main waste forms is floating debris. In order to remove the waste, the nets are mostly used and the ships are recently used. However, many problems are occurred due to low number of people and techniques in the ship-based removal. To solve this problem, a surface robot for floating debris removal is developed. To verify the performance of the developed robot, tests of surge, yaw, and floating debris removal are executed. The test results show the possibility of real applications and the need for additional studies.
Takagi-Sugeno Fuzzy Sampled-data Filter for Nonlinear System
Kim, Ho Jun ; Park, Jin Bae ; Joo, Young Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 349~354
DOI : 10.5391/JKIIS.2015.25.4.349
This paper presents the stability conditions of the Takagi-Sugeno (T-S) fuzzy sampled-data filter. The error system between the T-S fuzzy system and fuzzy filter is presented. In the sense of the Lyapunov stability analysis, the stability conditions are given, which can be represented in terms of linear matrix inequalities (LMIs). The proposed stability conditions utilize the different approach from the conventional methods, and have better performance than that of the conventional ones. The simulation example is given to show the effectiveness of the proposed method.
Design of PCA-based pRBFNNs Pattern Classifier for Digit Recognition
Lee, Seung-Cheol ; Oh, Sung-Kwun ; Kim, Hyun-Ki ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 355~360
DOI : 10.5391/JKIIS.2015.25.4.355
In this paper, we propose the design of Radial Basis Function Neural Network based on PCA in order to recognize handwritten digits. The proposed pattern classifier consists of the preprocessing step of PCA and the pattern classification step of pRBFNNs. In the preprocessing step, Feature data is obtained through preprocessing step of PCA for minimizing the information loss of given data and then this data is used as input data to pRBFNNs. The hidden layer of the proposed classifier is built up by Fuzzy C-Means(FCM) clustering algorithm and the connection weights are defined as linear polynomial function. In the output layer, polynomial parameters are obtained by using Least Square Estimation (LSE). MNIST database known as one of the benchmark handwritten dataset is applied for the performance evaluation of the proposed classifier. The experimental results of the proposed system are compared with other existing classifiers.
UKF Localization of a Mobile Robot in an Indoor Environment and Performance Evaluation
Han, Jun Hee ; Ko, Nak Yong ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 361~368
DOI : 10.5391/JKIIS.2015.25.4.361
This paper reports an unscented Kalman filter approach for localization of a mobile robot in an indoor environment. The method proposes a new model of measurement uncertainty which adjusts the error covariance according to the measured distance. The method also uses non-zero off diagonal values in error covariance matrices of motion uncertainty and measurement uncertainty. The method is tested through experiments in an indoor environment of 100*40 m working space using a differential drive robot which uses Laser range finder as an exteroceptive sensor. The results compare the localization performance of the proposed method with the conventional method which doesn't use adaptive measurement uncertainty model. Also, the experiment verifies the improvement due to non-zero off diagonal elements in covariance matrices. This paper contributes to implementing and evaluating a practical UKF approach for mobile robot localization.
Intelligent Controller for Optimal Coagulant Dosage Rate in Water Treatment Process
Lee, Ho-Hyun ; Shin, Gang-Wook ; Hong, Sung-Taek ; Chun, Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 369~376
DOI : 10.5391/JKIIS.2015.25.4.369
Chemicals are injected in order to remove a variety of organic substances contained in the water purification plant influent. It can be determined with measuring sedimentation turbidity 4~7 hours later, whether the chemical dosage rate is proper or not, which make the real-time feedback control impossible. In addition, manual operation in accordance with the Jar-Test carried out in the laboratory and the operator's experience may cause the experimental and human error by the changes of organic characteristics and water quality. Especially at night ad weekend, the rate have been determined only by the operator judgment owing to environment engineer's absence. Therefore, the decision of optimal chemical dosage rate using proposed intelligent control algorithm is expected to result in real-time injection and cost reduction.
Forward Vehicle Tracking Based on Weighted Multiple Instance Learning Equipped with Particle Filter
Park, Keunho ; Lee, Joonwhoan ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 377~385
DOI : 10.5391/JKIIS.2015.25.4.377
This paper proposes a novel forward vehicle tracking algorithm based on the WMIL(Weighted Multiple Instance Learning) equipped with a particle filter. In the proposed algorithm Haar-like features are used to train a vehicle object detector to be tracked and the location of the object are obtained from the recognition result. In order to combine both the WMIL to construct the vehicle detector and the particle filter, the proposed algorithm updates the object location by executing the propagation, observation, estimation, and selection processes involved in particle filter instead of finding the credence map in the search area for every frame. The proposed algorithm inevitably increases the computation time because of the particle filter, but the tracking accuracy was highly improved compared to Ababoost, MIL(Multiple Instance Learning) and MIL-based ones so that the position error was 4.5 pixels in average for the videos of national high-way, express high-way, tunnel and urban paved road scene.
Comparison Between Optimal Features of Korean and Chinese for Text Classification
Ren, Mei-Ying ; Kang, Sinjae ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 386~391
DOI : 10.5391/JKIIS.2015.25.4.386
This paper proposed the optimal attributes for text classification based on Korean and Chinese linguistic features. The experiments committed to discover which is the best feature among n-grams which is known as language independent, morphemes that have language dependency and some other feature sets consisted with n-grams and morphemes showed best results. This paper used SVM classifier and Internet news for text classification. As a result, bi-gram was the best feature in Korean text categorization with the highest F1-Measure of 87.07%, and for Chinese document classification, 'uni-gram+noun+verb+adjective+idiom', which is the combined feature set, showed the best performance with the highest F1-Measure of 82.79%.
A Novel Methodology for Extracting Core Technology and Patents by IP Mining
Kim, Hyun Woo ; Kim, Jongchan ; Lee, Joonhyuck ; Park, Sangsung ; Jang, Dongsik ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 392~397
DOI : 10.5391/JKIIS.2015.25.4.392
Society has been developed through analogue, digital, and smart era. Every technology is going through consistent changes and rapid developments. In this competitive society, R&D strategy establishment is significantly useful and helpful for improving technology competitiveness. A patent document includes technical and legal rights information such as title, abstract, description, claim, and patent classification code. From the patent document, a lot of people can understand and collect legal and technical information. This unique feature of patent can be quantitatively applied for technology analysis. This research paper proposes a methodology for extracting core technology and patents based on quantitative methods. Statistical analysis and social network analysis are applied to IPC codes in order to extract core technologies with active R&D and high centralities. Then, core patents are also extracted by analyzing citation and family information.
Dynamic Modeling based Flight Control of Hexa-Rotor Helicopter System
Han, Jae-Gyun ; Jin, Taeseok ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 398~404
DOI : 10.5391/JKIIS.2015.25.4.398
In this paper, we describe the design and performance of a prototype multi-rotor unmaned aerial vehicle( UAV) platform featuring an inertial measurement unit(IMU) based autonomous-flying for use in bluetooth communication environments. Although there has been a fair amount of study of free-flying UAV with multi-rotors, the more recent trend has been to outfit hexarotor helicopter with gimbal to support various services. This paper introduces the hardware and software systems toward very compact and autonomous hexarotors, where they can perform search, rescue, and surveillance missions without external assistance systems like ground station computers, high-performance remote control devices or vision system. The proposed system comprises the construction of the test hexarotor platform, the implementation of an IMU, mathematical modeling and simulation in the helicopter. Furthermore, the hexarotor helicopter with implemented IMU is connected with a micro controller unit(MCU)(ARM-cortex) board. The micro-controller is able to command the rotational speed of the rotors and to get the measurements of the IMU as input signals. The control simulation and experiment on the real system are implemented in the test platform, evaluated and compared against each other.
The Design of a Control & Measurement System for the Driving of Wheel-in Motor
Choi, Jung-Keyng ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 405~411
DOI : 10.5391/JKIIS.2015.25.4.405
This paper sugg ests speed measurement and control system desig n methods to drive the Wheel-in Motor that is transfer rotational force to the hub of the wheel and drives it directly. The dsPIC30F2010 16 bit microprocessor specified to motion controller is used as a intelligent controller. The minimum functions of dsPIC30F2010, system clock, PWM output, I/O, timer, communication, applicable to motor control are used and operating characteristics of hall signal measurement and control software functions are tested. Also the algorithm including PDFF speed control program was implemented using this software functions and show the experimental results..
Implicit Surface Representation of Three-Dimensional Face from Kinect Sensor
Wibowo, Suryo Adhi ; Kim, Eun-Kyeong ; Kim, Sungshin ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 4, 2015, Pages 412~417
DOI : 10.5391/JKIIS.2015.25.4.412
Kinect sensor has two output data which are produced from red green blue (RGB) sensor and depth sensor, it is called color image and depth map, respectively. Although this device's prices are cheapest than the other devices for three-dimensional (3D) reconstruction, we need extra work for reconstruct a smooth 3D data and also have semantic meaning. It happened because the depth map, which has been produced from depth sensor usually have a coarse and empty value. Consequently, it can be make artifact and holes on the surface, when we reconstruct it to 3D directly. In this paper, we present a method for solving this problem by using implicit surface representation. The key idea for represent implicit surface is by using radial basis function (RBF) and to avoid the trivial solution that the implicit function is zero everywhere, we need to defined on-surface point and off-surface point. Based on our simulation results using captured face as an input, we can produce smooth 3D face and fill the holes on the 3D face surface, since RBF is good for interpolation and holes filling. Modified anisotropic diffusion is used to produced smoothed surface.