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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 22, Issue 6 - Dec 2012
Volume 22, Issue 5 - Oct 2012
Volume 22, Issue 4 - Aug 2012
Volume 22, Issue 3 - Jun 2012
Volume 22, Issue 2 - Apr 2012
Volume 22, Issue 1 - Feb 2012
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Design of Fuzzy Models with the Aid of an Improved Differential Evolution
Kim, Hyun-Ki ; Oh, Sung-Kwun ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 399~404
DOI : 10.5391/JKIIS.2012.22.4.399
Evolutionary algorithms such as genetic algorithm (GA) have been proven their effectiveness when applying to the design of fuzzy models. However, it tends to suffer from computationally expensWive due to the slow convergence speed. In this study, we propose an approach to develop fuzzy models by means of an improved differential evolution (IDE) to overcome this limitation. The improved differential evolution (IDE) is realized by means of an orthogonal approach and differential evolution. With the invoking orthogonal method, the IDE can search the solution space more efficiently. In the design of fuzzy models, we concern two mechanisms, namely structure identification and parameter estimation. The structure identification is supported by the IDE and C-Means while the parameter estimation is realized via IDE and a standard least square error method. Experimental studies demonstrate that the proposed model leads to improved performance. The proposed model is also contrasted with the quality of some fuzzy models already reported in the literature.
Abnormality Detection of ECG Signal by Rule-based Rhythm Classification
Ryu, Chun-Ha ; Kim, Sung-Oan ; Kim, Se-Yun ; Kim, Tae-Hun ; Choi, Byung-Jae ; Park, Kil-Houm ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 405~413
DOI : 10.5391/JKIIS.2012.22.4.405
Low misclassification performance is significant with high classification accuracy for a reliable diagnosis of ECG signals, and diagnosing abnormal state as normal state can especially raises a deadly problem to a person in ECG test. In this paper, we propose detection and classification method of abnormal rhythm by rule-based rhythm classification reflecting clinical criteria for disease. Rule-based classification classifies rhythm types using rule-base for feature of rhythm section, and rule-base deduces decision results corresponding to professional materials of clinical and internal fields. Experimental results for the MIT-BIH arrhythmia database show that the applicability of proposed method is confirmed to classify rhythm types for normal sinus, paced, and various abnormal rhythms, especially without misclassification in detection aspect of abnormal rhythm.
Analyzing Problem Instance Space Based on Difficulty-distance Correlation
Jeon, So-Yeong ; Kim, Yong-Hyuk ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 414~424
DOI : 10.5391/JKIIS.2012.22.4.414
Finding or automatically generating problem instance is useful for algorithm analysis/test. The topic has been of interest in the field of hardware/software engineering and theory of computation. We apply objective value-distance correlation analysis to problem spaces, as previous researchers applied it to solution spaces. According to problems, we define the objective function by (1) execution time of tested algorithm or (2) its optimality; this definition is interpreted as difficulty of the problem instance being solved. Our correlation analysis is based on the following aspects: (1) change of correlation when we use different algorithms or different distance functions for the same problem, (2) change of that when we improve the tested algorithm, (3) relation between a problem instance space and the solution space for the same problem. Our research demonstrates the way of problem instance space analysis and will accelerate the problem instance space analysis as an initiative research.
Fuzzy Test of Hypotheses by Rate of Internal Division
Kang, Man-Ki ; Jung, Ji-Young ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 425~428
DOI : 10.5391/JKIIS.2012.22.4.425
We propose some properties for fuzzy hypotheses testing by the principle of the rate of internal division on delta-levels. By the rate of internal division, we show that the acceptance and rejection degree for fuzzy the fuzzy hypotheses and reduce the spread of the fuzzy variance with average of the center and left or right spread of fuzzy number data.
ERS Feature Extraction using STFT and PSO for Customized BCI System
Kim, Yong-Hoon ; Kim, Jun-Yeup ; Park, Seung-Min ; Ko, Kwang-Eun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 429~434
DOI : 10.5391/JKIIS.2012.22.4.429
This paper presents a technology for manipulating external devices by Brain Computer Interface (BCI) system. Recently, BCI based rehabilitation and assistance system for disabled people, such as patient of Spinal Cord Injury (SCI), general paralysis, and so on, is attracting tremendous interest. Especially, electroencephalogram (EEG) signal is used to organize the BCI system by analyzing the signals, such as evoked potential. The general findings of neurophysiology support an availability of the EEG-based BCI system. We concentrate on the event-related synchronization of motor imagery EEG signal, which have an affinity with an intention for moving control of external device. To analyze the brain activity, short-time Fourier transform and particle swarm optimization are used to optimal feature selection from the preprocessed EEG signals. In our experiment, we can verify that the power spectral density correspond to range mu-rhythm(
~12Hz) have maximum amplitude among the raw signals and most of particles are concentrated in the corresponding region. Result shows accuracy of subject left hand 40% and right hand 38%.
Design of Autonomous Navigation Systems based on Wireless Networks
Park, Hye-G. ; Lee, Hyong-G. ; Kwon, Soon-H. ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 435~440
DOI : 10.5391/JKIIS.2012.22.4.435
Recently autonomous navigation systems are taken great attention in real industry. The ability to performing desired tasks in rough, changing, unstructured and uncertain environments without continuous human assistance is needed in autonomous navigation systems including autonomous robots. Industrial Mobile robot can be required wireless network communications for the purpose of navigation information sharing. According to these backgrounds, in this paper, we develop sensor network and wireless network-based autonomous navigation systems, and provide experimental results in order to show the validity of the developed systems.
Design of T-S Fuzzy Model Based H
Controller for Diving Control of AUV: An LMI Approach
Jun, Sung-Woo ; Kim, Do-Wan ; Lee, Ho-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 441~447
DOI : 10.5391/JKIIS.2012.22.4.441
This paper presents a design technique of a Takagi-Sugeno (T-S) fuzzy-model-based
controller for autonomous underwater vehicles (AUVs). The design procedure aims to render the stabilizing controller which satisfies performance of the diving control for AUVs in the presence of the disturbance. A nonlinear AUV is modeled by the T-S fuzzy system through the sector nonlinearity. By using Lyapunov function, the sufficient conditions are derived to guarantee the performance of robust depth control in the format of linear matrix inequality (LMI). To succeed for diving control of AUV, we add the constraints on the diving and pitch angles in the LMI conditions. Through the simulation, we confirm the effectiveness of the proposed methodology.
Obstacle Avoidance Algorithm of Hybrid Wheeled and Legged Mobile Robot Based on Low-Power Walking
Jeong, Dong-Hyuk ; Lee, Bo-Hoon ; Kim, Yong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 448~453
DOI : 10.5391/JKIIS.2012.22.4.448
There are many researches to develop robots that improve its mobility to adapt in various uneven environments. In the paper, a hybrid wheeled and legged mobile robot is designed and a obstacle avoidance algorithm is proposed based on low power walking using LRF(Laser Range Finder). In order to stabilize the robot`s motion and reduce energy consumption, we implement a low-power walking algorithm through comparison of the current value of each motors and correction of posture balance. A low-power obstacle avoidance algorithm is proposed by using LRF sensor. We improve walking stability by distributing power consumption and reduce energy consumption by selecting a shortest navigation path of the robot. The proposed methods are verified through walking and navigation experiments with the developed hybrid robot.
Determining Kernel Function of Apparent Earth Resistivity Using Linearization
Kang, Min-Jae ; Boo, Chang-Jin ; Lee, Jung-Hoon ; Kim, Ho-Chan ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 454~459
DOI : 10.5391/JKIIS.2012.22.4.454
A kernel function of apparent earth resistivity can be estimated using the apparent earth resistivity measured with Wenner`s 4 point method. It becomes to solve a nonlinear system to estimate the kernel function of apparent earth resistivity. However it is not simple to get solution of nonlinear system with many unknown variables. This paper suggests the method of estimating kernel function by linearizing this nonlinear system. Finally, various examples of earth structure have been simulated to evaluate the proposed method in this paper.
Development of Wireless Remote Monitoring System for Small Wind Turbine System
Moon, Dae-Sun ; Kim, Sung-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 460~467
DOI : 10.5391/JKIIS.2012.22.4.460
Recently, concern over climate change and global politics associated with traditional fossil fuel energy sources has driven significant increase in wind energy utilization over the past decade. Especially, small wind turbine systems below 10kW are actively developed by several companies from all over the world. Generally, for the small wind turbine systems to be installed for commercial purposes, the performance of the system should be certified. For this, wireless remote monitoring system should be developed for efficient monitoring. In this work, a new type of wireless remote monitoring system based on Zigbee communication is proposed. Furthermore, practical experimentations are carried out to verify the feasibility of the proposed scheme.
Design of Knowledge Model of Nursing Diagnosis based on Ontology
Lee, In-Keun ; Kim, Hwa-Sun ; Lee, Sung-Hee ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 468~475
DOI : 10.5391/JKIIS.2012.22.4.468
Nurses have performed their nursing practice according to the standard guidelines such as NANDA, NIC, and NOC, and recorded the information on nursing process into EMR system. In particular, NANDA, nursing diagnosis taxonomy, has difficulty expressing nursing diagnosis in detail because it represents abstract concepts of nursing diagnosis. So, the hospitals in KOREA have developed and used the list of nursing diagnosis on their own without referring the international standard terminologies, and it caused the delay of computerization of nursing records. Therefore, we proposed a ontology development methodology on nursing diagnosis based on NANDA and SNOMED-CT. The developed ontology, systematically developed with the frequently used nursing diagnosis terminologies in each hospital, based on the proposed methodology enables knowledge expansion and interoperable exchange of nursing records between EMR systems. We developed an ontology using the 112 nursing diagnosis terms defined by extracting and refining information on nursing diagnosis recorded in Kyungpook National University Hospital. We also confirmed the content validity and the usefulness of the developed ontology through expert assessment and experiment.
Formation Control for Swarm Robots Using Artificial Potential Field
Kim, Han-Sol ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 476~480
DOI : 10.5391/JKIIS.2012.22.4.476
In this paper, artificial potential field(APF) is applied to formation control for the leader-following swarm robot. Furthermore, APF is constructed by applying the electrical field model. Moreover, to model the obstacle effectively, each obstacle has different form due to the electrical field equation. The proposed method is formed as two sub-objective: path planning for the leader-robot and following-robots following the leader-robot. Finally, simulation example is given to prove the validity of proposed method.
Development of Health Monitoring System Using Self Magnetization Magnetostrictive Sensor
Kim, Yi-Gon ; Moon, Hong-Sik ; Kim, Jun ; Kim, Ji-Hyeon ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 481~486
DOI : 10.5391/JKIIS.2012.22.4.481
This thesis examines the development and application of `Health Monitoring System` which monitors periodically the state of a pipe of petrochemical plant by using magnetostrictive sensor technology. The existing guided-wave inspection methods cannot be applied to welding part inspection in pipe, and has a limit of precision when applied to general parts because of noise, reflected waves, and so on. This technology uses the information on displacement of a defect through periodic monitoring, which makes more precise inspection, and can be utilized very usefully in a petrochemical plant.
An Improved FastSLAM Algorithm using Fitness Sharing Technique
Kwon, Oh-Sung ; Hyeon, Byeong-Yong ; Seo, Ki-Sung ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 487~493
DOI : 10.5391/JKIIS.2012.22.4.487
SLAM(Simultaneous Localization And Mapping) is a technique used by robots and autonomous vehicles to build up a map within an unknown environment and estimate a place of robot. FastSLAM(A Factored Solution to the SLAM) is one of representative method of SLAM, which is based on particle filter and extended Kalman filter. However it is suffered from loss of particle diversity. In this paper, new approach using fitness sharing is proposed to supplement loss of particle diversity, compared and analyzed with existing methods.
Object Detection Algorithm in Sea Environment Based on Frequency Domain
Park, Ki-Tae ; Jeong, Jong-Myeon ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 494~499
DOI : 10.5391/JKIIS.2012.22.4.494
In this paper, a new method for detecting various objects that can be risks to safety navigation in sea environment is proposed. By analysing Infrared(IR) images obtained from various sea environments, we could find out that object regions include both horizontal and vertical direction edges while background regions of sea surface mainly include vertical direction edges. Therefore, we present an approach to detecting object regions considering horizontal and vertical edges. To this end, in the first step, image enhancement is performed by suppressing noises such as sea glint and complex clutters using a statistical filter. In the second step, a horizontal edge map and a vertical edge map are generated by 1-D Discrete Cosine Transform technique. Then, a combined map integrating the horizontal and the vertical edge maps is generated. In the third step, candidate object regions are detected by a adaptive thresholding method. Finally, exact object regions are extracted by eliminating background and clutter regions based on morphological operation.
Modeling of Left Ventricular Assist Device and Suction Detection Using Fuzzy Subtractive Clustering Method
Park, Seung-Kyu ; Choi, Seong-Jin ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 500~506
DOI : 10.5391/JKIIS.2012.22.4.500
A method to model left ventricular assist device (LVAD) and detect suction occurrence for safe LVAD operation is presented. An axial flow blood pump as a LVAD has been used to assist patient with heart problems. While an axial flow blood pump, a kind of a non-pulsatile pump, has relative advantages of small size and efficiency compared to pulsatile devices, it has a difficulty in determining a safe pump operating condition. It can show different pump operating statuses such as a normal status and a suction status whether suction occurs in left ventricle or not. A fuzzy subtractive clustering method is used to determine a model of the axial flow blood pump with this pump operating characteristic and the developed pump model can provide blood flow estimates before and after suction occurrence in left ventricle. Also, a fuzzy subtractive clustering method is utilized to develop a suction detection model which can identify whether suction occurs in left ventricle or not.
Development of a Management Tool of CCD/CCR-centric Standard Clinical Document
Lee, In-Keun ; Cho, Hune ; Kim, Hwa-Sun ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 507~514
DOI : 10.5391/JKIIS.2012.22.4.507
XML-based standards such as CCD(Continuity of Care Document) and CCR(Continuity of Care Record) have been developed for representation, integration, and exchange of personal health record(PHR), and various of researches on PHR based on the standards have been conducted. These researches have developed and used CCD/CCR parsers each with their own different ways, but it can be hard to develop and update the parsers because of the structural complexity of the standards. Moreover, inter-exchange between CCD and CCR documents in the PHR-related medical information systems should be possible for the interoperability of the systems. Therefore, we proposed a designing method to develop the tools treating XML-based CCD/CCR documents. And we implemented CCD/CCR parser based on the proposed method and developed a converter from CCD to CCR using the parsers. To confirm the usefulness of the developed tool, we performed an experiment of creating CCD documents using the personal health data gathered from chronically ill patients in Kyungpook National University Hospital and of converting from the CCD documents to CCR documents.
Improved Feature Extraction of Hand Movement EEG Signals based on Independent Component Analysis and Spatial Filter
Nguyen, Thanh Ha ; Park, Seung-Min ; Ko, Kwang-Eun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 515~520
DOI : 10.5391/JKIIS.2012.22.4.515
In brain computer interface (BCI) system, the most important part is classification of human thoughts in order to translate into commands. The more accuracy result in classification the system gets, the more effective BCI system is. To increase the quality of BCI system, we proposed to reduce noise and artifact from the recording data to analyzing data. We used auditory stimuli instead of visual ones to eliminate the eye movement, unwanted visual activation, gaze control. We applied independent component analysis (ICA) algorithm to purify the sources which constructed the raw signals. One of the most famous spatial filter in BCI context is common spatial patterns (CSP), which maximize one class while minimize the other by using covariance matrix. ICA and CSP also do the filter job, as a raw filter and refinement, which increase the classification result of linear discriminant analysis (LDA).
Measuring System for Impact Point of Arrow using Mamdani Fuzzy Inference System
Yu, Jung-Won ; Lee, Han-Soo ; Jeong, Yeong-Sang ; Kim, Sung-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 521~526
DOI : 10.5391/JKIIS.2012.22.4.521
The performance of arrow from a manufacturing process depends on arrow`s trajectory(archer`s paradox) and intensity of an impact points. Especially, when conducting a shooting experiment over and over in the same experiment condition, the intensity of impact point is an objective standard to judge the performance of the arrow. However, the analysis method for the impact point is not enough, a previous research of the arrow`s performance has been focused on a skill to optimize a manufacturing variables(feathers of an arrow, barb of an arrow, arrow`s shaft, weight, external diameter, spine). In this paper, We propose measurement system of arrow`s impact point with Mamdani fuzzy inference system and similarity of polygon for automation of impact point`s measurement. Measuring the impact point data of the arrow moving with a high speed(approximately 275km/h) by using line laser and photo diode array, then the measured data are mapped to arrow`s impact point with fuzzy inference and similarity of polygon.
A Study on Distributed Particle Swarm Optimization Algorithm with Quantum-infusion Mechanism
Song, Dong-Ho ; Lee, Young-Il ; Kim, Tae-Hyoung ;
Journal of Korean Institute of Intelligent Systems, volume 22, issue 4, 2012, Pages 527~531
DOI : 10.5391/JKIIS.2012.22.4.527
In this paper, a novel DPSO-QI (Distributed PSO with quantum-infusion mechanism) algorithm improving one of the fatal defect, the so-called premature convergence, that degrades the performance of the conventional PSO algorithms is proposed. The proposed scheme has the following two distinguished features. First, a concept of neighborhood of each particle is introduced, which divides the whole swarm into several small groups with an appropriate size. Such a strategy restricts the information exchange between particles to be done only in each small group. It thus results in the improvement of particles` diversity and further minimization of a probability of occurring the premature convergence phenomena. Second, a quantum-infusion (QI) mechanism based on the quantum mechanics is introduced to generate a meaningful offspring in each small group. This offspring in our PSO mechanism improves the ability to explore a wider area precisely compared to the conventional one, so that the degree of precision of the algorithm is improved. Finally, some numerical results are compared with those of the conventional researches, which clearly demonstrates the effectiveness and reliability of the proposed DPSO-QI algorithm.