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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 101 Documents
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Search results for , issue "Vol 12, No 2: February 2014" : 101 Documents clear
Bayesian Network Structure Learning Based On Rough Set and Mutual Information Zuhong Feng; Xiujuan Gao; Long Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In Bayesian network structure learning for incomplete data set, a common problem is too many attributes causing low efficiency and high computation complexity. In this paper, an algorithm of attribute reduction based on rough set is introduced. The algorithm can effectively reduce the dimension of attributes and quickly determine the network structure using mutual information for Bayesian network structure learning. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3768
Techniques of Spectrum and Correlation Characteristics for Ultrasonic Ranging System Tao Gao; Zhen-Jing Yao; Lifeng Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Both the spectrum and correlation characteristics are important in constructing excitation sequences to realize the multichannel ultrasonic sensors working together. For LFM excitation sequence, there should not be too many simultaneously fired ultrasonic sensors, because of the limited available frequency band of the ultrasonic ranging system. The optimized CFM excitation sequences are proposed to trigger multiple-user ultrasonic sensors in this paper. Comparing with the CFM excitation sequences without optimization, the NSGA-II based optimization CFM excitation sequences are more spectrally matched to the ultrasonic ranging system. Moreover, the ultrasonic crosstalk among multichannel sensors of an ultrasonic ranging system can be eliminated. Real experiments using an ultrasonic ranging system consisting of eight-channel SensComp 600 series electrostatic sensors excited with optimized CFM excitation sequences validate the suitability of the proposed method. The idea of optimizing CFM excitation sequences can also be used for the ultrasonic ranging system which has more than eight ultrasonic sensors. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4182 
Stability Analysis of a Class of Fractional-order Neural Networks Tao Zou; Jianfeng Qu; Liping Chen; Yi Chai; Zhimin Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the problems of the existence and uniqueness of solutions and stability for a class of fractional-order neural networks are studied by using Banach fixed point principle and analysis technique, respectively. A sufficient condition is given to ensure the existence and uniqueness of solutions and uniform stability of solutions for fractional-order neural networks with variable coefficients and multiple time delays. The obtained results improve and extend some previous works to some extent, and they are easy to check in practice. An illustrative example is presented to show the validity and application of the proposed results. DOI :http://dx.doi.org/10.11591/telkomnika.v12i2.4409
Harmonic Analysis and Compensation Strategy for Grid-connected Inverter with LCL Filter Xiaowei Dong; Yize Sun; Yujie Chen; Jie Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the harmonic components of grid-connected current are systemically and quantitatively analyzed, including the high-frequency harmonics caused by the modulation, and the low-frequency harmonics injected by the inherent non-linear characteristics and dead-time effects of switching tubes along with the DC voltage secondary pulsation and the grid disturbance. Furthermore, a combined control scheme of repetitive control and state feedback is brought forward, in which the feedforward decoupling for DC voltage and the feedforward compensation for grid voltage are added. The proposed control strategy can eliminate resonance peak of LCL filter, suppress and compensate the low-frequency harmonics, so that quick response and tracking without static error of the system can be realized. Finally, the rationality of the presented harmonic analysis and the validity of the presented combined control scheme are verified on the 3kW inverter experiment system.DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3578
An Optimized Neural Network Classifier for Automatic Modulation Recognition Li Cheng; Jin Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Automatic modulation recognition which is one of the key technologies in no-cooperative communications has extensive application prospects in civilian and military fields. The design of classifier played a decisive role in recognition results. The classifier based on back propagation (BP) neural network is better in the existing methods. However, the traditional back propagation neural network (BPNN) have some well-known disadvantages. This study investigates the design of a classifier for recognition of six common digital modulations. This classifier based on BP neural network trained by improved particle swarm optimization (PSO) which is applied as a local search algorithm to find the optimal weights and thresholds of BPNN. The simulation experiment results demonstrate that the proposed classifier has a higher recognition accuracy than other classifiers. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3930
Passenger Flow Forecast Algorithm for Urban Rail Transit Li Shao Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

To exactly forecast the urban rail transit passenger flow, a multi-level model combining neural network and Kalman filter was proposed. Firstly, ELAN neural network model was introduced to implement a preliminary forecast of the passenger flow. Then the Kalman filter was used to correct the preliminary forecast results, so as to further improve the accuracy. Finally, in order to validate the proposed model, the passenger flow in Shanghai subway transport hub was observed and simulated. Experimental results showed that the proposed multi-level model reduced error by about 0.8% and had better actual effect compared with any single algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3810
Serial Min-max Decoding Algorithm Based on Variable Weighting for Nonbinary LDPC Codes Zhongxun Wang; Xinglong Gao; Tiancheng Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, we perform an analysis on the min-max decoding algorithm for nonbinary LDPC(low-density parity-check) codes and propose serial min-max decoding algorithm. Combining with the weighted processing of the variable node message, we propose serial min-max decoding algorithm based on variable weighting for nonbinary LDPC codes in the end. The simulation indicates that when the bit error rate is 10^-3,compared with serial min-max decoding algorithm ,traditional min-max decoding algorithm and traditional minsum algorithm ,serial min-max decoding algorithm based on variable weighting can offer additional coding gain 0.2dB、0.8dB and 1.4dB respectively in additional white Gaussian noise channel and under binary phase shift keying modulation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4176 
Research of Embedded Tower Crane Monitoring System Based on FCS Xijian Zheng; Jinbao Zeng; Hong Zhang; Zhengyi Xie
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

To compensate for the lack of traditional safety limit device of tower crane, a design scheme of embedded tower crane intelligent monitoring system based on Fieldbus Control System was proposed. By this, online collection and transmission of tower crane real-time conditions were achieved, which could effectively improve the reliability and anti-interference of the system. Embedded development technology was used to build ARM-based master control platform. Embedded Linux cross-compiler environment was also built. Combining with embedded programming software, human-computer interaction interface of tower crane intelligent monitoring system was built, storage and display of tower crane’s online parameters were also realized. The use of the technology has opened up a new field of tower crane condition monitoring application. The research of this paper may provide reference for tower crane safety monitoring and fault diagnosing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4326 
Study of Economical-Technical Impacts of Distributed Generation on Medium-Voltage Grid Thi Dieu Thuy Nguyen; Jiangjun Ruan; Quan Nhu Nguyen; Ngoc Giang Le; Dan Tan; Longfei Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The development of Science and Technology has spurred the development of distributed generation, as well as the application of new renewable energy sources. DG connected to the grid can alter the power flow on the grid, reduce voltage loss and grid capacity loss; and also enhance the incident and reliability of grid power supply. When the number of DG connected to the grid increases, capacity direction varies depending on the distribution and consumption at specific time. Consequently, capacity losses in the grid can be reduced. Besides, DG connected to the grid is closely linked to the matters of environmental pollution and degradation, economic growth and living standard. This paper will discuss the impacts of grid-distributed generation on economic and technical indicators, which mainly focus on the relationship between degree of penetration and location of DG connection to the grid, regarding voltage and capacity losses in the line. The proposed model is calculated and tested via a 56-bus radial distribution system in the DELPHI7 programming language. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3796
Iterative Learning Impedance Control based on Physical Recovery Condition Elevation of Impaired Limb Jinbao He; Xia Zhuge; Zaifei Luo; Guojun Li; Zhang Yinchun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Rehabilitation robots have been designed to improve the daily life activity ability of patients with impaired limb. In this paper, we proposed a new iterative learning impedance control(ITLC) algorithm, which based on the physical recovery condition of impaired limb. Firstly, we evaluated the physical recovery condition elevation of impaired limb with periodic force parameter and trajectory tracking ratio(TTR) parameter, and modified the desired impedance on line using fuzzy method according to the change of physical recovery condition. Secondly, we designed an adaptive impedance controller that can be modified using iterative learning method. The convergence was analyzed based upon the Lyapunovlike positive definite sequence, which was monotonically decreasing under the proposed control schemes. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3867

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