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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 102 Documents
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Search results for , issue "Vol 12, No 1: January 2014" : 102 Documents clear
Zero Dynamics Analysis for Inverse Decoupling Control of Asynchronous Traction Motor xin Li; Haiying Dong; Enen Ren
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Considering the problem for inverse system method in EMU AC induction traction motor linear decoupling, the zero dynamics subsystem will be separated from the original dynamic system through coordinate transformation. Firstly, a getting method for zero dynamics of the multiple input multiple output nonlinear system is discussed when γ＜n. Second, the zero dynamics analysis for five order nonlinear model of asynchronous traction motor which base on the stationary coordinate system is given by using inverse decoupling method. The analysis results show that if the stability of the zero dynamics can be ensured, then the entire linearization of original nonlinear system is not necessary, need only partial linearization which effect on the external dynamic portion. The inverse decoupling process of asynchronous traction motor can be simplified by this conclusion.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3354
Research of Image Compression Based on Quantum BP Network Qi-gao Feng; Hao-yu Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Quantum Neural Network (QNN), which integrates the characteristics of Artificial Neural Network (ANN) with quantum theory, is a new study field. It takes advantages of ANN and quantum computing and has a high theoretical value and potential applications. Based on quantum neuron model with a quantum input and output quantum and artificial neural network theory, at the same time, QBP algorithm is proposed on the basis of the complex BP algorithm, the network of a 3-layer quantum BP which implements image compression and image reconstruction is built. The simulation results show that QBP can obtain the reconstructed images with better quantity compared with BP in spite of the less learning iterations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3908
Improved Characters Feature Extraction and Matching Algorithm Based on SIFT Yueqiu Jiang; Yiguang Cheng; Hongwei Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to SIFT algorithm does not have the property of affine invariance, and the high complexity of time and space, it is difficult to apply to real-time image processing for batch image sequence, so an improved SIFT feature extraction algorithm was proposed in this paper. Firstly, the MSER algorithm detected the maximally stable extremely regions instead of the DOG operator detected extreme point, increasing the stability of the characteristics, and reducing the number of the feature descriptor; Secondly, the circular feature region is divided into eight fan-shaped sub-region instead of 16 square sub-region of the traditional SIFT, and using Gaussian function weighted gradient information field to construct the new SIFT features descriptor. Compared with traditional SIFT algorithm, The experimental results showed that the algorithm not only has translational invariance, scale invariance and rotational invariance, but also has affine invariance and faster speed that meet the requirements of real-time image processing applications. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4000
Nonlinear Direct Robust Adaptive Control Using Lyapunov Method Yimei Chen; Dapeng Wu; Chunbo Xiu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

   The problem of robust adaptive stabilization of a class of multi-input nonlinear systems with arbitrary unknown parameters and unknown structure of bounded variation have been considered. By employing the direct adaptive and control Lyapunov function method, a robust adaptive controller is designed to complete the globally adaptive stability of the system states. By employing our result, a kind of nonlinear system is analyzed, the concrete form of the control law is given and the meaningful quadratic control Lyapunov function for the system is constructed. Simulation of parallel manipulator is provided to illustrate the effectiveness of the proposed method.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3100
Multi-focus Image Fusion by SML in the Shearlet Subbands Liu Jianhua; Jianguo Yang; Beizhi Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

It is now widely acknowledged that traditional wavelets are not very effective in dealing with multidimensional signals containing distributed discontinuities. Shearlet Transform is a new discrete multiscale directional representation, which combines the power of multiscale methods with a unique ability to capture the geometry of multidimensional data and is optimally efficient in representing images containing edges. In this work, coefficients with greater Sum-Modified-Laplacian are selected to combine images when high-frequency and low-frequency Shearlet subbands of source images are compared. Numerical experiments demonstrate that the method base on Shearlet Transform and Sum-Modified-Laplacian is very competitive and better than other multi-scale geometric analysis tools in multifocus image fusion both in terms of objectives performance and objective criteria. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3365
The Research on Software Resource Re-sharing for Small and Medium-sized Enterprise Cloud Manufacturing System Xilong Qu; Wang Yingjun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The background, significance and the related research at home and abroad of software resource re-sharing in cloud manufacturing system are introduced. The current use and system structure of software in manufacturing are analyzed, and they are Web-based, software directly sharing, based package to share software indirectly and server-based technology for common software across the internet remote sharing. The special requirements for software sharing of cloud manufacturing system are presented.  According to the feature of small and medium-sized enterprise, a re-sharing approach of cloud manufacturing software sharing scheme for small and medium-sized enterprise is proposed, and this approach is very compatible, extended, and low-cost, it is very suitable for the manufacturing cloud of small and medium-sized enterprise. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.2918
Support Vector Machine Optimized by Improved Genetic Algorithm Xiang Chang Sheng; Zhou Yu; Xilong Qu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Parameters of support vector machines (SVM) which is optimized by standard genetic algorithm is easy to trap into the local minimum, in order to get the optimal parameters of support vector machine, this paper proposed a parameters optimization method for support vector machines based on improved genetic algorithm, the simulation experiment is carried out on 5 benchmark datasets. The simulation show that the proposed method not only can assure the classification precision, but also can reduce training time markedly compared with standard genetic algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3182
Transient Stability Analysis of Grid-connected Wind Turbines with Front-end Speed Control via Information Entropy Energy Function Method Haiying Dong; Shuaibing Li; Shubao Li; Hongwei Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the characteristics like time-consuming and can not be quantitatively analyzed of time domain simulation in power system transient stability analysis, a direct method using information entropy combined with transient energy function method is proposed in this paper to analyze the transient stability of wind power system equiped with front-end speed controlled wind turbines (FSCWT) with synchronous generators. In which, the system kinetic energy and potential energy are used as information source to makeup information entropy function, then, a theoretical analysis of system transient stability is conducted. Based on this, simulations are carried out in IEEE 5-machine 14-bus system compared with the time domain’s, which verified the consistency of information entropy energy function (IEEF) method and time domain analysis. Results show that it is more intuitively and effectively to use IEEF method for wind power system transient analysis equiped with FSCWT.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3379
Cognitive Radio Channel Selection Strategy Based on Experience-Weighted Attraction Learning Sun Yong; Qian Jiansheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, an innovative proposed channel selection algorithm based on Experience-Weighted Attraction (EWA) learning allows Cognitive Radio (CR) to learn radio environment communication channel characteristics online. By accumulating the history channel experience, it can predict, select and change the current optimal communication channel, dynamic ensure the quality of communication links and finally reduce system communication outage probability. Validation and reliability have been strictly verified by Matlab simulations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3900 
Sensitivity of Support Vector Machine Classification to Various Training Features Nanhai Yang; Shuang Li; Jingwen Liu; Fuling Bian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Remote sensing image classification is one of the most important techniques in image interpretation, which can be used for environmental monitoring, evaluation and prediction. Many algorithms have been developed for image classification in the literature. Support vector machine (SVM) is a kind of supervised classification that has been widely used recently. The classification accuracy produced by SVM may show variation depending on the choice of training features. In this paper, SVM was used for land cover classification using Quickbird images. Spectral and textural features were extracted for the classification and the results were analyzed thoroughly. Results showed that the number of features employed in SVM was not the more the better. Different features are suitable for different type of land cover extraction. This study verifies the effectiveness and robustness of SVM in the classification of high spatial resolution remote sensing images. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3969  

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