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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 103 Documents
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Search results for , issue "Vol 12, No 5: May 2014" : 103 Documents clear
Based on Weighted Gauss-Newton Neural Network Algorithm for Uneven Forestry Information Text Classification Yu Chen; Liwei Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to deal with the problem of low categorization accuracy of minority class of the uneven forestry information text classification algorithm, this paper puts forward the uneven forestry information text classification algorithm based on weighted Gauss-Newton neural network, on the basis of weighted Gauss-Newton algorithm, the algorithm is proved via singular value decomposition principle. The experimental result shows that the algorithm has higher classification accuracy of majority class and minority class than algorithm of common classification. The algorithm expands a new method for the research on the uneven forestry information text classification algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4388
Development and Application of University Information Service Chun Yu; YanXia Li; Fang Yuan; Qian Zhang; Xi Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The current situation and existing problems in university informationisation was given briefly, with object of university information service development. It proposed the method to develop information service, including both model design and technology realization on basis of main database. A system, which covers the core data resource of the university and implements one-stop information service has been designed and realized. Integrated with R-ABAC, Portal and dynamic reports, it provided comprehensive inquiry and statistical analysis service of all kinds of information for all the teachers, students and all levels of managerial staff, which applied in individual management, business management and decision making, which serves talents training, the basic task of universities. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4948
Experimental Verification of Circulating Current Mitigation Scheme in MMC by Using ISE Technique Sreedhar Madichetty; Abhijit Dasgupta
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The circulating currents of a modular multilevel converter (MMC) is ideally assumed to be the sum of an ac component and dc ac component operating with fundamental frequency. However, as ac current flows through the submodule (SM) capacitors, the capacitor voltages fluctuate with time. Consequently, the circulating current is usually distorted and allows multiple frequency components with the peak value of it is increased compared with the theoretical value. The circulating currents will increase power losses and may threaten the safe operation of the switching devices and module capacitors. This article proposes a MMC with a new controller design to mitigate circulating currents for various modulation indexes for wide ranges in load. This new controller is optimized with upper and lower module voltages as an objective function. The optimum values for controller are obtained by using conventional integral square error technique (ISE). The proposed scheme shows its effectiveness by controlling the circulating currents for various loads. It made strategic conclusions on MMC to make the system more robust in operation and less complexity in design and control. The proposed system is verified by 10 KVA prototypes MMC and results are explored. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5364
Fault Diagnosis Based on Wavelet Genetic Neural Network for Motor Keyong Shao; Lijuan Han; Yang Liu; Xinmin Wang; Fengwu Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the motor fault diagnosis technology, vibration signals can fully reflect the motor operation conditions. In this paper, a linear motor fault diagnosis method based on wavelet packet and neural network was presented. The improved neural network system was designed with variable hidden layer neurons. The network chose different numerical values depending on different situations to reach the requirements that improving diagnostic accuracy and shortening the diagnosis time. The linear motor’s normal and two common faults vibration signals were analyzed and the vibration signals energy characteristics were extracted through wavelet packet, then identified fault through neural network. The experimental results show that this method can effectively improve the motor fault diagnosis accuracy. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4915
Modelling of a Witricity System Using GSSA Method Lan Jian Yu; Tang Houjun; Geng Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the rapid development of mobile appliances, wireless power transfer technique has been a hot issue for researchers. A resonant coupled power system called witricity with high efficiency and the middle range transfer distance is presented by MIT. The main circuit of the witricity system acts as a resonant converter operating in high frequency. The converter is a complex time variant and non-linear systems. So, it is difficult to obtain its accurate mathematical models. In this paper, the generalized state-space averaging method is applied to model this converter. With appropriate values for the circuit parameters, numerical results are compared with which in time domain model. The results show that theoretical analysis are well agree with the simulation, and by proposed method the computational time is remarkably reduced. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4525
One-pass Moment Algorithm for Graphical Primitives Zhiyong Ju; Chunmei Su
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Moment is a useful tool in character and drawing recognition. As the moment computation is time-consuming, the main aim in this area is to develop a fast algorithm. The commonly-used method is the discrete Green’s theorem, which transforms the double summation into a summation on region contour. An improved discrete Green’s theorem proposed in this paper, which removes the constraint on parity pairing, thus extends its validity in applying the algorithm to complex regions. The contour tracing is fulfilled by a boundary-tracing-automation, and the central moments for graphical primitives are computed by one-pass scanning algorithm, the calculation of the moment is greatly simplified DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5099
Image Deformation Based on Wavelet Filter and Control Curves Hong-an Li; Jie Zhang; Baosheng Kang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

We provide an image deformation method based on wavelet filter using control curves and moving least squares. The image is preprocessed firstly instead of being directly deformed by the old ways. And the original image will be filtered into a high frequency part and a low frequency part by the wavelet, and then use the moving least squares and the control curves only to deform the low frequency part, but not the high frequency part. The key points are set to create control curves according to shape information or deformation requirement, and moved to new position to deform the image using moving least squares. The final result of image deformation is obtained by adding the deformed low frequency part to the high frequency part of the original image. Experiments show that the high frequency detail information is well preserved and the image shape and contour are also well described, and so the deformation results are satisfactory and realistic. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4390
A Resizing Method for 3D Visualization of Digital Elevation Models Wei Yang; Kun Hou; Xintong Yu; Fanhua Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The diversity and versatility of display devices today imposes new demands on digital elevation models (DEMs). This paper proposes a resizing method for 3D visualization of DEMs based on topographic feature. The proposed method improves seaming carving algorithm to resize DEMs instead of images according to the characterristics of DEMs. The proposed resizing method considers not only geometric constraints but also the characteristics of DEMs. Being different from the traditional reduction and expansion methods, the method not only resizes DEMs, but also preserves the characteristics of Digital Elevation Model. The method is implemented and experiments are carried out on actual DEM data. It can be seen from the comparison with scaling method that the proposed method is efficient and provides better 3D visualization of DEMs. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4044 
Adaptive Two-Stage Sensing in Cognitive and Dynamic Spectrum Access Networks Yang Yu; Yanli Ji; Weidong Wang; Yinghai Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, we first investigate and contrast the features of energy detection and cyclostationary feature detection for spectrum sensing. Combining the advantages of both, we propose an adaptive two-stage sensing scheme which first performs spectrum sensing using an energy detector in cognitive and dynamic spectrum access networks. Then this scheme decides whether or not to implement cyclostationary feature detection based on the sensing results of the first stage. On the premise of meeting a given constraint on the probability of false alarm, our proposed scheme aim to optimize the probability of detection. In order to obtain the optimal detection thresholds, the detection model is formulated as a nonlinear optimization problem. Furthermore, the performance of our scheme in sensing speed is also analyzed. The simulation results show that the proposed scheme improves the performance of spectrum sensing compared with the ones where only energy detection or cyclostationary feature detection is performed.DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4944 
Adaptive Control for Brushless DC Motor Based on Fuzzy Inference Lei Jin-li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Due to the nonlinearity of brushless direct current (BLDC) motor, it is difficult to obtain satisfied control characteristics using proportional integral derivative (PID) controller. A novel adaptive fuzzy control method based on high performance speed control is proposed in this paper, which combines an adaptive parameter adjustment mechanism with fuzzy controller to solve the problems of non-linearity, parameter variations and load excursions that occur in the BLDC motor drive system. The adaptive parameter adjustment mechanism can give better quantization and proportion factors of the fuzzy controller when there are variations in motor parameters or load, hence the fuzzy control rules are changed. The adaptive fuzzy control system is simulated in matlab with the changes of motor parameters and load, the control performance of the traditional PID controller is compared with the adaptive fuzzy controller. The comparison results indicate that the adaptive fuzzy control system has stronger robust and self-adaptive ability, faster response time, and zero overshoot and steady state error, which can satisfy the request of the BLDC motor control system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4950

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