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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 85 Documents
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Search results for , issue "Vol 11, No 7: July 2013" : 85 Documents clear
Droplets Fusion in a Microchannel on a Piezoelectric Substrate Fu Xiang-ting; Zha Yan; Zhang An-liang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Fusion droplets is a key operation in a microfluidic device for microfluidic analysis. A new fusion method for droplets was presented. An interditigal transducer and a reflector were fabricated on 1280-yx LiNbO3 piezoelectric substrate using microelectric technology. A poly-dimethyl silicone micro-channel was made by soft lithography technology and mounted on the piezoelectric substrate. Droplets in the microchannel were actuated by surface acoustic wave and fussed each other. Coloured dye solution droplets were used to fusion experiments. Results show that the two droplets in the microchannel can be fused by help of surface acoustic wave, and size of droplets, distance of droplets and RF signal power can affect successful fusion of the droplets. The fusion method is valuable for microlfuidic biological and chemical analysis in a microfluidic device. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2826
Primary User Emulation Attacks Analysis for Cognitive Radio Networks Communication Wang Shan-Shan; Luo Xing-Guo; Li Bai-Nan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Cognitive Radio Network is an effective technology and a hot research direction which can solve the problem of deficient resource and revolutionize utilization. And its safety technology attracts more and more researches. Primary user emulation attacks (PUEAs) are typically easy and largely affecting. PUEAs come from both malicious misbehavior secondary users (MMUs) and selfish misbehavior secondary users (SMUs). The former is studied much more deeply than the later one. Distinguishing MMU and SMU, we propose a Four Dimensional Continuous Time Markov Chain model to analyze the communication performance of normal secondary users under PUEAs, and typically affected by SMUs. Furthermore, we compare several PUEA detection schemes. The emulation results indicate that the SMU detection mechanism is essential for the PUEA detection schemes, which can improve the detection effects largely. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2840
Decision Model of the Best Investment Opportunity in Coal Mine Project Based On Real Option Zhu Yongfei; Li Congdong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The traditional decision-making methods of investment decision about coal mine projects have many deficiencies. Decision model of coal mine project option is proposed in paper . Firstly, analysis the characteristics which include uncertainty and irreversibility of physical option and build a suitable model after researching the significance ,then decide the best time though the coal mine project. Finally, case analysis presents the application of this method and provides strong theoretical basis for decision in coal mine project. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2857 
Air-gap Eccentricity Fault Diagnosis of Induction Motors Using EMD ZHANG Lin; SUN An-quan; YANG Xin-yu; WANG Tian-yi; ZHANG Xue-li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The accuracy of fault diagnostic systems for induction motors relies on a comparison of the currently extracted sensory features with those captured during normal operation. To detect the timing of these impacts from vibration signals accurately, this paper presented an efficiency diagnosis method based on empirical mode decomposition (EMD), aimed to diagnose the air-gap eccentricity fault of induction motors. Analyses the Hilbert modulus spectrum of stator current in induction motors by EMD, to obtain the fault characteristics frequency  accurately, and distinguish the fault characteristics component from the fundamental wave in stator current. The simulation result demonstrated the high sensitivity and clarity of this proposed method, efficiently distinguish the fault frequency from the basic frequency in the stator current. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2936
Modeling and Performance of Microwave and Millimeter-Wave Layered Waveguide Filters Ardavan Rahimian
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents the novel designs, analysis, and performance of 4-pole and 8-pole microwave and millimeter-wave (MMW) waveguide filters for operation at X and Y frequency bands. The waveguide filters have been designed and analyzed based on the mode matching and coupled resonators design techniques employing layered technology. Thorough waveguide filters working at X-band and Y-band have been designed, analyzed, fabricated, and tested along with the analysis of the output characteristics. Accurate designs of RF waveguides along with their filters based on the E-plane filter concept have been carried out with the ability of fitting into layered technology in high frequency production techniques. The filters demonstrate the appropriateness in order to develop high-performance well-established designs for systems that are intended for the multi-layer microwave, millimeter- and sub-millimeter-waves devices and systems; with the potential employment in radar, satellite, and radio astronomy applications.DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2411
A Gravitational Edge Detection for Multispectral Images Genyun Sun; Zhenjie Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Gravitational edge detection is one of the new edge detection algorithms that is based on the law of gravity. This algorithm assumes that each image pixel is a celestial body with a mass represented by its grayscale intensity and their interactions are based on the Newtonian laws of gravity. In this article, a multispectral version of the algorithm is introduced. The method uses gravitational techniques in combination with metric tensor to detect edges of multispectral images including color images. To evaluate the performances of the proposed algorithm, several experiments are performed. The experimental results confirm the efficiency of the multispectral gravitational edge detection. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2808 
Study on Reactance Relays for Single Phase to Earth Fault on EHV Transmission Lines Yongqing Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Two questions about zero-sequence-reactance relay to overcome the disadvantages of high fault resistance for single phase to earth fault of high voltage transmission lines are discussed in this paper. The first question is about the phase difference between the measured zero-sequence current and voltage at fault position for un-balanced transmission lines. The second question is about the “in-phase” problem in reactance relays (or fault component reactance relays). This paper analyzes the two questions theoretically and the reactance relay is improved by a new discriminative principle. The capability against the fault resistance is largely enhanced by the improved schemes. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2835 
A Novel Prediction Algorithm of DR Position Error Based on Bayesian Regularization Back-propagation Neural Network Li Honglian; Fang Hong; Tang Ju; Zhang Jun; Zhang Jing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

It is difficult to accurately reckon vehicle position for vehicle navigation system (VNS) during GPS outages, a novel prediction algorithm of dead reckon (DR) position error is put forward, which based on Bayesian regularization back-propagation (BRBP) neural network. DR, GPS position data are first de-noised and compared at different stationary wavelet transformation (SWT) decomposition level, and DR position error data are acquired after the SWT coefficients differences are reconstructed. A neural network to mimic position error property is trained with back-propagation algorithm, and the algorithm is improved for improving its generalization by Bayesian regularization theory. During GPS outages, the established prediction algorithm predictes DR position errors, and provides precise position for VNS through DR position error data updating DR position data. The simulation results show the positioning precision of the BRBP algorithm is best among the presented prediction algorithms such as simple DR and adaptive linear network, and a precise mathematical model of navigation sensors isn’t established. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2852
An improved Channel Estimation Algorithm for Ultra- Wideband Wireless Communication Systems Liu Jinhu; Mei Feihu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

  Traditional DFT channel estimation algorithm is relatively balanced in terms of complexity and estimation performance, but compared with the four typical channels of UWB, especially in terms of CM1 and CM2 channel with a small number of the diameter, the cyclic prefix length is relatively much larger than the length of their delay, so the back part is still noise. Aimed at this problem, an improved DFT channel estimation algorithm is brought up in this paper, and this algorithm adds the appropriate threshold threshold in the CP to further eliminate noise, and simulation results show that the improved algorithm is better than the original algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2871
Assessment of wind power potential at Hawksbay, Karachi Sindh, Pakistan Shahnawaz Farhan Khahro; Amir Mahmood Soomro; Kavita Tabbassum; Lei Dong; Xiaozhong Liao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Abstract Pakistan is facing serious energy crisis at present. The government is aiming to utilize the immense potential of renewable energy sources like: Solar, Wind, etc, in addition to intensify the conventional sources of energy to over the acute shortage of energy. Wind energy is the fastest-developing energy source worldwide. The aim of this paper is to explore and estimate the wind power potential of Hawksbay Karachi, one of the locations in southern part of Pakistan. Wind speed data (in meters per second) from April 2009 to April 2011 at four different heights is measured. Wind power densities, frequency distribution, and Weibull distribution of wind speed are calculated in this study. This study also presents the analysis and comparison of 5 numerical methods to determine the Weibull scale and shape parameters for the available wind data. The estimated wind power to be generated through commercial wind turbine is also included. The yearly mean wind speed at Hawksbay, Karachi is 5.9m/s and has power density of 197W/m2 at 80m height with high power density during April to August. The estimated cost per kWh is US$0.0345. Therefore the site may be considered suitable for wind turbine applications. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2621

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