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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 88 Documents
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Search results for , issue "Vol 12, No 8: August 2014" : 88 Documents clear
Film Thickness of Lithium Battery Fast De-Noising Based on Atomic Sequence Template Library Gong Chen; Xifang Zhu; Qingquan Xu; Ancheng Xu; Hui Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6088-6093

Abstract

The natural frequency and scanning vibration frequency of C-dynamic scanning system of laser sensors are acquired for film thickness of lithium battery de-noising based on multi-resolution wavelet algorithm. For this reason, fast de-noising based on atomic sequence template library is present .First, under various mode of scanning, best atomic sequence template is built by sparse decomposition. Secondly, at the given mode, film thickness data is match to the best atomic sequence to de-nosing. Experimental results show that template-matching pursuit(MP) algorithm is effective and algorithm speed is higher than MP 57 times.
QR-based Channel Estimation for Orthogonal Frequency Division Multiplexing Systems Peilong Jiang; Honggui Deng; Bin Lei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6217-6223

Abstract

Channel estimation is the key technology for Orthogonal Frequency Division Multiplexing (OFDM),  which has direct impact on the performance of OFDM. In this paper, we present a novel QR-based algorithm to update the channel impulse response(CIR) for DFT-based channel estimation. The discrete Fourier transform(DFT) estimation reduces the noise power that exists outside of the CIR part, because the estimated CIR from LS has most of its power concentrated on the first L samples. To reduce the noise power that exists inside of the first L samples, the CIR is further processed by QR decomposition in proposed algorithm. The simulation results show that the bit-error-rate(BER) of our estimator has reduced significantly compared with the conventional DFT-based channel estimator and LS-linear estimation.
Three Decades of Development in DOA Estimation Technology Zeeshan Ahmad; Iftikhar Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6297-6312

Abstract

This paper presents a brief overview of narrowband direction of arrival (DOA) estimation algorithms and techniques. A comprehensive study is carried out in this paper to investigate and evaluate the performance of variety of algorithms for DOA estimation.  Two categories of DOA estimation algorithms are considered for discussion which are Classical methods and Subspace based techniques. Classical methods include Sum-and-Delay method and Capon’s Minimum Variance Distortionless Response (MVDR) while Subspace based techniques are multiple signal classification (MUSIC) and The Minimum Norm Technique. Also ESPIRIT technique is evaluated. Inefficiencies are pointed out and solutions are suggested to overcome these shortfalls. Simulation results shows that the MUSIC algorithm is able to better represent the DOAs of signals with more prominent peaks. The Min-Norm algorithm also identifies the DOAs of signals similar to the MUSIC algorithm, but produces spurious peaks at other locations. The MVDR method identifies the DOAs of signals, but the locations are not represented by sharp peaks, due to spectral leakage. The classical beamformer also produces several spurious peaks. MUSIC show higher accuracy and resolution than the other algorithms. It should be noted that MUSIC is more applicable because it can be used for different array geometries.
The Comparative Study between Twisted and Non-Twisted Distribution Line for Photovoltaic System Subjected to Induced Voltage Generated by Impulse Voltage Nur Hidayu Abdul Rahim; Zikri Abadi Baharudin; Md Nazri Othman; Puteri Nur Suhaila Ab Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5774-5778

Abstract

The recent advancement of renewable energy sources and specifically photovoltaic system has resulted in outdoor installations of large power stations. A photovoltaic system is exposed to extreme ambient conditions due to the lightning strike activity that generated induced overvoltage which have a high tendency to affect the electrical apparatus especially renewable energy plant that directly exposed to this source. This study is performed through experimental work by comparing the effect of induced overvoltage propagation upon between the twisted and non-twisted distribution line for photovoltaic system. The induced voltage is performed by using lightning impulse generator. It is found that the maximum voltage of the unwanted signal is proportional with the distant of the specimen. The closer distant between solar panel material and spark discharge, the more serious effect would occur due to the induced overvoltage.
New Controllable Field Current Induced Excitation Synchronous Generator Bei Wei; Xiuhe Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5905-5909

Abstract

The electrical machine using induced excitation system is a kind of brushless self-excited machine with low cost and high reliability, the induced excited machine would provide high power density at high-speed. But the low efficiency of the excitation system limits the development of this kind machine. Based on traditional excitation system, an improved construction induced excitation system is proposed in this paper. Adaptive control method is used to control the current direction in the stator auxiliary winding to replace constant DC excitation, the input current can change its direction according to the position of the rotor, the result is that all of induced currents at work in excitation system. Position sensors are fixed on the rotor and the stator field winding currents can synchronize with the rotor position according to the signal of the sensors. Experiments with the proposed structure are performed and compared with those of the traditional induced excitation system one. The results show that the new structure can improve the excitation system efficiency and reduce the cost.
Nonuniform Defect Detection of Cell Phone TFT-LCD Display Jahangir Alam S.M.; Hu Guoqing
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6036-6046

Abstract

Uneven and Nonuniformity (Mura) of Thin Film Transistor Liquid Crystal Display (TFT-LCD) is a major problem of cell phone display. The different types of uneven and nonuniformity are decreased the performance of TFT-LCD. To economize and increase its performance, it is necessary to detect these kinds of defects. The cause of these types of noisy defects can be stimulated by the material of TFT, intensity of back light, total internal reflection, mirror form of others materials, internal light, and external light. The energy loss and gain in LCD display is another issue to make these uneven and nonuniformity. The objective of this study is to investigate and detect the defects of cell phone display considering some parameters with image analysis. The back side and the front side of the defects have been observed to find the uniqueness of that defects and its model.
Which Representation to Choose for Image Cluster Haolin Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

To choose best representation for image cluster, we analyzed the distinguish ability of three typical image representations, color histogram, Gabor texture and geometric moment by fitting image distance curve, and show different retrieval results of image retrieval for different image representations. To depict the distinguish ability of different image representations, we present a cluster discriminant index called Simplified Overall Cluster Quality, which constitutes cluster compaction and cluster separation, and the experiment results show that the image representation with best distinguish ability also possesses maximum discriminant index value. This index can be used to determine optimal representation for clustering or the order of feature used to cluster.DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.5458 
Performance Relay Assisted Wireless Communication Using VBLAST M.M. Kamruzzaman
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this paper, performance of relay assisted wireless link is evaluated using VBLAST in the presence of rayleigh fading where source is equipped with two transmit antennas, relay is equipped with multiple transmit and multiple receive  antennas, and destination has multiple receive antennas. The input information are modulated using QPSK or 16 QAM or 64 QAM modulator and modulated information are encoded using VBLAST and then split into streams which are simultaneously transmitted through transmit antennas of source.Relay decodes the rayleigh fading effected signal and re-encodes using VBLAST and forwards for destination. It is observed that relay with 2 transmit antennas and 2/3/4/5/6 receive antennas provides 9-11.5 dB gains compared to direct link. And there are around 3 dB to 11 dB gains for increasing number of receiving antennas at relay and destination from 2 to 3/4/5/ 6. DOI:  http://dx.doi.org/10.11591/telkomnika.v12i8.6031 
Time-Weighted Uncertain Nearest Neighbor Collaborative Filtering Algorithm Zhigao Zheng; Jing Liu; Ping Wang; Shengli Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6393-6402

Abstract

To overcome the limitations of the traditional collaborative filtering recommendation algorithm, this paper proposed a Time-Weighted Uncertain Nearest Neighbor Collaborative Filtering Algorithm (TWUNCF). According to the actual application situation of recommendation system, the author weighted the product similarity and user similarity to ensure the data validity firstly, and then calculate the similarities of user and product and choose the trusted neighbor group as the recommended object adaptively based on the weight. Experimental results show that the algorithm can be used to improve data validity according to the time attribute, and balance the impact the different groups on the recommendation result, and avoid the problems which caused by the data sparseness. Theoretical analysis and experimental demonstrations show that the algorithm this paper proposed outperforms existing algorithms in recommendation quality, and improve the system's accuracy and recommendation efficiency.
A Grey Relation Analysis Method to Vibration Fault Diagnosis of Hydroelectric Generating Set Wang Ruilian; Gao Shengjian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5729-5735

Abstract

Aiming to the complexity of vibration fault cause, the great many of fault parameters in hydroelectric generating set, and the superiority of grey relation analysis for its no strict requirement to fault sample capacity and regularity, the weighted grey relation model is built to look for the vibration fault type. The fuzzy matrix's transformation arithmetic is used to obtain the weight vectors of the grey relation coefficient, thus the weighted coefficient is the weighted grey relation model. The relation coefficient between reference sequence and compare sequence in vibration fault sample is provided by synthetic arithmetic of fuzzy weight to diagnose the vibration fault type. The grey relation coefficient weighted by fuzzy synthetic arithmetic, which is not only made the established weight be a scientific basis, but also can “sensitive” highlight the vibration fault type of hydroelectric generating set. Thus the problem of looking for every fault types is better resolved. By analyzing the practical example, it proved that the weighted grey relation model in the paper can effectively diagnose the vibration fault type of hydroelectric generating set and it has definite applicability.

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