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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 : -
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Articles 40 Documents
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Search results for , issue "Vol 10, No 5: September 2012" : 40 Documents clear
Self-adaptive Decomposition Level De-noising Method Based on Wavelet Transform Jianzhao Huang; Jian Xie; Hongcai Li; Gui Tian; Xiaobo Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the threshold de-noising method based on wavelet transform, not only the threshold and threshold function, but also the decomposition level is an important factor in practical application. Signals under different noise levels correspond with different optimal decomposition levels. A method to determine the optimal decomposition level based on the white noise verification of wavelet detail coefficients is proposed. The effectiveness of this method is validated by the pressure signal de-noising experiment. Aiming to the need of sample points in hypothesis test, the performance of five hypothesis test methods are simulated and analyzed, and the application rules are summarized.DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1366
Node-based Sampling P2P Bot Detection Chunyong Yin; Ruxia Sun; Lei Yang; Darius Iko
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

The concept of using node-based sampling for the treatment of packet capture mechanism based on Libpcap of network-based detecting Peer-to-Peer botnet process was tested, and its effect on the time window of feature extracting and sampling time interval was explored. Node-based sampling treatment resulted in significant increase in the detection performance due to node profile of the novel behaviors to the detected computer in Peer-to-Peer bot detection, and the degradation of false positive. At relatively right time window (e.g., about 180s), precision was completely maximized, while the false positive decreased by 10% to 15%. The detection rate can be significantly increased due to the false positive degradation. A new performance index called Comprehensive Evaluation Index is proposed for more clearly represent the effectiveness. Sampling can reduce morn than 60% input raw packet traces and achieve a high detection rate (about 99%) and a low false positive rates (0-2%). DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1272
Study of Fault Diagnosis Method for Wind Turbine with Decision Classification Algorithms and Expert System Feng Yongxin
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Study on the fault diagnosis method through the combination of decision classification algorithms and expert system. The method of extracting diagnosis rules with the CTree software was given, and a fault diagnosis system based on CLIPS was developed. In order to verify the feasibility of the method, at first the sample data was got through the simulations under fault of direct-drive wind turbine and gearbox, then the diagnosis rules was extracted with the CTree software, at last the fault diagnosis system proposed and the rules was used to extracted to diagnose the fault simulated. Test results showed that the misdiagnosis rate both within 5%, thus the feasibility of the method was verified. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1281  
Parallel Implementation of Classification Algorithms Based on Cloud Computing Environment Lijuan Zhou; Hui Wang; Wenbo Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

As an important task of data mining, Classification has been received considerable attention in many applications, such as information retrieval, web searching, etc. The enlarging volumes of information emerging by the progress of technology and the growing individual needs of data mining, makes classifying of very large scale of data a challenging task. In order to deal with the problem, many researchers try to design efficient parallel classification algorithms. This paper introduces the classification algorithms and cloud computing briefly, based on it analyses the bad points of the present parallel classification algorithms, then addresses a new model of parallel classifying algorithms. And it mainly introduces a parallel Naïve Bayes classification algorithm based on MapReduce, which is a simple yet powerful parallel programming technique. The experimental results demonstrate that the proposed algorithm improves the original algorithm performance, and it can process large datasets efficiently on commodity hardware. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1353
Diagrammatized method of permanent magnet working-point in Polarized System Liu Lingshun; Shi Xianjun; Wangfang Wangfang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Polarized magnetic system  has widely been used in  aeronautical , astronautical , military and civilian domain.  Diagrammatized analysis method has advantages of clear physics concept, direct and compendious. The diagrammatized analysis method for work points of the permanent magnet and air magnetic flux for the typical polarized systems are proposed in this paper, which include type differential and bridge magnetic system. The unite calculating expressions are sum up based on the equivalent magnetic voltage model circuit. The diagrammatized analysis method is benefit for understanding the working principle of polarity magnetic system. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1287 
Safety Analysis and Design for the Switch Control Unit of All-electronic Computer Interlocking System Tao He
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

The switch control unit module is a critical core control module of the all-electronic computer interlocking system. Switch in the wrong place as the top event, use the Relex software for quantitative analysis of the importance of analysis method and found a key part of the module designs. The weak link in the system design through the use of the ‘2-Vote-2’ modular architecture analysis showed that the system has reached the security requirements of the railway signaling system. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1358 
Communication scheduling in parallel task executions on large parallel systems Hai Xiang Lin
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Scheduling is an important issue in parallel processing. Most scheduling algorithms makes assigns tasks in a direct acyclic graph (DAG) to processors. Usually only the allocation and ordering of tasks are considered, and sometimes communication time is included in the determination of priorities of the tasks, however, communication messages are not explicitly scheduled. Moreover, communication contention plays an increasing important role because of the increased system size of parallel computers. We study the effect of communication scheduling on large interconnection network and try to avoid communication contention. We present a communication scheduling scheme which can be easily included in exiting list-based scheduling algorithms. Experiments show that parallel execution time is reduced as compared to traditional scheduling without explicit communication scheduling. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1350
Investigations on properties of (ZnO:Al) films prepared by RF/DC co-sputtering Meng Chao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aluminum doped zinc oxide (ZnO:Al) thin films with high conductivity, resistance to ion irradiation, high transparency in the visible range and moderate costs will be one of the most promising candidates for the present predominant transparent conducting materials. However, there are still some problems such as long preparation cycle and high surface resistance. In this paper, adding a certain amount of radio frequency (RF) power to the applied DC power, this technique known as RF-DC co-sputtering ionization is mainly driven by oscillating electrons in the bulk plasma, there is an enhanced substrate bombardment by plasma ions (mainly Ar+) of moderate energy to improve the optical and electrical properties of the film. The samples of crystal structure, surface morphology, electrical conductivity were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), four-probe meter, as well as visible spectrophotometer. The results show that the average transmittance in the visible was 89% and the resistivity was reduced by 80% compared to other single technique.  When the radio frequency power makes up around 50% of the total, the resistivity reach a minimum of 1.5×10-3Ω•cm, improve the homogeneity of the film Effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1273 
Computation of the Normalized Prediction Error of the Electroencephalogram Signal Chaofeng Cai; Yong Zhang; Jingying Ren; Liying Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the normalized prediction error of the electroencephalogram (EEG) signal recorded at five different mental tasks was computed. The results indicate that there exists predictability in the EEG signal beyond the baseline prediction of the mean and the one-step-ahead normalized prediction error of EEG signal vary greatly when different mental tasks are implemented, which implies that the one-step-ahead normalized prediction error can be employed as a feature of EEG signal to distinct different mental tasks. For different subjects, the one-step-ahead normalized prediction error vary greatly even the EEG signal are recorded from the same electrode under the same mental task, which implies that the subjects’ individual differences should be considered adequately when the one-step-ahead normalized prediction error is employed to distinct different mental tasks. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1268 
Reliability Optimum Design of Spring in the Tools Storage SUN Kui zhou; FENG Hu tian; ZHOU Jin yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the spring’s failures in the tools storage and mechnical tools locking, the thesis will discuss the reliability optimization design for spring. With the known probability characteristics of basic random parameters, the random perturbation method, the reliability theory and optimal design technology are used to give the spring reliability design problems in locking knife spring in the tools storage and mechanical tools of machining center, to put forward the practical and effective reliability-based optimization design method, which can shorten the design cycle, save the testing cost, improve the design level and the reliability of parts. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1276

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