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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 105 Documents
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Search results for , issue "Vol 11, No 12: December 2013" : 105 Documents clear
Optimizing Multi-agent MicroGrid Resource Scheduling by Co-Evolutionary with Preference Hongbin Sun; Tian Chunguang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents a multi-agent framework for the control of distributed energy resources organized in Microgrids，which consists of integrated microgrids and lumped loads. Multiple objectives are considered for load balancing among the feeders, minimization of the operating cost, minimizing the emission, minimizing voltage profiles, minimizing active power losses. The agent represents message of microGrid unit and constitutes an autonomic unit. The network is achieved by the evolution of the agent based on the semantic negotiation. Based on the objectives evaluated by membership functions respectively, We propose a new Immune Co-Evolutionary Algorithm with Preference to solve it. Simulation results demonstrated that the proposed method is effective in improving performance and management of micro-sources. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3655
A New Method for Intrusion Detection using Manifold Learning Algorithm Guoping Hou; Xuan Ma; Yuelei Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Computer and network security has received and will still receive much attention. Any unexpected intrusion will damage the network. It is therefore imperative to detect the network intrusion to ensure the normal operation of the internet. There are many studies in the intrusion detection and intrusion patter recognition. The artificial neural network (ANN) has proven to be powerful for the intrusion detection. However, very little work has discussed the optimization of the input intrusion features for the ANN. Generally, the intrusion features contain a certain number of useless features, which is useless for the intrusion detection. Large dimensions of the feature data will also affect the intrusion detection performance of the ANN. In order to improve the ANN performance, a new approach for network intrusion detection based on nonlinear feature dimension reduction and ANN is proposed in this work. The manifold learning algorithm was used to reduce the intrusion feature vector. Then an ANN classifier was employed to identify the intrusion. The efficiency of the proposed method was evaluated with the real intrusion data. The test result shows that the proposed approach has good intrusion detection performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3638
Maximum Power Point Tracking Control of Direct Methanol Fuel Cell Zhang Mingbo; Yan Ting; Gu Jinguang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The performance of direct methanol fuel cell (DMFC) is closely related to its operating conditions, and there exists a specific combination of operating conditions at which the DMFC output maximum power to the driven load. Working at maximum power point (MPP) can lower the methanol crossover and ancillary power consumption so as to improve the global efficiency of the system. The fuzzy controller proposed in this paper provides a simple and robust way to keep the DMFC working at MPP by adjusting the operating conditions followed by the variation of driven load in real time. Simulation shows that the fuzzy control approach can yield satisfactory results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3657
Multiple-symbol Differential Sphere Decoding for Network Coding Xinqiang Han; Xiaoping Jin; Zhengquan Li; Ruixin Zhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to shorten 3dB performance gap between the conventional differential detection and correlation detection in network coding, we consider multiple-symbol differential detection (MSDD) for two-way relay channel (TWRC) model. MSDD, which makes use of continuously N symbols to jointly detect N-1 symbols. However, the complexity of the maximum likelihood differential detection increases exponentially with the detection group length and the modulation constellation points. In this paper, we propose multiple-symbol differential sphere decoding (MSDSD) to circumvent this excessive computational complexity. Simulation results show that the combination of MSDSD and differential network coding can not only reduce the computational complexity, but also overcome error platform caused by High-Doppler frequency offset at high signal-to-noise ratio, and obtain the optimum detection performance simultaneously. Hence, MSDSD can be regarded as a low complexity detection algorithm in differential network coding scheme. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3677
State-Of-Charge Estimation of Li-Ion Battery Using Extended Kalman Filter Feng Jin; He Yong-ling
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The Li-ion battery is studied base on its equivalent circuit PNGV model. The model parameters are identified by HPPC test. The discrete state space equation is established according to the model. The basic theory of extended Kalman filter algorithm is studied and then the filtering algorithm is set up under the noisy environments. Finally, a kind of electric car is used for testing under the UDDS driving condition. The difference between the simulation value using extended Kalman filter under the noisy environment and the theoretical value is compared. The result indicated that the extended Kalman filter keeps an excellent precision in state of charge estimation of Li-ion battery and performs well when disturbance happens. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3894
Sliding Mode Control of the Battery Bank for the Fuel Cell-based Distributed Generation System Junsheng Jiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The dynamic models for the fuel cell power and the configuration of the fuel cell distributed generation system are shown in this paper. Due to nonlinear characteristics of fuel cell model, the output voltage of fuel cell varies greatly when the load changes. A novel interface is designed to provide a constant output voltage for charging of the battery bank of the fuel cell distributed generation. The thesis presents a sliding mode control design of PEMFC distributed generation system. A cascaded control structure is chosen for ease of control realization and to exploit the motion separation property of power converters. The simulation results confirm the output current and voltage of the PEM fuel cell array converge rapidly to their reference values. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3594
The deformation prediction of mine slope surface using PSO-SVM model Sunwen Du; Jin Zhang; Jingtao Li; Qiaomei Su; Wenbo Zhu; Yuejuan Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the main factors with important influence on thedeformation of the mine slope, a new methodintegrating support vector machine (SVM) and particleswarm optimization (PSO) was proposed to predict thedeformation of mine slope surface. Themeteorological factors and the deformation data of the research area are acquired using the advanced deformation monitoring equipment GroundBased-Synthetic Aperture Radar (GB-SAR).Then the SVM is used to predict the mine slope deformation. The PSO is employed to optimize the structure parameters of the SVM. The proposed newmethod was applied to predict the mine slope surface deformation of theAnjialing diggings in China. The obtained experiments results indicated thatthe proposed method can provide precise prediction of the mining slope surfacedeformation and its performance is superior to its rivals. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3732
Clustering-boundary-detection algorithm based on center-of-gravity of neighborhood Wang Gui Zhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The cluster boundary is a useful model, in order to identify the boundary effectively, according to the uneven distribution of data points int the epsilon neighborhood of boundary objects, this paper proposes a boundary detection algorithm S-BOUND. Firstly, all the points in the epsilon neighborhood of the data objects are projected onto the boundary of the convex hull of the neighborhood, and then calculate the center of gravity of the neighborhood. Finally, detect the boundary object according to the degree of deviation of the center of gravity of the neighborhood with the object. The experimental results show that the S-BOUND algorithm can accurately detect a variety of clustering boundary and remove the noises, the time of performance is also better. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3620
Joint Interference mitigation with channel estimated in Underwater Acoustic OFDM system Huang Mei; Sun Haixin; Cheng En; Kuai Xiaoyan; Xu Xiaoka
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Multicarrier modulation in the form of orthogonal frequency-division-multiplexing (OFDM) has been actively pursued in underwater acoustic communications. However, carrier frequency offset (CFO) can cause significant performance degradation in OFDM systems. Although underwater acoustic communication was recently the focus of research, literatures about joint interference mitigation with channel estimation using compressed sensing (CS) has been very limited in underwater acoustic OFDM. In the Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) system, a novel method was proposed which combined interference mitigation with channel estimation based on compressed sensing (CS).The novel joint optimization model combined CFO estimation with CS-based channel estimation based on the sparse in the delay-Doppler domain by using the null sub-carriers. Simulations and tank experiments have verified the performance of the receiver based on the joint interference mitigation and CS channel estimation. This method enables the OFDM system is effective against the CFO, and has better robustness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2883
Ultrasonic Flaw Signal Classification using Wavelet Transform and Support Vector Machine Yu Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents a ultrasonic flaw signal classification system by using wavelet transform and support vector machine (SVM). A digital flaw detector is first used to acquire the signals of defective carbon fiber reinforced polymer (CFRP) specimen with void, delamination and debonding. After that, the time domain based ultrasonic signals can be processed by discrete wavelet transform (DWT), and informative features are extracted from DWT coefficients representation of signals. Finally, feature vectors selected by PCA method are taken as input to train the SVM classifier. Furthermore, the selection of SVM parameters and kernel function has been examined in details. Experimental results validate that the model coupled with wavelet transform and SVM is a promising tool to deal with classification for ultrasonic flaw signals. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3673

Page 10 of 11 | Total Record : 105

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