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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 93 Documents
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Search results for , issue "Vol 11, No 10: October 2013" : 93 Documents clear
Fuzzy Neural Networks Learning by Variable-Dimensional Quantum-behaved Particle Swarm Optimization Algorithm Jing Zhao; Ming Li; Zhihong Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The evolutionary learning of fuzzy neural networks (FNN) consists of structure learning to determine the proper number of fuzzy rules and parameters learning to adjust the network parameters. Many optimization algorithms can be applied to evolve FNN. However the search space of most algorithms has fixed dimension, which can not suit to dynamic structure learning of FNN. We propose a novel technique, which is named the variable-dimensional quantum-behaved particle swarm optimization algorithm (VDQPSO), to address the problem. In the proposed algorithm, the optimum dimension, which is unknown at the beginning, is updated together with the position of swarm. The optimum dimension converged at the end of the optimization process corresponds to a unique FNN structure where the optimum parameters can be achieved. The results of the prediction of chaotic time series experiment show that the proposed technique is effective. It can evolve to optimum or near-optimum FNN structure and optimum parameters. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2960
A Novel Method to Optimize the Structure of BP Neural Networks Changming Qiao; Shuli Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

It has been a long time that there is not a so good method to determine the number of neurons in hidden layer for BP neural network. For this problem, a novel algorithm based on Akaike Information Criterion (AIC) to optimize the structure of the BP neuron networks is proposed in this paper. At the same time, this paper gives the upper and lower bounds for classical AIC to overcome its shortcomings. The simulation experiment shows that this method can select a more suitable network structure, and can ensure the minimal output error with the optimal structure of the network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3344
Evaluation Studies on Client Satisfaction Degree of Railway Statistic Information System Huawen Wu; Xingjun Shi; Chenyang Duan; Fuzhang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To increase the accuracy and the efficacy of client satisfaction degree of railway statistic information system, we give an AHP-based comprehensive assessment about satisfaction degree of information system, hoping to solve problems about evaluation difficulties of multi-index, multi-criteria and multi-level. Since the conventional AHP-based method is affected by subjective factors, we develop an enhanced AHP method to decrease limitations of conventional methods. Our method, still based on expert scoring, perform cluster analysis of scoring data, apply the clustering method of Euclid Distance with Weight to eliminate scores with the largest divergence, and utilize the AHP method and Function of Weight Average to obtain weight of evaluation index, which is useful to improve the accuracy and efficacy and can enhance effects of the more pivotal evaluation index on results. Finally, we prove its rationality and reliability in an evaluation of client satisfaction degree of railway statistic information system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3409
The Future Network Research Based on Reconfiguration and Expansible You Dai; Bin Zhuge; Huanhuan Song; Weiming Wang; Julong Lan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the development of network, the internet has more and more problems. Ubiquitous information services, diversified and comprehensive network business, different business may have different QoS requirements, and the safety credible information interaction, etc., these problems raise huge challenges to the supporting capacity of current network architecture system. Therefore, we should study out new future network architecture to meet the requirements of users. In this paper, we present a new network architecture based on reconfigurable and expansible, the core idea is to provide logic bearing networks with different QoS guarantees for different service. The architecture uses virtualization technology to abstract and divide the network resources, divide the network function module into business layer, ATS layer and ATC layer three functional surfaces from the point of view of whole network reconfiguration. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3425
Moving Vehicle Recognition and Feature Extraction From Tunnel Monitoring Videos Aiyan Lu; Luo Zhong; Lin Li; Qingbo Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

 In recent decades, many government agencies and famous universities are researching the intelligent traffic video monitoring system. According to the tunnel monitoring video, this paper uses the combination of background subtraction method and three frame differencing method for moving vehicle detection , and designs the geometric parameters and combined parameters for vehicle classification, finally makes up a vehicle classifier, based on these characteristics parameters. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3465 
The Design and Verification of Disaster Recovery Strategies in Cloud Disaster Recovery Center Gang Li; Qingpu Zhang; Wang Li; Zhengqian Feng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Disaster recovery is an important means to ensure business continuity. However, the disaster recovery investment is so huge that the cloud disaster recovery becomes a best choice for enterprises, especially for SMEs. This paper discusses the necessity and importance of the cloud disaster recovery center and the vital indicators of disaster recovery by analyzing the classification and selecting principle of cloud disaster recovery strategy, developing disaster recovery strategy based on major disaster recovery strategy finally. In the end, this paper verifies the feasibility of the disaster recovery strategy by two specific cases of disaster recovery implementation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2945
Gross Error Denoising Method for Slope Monitoring Data at Hydropower Station Wei Hu; Xingguo Yang; Jiawen Zhou; Huige Xing; Jian Xiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

There are mainly two types of errors existed in monitoring displacement of a rock slope: gross errors and random errors. Monitoring data is very important for the safety construction and operation of the Hydropower Station. The use of slope monitoring data for safety evaluation is influenced by the gross errors during the monitoring process. This paper presents a gross error denosing method for a nonlinear time series based on the three-standard-deviation rule (3-σ rule), and then reconstructing the time series by a first-order Lagrange interpolation method. The present method is applied to the gross error analysis of the slope displacement monitoring data collected at the Jinping I Hydropower Station. Computed results show that the first-order difference values of the gross errors can be above or below the upper or lower three-standard-deviation boundary, and the gross errors can be removed effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3337
On Electricity Spot Price Properties by t-innovation GARCH Model Wang Jin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The modeling of heteroskedasticities and kurtosises of electricity prices is crucial to forecast the future distribution of electricity prices, to understand the behavior of derivatives pricing and to quantify the risk in electricity markets. A GARCH model with t-innovations, which is solved by maximum likelihood estimation, is proposed. The model can explicitly address the relationship with system loads, seasonalities, heteroskedasticities, and kurtosises of electricity prices. The empirical analysis based on the historical data of the PJM electricity market shows that the system load squares have a significant effect on the average daily electricity prices, there exist volatility clustering and weekly, semi-monthly, monthly, bimonthly, quarterly and semi-annual periods, and the variances and kurtosises of electricity prices manifest clearly time-varying characteristics. The model holds parsimonious scale of estimated parameters, less computational costs, easy to select the orders and high practical application value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3393
A Load Balance Routing Algorithm Based on Uneven Clustering Liang Yuan; Chuan Cai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aiming at the problem of uneven load in clustering Wireless Sensor Network (WSN), a kind of load balance routing algorithm based on uneven clustering is proposed to do uneven clustering and calculate optimal number of clustering. This algorithm prevents the number of common node under some certain cluster head from being too large which leads load to be overweight to death through even node clustering. It constructs evaluation function which can better reflect residual energy distribution of nodes and at the same time constructs routing evaluation function between cluster heads which uses MATLAB to do simulation on the performance of this algorithm. Simulation result shows that the routing established by this algorithm effectively improves network’s energy balance and lengthens the life cycle of network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3403 
An Improved Algorithm under Error Correlation in Distributed Data Fusion Jie Jia; Jiao Cao; Yong Yang; Shuying Huang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In distributed data fusion, the correlation between every local estimate makes an impact on the result of fusion. This paper introduces a scalar of correlation coefficient to present the correlation between local estimates, and estimate a covariance matrix in the limit of correlation. The improved algorithm put forward to use the form of Bar shalom-Campo algorithm and partly estimate the limit of correlation in order to guarantee the consistency of fusion results and effectively utilize the information of correlation. By the comparison of the simulation experiments, the fusion accuracy of the proposed algorithm is proved to be more effective than that of the Bar shalom-Campo algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3420

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