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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 98 Documents
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Search results for , issue "Vol 12, No 7: July 2014" : 98 Documents clear
Adaptive Hybrid Synchronization of Lorenz-84 System with Uncertain Parameters Edwin Albert Umoh
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5251-5260

Abstract

This paper presents the adaptive control and hybrid synchronization of Lorenz-84 chaotic system using a master-slave topology. The Lorenz-84 is an 11-term dissipative system that possessed  four quadratic nonlinearities in its coupled algebraic structure which results to the evolution of  a dense chaotic attractors in both 2-D and 3-D spaces. Firstly, an adaptive nonlinear feedback controller was designed to suppress the chaotic dynamics of the system. By using Lyapunov stability criterion, the asymptotic stability of the error states was guaranteed and the state dynamics were stabilized. Secondly, adaptive nonlinear feedback controllers were designed to guarantee the co-existence of synchronization and anti-synchronization of the system. By suitable selection of feedback coefficients and Lyapunov function candidate, the uncertain parameters of the slave system were estimated. Numerical simulations via MATLAB show the convergence of the uncertain parameters to their true values after a transient time while the two systems synchronized completely.
Dynamic Error Analysis of CMM Based on Variance Analysis and Improved PLSR Zhang Mei; Cheng Fang; Li Guihua
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5342-5349

Abstract

It is difficult to build an accurate model to predict the dynamic error of CMM by analyzing error sources. An innovative modeling method based on Variance Analysis and Improved Partial Least-square regression (IPLSR) is proposed to avoid analyzing the interaction of error sources and to overcome the multi-collinearity of Ordinary Least-square regression (OLSR). Among many impact factors the most influential parameters are selected as the independents of the model, by means of variance analysis.The proposed modeling method IPLSR can not only avoid the analysis of the error sources and the interactions, but can also solve the problem of multi-collinearity in OLSR. From experimental data the expository capability of this IPLSR model can be calculated as 85.624 percent, and the mean square error is 0.94μm. As comparison, the mean square values of conventional PLSR and OLSR are 1.04μm and 1.39μm, respectively. So IPLSR has higher predicting precision and better expository capability.
An ICVBPNN Algorithm for Time-varying Channel Tracking and Prediction Sufang Li; Mingyan Jiang; Dongfeng Yuan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5476-5483

Abstract

An improved complex-valued back propagation neural network (ICVBPNN) algorithm is proposed in this paper. In allusion to the defect of gradient descent of traditional complex-valued back propagation network (CVBPNN) algorithm, additive momentum has been introduced. It is used for time-varying channel tracking and prediction in wireless communication system and better application results are acquired. Firstly, with the use of the learning ability of the neural network, the tracking training is started based on the obtained channel state information (CSI), thus the nonlinear channel model is constructed. Secondly, the unknown channel state information is predicted using the ICVBPNN trained model. The simulation results demonstrate that the proposed method has less estimated error, and can track the channel more accurately than the traditional CVBPNN and the Kalman Filter algorithm.
Key Internet of Things Technology and Application Research Xu Bing
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5599-5602

Abstract

Key core technologies of IOT (internet of things) have to be addressed to achieve rapid development. This paper focused on studying RFID, wireless sensor network (WSN) and TCCP which were integrated to address the IOT application problems. Meanwhile, an IOT architectural model was established and the IOT applications in real-time medical monitoring, intelligent transportation system (ITS), intelligent appliances and intelligent agriculture were introduced.
Behavior of DFIG Wind Turbine During Unbalanced Grid Voltage Omer Elfaki; Wang Zezhong; Liu Qihui
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4934-4943

Abstract

The use of doubly fed induction generators (DFIGs) in wind turbines has become quite common for the last few years. These machines provide variable speed and are driven with a power converter which is sized for a small percentage of the turbine-rated power. This paper presents a detailed model of an induction generator coupled to wind turbine system. Modeling and simulation of the induction machine using vector control computing technique is done. DFIG wind turbine is an integrated part of the distributed generation system, therefore, any abnormality’s associates with grid are going to affect the system performance considerably. Taking this into account, the performance of DFIG variable speed wind turbine under network fault is studied using simulation developed in MATLAB/SIMULINK.
Determining LBMP through Optimal Power Flow in the Electric Power Business Hermagasantos Zein; Yusra Sabri; Erwin Dermawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5086-5095

Abstract

The energy crisis has got the serious attention of experts since the middle19th century. Many efforts with significant progresses has been yielded to obtain its solution, such as technology development and diversification of primary energy sources, but the threat of the energy crisis has not been able to be avoided. Early tahun 1990, attention of experts are focused on energy savings, operating efficiencies and transparency. As a result, they have recommended changing the electric power business of the monopoly system to the market system, competition. In a competitive system, the problems will be more complex, especially in the energy price through optimization. One of the popular energy pricing methods today is LBMP, Locational Based Marginal Price, which has been successfully applied by New York, US. Generally, it is determined through ED, Economic Dispatch, calculations. In this case, Operator must do the complicated adjustments, especially for congestion conditions, so that thier results can be applied to the network. The simulation results, both heavy and light loads, showed that the OPF with step reduction can work well. Comparing with ED has to done some adjustments because a few contraints were out of their limits.
Red (SrCa)AlSiN3:Eu2+ Nitride Phosphor Particle Size of Phosphor Converted Warm White LEDs Peng Hui Yuen; Hsien Shiung Hwang; Mutharasu Devarajan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5211-5216

Abstract

Red (SrCa)AlSiN3:Eu2+ nitride phosphor with different particle sizes were characterized based on physical and luminescent properties, then packaged into Chip-On-Board (COB) Warm White Light Emitting Diode (LED)  modules to investigate the influence of particle size on packaging parameters and optical  output of the COB LED devices. The phosphor particle sizes investigated were 10µm, 12µm and 14µm, and experimental data indicates that the emission spectrum for the red phosphor with bigger particle size is slightly red-shifted compare with the red phosphor with smaller particle size. Besides that, COB LED modules packaged with smaller red phosphor particle required slightly lesser amounts of phosphor to achieve same value of Correlated Color Temperature (CCT) range from 3500K to 3600K, while enhancing the optical output power. The average lumen output and the average efficacy of COB LED devices packaged with 10µm phosphor had an increment of 5.07% and 9.55% respectively while 12µm phosphor had an increment of 5.14% and 9.79% respectively compared to the 14µm phosphor sample.
Wind-Induced Vibration Analysis of Overhead Working Truck Hongqi Jiang; Shuncai Li; Xianbiao Mao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5298-5304

Abstract

As to the complicated characteristics of overhead working truck under effects of random dynamic wind, the traditional method is difficult to reflect its dynamic response in real time, in the study; it proposes the random wind induced vibration response analysis method based on the finite element method and pseudo-excitation method. An it regards the vibration of the fluctuating wind load as coherent random vibration under stationary random excitation, and it uses Davenport wind velocity spectrum which does not change with height, the correlation of the wind excitation are considered. It takes the folding type arm overhead working truck as example, the random wind vibration analysis are performed, and it gets the acceleration response spectrum and root mean square the of aerial work platform. The analysis results show that the low-order frequency will cause great vibration of the work platform, and the vertical one third of the root-mean-square of acceleration is below international standards, it has no uncomforted effect on operation workers. 
Stochastic Synchronization of Neutral-Type Chaotic Markovian Neural Networks with Impulsive Effects Cheng-De Zheng; Xixi Lv
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5430-5437

Abstract

This paper studies the globally stochastic synchronization problem for a class of neutral-type chaotic neural networks with Markovian jumping parameters under impulsive perturbations. By virtue of drive-response concept and time-delay feedback control techniques, by using the Lyapunov functional method, Jensen integral inequality, a novel reciprocal convex lemma and the free-weight matrix method, a novel sufficient condition is derived to ensure the asymptotic synchronization of two identical Markovian jumping chaotic delayed neural networks with impulsive perturbation. The proposed results, which do not require the differentiability and monotonicity of the activation functions, can be easily checked via Matlab software. Finally, a numerical example with their simulations is provided to illustrate the effectiveness of the presented synchronization scheme.  
Intuitionistic Fuzzy Set Based Task Scheduling with QoS Preference Awareness Juan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5559-5566

Abstract

Existing task scheduling algorithms in cloud computing lack the ability to be aware of users' quality of service(QoS) preference. In order to address this problem, "intuitionistic fuzzy analysis" is introduced to determine users' QoS preference. In addition, the "optimal sequence decision method" helps experts use their professional knowledge to decide the weights of QoS classes. Using these methods, we propose the "Intuitionistic Fuzzy Set Based Task Scheduling with QoS Preference Awareness: IFS-QoS PA" algorithm. By considering both user and expert experience, the method can determine users' QoS preference and reflect the characteristic of cloud storage system. The simulation results show that this method offers acceptable user satisfaction rate, has low computation complexity and more suitable for large scale task scheduling as compare to particle swarm optimization based ones.

Page 4 of 10 | Total Record : 98

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