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25,016 Article Results

Fuzzy Sliding Mode Control for DFIG-based Wind Energy Conversion Optimization

10.11591/ijeecs.v12.i11.pp7549-7557
Han Yaozhen , Liu Xiangjie
This study proposes a fuzzy sliding mode control strategy to realize wind energy conversion optimization based on doubly-fed induction generator (DFIG). Its operational points in partial load zone can be electronically controlled. Chattering in wind energy conversion sliding mode control system is greatly alleviated based on fuzzy switching gain adjustment. The purposes including the maximum power point tracking, decoupling control of active and reactive power of fed induction generation system are fulfilled. Fitful and random wind speeds are mathematical modeled.  Simulation results verified  effectiveness and feasibility of  the proposed control strategy  under the two types of wind speed and indicate that the whole control system has better robustness against uncertainties and can guarantee the power quality.
Volume: 12
Issue: 11
Page: 7549-7557
Publish at: 2014-11-01

Speed Sensorless Fault-Tolerant Drive System of 3-Phase Induction Motor Using Switching Extended Kalman Filter

10.11591/ijeecs.v12.i11.pp7640-7649
M. Jannati , N. R. N. Idris , M. J. A. Aziz
Speed sensorless vector control of 3-phase induction motor under open-phase fault (faulty 3-phase induction motor) ased on Indirect Rotor Field-Oriented Control (RFOC) is proposed in this paper. To ensure high performance FOC of induction motor drives, the estimation of the rotor speed is necessary. However, the algorithm used to estimate the rotor speed for a 3-phase induction motor cannot be used directly for a faulty 3-phase induction motor. This is because the faulty induction motor model is different from the healthy 3-phase induction motor. To overcome this problem, in this paper a new switching Extended Kalman Filter (EKF) s proposed to update online the rotor speed. The proposed algorithm can be used for estimation of rotor speed in both healthy and faulty conditions. MATLAB simulation results are carried out to show the capability of the proposed drive system. The results show the activity of the proposed method at wide range speed operation.
Volume: 12
Issue: 11
Page: 7640-7649
Publish at: 2014-11-01

Design and Analysis of Parallel MapReduce based KNN-join Algorithm for Big Data Classification

10.11591/ijeecs.v12.i11.pp7927-7934
Xuesong Yan
In data mining applications, multi-label classification is highly required in many modern applications. Meanwhile, a useful data mining approach is the k-nearest neighbour join, which has high accuracy but time-consuming process. With recent explosion of big data, conventional serial KNN join based multi-label classification algorithm needs to spend a lot of time to handle high volumn of data.  To address this problem, we first design a parallel MapReduce based KNN join algorithm for big data classification. We further implement the algorithm using Hadoop in a cluster with 9 vitual machines. Experiment results show that our MapReduce based KNN join exhibits much higher performance than the serial one. Several interesting phenomenon are observed from the experiment results.
Volume: 12
Issue: 11
Page: 7927-7934
Publish at: 2014-11-01

Review of the Urban Traffic Modeling

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3979
Zhu Song , Zhiguang Qin
Nowadays, the urban traffic modeling, which is helpful in planning and controlling the traffic system, has becoming a research hotspot of traffic engineering.  After decades of research and development, there now exists hundreds of models choosing different modeling methods to simulate the traffic flow. It is important for us to understand these models by classifying them and analyzing their features. The features of traffic models, including the scalability, accuracy and computability, are becoming important indicators to measure their performance. In this paper, we introduce and compare some grounded models. In particular, we analyze the advantages and disadvantages of existing models, and classify them into three categories according their granularity: macroscopic, mesoscopic and microscopic models. http://dx.doi.org/10.11591/telkomnika.v12i11.6128 
Volume: 12
Issue: 11
Page: 7738-7757
Publish at: 2014-11-01

Load Reduction Pitch Control for Large Scale Wind Turbines based on Sliding Mode

10.11591/ijeecs.v12.i11.pp7564-7570
Han Yaozhen , Xiao Hairong , Zhang Haifeng
With the wind turbines being produced toward to large scale and light weight, the flexibility of blade, drive mechanism and tower increase apparently. Loads suffered by wind turbines during operation become increasingly intricate. Some control approaches could be used to cut down these loads in orde to expand life cycle of generating sets. Aiming at the full load operation zone above rated wind speed, conventional control target is only considering rotating speed of wind turbine and without considering the loads, such that these loads could not be restrained effectively. This paper proposes a multi-objective sliding mode pitch control approach based on a new double-power reaching law. It can control rotating speed of wind turbine and decrease balanced loads of tower, blade and drive mechanism. Simulation is implemented under Matlab/Simulink and the results verified effectiveness of the designed control scheme.
Volume: 12
Issue: 11
Page: 7564-7570
Publish at: 2014-11-01

A Clean Economic Dispatch of PV Energy Storage Connected to Grid Based on LHS-SR-GAMS Technology

10.11591/ijeecs.v12.i11.pp7613-7621
Liu Jiang-Tao , Wang Hai-Yun , Luo Jian-Chun , Luo Qing , Chen Xing
PV output uncertainty, the PV scheduling problem has become urgent. The combined energy storage and PV can solve effectively the problem. We established the joint energy-saving economic scheduling model on PV- Storage generation, which mainly included the penalty model about PV positive deviation output and the penalty model about PV negative deviation output and "overflowing negative revenue" model. Considering the uncertainty of the PV output, this paper analyzed the prediction error distribution characteristics about PV output by the probability density estimate method. Based on the LHS (Latin hypercube sampling) –SR (scenes reduce) technology, PV uncertain output is converted into a finite PV output scenes under different probability conditions. Finally, we used the PV output scenarios as the input data, and we solved the proposed Model based on GAMS (General Algebraic Model System) software, which the optimization goal is the joint expectation maximum power generation benefit. Results show that the proposed method is effective, and had good engineering application value.
Volume: 12
Issue: 11
Page: 7613-7621
Publish at: 2014-11-01

Detailed Analysis of Extrinsic Plagiarism Detection System Using Machine Learning Approach (Naive Bayes and SVM)

10.11591/ijeecs.v12.i11.pp7884-7894
Zakiy Firdaus Alfikri , Ayu Purwarianti
In this report we proposed a detailed analysis method of plagiarism detection system using machine learning approach. We used Naive Bayes and Support Vector Machine (SVM) as learning algorithms. Learning features used in the method are words similarity, fingerprints similarity, latent semantic analysis (LSA) similarity, and word pair. The purpose in selecting those features is to retrieve information from the state-of-the-art detailed analysis methods (words similarity, fingerprinting, and LSA) in order to integrate the strength of each method in detecting plagiarism. Several experiments were conducted to test the performance of the proposed method in detecting many cases of plagiarism. The experiments used data test that contains cases of literal plagiarism, partial literal plagiarism, paraphrased plagiarism, plagiarism with changed sentence structure, and translated plagiarism. The data test also contains cases of non-plagiarism of different topics and non-plagiarism of the same topic. The results obtained in experiments using SVM showed an average accuracy of 92.86% (reaching 95.71% without using words similarity feature). While the result obtained using Naive Bayes showed an average accuracy of 54.29% (reaching 84.29% without using the word pair features).
Volume: 12
Issue: 11
Page: 7884-7894
Publish at: 2014-11-01

Audio and Video Communication Software Design Based on SIP

10.11591/ijeecs.v12.i11.pp7946-7951
Shanshan Peng
This paper makes a design which implements the audio and video communication based on SIP over the Win2K platform. The oSIP and eXosip were used to exchange the Signals, and the jrtp was for packing the audio and video data. In the end, the multithreading was adopted to make the software perform well.
Volume: 12
Issue: 11
Page: 7946-7951
Publish at: 2014-11-01

Research on Protein Thermal Condensation Detection Based on Phase Modulation SPR Imaging

10.11591/ijeecs.v12.i11.pp7808-7815
Yang Zi Kang
The existing of labeling methods can not completely meet the requirements of protein detection. It is currently in urgent need of sensitive, labeless, real-time and high throughput protein detection methods. A novel SPR imaging biomolecular interatction detection method based on time domain phase modulation is presented in this thesis. Experimental apparatus of SPR imaging biomolecular interaction detection based on TDPM is established. Biomolecular interaction is detected. 2×2 lysozyme array chip is prepared and lysozyme thermal condensation is detected by the experimental apparatus. SPR curves of the interaction are obtained and kinetic parameters are calculated. It can sensitively acquire real-time phase change caused by biomolecular interaction based on interference imaging, and resolve related bioinformation, which is a potential tool for proteomics research.
Volume: 12
Issue: 11
Page: 7808-7815
Publish at: 2014-11-01

The Influence of Aspect Ratio and Orientation to Scattering Properties of Ellipsoid Ice Particles

10.11591/ijeecs.v12.i11.pp7543-7548
Jinhu Wang , Junxiang Ge , Ming Wei
The influence of aspect ratio and orientation to scattering properties of ellipsoid ice particles at 94GHz is studied by Discrete-Dipole Approximation (DDA) method. Absorption efficiency, scattering efficiency, asymmetry factor and backscattering efficiency are computed with aspect ratios vary from 0.2 to 1.0, whose size parameter range are selected from 0 to 5. It is found that the values of scattering properties are increasing if the particle size increases, but if the size is larger than the limit value, oscillation occur, and the oscillation phenomenon will be smoothed by random orientation compared with that of horizontal orientation because scattering properties computed by random orientation method have more average frequency than that of horizontal orientation. In non-oscillating region, the scattering efficiency is larger than the absorption efficiency due to small imaginary part of the complex refractive of ice at 94 GHz, and scattering properties increase if the aspect ratio increases with the same size parameter but this feature is apparent only in the case of horizontal orientation. The asymmetric degree of forward scattering and backscattering increases when particle size increases when size parameter of particle is not exceeding 1.5.
Volume: 12
Issue: 11
Page: 7543-7548
Publish at: 2014-11-01

Evaluation of Speed and Torque Estimations for the EKF-based Direct Torque Control in Induction Machines

10.11591/ijeecs.v12.i11.pp7659-7667
Ibrahim Mohd Alsofyani , Nik Rumzi Nik Idris , Y.A. Alamri , Low Wen Yao , Sajjad A. Anbaran
Accurate estimations of unmeasurable variables are required for increasing the performance of sensorless induction motor drives. This can be achieved if the required variables are accurately estimated with a well-established observer.  The paper presents an extended Kalman filter- based direct torque control to investigate the estimations of speed and torque under challenging rotor and stator resistor and load variations at low and high speed regions. In all investigated scenarios, the speed and torque estimation showed good robustness against perturbations and their errors have remained within acceptable error bands.
Volume: 12
Issue: 11
Page: 7659-7667
Publish at: 2014-11-01

Crack Detection of Power Line Based on Metal Magnetic Memory Non-destructive

10.11591/ijeecs.v12.i11.pp7764-7771
Fenglian Niu
Visual inspection method using helicopter equipped with infrared and ultraviolet camera is often employed to check the transmission status of power line, but it is so expensive and unsafe relative to using power line robot to implement crack detection of power line. In this paper a new measuring method is proposed using metal magnetic memory non-destructive (MMMNDT) to to automatically detect defects or abnormal conditions based on a completely autonomous mobile platform capable of a meaningful payload for signal data processing. In this work one kind of brand-new mechanical structure has been designed for inspection robot, and some important parts of the mechanical structure have been fully explained. At the same time, a detection system of the robot has been designed based on MMMNDT. The results of experiments about the crack detection of power line show that the robot can satisfactorily span obstacles automatically and fulfill the specified inspection tasks, experiment results of the detection system verified that this diagnosis system is feasible and can be applied to power line detection.
Volume: 12
Issue: 11
Page: 7764-7771
Publish at: 2014-11-01

An Adaptive Genetic Algorithm for Mesh-Based NoC Application Mapping

10.11591/ijeecs.v12.i11.pp7869-7875
Frank Wang , Zhibiao Zhang
Application mapping is one of the key problems of Network-on-Chip (NoC) design. It maps the cores of application to the processing elements of the NoC topology. This paper presents a novel approach for NoC application mapping, which uses adaptive genetic algorithm (AGA) in the mapping. The proposed approach adaptively varies the probabilities of crossover and mutation operators in genetic algorithm, aiming to reduce the overall communication cost of NoC. Experimental results show that the proposed approach decreases the communication cost by 3% to 7% on average, compared to the existing approach using Standard Genetic Algorithm (SGA).
Volume: 12
Issue: 11
Page: 7869-7875
Publish at: 2014-11-01

Research of the Communication Model of Botnet Based on P2P

10.11591/ijeecs.v12.i11.pp7963-7969
Gao Jian , Yang Ming , Guo Chengqing
The communication mechanism for P2P botnet existing is classified into two models: the Send communication model and the Request communication model. We propose an evaluation index including concealment, effectiveness, efficiency and robustness and its calculation method. At the same time we using these evaluation index to simulate, evaluate and analysis the two kinds of models, and study the relationship between them and the botnet basic characteristics.
Volume: 12
Issue: 11
Page: 7963-7969
Publish at: 2014-11-01

A New Approach towards Ideal Location Selection for PV Power Plant in India

10.11591/ijeecs.v12.i11.pp7681-7689
Suprava Chakraborty , Pradip Kumar Sadhu , Nitai Pal
India is the seventh largest country in the world, blessed with adequate solar radiation, therefore to setting up a Photovoltaic power plant is a lucrative option. In actual field conditions the performance of the PV modules vary significantly from its Standard Test Condition (STC) due to large change in environmental conditions. It is very important to study the exact meteorological parameters for different locations in India before installation of a Photovoltaic power plant. In this paper, the long-term meteorological parameters for the seventy considered locations in India from National Aeronautics and Space Administration (NASA) renewable energy resource website (Surface Meteorology and Solar Energy) are collected and analyzed in order to select an ideal location for installation of PV power plant. This paper helps the investors, Ministry of New and Renewable Energy (MNRE), Electricity Authority and Planning Commission to select proper locations for installation of PV power plant.
Volume: 12
Issue: 11
Page: 7681-7689
Publish at: 2014-11-01
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