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27,404 Article Results

Modelling of a 3-phase Induction Motor under Open-phase Fault Using Matlab/Simulink

10.11591/ijpeds.v7.i4.pp1146-1152
Mohammad Jannati , Tole Sutikno
The d-q model of Induction Motors (IMs) has been effectively used as an efficient method to analyze the performance of the induction machines. This study presents a step by step Matlab/Simulink implementation of a star-connected 3-phase IM under open-phase fault (faulty 3-phase IM) using d-q model. The presented technique in this paper can be simply implemented in one block and can be made available for control purposes. The simulated results provide to show the behavior of the star-connected 3-phase IM under open-phase fault condition.
Volume: 7
Issue: 4
Page: 1146-1152
Publish at: 2016-12-01

A General Method to Parameter Optimization for Highly Efficient Wireless Power Transfer

10.11591/ijece.v6i6.pp3217-3221
Kazuya Yamaguchi , Takuya Hirata , Ichijo Hodaka
This paper proposes a new and general method to optimize a working frequency and a load resistance in order to realize highly efficient wireless power transfer. It should be noticed that neither resonant frequency nor matched impedance maximizes efficiency of wireless power transfer circuit, in general. This paper establishes a mathematical model of a commonly used wireless power transfer circuit, and derives a mathematical expression of circuit efficiency which involves a working frequency, a load resistance and the other parameters as symbols. This enables us to find the optimal workingfrequency and load resistance. The result of this paper is compared with results by a method based on resonance and impedance matching, and then clarified by a numerical example.
Volume: 6
Issue: 6
Page: 3217-3221
Publish at: 2016-12-01

Microarray Image Analysis Using Genetic Algorithm

10.11591/ijeecs.v4.i3.pp561-567
Bolem Sivalakshmi , N. Naga Malleswara Rao
Microarray technology allows the simultaneous monitoring of thousands of genes. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, segmentation and intensity extraction are the three important steps in microarray image analysis. This paper presents microarray image analysis using Genetic Algorithm. A new algorithm for microarray image contrast enhancement is presented using Genetic Algorithm. Contrast enhancement is crucial step in extracting edge information in image and finally this edge information is used in gridding of microarray image. Mostly segmentation of microarray image is carried out using clustering algorithms. Clustering algorithms have an advantage that they are not restricted to a particular shape and size for the spots. In this paper, segmentation using Genetic Algorithm by optimizing K-means index and Jm measure is presented. The qualitative analysis shows that the proposed method achieves better segmentation results than K-means and FCM algorithms.
Volume: 4
Issue: 3
Page: 561-567
Publish at: 2016-12-01

Analytical Estimation of the Electrostatic Field in Cylinder-Plane and Cylinder-Cylinder Electrode Configurations

10.11591/ijece.v6i6.pp2506-2515
Emmanouil D. Fylladitakis , Antonios X. Moronis , Michael Theodoridis
This work presents analytical formulas for the estimation of the electrostatic field in cylinder-plane and cylinder-cylinder electrode configurations. Assuming a predefined potential difference between the electrodes and given their geometrical characteristics, these could be useful for the solution of numerous problems involving such electrode sets. Moreover, the voltage distribution around the electrodes is defined by providing equations either for the equipotentials at a given voltage ratio, or the exact estimation of the potential at any point in the surrounding space. Simplified expressions for critical engineering parameters such as the peak electric field and the field enhancement factor are also given.
Volume: 6
Issue: 6
Page: 2506-2515
Publish at: 2016-12-01

Retinal Area Segmentation using Adaptive Superpixalation and its Classification using RBFN

10.11591/ijece.v6i6.pp2674-2681
Nimisha Singh , Rana Gill
Retinal disease is the very important issue in medical field. To diagnose the disease, it needs to detect the true retinal area. Artefacts like eyelids and eyelashes are come along with retinal part so removal of artefacts is the big task for better diagnosis of disease into the retinal part.  In this paper, we have proposed the segmentation and use machine learning approaches to detect the true retinal part. Preprocessing is done on the original image using Gamma Normalization which helps to enhance the image  that can gives detail information about the image. Then the segmentation is performed on the Gamma Normalized image by Superpixel method. Superpixel is the group of pixel into different regions which is based on compactness and regional size. Superpixel is used to reduce the complexity of image processing task and provide suitable primitive image pattern. Then feature generation must be done and machine learning approach helps to extract true retinal area. The experimental evaluation gives the better result with accuracy of 96%.
Volume: 6
Issue: 6
Page: 2674-2681
Publish at: 2016-12-01

An Improved of Multiple Harmonic Sources Identification in Distribution System with Inverter Loads by Using Spectrogram

10.11591/ijpeds.v7.i4.pp1355-1365
M.H. Jopri , A.R. Abdullah , M. Manap , M.R. Yusoff , T. Sutikno , M.F. Habban
This paper introduces an improved of multiple harmonic sources identification that been produced by inverter loads in power system using time-frequency distribution (TFD) analysis which is spectrogram.  The spectrogram is a very applicable method to represent signals in time-frequency representation (TFR) and the main advantages of spectrogram are the accuracy, speed of the algorithm and use low memory size such that it can be computed rapidly. The identification of multiple harmonic sources is based on the significant relationship of spectral impedances which are the fundamental impedance (Z1) and harmonic impedance (Zh) that extracted from TFR. To verify the accuracy of the proposed method, MATLAB simulations carried out several unique cases with different harmonic producing loads on IEEE 4-bus test feeder cases. It is proven that the proposed method is superior with 100% correct identification of multiple harmonic sources. It is envisioned that the method is very accurate, fast and cost efficient to localize harmonic sources in distribution system.
Volume: 7
Issue: 4
Page: 1355-1365
Publish at: 2016-12-01

Goal Model to Business Process Model: A Methodology for Enterprise Government Tourism System Development

10.11591/ijece.v6i6.pp3031-3036
Ahmad Nurul Fajar , Imam Marzuki Shofi
The critcal factor in successfully in system development is the requirement phase. The requirement should meets with its purpose. In order to achieve it, the methodology for requrement analysis is needed. Nowdays, the complexity of e-governemnt applications is grown significantly in the government environment. E-government applications should be developed based on regulations in order to achieve the goal model of government entitties. However, the goal model could not used directly to make business process model. In order to solve this problem,this paper presents and proposed a Methodology to extract goal model into business process model that called GBPM Methodology. It can support the requirement analysis phase, especially in enterprise government tourism system. This methodology consists of two methods, there are (1) Method for convert goal model to business use case diagram, (2) Method for convert business use case diagram to activity diagram. We do the experiment in e-government applications domain. This methodology suitable with enterprise government tourism system development.
Volume: 6
Issue: 6
Page: 3031-3036
Publish at: 2016-12-01

User Analysis Mechanisms based Mobile Fitness System

10.11591/ijece.v6i6.pp3154-3160
Jong Won Lee , Han Kil Kim , Hoe Kyung Jung
Modern men have health problems caused by lack of exercise than in the past. But most modern people do not know what to do exercise. Mobile systems for fitness to solve this problem have been developed. In this paper, by analyzing the user's BMI (Body Mass Index) Index and BMR (Basal Metabolic Rate) value, the data is made available. The processed data is provided to the user which proposes the right exercise and the appropriate level of exercise intensity, for exercise machines. This is different from detecting the movement, like the existing system, and a fitness value showing the calorie consumption caused. Thus the user is considered to be able to efficiently proceed to a movement based on the provided data.
Volume: 6
Issue: 6
Page: 3154-3160
Publish at: 2016-12-01

Collaboration Management System between the Device based on Machine Socialization

10.11591/ijece.v6i6.pp3148-3153
Han Kyung Kim , In Shik Kang , Wung Jun Kim , Hoe Kyung Jung
The basis of IoT is in the interconnection and communication between different devices to achieve common goals through internet. These devices are interconnected through a network which enables communication within these devices without any direct human intervention. But with such great potential, this technology reached a road-block due to incompatibility within various manufacturers of the same type of device and proprietary standards. I started this project with this problem in mind and I have created a brand and platform independent machine socialization device manager system. In this paper, to overcome the above mentioned problem, I have utilized micro controllers to connect to various existing device to solve the problem and propose a device to device communication with collaboration management. This technology is not restricted to usage in only the new network module enabled smart devices but also this can be used to operate the existing old (not smart) home appliances. Machine socialization was made possible with the use of XML, (an internet standard schema language) which we have used to gather device, task and relationship information of all the devices to show schema information.
Volume: 6
Issue: 6
Page: 3148-3153
Publish at: 2016-12-01

Modified Distribution Transformer for Enhancing Power Quality in Distribution Systems

10.11591/ijpeds.v7.i4.pp1386-1392
Preetha P.K. , P.S. Chandramohanan Nair
The percentage of non-linear loads in the power distribution sector is increasing day by day. Harmonics injected by these non-linear loads circulate in the delta windings of the conventional distribution transformer thereby increasing the temperature and losses. This reduces the efficiency and life of the transformers. In a modified distribution transformer configuration proposed recently, called star-star-delta_utilized configuration (YYD_utilized), the harmonics circulating in the delta winding was utilized and the drainage power thus recovered was used to power auxiliary loads. This paper presents the experimental studies conducted on YYD_utilized distribution transformer. When compared to conventional star-star, delta-star and star-star-delta transformers, the new configuration of YYD_utilized transformer has shown considerable improvement in transformer efficiency.  The results obtained show that when the power from the circulating harmonics is recovered and utilized, it not only improves transformer efficiency but also improves the power factor and reduces the harmonic distortions at the primary side of the transformer. The results obtained also suggest the existence of maximum power point or an optimum loading for the recovered harmonic power.
Volume: 7
Issue: 4
Page: 1386-1392
Publish at: 2016-12-01

Fault Diagnosis and Reconfiguration of Multilevel Inverter Switch Failure-A Performance Perspective

10.11591/ijece.v6i6.pp2610-2620
T.G. Manjunath , Ashok Kusagur
Multilevel Inverters (MLI) gains importance in Distribution systems, Electrical Drive systems, HVDC systems and many more applications. As Multilevel Inverters comprises of number of power switches the fault diagnosis of MLI becomes tedious. This paper is an attempt to develop and analyze the fault diagnosis method that utilizes Artificial Neural Network to get it trained with the fault situations. A performance analysis of Genetic Algorithm (GA) and the Modified Genetic Algorithm (MGA), which optimizes the Artificial Neural Network (ANN) that trains itself on the fault detection, and reconfiguration of the Cascaded Multilevel Inverters (CMLI) is attempted. The Total Harmonic Distortion (THD) occurring due to switch failures or driver failures occurring in the CMLI is considered for this comparative analysis. Elapsed time of recovery, Mean Square Error (MSE) and the computational budgets of ANN are the performance parameters considered in this comparative analysis. Optimization is involved in the process of updating the weight and the bias values in the ANN network.  Matlab based simulation is carried out and the results are obtained and tabulated for the performance evaluation. It was observed that Modified Genetic Algorithm performed better than the Genetic Algorithm while optimizing the ANN training.
Volume: 6
Issue: 6
Page: 2610-2620
Publish at: 2016-12-01

A DC Inrush Current Minimisation Method using Modified Z-source Inverter in Adjustable Speed Drives

10.11591/ijpeds.v7.i4.pp1228-1232
S. Renukadevi , M. Rathinakumar
The adjustable speed drives employ PWM converter – inverter system in order to obtain unity power factor.The DC inrush current in DC link capacitors of the rectifier limits the operation of power devices.Hence, this paper proposes a new approach to reduce the DC inrush current by employing modified Z-source inverter in a Adjustable Speed Drive system. The operating principles, design procedure and simulation results are shown and compared with the conventional Z-Source inverter.
Volume: 7
Issue: 4
Page: 1228-1232
Publish at: 2016-12-01

Improvement of Tuning Fork Gyroscope Drive-mode Oscillation Matched using a Differential Driving Suspension Frame

10.11591/ijece.v6i6.pp2716-2729
Thang Nguyen Van , Tran-Duc Tan , Hung Vu Ngoc , Trinh Chu Duc
This paper presents a novel design of a vibration tuning fork gyroscope (TFG) based on a differential driving suspension coupling spring between two gyroscopes. The proposed TFG is equivalent to a transistor differential amplifier circuit. The mechanical vibrations of driving frames are, therefore, well matched. The matching level depends on stiffness of spring. When three various TFG structures respond to differential stiffness of spring, their the driving frame mechanical vibration is well matched in case the input excitation driving differential phase is less than 3.5°, 2.5°, and 4°, respectively. The fabricated tuning fork gyroscope linearly operates in the range from -200 to +200 degree/s with the resolution of about 0.45 mV/degree/s.
Volume: 6
Issue: 6
Page: 2716-2729
Publish at: 2016-12-01

The Study Methods of Increase Efficiency Algorithms Pulse width Modulation in AC Electric Drives

10.11591/ijece.v6i6.pp2855-2862
Bogdan Y. Vasilev
In the paper describes the AC electric drive, which consists of the induction motor and the semiconductor converter. Structure of the frequency converter, which includes a three-phase bridge inverter on based fully controlled transistors, is considered. The algorithm of pulse width modulation, which used in the majority of the electric drives, is discussed. The characteristics and shortcomings of the algorithm is shows. Algorithmically methods to improve the efficiency of the inverter – promodulation control signal. The efficiency of this method in different variations is given. The level electromagnetic compatibility inverter and efficiency various control algorithms are analyzed. The conclusions about feasibility of using the method promodulation.
Volume: 6
Issue: 6
Page: 2855-2862
Publish at: 2016-12-01

Comparative Performance Study for Closed Loop Operation of an Adjustable Speed Permanent Magnet Synchronous Motor Drive with Different Controllers

10.11591/ijpeds.v7.i4.pp1085-1099
Chiranjit Sain , Atanu Banerjee , Pabitra Kumar Biswas
In this paper an extensive comparative study is carried out between PI and PID controlled closed loop model of an adjustable speed Permanent Magnet Synchronous Motor (PMSM) drive. The incorporation of Sinusoidal Pulse Width Modulation (SPWM) strategy establishes near sinusoidal armature phase currents and comparatively less torque ripples without sacrificing torque/weight ratio. In this closed loop model of PMSM drive, the information about reference speed is provided to a speed controller, to ensure that actual drive speed tracks the reference speed with ideally zero steady state speed error. The entire model of PMSM closed loop drive is divided into two loops, inner loop current and outer loop speed. By taking the different combinations of two classical controllers (PI & PID) related with two loop control structure, different approximations are carried out.  Hence a typical comparative study is introduced to familiar with the different performance indices of the system corresponding to time domain and frequency domain specifications. Therefore overall performance of closed loop PMSM drive is tested and effectiveness of controllers will be determined for different combinations.
Volume: 7
Issue: 4
Page: 1085-1099
Publish at: 2016-12-01
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