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28,451 Article Results

Reducing Routing Overhead in Random Walk Protocol under MP2P Network

10.11591/ijece.v6i6.pp3121-3130
Ajay Arunachalam , Ohm Sornil
Due to network dynamics in self-organizing networks the resource discovery effort increases. To discover objects in unstructured peer-to-peer network, peers rely on traditional methods like flooding, random walk and probabilistic forwarding methods. With inadequate knowledge of paths, the peers have to flood the query message which creates incredible network traffic and overhead. Many of the previous works based on random walk were done in wired network. In this context random walk was better than flooding. But under MANETs random walk approach behaved differently increasing the overhead, due to frequent link failures incurred by mobility. Decentralized applications based on peer-to-peer computing are best candidates to run over such dynamic network. Issues of P2P service discovery in wired networks have been well addressed in several earlier works. This article evaluates the performance of random walk based resource discovery protocol over P2P Mobile Adhoc Network (MP2P) and suggests an improved scheme to suit MANET. Our version reduces the network overhead, lowers the battery power consumption, minimizes the query delay while providing equally good success rate. The protocol is validated through extensive NS-2 simulations. It is clear from the results that our proposed scheme is an alternative to the existing ones for such highly dynamic mobile network scenario.
Volume: 6
Issue: 6
Page: 3121-3130
Publish at: 2016-12-01

Battery-equivalent DC Supply from Leakage Current: PV to Transformer-less Inverter Topology

10.11591/ijpeds.v7.i4.pp1193-1199
M. N. H. Khan , K. J. Ahmad , M. S. Zahan , M. N. Hasan
Solar panels are highly used for electricity generation, which can be gotten through switching-based transformer-less inverters. Hence, grid system with no galvanic-isolation, is taking the peak level in the world, which is effective and delivers power with enhanced efficiency. The PV generation presented here is for stand-alone system installed in remote areas on when and as the resulting power gets connected to electronic load installation instead of being tied to the grid. In this paper will be discussed the use of leakage current. Transformer-less inverter topology for exploring the issue of common mode (CMV) voltage development, which can be utilized as a Battery-Equivalent DC Supply after adding on places as when found suitable for such installations.
Volume: 7
Issue: 4
Page: 1193-1199
Publish at: 2016-12-01

Modelling and Predicting of the Characteristics of a Photovoltaic Generator on a Horizontal and Tilted Surface

10.11591/ijece.v6i6.pp2557-2576
Mustapha Elyaqouti , Lahoussine Bouhouch , Ahmed Ihlal
In the present paper, we will attempt to predict the Ipv-Vpv output characteristic of a photovoltaic generator (PVG) and consequently the generated electric power. This will be possible through modeling, extracting the electrical parameters of the PVG under study and also, by estimating the global incident solar radiation, on a surface, first horizontally, and then tilted to a given angle. Mathematical models developed in Matlab, to characterize the studied PVG are validated by experimental data of the PVG manufacture. While models associated with global radiation are validated by measurements taken by the meteorological station installed on the laboratory site ERTAIER (Team for Research in Technology and Advanced Engineering of Renewable Energies) of Higher School of Technology Agadir (ESTA). 
Volume: 6
Issue: 6
Page: 2557-2576
Publish at: 2016-12-01

Minimization of Starting Energy Loss of Three Phase Induction Motors based on Particle Swarm Optimization and Neuro Fuzzy Network

10.11591/ijpeds.v7.i4.pp1038-1048
Mahmoud M. Elkholy , Mohamed A. Elhameed
The purpose of this paper is to minimize energy losses consumed by the induction motor during starting with wide range of load torque from no load to full load. This will limit the temperature rise and allows for more numbers of starting during a definite time. Starting energy losses minimization is achieved by controlling the rate of increasing voltage and frequency to start induction motor under certain load torque within a definite starting time. Optimal voltage and frequency are obtained by particle swarm optimization (PSO) tool according to load torque. Then, outputs of the PSO are used to design a neuro-fuzzy controller to control the output voltage and frequency of the inverter during starting for each load torque. The starting characteristics using proposed method are compared to starting characteristics using direct on line method and V/F method. A complete model of the system is developed using SIMULINK/MATLAB.
Volume: 7
Issue: 4
Page: 1038-1048
Publish at: 2016-12-01

Effective Computer-Assisted Automatic Cervical Vertebrae Extraction with Rehabilitative Ultrasound Imaging by using K-means Clustering

10.11591/ijece.v6i6.pp2810-2817
Hae-Jung Lee , Doo Heon Song , Kwang Baek Kim
Neck pain is one of most common musculoskeletal condition resulting in significant clinical, social and economic costs. Muscles around cervical spine including deep neck flexors play a key role to support and control its stability, thus monitoring such muscles near cervical vertebrae is important. In this paper, we propose a fully automated computer assisted method to detect cervical vertebrae with K-means pixel clustering from ultrasonography. The method also applies a series of image processing algorithms to remove unnecessary organs and noises in the process. The experiment verifies that our approach is consistent with human medical experts’ decision to locate key measuring point for muscle analysis and successful in detecting cervical vertebrae accurately – successful in 48 out of 50 test cases (96%).
Volume: 6
Issue: 6
Page: 2810-2817
Publish at: 2016-12-01

An Approach to Voltage Quality Enhancement by Introduction of CWVM for Distribution System

10.11591/ijpeds.v7.i4.pp1276-1282
Alok Kumar Shrivastav , Pradip Kumar Sadhu , Ankur Ganguly , Saumen Dhara
This paper presented with problems related with voltage flicker in power system networks. Several international standard issued to control the voltage flicker are briefly described and some important methods to analyse electrical circuits with sinusoidal and non-sinusoidal waveforms are introduced and evaluated. One of these methods – Cockcroft Walton Voltage Multiplier (CWVM) has been used to increase the voltage of a filter, which is also described in this paper as a practical application. The filter can compensate for harmonic currents, power factor, and unbalance voltage. The simulation results using Multisim are presented, showing that good dynamic and steady-state response can be achieved with this approach.
Volume: 7
Issue: 4
Page: 1276-1282
Publish at: 2016-12-01

Performance Enhancement of TCP Friendly Rate Control Protocol over Wired networks

10.11591/ijece.v6i6.pp2949-2954
N. Ramanjaneya Reddy , Chenna Reddy Pakanati , M. Padmavathamma
One of the main aims of transport layer protocol is achieving best throughput without any congestion or reduced congestion.  With rapid growing application needs and with increasing number of networks in Internet, there is a primary need to design new protocols to transport layer.  To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC).  It controls congestion based on its equation. However, every packet requires an acknowledgement in TFRC. It creates congestion in the network when the transmitted data is very large, which results in reduced throughput. This paper aims to increase the throughput when the transmitted data is large with minimal congestion by reducing the number of acknowledgements in the network.  We modified some fixed parameters in the TFRC equation. The results show the increased throughput with minimal congestion.
Volume: 6
Issue: 6
Page: 2949-2954
Publish at: 2016-12-01

A Model Driven Approach based on Interaction Flow Modeling Language to Generate Rich Internet Applications

10.11591/ijece.v6i6.pp3073-3079
Sarra Roubi , Mohammed Erramdani , Samir Mbarki
A Rich Internet Applications (RIAs) combine the simplicity of the hypertext paradigm with the flexibility of desktop interfaces. These appliations were proposed as a solution to follow the rapid growth and evolution of the Graphical User Interfaces. However, RIAs are complex applications and their development requires designing and implementation which are time-consuming and the available tools are specialized in manual design. In this paper, we present a model driven approach to generat GUI for Rich Internet Application. The approach exploits the new language IFML recently adopted by the Object Management Group. We used frameworks and technologies known to Model-Driven Engineering, such as Eclipse Modeling Framework (EMF) for Meta-modeling, Query View Transformation (QVT) for model transformations and Acceleo for code generation. The approach allows to quickly and efficiently generating a RIA focusing on the graphical aspect of the application.
Volume: 6
Issue: 6
Page: 3073-3079
Publish at: 2016-12-01

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

Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies

10.11591/ijai.v5.i4.pp135-142
Tushar Anthwal , M K Pandey
With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Volume: 5
Issue: 4
Page: 135-142
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
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