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27,860 Article Results

Modeling and Simulation of a Photovoltaic Field for 13 kW

10.11591/ijece.v7i6.pp3271-3281
Salah Eddine Mankour , Ahmed Wahid Belarbi , Mohammed Tarik Benmessaoud
In the future solar energy will be very important source of energy. More than 45% of needed energy in the world will be generated by photovoltaic module. Therefore it is necessary to concentrate our efforts in order to reduce the application costs .This work investigates on the modeling of a Stand Alone Power System focusing on Photovoltaic energy systems. We introduce the models of the system components Therefore a maximum power point tracking (MPPT) technique is needed to track the peak power in order to make full utilization of PV array output power under varying conditions. This paper presents two widely-adopted MPPT algorithms, perturbation & observation (P&O) and incremental conductance (IC).A complete characterization and simulation model was implemented in the Matlab-Simulink environment. Design complete system is done to analyze its behavior for a typical year, with the aim to evaluate their energetic effectiveness.
Volume: 7
Issue: 6
Page: 3271-3281
Publish at: 2017-12-01

Texture Classification Based on Empirical Wavelet Transform Using LBP Features

10.11591/ijeecs.v8.i3.pp623-626
Ramesh P. , V. Mathivanan
Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images.
Volume: 8
Issue: 3
Page: 623-626
Publish at: 2017-12-01

Change Detection from Remotely Sensed Images Based on Stationary Wavelet Transform

10.11591/ijece.v7i6.pp3395-3401
Abhishek Sharma , Tarun Gulati
The major issue of concern in change detection process is the accuracy of the algorithm to recover changed and unchanged pixels. The fusion rules presented in the existing methods could not integrate the features accurately which results in more number of false alarms and speckle noise in the output image. This paper proposes an algorithm which fuses two multi-temporal images through proposed set of fusion rules in stationary wavelet transform. In the first step, the source images obtained from log ratio and mean ratio operators are decomposed into three high frequency sub-bands and one low frequency sub-band by stationary wavelet transform. Then, proposed fusion rules for low and high frequency sub-bands are applied on the coefficient maps to get the fused wavelet coefficients map. The fused image is recovered by applying the inverse stationary wavelet transform (ISWT) on the fused coefficient map. Finally, the changed and unchanged areas are classified using Fuzzy c means clustering. The performance of the algorithm is calculated in terms of percentage correct classification (PCC), overall error (OE) and Kappa coefficient (Kc). The qualitative and quantitative results prove that the proposed method offers least error, highest accuracy and Kappa value as compare to its preexistences.
Volume: 7
Issue: 6
Page: 3395-3401
Publish at: 2017-12-01

Comparative Study of Neural Networks Algorithms for Cloud Computing CPU Scheduling

10.11591/ijece.v7i6.pp3570-3577
Gibet Tani Hicham , El Amrani Chaker , Elaachak Lotfi
Cloud Computing is the most powerful computing model of our time. While the major IT providers and consumers are competing to exploit the benefits of this computing model in order to thrive their profits, most of the cloud computing platforms are still built on operating systems that uses basic CPU (Core Processing Unit) scheduling algorithms that lacks the intelligence needed for such innovative computing model. Correspdondingly, this paper presents the benefits of applying Artificial Neural Networks algorithms in regards to enhancing CPU scheduling for Cloud Computing model. Furthermore, a set of characteristics and theoretical metrics are proposed for the sake of comparing the different Artificial Neural Networks algorithms and finding the most accurate algorithm for Cloud Computing CPU Scheduling.
Volume: 7
Issue: 6
Page: 3570-3577
Publish at: 2017-12-01

Decision Making Analysis of Video Streaming Algorithm for Private Cloud Computing Infrastructure

10.11591/ijece.v7i6.pp3529-3535
Irfan Syamsuddin , Rini Nur , Hafsah Nirwana , Ibrahim Abduh , David Al-Dabass
The issue on how to effectively deliver video streaming contents over cloud computing infrastructures is tackled in this study. Basically, quality of service of video streaming is strongly influenced by bandwidth, jitter and data loss problems. A number of intelligent video streaming algorithms are proposed by using different techniques to deal with such issues. This study aims to propose and demonstrate a novel decision making analysis which combines ISO 9126 (international standard for software engineering) and Analytic Hierarchy Process to help experts selecting the best video streaming algorithm for the case of private cloud computing infrastructure. The given case study concluded that Scalable Streaming algorithm is the best algorithm to be implemented for delivering high quality of service of video streaming over  the private cloud computing infrastructure.
Volume: 7
Issue: 6
Page: 3529-3535
Publish at: 2017-12-01

Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)

10.11591/ijai.v6.i4.pp143-149
Sushmita Kumari , Sudha S , Brindha K
The word “Cloud” refers to network or internet. It is present at.remote location. Cloud computing is a latest mechanism used now-a-days for accessing, manipulating and configuring applications online via internet. It allows users for online data storage, various applications and infrastructure. There are few downsides of cloud computing like in public cloud sharing of data, selected data shared with users of various level without confidentiality and privacy of data. Different methods were used to fix this problem like encryption of attribute; encryption of access control but they have their own problems related to big computation for accquiring access structure, invoking and behavior management. So for removing these weakness, the combination of fuzzy-set theory and RSA algorithm has been introduced. Fuzzy-set is used for clustering the data based on their points. Further for privacy, I have included RSA for encryption and decryption of data which is used to store in cloud database. The analysis of my experiment shows the system is efficient, flexible and provides confidentiality of the data.
Volume: 6
Issue: 4
Page: 143-149
Publish at: 2017-12-01

Reconfigurable Metamaterial Structure at Millimeter Wave Frequency Range

10.11591/ijece.v7i6.pp2942-2949
B. A. F. Esmail , H. A. Majid , Z. Z. Abidin , S. H. Dahlan , M. K. A. Rahim
In this paper, reconfigurable metamaterial structure at millimeter wave frequency range was designed and simulated for a future fifth generation (5G) mobile-phone beam switching applications. The new proposed structure was composed of a bridge-shaped resonator (BSR) in the front face and strip line at the back face of the unit cell which operates at 28 GHz. First, non-reconfigurable low loss BSR unit cell was designed and subsequently, the reconfigurability was achieved using four switches formed in the gaps of the structure. The proposed structure achieves the lowest loss and almost full transmission among its counterparts by -0.06 dB (0.99 in linear scale). To demonstrate the reconfigurability of the metamaterial, the reflection and transmission coefficients and real parts of the effective refractive index at each reconfigured frequency were studied and investigated. Simulation results showed that a high transmission and reflection peaks occur at each resonance frequency according to change the state of the switches.
Volume: 7
Issue: 6
Page: 2942-2949
Publish at: 2017-12-01

Energy Saving in Pilger Mill Electric Drives Complete Solution

10.11591/ijpeds.v8.i4.pp1673-1681
Yuriy Usynin , Dmitry Sychev , Nikita Savosteenko
This paper considers issues related to increasing energy efficiency in electric drives of pilger rolling mills, presenting kinematics of such mills, provides justification for the general load chart, presents the detailed review of reference materials on technical energy saving solutions, and suggests a math model of an electric drive with a field regulated reluctance machine. The paper suggests key methods of saving energy in electric drives of pilger mills, namely: kinematic scheme improvement; main energy drainers and ways of energy loss reduction in electric drives with direct- and alternate-current motors, energy-saving electric drive control profiles. The article compares energy-saving resources in electric drives with various-type motors (direct-current motors, synchronous motors, and field regulated reluctance machine), clarifies the scheme of energy-saving resource implementation, provides the qualitative evaluation of electric drive control method efficiency. The accent is made on high energy efficiency of the proportionate control of armature and excitation circuits and across the range of torque in electric drives of abruptly-variable-load mills. The highest economic effect is reached in the electric drive with a field regulated reluctance machine – by means of implementing the energy-efficient electromechanical converter and applying energy-saving control profiles.
Volume: 8
Issue: 4
Page: 1673-1681
Publish at: 2017-12-01

Development of Non-Invasive Ultrasonic Measuring System for Monitoring Multiphase Flow in Liquid Media within Composite Pipeline

10.11591/ijece.v7i6.pp3076-3087
Mohd Fadzli Abd Shaib , Ruzairi Abd Rahim , S.Z.M. Muji
Process of conveying liquid substance via the pipeline is the most common practice of transferring the liquid from one point to another point. Composite pipeline is becoming an option for liquid conveying purposed (instead of PVC, acrylic or metal) for its durability, longer lifetime and non-corrosive material in comparison with current pipeline. In order to ensure, the conveying process has a smooth flow rate without particle or bubble disturbance that could hinder good process flow, non-invasive monitoring system is always required. The ultrasonic measuring system is one of the monitoring options that could be applied. With proper designed for transmitting and conditioning circuitry, 300 kHz ultrasonic frequencies are found as the optimal frequency needed to penetrate across the composite pipeline with full of liquid. The ultrasonic sensor response is being successfully differentiated between full flow (no material blockage) and with bulk material blockage (dry and wet sand).
Volume: 7
Issue: 6
Page: 3076-3087
Publish at: 2017-12-01

Practical Performance Evaluation of Maximum Power Point Tracking Algorithms in a Photovoltaic System

10.11591/ijpeds.v8.i4.pp1744-1755
Hassan Abouobaida , EL Beid Said
This paper addresses a performance evaluation of maximum power point tracking techniques (MPPT) in a photovoltaic system. This research work finds its applications in photovoltaic systems producing electric power with a better energy efficiency, which will lead to an improved relationship between the cost and the amount of the produced power. The importance of this work resides on the one hand in the evaluation of the performances of the different MPPTs according to three criteria instead of one or two criteria in other works of the literature and on the other hand in the study of Four algorithms in one paper and their comparisons. This paper discusses the performance evaluation of the MPPT algorithms called P&O, Inc-Cond, Hill-Climbing and Fuzzy algorithms based simulation results and practical validation. The performances of these algorithms are evaluated according to the following criteria: The response time, the amplitude of the oscillations around the optimal point and the accuracy. The objectives in this article are summarized in the following points: (a) modeling the photovoltaic systems, (b) presenting and detailing each MPPT algorithm (c) presenting and discussing the simulation results in Matlab/Simulink and practical validation (d) evaluating the performance of each algorithm. This paper is completed by a summary on the areas of use for each algorithm and conclusions.
Volume: 8
Issue: 4
Page: 1744-1755
Publish at: 2017-12-01

Network Reconfiguration of Primary Distribution System Using GWO Algorithm

10.11591/ijece.v7i6.pp3226-3234
A. V. Sudhakara Reddy , M. Damodar Reddy , M. Satish Kumar Reddy
This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This paper proposes a Grey Wolf Optimization (GWO) algorithm to solve the feeder reconfiguration problem through fitness function corresponding to optimum combination of switches in power distribution systems. The objective function is formulated to solve the reconfiguration problem which includes minimization of real power loss. A nature inspired Grey Wolf Optimization Algorithm is utilized to restructure the power distribution system and identify the optimal switches corresponding minimum power loss in the distribution network. The GWO technique has tested on standard IEEE 33-bus and 69-bus systems and the results are presented.
Volume: 7
Issue: 6
Page: 3226-3234
Publish at: 2017-12-01

Limited Data Speaker Verification: Fusion of Features

10.11591/ijece.v7i6.pp3344-3357
T. R. Jayanthi Kumari , H. S. Jayanna
The present work demonstrates experimental evaluation of speaker verification for different speech feature extraction techniques with the constraints of limited data (less than 15 seconds). The state-of-the-art speaker verification techniques provide good performance for sufficient data (greater than 1 minutes). It is a challenging task to develop techniques which perform well for speaker verification under limited data condition. In this work different features like Mel Frequency Cepstral Coefficients (MFCC), Linear Prediction Cepstral Coefficients (LPCC), Delta (4), Delta-Delta (44), Linear Prediction Residual (LPR) and Linear Prediction Residual Phase (LPRP) are considered. The performance of individual features is studied and for better verification performance, combination of these features is attempted. A comparative study is made between Gaussian mixture model (GMM) and GMM-universal background model (GMM-UBM) through experimental evaluation. The experiments are conducted using NIST-2003 database. The experimental results show that, the combination of features provides better performance compared to the individual features. Further GMM-UBM modeling gives reduced equal error rate (EER) as compared to GMM.
Volume: 7
Issue: 6
Page: 3344-3357
Publish at: 2017-12-01

Optimal Round Robin CPU Scheduling Algorithm Using Manhattan Distance

10.11591/ijece.v7i6.pp3664-3668
N. Srilatha , M. Sravani , Y. Divya
In Round Robin Scheduling the time quantum is fixed and then processes are scheduled such that no process get CPU time more than one time quantum in one go. The performance of Round robin CPU scheduling algorithm is entirely dependent on the time quantum selected. If time quantum is too large, the response time of the processes is too much which may not be tolerated in interactive environment. If time quantum is too small, it causes unnecessarily frequent context switch leading to more overheads resulting in less throughput. In this paper a method using Manhattan distance has been proposed that decides a quantum value. The computation of the time quantum value is done by the distance or difference between the highest burst time and lowest burst time. The experimental analysis also shows that this algorithm performs better than RR algorithm and by reducing number of context switches, reducing average waiting time and also the average turna round time.
Volume: 7
Issue: 6
Page: 3664-3668
Publish at: 2017-12-01

A Series Regeneration Converter Technique for Voltage Balancing of Energy Storage Devices

10.11591/ijeecs.v8.i2.pp475-481
A K M Ahasan Habib , S. M. A. Motakabber , Muhammad I. Ibrahimy
A single series resonant converter has been designed to balance the voltage level of a storage battery for electric vehicles. The proposed design has been simulated and verified by using two 100F supercapacitors instate of the conventional rechargeable battery. A voltage monitoring circuit detects the voltage condition of the individual capacitor and sends the voltage status to the control circuit for action. A technique has been developed to control a set of switches to transfer the current between the capacitor to balance the voltage level. The MATLAB simulated result shows the balancing circuit decreases the voltage difference between the two supercapacitors from 200 mV to 0V in 140 seconds, which is less than the existing methods. This fast voltage balancing technique can be used in the battery management system or electric vehicles for long lasting the battery life. Keywords: Voltage balancing; electric vehicles; supercapacitor; battery; series resonant converter
Volume: 8
Issue: 2
Page: 475-481
Publish at: 2017-11-01

Remotely Operated Submarine Vehicle Control Using Fuzzy Logic

10.11591/ijeecs.v8.i2.pp582-585
P. Palanichamy
Submerged marine investigation still remains a puzzle. The motivation behind this paper is to address the issues in plan and improvement of submerged vehicles with hindrance shirking and moving help for administrator in marine condition utilizing fluffy rationale controller. A symmetrical, practical and little measured submerged Remotely Operated Vehicle (ROV) with three thrusters is intended for testing control calculation and execution of framework. Kinematics of the ROV is produced relating rate of revolution of thrusters with ROV'S straight and precise increasing speed. A near investigation of the framework's reaction for basic if-else rationale and with fluffy rationale controller for route is made and assessed. A Graphical User Interface (GUI) with live bolster is given to the administrator to more extensive scope of visual perception of submerged condition and navigational guide.
Volume: 8
Issue: 2
Page: 582-585
Publish at: 2017-11-01
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