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25,002 Article Results

Wireless Sensor Networks Node Localization-A Performance Comparison of Shuffled Frog Leaping and Firefly Algorithm in LabVIEW

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1504
Chandirasekaran D , T. Jayabarathi
Wireless sensor networks (WSN) have become popular in many applications area including environmental monitoring, military and offshore oil & gas industries. In WSN the sensors are randomly deployed in the sensor field and hence estimation of the localization of each deployed node has drawn more attention by the recent researchers, It’s a unique problem to identify and maximizing the coverage where the sensors need to be placed in a position so that the sensing capability of the network is fully utilized to ensure high quality of service. In order to keep the cost of sensor networks to a minimum, the use of additional hardware like global positioning system (GPS) can be avoided by the use of effective algorithms that can be used for the same. In this paper we attempted to use both the shuffled frog leaping (SFLA) and firefly algorithms (FFA) to estimate the optimal location of randomly deployed sensors. The results were compared and published for the usefulness of further research. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7861
Volume: 14
Issue: 3
Page: 516-524
Publish at: 2015-06-01

Improved Rejection Penalty Algorithm with Multiprocessor Rejection Technique

10.11591/ijece.v5i3.pp477-482
Prativa Satpathy , Kalyan Das , Jagamohan Padhi
This paper deals with multiprocessor scheduling with rejection technique where each job is provided with processing time and a given penalty cost. If the job satisfies the acceptance condition, it will schedule in the least loaded identical parallel machine else job is rejected. In this way its penalty cost is calculated. Our objective is to minimize the makespan of the scheduled job and to minimize the sum of the penalties of rejected jobs. We have merged ‘CHOOSE ‘and ‘REJECTION PENALTY’ algorithm to reduce the sum of penalties cost and makespan. Our proposed ‘Improved Reject penalty algorithm’ reduce competitive ratio, which in turn enhances the efficiency of the on-line algorithm. By applying our new on-line technique, we got the lower bound of our algorithm is is 1.286 which is far better from the existing algorithms whose competitive ratio is at 1.819. In our approach we have consider non-preemption scheduling technique.
Volume: 5
Issue: 3
Page: 477-482
Publish at: 2015-06-01

A Modified Bridgeless Converter for SRM Drive with Reduced Ripple Current

10.11591/ijpeds.v6.i2.pp362-369
Maheswari C krishnakumar , Rani Thottungal , Divya A.C
Single Phase Switched Reluctance Motor is more popular in many industrial purposes for high speed applications because of its robust and rugged construction. For low cost and variable speed drive applications SRM are widely used.Due to doubly salient structure of motor, the torque pulsations are high when compared to other sinusoidal machines. The major drawback in using SRM drive is torque pulsations and increased number of switching components. In order to overcome these drawbacks, a bridgeless Single Ended Primary Inductor Converter (SEPIC) is proposed. The major advantages of this converter are continuous output current,smaller voltage ripple and reduced semiconductor current stress when compared to the conventional SEPIC converter. The ripple free input current is obtained by using additional winding of input inductor and auxiliary capacitors. To achieve high efficiency, active power factor correction circuits (PFC) are employed to precise the power factor. Further, the unity power factor can be obtained by making the input current during switching period proportional to the input voltage is proposed. The proposed system consists of reduced components and it is also capable of reducing the conduction losses. The working principles and the waveforms of proposed converter are analyzed. To analyze the circuit operation, theoretical analysis and simulation results are provided. Finally, the  comparison between the waveforms of conventional SEPIC and proposed system is presented by using MATLAB/Simulink tools.
Volume: 6
Issue: 2
Page: 362-369
Publish at: 2015-06-01

Investigations on Capacitor Compensation Topologies Effects of Different Inductive Coupling Links Configurations

10.11591/ijpeds.v6.i2.pp274-281
Norezmi Jamal , Shakir Saat , Y. Yusmarnita , Thoriq Zaid , A. A. M. Isa
This paper presents investigations on capacitor compensation topologies with different inductive coupling links for loosely coupled inductive power transfer (IPT) system. In general, the main constraint of the loosely coupled IPT system is power losses due to the large leakage inductances. Therefore, to overcome the aforementioned problem, in this work, capacitor compensation is proposed to be used by adding an external capacitor to the system. By using this approach, the resonant inductive coupling can be achieved efficiently and hence the efficiency of the system is also increased significantly. This paper analyzes the performance of two different compensation topologies, which are primary series-secondary series (SS) and primary series- secondary parallel (SP) topology. The performance of such topologies is evaluated through the experimental results at 1MHz operating frequency for different types of inductive coupling. From the results, SS topology produces a high power transfer but SP topology gives better efficiency.
Volume: 6
Issue: 2
Page: 274-281
Publish at: 2015-06-01

Automatic Modulation Recognition for MFSK Using Modified Covariance Method

10.11591/ijece.v5i3.pp429-435
Hanan M.Hamee , Jafer Wadi
This paper presents modulation classification method capable of classifyingMFSK digital signals without a priori information using modified covariancemethod. This method using for calculation features for FSK modulationshould have a good properties of sensitive with FSK modulation index andinsensitive with signal to noise ratio SNR variation. The numericalsimulations and investigation of the performance by the support vectorsmachine one against all (SVM-OAA) as a classifier for classifying 6 digitallymodulated signals which gives probability of correction classification up to85.85 at SNR=-15dB.
Volume: 5
Issue: 3
Page: 429-435
Publish at: 2015-06-01

Fingerprint Authentication Schemes for Mobile Devices

10.11591/ijece.v5i3.pp579-585
Jinho Han
In certain applications, fingerprint authentication systems require templates to be stored in databases. The possible leakage of these fingerprint templates can lead to serious security and privacy threats. Therefore, with the frequent use of fingerprint authentication on mobile devices, it has become increasingly important to keep fingerprint data safe. Due to rapid developments in optical equipment, biometric systems are now able to gain the same biometric images repeatedly, so strong features can be selected with precision. Strong features refer to high-quality features which can be easily distinguished from other features in biometric raw images. In this paper, we introduce an algorithm that identifies these strong features with certain probability from a given fingerprint image. Once values are extracted from these features, they are used as the authentication data. Using the geometric information of these strong features, a cancelable fingerprint template can be produced, and the process of extracting values and geometric information is further explained. Because this is a light-weight authentication scheme, this template has practical usage for low performance mobile devices. Finally, we demonstrate that our proposed schemes are secure and that the user’s biometric raw data of the fingerprint are safe, even when the mobile device is lost or stolen.
Volume: 5
Issue: 3
Page: 579-585
Publish at: 2015-06-01

Power Factor Correction in Two Leg Inverter Fed BLDC Drive Using Cuk Dc-Dc Converter

10.11591/ijpeds.v6.i2.pp196-204
A. Purna Chandra Rao , Y.P. Obulesh , Ch. Sai Babu
Earlier for variable speed application conventional motors were used, but these motors have poor characteristics. These drawbacks were overcome by brushless Dc motor drive. Now days in most of the applications such as industrial, domestic, aerospace, defense, medical and traction etc, brushless DC motor (BLDCM) is popular for its high efficiency, high torque to weight ratio, small size, and high reliability, ease of control and low maintenance etc. BLDC motor is a electronic commutator driven drive i.e. it uses a three-phase voltage source inverter for its operation, electronic devices means there is a problem of poor power quality, more torque ripple and speed fluctuations. This paper deals with the CUK converter two leg inverter fed BLDCM drive in closed loop operation. The proposed control strategy on CUK converter two leg inverter fed BLDCM drive with split DC source is modeled and implemented using MATLAB / Simulink. The proposed method improves the efficiency of the drive system with Power factor correction feature in wide range of the speed control, less torque ripple and smooth speed control.
Volume: 6
Issue: 2
Page: 196-204
Publish at: 2015-06-01

Modelling Electronic Characteristic of InP/InGaAs Double Heterojunction Bipolar Transistor

10.11591/ijece.v5i3.pp525-530
Berrichi Yamina , Ghaffour Kherreddine
In this paper, we are interested in studying InP/InGaAs heterojunction bipolar transistor NPN type. First and for most we should describe the structure of our simulation, then, we ploted at room temperature: Energy band diagram, Gummel plot, IC-VC characteristic and conduction bands for different values of VBE.  The simulation of this structure has demonstrated the validity of our model and the method of the simulation.
Volume: 5
Issue: 3
Page: 525-530
Publish at: 2015-06-01

Convergence Parameter Analysis for Different Metaheuristic Methods Control Constant Estimation and it’s Tradeoff Inference

10.11591/ijpeds.v6.i2.pp404-414
R. Sagayaraj , S. Thangavel
This paper is an extension of our previous work, which discussed the difficulty in implementing different methods of resistance emulation techniques on the hardware due to its control constant estimation delay. In order to get rid of the delay this paper attempts to include the meta-heuristic methods for the control constants of the controller. To achieve the minimum Total Harmonic Disturbance (THD) in the AC side of the converter modern meta-heuristic methods are compared with the traditional methods. The convergence parameters, which are primary for the earlier estimation of the control constants, are compared with the measured parameters, tabulated and tradeoff inference is done among the methods. This kind of implementation does not need the mathematical model of the system under study for finding the control constants. The parameters considered for estimation are population size, maximum number of epochs, and global best solution of the control constants, best THD value and execution time. MatlabTM /Simulink based simulation is optimized with the M-file based optimization techniques like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo Search Algorithm, Gravity Search Algorithm, Harmony Search Algorithm and Bat Algorithm.
Volume: 6
Issue: 2
Page: 404-414
Publish at: 2015-06-01

Probabilistic Road-Aware Geocast In VANETs

10.11591/ijece.v5i3.pp599-610
Zubair Amjad , Wang-Cheol Song
Geocast is a communication technique to disseminate information in specific geographic regions instead of node addresses. Traffic congestion, accidents, local hazards and digital content sharing are potential use cases of information sharing in VANETs. Recently, several approaches for geocast routing have been proposed to achieve high delivery ratios. These approaches consider a center point and radius to define the destination region also called geocast region. They focus only on routing scheme to enhance the delivery ratio and delays. However, these approaches do not consider the target region selection problem in the geocast routing. In this paper, we propose a novel application-level mechanism for sharing road conditions, such as accidents, detours and congestion in VANETs through probabilistic road-aware geocast routing. We assign probabilities to the roads around each intersection in the neighborhood road network of the source vehicle. We then build a spanning tree of roads (from graph representation of the road network) with information source as the root node. Nodes below the root represent junctions and edges represent inter-connecting road segments. Messages propagate along the branches of the spanning tree. The spanning tree represents the geocast region. As the information propagates down the branches, probability of road as geocast region decreases. Information is propagated until a threshold probability is reached. Our method also ensures that messages are not delivered to irrelevant vehicles irrespective of their proximity to the source. We evaluate our application through extensive and realistic simulations in ns-3 simulator using IDM car following and MOBIL lane change models for realistic modeling of vehicle mobility.
Volume: 5
Issue: 3
Page: 599-610
Publish at: 2015-06-01

Supply Power Factor Improvement in Ozone Generator System Using Active Power Factor Correction Converter

10.11591/ijpeds.v6.i2.pp326-336
G. Udhayakumar , Rashmi M R , K. Patel , G.P. Ramesh , Suresh A
Artificial Ozone Generating system needs High Voltage, High Frequency supply. The Ozonator distorts the supply currents and henceforth affect the supply power factor. This paper presents the performance comparison of PWM inverter to Power Factor Corrected (PFC) converter with PWM inverter based High-voltage High-frequency power supply for ozone generator system. The conventional inverter has front end bridge rectifier with smoothing capacitor. It draws non-sinusoidal current from ac mains; as a result input supply has more harmonics and poor power factor. Hence, there is a continuous need for power factor improvement and reduction of line current harmonics.  The proposed system has active power factor correction converter which is used to achieve sinusoidal current and improve the supply power factor. The active PFC converter with PWM inverter fed ozone generator generates more ozone output compared to the conventional inverter. Thus the proposed system has less current harmonics and better input power factor compared to the conventional system.  The performance of the both inverters are compared and analyzed with the help of simulation results presented in this paper.
Volume: 6
Issue: 2
Page: 326-336
Publish at: 2015-06-01

An Efficient High Gain DC-DC Converter for Automotive Applications

10.11591/ijpeds.v6.i2.pp242-252
Aiswarya T.M. , M. Prabhakar
This paper presents a high gain DC-DC converter which uses a clamp circuit to achieve soft switching. The proposed converter is designed to supply a high intensity discharge (HID) lamp used in automobile head lamps. The converter operates from a 12V input supply and provides an output voltage of 120V at 35W output power. A clamp circuit consisting of a clamp capacitor, clamp switch and resonant inductor will help to achieve zero voltage switching (ZVS) of the both main and clamp switches. The practical performance of the converter was validated through experimental results. Results obtained from the prototype hardware prove that the converter meets the requirements of HID lamp application and can be a very good alternative to existing converters.
Volume: 6
Issue: 2
Page: 242-252
Publish at: 2015-06-01

Mathematical Model of Linear Switched Reluctance Motor with Mutual Inductance Consideration

10.11591/ijpeds.v6.i2.pp225-232
Nikolay Grebennikov , Alexander Kireev , Nikolay Kozhemyaka
This paper presents developing an mathematical model for linear switched reluctance motor (LSRM) with account of the mutual inductance between the phases. Mutual interaction between the phases of LSRM gives the positive effect, as a rule the power of the machine is increased by 5-15%.
Volume: 6
Issue: 2
Page: 225-232
Publish at: 2015-06-01

Evaluation of Noise Exclusion of Medical Images Using Hybridization of Particle Swarm Optimization and Bivariate Shrinkage Methods

10.11591/ijece.v5i3.pp421-428
Shruti Bhargava , Ajay Somkuwar
Denoising of images got corrupted by addition of noise signals (generated by no single reason) has always a subject of interest for researchers. This paper proposes and classifies the efficiency of an algorithm based on bivariate shrinkage further optimized by Particle Swarm Optimization (PSO).The estimator for undecimatedfilterbank which incorporate the adaptive subbands thresholding further represented with singal threshold based on denosing performs.The paper evaluate performance of medical image denoising by calculation of PSNR, MSE, WPSNR and SSIM. The simulation results based on testing the model at MATLAB 2010A platform shows significant enhancement in mitigation of Gaussian noise, speckle noise, poisson noise and salt & pepper noises from experimental data
Volume: 5
Issue: 3
Page: 421-428
Publish at: 2015-06-01

Toward Content-Aware Video Partitioning Methods for Distributed HEVC Video Encoding

10.11591/ijece.v5i3.pp569-578
Myunghoon Jeon , Byoung-Dai Lee
Recently, cloud computing has emerged as a potential platform for distributed video encoding due to its advantages in terms of costs as well as performance. For distributed video encoding, the input video must be partitioned into several segments, each of which is processed over distributed resources. This paper describes the effect of different video partitioning schemes on overall encoding performance in the distributed encoding of High-Efficiency Video Coding (HEVC). In addition, we explored performances of video partitioning schemes on the basis of the types of the content to be encoded
Volume: 5
Issue: 3
Page: 569-578
Publish at: 2015-06-01
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