IJETER | International Journal of Emerging Technologies in Engineering Research (IJETER)

Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)


Volume 1, Issue 3, August (2015)

S.No Tile & Authors Full Text
1 A Novel Study on Implementation of Adaptive Filtering using Normalized LMS with Diffferent Targets
Sunita Rani, Supriya
Abstract – This paper proposes a study on adaptive filtering response using normalized LMS (Least mean square) algorithm. NLMS algorithm has low computational complexity and good convergence speed. It has minimum steady state error. Here it uses three different target filters FIR, IIR and multiband Equi-ripple filters. Also covers the effects of stationary signals on the performance of adaptive filters. A detail study of this filter is done by taking into account different cases. The effects of changes in parameters were noted within a specific filter and later a comparison between the filters was done. Noise variance was another factor that was considered to learn its effect. Also parameters of adaptive filter, such as step size and filter order, were varied to study their effect on performance of adaptive filters. The results achieved through these test cases are discussed in detail and will help in better understanding of adaptive filters with respect to signal type, noise variance and filter parameters. The first test led us to conclude the step size increases the convergence speed of a filter from transient to steady state but at the same time increase the error variation in the steady state.
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2 Design and Implementation of Closed Loop Efficient Routing with Distance Optimization in Optical Networks
Sandeep Kumar, Vikram Bhambhu
Abstract – This paper proposes an efficient closed loop routing in optical networks. It also proposes distance optimization by genetic approach subject to requirements of fairness, efficiency, and cost. It proposes a network design problem for the traffic grooming and routing in WDM networks. Moreover, effective ways to improve its performance and reduce its complexity are provided. In this work, it is concentrated on the effects of bandwidth, delay and bit error rate. This work deliberates the development in blocking probably for incoming requests while performing routing by proposed algorithm and shortest path algorithm. Used prior to network operation, the algorithm determines which route should be used for each potential connection. Moreover, since the routes provided by the genetic algorithm are stored in routing tables, it also ensures extremely fast on-line network operation. Shortest path can be calculated for any number of nodes. A number of important parameters like transmission distance, noise power, optical signal to noise ratio, channel load, bit error rate and packet delay have been calculated. The proposed algorithm is a dynamic algorithm and in it is easy to exploit present and alternate solution, each time a fittest path is calculated.
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3 Design and Implementation of Compensated Frame Prediction & Reconstruction
Monika, Supriya
Abstract – In image and video processing, the estimation of motion plays a vital role in video compression as well as multi-frame image enhancement. Disparate as they may seem, these many applications share one common thread in all such applications, the demand is high for accurate estimates of motion requiring minimal computational cost. This paper presents compensated motion frames prediction and detection using pattern similarity technique. The proposed technique decreases the computation time. This paper uses a technique of pattern similarity based on block based and pixel based approach. In this, various image processing operations are used for frames prediction and its reconstruction. In this, it detects the motion in real time images. An enhancement technique is used for improving the contrast of an image with high value of PSNR. The PSNR values of proposed method are also better than actual one. Also computational time of proposed technique is better than the three step and four step search technique. All simulations are done in MATLAB.
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4 Solar Powered Z-Source Neutral Point Clamped Five Level Inverter Performance Analysis by Using SPWM and SVPWM technique
M.Anand, S.Manivannan
Abstract – The Scope of this paper is to reduce the harmonic content and to boost the output voltage by introducing an emerging technique termed as Z-Source multilevel inverter. The Z-Source inverter had overcome many drawbacks in traditional inverters (Voltage source & Current source Inverters).The main advantage of Z- Source inverter is the presence of shoot through period (Short circuit) which plays a important role in boosting the voltage .When the number of level in the output voltage of multilevel inverter is increased then accordingly the harmonics content is also reduced. Normally for a multilevel inverter the output voltage is restricted to summation of all the input voltage values .To enhance this feature Z-Source is introduced with multilevel inverter to obtain boosted voltage along with low harmonic distortion .The proposed methodology analysis the Z-Source Neutral point clamped inverter using Space vector modulation technique with MATLAB Simulink model and the related parameters are analyzed.
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5 Speed Control of Brushless DC Motor Drives Based on Cuckoo Search Optimization Technique
M.Simon Darsingh, M. Jackulin Subi
Abstract – Permanent magnet brushless DC (PMBLDC) motors find wide applications in industries due to their high power density and ease of control. To achieve desired level of performance the motor requires suitable speed controllers. Speed control is achieved by using conventional PI controller, PID controller and intelligent techniques such as Fuzzy controller and Adaptive Neuro Fuzzy Inference System (ANFIS). This project presents an optimized speed control technique for speed control of a BLDC motor drive system. Cuckoo search optimization technique is implemented and used to tune the PI gains of the controller. For the purpose of comparison, various other conventional and intelligent techniques are considered. From the simulation results, it is inferred that Cuckoo search offers an improvement in the quality of the speed response, reduced undershoot and overshoot problems and set point tracking performances as compared to other techniques.
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6 By-Passing Infected Areas in Wireless Sensor Networks using Twin Rolling Ball Technique
Kiran Kamati, Dr.Santosh Deshapande
Abstract – The hardware failure, software corruption and unfavorable operating environment among the different nodes in wireless sensor network that can affect quality of collected data This resulting in misleading packet translation, wrong decision making and communication failure. The sensed data from other uninfected region might also get stuck in infected regions. There is some existing method such as BOUNDHOLE and GAR (Greedy Anti-Void Routing) can used to solve these issues but it degrades the performance mainly due to high risk of falling into loop and visiting unnecessary nodes. In this proposed solution we use twin rolling ball method to divert the incoming traffic from infected region and get stuck packet out of infected region. Fuzzy data clustering is used in proposed solution in order to find the infected nodes. The information obtained from fuzzy data clustering is used in proposed By-passed Routing (BPR) technique which use the two rolling balls rotate in both clockwise and counter clockwise direction. The first node hit by any ball in any direction and is uninfected, is selected as next hop.
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