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Thiruvananthapuram, India

Pandu Ranga Reddy G.,G.P.C.E.T | Vijaya Kumar M.,JNTUCE
Journal of Electrical Engineering

Renewable energy is catching people's attention with increasing global energy consumption and noticeable environmental pollution across the globe. Wind energy is the one of the most available and exploitable forms of renewable energy. Winds blow from a region of higher atmospheric pressure to one of lower atmospheric pressure. In variablespeed wind turbines grid synchronization is possible at any operational speed. For this, it is necessary to operate the converter station with effective modulation technique. This paper presents the analysis of variable speed wind energy conversion system employing double fed induction generator with SPWM and SVPWM type converters. The MATLAB/SIMULINK software is used for simulating the models. Source

Satyanarayan D.,RGMECT | Giri Prasad M.N.,JNTUCE
Journal of Theoretical and Applied Information Technology

The presented paper discusses and presents the analytical as well as simulated performance analysis allied with network connectivity and key problems of network coverage in Wireless Sensor Networks (WSN). The issue of network connectivity may be considered as one of the most significant problem in wireless network. The connectivity issue or coverage problem significantly influences the network capability and overall network efficiency. In the presented paper, we propose a research work oriented towards computation of node isolation probability and to perform analysis of network connectivity in the presence randomness in channel behavior, while considering of fading effects like Rayleigh fading of thresholdbased hybrid selection/maximal-ratio combining (T-HS/MRC). In this paper, the analysis of selection combining has been done while considering the independent communication paths and even with correlated paths. On the basis of predetermined normalized threshold parameter a T-HS/MRC combiner selects the combined branches and it finds the potency of the instant signal-to-noise ratio (SNR) of individual network branch. Consequently, the number of combined branches is always a random variable, to a certain extent than a predetermined number, as in conformist hybrid selection mechanism/ maximal-ratio combining (HS/ MRC) technique. The present analytical and simulated work motivates to design more practical and reliable system. © 2005 - 2014 JATIT & LLS. All rights reserved. Source

Sreenivasulu U.,M.I.T.S | Giriprasad M.N.,JNTUCE
Journal of Theoretical and Applied Information Technology

The exponential growth observed in the arena of wireless access technologies predominantly in the IEEE 802.16 networks put forth’s a large overhead in the uplink scheduling schemes particularly when rendering real time services. This paper introduces an evolutionary computation based uplink scheduling scheme (ESS) with Quality of Service (QoS) gurantee. A service threshold time is introduced in the ESS scheme to meet the QoS requirements and it determines the adaptive weights assigned to the service. The base station based on the weights ascertains the modulation scheme required to evade QoS violation and constructs the scheduling set. In addition of the adaptive weights the channel interference parameters is also considered to construct the scheduling set. The scheduling set is optimized to achieve the desired QoS parameters utilizing evolutionary computation techniques. The performance of ESS scheduling scheme is evaluated and the results obtained not only prove higher slot success rates, higher system throughput but also prove its QoS provisioning competence and its efficiency over an existing scheduling scheme. © 2005 - 2016 JATIT & LLS. All rights reserved. Source

Narasimhamu K.L.,AITS | Venugopal Reddy V.,JNTUCE | Rao C.S.,National Institute of Technology Warangal
International Review on Modelling and Simulations

In this paper, we present heuristic approach to optimize buffer allocation in manufacturing system with tandem, split and merge topologies. Finite Closed queuing network approach is used to represent manufacturing systems. An attempt is made to find near optimal buffer allocation to minimize cost function in unlimited space buffer allocation problem. Expanded Mean Value Analysis is used to evaluate the objective function of closed queuing network. Particle Swarm Optimization is used as generative technique to optimize the buffer allocation. Numerical experiments are shown to explain the effectiveness of procedure. © 2015 Praise Worthy Prize S.r.l.-All rights reserved. Source

Gopal N.R.,BEC | Satyanarayana S.V.,JNTUCE

The single-objective optimization study by Satyanarayana and Bhattacharya (2003) [1] on removal of volatile organics from aqueous solution by single stage pervaporation without recycling has been extended by treating it as a multi-objective optimization problem. The various costs of the process namely-initial capital cost, feed pumping cost, vacuum and condensation cost and membrane replacement cost constitute the objective functions. The present work attempts to explore the pervaporation process economics by employing artificial intelligence method of non-dominated sorting genetic algorithm-II (NSGA-II). The cost of feed pumping offers significant trade-off with the costs of initial capital or vacuum and condensation. Although to a lesser extent, the trade-offs are also available between the costs of initial capital and vacuum and condensation. The results from this study clearly establish that the major costs for removal of volatile organics from water are feed pumping, initial capital, and vacuum and condensation. © 2011 Elsevier B.V. Source

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