MVSR Engineering College

Hyderabad, India

MVSR Engineering College

Hyderabad, India
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Kukunuru N.,MVSR Engineering College
ARPN Journal of Engineering and Applied Sciences | Year: 2017

Wireless Sensor Networks (WSNs) consists of arbitrarily placed tiny sensors which monitor the target field. Every location of the target field is said to be with at least one sensor. The sensors must be deployed in such a way that every sensor is efficiently used to monitor the target field with less coverage loss. Glow worm Swarm Optimization (GSO) technique is swarm intelligence based technique, which depends on the behaviour of glow worms (also called as lightning bugs or fireflies). In sensor node deployment optimization, GSO performs very well in terms of coverage and is used to achieve greater coverage with less sensor nodes in the network. The solutions obtained by hybrid approach which is based on GSO and Bioluminescent Swarm Optimization (BiSO) are better than the best solutions obtained by an efficient Glow worm Swarm optimizer alone. This approach is a free from differential equations and is a very efficient evolutionary algorithm. Non-Stochastic adaptive step-size movement strategy is implemented which is derived from GSO and BiSO. On the basis of considering dynamic deployment in WSNs, simulation results show that the hybrid approach yields greater coverage than the existing GSO technique. © 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved.

Pagare R.,Pacific University at Udaipur | Khare A.,MVSR Engineering College
International Conference on Computing, Analytics and Security Trends, CAST 2016 | Year: 2017

The rapid growth of telecommunication industry has also elevated the growth of social network resulting in more number of people connected to each other. Social network is a platform where people share their views with each other, which leads to influencing one another for buying a product, stop using any particular service etc. A user who stops using a service is a churn user and the process to stop using a particular service is called churning. The existing work on churn prediction does not consider the social aspect of the customers. In this paper we propose to use social network information of the customers along with their call log details to predict the churn users. The set of most influential nodes is predicted by using the social network data, these predicted churn users may be the one who may influence the others to stop using a service. A proper retention policy if applied to these customers, can prevent the customers from churning a service. The experimentation was done by using Pokec social network data and generating synthetic call log details of these social network users. It was observed that the accuracy of churn prediction is improved when combining social network and call log information of the users for churn prediction. © 2016 IEEE.

Naga Lakshmi E.V.,MVSR Engineering College
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2016

Recent years Reversible Logic Gates are proved to be more efficient in terms of Power dissipatio Hence for low power applications RLG circuits are developed by most of the researchers. All Reversible Logic Gates were compared with quantum cost, Garbage outputs and Garbage inputs, but power measurement for all these gates have not been done though it was the most important parameter for low power applications. This paper presents power analysis of proposed reversible full subtractor. Measurement of power for the proposed reversible gate based 1 bit full subtractor and conventional irreversible 1 bit full subtractor has been done by using Microwind tool and observed that reversible circuits consume less power when compared to conventional one. Then 2bit, 4 bit, 8 bit and 16 bit subtractors were designed. Compared to the conventional 8 bit parallel subtractor reversible 8 bit full subtractor dissipates 73.99% less power.

Ravindar Reddy M.,MVSR Engineering College | Subrahmanyam A.R.,MVSR Engineering College | Maheshwar Reddy M.,Sreenidhi Institute of Science and Technology | Siva Kumar J.,Osmania University | And 2 more authors.
Materials Today: Proceedings | Year: 2016

Poly (methylmetacrylate)-Poly(ethylene oxide) (PMMA-PEO) polymers blend films were prepared using the solution casting method. The polymer thin films were characterized by X-ray difraction (XRD), Scanning Electron Microscopy (SEM), FTIR and differential scanning calorimetry (DSC) technique. The amorphous or crystalline nature of polymers has been confirmed by XRD analysis. The PMMA surface morphology shows rough surface and micro pore structure. Appearance of rough surface in SEM micrograph of pure PEO was suggested several crystalline domains. The surface morphology changes severely when PEO added to PMMA polymer, which shows the development of surface morphology from smooth to rough with increasing of PEO concentration in PMMA. FT-IR data shows that some of the bands found to be shifted and intensities of some of the bands are decreased and some are disappeared with the addition of PEO to PMMA when compared to pure PMMA and PEO, which suggests the coordination/ interaction between PMMA and PEO matrixes. DSC results showed that the melting temperatures (Tm) of PMMA and PEO blend decreases when compared to pure PEO, PMMA. © 2016 Elsevier Ltd. All rights reserved.

Alakanandana A.,G Narayanamma Institute Of Technology And Science | Subrahmanyam A.R.,MVSR Engineering College | Siva Kumar J.,Osmania University
Materials Today: Proceedings | Year: 2016

An ion conducting polymer electrolyte based on poly (vinyl alcohol) PVA complexed with Succinic acid is prepared using solution cast technique. The structural properties of PVA and complexed electrolytes are studied using XRD and FTIR techniques. The results of XRD reveal that with the increase of Succinic acid concentration, the amorphous nature of PVA Polymer matrix increases. FTIR spectra studies for pure and complexed electrolytes reveal the vibrational changes that occur due to the effect of dopant in the polymer. The dc conductivity of these composite electrolytes has been studied. The dc conductivity of PVA is found to be increasing as the concentration of Succinic acid increases. © 2016 Elsevier Ltd. All rights reserved.

Satyanarayana B.,VNR Vignana Jyothi Institute of Engineering and Technology | Ranga Janardhana G.,Jawaharlal Nehru Technological University Anantapur | Hanumantha Rao D.,MVSR Engineering College
Indian Journal of Engineering and Materials Sciences | Year: 2013

Inconel 718, a Nickel based super alloy which has wide applications in aerospace industry particularly in the hot sections of gas turbine engines due to their high temperature strength and corrosion resistance. It is known as being among the most difficult-to-cut materials. This paper presents an optimum process parameters (speed, feed and depth of cut) to minimize the cutting force, surface roughness and tool flank wear together in CNC high speed dry turning of Inconel 718 using Taguchi method based Grey relational analysis. The study involved nine experiments based on Taguchi orthogonal array and the result indicates that the optimal process parameters are 60 m/min for speed, 0.05 mm/rev for feed and 0.2 mm for depth of cut from the selected range. Also the significant process parameters have been found out for the above process optimization by performing ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method.

Ponnapalli M.,MVSR Engineering College | Rao P.V.R.R.B.,Indian Defence Research And Development Laboratory
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016

A real-time system should operate correctly within deadlines. A failure in response will lead to loss of human life or a big damage to the property. The systems are sometimes considered only mission critical, with mission being very expensive. A Mission Critical System needs study real time software which is highly complex and is vital for the success of the mission. The mission capability depends on this software and proves catastrophic in case of any failure. The software design of real-time system is very complex. To keep in pace with today's modern computing technology the real-time software should adopt new software design methodologies. This paper brings out a comparison of various design methodologies that has evolved over time. The shortcomings of each method to satisfy the requirements of real-time system and the need for a generalized approach as Design patterns. © 2016 IEEE.

Parmar K.P.S.,National Power Training Institute | Majhi S.,Indian Institute of Technology Guwahati | Kothari D.P.,MVSR Engineering College | Kothari D.P.,Indian Institute of Technology Delhi
International Journal of Electrical Power and Energy Systems | Year: 2014

In this paper, an interconnected power system with multi-source power generation is proposed for load frequency control (LFC) in deregulated power environment. Keeping in view the new power environment, modified LFC scheme is proposed in deregulated environment for multi-source combination of hydro, reheat thermal and gas generating units in each control area. Optimal output feedback controller with pragmatic viewpoint is presented which uses less number of state variables for feedback as measurement of all of the state variables of a large system is impossible in the real world. The proposed controller incorporates all possible power transactions taking place in a deregulated power market. An extensive analysis is done for LFC and it is found that dynamic responses obtained satisfy the LFC requirements in deregulated power environment. © 2013 Elsevier Ltd. All rights reserved.

Durga Prasad P.V.,MVSR Engineering College | Gupta A.V.S.S.K.S.,JNTUH College of Engineering
International Communications in Heat and Mass Transfer | Year: 2016

An investigation is made experimentally with an attempt to enhance the rate of heat transfer of Al2O3 nanofluid in a U-tube heat exchanger with twisted tape insert. The heat transfer coefficients and the corresponding friction factors needed for performance analysis are determined at variable operating conditions of the heat exchangers with particle volume concentration of 0.01% and 0.03% and twist ratios ranging between 5 and 20. Experimental data are obtained at flow rates ranging from 0.0333 to 0.2667 kg/s and Reynolds number ranging from 3000 to 30,000. The Nusselt number of entire pipes for 0.03% concentrations of nanofluid with twisted tape inserts is enhanced by 31.28% compared to water while the friction factor is increased by 1.23 times compared to water with twisted tape insert of H/D = 5. Correlations are developed to estimate the Nusselt number and friction factor. The results of the investigation indicated significant improvement in the performance parameters of the heat exchanger with a rise in volume concentration of the nanoparticle. © 2016 Elsevier Ltd.

Saravanan B.,Vellore Institute of Technology | Vasudevan E.R.,Vellore Institute of Technology | Kothari D.P.,MVSR Engineering College
International Journal of Electrical Power and Energy Systems | Year: 2014

The evolutionary algorithm of invasive weed optimization algorithm popularly known as the IWO has been used in this paper, to solve the unit commitment (UC) problem. This integer coded algorithm is based on the colonizing behavior of weed plants and has been developed to minimize the total generation cost over a scheduled time period while adhering to several constraints such as generation limits, meeting load demand, spinning reserves and minimum up and down time. The minimum up/down time constraints have been coded in a direct manner without using the penalty function method. The proposed algorithm was tested and validated using 10 units and 24 h system. The most important merit of the proposed methodology is high accuracy and good convergence speed as it is a derivative free algorithm. The simulation results of the proposed algorithm have been compared with the results of other tested algorithms for UC such as shuffled frog leaping, particle swarm optimization, genetic algorithm and Lagrangian relaxation and bacterial foraging algorithm. © 2013 Elsevier Ltd. All rights reserved.

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