Anurag Group of Institutions

Ghatkesar, India

Anurag Group of Institutions

Ghatkesar, India
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Madhav G.V.,Anurag Group of Institutions | Obulesu Y.P.,Koneru Lakshmaiah College of Engineering
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2017

The Direct Power Contro; has many advantages like it avoids the usage of integration of PWM voltages which leads to stable operation even at zero rotor frequency, it is position sensor less and hence will not depend on machine parameters like stator or rotor resistance. In case of network unbalance, if the system is operated with constant active and reactive powers, it leads to oscillations in the electromagnetic torque and currents exchange with the grid will become non- sinusoidal, which is not good for the system as it increases the mechanical stress. In this paper, both the rotor connected converter and grid connected converter are fed with DPC strategy along with that a Torque Oscillations Cancellation scheme is applied to RSC and Proportional Integral control based power references generation strategy without calculating the sequence components and with elimination of DC bus voltage oscillations is applied to stator-side converter in order to achieve non-oscillating torque accompanied by quality improved current exchange with the grid. The simulation results of Doubly Fed Induction Generator with and without fault clearly shows that the performance of the proposed scheme is validated. © 2017 Institute of Advanced Engineering and Science. All rights reserved.


Sridevi M.,Anurag Group of Institutions | Rao R.R.,Jawaharlal Nehru Technological University Kakinada
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

The emergence of web had a profound impact on personalized Recommender systems. They empower most of the popular e-commerce websites by changing the way the users communicate with the websites. Despite the available of popular recommendation techniques like Content based and Collaborative filtering which have been successful in implementing satisfactory systems, they still have some downsides. One of the most notable issue is to generate efficient recommendations when there is sparsity of data. Aimed to address the issue to some extent, this paper proposes a framework that integrates the collaborative filtering features and clustering techniques. Items and Users are clustered separately using similarity techniques from which a user is promoted as an expert from each user group based on the user whose profile is more concentrated on a particular class of items. The proposed method aims in delivering accurate recommendations by considering the experts opinion when there is sparsity of data.


Babu M.S.P.,Andhra University | Govathoti S.,Anurag Group of Institutions
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS | Year: 2017

Ontology database is a most comprehensive data base application that collects the related information from multiple data sources about any topic. Allowing multiple data sources into the database involves collection of irrelevant and redundant data. It leads to high memory utilization and more processing time. The user may be able to access the relevant data using appropriate software tools. In this paper a new Semantic model ontology Database Architectural framework is proposed to implement the Ontology databases efficiently. The proposed work actually concentrates on RDF-ization for converting the XML Records to RDF Records, so that the entire data can be stored into a triple store database. For efficient storage, triple store uses vertical partitioning algorithm for storing data in searchable format. It converts the entire data into indexes and keywords. Meta Search Engine Algorithm is used to retrieve the required result. It separates the fake data and original data and enables the user to access the data effectively. © 2016 IEEE.


Rao A.N.,Aacharya Nagarjuna University | Naik L.S.,Anurag Group of Institutions | Srinivas C.,RVRJC Engineering College
Materials Today: Proceedings | Year: 2017

Friction stir welding has been studied intensively in recent years due to its importance in Automobile industrial applications. The majority of these studies have been based on butt joint configuration. In my present research work and Evaluation, Cu 2200 copper alloys are welded by friction stir welding.The aim of this work determine the feasibility to weld two pieces of Copper Plates by friction stir welding process and study the effect on the mechanical and physical properties of welding joints. These geometries are used extensively in aerospace vehicles, in nautical vessels, pressure vessels, and automobile industries and not widely used because of its poor weldebility. To overcome this barrier, weldebility analysis of Cu 2200 copper alloys with high speed steel H13 tool has been investigated. An attempt has been made to investigate and evaluate the influence of the rotational speed of the tools, the axial force and welding speed on tensile strength of Cu 2200 copper alloys joint. The experiments were conducted on a Vertical milling machine. The main focus of investigation is to determine good tensile strength. Response surface methodology is chosen to design the optimum welding parameters leading to maximum tensile strength. The result shows that axial force increases, tensile strength decreases. Whereas tool rotational speed and welding speed increase, tensile strength increases. © 2017 Elsevier Ltd. All rights reserved.


Samreen S.,Anurag Group of Institutions
International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT 2016 | Year: 2017

The design of a trust management framework in a mobile ad hoc network and its various components to protect against different attacks has a significant impact upon the performance of the secure routing protocol which is meant to form the most reliable route for data delivery. Specifically, the current work focuses upon the impact of certain parameters specific to two components within the proposed trust management framework called as DTFilter and RecommFilter component. The details of the design of trust management framework and the working of its different components to provide robustness to different attacks have been covered in our earlier works which also describe the design of Path Allegiance Metric (PAM) based routing protocol that leverages upon the trust management framework. In the current paper, the impact of DTFilter and RecommFilter components upon the performance of Path Allegiance Metric based routing protocol is presented in the form of detailed analysis through simulations. © 2016 IEEE.


Shailaja K.,Anurag Group of Institutions | Anuradha B.,Anurag Group of Institutions
2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 | Year: 2017

Linear Discriminant Regression Classification (LDRC) is an effective method developed in the recent years on aim of providing enhancement to the accuracy of Face Recognition (FR) based systems. The visible general problems in face recognition are fraudulent faces and the factors affecting recognition accuracy such as noise, diversions in the angle, poses and expression. These problems are the main cause for system to lose its perfection and many researchers are working on LDRC to make it efficient for resisting against the problems. In this paper, Deep Learning method is introduced with as a part of learning based strategy to provide a complete analysis about the face samples present in the system. It also improves the performance of the LDRC by keeping the track of history information about the faces arriving as an input. The experimental results acquired on YALE and ORL database shows that the proposed system performs well than the early methods of LRC algorithms. © 2016 IEEE.


Hashmi M.F.,Anurag Group of Institutions | Keskar A.G.,Visvesavraya National Institute of Technology
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2017

Controller Area Network is an ideal serial bus design suitable for modern embedded system based networks. It finds its use in most of critical applications, where error detection and subsequent treatment on error is a critical issue. CRC (Cyclic Redundancy Check) block was developed on FPGA in order to meet the needs for simple, low power and low cost wireless communication. This paper gives a short overview of CRC block in the Digital transmitter based on the CAN 2.0 protocols. CRC is the most preferred method of encoding because it provides very efficient protection against commonly occurring burst errors, and is easily implemented. This technique is also sometimes applied to data storage devices, such as a disk drive. In this paper a technique to model the error detection circuitry of CAN 2.0 protocols on reconfigurable platform have been discussed? The software simulation results are presented in the form of timing diagram.FPGA implementation results shows that the circuitry requires very small amount of digital hardware. The Purpose of the research is to diversify the design methods by using VHDL code entry through Modelsim 5.5e simulator and Xilinx ISE8.3i.The VHDL code is used to characterize the CRC block behavior which is then simulated, synthesized and successfully implemented on Sparten3 FPGA. Here, Simulation and Synthesized results are also presented to verify the functionality of the CRC -16 Block. The data rate of CRC block is 250 kbps. Estimated power consumption and maximum operating frequency of the circuitry is also provided. © 2017 Institute of Advanced Engineering and Science. All rights reserved.


Sanka K.,Anurag Group of Institutions | Suda D.,Anurag Group of Institutions | Bakshi V.,Anurag Group of Institutions
Journal of Drug Delivery Science and Technology | Year: 2016

The objective of the present work was to improve solubility and dissolution release properties of clonazepam (CNZ) from solid-self nanoemulsifying drug delivery system (S-SNEDDS). Liquid SNEDDS (L-SNEDDS) of CNZ was a system consisted of sunflower oil, Tween 80 and PEG 600 as vehicle, surfactant and co-surfactant, respectively. The L-SNEDDS were systematically optimized using simplex lattice design. The selected independent variables were % of sunflower oil (X1), % of PEG 600 (X2) and % of Tween 80 (X3) and dependent variables were droplet size (YDS) and polydispersity index (YPDI). S-SNEDDS were prepared by simple adsorption technique using Aerosil® 200 as inert solid carrier. Both L-SNEDDS and S-SNEDDS showed significantly improved in vitro drug release and ex-vivo permeation than pure drug. Solid state characterization (DSC, X-RD and SEM) studies revealed that complete conversion of crystalline CNZ to amorphous form in optimized SNEDDS formulation. FT-IR studies revealed that there was no chemical interaction between drug and excipients. Accelerated stability studies revealed that there was no significant changes in physical appearance, emulsification time, droplet size, PDI, assay and dissolution release profile before and after storage. The obtained results illustrate the perspective use of S-SNEDDS for the oral delivery of poorly water soluble drugs. © 2016 Elsevier B.V. All rights reserved.


Alloli R.,Anurag Group of Institutions | Dharmavarapu P.,Anurag Group of Institutions | Sravanthi C.,Anurag Group of Institutions
International Journal of Mechanical Engineering and Technology | Year: 2016

The goal of this project is to build the vertical axis wind turbine to generate electricity by using wind energy. This type of vertical axis wind turbine will generate electricity without using generator or alternator, But by the application of magnetic levitation concept. This wind turbine is designed to sustain all the forces by wind and to keep the wings of the turbine rotating even though there is low wind force. This type of vertical axis wind turbines has three wings which are attached to the rotating shaft. The wings are designed that they accept the wind which comes from any directions. This project contains design and prototype of vertical axis wind turbine. © 2016 IAEME Publication.


Gnaneswara Rao N.,Vignan University | Vijaya Kumar V.,Anurag Group of Institutions
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014

Content Based Image Retrieval (CBIR) has been the most significant area in the applications of Pattern recognition and Computer Vision for the last three decades. However, there are many open problems left unresolved. Among these, one of the current problems of CBIR is to obtain an effective Similarity Measure. The CBIR systems make use of Integrated Region Matching (IRM) to match segmented images which is computationally economic, but it is not a metric distance whereas systems that use Minimum Cost Region Matching (MiCRoM) as a similarity measure is a metric distance, but computationally expensive. In order to address the above problem, this paper has developed the Optimal Cost Region Matching (OCRM) similarity measure for region based image retrieval. The proposed OCRM uses the north-west corner rule of the Transportation problem that fulfills the monge property. The experiment carried out on 1000 color images taken from the Corel database that are compared with IRM, and MiCRoM similarity measures. © 2014 SERSC.

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