VNR Vignana Jyothi Institute of Engineering and Technology

Hyderabad, India

VNR Vignana Jyothi Institute of Engineering and Technology

Hyderabad, India
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Srinivasa Rao T.,VNR Vignana Jyothi Institute of Engineering and Technology | Maheswar Gowd B.,Jawaharlal Nehru Technological University Anantapur
Materials Today: Proceedings | Year: 2015

From the literature it is found that, two different approaches were followed for the prediction of transverse thermal conductivity (K2) of FRP composites. In the first approach, the internal anisotropy of the lamina is assumed negligible and K2 is estimated using simple Fourier's law of 1-D heat conduction applied to Representative Volume Element (RVE). Whereas in the second approach, electrical analogy method is followed. To estimate the effect of internal anisotropy, through thickness thermal conductivity (K3) of an FRP lamina is determined by both the approaches using the Finite Element method for an RVE in the auxiliary plane. The problem is modelled in ANSYS 15 software. In the present paper studies are made for various Kf/Km values (1-50) and for various angles (200-900) made by the section plane with the fiber axis. It is observed that the through thickness thermal conductivity is consistent in the second approach, whereas in the first approach there is considerable variation (max. 8.6%) with the orientation of the unit cell. © 2015 Elsevier Ltd.


UshaRani Y.,VNR Vignana Jyothi Institute of Engineering and Technology | Sammulal P.,JNTUH College of Engineering
Advances in Intelligent Systems and Computing | Year: 2017

Missing values are quite common in medical records. Fixing missing values is a challenging task to data mining analysts as any error in imputation process leads to potential hazards. In the present research, the main objective is to impute missing values using a new similarity measure and applying class based cluster approach which is used to perform dimensionality reduction. The proposed approach is demonstrated using an effective case study. The results show the proposed measure performs better and is efficient. © Springer International Publishing AG 2017.


Priyanka Brahmaiah V.,VNR Vignana Jyothi Institute of Engineering and Technology | Sravya V.V.B.,VNR Vignana Jyothi Institute of Engineering and Technology
Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017 | Year: 2017

The objective of this paper is to design a power management unit that generates different voltage levels from a constant input voltage. The purpose of this unit is to drive the peripherals operating at different voltage levels and are embedded in single application. The design of power management unit supports the power save mode operation, i.e. The unit supplies voltage only when there is a demand for the operation to be performed by the control unit or request from the peripheral. © 2017 IEEE.


Shabarinath B.B.,VNR Vignana Jyothi Institute of Engineering and Technology | Swetha Reddy K.,VNR Vignana Jyothi Institute of Engineering and Technology
Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017 | Year: 2017

Traffic light control unit can be designed as a synchronous sequential machine with finite number of states. Explicit finite state model is used to design the necessary coding for control system using Verilog HDL. The machine is modelled with only six states and these states are chosen based on the traffic control algorithm. In each state necessary delay is provided and for that particular delay the necessary traffic lights are set ON and OFF. For illustration just only two roads are chosen and control algorithm controls the traffic lights of that roads. This paper proposes a flexible framework which provides a delay in particular state using clock divider, also discusses the issue of modelling the state machine in a synthesis friendly manner. The design is aimed for Xilinx Spartan-6 XC6LX16-CS324 FPGA. Also this paper discusses the issue of choosing a state encoding scheme. © 2017 IEEE.


Sampath Reddy P.,VNR Vignana Jyothi Institute of Engineering and Technology | Jyostna K.,VNR Vignana Jyothi Institute of Engineering and Technology
Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017 | Year: 2017

Diabetes is one of the life threatening diseases in theworld. Nowadays, diabetes patients are increasing due toimproper monitoring of blood glucose level. The diabetes infectedpatients have to check the amount of glucose level present in thebody using invasive method. By using this method, they have totake a drop of blood from the body and check the amount ofglucose level, by which they can inject the required amount ofinsulin into the body. To overcome the difficulties caused byinvasive method, in this prototype we are using non-invasivemethodology. The main objective of this work is to design aportable non-invasive blood glucose level monitoring device usingnear infrared sensors. The device includes Infrared LED,Photodiode and ATMEGA328 Microcontroller. Besides beingable to detect glucose concentration in blood, the device alsodisplays the required insulin dose based on glucose levelcorresponding to the Body Mass Index (BMI) of the user. © 2017 IEEE.


Vasundara D.N.,VNR Vignana Jyothi Institute of Engineering and Technology | Seetha M.,G Narayanamma Institute of Technology and Science Hyderabad
2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 | Year: 2017

The main objective of the spatial image classification is to extract information classes from a multiband raster spatial image. The network structure and number of inputs are the key factors in deciding the performance and accuracy of the traditional pixel based image classification techniques like Support Vector Machines (SVM), Artificial Neural Networks (ANN), Fuzzy logic, Decision Trees (DT) and Genetic Algorithms (GA). In this paper, a new hybrid approach is proposed and implemented to improve neural network classification performance that uses rough sets approach for feature selection of image pixels. Code is developed for the implementation of the proposed Rough Set based Artificial Intelligence Neural Network (RS-ANN) technique using JAVA SE JDK, JRE 8, Wolfram Mathematica, R Language Environment version 3.3.1 and R Studio IDE version 1.0.44. The implementation of the tests is done with 20 image instances. It is evident from the results that more number of image instances has less percentage of error than the average error of the corresponding test. The maximum accuracy of the proposed algorithm is 90% which indicates a high accuracy of the proposed hybrid RS-ANN model for spatial image classification. © 2016 IEEE.


Kumar P.A.,VNR Vignana Jyothi Institute of Engineering and Technology | Narayan Y.S.,VNR Vignana Jyothi Institute of Engineering and Technology
International Journal of Mechanical and Production Engineering Research and Development | Year: 2017

Mobile robots have many abilities, of which the most unique one is the mobility. The terrain over which, these robots must be able to move is often uneven, slippery or muddy, which gives rise to many challenges, particularly stability. Two of the most common methods for robot mobility are wheels and legs. The necessity of legged robots is increasing day by day, as compared to the wheeled robots. Legged robots are more advantageous and versatile than wheeled robots, on uneven terrain such as military operations, remote locations, dangerous environments, excavation and construction works and medical applications. However, achieving the perfect locomotion and mobility of legged robots, on any type of terrain is the area of current research. This paper presents, design of a quadruped robot having four legs, but based on human leg structure. An attempt was also made, to perform inverse kinematic analysis on the design for validation. The paper also explains the procedure of designing a quadruped robot and the parameters involved in it. © TJPRC Pvt. Ltd.


RadhaKrishna V.,VNR Vignana Jyothi Institute of Engineering and Technology
ACM International Conference Proceeding Series | Year: 2015

The problem of software fault localization may be viewed as an approach for finding hidden faults or bugs in the existing program codes which are syntactically correct and give fault free output for some input instances but fail for all other input instances. Some of the reasons include logical errors, wrong interpretation of specification, coding errors. Finding such faults is not possible sometimes with the help of compilers. This is where the necessity and significance of software fault localization stems out. The main contribution for this work is to first introduce the block hit-miss function which relates block vectors of execution sequences of software code over sample runs performed and the decision vector which denotes fault or error free output. The similarity measure is applied to the block vector and decision vectors as input and the pair with maximum similarity is considered as faulty block. © 2015 ACM.


Akshay N.,VNR Vignana Jyothi Institute of Engineering and Technology
2014 International Conference for Convergence of Technology, I2CT 2014 | Year: 2014

Precised and robust controllers are need of Industries like Chemical, Petrochemical plants which required to operate with the defined parameters and unknown disturbances. Therefore a robust controller is required to maintain process parameters. Conventional PID Controller tuning requires lot of mathematical hard work. Though, mathematical controllers are easy to implement, but are not précised one. Also, the tuned parameters of PID Controller for a particular setup will not be optimum when the system physical parameter is changed, then the controller should be robust to overcome such scenario. An approximate mathematical controller for real time applications requires complex considerations. Previous knowledge on system characteristic equation as PID controller is not required while implementing Fuzzy Logic Controller. Fuzzy Logic Controller based on theory of approximate mathematical reasoning enables to treat decisively and precisely. This paper focuses on design and implementation of fuzzy based control to utilize human intelligence and reasoning. The fuzzy logic control is implemented using Fuzzy Logic Toolkit in LabVIEW software and tested with Process Control temperature and level loops. Data Acquisition is done using NI cFP AIO-610 with NI cFP-2020 PAC modules. © 2014 IEEE.


Radhakrishna V.,VNR Vignana Jyothi Institute of Engineering and Technology | Srinivas C.,Kakatiya Institute of Technology | Guru Rao C.V.,Sr Engineering College
Procedia Computer Science | Year: 2013

In this paper a generalized approach is proposed for clustering a set of given documents or text files or software components for reuse based on the new similarity function called hybrid XOR function defined for the purpose of finding degree of similarity among two document sets or any two software components. We construct a matrix called similarity matrix of order n-1 by n for n document sets or software components by applying hybrid XOR function for each pair of document sets. We define and design the clustering algorithm which has its input as similarity matrix and output as a set of clusters formed dynamically as compared to other clustering algorithms that predefine the count of clusters and documents being fit to one of those clusters or classes finally. The approach carried out uses simple computations. © 2013 The Authors. Published by Elsevier B.V.

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