VNR Vignana Jyothi Institute of Engineering and Technology
VNR Vignana Jyothi Institute of Engineering and Technology
Akshay N.,VNR Vignana Jyothi Institute of Engineering and Technology |
Krishna G.V.,VNR Vignana Jyothi Institute of Engineering and Technology
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016
Health condition in the most of Indian villages is comparatively poor and requires more attention. This is due to number of factors like unavailability of Health Check up and health care services is villages, access to town or city due to distance or non-Awareness of Government schemes. The proper healthcare can be achieved using routine health check up at village itself by providing required facility. This facility can collect the individual health condition data in terms of vital parameters like blood pressure, heart rate, Electro cardogram (ECG), asthma or Chronic Obstructive Pulmonary Disease(COPD) parameters and also fitness test for fatigue analysis. This information can be collected by a trained lab physician or hospital nurse and can be shared by hospital and Government Health Department to access public health in that village or area. The aim of this research work is to design and develop a platform to interface different biosensors and to acquire above physiological parameters as a health check up facility. A real time Arduino based prototype is designed for health care improvement as a part of telemedicine system. The Doctors will be updated with public health periodically and a better treatment can be provided using this data. And also gender wise health information can be made available. This can help in providing higher quality health care services for the population of Rural India. © 2016 IEEE.
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.
Naidu V.G.,VNR Vignana Jyothi Institute of Engineering and Technology
Procedia Engineering | Year: 2015
A front tracking finite difference method is developed for a two phase one dimensional classical Stefan problem. The method, to start with, requires two time step sizes needed for the front to move a fixed spatial distance each. Two equations are derived applying Green's theorem of vector calculus for two regions of the problem and solved by bisection method to obtain these time steps. Subsequent steps are obtained, one by one, by applying bisection method to the discrete form of the Stefan condition. This front tracking method is much simpler and natural than the methods based on enthalpy formulation and can take care of source or sink terms on the front. Enthalpy formalism overlooks the Stefan condition which is a vital ingredient in the development of our method, Problem of freezing of a slab as well as freezing of a spherical droplet is presented as examples. © 2015 The Authors.
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.
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.
Satyanarayana B.,VNR Vignana Jyothi Institute Of Engineering and Technology |
Yadav G.S.G.,VNR Vignana Jyothi Institute Of Engineering and Technology |
Nitin P.R.,VNR Vignana Jyothi Institute Of Engineering and Technology |
Reddy M.D.,VNR Vignana Jyothi Institute Of Engineering and Technology
Materials Today: Proceedings | Year: 2015
The conventional methods of optimization are unable to handle non differentiable or discontinues functions. Evolutionary Algorithms (EA) are efficient in handling non differential or discontinues functions. Non Dominated Sorting Genetic Algorithm-II (NSGA-II) is an efficient method for solving Multi-Objective optimization problems. Super alloy Inconel 718 is a high temperature alloy capable of having high creep rupture strength at high temperatures to about 650°C to 750°C. It is a difficult to cut material and is widely used in manufacturing of aircraft parts such as turbine disks, turbine blades, etc. A Multi Objective Optimization technique, NSGA-II has been used to predict the optimum values of process variables (Cutting speed, Depth of cut and Feed-rate) in high speed dry turning of Inconel 718 with PVD coated carbide tool by considering Material Removal Rate and Surface Roughness as Multi performance characteristics. According to NSGA-II's Pareto Optimal solutions, the best MRR obtained was 7462.42 mm3/min and the best surface roughness was found to be 0.375μm. © 2015 Elsevier Ltd.
Vardhan D.S.V.S.,VNR Vignana Jyothi Institute of Engineering and Technology |
Narayan Y.S.,VNR Vignana Jyothi Institute of Engineering and Technology
Proceedings - 2015 International Conference on Man and Machine Interfacing, MAMI 2015 | Year: 2015
Belt conveyors are durable and reliable components used in the industries for transporting material. Conveyors producing single type of component at a time generally monitor and control a single type of object. However, if there are more objects, then another system needs to be developed. This paper presents the design, fabrication and validation of a prototype of an automatic monitoring and control system designed for probing various types of objects on a belt conveyor. This system uses Allen Bradley MicroLogix PLC for controlling and feedback sensors for monitoring the objects. The production capacity of the system can be set in the program which can be easily altered satisfying the seasonal demand. The system stops automatically after reaching the desired production. In order to validate the designed system, experiments are performed using Taguchi's methodology wherein parameters like position, orientation, filling time, material type and types of objects i.e. trays and bottles are studied elaborately. © 2015 IEEE.
Greeshma L.,VNR Vignana Jyothi Institute of Engineering and Technology |
Pradeepini G.,Koneru Lakshmaiah College of Engineering
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016
Itemset mining identifies group of frequent itemsets that signify possibly of relevant information. Unique constraints are usually forced to emphasis the analysis on most interestingness itemsets. In this paper we proposed unique constraint based mining on relational dataset. The constrained-based mining helps us to merge all itemsets, which are interrelated to each other. Specifically it chooses itemsets with same consequent part of an association rule and evaluates the highest itemsets with minimum coverage in that relational database. This paper mainly concentrates to propose a new Apriori-based algorithm, which satisfy the certain properties of constrained itemset based mining like anti-monotonicity. © 2016 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.