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Recent Papers

Detail Survey and Analysis of Resource for Village Functioning Using Advance Techniques Q-Gis and Total Station

A geographic information system is a special case of information systems where the database consists of observations on spatially distributed features, activities or events, which are definable in space as points, lines, or areas. A geographic information system manipulates data about these points, lines, and areas to retrieve data for queries and analyses.

Published by: Amit Baravkar, Gadhave Punam, Kale Akshay, Prof. Kate G. K

Author: Amit Baravkar

Paper ID: V3I1-1271

Paper Status: published

Published: January 26, 2017

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Thermal Analysis of Journal Bearing Using CFD Software for Performance Enhancement

Abstract- Hydrodynamic journal bearings are used in machinery which is rotating at high speeds and heavy loads for work done. This results in increase temperature rise in the lubricant film which significantly affects off the bearing. The thermo-hydrodynamic analysis should be carried out in order to obtain the realistic performance parameters of the journal bearing. Journal bearing models are developed for different speeds and eccentricity ratios to study the interaction between the fluid and elastic behavior of the bearing. Thermo-hydrodynamic analysis of circular journal bearing has been simulated by using Computational Fluid Dynamics approach. This approach solves the three-dimensional Navier-stokes equation to predict the bearing performance parameters such as the pressure and temperature of the lubricant along the profile of the bearing. The CFD technique has been applied through ANSYS Fluent software. The oil flow is assumed to be laminar and the steady state condition has been assumed in the current work. The effect of variation of pressure and temperature are considered during the study. Journal bearing models are developed for different speeds and eccentricity ratios to study the interaction between the fluid and elastic behavior of the bearing. By applied the fins on journal bearing we improved the efficiency of journal bearing

Published by: Kapil Hiraman Bagul, Pundlik N. Patil, Raghunath Y. Patil

Author: Kapil Hiraman Bagul

Paper ID: V3I1-1270

Paper Status: published

Published: January 26, 2017

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Andro Attendance – Marking Attendance with Android Application

Andro Attendance is the android application developed to manage daily student attendance in colleges. The Mobile Phone Based Attendance System will help the lecturers to take attendance easily, securely and without errors. This system will be used to reduce the fake attendance and also reduce the waste of the time. The lecturer will be able to view the attendance by this App. After taking the attendance in the Android mobile, attendance will be sent to the server.

Published by: A Karthikeyan

Author: A Karthikeyan

Paper ID: V3I1-1269

Paper Status: published

Published: January 26, 2017

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Change in Physico Chemical Characteristics of Distillery Spent Wash after Treatment with Soil and Wood Ash

Adsorption treatment of distillery spent wash has great potential as a sustainable method as it is a low-cost method. The aim of this investigation is to study the treatment method for purification of distillery spent wash by using Soil and Wood ash. For this, the study comprising evaluation of reduction of various physical-chemical parameters (Color, Odor, pH, COD, TS, TDS, Ca, Mg, Na, and K) of distillery spent wash was checked by passing through the columns of Soil and Wood ash. The distillery effluent was acidic (pH 4.7) and dark brown in color which often cause psychological fear in farmers for utilization. Soil treatment of spent wash exhibited the good reduction in COD, TS, TDS, Mg, Na, Ca, after 72-hour treatment and increase in pH toward pH 7 followed by Soil + Wood ash (1:1).

Published by: Bharat Kumar, Arun Upreti, Mehtab Singh Dhaliwal, Rajat Singh Bisht

Author: Bharat Kumar

Paper ID: V3I1-1268

Paper Status: published

Published: January 26, 2017

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Exponential H∞ Filtering Design for Discrete-Time Neural Networks Switched Systems with Time-Varying Delay

This paper deals with the exponential H∞ filtering problem for discrete-time neural networks switched singular systems with time-varying delays. The main purpose of this paper is to design a linear mode-dependent filter such that the resulting filtering error system is regular, causal, and exponentially stable with a prescribed H-infinity performance bound. In addition, the decay rate of the filtering error dynamics can also be tuned. By constructing an appropriate Lyapunov functional together with some zero inequalities and using the average dwell time scheme, a novel delay-dependent sufficient condition for the solvability of the H-infinity filtering problem is derived. Based on this condition, the desired filter gains can be obtained by solving a set of linear matrix inequalities (LMIs). A numerical example is presented to show the effectiveness of the proposed design method.

Published by: G. Mahendrakumar, R. Manivannan, R. Samidurai

Author: G. Mahendrakumar

Paper ID: V3I1-1266

Paper Status: published

Published: January 25, 2017

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A Topsis-Based Taguchi Optimization to Determine the Reverse Osmosis Process Parameter for Distillery Effluent in ZLD Process

In general, the optimization problems contain more than one response, which often conflicts with each other. This paper proposes the TOPSIS-based Taguchi optimization approach to determine the optimization of reverse osmosis process parameters for improving recovery and quality of permeate. The performance criteria are identified for Permeate are COD, Total Solids, Conductivity and Hardness in reverse osmosis process. They are dependent on process parameters Operating Pressure (OP), Potential Hydrogen, Oxidation Reduction Potential and Anti-Scaling Agent. Four factors having three control levels and one factor having three control levels are identified for performance criteria. The temperature is taken as noise factor. The data for permeate, recovery, and quality of permeate obtained by running scenario that combines factor levels in Taguchi design while the signal to noise (S/N) ratios are calculated for the data. After a decision matrix is generated by the S/N ratios, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is then used to transform the multi-response problem into a single- response problem. The anticipated improvement rate is also determined by finding the levels of the factors in order to optimize the system which uses Taguchi I’s single response optimization methodology.

Published by: P. A Gadge, Dr. A. C Waghmare, Dr. R. D Askhedkar

Author: P. A Gadge

Paper ID: V3I1-1265

Paper Status: published

Published: January 25, 2017

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