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Research Paper

Grain size and corrosion investigations on friction welding of AA6061-T6 Al alloy to Cu with Ni interlayer

In this study, Cu – Ni-Al 6061, rod were joined by friction welding techniques at various mechanical characterization.Corrosion, micro, macrostructure, grain structure, scanning Electros ion Micros cope[SEM] Analysis behavior of the Explosively joined sample was investigated. The influence of grain size on pitting corrosion of 6061Al in 3.5wt NaCl solution was investigated by electrochemical methods. At the end of the corrosion test carried out according to ASTM G3- Standard no separation was observed at the interface of the joint samples. The result of corrosion test showed no sign of any distinctive separation crack, tear, in the interface. The highest corrosion rate was measured in regions next to interfaces, the optical microscope and SEM examinations revealed that the corrosion current and corrosion rates are very low for the specimens welded with low upset pressure compared to other specimens.The minimum and maximum corrosion rates vary from0.466 and 356.64 mA/ Square centimeter.

Published by: E. Ravikumar, N. Arunkumar, D. Anandabadmanaban

Author: E. Ravikumar

Paper ID: V4I2-1999

Paper Status: published

Published: April 25, 2018

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Dissertations

High-resolution range signature for coastal surveillance RADAR

This paper mainly focuses on the signal processing techniques used on the coastal surveillance radar. As the radar is used to guard the coastal stretch of the Indian subcontinent, the target environment is dense. To satisfy this criterion wideband signal processing scheme is used. With the help of the wideband signal processing the high-resolution range signature for coastal surveillance radar is obtained using MATLAB

Published by: Vaishali Ashok Sondur, Sanjna S Repal

Author: Vaishali Ashok Sondur

Paper ID: V4I2-2043

Paper Status: published

Published: April 25, 2018

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Research Paper

Startup business research

Currently increasing demand for entrepreneurship leading to the best ways to start a startup. This paper provides with every aspect of research with respect to startups and its loan funding platforms along with ideologies to be considered.

Published by: Kalal Satish Goud, Vanaja Beemanapalli

Author: Kalal Satish Goud

Paper ID: V4I2-2106

Paper Status: published

Published: April 25, 2018

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Research Paper

Solar based switch mode power supply

In a switch mode power supply the input is fed from an alternating source, rectified, and filtered to obtain unregulated DC voltage which is further pass through a regulator to obtain a regulated Direct current, thus using it as a DC-DC converter. In this work, a Photo-voltaic panel is used to obtain Direct current which is fed to the hardware model, with a sole purpose of increasing dependencies on Renewable Energy sources, which is not only cost-effective but useful at places where a conventional current is not available.

Published by: Pritam Mahapatra, Biswajit Mohapatra

Author: Pritam Mahapatra

Paper ID: V4I2-2120

Paper Status: published

Published: April 25, 2018

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Review Paper

Review and study paper on wireless sensor network and few advancements

In this paper, the author aims at describing a wireless sensor network. wireless sensor network consisting of spatially distributed autonomous devices using the sensor to monitor physical or environmental conditions. The wireless sensor network can be used in wide range of applications including environmental monitoring, habitat monitoring, various military applications, smart home technologies and agriculture. Wireless sensor networks constitute one of the promising application areas of the recently developed wireless sensor networking techniques. Various clustering Schemes have been discussed and employed in both homogenous and heterogeneous wireless sensor network.

Published by: Richa, Misha Thakur

Author: Richa

Paper ID: V4I2-2127

Paper Status: published

Published: April 25, 2018

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Review Paper

Analysis and prediction of E-customers behaviour by mining clickstream data using Naive Bayes

Nowadays, online shopping has become a trend. In online shopping, it is very difficult to analyze and do prediction of the customer whether he will buy the product or not. So to predict that Naïve Bayes is used. Data mining extracts the information from a large amount of data which stores in multiple heterogeneous databases. This model extracts information and makes predictions about customers shopping behavior and helps to analyze click streams of e-customers on a digital marketplace. After collection of the dataset from the database, data mining is applied to the dataset collected and online customer behavior is predicted. Naïve Bayes is applied to the dataset which will predict the customer behavior and also predict about the customer’s interest about the item.

Published by: Namrata Pawar, Monali Gaikwad, Sarika Kalyani, Margi Savla

Author: Namrata Pawar

Paper ID: V4I2-2130

Paper Status: published

Published: April 25, 2018

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