Call For Paper : May 2016 #IJSRD

5th NATIONAL CONFERENCE on Computational and Mathematical Sciences | IJSRD

5^th NATIONAL CONFERENCE

on Computational and Mathematical Sciences

(March 18th & 19th, 2016)

in association with International Journal for Scientific Research & Development (IJSRD}

ABOUT THE CONFERENCE

The Conference proposes to bring together experts, researchers, faculties, students and the leaders of industries for sharing their knowledge and expertise in the field related to Computer and Mathematical Sciences.
We have successfully organized four National Conferences named “COMPUTATIA” since 2011. Following that this year also we are organizing COMPUTATIA-V “Two Days National Conference on Computational and Mathematical Sciences” on March 18th-19th, 2016.

PUBLICATION

Authors are requested to submit their abstracts in MS WORD file format at email-id: computatia.2012@gmail.com or computatia@vitej.ac.in on or before 9th March, 2016.
The Selected Papers will be published in IJSRD (International Journal for Scientific Research and Development) having ISSN (online): 2321-0613 and Impact Factor: 2.39

BROCHURE

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#SAL #IJSRD #National Conference #Conference in Ahmedabad

Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks : IJSRD.com

Paper Title :  Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks

Author Name : Dr. Jigar Patel1 Vaishali Patel2 Amit Patel3 

Author Designation : 1Associate Professor 2Research Scholar 3Assistant Professor

Author College Name : 1KIRC, Kalol 2KSV, Gandhinagar 3CSPIT, Changa

Abstract - The neural network based approaches a feed forward neural network trained with Back Propagation technique was used for automatic diagnosis of defects in bearings. Vibration time domain signals were collected from a normal bearing and defective bearings under various speed conditions. The signals were processed to obtain various statistical parameters, which are good indicators of bearing condition, then best features are selected from graphical method and these inputs were used to train the neural network and the output represented the bearing states. The trained neural networks were used for the recognition of bearing states. The results showed that the trained neural networks were able to distinguish a normal bearing from defective bearings with 83.33 % reliability. Moreover, the network was able to classify the bearings into different states with success rates better than those achieved with the best among the state-of-the-art techniques.

Keyword - artificial neural networks (ANNs), condition monitoring, features extraction, Root mean square, Crest factor, Kurtosis, Skewness, Clearance factor, Impulse factor, shape factor, entropy, energy, upper bound, lower bound, central moment, signal distribution1, spectral skewness, spectral kurtosis, spectral energy, Periodogram. 

For Full Length Paper Visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV1I4003

Optimal Battery Charging in a Solar-Powered Robotic Vehicle #ijsrd

IJSRD Leading E-journals of India Found Good Article on Electronics Engineering.

Title : Optimal Battery Charging in a Solar-Powered Robotic Vehicle

Abstract— This project focuses on the working of a robot with the help of servomechanism solar panel and the ATMEL16L micro-controller .It has on chip memory used for storing the program (set of instructions). Based on the program execution the robot will take the decision in order to performing particular operation. Our proposed system is not only used to controlling the robot but also used for charging the battery completely in day time. It is also used for charging a mobile phone throughout the day. The aim is completing the process of charging a battery independently while the other battery provides all the energy consumes by the robot.

Key words: Servo Mechanism Solar Panel, Mobile Charger, Battery, Robot, Micro-controller

INTRODUCTION

In order to operate robot in which the decision is taken by robot itself. Here the robot is operated based on instructions stored in ATMEL16L microcontroller. The main Moto of this project is the decision is taken by the robot itself with help of solar energy and the servomechanism. Here the importance of servomechanism is used for getting solar energy from the sun entire day time, that is a solar plate is moved with respect to the direction of sun. The batteries are used in this project in order to storing the charge in daytime and that stored charge is used by robot during night time. Here the entire operation of robot is under the supervision of microcontroller. In this project we are using three LDR’s at different positions in order to get the solar energy in daytime. The operation of servomotor mechanism is depending up on the instructions executed in microcontroller, that is in microcontroller depending up on the voltage drop in LDR’s a particular group of instructions are executed. Due to this the servomotor mechanism works.

FUTURE SCOPE

This automation of battery charging and making it use for robot movement and task completion still can further extend to not only charging the mobile phone but also electronic gadgets such as laptops and high power consuming gadgets also. This application is relevant in the real time applications and Robot will be under continuous monitoring process without any gap of supply.  

For Full length Article Visit : http://www.ijsrd.com/articles/IJSRDV3I60017.pdf

For More Research Article Visit : www.ijsrd.com

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