Notice Board :

Call for Paper
Vol. 5 Issue 10

Submission Start Date:
Oct 01, 2018

Acceptence Notification Start:
Oct 10, 2018

Submission End:
Oct 15, 2018

Final MenuScript Due:
Oct 30, 2018

Publication Date:
Nov 01, 2018
                         Notice Board: Call for PaperVol. 5 Issue 10      Submission Start Date: Oct 01, 2018      Acceptence Notification Start: Oct 10, 2018      Submission End: Oct 15, 2018      Final MenuScript Due: Oct 30, 2018      Publication Date: Nov 01, 2018




Volume III Issue VII

Author Name
Mohd. Alhaz, Faisal Qamar
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 7
Abstract
To facilitate communication within the network a routing protocol is used to discover routes between nodes. The goal of the routing protocol is to have an efficient route establishment between a pair of nodes, so that messages can be delivered in a timely manner. Mobile ad hoc networks (MANETs) can be defined as a collection of large number of mobile nodes that form temporary network without aid of any existing network infrastructure or central access point. Each node participating in the network acts both as host and a router and must therefore is willing to forward to packets for other nodes. The characteristics of MANETs such as: dynamic topology, node mobility, provides large number of degree of freedom and self-organizing capability of that make it completely different from other network. Due to the nature of MANETs, to design and development of secure routing is challenging task for researcher in an open and distributed communication environments.
PaperID
2016/IJTRM/7/2016/6810

Author Name
Usha Behera, Mr. Pinkeshwar Mishra
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 7
Abstract
Classification is supervised data exploration and learning mechanism. This recently has been widely studied in wide range of applications subject. Supervised Classification is based on association rules and if we increase number of association rule degree of accuracy of classification is also being increase but larger number of rule take longer time to classify. Recent research is focussed to develop a model that increases the accuracy in minimum time. In this paper Genetic Algorithm based multi class classification model is proposed. Proposed model also use Naive Bayes theorem for confining resultant rule set generated by GA algorithm. This paper used wine data set available at UCI machine learning website for classification and applies 3 cross fold mechanism for cross validation.
PaperID
2016/IJTRM/7/2016/6813

Author Name
Mr. Pavan Devade, Prof. Pritesh Jain
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 7
Abstract
The Software reusability has considerable effect on software quality and productivity, software quality increases with reuse of software components and source code directly relates to cost and quality. Software Reusability is the likelihood of a segment of source code that can be used again to add new functionalities with slight or no modification in software.. Software programming is a complex task, mainly due to the complexity involved in the process. Reusability is the ability to implement or combine independent software components in large units. The metrics that evaluate object oriented metrics are: classes, methods, inheritance. Very few metrics are presented for object oriented source code. In this Dissertation, a measurement has been done for measuring the Reusability of source code using Object Oriented Metrics.
PaperID
2016/IJTRM/7/2016/6821

Author Name
Mr. Chandrakant Mengoliya, Prof. Devendra Sikarwar
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 7
Abstract
Today, our energy need is fulfilled by burning oil and only a very small percentage is generated by nuclear power plants. The increasing cost of petroleum products is a big problem facing most developing countries of the world including India. There are many sources of energy but biogas is different from other renewable energy, because of its favorable controlling, collecting and characteristics. The present work was based on to generate biogas form waste and effectiveness of the cow dung in different operating conditions (thermophilic and mesophilic) in 20 liter capacity tank. First experiment was performed for cow dung in thermophilic condition. Biogas yield from this experiment was 29050 ml over the study period of 19 days. Similarly the second experiment was performed to check the gas production from the cow dung in mesophilic condition. The total gas production of 25693ml was recorded from this experiment and the study period for this was 25 days.
PaperID
2016/IJTRM/7/2016/6824