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MY Portfolio: An Intelligent Platform

The paper discusses the intelligent running of the website where Portfolio is a tool for creating online portfolio websites used by professionals or creative people like photographers, designers, architects, stylists, models etc. The portfolio gives a compact display of your profile be it your personal aspect or professional. There is a problem which the authors have tried to solve i.e unlike other professional network here user will have a single platform for both personal & professional profiles. Along with many of its unique feature portfolio is a very useful tool for the employers & also for the job seekers. It is a place where user can keep all his/her details i.e. personal & professional details like your hobby, your pictures, your resume if you are a job seeker, your requirement if you are an employer you can keep your requirements here along with all your social media links many more such details information. Here one can search the profiles of existing users will be notified that who has visited the profile. People can also get in touch with others by visiting their profile chatting each other.

Published by: Vinu Lata, Mrs. Aaradhna Singh

Author: Vinu Lata

Paper ID: V2I5-1158

Paper Status: published

Published: September 29, 2016

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Research Paper

Sentimental Analysis of Twitter Data using Text Mining and Hybrid Classification Approach

Opinion Mining is an important concept in today’s world and due to the advent of social media it has become a huge source of database. Since almost everybody in the modern era is involved with some social media platform, the public mood is hugely reflected in the social media today. This thesis proposes to utilize this source of information and predict the sentiments of public towards a particular topic. Food price crisis is being studied here in this thesis and public opinion is predicted for the topic. Twitter data is utilized for the same and live tweets of Indian origin are extracted using twitter API called ‘tweepy’. Oauth is used as handler and tweets are filtered for specific keywords and location using latitude longitude data. The tweets are saved into a database. They first preprocessed for removal of spam, special characters, url, short words etc.The tweets are then stemmed and tokenized and TF-IDF score is calculated for all the keywords. Feature selection is applied on it using Chi-Square and information gain. A term document matrix (TDM) is created which is fed to the classifiers for classification. Two classifiers has been analysed in this thesis: KNN and Naïve Baye’s and a hybrid has been made using them. The results of both the classifier has ben found to be satisfactory while the hybrid-KNN outperforms the Naïve Baye’s Classifiers in terms of accuracy. Thus a novel method is designed for opinion mining of Indian tweets regarding food price crisis.

Published by: Shubham Goyal

Author: Shubham Goyal

Paper ID: V2I5-1157

Paper Status: published

Published: September 28, 2016

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Comparison of Gray Hole Attack in Manet in OLSR Protocol

In this era of wireless devices, Mobile Ad-hoc Network (MANET) has become an indivisible part for communication for mobile devices. Therefore, interest in research of Mobile Ad-hoc Network has been growing since last few years. In this paper we have discussed GRAY Hole attack in OLSR routing protocols in MANET. Security is a big issue in MANETs as they are infrastructure-less and autonomous. Main objective of writing this paper is to apply gray Hole attack in MANET& know How its effect on the MANET Environment. This article would be a great help for the people conducting research on real world problems in MANET security

Published by: Rohit Katoch, Anuj Gupta

Author: Rohit Katoch

Paper ID: V2I5-1156

Paper Status: published

Published: September 23, 2016

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A Review on Traffic Classification Methods in WSN

In a wireless network it is very important to provide the network security and quality of service. To achieve these parameters there must be proper traffic classification in the wireless network. There are many algorithms used such as port number, deep packet inspection as the earlier methods and now days KISS, nearest cluster based classifier (NCC), SVM method and used to classify the traffic and improve the network security and quality of service of a network.

Published by: Jaskirat Singh, Harpreet Kaur Saini

Author: Jaskirat Singh

Paper ID: V2I5-1154

Paper Status: published

Published: September 20, 2016

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Research Paper

A Novel Algorithm in 2 Level Aggregations for WSN in Multi Interface Multichannel Routing Protocol

Energy efficiency is an important metric in resource constrained wireless sensor networks (WSN). Multiple approaches such as duty cycling, energy optimal scheduling, energy aware routing and data aggregation can be availed to reduce energy consumption throughout the network. This thesis addresses the data aggregation during routing since the energy expended in transmitting a single data bit is several orders of magnitude higher than it is required for a single 32 bit computation. Therefore, in the first paper, a novel nonlinear adaptive pulse coded modulation-based compression (NADPCMC) scheme is proposed for data aggregation. A rigorous analytical development of the proposed scheme is presented by using Lyapunov theory. Satisfactory performance of the proposed scheme is demonstrated when compared to the available compression schemes in NS-2 environment through several data sets. Data aggregation is achieved by iteratively applying the proposed compression scheme at the cluster heads. The second paper on the other hand deals with the hardware verification of the proposed data aggregation scheme in the presence of a Multi-interface Multi-Channel Routing Protocol (MMCR). Since sensor nodes are equipped with radios that can operate on multiple non-interfering channels, bandwidth availability on each channel is used to determine the appropriate channel for data transmission, thus increasing the throughput. MMCR uses a metric defined by throughput, end-to-end delay and energy utilization to select Multi-Point Relay (MPR) nodes to forward data packets in each channel while minimizing packet losses due to interference. Further, the proposed compression and aggregation are performed to further improve the energy savings and network lifetime

Published by: Luv Kumar Pal, Anil Panday

Author: Luv Kumar Pal

Paper ID: V2I5-1151

Paper Status: published

Published: September 13, 2016

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Railway Bridge Track Surveying System for Accident Reduction

Abstract -As railroad bridges and tracks are very important infrastructures, which has direct effect on railway transportation, there safety is utmost priority for railway industry. This project aims at monitoring the tracks on the bridges along with structural health condition of the bridge for accidents reduction. In this paper we introduces railway tracks and bridge monitoring system using wireless sensor networks based on ARM processor. We designed the system including sensor nodes arrangement , collecting data, transmission method and emergency signal processing mechanism of the wireless sensor network.. The proposed system reduces the human intervention, which collects and transmit data . The desired purpose of the proposed system is to monitor railway infrastructure for accident reduction and its safety.

Published by: Vinod Bolle, Santhosh kumar banoth, Puja Khangar

Author: Vinod Bolle

Paper ID: V2I5-1150

Paper Status: published

Published: September 12, 2016

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