Advanced E-voting System using NFC
The electronic voting is the technology in which the citizens can do the vote using smart phone. It gives functionality to users to give vote from android mobile. E-voting technique have advantages over traditional voting framework like less manpower, it save time, accuracy and transparency ,fast result ,etc. Security pre-requisites E-voting technique has so many challenges associated with voting. Mainly Assimilation and Verification to keep secure voted data. To overcome these challenges we purpose the new e-voting framework in which the NFC tag is used to give more accuracy and transparency in voting framework.The NFC tag store information of voters to check the voter and voters vote in the application. The E-polling technique has three phases.The first involves analyze and verification of user .In second phaseto get OTP and using this OTP user can vote in the framework. In third stage Administrator will count and sort out the votes and declare the result of voting in application.
Published by: Pratiksha Bhosale, Sayali Mokashi, Priyanka Wadkar, Prof P.V.Mahadik
Author: Pratiksha Bhosale
Paper ID: V2I5-1188
Paper Status: published
Published: October 27, 2016
Novel Approach for Routing in MANET by Network Connectivity with Meta Heuristic
. A popular example of opportunistic routing is the “delay tolerant” forwarding to vanet nework when a direct path to destination does not exist. The evaluation of this work is twofold. We implemented two prototypes on off -the-shelf hardware to show the technical feasibility of our opportunistic network concepts. Also, the prototypes were used to carry out a number of runtime measure- ments. Then, we developed a novel two-step simulation method for opportunistic data dissemination. The simulation combines real world user traces with artificial user mobility models, in order to model user movements more realistically. We investigate our opportunistic data dissemination process under various settings, including different communication ranges and user behavior pattern In this use Conventional routing in this case would just “drop” the packet. With opportunistic routing, a node acts upon the available information ,In this thesis optimize the routing by centrality information then refine by ant colony metaheuristics.In this method validate our approach on different parameter like overhead, throughput
Published by: Ramninder Kaur, Harpreet Kaur
Author: Ramninder Kaur
Paper ID: V2I5-1187
Paper Status: published
Published: October 27, 2016
Twitter Stream Analysis for Traffic Detection in Real Time
Now a days,social networking are more popular.for example,twitter,Facebook etc.social networking are used forevent detection in real time.Real time events are traffic detection,earthquake monitoring.In this paper,we use the the twitter for real time traffic event detection.Firstly,the system extract the tweets from twitter and apply the text mining techniques on that tweets.those techniques are tokenization, stop-word removing,stemming.after that classify that on the basis of class label i.e traffic event or no traffic event.In this paper, we present an online method for detection of real-traffic events in Twitter data.
Published by: Rucha Kulkarni, Sayali Dhanawade, Shraddha Raut, Prof.D.S.Lavhkarer
Author: Rucha Kulkarni
Paper ID: V2I5-1186
Paper Status: published
Published: October 26, 2016
Smart Wifi Dustbin System
We realize that Garbage causes damage to local ecosystems, and it is a threat to plant and human life. To avoid all such situations we are going to implement a project called IoT Based Smart Garbage."When somebody dumps trash into a dustbin the bin ashes a unique code, which can be used to gain access to free Wi-Fi". Sensor check garbage lls in dustbin or not and Router pro- vides Wi-Fi to user. Major part of our project depends upon the working of the Wi-Fi module; essential for its implementa- tion. The main aim of this project is to enhancement of a smart city vision.
Published by: Akshay Bandal, Pranay Nate, Rohan Mankar, Rahul Powar
Author: Akshay Bandal
Paper ID: V2I5-1185
Paper Status: published
Published: October 25, 2016
Extracting News from the Web Pages by using Concept of Clustering with Neural Genetic Approach
Web news extraction is a investigation area which has been widely discovered. It has resulted in some systems which takes good extraction capabilities with little or no human involvement. The present system looks into the perception of web broadcast from a single web site which takes a equivalent format and the idea commonly is not as efficient when multiple web news pages are measured which go to altered sites. My work proposes a web extraction layout which is pretty same for maximum of the web news The purpose of web news extraction is to enhance information retrieval which provisions news articles associated to a particular event for competitive business analysis Researches in this area have shown many methods altered from the other based on the requirement, the extractor should be chosen. . In previous work they use unsupervised learning for extracting the news from web, but it compares the entire news pattern which extract so far. And in previous work did not work on the pattern of text in web which provide important information for classification and analysis of news from the web. Previous work extracting news is not complex process but classification of news take more time in processing. In previous work features will increase exponentially on the basis of unsupervised learning done. We reduce the complexity and increase the accuracy web news extraction by using text from web and classified by Cluster based supervised learning. to study and analysis of text mining and classifier on different parameters. To offered and implement pre-processing of web page by text mining and classified by cluster based supervised leaning. To learning the offered methodology by precision, recall, accuracy and F1 measure. The point of information accessible in the World Wide Web, it performs that the detection of quality data is graceful and simple but it has been a important matter of concern text mining is a field of researches and alterations. Online news classification has been challenge continuously in terms of manual operation. Data mining is procedure of determining interesting knowledge such as patterns, suggestions, changes, variances and important structures, from large amounts of data stored in database, data warehouse, or additional information sources. Information to the wide availability of massive amount of data in electronic form, and pending need for revolving such data into useful information and knowledge for broad application with market analysis, business administration and judgment support, documents mining has involved a great deal of devotion in information business in recent year.
Published by: Nishan Singh Saklani, Saurabh Sharma
Author: Nishan Singh Saklani
Paper ID: V2I5-1184
Paper Status: published
Published: October 25, 2016
Survey of Various X-RAY Bone Image Segmentation Approaches
Photo segmentation is an foremost study subject considering the fact that it plays a major position in photo evaluation, and understanding. Segmenting an snapshot is essentially the most difficult and tricky assignment due to the fact that there exist exclusive objects and a tremendous variants between them using a common framework. Thresholding is likely one of the simplest segmentation strategies. The drawback of thresholding methods is that they may be able to be utilized to a single-band photograph, equivalent to a gray-scale image or a single band of a multi-band photograph. Area headquartered ways have shown to be very useful and effective segmentation methods in photograph processing. Nevertheless, they've over-segmentation tendency, require handbook initialization and are touchy to noise. Clustering system can be used for multi-band pics, however the number of groups need to be founded first. Classification-situated algorithm requires a training phase. Deformable units are less sensitive to noise than the opposite methods awarded in this paper, which make them compatible for problematic clinical picture segmentation problems. Atlas-situated approaches use prior potential in an effort to perform segmentation, but they are time-ingesting.
Published by: Sarita, Vikas Sandhu
Author: Sarita
Paper ID: V2I5-1183
Paper Status: published
Published: October 22, 2016
