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Recent Papers

Secure Data Retrieval For Decentralized Disruption Tolerant Military Networks

Mobile nodes in military environments such as a battlefield or a hostile region are likely to suffer from intermittent network connectivity and frequent partitions. Disruption tolerant network (DTN) technologies are becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and access the confidential information or command reliably by exploiting external storage nodes. Disruption- tolerant network (DTN) technologies are becoming successful solutions that allow nodes to communicate with each other in these extreme networking environments. Typically, when there is no end-to-end connection between a source and a destination pair, the messages from the source node may need to wait in the intermediate nodes for a substantial amount of time until the connection would be eventually established. The concept of attribute-based encryption (ABE) is a promising approach that fulfills the requirements for secure data retrieval in DTNs. Especially, Cipher text-Policy ABE (CP-ABE) provides a scalable way of encrypting data such that the encrypt defines the attribute set that the decrypt needs to possess in order to decrypt the cipher text. Thus, different users are allowed to decrypt different pieces of data per the security policy.

Published by: Miss. S. Anitha, Miss. K. Induja, Miss. N. Ramya, Mr. R. Sathishkumar

Author: Miss. S. Anitha

Paper ID: V3I3-1469

Paper Status: published

Published: June 7, 2017

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Rural Road Pavement Performance Evaluation and Design

In this work a rural road is constructed and considered under the project of PMGSY from Utterbani to Marikhui, Purmandal Taluka ,Samba District, Jammu and Kashmir State, India for Pavement Performance Studies. The objective of the work was to conduct Pavement Performance Studies and on this road which includes Structural and Functional Evaluations and design of pavement.. Road inventory survey included the findings relating to properties of bitumen and soil, rainfall, temperature, properties of shoulder material, sub base, base and type of adjoining land etc. In periodic survey surface drainage rating, roughness value, sub grade moisture content has been investigated. In pavement condition survey, rut depth, longitudinal depression, cracking of bituminous layer, percentage of raveling, severity of potholes and area of patching has been measured. In the traffic survey different types of vehicles including commercial vehicles have been recorded for 24 hours X 3 days for the computation of MSA. In the axle load surveys, type of vehicle, number of axles and load on each axle will be recorded to determine the vehicle damage factor (VDF). In the non destructive structural evaluation, deflection studies would be done. The distresses observed on this road are a few percentages of raveling, road cutting, patching, potholes, and roughness. Comparison has been done considering pavement condition index (PCI). This paper attempts to address the issues relating to the design of such village road through which all round development of the district can be achieved.

Published by: Vivek Poonia, Mohit R. Raina, Naveen Kumar, Hitanshu Bhagat, Pravin J. Gorde, Yash Wanjari

Author: Vivek Poonia

Paper ID: V3I3-1493

Paper Status: published

Published: June 7, 2017

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Literacy Level of Muslim Girls in Uttar Pradesh

This paper main aims to find out the literacy level of Muslim girls in Uttar Pradesh and it also aims to compare the literacy level of Muslim girls in Uttar Pradesh between two census i.e. 2001 and 2011. The study is based on the secondary sources of data which has been collected from the census of India 2001 and 2011. In this paper, Researcher’s focused on the status of Muslim girls’ literacy rate in Uttar Pradesh. It is found that more than half i.e., 53.95 per cent of the total population of the Muslims in India is illiterate with 17.48 per cent literate people just for the name sake only. If we talk about Uttar Pradesh then we found that 50.59 per cent Muslim girls are literate in 2011 (as per census 2011) in which 47.04 literate in rural areas and 56.44 literate in urban areas. This show better result from the census report 2001 in which 31.58 Muslim girls were literate in rural areas and 47.31 Muslim girls were literate in urban areas. The results have revealed that the literacy level of Muslim girls in Uttar Pradesh is not satisfactory and needs special attention.

Published by: Pooja Singh, Dr. Meena Bhandari

Author: Pooja Singh

Paper ID: V3I3-1502

Paper Status: published

Published: June 7, 2017

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Research Paper

An Object Tracking Mechanism in Wireless Sensor Networks

The continuously widening variety of Wireless Sensor Networks (WSNs) applications requires node this is certainly precise which needs efficient and error free localization practices. Localization methods created in past times are totally centered on really good computation this is certainly numerical of network variables such as for example transmission range, propagation form, transmitted or received power, delivering or arrival time, connection information etc. These variables are susceptible towards ecological presence and circumstance of hurdles in environment. As wireless sensor companies tend to be ubiquitous in general, localization is a factor this is certainly essential be fixed. Localization of a node that is unknown be identified through a collection of research nodes. In this work, we provide a novel hybrid localization strategy, which determines the location this is certainly exact of an unknown node through the mixture of both range free and range based practices.

Published by: Pinki Rathee, Sanjeev Indora

Author: Pinki Rathee

Paper ID: V3I3-1465

Paper Status: published

Published: June 7, 2017

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Voice Based Email for Blind People

Abstract - The advancement in computer based accessible systems has opened up many avenues for the visually impaired across a wide majority of the globe. Audio feedback based virtual environment like, the screen readers have helped blind people to access internet applications immensely. However, a large section of visually impaired people in different countries in particular, the Indian sub-continent could not benefit much from such systems. This was primarily due to the difference in the technology required for Indian languages compared to those corresponding to other popular languages of the world. In this paper, we describe the voicemail system architecture that can be used by a blind person to access e-mails easily and efficiently. The contribution made by this research has enabled the blind people to send and receive voice based e-mail messages in their native language with the help of a mobile device. Our proposed system GUI has been evaluated against the GUI of a traditional mail server. We found that our proposed architecture performs much better than that of the existing GUIS. In this project we use voice to text and text to voice technique access for blind people.

Published by: K. Jayachandran, P. Anbumani

Author: K. Jayachandran

Paper ID: V3I3-1462

Paper Status: published

Published: June 6, 2017

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Classification and Retrieval of Texture Images Using Gabor Filtering and Statistical Features

Content Based Image Retrieval (CBIR) is a developing trend in Digital Image processing. CBIR is used to search and retrieve the query image from wide range of database. Many features and algorithms can be used for efficient image retrieval. The features of CBIR as colors, shapes, textures etc. can be derived from image itself. This project represents the retrieval of images based on the texture images. The focus of project is on the images processing aspects and particular using texture features. With the help of Gabor filter features and some statistical feature of texture images we form a feature vector for extraction of features. For retrieval of images these features are useful. The most accurate result is obtained using Gabor features applied on Brodatz texture database. For comparing and finding similarity between features of query image and another image in the database is done by using Euclidean distance, Vector cosine angle distance and Manhattan distance. To analyze the better performance of retrieval of images these distances we plot the precision and recall graph with number of retrieved images respectively.

Published by: Vaishnavi Gadewar, Apoorva Deshmukh, Akshay Ekurge, Ashok Shinde

Author: Vaishnavi Gadewar

Paper ID: V3I3-1463

Paper Status: published

Published: June 6, 2017

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