Volume 2, Issue 9, October 2012

Impacts & Minimization of Interference in Ad-hoc Network [Download Paper]

Rahul Kumar, Fakir M. Alamgir and Christer Andrews

Abstract— A wireless adhoc network is a new archetype in wireless communication that doesn’t require any fixed infrastructure such as base stations or mobile switching centre. Reducing interference is one of the main challenges in wireless ad hoc networks. The main aim of this thesis is to study various issues pertaining to wireless adhoc network and find ways to diminish the interference effect in this network. Starting with basic knowledge of adhoc networks, its applicability, security issues, and this thesis digs into details of existing research works in minimization of interference effect in adhoc network. Next the thesis work focuses on new ways to lessen the interference effect in adhoc network. A new solution is proposed to achieve our main goal that is both cost effective and simple. It is observed that the proposed minimi- zation technique is an effective one. 
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Real time Face Recognition using Curvelet Transform and Complete Local Binary Pattern [Download Paper

Sirshendu Arosh, Subhasis Chand and G.N.Rathna

Abstract—In this paper, we propose a novel method of face recognition. The method involves Curvelet Transform, Complete Local Binary Pattern (CLBP), PCA and SVM. Curvelet transform function is a multi resolution and directional method which is efficient in representing curve singularities and edges in an image. An image is decomposed into curvelet subbands of three different resolutions resulting in a total nine output images. Later on, a CLBP applied to extract the descriptive feature sets. A non-linear uncorrelated feature sets are obtained after applying PCA. The training of the dataset is carried out using SVM to obtain feature face vectors. The experimental results were tested on the ORL, Faces94 and Grimace databases and found to be about 98.5%, 99.74% and 99.45% accurate respectively. The real-time implementation is carried out on the PC and Beagle Board using webcam.