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Farnaz Safdarian's Résumé
Farnaz Safdarian's Résumé
Farnaz Safdarian's Résumé
farnaz safdarian
Elaborato_profLS1819_M_ALM
Elaborato_profLS1819_M_ALM
Elaborato M
A.L.Mendicino
Polynomials with infinite solutions
Polynomials with infinite solutions
Can there be a polynomial with infinite solutions? If so, would it be a polynomial? Also, would it have an infinite solution set? Let's find out.
Rahul Chhabra
Kunal Gehlot's Resume
Kunal Gehlot's Resume
Simple Resume for Internship applicants. Created with the AltaCV template.
Kunal Gehlot
Ley de Ohm
Ley de Ohm
En este informe se presenta detalladamente el desarrollo de la primera practica de laboratorio, en la cual encontramos la ley de ohm y sus aplicaciones en los circuitos en paralelo y en serie, teniendo en cuenta las normas de laboratorio para así lograr la correcta finalización de dicha guía.
camilo cardenas
Resume Suyinyin
Resume Suyinyin
Personal CV Created based on the Modern CV template with the bankingstyle
Su Yinyin
A Regression based approach for link residual time prediction in MANETs
A Regression based approach for link residual time prediction in MANETs
Mobile ad-hoc network (MANET) is a collection of mobile terminals forming an infrastructure less and quick deployable network, which can communicate to each other via multiple hops or single hop. Such ad-hoc networks have always been important for various applications like defence applications especially for countries like India having boundaries and regions with large geographical diversity. Mobility attribute is a notable one in MANETs, as this leads to frequent topology changes which are the primary cause of route failure. A route is an ordered set of links, hence for predicting future availability of any particular route, it is important to estimate the availability of its currently available constituent links. This paper explores various link availability prediction model and proposes a least square polynomial regression-based statistical approach to predict the availability of link. Proposed approach assumes that movement of nodes are based on column mobility model i.e each node in the network is linearly moving with constant speed. Each node in the network periodically broadcasts hello packets to its neighbours to inform it’s availability in the network. Neighbour node receives hello packet and uses its signal strength to estimate distance between sender and receiver of hello packet. A monotonically decreasing signal strength of hello packets at receiver node indicates that nodes are moving away from each other and link between them may break in future so it starts link residual time prediction algorithm to predict the time when the distance between them will exceed the pre-defined threshold value. The proposed algorithm is simulated using NS 2.35. The performance of the algorithm has been analyzed for identified parameters. The results are also been compared by simulating other existing link prediction approaches based on interpolation.
Heman Pathak
Lemma 1.21
Lemma 1.21
Proofs for Analysis class Lemma 1.21
Yanan Zhang
Joshua Pearson's Résumé
Joshua Pearson's Résumé
Joshua Pearson's Résumé Created with the Modern CV template
Joshua Pearson