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Project report template for Erciyes University

RM template

Enkelt å bruke templat til PPU3210 semesteroppgaven.

A dual energy radiography method using basis decomposition was developed, the process to do it is shown and it is compared against an alternate more direct method of analyzing the data using the logarithm of the original data, concluding that this second method does work but it is not better than basis decomposition.

Lab report template for PHYS152 Fundamentals of Physics 2 at St. Mary's College of Maryland (SMCM)

Template para relatórios em formato de artigo em duas colunas

This project report template combines elegant formatting with a clean layout, and is the perfect way to quickly turn your notes and results into a complete document. Originally created by Frits Wenneker, the template is now pre-loaded in Overleaf for easy editing in your browser. You can use Overleaf to create, edit and publish your report with nothing to install and no sign up required - simply click the 'Open as Template' button to create your project report instantly. If you're new to LaTeX, checkout our free online LaTeX course - it covers all the steps you need to create a complete document with figures, tables and bibliography.

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.

A basic report template for use at Reykjavík University