LaTeX templates and examples — Reports
Write up experiments and research with LaTeX templates for project and lab reports—including layout guidelines to help guide you through the writing process.
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Web security issues remain a major challenge with numerous security concerns, Distributed Denial of Service Attack (DDos) leads among these. It was evolved from DOS and its main purpose is to consume large amount of server resources so that the server cannot provide service to normal users. Attackers usually gain access to large number of computers by exploiting the vulnerabilities to set up attack armies (i.e., Botnets). This paper will review and analyse different existing DDoS detecting techniques against different parameters, and propose a new hybrid architecture for the defence mechanism of DDoS attack.

Esse trabalho tem como objetivo formular problemas como busca.

I prepared this template for my technical report writing class at Bilkent University. It is based on the IEEE peer review class.

Relatorio Basico - ON

Este é um modelo de relatório utilizado na matéria Medidas Elétricas e magnéticas IFBA Paulo Afonso

https://www.overleaf.com/3981477ddsxjk

To design this scoreboard, with operates manual buttons that aid in these small scale tournaments of the cricket match. In order for the scoreboard to effective, it needs to be affordable, portable and versatile in terms of sport it can accommodate and how it can be controlled.

In the world of information technology where huge amount of useful information is available and easily accessible, we investigate an approach to utilize this information in Algorithmic Trading. Algorithmic trading involves implementation of a strategy using computer programs to automatically buy and sell financial instruments to generate profit at a speed and frequency that is impossible for a human trader. High Frequency Trading (HFT) is one type of algorithmic trading characterized by high turnover and high order-to-trade ratios. There are different strategies that can be applied to HFT. We propose a framework to utilize information available in the form of news articles, which can be used in stock trading at high frequency. We use semantic values of news articles for different stocks to generate buy/sell signals at a high frequency. We demonstrate the performance of our framework by simulating stock trade based on generated buy/sell signals for a small period of time.

Propuesta : Amazon
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