When it comes to making a long-distance call, it's hard to top NASA's Deep Space Network. It’s the largest and most sensitive scientific telecommunications system in the world. so our objective is
To archive knowledge of operations procedures.
provide a capability to assist in execution monitoring;
Provide a capability for automatically Constructing the plan to be executed and monitored.
This paper describes the application area of DSN antenna operations, describes the plan to reduce the distance.
Use the psfrag package to replace strings in EPS images, so that they are typeset with the same body font as your LaTeX document. Note that your project needs to be compiled with the LaTeX dvipdf engine. To configure this, after creating a new project, click on the Overleaf menu icon above the file list panel, and make sure the "Compiler" setting is set to "LaTeX". (The sample image is taken from the psfrag package.)
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.