Articles — Project / Lab Report

Human life has developed in many aspects since the evolution of computer started. The main function of creating new technologies is to make human life easier. New technologies are being invented everyday which creates limitless opportunities for developers to make use of these technologies to serve a specific purpose or task. The Advertising used to be print paper or TV ads. Today mobile and online video creates new ways to contact with customers. Today Ads are kind of the most popular online advertising market in the world and trading ad spaces over the Internet. Currently the social online ads like Facebook and YouTube have some preferred set of users they wish to reach by showing their ads but some cases force the users to watch their Advertising. Ethan Zuckerman wad created the first pop-up advertising on the web was 15-Aug-2014. The pop-up advertising most using in the pc application and browser, and APPs for smartphone. The small internet windows that pop up on your screen can be useful, annoying or dangerous often used by advertisers to get your attention or by viruses to trick you into clicking on them. This guide gives them basic information about your identity. Some dangerous pop-up can leak your private information like your name, number, credit card member, and etc. In this paper we sum up, all these facts contribute to show how danger the pop-up advertising with developing new pop-up advertising to leak the user identity.

Benford law states that the occurrence of digits from 0-9 in a large set of data is not uniformly distributed but instead in a decreasing logarithmic distribution with 1 occurring at most. Almost all set of data follows this trend however this law is widely used as a base for various fraud detection and forensic accounting. Benford’s law is an observation that leading digits in data derived from measurements doesn’t follow uniform distribution. Different financial statements such as cash flows, income statement and balance sheet of the 20 tech companies of the Fortune 500 are analyzed in this project. Cash flow is the net amount of cash and cash-equivalents moving into and out of a business. Income statement is a financial statement that measures a company's financial performance over a specific accounting period. Balance sheet is a financial statement that summarizes a company's assets, liabilities and shareholders’ equity at a specific point in time. All of these data of financial statements are extracted from Morning Star database and are analyzed by Python program written by me.I also wrote the Python program to calculate Benford's second digit and third digit probability using the formula. I would like to thank Prof. Erin Wagner and Dr. Courtney Taylor for helping in this research project.

Laboratorio 3

Prática 9 de Tópicos de Física - CEFET

Reporte de practica

The purpose of this lab is to determine the spring constant of a given spring. This spring constant is given by the relation between the force exerted on the spring and the distance the spring is either stretched or compressed. This relationship is given through Hooke’s law which we are going to get a better understanding of throughout this lab.

Informe de laboratorio de Fisicoquímica 101. Calorimetría.

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.

Investigación sobre los premio Nobel