Articles — Project / Lab Report

MATLAB final report for MATH 210-01

This paper is a report of an assignment of a course Computational Intelligence. The main goal of the assignment is to apply computational intelligence techniques in a practical setting - building a controller for a race car in The Open Racing Car Simulator (TORCS) using artificial neural network and evolving that network with evolutionary algorithm techniques. Keywords: computational intelligence, car controller, artificial neural network

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.

This is the third chapter from my Master Thesis (Automatic Game Generation). This chapter will provide a review of the past work on Procedural Content Generation. It highlights different efforts towards generating levels and rules for games. These efforts are grouped according to their similarity and sorted chronologically within each group.

Suppose you have a data matrix comprised of several stock options over a set period of time. How do you choose the optimal collection of stocks such that you maximize your returns for a given level of risk? What Markowitz found was an elegant equation. What we realized rather quickly is there does not exist a closed form solution to this problem. Instead we use the tried and tested linear approximation. By transforming this problem into Matrix multiplication, we are able to quickly and (with desired accuracy) approximate the optimal solution, using only linear algebra.

The use of Customer Relationship Managers to foster customers’ loyalty has become one of the most common business strategies in the past years. However, CRM solutions do not fill the “abundance of happily ever-after relationships” that business needs, and each client's perception is different in the buying process. Therefore, the experience must be precise, in order to extend the loyalty period, of a customer as much as possible. One of the economic sectors in which CRM's have improved this experience is retailing, where the personalized attention to the customer is a key factor among others. However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term. A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRM’s into companies. Thanks to this approximation, the information is complemented and the final outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of the service quality, from consumer’s perspective in both on-line and off-line retailing sector. Secondly, we plan to go a step forward and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for an specific retailing sector and its product: Sports Running Shoes. Furthermore, we design and develop a structured survey and give it to a diverse group of users, with questions that evaluate the contrast an influence of service quality, customer satisfaction and customer loyalty in both on-line and off-line environments.

This article proposes to obtain a statistical model of the daily peak electricity load of a household located in Austin-TX,USA. The Box-Jenkins methodology was followed to obtain the best fit for the time-series. Four models provided a good fit: ARIMA(0,1,2), ARIMA(1,1,2), SARIMA(0,1,2)(0,1,1) and SARIMA(1,1,2)(0,1,1). The model with the highest Akaike Information Criteria was the ARIMA(1,2,2). However, the model with the highest forecast accuracy was the SARIMA(1,1,2)(0,1,1), which obtained an RMSE of 0.296 and a MAPE Of 15.00.

The impact crater of a small metal ball of 63.7 grams (0.0637kg) is dropped from 8 different heights, ranging from 0.20m to 0.90m was observed. A mean was measured for the craters diameter. Using the equation E=mg$\Delta$h given that we have m, and g is a constant of 9.81 we can find the kinetic energy of the ball on impact. The relationship between crater diameter, D, and impact energy, E, is given by D=kE$^n$ where K is constant and n is found by the gradient of the graph and is also constant. This can be modified to give $\log D = n\log E + \log k$.