China's space program : a new tool for PRC "soft power" in international relations?

When China launched an anti-satellite (ASAT) weapon in January 2007 to destroy one of its inactive weather satellites, most reactions from academics and U.S. space experts focused on a potential military “space race” between the United States and China. Overlooked, however, is China’s growing role as global competitor on the non-military side of space. China’s space program goes far beyond military counterspace applications and manifests manned space aspirations, including lunar exploration. Its pursuit of both commercial and scientific international space ventures constitutes a small, yet growing, percentage of the global space launch and related satellite service industry. It also highlights China’s willingness to cooperate with nations far away from Asia for political and strategic purposes. These partnerships may constitute a challenge to the United States and enhance China’s “soft power” among key American allies and even in some regions traditionally dominated by U.S. influence (e.g., Latin America and Africa). Thus, an appropriate U.S. response may not lie in a “hard power” counterspace effort but instead in a revival of U.S. space outreach of the past, as well as implementation of more business-friendly export control policies.

Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science.

A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems.

Gestão de Informação: Inteligência Artificial

A informação e a sua gestão é considerada nos nossos dias como o principal factor de sucesso ou insucesso para qualquer actividade económica ou social. O desenvolvimento de novas tecnologias força todos os agentes econcómicos a desenvolverem-se nestas áreas para conseguirem vantagens concorrenciais. Este trabalho visa fazer uma apresentação de uma “nova” área da ciência da computação a que se chamou Inteligência Artificial.

Stratigraphic interpretation of Well-Log data of the Athabasca Oil Sands of Alberta Canada through Pattern recognition and Artificial Intelligence

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Electron transfer complex between nitrous oxide reductase and cytochrome c552 from Pseudomonas nautica: kinetic, nuclear magnetic resonance, and docking studies

Biochemistry. 2008 Oct 14;47(41):10852-62. doi: 10.1021/bi801375q

Avaliação de recursos hídricos e viabilidade da recarga artificial de aquíferos na bacia hidrográfica dos engenhos na Ilha de Santiago - Cabo Verde

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão da Água

Evaluation of Pozzolanic Reactivity of Artificial Pozzolans

Materials Science Forum Vols. 730-732 (2013) pp 433-438

Avaliação da durabilidade de fitas metálicas embebidas em argamassa bastarda, sujeita a envelhecimento artificial

Dissertação para obtenção do Grau de Mestre em Engenharia Civil – Perfil de Construção

Avaliação da durabilidade de fios metálicos embebidos em argamassa de cal aérea e pozolana sujeita a envelhecimento artificial

Dissertação para obtenção do Grau Mestre em Engenharia Civil – Perfil de Construção

Native american women in sherman Alexie's short stories: stereotypical representations

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Línguas, Literaturas e Culturas

Staging the Scientist: The Representation of Science and its Processes in American and British Drama

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Estudos Ingleses e Norte Americanos

Attractiveness of European masters under Bologna constraints: The South American case

This paper studies strategies to attract students from outside Europe to European preexperience masters. We characterize the value added by such masters through interviews with key players at the universities and multinational recruiting corporations. We considered a strategy for segmenting international students in the US and extended it to the European market. We have analyzed data from international applications to Nova SBE as a proxy for applications in European institutions. Based on that analysis we conclude with recommendations to attract suitable candidates from outside Europe. In particular we also provided three different solutions to attract students from the southern hemisphere: we conclude that European institutions should (a) increase the spring semester intake, (b) provide bridging courses for some students, or (c) could place some accepted candidates in internships before starting classes.

Machine diagnosis based on artificial immune systems

Nowadays, many of the manufactory and industrial system has a diagnosis system on top of it, responsible for ensuring the lifetime of the system itself. It achieves this by performing both diagnosis and error recovery procedures in real production time, on each of the individual parts of the system. There are many paradigms currently being used for diagnosis. However, they still fail to answer all the requirements imposed by the enterprises making it necessary for a different approach to take place. This happens mostly on the error recovery paradigms since the great diversity that is nowadays present in the industrial environment makes it highly unlikely for every single error to be fixed under a real time, no production stop, perspective. This work proposes a still relatively unknown paradigm to manufactory. The Artificial Immune Systems (AIS), which relies on bio-inspired algorithms, comes as a valid alternative to the ones currently being used. The proposed work is a multi-agent architecture that establishes the Artificial Immune Systems, based on bio-inspired algorithms. The main goal of this architecture is to solve for a resolution to the error currently detected by the system. The proposed architecture was tested using two different simulation environment, each meant to prove different points of views, using different tests. These tests will determine if, as the research suggests, this paradigm is a promising alternative for the industrial environment. It will also define what should be done to improve the current architecture and if it should be applied in a decentralised system.

Predicting market movement with Artificial Neural Networks

This paper presents an application of an Artificial Neural Network (ANN) to the prediction of stock market direction in the US. Using a multilayer perceptron neural network and a backpropagation algorithm for the training process, the model aims at learning the hidden patterns in the daily movement of the S&P500 to correctly identify if the market will be in a Trend Following or Mean Reversion behavior. The ANN is able to produce a successful investment strategy which outperforms the buy and hold strategy, but presents instability in its overall results which compromises its practical application in real life investment decisions.