Development of mixed matrix membranes with metal - organic framework and ionic liquids for biogas upgrading

Dissertation presented to Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa for obtaining the master degree in Membrane Engineering

Customer Lifetime Value: a framework for application in the insurance industry - Building a Business Process to Generate and Maintain an Automatic Estimation Agent

Research Project submited as partial fulfilment for the Master Degree in Statistics and Information Management

Multi-GPU support on the marrow algorithmic skeleton framework

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

SPf66 vaccine trial in Brazil: conceptual framework study design and analytical approach

This paper describes the study population and the study design of the phase III field trial of the SPf66 vaccine in Brazil. Assessment of validity and precision principles necessary for the appropriate evaluation of the protective effect of the vaccine are discussed, as well as the results of the preliminary analyses of the gathered data. The analytical approach for the estimation of the protective effect of the vaccine is presented. This paper provides the conceptual framework for future publications.

Framework para a construção de “portais de negócio” para gestão de solicitações de consumidores IaaS na HP Cloud

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Gas adsorption in the MIL-53(AI) metal organic framework. Experiments and molecular simulation

Dissertação para obtenção do Grau de Doutor em Engenharia Química

O estudo dos media na comunicação B2B, influências e desafios

Dissertação de Mestrado em Ciências da Comunicação, Área de Especialidade Estudo dos Media e do Jornalismo

A framework for developing motion-based games

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The building blocks of social entrepreneurship: empirical model and framework

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

How to potentiate the business model of Mobitto for B2B?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Watershed-scale runoff routing and solute transport in a spatially aggregated hydrological framework

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

A knowledge-based framework to facilitate E-training implementation

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

A framework for efficient model transformations

The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.

O papel das Redes Sociais como ferramenta de Marketing: Um estudo das empresas B2B nacionais

O objetivo deste estudo é explorar o impacto e benefícios das redes sociais no setor business-to-business (B2B) – um fenómeno recente e que, por isso, constituiu uma área ainda pouco explorada em termos académicos, particularmente em Portugal. Com base num inquérito realizado a 100 empresas portuguesas a operar em contexto B2B, este estudo demonstra claramente que os benefícios das redes sociais não são exclusivos das empresas business-to-consumer (B2C), contrariando assim a convicção que a aposta nestas plataformas constitui um desperdício para os mercados B2B. As empresas foram aliás unânimes em reconhecer a importância das redes sociais, contudo, nem todas parecem beneficiar ao máximo destas plataformas. Concluiu-se que, mais do que a área ou setor de atuação, fatores como o planeamento e compromisso determinam os resultados obtidos nas redes sociais. Evidência disso mesmo é o facto de 70% das empresas que atualizam o perfil do Facebook diariamente afirmarem já ter conseguido novas oportunidades de negócio com base em contactos feitos através das redes sociais, sendo que esta percentagem diminui consideravelmente (37%) quando se consideram as restantes empresas, com atualização menos frequente. Contudo, fica claro também que as empresas B2B portuguesas parecem não utilizar as redes sociais como veículo primordial para alcançar novas oportunidades de negócio, mas sim para desenvolver a notoriedade e imagem da marca, bem como aumentar o envolvimento e as experiências positivas com os clientes e potenciais clientes. Este estudo revela assim que, em contexto B2B, as empresas portuguesas encontram-se ativamente a fazer negócios através das redes sociais, embora exista ainda margem para se desenvolverem e tirarem ainda mais partido destas plataformas.