88 resultados para Global Optimization
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Dissertação para obtenção do Grau de Mestre em Biotecnologia
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3rd Historic Mortars Conference, 11-14 September 2013, Glasgow, Scotland
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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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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
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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
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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
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation.
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O tema da presente dissertação inscreve-se na complexa problemática da informação de suporte à tomada de decisão de infraestruturas básicas, com destaque para as denominadas “Trans European Networks – TENS”, infraestruturas de transportes, energia e telecomunicações. Tais processos de decisão, para além das abordagens mais comuns utilizadas nos Estudos de Impacte Ambiental (EIA), podem (devem?) considerar outras perspetivas assentes em considerações de impactes no ciclo de vida, em concreto a Análise do Ciclo de Vida (ACV), e integrar abordagens de procura de sustentabilidade nas vertentes económicas, ambiental e social. Aí chegados, estaremos mais próximos das estradas com melhor desempenho ambiental. A importância do tema firma-se na constatação da ansiedade e expectativas que normalmente envolvem os processos de decisão deste tipo de infraestruturas, principalmente quando as pessoas tomam conhecimento (1) que a sua concretização pode gerar impactes negativos no ambiente, de forma não limitada ao espaço local onde se inserem, mas antes causando efetivos danos ambientais a uma escala mais global. Nestas circunstâncias é comum sobrevirem processos de tensão entre as necessidades locais, promotoras dos empreendimentos, e as dinâmicas globais, conflitos que podem ser evitados, ou pelo menos atenuados, na medida em que os respetivos processos de decisão sejam mais informados e mais esclarecidos e esclarecedores da opinião pública. Não há dúvida que este género de projetos/empreendimentos/infraestruturas serão tendencialmente mais bem aceites pela Sociedade na medida em que sejam vistos local, regional e globalmente, como “ambientes construídos” que se baseiam na eficiência dos recursos e em princípios ecológicos saudáveis, que contribuem para o desenvolvimento económico, para a melhoria das condições de vida das populações e para a coesão social e territorial.Para um processo de decisão ser convenientemente instruído, é crucial que realce todos estes aspetos perante a sociedade. A estrutura adotada no trabalho articula uma primeira parte de embasamento teórico, com uma segunda parte que experiencia o estudo de um caso concreto, a abordagem de sustentabilidade na procura de uma estrada com satisfatório desempenho ambiental.
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Field Lab of Entrepreneurial Innovative Ventures
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Wind turbines and solar panels are becoming second nature in Portugal, as its occurrence in the country becomes ubiquitous. Somehow, one could argue that renewable energy in Portugal is in the process of ‘naturalisation’ as part of a new – mechanised, but environmentally benign – landscape. Portuguese Institute for the Conservation of Nature and Biodiversity (ICNB) has shown an ambiguous stance on this issue, defending global concerns towards renewable energy, while at the same time attempting to engage locals in the preservation of extensive ‘classified areas’. In the course of this research, we tried to focus on these incongruities and to analyse how they are impacting local communities during the process of wind power installation.
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The forces of globalization are changing the skills and competences required by effective global leadership. Accordingly, Business Schools (BSs) must adapt curriculums to the new queries so they, in fact, do develop future leader able to meet the challenges ahead. Increasing attention is being placed on global mindset (GM). Yet, this concept lacks research support. To help fulfilling this gap this research analyzes the effect that cultural intelligence (CQ) and a set of both personal and psychological characteristics have on GM enhancement. Based on a sample of academic students (N=220), findings suggested that CQ, vacations abroad and cosmopolitanism directly increase GM, while # language, PsyCap, TA and CSA do it indirectly. Practical implications for BSs and conclusions finalize this study.
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The objective of this work project is to analyse and discuss the importance of the “Cost to Serve” as a differentiation key factor, by accessing cost to serve customers of a Portuguese subsidiary of a multinational company, which is operating in the sector of fast moving consumer goods (FMCG) – Unilever – Jerónimo Martins (UJM). I will also suggest and quantify key proposals to decrease costs and increase customers’ value. Hence, the scope of this work project is focused on logistics and distribution processes of the company supply chain.