114 resultados para process architecture


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

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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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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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Dissertation presented to obtain the Ph.D degree in Chemistry

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Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

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A fundação de uma missão jesuita no Norte da Etiópia em 1603, na província do Tigré, pelo enérgico Pe. Pero Pais, S. J. teólogo, construtor e historiador vindo de Goa, tomou um forte impulso com a aliança pretendida com os Portugueses pelo imperador Susénios (1619-20) para o apoio militar contra os muçulmanos; e, sobretudo, após a sua conversão oficial à Igreja Católica Romana, em 1626. Uma dúzia de inovadores edifícios foram então construídos pelos Jesuítas na região paradisíaca em torno do Lago Tana: basílicas, igrejas, palácios e jardins, complexos palatinos e eclesiásticos, colégios, etc. A tipologia em cruz latina e ornatos incisos é deliberadamente diferente das igrejas ortodoxas etíopes, circulares e em madeira. A técnica de construção em pedra e cal, ignorada na Etiópia, significou uma revolução. No presente texto procura-se determinar a quem deve ser atribuído este inédito surto construtivo, deixando de lado as teorias tradicionais de pedreiros vindos de Portugal ou de construtores locais. Com base na evidência estilística e em referências de textos da época, atribui-se a inovação a padres e “irmãos” jesuitas com experiência de arquitectos na Índia portuguesa e a construtores de Goa e de Diu, definindo a arte portuguesa na Etiópia como uma província da arquitectura indo-portuguesa na Índia, prosseguida após a expulsão dos Jesuítas (1633) com os “castelos portugueses”, ou paços acastelados da nova capital, Gondar.

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

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The EM3E Master is an Education Programme supported by the European Commission, the European Membrane Society (EMS), the European Membrane House (EMH), and a large international network of industrial companies, research centers and universities

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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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Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.