66 resultados para Multi-Attribute Rating Technique


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Dissertation presented to obtain the Ph.D degree in Computational Biology

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Nesta dissertação é realizado o estudo de um motor em disco polifásico com armadura convencional e rotor que pode ser convencional, em alumínio, ou composto por material supercondutor de alta temperatura multi‐semente. O motor com o rotor em alumínio apresenta um comportamento assíncrono bem definido, baseado na lei geral de indução de eletromotrizes no induzido. Contudo, ao ser mergulhado em azoto líquido, evidencia melhores características eléctricas, tanto do induzido como do indutor, mesmo que o núcleo ferromagnético convencional possa exibir degradação magnética. O motor com o rotor SAT exibe um comportamento distinto, evidenciando ambos os regimes síncrono e assíncrono estáveis. O regime síncrono fica caracterizado pelo fenómeno de aprisionamento de campo, que garante que o rotor gire síncrono com o campo girante do estator. Em regime assíncrono, para um determinado valor de binário resistente aplicado superior ao electromagnético máximo desenvolvido pelo motor, o fenómeno de escoamento de campo está presente, sendo o binário electromagnético motor reforçado por um binário extra de perdas de carácter resistivo desenvolvidas no rotor devido à interacção da densidade de corrente a campos eléctricos que se estabelecem no rotor. Neste caso, o fenómeno de escoamento de campo não é devido a forças de Lorentz que se definem na matriz de Abrikosov, mas sim devido a esta ser “puxada” pelo campo girante do estator, ficando a matriz a deslizar sobre o rotor. De modo a obter as características dos sistemas electromecânicos em estudo é realizada uma análise teórica, baseada na teoria convencional das máquinas eléctricas, com o objectivo de compreender alguns dos fenómenos do motor de fluxo axial, e uma análise baseada num programa comercial de elementos finitos onde o fenómeno da supercondutividade é simulado com base na relação entre o campo elétrico e a densidade de corrente pela lei da potenciação (E‐J power law). O ensaio dos motores referidos é realizado para comparar ambos os sistemas e de realçar o princípio de funcionamento e as características mais relevantes de cada um. Da análise realizada é desenvolvido um modelo que caracteriza o funcionamento da máquina com o rotor com SAT.

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Fundação para a Ciência e a Tecnologia (FCT) - PhD grant (SFRH/BD/62568/2009)

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The purpose of this paper is to conduct a methodical drawback analysis of a financial supplier risk management approach which is currently implemented in the automotive industry. Based on identified methodical flaws, the risk assessment model is further developed by introducing a malus system which incorporates hidden risks into the model and by revising the derivation of the most central risk measure in the current model. Both methodical changes lead to significant enhancements in terms of risk assessment accuracy, supplier identification and workload efficiency.

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11TH INTERNATIONAL COLLOQUIUM ON ANCIENT MOSAICS OCTOBER 16TH  20TH, 2009, BURSA TURKEY Mosaics of Turkey and Parallel Developments in the Rest of the Ancient and Medieval World: Questions of Iconography, Style and Technique from the Beginnings of Mosaic until the Late Byzantine Era

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This dissertation aims to guarantee the integration of a mobile autonomous robot equipped with many sensors in a multi-agent distributed and georeferenced surveillance system. The integration of a mobile autonomous robot in this system leads to new features that will be available to clients of surveillance system may use. These features may be of two types: using the robot as an agent that will act in the environment or by using the robot as a mobile set of sensors. As an agent in the system, the robot can move to certain locations when alerts are received, in order to acknowledge the underlying events or take to action in order to assist in resolving this event. As a sensor platform in the system, it is possible to access information that is read from the sensors of the robot and access complementary measurements to the ones taken by other sensors in the multi-agent system. To integrate this mobile robot in an effective way it is necessary to extend the current multi-agent system architecture to make the connection between the two systems and to integrate the functionalities provided by the robot into the multi-agent system.

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Double degree. 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 and Warsaw School of Economics

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This paper examines the impact of Sovereign rating changes on the aggregate stock and bond market returns both in emerging and developed countries. Rating downgrades in emerging markets are associated with significant negative wealth effects both in the stock and bond markets. Moreover, the effects of rating downgrades persist up to six-months after the event. In contrast, upgrades in emerging markets convey no information. Rating changes in developed markets have no significant impact on either stock and bond market returns. Rating agencies act pro-cyclically, downgrading countries in bad times and, consequently, contributing to the instability in emerging markets.

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Ion Mobility Spectrometry coupled with Multi Capillary Columns (MCC -IMS) is a fast analytical technique working at atmospheric pressure with high sensitivity and selectivity making it suitable for the analysis of complex biological matrices. MCC-IMS analysis generates its information through a 3D spectrum with peaks, corresponding to each of the substances detected, providing quantitative and qualitative information. Sometimes peaks of different substances overlap, making the quantification of substances present in the biological matrices a difficult process. In the present work we use peaks of isoprene and acetone as a model for this problem. These two volatile organic compounds (VOCs) that when detected by MCC-IMS produce two overlapping peaks. In this work it’s proposed an algorithm to identify and quantify these two peaks. This algorithm uses image processing techniques to treat the spectra and to detect the position of the peaks, and then fits the data to a custom model in order to separate the peaks. Once the peaks are separated it calculates the contribution of each peak to the data.

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Environmental pollution is one of the major and most important problems of the modern world. In order to fulfill the needs and demands of the overgrowing human population, developments in agriculture, medicine, energy sources, and all chemical industries are necessary (Ali 2010). Over the last century, the increased industrialization and continued population growth led to an augmented production of environmental pollutants that are released into air, water, and soil, with significant impact in the degradation of various ecosystems (Ali 2010, Khan et al. 2013).(...)

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The following work project illustrates the strategic issues There App, a mobile application, faces regarding the opportunity to expand from its current state as a product to a multisided platform. Initially, a market analysis is performed to identify the ideal customer groups to be integrated in the platform. Strategic design issues are then discussed on how to best match its value proposition with the identified market opportunity. Suggestions on how the company should organize its resources and operational processes to best deliver on its value proposition complete the work.

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An energy harvesting system requires an energy storing device to store the energy retrieved from the surrounding environment. This can either be a rechargeable battery or a supercapcitor. Due to the limited lifetime of rechargeable batteries, they need to be periodically replaced. Therefore, a supercapacitor, which has ideally a limitless number of charge/discharge cycles can be used to store the energy; however, a voltage regulator is required to obtain a constant output voltage as the supercapacitor discharges. This can be implemented by a Switched-Capacitor DC-DC converter which allows a complete integration in CMOS technology, although it requires several topologies in order to obtain a high efficiency. This thesis presents the complete analysis of four different topologies in order to determine expressions that allow to design and determine the optimum input voltage ranges for each topology. To better understand the parasitic effects, the implementation of the capacitors and the non-ideal effect of the switches, in 130 nm technology, were carefully studied. With these two analysis a multi-ratio SC DC-DC converter was designed with an output power of 2 mW, maximum efficiency of 77%, and a maximum output ripple, in the steady state, of 23 mV; for an input voltage swing of 2.3 V to 0.85 V. This proposed converter has four operation states that perform the conversion ratios of 1/2, 2/3, 1/1 and 3/2 and its clock frequency is automatically adjusted to produce a stable output voltage of 1 V. These features are implemented through two distinct controller circuits that use asynchronous time machines (ASM) to dynamically adjust the clock frequency and to select the active state of the converter. All the theoretical expressions as well as the behaviour of the whole system was verified using electrical simulations.

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Structural connectivity models based on Diffusion Tensor Imaging (DTI) are strongly affected by the technique’s inability to resolve crossing fibres, either intra- or inter-hemispherical connections. Several models have been proposed to address this issue, including an algorithm aiming to resolve crossing fibres which is based on Diffusion Kurtosis Imaging (DKI). This technique is clinically feasible, even when multi-band acquisitions are not available, and compatible with multi-shell acquisition schemes. DKI is an extension of DTI enabling the estimation of diffusion tensor and diffusion kurtosis metrics. In this study we compare the performance of DKI and DTI in performing structural brain connectivity. Six healthy subjects were recruited, aged between 25 and 35 (three females). The MRI experiments were performed using a 3T Siemens Trio with a 32-channel head coil. The scans included a T1-weighted sequence (1mm3), and a DWI with b-values 0, 1000 and 2000 s:mm

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O processo de reestruturação do setor elétrico deu origem à criação de diferentes estruturas de mercado, tendo como objetivo o aumento da competitividade e eficiência. Atualmente, a comercialização de energia elétrica pode ser realizada com recurso a mercados em bolsa ou através da celebração de contratos bilaterais. Sendo o mercado em bolsa caraterizado por uma forte volatilidade de preços, e considerando a atribuição de incentivos para o crescimento da geração renovável não controlada, revela-se importante analisar o impacto de níveis elevados de energia eólica sobre os preços do mercado diário. Neste contexto, a presente dissertação tem como principais objetivos estudar e implementar os algoritmos de preço marginal único e preço marginal local, normalmente utilizados no mercado em bolsa, bem como dotar o simuladormultiagente MANREM com um módulo para simular os mercados diário e intradiário, e analisar o impacto de níveis elevados de energia eólica sobre os preços do mercado diário. O estudo detalhado de um caso prático e os resultados obtidos com recurso ao simuladormulti-agente permitiram replicar, em computador, o impacto esperado, sendo possível observar uma redução de preços e uma alteração dos compromissos de produção dos produtores convencionais. O estudo contemplou a simulação do mercado diário com recurso aos algoritmos de preço marginal único e preço marginal local, podendo constatar-se que a ferramenta multi-agente constitui um auxiliar importante à tomada de decisão nos mercados de eletricidade.