933 resultados para Ultrafast switches


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Fatty acids are the main substrates used by mitochondria to provide myocardial energy under normal conditions. During heart remodeling, however, the fuel preference switches to glucose. In the earlier stages of cardiac remodeling, changes in energy metabolism are considered crucial to protect the heart from irreversible damage. Furthermore, low fatty acid oxidation and the stimulus for glycolytic pathway lead to lipotoxicity, acidosis, and low adenosine triphosphate production. While myocardial function is directly associated with energy metabolism, the metabolic pathways could be potential targets for therapy in heart failure. © 2013 by Lippincott Williams & Wilkins.

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Germanium- and tellurium-based glasses have been largely studied due to their recognized potential for photonics. In this paper, we review our recent studies that include the investigation of the Stokes and anti-Stokes photoluminescence (PL) in different glass systems containing metallic and semiconductor nanoparticles (NPs). In the case of the samples with metallic NPs, the enhanced PL was attributed to the increased local field on the rare-earth ions located in the proximity of the NPs and/or the energy transfer from the metallic NPs to the rare-earth ions. For the glasses containing silicon NPs, the PL enhancement was mainly due to the energy transfer from the NPs to the Er3+ ions. The nonlinear (NL) optical properties of PbO-GeO 2 films containing gold NPs were also investigated. The experiments in the pico- and subpicosecond regimes revealed enhanced values of the NL refractive indices and large NL absorption coefficients in comparison with the films without gold NPs. The reported experiments demonstrate that germanate and tellurite glasses, having appropriate rare-earth ions doping and NPs concentration, are strong candidates for PL-based devices, all-optical switches, and optical limiting. © 2013 Cid Bartolomeu de Araujo et al.

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Pós-graduação em Engenharia Elétrica - FEIS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Química - IQ

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Pós-graduação em Saúde Coletiva - FMB

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Os Sistemas de Detecção e Prevenção de Intrusão (Intrusion Detection Systems – IDS e Intrusion Prevention Systems - IPS) são ferramentas bastante conhecidas e bem consagradas no mundo da segurança da informação. Porém, a falta de integração com os equipamentos de rede como switches e roteadores acaba limitando a atuação destas ferramentas e exige um bom dimensionamento de recursos de hardware como processamento, memória e interfaces de rede de alta velocidade, utilizados para implementá-las. Diante de diversas limitações deparadas por pesquisadores e administradores de redes, surgiu o conceito de Rede Definida por Software (Software Defined Network – SDN), que ao separar os planos de controle e de dados, permite adaptar o funcionamento da rede de acordo com as necessidades de cada um. Desta forma, devido à padronização e flexibilidade propostas pelas SDNs, e das limitações apresentadas dos IPSs, esta dissertação de mestrado propõe o IPSFlow, um framework que utiliza uma rede baseada na arquitetura SDN e o protocolo OpenFlow para a criação de um IPS com ampla cobertura e que permite bloquear um tráfego caracterizado pelos IDS(s) como malicioso no equipamento mais próximo da origem. Para validar o framework, experimentos no ambiente virtual Mininet foram realizados utilizando-se o Snort como IDS para analisar tráfego de varredura (scan) gerado pelo Nmap de um host ao outro. Os resultados coletados apresentam que o IPSFlow funcionou conforme planejado ao efetuar o bloqueio de 85% do tráfego de varredura.

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Pós-graduação em Engenharia Elétrica - FEIS

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In an ever more competitive environment, power distribution companies must satisfy two conflicting objectives: minimizing investment costs and the satisfaction of reliability targets. The network reconfiguration of a distribution system is a technique that well adapts to this new deregulated environment for it allows improvement of reliability indices only opening and closing switches, without the onus involved in acquiring new equipment. Due to combinatorial explosion problem characteristic, in the solution are employed metaheuristics methods, which converge to optimal or quasi-optimal solutions, but with a high computational effort. As the main objective of this work is to find the best configuration(s) of the distribution system with the best levels of reliability, the objective function used in the metaheuristics is to minimize the LOLC - Loss Of Load Cost, which is associated with both, number and duration of electric power interruptions. Several metaheuristics techniques are tested, and the tabu search has proven to be most appropriate to solve the proposed problem. To characterize computationally the problem of the switches reconfiguring was developed a vector model (with integers) of the representation of the switches, where each normally open switch is associated with a group of normally closed switches. In this model simplifications have been introduced to reduce computational time and restrictions were made to exclude solutions that do not supply energy to any load point of the system. To check violation of the voltage and loading criteria a study of power flow for the ten best solutions is performed. Also for the ten best solutions a reliability evaluation using Monte Carlo sequential simulation is performed, where it is possible to obtain the probability distributions of the indices and thus calculate the risk of paying penalty due to not meeting the goals. Finally, the methodology is applied in a real Brazilian distribution network, and the results are discussed.