Conversor estático de potência tolerante a falhas

O trabalho apresentado nesta dissertação refere-se à concepção, projecto e realização experimental de um conversor estático de potência tolerante a falhas. Foram analisados trabalhos de investigação sobre modos de falha de conversores electrónicos de potência, topologias de conversores tolerantes a falhas, métodos de detecção de falhas, entre outros. Com vista à concepção de uma solução, foram nomeados e analisados os principais modos de falhas para três soluções propostas de conversores com topologias tolerantes a falhas onde existem elementos redundantes em modo de espera. Foram analisados os vários aspectos de natureza técnica dos circuitos de potência e guiamento de sinais onde se salientam a necessidade de tempos mortos entre os sinais de disparo de IGBT do mesmo ramo, o isolamento galvânico entre os vários andares de disparo, a necessidade de minimizar as auto-induções entre o condensador DC e os braços do conversor de potência. Com vista a melhorar a fiabilidade e segurança de funcionamento do conversor estático de potência tolerante a falhas, foi concebido um circuito electrónico permitindo a aceleração da actuação normal de contactores e outro circuito responsável pelo encaminhamento e inibição dos sinais de disparo. Para a aplicação do conversor estático de potência tolerante a falhas desenvolvido num accionamento com um motor de corrente contínua, foi implementado um algoritmo de controlo numa placa de processamento digital de sinais (DSP), sendo a supervisão e actuação do sistema realizados em tempo-real, para a detecção de falhas e actuação de contactores e controlo de corrente e velocidade do motor utilizando uma estratégia de comando PWM. Foram realizados ensaios que, mediante uma detecção adequada de falhas, realiza a comutação entre blocos de conversores de potência. São apresentados e discutidos resultados experimentais, obtidos usando o protótipo laboratorial.

Concessão Douro Litoral A32/IC2: passagens inferiores pré-fabricadas no sistema arco "Techspan" e muros ala de suporte de terras no sistema "Terra Armada": ponte sobre o rio Antuã: aplicação da tecnologia "Freyssinet"

O presente relatório visa apresentar o trabalho desenvolvido pelo estagiário na empresa Freyssinet – Terra Armada, S.A. (FTA). O relatório traduz o acompanhamento do estagiário na construção e aplicação da tecnologia Terra Armada em duas passagens inferiores, bem como o acompanhamento dos trabalhos efectuados pela empresa FTA no que diz respeito à aplicação da tecnologia Freyssinet na ponte sobre o rio Antuã, estando ambas as obras abordadas inseridas no Lote 8 – “A32/IC2 Oliveira de Azeméis/IP1 (S. Lourenço) trecho 2 e 3 – a cargo da empresa Alves Ribeiro S.A.. Com a construção dos trechos 2 e 3 da A32 surgiu a necessidade de se restabelecerem algumas ligações, o que fez com que após estudadas as soluções passíveis de serem utilizadas, se tivesse optado pela construção de túneis a céu aberto na execução dos restabelecimentos. Descreve-se neste documento a metodologia utilizada e as tecnologias patenteadas pela empresa Terra Armada, sendo estas compostas pelos Arcos “Techspan” e muros de ala executados com recurso à tecnologia “Terra Armada”. Em relação à ponte sobre o rio Antuã inserida no trecho 2 da empreitada de construção da A32, foi construída com recurso a cimbre auto-lançável e betonada in situ, havendo a necessidade de aplicação de tecnologias patenteadas pela Freyssinet no que diz respeito às actividades de pré-esforço, aparelhos de apoio nas ligações entre o tabuleiro e os pilares e juntas de dilatação na ligação do tabuleiro aos encontros. Apresentam-se os procedimentos de montagem e aplicação das tecnologias anteriormente referidas. No presente relatório estão descritos e explicados detalhadamente os trabalhos executados pela FTA, nomeadamente a aplicação da tecnologia “Terra Armada” no que diz respeito à construção das passagens inferiores, e a aplicação da tecnologia “Freyssinet” aplicada aquando da construção da ponte sobre o rio Antuã.

Reliability of self-reported weight and height among State bank employees

INTRODUCTION: Self-reported weight and height were compared with direct measurements in order to evaluate the agreement between the two sources. METHOD: Data were obtained from a cross-sectional study on health status from a probabilistic sample of 1,183 employees of a bank, in Rio de Janeiro State, Brazil. Direct measurements were made of 322 employees. Differences between the two sources were evaluated using mean differences, limits of agreement and intraclass correlation coefficient (ICC). RESULTS AND CONCLUSIONS: Men and women tended to underestimate their weight while differences between self-reported and measured height were insignificant. Body mass index (BMI) mean differences were smaller than those observed for weight. ICC was over 0.98 for weight and 0.95 for BMI, expressing close agreement. Combining a graphical method with ICC may be useful in pilot studies to detect populational groups capable of providing reliable information on weight and height, thus minimizing resources needed for field work.

Viability of Two New Mixture Design Methodologies for Self-Consolidating Concrete

This paper presents the results from an experimental study of the technical viability of two mixture designs for self-consolidating concrete (SCC) proposed by two Portuguese researchers in a previous work. The objective was to find the best method to provide the required characteristics of SCC in fresh and hardened states without having to experiment with a large number of mixtures. Five SCC mixtures, each with a volume of 25 L (6.61 gal.) were prepared using a forced mixer with a vertical axis for each of three compressive strength targets: 40, 55, and 70 MPa (5.80, 7.98, and 10.15 ksi). The mixtures' fresh state properties of fluidity, segregation resistance ability, and bleeding and blockage tendency, and their hardened state property of compressive strength were compared. For this study, the following tests were performed. slump-flow, V-funnel, L-box, box, and compressive strength. The results of this study made it possible to identify the most influential factors in the design of the SCC mixtures.

: SiC Multilayer Photonic Structures with Self Optical Bias Amplification

Characteristics of tunable wavelength pi'n/pin filters based on a-SiC:H multilayered stacked cells are studied both experimental and theoretically. Results show that the device combines the demultiplexing operation with the simultaneous photodetection and self amplification of the signal. An algorithm to decode the multiplex signal is established. A capacitive active band-pass filter model is presented and supported by an electrical simulation of the state variable filter circuit. Experimental and simulated results show that the device acts as a state variable filter. It combines the properties of active high-pass and low-pass filter sections into a capacitive active band-pass filter using a changing photo capacitance to control the power delivered to the load.

Programas de self-management em pacientes com DPOC: uma revisão sistemática

Introdução: Programas de self-management têm como objectivo habilitar os pacientes com estratégias necessárias para levar a cabo procedimentos específicos para a patologia. A última revisão sistemática sobre selfmanagament em DPOC foi realizada em 2007, concluindo-se que ainda não era possível fornecer dados claros e suficientes acerca de recomendações sobre a estrutura e conteúdo de programas de self-managament na DPOC. A presente revisão tem o intuito de complementar a análise da revisão anterior, numa tentativa de inferir a influência do ensino do self-management na DPOC. Objectivos: verificar a influência dos programas de self-management na DPOC, em diversos indicadores relacionados com o estado de saúde do paciente e na sua utilização dos serviços de saúde. Estratégia de busca: pesquisa efectuada nas bases de dados PubMed e Cochrane Collaboration (01/01/2007 – 31/08/2010). Palavras-chave: selfmanagement education, self-management program, COPD e pulmonary rehabilitation. Critérios de Selecção: estudos randomizados sobre programas de selfmanagement na DPOC. Extracção e Análise dos Dados: 2 investigadores realizaram, independentemente, a avaliação e extracção de dados de cada artigo. Resultados: foram considerados 4 estudos randomizados em selfmanagement na DPOC nos quais se verificaram benefícios destes programas em diversas variáveis: qualidade de vida a curto e médio prazo, utilização dos diferentes recursos de saúde, adesões a medicação de rotina, controle das exacerbações e diminuição da sintomatologia. Parece não ocorrer alteração na função pulmonar e no uso de medicação de emergência, sendo inconclusivo o seu efeito na capacidade de realização de exercício. Conclusões: programas de self-management aparentam ter impacto positivo na qualidade de vida, recurso a serviços de saúde, adesão à medicação, planos de acção e níveis de conhecimento da DPOC. Discrepâncias nos critérios de selecção das amostras utilizadas, períodos de seguimento desiguais, consistência das variáveis mensuradas, condicionam a informação disponibilizada sobre este assunto.

Communication: The criticality of self-assembled rigid rods on triangular lattices

The criticality of self-assembled rigid rods on triangular lattices is investigated using Monte Carlo simulation. We find a continuous transition between an ordered phase, where the rods are oriented along one of the three (equivalent) lattice directions, and a disordered one. We conclude that equilibrium polydispersity of the rod lengths does not affect the critical behavior, as we found that the criticality is the same as that of monodisperse rodson the same lattice, in contrast with the results of recently published work on similar models. (C) 2011 American Institute of Physics. [doi:10.1063/1.3556665]

Self-optimization module for scheduling using case-based reasoning

Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.

Meta-heuristics self-configuration for scheduling

Scheduling resolution requires the intervention of highly skilled human problemsolvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. This paper addresses the resolution of complex scheduling problems using cooperative negotiation. A Multi-Agent Autonomic and Meta-heuristics based framework with self-configuring capabilities is proposed.

Self-optimization for dynamic scheduling in manufacturing systems

Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. In this paper, we describe a Self-Optimizing Mechanism for Scheduling System through Nature Inspired Optimization Techniques (NIT).

Case-based reasoning for meta-heuristics self-parameterization in a multi-agent scheduling system

A novel agent-based approach to Meta-Heuristics self-configuration is proposed in this work. Meta-heuristics are examples of algorithms where parameters need to be set up as efficient as possible in order to unsure its performance. This paper presents a learning module for self-parameterization of Meta-heuristics (MHs) in a Multi-Agent System (MAS) for resolution of scheduling problems. The learning is based on Case-based Reasoning (CBR) and two different integration approaches are proposed. A computational study is made for comparing the two CBR integration perspectives. In the end, some conclusions are reached and future work outlined.

Negotiation mechanism for self-organized scheduling system

This paper presents a negotiation mechanism for Dynamic Scheduling based on Swarm Intelligence (SI). Under the new negotiation mechanism, agents must compete to obtain a global schedule. SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviors of insects and other animals. This work is concerned with negotiation, the process through which multiple selfinterested agents can reach agreement over the exchange of operations on competitive resources.

Self-organization for scheduling in agile manufacturing

Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.

Case-based reasoning for self-optimizing behavior

In this paper we present a Self-Optimizing module, inspired on Autonomic Computing, acquiring a scheduling system with the ability to automatically select a Meta-heuristic to use in the optimization process, so as its parameterization. Case-based Reasoning was used so the system may be able of learning from the acquired experience, in the resolution of similar problems. From the obtained results we conclude about the benefit of its use.