Significance Driven Computation on Next-Generation Unreliable Platforms

In this paper, we propose a design paradigm for energy efficient and variation-aware operation of next-generation multicore heterogeneous platforms. The main idea behind the proposed approach lies on the observation that not all operations are equally important in shaping the output quality of various applications and of the overall system. Based on such an observation, we suggest that all levels of the software design stack, including the programming model, compiler, operating system (OS) and run-time system should identify the critical tasks and ensure correct operation of such tasks by assigning them to dynamically adjusted reliable cores/units. Specifically, based on error rates and operating conditions identified by a sense-and-adapt (SeA) unit, the OS selects and sets the right mode of operation of the overall system. The run-time system identifies the critical/less-critical tasks based on special directives and schedules them to the appropriate units that are dynamically adjusted for highly-accurate/approximate operation by tuning their voltage/frequency. Units that execute less significant operations can operate at voltages less than what is required for correct operation and consume less power, if required, since such tasks do not need to be always exact as opposed to the critical ones. Such scheme can lead to energy efficient and reliable operation, while reducing the design cost and overheads of conventional circuit/micro-architecture level techniques.

Tanker Mission Implication on a Civil Aerial Refuelling Transport System’s Benefit Evaluation

As the emphasis on initiatives that can improve environmental efficiency while simultaneously maintaining economic viability has escalated in recent years, attention has turned to more radical concepts of operation. In particular, the cruiser–feeder concept has shown potential for a new generation, environmentally friendly, air-transport system to alleviate the growing pressure on the passenger air-transportation network. However, a full evaluation of realizable benefits is needed to determine how the design and operation of potential feeder-aircraft configurations impact on the feasibility of the overall concept. This paper presents an analysis of a cruiser–feeder concept, in which fuel is transferred between the feeder and the cruiser in an aerial-refueling configuration to extend range while reducing cruiser weight, compared against the effects of escalating existing technology levels while retaining the existing passenger levels. Up to 14% fuel-burn and 12% operating-cost savings can be achieved when compared to a similar technology-level aircraft concept without aerial refueling, representing up to 26% in fuel burn and 25% in total operating cost over the existing operational model at today’s standard fleet technology and performance. However, these potential savings are not uniformly distributed across the network, and the system is highly sensitive to the routes serviced, with reductions in revenue-generation potential observed across the network for aerial-refueling operations due to reductions in passenger revenue.

Optimal Scheduling Methods to Integrate Plug-In Electric Vehicles with the Power System: A Review

The introduction of the Tesla in 2008 has demonstrated to the public of the potential of electric vehicles in terms of reducing fuel consumption and green-house gas from the transport sector. It has brought electric vehicles back into the spotlight worldwide at a moment when fossil fuel prices were reaching unexpected high due to increased demand and strong economic growth. The energy storage capabilities from of fleets of electric vehicles as well as the potentially random discharging and charging offers challenges to the grid in terms of operation and control. Optimal scheduling strategies are key to integrating large numbers of electric vehicles and the smart grid. In this paper, state-of-the-art optimization methods are reviewed on scheduling strategies for the grid integration with electric vehicles. The paper starts with a concise introduction to analytical charging strategies, followed by a review of a number of classical numerical optimization methods, including linear programming, non-linear programming, dynamic programming as well as some other means such as queuing theory. Meta-heuristic techniques are then discussed to deal with the complex, high-dimensional and multi-objective scheduling problem associated with stochastic charging and discharging of electric vehicles. Finally, future research directions are suggested.

An Investigation Into Improving Off-Design Performance in a Turbocharger Turbine Utilizing Non-Radial Blading

Off-design performance now plays a vital role in the design decisions made for automotive turbocharger turbines. Of particular interest is extracting more energy at high pressure ratios and lower rotational speeds. In this region of operation the U/C value will be low and the rotor will experience high values of positive incidence at the inlet. The positive incidence causes flow to separate on the suction surface and produces high blade loading at inlet, which drives tip leakage. A CFD analysis has been carried out on a number of automotive turbines utilizing non-radial fibred blading. To help improve secondary flows yet meet stress requirements a number of designs have been investigated. The inlet blade angle has been modified in a number of ways. Firstly, the blading has been adjusted as to provide a constant back swept angle in the span wise direction. Using the results of the constant back swept blading studies, the back swept blade angle was then varied in the span wise direction. In addition to this, in an attempt to avoid an increase in stress, the effect of varying the leading edge profile of the blade was investigated. It has been seen that off-design performance is improved by implementing back swept blading at the inlet. Varying the inlet angle in the span wise direction provided more freedom for meeting stress requirements and reduces the negative impact on blade performance at the design point. The blade leading edge profile was seen to offer small improvements during off-design operation with minimal effects on stress within the rotor. However, due to the more pointed nature of the leading edge, the rotor was less tolerant to flow misalignment at the design point.

LS-ADT: Lightweight and Scalable Anomaly Detection for Cloud Datacentres

Cloud data centres are implemented as large-scale clusters with demanding requirements for service performance, availability and cost of operation. As a result of scale and complexity, data centres typically exhibit large numbers of system anomalies resulting from operator error, resource over/under provisioning, hardware or software failures and security issus anomalies are inherently difficult to identify and resolve promptly via human inspection. Therefore, it is vital in a cloud system to have automatic system monitoring that detects potential anomalies and identifies their source. In this paper we present a lightweight anomaly detection tool for Cloud data centres which combines extended log analysis and rigorous correlation of system metrics, implemented by an efficient correlation algorithm which does not require training or complex infrastructure set up. The LADT algorithm is based on the premise that there is a strong correlation between node level and VM level metrics in a cloud system. This correlation will drop significantly in the event of any performance anomaly at the node-level and a continuous drop in the correlation can indicate the presence of a true anomaly in the node. The log analysis of LADT assists in determining whether the correlation drop could be caused by naturally occurring cloud management activity such as VM migration, creation, suspension, termination or resizing. In this way, any potential anomaly alerts are reasoned about to prevent false positives that could be caused by the cloud operator’s activity. We demonstrate LADT with log analysis in a Cloud environment to show how the log analysis is combined with the correlation of systems metrics to achieve accurate anomaly detection.

Conformação automática de formas complexas em vidro de mesa

Os objectivos do presente trabalho foram a investigação dos principais defeitos que ocorrem nos produtos de vidro de mesa produzidos por processos automáticos e o desenvolvimento de novos vidros e tecnologias que permitam aumentar os rendimentos de produção, ou a flexibilidade da operação de conformação. A viscosidade influencia a facilidade de conformação dos produtos. Temperaturas de gota mais baixas, espessuras de parede de produtos mais elevadas e baixas áreas de transferência térmica facilitam a ocorrência de defeitos, sobretudo mecânicos e de superfície. Foram identificados os produtos de vidro de mesa que apresentam maiores dificuldades na conformação, designados por produtos de forma complexa. Por ser um factor relevante na prática, discutiu-se o efeito da quantidade de casco usado na elaboração dos vidros sobre a conformação de produtos de forma complexa. A quantidade de casco influencia a volatilização de fundentes que por sua vez tem efeito sobre as propriedades de trabalhabilidade do vidro. Desenvolveram-se novos vidros compatíveis com a utilização de queimos enriquecidos em oxigénio que são utilizados para reduzirem os defeitos mecânicos e de superfície nos produtos de vidros de mesa prensados. A compatibilidade vidro/tecnologia fez-se com uma modificação do sistema de afinação do vidro. Os vidros modificados apresentam propriedades físicoquímicas semelhantes à do vidro inicial e por isso indicam viabilidade comercial. A tecnologia dos canais corantes foi utilizada para modificar a trabalhabilidade de um vidro base a partir da introdução até 5 % de fritas incolores ricas em Li2O. Os valores de RMS (velocidade relativa de máquina) desceram de 106,8 % para 95,7 % enquanto os valores de Pt (patamar de trabalho) subiram de 100,6 s para 111,3 s com o aumento de frita. As propriedades físico-químicas dos vidros aditivados com frita indicam viabilidade comercial. Esta inovação tecnológica introduz flexibilidade nos processos industriais vidreiros. A composição química do vidro e por isso as propriedades relacionadas com a trabalhabilidade podem ser entendidas como mais uma variável dos processos de conformação e usadas em função das técnicas de conformação disponíveis, da forma dos objectos a conformar e da engenharia da ferramenta moldante utilizada. Foi observada convergência entre os resultados experimentais e os valores calculados a partir dos modelos de Huff e Fluegel nos principais parâmetros da tecnologia vidreira (RMS e Pt) e nas propriedades dos vidros nomeadamente densidade e coeficiente de dilatação térmico. Uma parte importante deste trabalho decorreu em ambiente industrial. Em temas relacionados com a investigação do processamento vidreiro industrial, a prática de desenvolver trabalho experimental integrado no próprio ambiente industrial está claramente documentada na bibliografia publicada em revistas e jornais de referência internacional. ABSTRACT: The research on the causes of major defects that occur in glass tableware products produced by automatic processes and the development of new glasses and technologies for increasing the production efficiency, or the flexibility of operation were the objectives of the Thesis project. Viscosity influences the flexibility of glass forming. Lower drop temperatures, high product wall thicknesses, or low areas of heat transfer facilitate the occurrence of defects, mainly mechanical and surface born. We identified the products of glass tableware showing the greatest difficulties in forming, designated as complex shape products. The effect of the amount of recycled glass used in the preparation of glass batches on the conformation of products of complex shapes and on glass workability is discussed. The amount of recycled glass affects the volatilization of glass modifiers which in turn have an effect on the glass properties and workability. New glasses which become compatible with the use of oxygen burners were formulated, tested and developed to the industrial use, oxygen enrichment being used to reduce the mechanical and surface defects in pressed glass tableware. Compatibility glass / technology was achieved with a modified system of tuning of the glass. The modified glasses have physical and chemical properties similar to the original glass and therefore are commercially viable. The technology of the colouring channels was used to change glass workability of a glass base by the introduction of up to 5 % Li2O rich in colourless frit. The values of RMS (relative machine speed) fell from 106.8 % to 95.7 % while the values of Pt (cooling time) increased from 100.6 s to 111.3 s by the introduction of glass frits. The physico-chemical properties of the modified glass show commercial viability. This technology introduces flexibility in industrial processes of glass. The chemical composition of glass and therefore the properties related to workability can be understood as another variable of the glass forming processes and used according to the available forming techniques, the shape of objects and the engineering tools used for the moulds. Convergence was observed between experimental and predicted from Huff and Fluegel models in studying the properties of glasses. An important part of this work was done inside the industrial environment. On issues related to the investigation of the glass processing inside the industry, the practice of developing experimental work integrated in the industrial environment is clearly documented and referenced in the published literature in international journals and periodicals.

Self-referencing thermometry in the nanoscale

Na ´ultima d´ecada emergiu uma linha de investiga¸c˜ao muito activa em term´ometros n˜ao invasivos e precisos que possam determinar temperatura `a escala nanom´etrica. Esta investiga¸c˜ao foi fortemente estimulada pelas numerosas solicita¸c˜oes da nanotecnologia e da biomedicina, por exemplo. Uma das abordagens mais promissoras prop˜oe o uso de i˜oes trivalentes de lantan´ıdeos que apresenta propriedades fotoluminescentes que dependem da temperatura. Neste trabalho demonstra-se que esta t´ecnica combina as vantagens de te um limite de detec¸c˜ao de 0.5 graus com sensibilidade at´e 4.5 % · K−1. Este term´ometro molecular pode ser processado em filmes finos ou nanopart´ıculas, abrindo os campos de aplica¸c˜ao a diferentes utiliza¸c˜oes. As nanopart´ıculas de s´ılica produzidas s˜ao caracterizadas na presen¸ca e na ausˆencia de i˜oes lantan´ıdeos. Sem o metal, as nanopart´ıculas de APTES/TEOS demonstram ser luminescentes sob excita¸c˜ao UV sem necessidade de utilizar qualquer tratamento t´ermico. O rendimento quˆantico de emiss˜ao depende apenas da propor¸c˜ao dos silanos e pode atingir o valor de 0.15 ± 0.02. A co-dopagem destas nanopart´ıculas com Eu3+ e Tb3+ permite obter sondas com resposta raciom´etrica, com a possibilidade de ajustar a gama de temperaturas de opera¸c˜ao e a sensibilidade, via desenho inteligente da matriz de suporte e dos ligandos de β-dicetona que est˜ao coordenados ao i˜ao met´alico. Quando processados como filmes, este term´ometro permite o mapeamento de temperaturas com resolu¸c˜ao espacial 1.8 μm. A racionaliza¸c˜ao da dependˆencia de temperatura ´e uma ferramenta ´util para desenvolver term´ometros que operam em gamas de temperatura espec´ıficos (e.g. gama de temperatura fisiol´ogica, 290-340 K) com sensibilidade acima de 0.5 % · K−1. A combina¸c˜ao de esfor¸cos de um grande n´umero de diversas disciplinas ir´a previsivelmente permitir o surgimento de term´ometros moleculares novos e sofisticados, preenchendo os principais requisitos das nanociencias.

Contributos para a construção de um perfil de competências do coordenador da educação especial

À medida que a supervisão, associada a lógicas de interação com a atividade docente e com outros intervenientes nos contextos educativos, adquiriu uma dimensão reflexiva e passou a ser entendida como instrumento de transformação do desenvolvimento humano e da qualidade do processo de ensino e aprendizagem na organização escolar inclusiva, tem vindo a conquistar o interesse de numerosos investigadores. Considerando que a intenção de oferecer uma escola de qualidade a todos e a cada um dos alunos (um dos princípios fundamentais da educação inclusiva), não está amplamente atingido, impõe-se uma nova atitude pessoal e institucional: um entendimento sistémico (envolvendo profissionais, alunos, pais e comunidade) sobre as respostas a oferecer aos alunos, capaz de atender às necessidades e especificidades de cada um, otimizando as suas oportunidades de aprendizagem e desenvolvimento. Na verdade, a intervenção na complexidade das diferentes situações-problema emergentes numa organização escola que se pretende inclusiva pode ser altamente potenciada se existir supervisão dos processos educacionais em curso. A especificidade do sistema de Educação Especial preconiza uma estrutura de coordenação e supervisão; uma estrutura capaz de viabilizar recursos e gerar dinâmicas de mediação à intervenção, bem como de acionar mecanismos de avaliação de processos e produtos, tornando-os consequentes ao nível das práticas e objetivando a aproximação a níveis superiores de funcionamento. Tendo como principal objetivo construir conhecimento sobre o perfil de competências profissionais do Coordenador da Educação Especial, com particular relevo na dimensão supervisiva inerente à respetiva ação, o estudo que se apresenta baseou-se numa abordagem de natureza mista para recolha e tratamento de dados de tipo quantitativo e qualitativo. Numa primeira fase, incluiu a aplicação dum inquérito por questionário a três grupos de informantes-chave: 105 professores de Educação Especial, 47 coordenadores da Educação Especial e 37 diretores de agrupamentos de escolas/escolas não agrupadas, do ensino público, da área de influência da Direção de Serviços da Região Centro, Direção-Geral dos Estabelecimentos Escolares. A segunda fase, em que se buscou vislumbrar insights passíveis de clarificar e aprofundar os dados recolhidos através dos inquéritos por questionário, compreendeu a realização de entrevistas a 10 especialistas em Educação Especial e/ou em Supervisão. Os dados apontam para um enquadramento organizacional /supervisivo em Educação Especial dissemelhante, podendo, todavia, identificar-se em comum, uma satisfatória ação liderante do Coordenador da Educação Especial, baseada em atividades de diálogo e reflexão, e respeitando princípios de colaboração e solidariedade. Há, no entanto, indicadores de que a prática deste coordenador se concentra bastante na gestão burocrática e administrativa do departamento/equipa, podendo isto explicar-se pelo facto de o Coordenador da Educação Especial servir mais de intermediário do que de interveniente entre órgãos de direção e gestão, nomeadamente, entre o diretor e o conselho pedagógico, e os docentes/profissionais do departamento/equipa. Os dados evidenciam também, a falta de formação dos coordenadores da Educação Especial em supervisão e salientam a importância do fator tempo para o eficaz exercício desse cargo, de modo a promover interações ricas e estimulantes, centradas nas reflexões sobre as práticas inclusivas. Podendo este coordenador contribuir de forma significativa para a dinamização e estímulo dos profissionais do agrupamento/escola, apoiando-os nos seus esforços e iniciativas para uma organização mais inclusiva, identificam-se alguns aspetos considerados determinantes no seu perfil de competências profissionais: experiência, conhecimentos, capacidades, valores e particularidades da personalidade.

Disfuncionalidades do sistema jurídico criminal do Brasil em face do direito fundamental à segurança

Tese de doutoramento, Direito (Ciências Jurídico-Políticas), Universidade de Lisboa, Faculdade de Direito, 2014

A obrigação de vigilância dos órgãos da sociedade anónima

Tese de doutoramento, Direito (Ciências Jurídico-Civis), Universidade de Lisboa, Faculdade de Direito, 2014

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Redes de rega de campos de golfe

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Reabilitação de edifícios: enquadramento e estudo da reabilitação num grupo empresarial

Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Edificações