Relatório Final da Prática Educativa Supervisionada

O presente relatório de estágio foi elaborado no âmbito da unidade curricular de Integração Curricular: Prática Educativa e Relatório de Estágio, integrada no plano de estudos do 2.º ano do Mestrado em Ensino do 1.º e 2.º Ciclo, afigurando-se como um requisito fundamental para a obtenção do grau de mestre. O mesmo espelha o percurso trilhado pela professora estagiária, que atendeu a um quadro teórico-legal e a uma análise criteriosa e cuidada dos contextos educativos onde esteve inserida, permitindo-lhe aprofundar os seus saberes e agir de forma mais informada num contexto educativo de especial complexidade. A metodologia de investigação-ação palmilhou toda a prática pedagógica da formanda, através de uma espiral cíclica de observação, planificação, ação e reflexão, promotoras do desenvolvimento da profissionalidade docente. Não obstante, a supervisão apresentou-se como um momento de excelência de crescimento pessoal e profissional, uma vez que promoveu o desenvolvimento de uma postura reflexiva e autocrítica na professora estagiária, motivada por momentos de reflexão partilhada. Ao longo desta jornada foram cruciais os contributos dados pelo par pedagógico, orientadores cooperantes e supervisores institucionais, com vista ao aperfeiçoamento das práticas e à adoção de estratégias de trabalho inovadoras, assentes no modelo socio construtivista do conhecimento. A escrita deste documento encerra o ciclo de formação inicial, estando a mestranda consciente de que o processo de crescimento se irá prolongar ao longo da sua vida, de modo a desenvolver práticas mais ricas e significativas, promotoras do desenvolvimento integral e integrado dos educandos, preparando-os para a vida em sociedade. Palavras-chave: prática de ensino supervisionada; desenvolvimento profissional; reflexão; trabalho colaborativo.

AI in power systems and energy markets

In a world increasingly conscientious about environmental effects, power and energy systems are undergoing huge transformations. Electric energy produced from power plants is transmitted and distributed to end users through a power grid. The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems’ abilities to withstand uncertain events, such as weather-related outages. Competitive, deregulated electricity markets and new renewable energy sources, however, have further complicated this already complex infrastructure.Sustainable development has also been a challenge for power systems. Recently, there has been a signifi cant increase in the installation of distributed generations, mainly based on renewable resources such as wind and solar. Integrating these new generation systems leads to more complexity. Indeed, the number of generation sources greatly increases as the grid embraces numerous smaller and distributed resources. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. In this special issue introductory article, we analyze the key areas in this field that can benefi t most from AI and intelligent systems now and in the future.We also identify new opportunities for cross-fertilization between power systems and energy markets and intelligent systems researchers.

Introduction to the special issue on real world applications of intelligent tutoring systems

The idea behind creating this special issue on real world applications of intelligent tutoring systems was to bring together in a single publication some of the most important examples of success in the use of ITS technology. This will serve as a reference to all researchers working in the area. It will also be an important resource for the industry, showing the maturity of ITS technology and creating an atmosphere for funding new ITS projects. Simultaneously, it will be valuable to academic groups, motivating students for new ideas of ITS and promoting new academic research work in the area.

Accessing complexity from genome information

This paper studies the information content of the chromosomes of 24 species. In a first phase, a scheme inspired in dynamical system state space representation is developed. For each chromosome the state space dynamical evolution is shed into a two dimensional chart. The plots are then analyzed and characterized in the perspective of fractal dimension. This information is integrated in two measures of the species’ complexity addressing its average and variability. The results are in close accordance with phylogenetics pointing quantitative aspects of the species’ genomic complexity.

Simulation relations, interface complexity, and resource optimality for real-time hierachical systems

Compositional schedulability analysis of hierarchical realtime systems is a well-studied problem. Various techniques have been developed to abstract resource requirements of components in such systems, and schedulability has been addressed using these abstract representations (also called component interfaces). These approaches for compositional analysis incur resource overheads when they abstract components into interfaces. In this talk, we define notions of resource schedulability and optimality for component interfaces, and compare various approaches.

Slow down or race to halt: towards managing complexity of real-time energy management decisions

Existing work in the context of energy management for real-time systems often ignores the substantial cost of making DVFS and sleep state decisions in terms of time and energy and/or assume very simple models. Within this paper we attempt to explore the parameter space for such decisions and possible constraints faced.

Delamination analysis of carbon fibre reinforced laminates: evaluation of a special step drill

Drilling of carbon fibre/epoxy laminates is usually carried out using standard drills. However, it is necessary to adapt the processes and/or tooling as the risk of delamination, or other damages, is high. These problems can affect mechanical properties of produced parts, therefore, lower reliability. In this paper, four different drills – three commercial and a special step (prototype) – are compared in terms of thrust force during drilling and delamination. In order to evaluate damage, enhanced radiography is applied. The resulting images were then computational processed using a previously developed image processing and analysis platform. Results show that the prototype drill had encouraging results in terms of maximum thrust force and delamination reduction. Furthermore, it is possible to state that a correct choice of drill geometry, particularly the use of a pilot hole, a conservative cutting speed – 53 m/min – and a low feed rate – 0.025 mm/rev – can help to prevent delamination.

Task assignment algorithms for two-type heterogeneous multiprocessors

Consider the problem of assigning implicit-deadline sporadic tasks on a heterogeneous multiprocessor platform comprising two different types of processors—such a platform is referred to as two-type platform. We present two low degree polynomial time-complexity algorithms, SA and SA-P, each providing the following guarantee. For a given two-type platform and a task set, if there exists a task assignment such that tasks can be scheduled to meet deadlines by allowing them to migrate only between processors of the same type (intra-migrative), then (i) using SA, it is guaranteed to find such an assignment where the same restriction on task migration applies but given a platform in which processors are 1+α/2 times faster and (ii) SA-P succeeds in finding a task assignment where tasks are not allowed to migrate between processors (non-migrative) but given a platform in which processors are 1+α times faster. The parameter 0<α≤1 is a property of the task set; it is the maximum of all the task utilizations that are no greater than 1. We evaluate average-case performance of both the algorithms by generating task sets randomly and measuring how much faster processors the algorithms need (which is upper bounded by 1+α/2 for SA and 1+α for SA-P) in order to output a feasible task assignment (intra-migrative for SA and non-migrative for SA-P). In our evaluations, for the vast majority of task sets, these algorithms require significantly smaller processor speedup than indicated by their theoretical bounds. Finally, we consider a special case where no task utilization in the given task set can exceed one and for this case, we (re-)prove the performance guarantees of SA and SA-P. We show, for both of the algorithms, that changing the adversary from intra-migrative to a more powerful one, namely fully-migrative, in which tasks can migrate between processors of any type, does not deteriorate the performance guarantees. For this special case, we compare the average-case performance of SA-P and a state-of-the-art algorithm by generating task sets randomly. In our evaluations, SA-P outperforms the state-of-the-art by requiring much smaller processor speedup and by running orders of magnitude faster.

NoC contention analysis using a branch-and-prune algorithm

“Many-core” systems based on a Network-on-Chip (NoC) architecture offer various opportunities in terms of performance and computing capabilities, but at the same time they pose many challenges for the deployment of real-time systems, which must fulfill specific timing requirements at runtime. It is therefore essential to identify, at design time, the parameters that have an impact on the execution time of the tasks deployed on these systems and the upper bounds on the other key parameters. The focus of this work is to determine an upper bound on the traversal time of a packet when it is transmitted over the NoC infrastructure. Towards this aim, we first identify and explore some limitations in the existing recursive-calculus-based approaches to compute the Worst-Case Traversal Time (WCTT) of a packet. Then, we extend the existing model by integrating the characteristics of the tasks that generate the packets. For this extended model, we propose an algorithm called “Branch and Prune” (BP). Our proposed method provides tighter and safe estimates than the existing recursive-calculus-based approaches. Finally, we introduce a more general approach, namely “Branch, Prune and Collapse” (BPC) which offers a configurable parameter that provides a flexible trade-off between the computational complexity and the tightness of the computed estimate. The recursive-calculus methods and BP present two special cases of BPC when a trade-off parameter is 1 or ∞, respectively. Through simulations, we analyze this trade-off, reason about the implications of certain choices, and also provide some case studies to observe the impact of task parameters on the WCTT estimates.

Profissionalidade docente: fonte de possibilidades e de (in)certezas

O longo percurso de formação, iniciado com a Licenciatura em Educação Básica, termina agora com a conclusão do Mestrado em Ensino do 1º e 2º Ciclos do Ensino Básico surgindo, por isso, o presente relatório de estágio no âmbito da unidade curricular de Integração Curricular: Prática Educativa Supervisionada e Relatório de Estágio. Este caminho foi trilhado tomando opções fundamentadas e intencionais, conciliando saberes teóricos e práticos, construídos e desenvolvidos nos contextos educativos onde decorreu a Prática Educativa Supervisionada (PES). Ancorada numa perspetiva de investigação, onde se reconhecem características da metodologia de investigação-ação, a supervisão pedagógica desenrolou-se por etapas que promoveram o crescimento pessoal e profissional da futura professora. Todo o percurso espelhado no decorrer das próximas páginas foi solidamente cimentado graças à experiência partilhada dos orientadores cooperantes, dos supervisores institucionais e do par pedagógico, permitindo desenvolver e consolidar competências heurísticas, bem como a transformação e o melhoramento das práticas. Atribuiu-se, neste processo, um especial significado à relação com o par pedagógico por ter constituído um apoio fundamental, valorizando-se a colaboração, enquanto agente potenciador da tomada de decisão em contextos de incerteza e de complexidade da prática docente. Este relatório de estágio configura-se como mais uma oportunidade de autoconsciência e de reflexão relativamente ao processo de construção da identidade profissional. O constante progresso do mundo atual, as dificuldades sentidas e os obstáculos ultrapassados reforçam a ideia de que o processo de formação será sempre ávido de uma permanente atualização.

Projeto de molde para a injeção de peça plástica complexa para a indústria automóvel

A fabricação de moldes é um pilar da indústria metalomecânica nacional. A qualidade patenteada pelos moldes de fabrico nacional é reconhecida mundialmente. A fabricação de um molde é sempre um novo desafio, dadas as especificidades de cada peça e à complexidade geométrica que normalmente apresentam. Este trabalho teve por principal objetivo proceder ao projeto, fabricação e ajuste de um molde para uma peça plástica complexa, destinada à indústria automóvel, a qual, pela sua complexidade geométrica, elevada relação de área versus espessura e grande número de reforços bastante delgados, exige cuidados especiais no momento de se tomarem decisões quanto às melhores metodologias a adotar na sua fabricação, com vista a garantir a qualidade exigida pelo cliente final. O projeto foi desenvolvido e levado a cabo, permitindo constatar que algumas das opções tomadas na fase do projeto foram as mais adequadas, exigindo pouco trabalho de afinação no final e permitindo a extração de peças com elevada repetibilidade de características e a qualidade requerida pelo cliente.