Handling QoS dependencies in distributed cooperative real-time systems

Due to the growing complexity and adaptability requirements of real-time embedded systems, which often exhibit unrestricted inter-dependencies among supported services and user-imposed quality constraints, it is increasingly difficult to optimise the level of service of a dynamic task set within an useful and bounded time. This is even more difficult when intending to benefit from the full potential of an open distributed cooperating environment, where service characteristics are not known beforehand. This paper proposes an iterative refinement approach for a service’s QoS configuration taking into account services’ inter-dependencies and quality constraints, and trading off the achieved solution’s quality for the cost of computation. Extensive simulations demonstrate that the proposed anytime algorithm is able to quickly find a good initial solution and effectively optimises the rate at which the quality of the current solution improves as the algorithm is given more time to run. The added benefits of the proposed approach clearly surpass its reducedoverhead.

Level monitoring system for waste oil containers: an EPS@ISEP project

Waste oil recycling companies play a very important role in our society. Competition among companies is tough and process optimization is essential for survival. By equipping oil containers with a level monitoring system that periodically reports the level and alerts when it reaches the preset threshold, the oil recycling companies are able to streamline the oil collection process and, thus, reduce the operation costs while maintaining the quality of service. This paper describes the development of this level monitoring system by a team of four students from different engineering backgrounds and nationalities. The team conducted a study of the state of the art, draw marketing and sustainable development plans and, finally, designed and implemented a prototype that continuously measures the container content level and sends an alert message as soon as it reaches the preset capacity.

Dynamic adaptation of stability periods for service level agreements

A QoS adaptation to dynamically changing system conditions that takes into consideration the user’s constraints on the stability of service provisioning is presented. The goal is to allow the system to make QoS adaptation decisions in response to fluctuations in task traffic flow, under the control of the user. We pay special attention to the case where monitoring the stability period and resource load variation of Service Level Agreements for different types of services is used to dynamically adapt future stability periods, according to a feedback control scheme. System’s adaptation behaviour can be configured according to a desired confidence level on future resource usage. The viability of the proposed approach is validated by preliminary experiments.

Avaliação da qualidade em habitações existentes - proposta de método

Mestrado em Engenharia Civil - Ramo de Gestão da Construção

Particle swarm optimization: dynamical analysis through fractional calculus

This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is studied from the point of view of fractional calculus. In this study some initial swarm particles are randomly changed, for the system stimulation, and its response is compared with a non-perturbed reference response. The perturbation effect in the PSO evolution is observed in the perspective of the fitness time behaviour of the best particle. The dynamics is represented through the median of a sample of experiments, while adopting the Fourier analysis for describing the phenomena. The influence upon the global dynamics is also analyzed. Two main issues are reported: the PSO dynamics when the system is subjected to random perturbations, and its modelling with fractional order transfer functions.

Particle swarm optimization with fractional-order velocity

This paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several well-known functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorithm and to control its convergence.

A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem

This paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.

Using remote lab networks to provide support to public secondary school education level

The advantages of networking are widely known in many areas (from business to personal ones). One particular area where networks have also proved their benefits is education. Taking the secondary school education level into account, some successful cases can be found in literature. In this paper we describe a particular remote lab network supporting physical experiments accessible to students of institutions geographically separated. The network architecture and application examples of using some of the available remote experiments are illustrated in detail.

Particle swarm design of digital circuits

Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent functional global patterns to emerge. Particle swarm optimization (PSO) is a form of SI, and a population-based search algorithm that is initialized with a population of random solutions, called particles. These particles are flying through hyperspace and have two essential reasoning capabilities: their memory of their own best position and knowledge of the swarm's best position. In a PSO scheme each particle flies through the search space with a velocity that is adjusted dynamically according with its historical behavior. Therefore, the particles have a tendency to fly towards the best search area along the search process. This work proposes a PSO based algorithm for logic circuit synthesis. The results show the statistical characteristics of this algorithm with respect to number of generations required to achieve the solutions. It is also presented a comparison with other two Evolutionary Algorithms, namely Genetic and Memetic Algorithms.

Automated synthesis procedure of RF discrete tuning differential capacitance circuits

The paper presents a RFDSCA automated synthesis procedure. This algorithm determines several RFDSCA circuits from the top-level system specifications all with the same maximum performance. The genetic synthesis tool optimizes a fitness function proportional to the RFDSCA quality factor and uses the epsiv-concept and maximin sorting scheme to achieve a set of solutions well distributed along a non-dominated front. To confirm the results of the algorithm, three RFDSCAs were simulated in SpectreRF and one of them was implemented and tested. The design used a 0.25 mum BiCMOS process. All the results (synthesized, simulated and measured) are very close, which indicate that the genetic synthesis method is a very useful tool to design optimum performance RFDSCAs.

Modified particle swarm optimization for day-ahead distributed energy resources scheduling including vehicle-to-grid

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Otimização do processo produtivo de extrusão de pisos na E06

O presente trabalho foi elaborado no âmbito da Dissertação Final de Mestrado do curso de Engenharia Mecânica – Gestão Industrial do Instituto Superior de Engenharia do Porto. Este foi realizado numa empresa da indústria de pneus, a Continental Mabor S.A.. Nos dias atuais, a indústria esta cada vez mais competitiva, os custos e os prazos da entrega são cada vez mais reduzidos e a qualidade cada vez mais exigente, assim sendo, é imprescindível uma constante melhoria do sistema produtivo. Este fato fez com que o presente trabalho tivesse como principal objetivo determinar o estado atual e delinear um plano de melhoria para um equipamento (Extrusora de pisos nº6), recentemente instalado na fábrica mas oriundo de outra fábrica do grupo, recorrendo para tal ao Lean Manufacturing e a ferramentas que lhe estão associadas. Inicialmente realizou-se uma análise e diagnóstico ao processo de extrusão de pisos na Extrusora nº6, com o intuito de avaliar todas as suas ineficiências e ainda formular um plano de melhorias para a ineficiência de maior impacto no sistema produtivo. Esta análise foi realizada em diferentes turnos e diferentes equipas de trabalho de forma a se obter uma amostra mais representativa da realidade global. Após esta análise verificou-se que as principais ineficiências eram Setup, conformidade do material, dimensões e encravamentos, entre outros. Sendo que os Setup provocam um tempo de paragem de 101 minutos por turno, escolheu-se esta perturbação como o foco do plano de melhorias a realizar posteriormente. De forma a reduzir os tempos de mudança (Setup), o autor no presente trabalho utilizou ferramentas Lean Manufacturing, principalmente o SMED. Conjuntamente com o SMED ainda foram utilizadas outras ferramentas Lean Manufacturing tais como: 5S, Gestão Visual, Problem Solving e Normalização do Método de Trabalho. Após a implementação de todas estas ferramentas obteve-se uma redução de tempos de mudança de 43% com 1 operador e 71% com 2 operadores, ou seja, reduziu-se de 40,5 minutos gastos por turno para a mudança de fieira para 23,13 min e 11,79 min respetivamente, o que corresponde a um ganho monetário anual de 63.621€ ou 105.045€, respetivamente. Com este trabalho conclui-se que a utilização de ferramentas Lean Manufacturing contribuem para a redução dos desperdícios do processo produtivo. Por isso, espera-se que este estudo seja aplicado na Extrusora nº6 e nas restantes Extrusoras de pisos existentes na fábrica, e num futuro próximo que se realize estudos semelhantes em máquinas com diferentes funções.

Mecanismos de gestão de recursos humanos no setor público: as implicações da austeridade

Dissertação de Mestrado apresentada ao Instituto Politécnico do Porto para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Gestão das Organizações – Ramo de Gestão de Empresas Orientador: Professor Doutor Pedro Nunes Orientador: Professor Henrique Curado

Desenvolvimento de recursos educativos em dispositivos móveis - RealHiBook

Nos últimos anos têm existido bastantes pesquisas e um grande investimento quer na área da educação à distância quer ao nível das tecnologias móveis. A dada altura percebeu-se que cada vez mais poderiam ser utilizados dispositivos móveis no contexto da educação e de que estes já seriam capazes de responder às exigências necessárias para que fosse possível criar ou melhorar cenários com recursos educativos. Este trabalho tem como objetivo propor um modelo que facilite a aprendizagem em dispositivos móveis. Nesse sentido, decidiu-se que seria uma mais-valia adicionar a este projeto, a utilização da Realidade Aumentada como potenciador de melhorias no processo de aprendizagem. A Realidade Aumentada, a par do que acontece com a educação à distância e com as tecnologias móveis, é uma área alvo de constantes investigações e inovação. Apresenta como principal capacidade a interação do utilizador com vários modelos virtuais incluídos numa cena real. Esta capacidade proporciona experiências que podem contribuir para o aumento da motivação e da perceção por parte dos alunos. A forma como o utilizador interage com as aplicações móveis é vista com extrema importância, principalmente na área da educação. Aliar uma boa interação à utilização da Realidade Aumentada, é parte integrante deste trabalho. Foram estudados exemplos de interações e formas como o utilizador vive a experiência durante a utilização de aplicações que partilham o mesmo tipo de tecnologias utilizadas neste projeto. O objetivo final foca-se na criação de uma aplicação, capaz de fornecer uma experiência enriquecedora no âmbito do ensino, ligado ao tema história e que consiga fundamentar a criação de um modelo que facilite a aprendizagem utilizando plataformas móveis. Os objetivos são corroborados por um conjunto de testes efetuados à aplicação e pelos resultados obtidos através de um questionário feito a um grupo de pessoas que testaram o protótipo.

Development of procedures for the simulation of atmospheric flows over complex terrain, using OpenFOAM

The main purpose of this work was the development of procedures for the simulation of atmospheric ows over complex terrain, using OpenFOAM. For this aim, tools and procedures were developed apart from this code for the preprocessing and data extraction, which were thereafter applied in the simulation of a real case. For the generation of the computational domain, a systematic method able to translate the terrain elevation model to a native OpenFOAM format (blockMeshDict) was developed. The outcome was a structured mesh, in which the user has the ability to de ne the number of control volumes and its dimensions. With this procedure, the di culties of case set up and the high computation computational e ort reported in literature associated to the use of snappyHexMesh, the OpenFOAM resource explored until then for the accomplishment of this task, were considered to be overwhelmed. Developed procedures for the generation of boundary conditions allowed for the automatic creation of idealized inlet vertical pro les, de nition of wall functions boundary conditions and the calculation of internal eld rst guesses for the iterative solution process, having as input experimental data supplied by the user. The applicability of the generated boundary conditions was limited to the simulation of turbulent, steady-state, incompressible and neutrally strati ed atmospheric ows, always recurring to RaNS (Reynolds-averaged Navier-Stokes) models. For the modelling of terrain roughness, the developed procedure allowed to the user the de nition of idealized conditions, like an uniform aerodynamic roughness length or making its value variable as a function of topography characteristic values, or the using of real site data, and it was complemented by the development of techniques for the visual inspection of generated roughness maps. The absence and the non inclusion of a forest canopy model limited the applicability of this procedure to low aerodynamic roughness lengths. The developed tools and procedures were then applied in the simulation of a neutrally strati ed atmospheric ow over the Askervein hill. In the performed simulations was evaluated the solution sensibility to di erent convection schemes, mesh dimensions, ground roughness and formulations of the k - ε and k - ω models. When compared to experimental data, calculated values showed a good agreement of speed-up in hill top and lee side, with a relative error of less than 10% at a height of 10 m above ground level. Turbulent kinetic energy was considered to be well simulated in the hill windward and hill top, and grossly predicted in the lee side, where a zone of ow separation was also identi ed. Despite the need of more work to evaluate the importance of the downstream recirculation zone in the quality of gathered results, the agreement between the calculated and experimental values and the OpenFOAM sensibility to the tested parameters were considered to be generally in line with the simulations presented in the reviewed bibliographic sources.