Study of multi-component systems in polybenzimidazole membrane formation and their impact on membrane performance

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

Multi-GPU support on the marrow algorithmic skeleton framework

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Dispositivo de interligação multi-rádio de longo alcance para redes de sensores com alimentação solar

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Business model analysis of Mobitto: How to solve the chicken and egg problem of a multi-sided platform?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

STRUCTURE-FUNCTION ANALYSIS OF MULTI-COPPER OXIDASES

Dissertation presented to obtain the Ph.D degree in Biochemistry, Structural Biochemistry

Experimental high-throughput adsorption unit for multi-evaluation of adsorbents for gas capture, storage and separation applications

Dissertação para obtenção do grau de Mestre em Engenharia Química e Bioquímica

Optimização energética de sistemas multi-componente da zona fria do Steam Cracker

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

Energy-efficient diversity combining for different access schemes in a multi-path dispersive channel

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores

Aterragem de robôs aéreos multi-rotor em plataformas móveis: uma solução baseada em comportamentos e em saliência visual

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Constraint reasoning with local search for continuous optimization

Optimization is a very important field for getting the best possible value for the optimization function. Continuous optimization is optimization over real intervals. There are many global and local search techniques. Global search techniques try to get the global optima of the optimization problem. However, local search techniques are used more since they try to find a local minimal solution within an area of the search space. In Continuous Constraint Satisfaction Problems (CCSP)s, constraints are viewed as relations between variables, and the computations are supported by interval analysis. The continuous constraint programming framework provides branch-and-prune algorithms for covering sets of solutions for the constraints with sets of interval boxes which are the Cartesian product of intervals. These algorithms begin with an initial crude cover of the feasible space (the Cartesian product of the initial variable domains) which is recursively refined by interleaving pruning and branching steps until a stopping criterion is satisfied. In this work, we try to find a convenient way to use the advantages in CCSP branchand- prune with local search of global optimization applied locally over each pruned branch of the CCSP. We apply local search techniques of continuous optimization over the pruned boxes outputted by the CCSP techniques. We mainly use steepest descent technique with different characteristics such as penalty calculation and step length. We implement two main different local search algorithms. We use “Procure”, which is a constraint reasoning and global optimization framework, to implement our techniques, then we produce and introduce our results over a set of benchmarks.

Synchronization properties of multi-oscillator circadian systems

Dissertation presented to obtain the Ph.D degree in Computational Biology

Probabilistic constraint reasoning with Monte Carlo integration to robot localization

This work studies the combination of safe and probabilistic reasoning through the hybridization of Monte Carlo integration techniques with continuous constraint programming. In continuous constraint programming there are variables ranging over continuous domains (represented as intervals) together with constraints over them (relations between variables) and the goal is to find values for those variables that satisfy all the constraints (consistent scenarios). Constraint programming “branch-and-prune” algorithms produce safe enclosures of all consistent scenarios. Special proposed algorithms for probabilistic constraint reasoning compute the probability of sets of consistent scenarios which imply the calculation of an integral over these sets (quadrature). In this work we propose to extend the “branch-and-prune” algorithms with Monte Carlo integration techniques to compute such probabilities. This approach can be useful in robotics for localization problems. Traditional approaches are based on probabilistic techniques that search the most likely scenario, which may not satisfy the model constraints. We show how to apply our approach in order to cope with this problem and provide functionality in real time.

Estudo do motor em disco com o rotor em alumínio e em supercondutor multi-semente

Nesta dissertação é realizado o estudo de um motor em disco polifásico com armadura convencional e rotor que pode ser convencional, em alumínio, ou composto por material supercondutor de alta temperatura multi‐semente. O motor com o rotor em alumínio apresenta um comportamento assíncrono bem definido, baseado na lei geral de indução de eletromotrizes no induzido. Contudo, ao ser mergulhado em azoto líquido, evidencia melhores características eléctricas, tanto do induzido como do indutor, mesmo que o núcleo ferromagnético convencional possa exibir degradação magnética. O motor com o rotor SAT exibe um comportamento distinto, evidenciando ambos os regimes síncrono e assíncrono estáveis. O regime síncrono fica caracterizado pelo fenómeno de aprisionamento de campo, que garante que o rotor gire síncrono com o campo girante do estator. Em regime assíncrono, para um determinado valor de binário resistente aplicado superior ao electromagnético máximo desenvolvido pelo motor, o fenómeno de escoamento de campo está presente, sendo o binário electromagnético motor reforçado por um binário extra de perdas de carácter resistivo desenvolvidas no rotor devido à interacção da densidade de corrente a campos eléctricos que se estabelecem no rotor. Neste caso, o fenómeno de escoamento de campo não é devido a forças de Lorentz que se definem na matriz de Abrikosov, mas sim devido a esta ser “puxada” pelo campo girante do estator, ficando a matriz a deslizar sobre o rotor. De modo a obter as características dos sistemas electromecânicos em estudo é realizada uma análise teórica, baseada na teoria convencional das máquinas eléctricas, com o objectivo de compreender alguns dos fenómenos do motor de fluxo axial, e uma análise baseada num programa comercial de elementos finitos onde o fenómeno da supercondutividade é simulado com base na relação entre o campo elétrico e a densidade de corrente pela lei da potenciação (E‐J power law). O ensaio dos motores referidos é realizado para comparar ambos os sistemas e de realçar o princípio de funcionamento e as características mais relevantes de cada um. Da análise realizada é desenvolvido um modelo que caracteriza o funcionamento da máquina com o rotor com SAT.

Integration of a mobile autonomous robot in a surveillance multi-agent system

This dissertation aims to guarantee the integration of a mobile autonomous robot equipped with many sensors in a multi-agent distributed and georeferenced surveillance system. The integration of a mobile autonomous robot in this system leads to new features that will be available to clients of surveillance system may use. These features may be of two types: using the robot as an agent that will act in the environment or by using the robot as a mobile set of sensors. As an agent in the system, the robot can move to certain locations when alerts are received, in order to acknowledge the underlying events or take to action in order to assist in resolving this event. As a sensor platform in the system, it is possible to access information that is read from the sensors of the robot and access complementary measurements to the ones taken by other sensors in the multi-agent system. To integrate this mobile robot in an effective way it is necessary to extend the current multi-agent system architecture to make the connection between the two systems and to integrate the functionalities provided by the robot into the multi-agent system.