Auxiliary mechanisms for telerobotics

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

The Influence of Damping on Vibration Induced by High-Speed Trains

Passage of high-speed trains may induce high ground and track vibrations, which, besides increasing wheel, rail and track deterioration, may have a negative impact on the vehicle stability and on the passengers comfort. In this paper two distinct analyses are presented. The first one is dedicated to efficient decoupling of rail and soil vibrations by suggesting new interface materials in rail-sleeper fixing system, i.e. in the part where damping efficiency can be directly controlled and tested. The second analysis concerns with an adequate model of soils damping. Proper understanding and correct numerical simulation of this behaviour can help in suggesting soil improvement techniques.

Incorporação de resíduos de cerâmica em argamassas de cal aérea

Sabe-se que aproximadamente 30% do material produzido pela indústria cerâmica é considerado desperdício e, frequentemente, depositado em aterro, com o impacto ambiental negativo que acarreta. Esta tem sido uma das grandes motivações para a crescente investigação que tem sido levada a cabo a fim de obter soluções viáveis para a sua reintrodução no processo produtivo. A viabilidade do uso de resíduos de material cerâmico tem vindo a ser avaliada, principalmente, na incorporação em betões ou em argamassas com base em cimento. Na antiguidade e na ausência de pozolanas naturais, eram frequentemente utilizados resíduos cerâmicos moídos, atuando como pozolanas artificiais e conferindo algumas características hidráulicas e de durabilidade às argamassas de cal aérea. Temse efetivamente constatado que alguns pós resultantes de desperdícios de cerâmica de barro vermelho, nomeadamente os que foram sujeitos a tratamento térmico a temperaturas inferiores a 900°C e moídos em granulometria fina, podem funcionar como pozolanas artificiais em argamassas. A introdução de resíduos de cerâmica em granulometria mais grossa nas argamassas, como agregado, pode também revelarse vantajoso, na medida em que permite substituir parcialmente a areia normalmente utilizada. Assim sendo, o recurso aos resíduos de cerâmica pode ser muito vantajoso em três vertentes principais: a redução de resíduos a depositar em aterro, a redução da extração de rochas para serem utilizadas na produção de ligantes e de areias e a produção de argamassas com comportamentos melhorados. Com o objetivo de analisar a viabilidade da introdução de resíduos de cerâmica em argamassas, que se pretendem sejam, essencialmente, adequadas como argamassas de substituição, tem vindo a ser desenvolvida investigação na Universidade de Coimbra em colaboração com a Universidade Nova de Lisboa. O trabalho que se apresenta neste artigo é uma pequena parte dessa investigação. Toda esta investigação tem tido o apoio de um projeto de investigação financiado pela FCT.

Semantic enrichment of knowledge sources supported by domain ontologies

This thesis introduces a novel conceptual framework to support the creation of knowledge representations based on enriched Semantic Vectors, using the classical vector space model approach extended with ontological support. One of the primary research challenges addressed here relates to the process of formalization and representation of document contents, where most existing approaches are limited and only take into account the explicit, word-based information in the document. This research explores how traditional knowledge representations can be enriched through incorporation of implicit information derived from the complex relationships (semantic associations) modelled by domain ontologies with the addition of information presented in documents. The relevant achievements pursued by this thesis are the following: (i) conceptualization of a model that enables the semantic enrichment of knowledge sources supported by domain experts; (ii) development of a method for extending the traditional vector space, using domain ontologies; (iii) development of a method to support ontology learning, based on the discovery of new ontological relations expressed in non-structured information sources; (iv) development of a process to evaluate the semantic enrichment; (v) implementation of a proof-of-concept, named SENSE (Semantic Enrichment kNowledge SourcEs), which enables to validate the ideas established under the scope of this thesis; (vi) publication of several scientific articles and the support to 4 master dissertations carried out by the department of Electrical and Computer Engineering from FCT/UNL. It is worth mentioning that the work developed under the semantic referential covered by this thesis has reused relevant achievements within the scope of research European projects, in order to address approaches which are considered scientifically sound and coherent and avoid “reinventing the wheel”.

Context-based identification of energy consumption in industrial plants

Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.