Avaliação económica de um projecto de investimento num sistema de retorno de gases num Terminal Portuário

Dissertação para obtenção do grau de Mestre em Engenharia e Gestão Industrial

Optimização energética no terminal portuário do complexo petroquímico de Sines

Actualmente a indústria petroquímica é cada vez mais confrontada com a necessidade de poupança de custos. O presente trabalho surge dessa mesma necessidade e foi desenvolvido, no âmbito de um estágio curricular, no Complexo Petroquímico da Repsol, em Sines, durante um período de seis meses. O principal objectivo do estágio foi a optimização energética dos períodos diários de envio de etileno, dentro do complexo, bem como a avaliação energética dos sistemas de refrigeração, no terminal portuário, tendo-se utilizado o software Aspen HYSYS como simulador dos processos. Essa avaliação energética consistiu no cálculo dos coeficientes de performance e das eficiências dos vários compressores, tendo-se verificado que ambos os parâmetros encontram-se abaixo das condições de design para todos os processos, com a excepção do coeficiente de performance do sistema de refrigeração do 1,3-butadieno. Foram desenvolvidas ferramentas em excel que permitem a avaliação em tempo real da eficiência dos vários sistemas de refrigeração, que pode ser usada na sua optimização, ajustando as eficiências reais às de design. Foram estudados dois projectos a implementar no terminal portuário: um sobre a implementação de variadores de frequência nas liquefacções de etileno, que permitirá uma poupança de 62 kW-h/t de etileno recebida, e outro projecto sobre a instalação de um permutador refrigerado com água salgada, que seria colocado a jusante dos aero-arrefecedores, nas liquefacções. Este estudo permitiu concluir que no caso em que o aero-arrefecedor está desligado, poupar-se-ia em média 2,95 kW-h/t de etileno, e quando o aero-arrefecedor estiver em série com o permutador, poupar-se-ia em média 1,88 kW-h/t de etileno. No âmbito da avaliação energética, foram estimadas também as perdas energéticas nos vários compressores do terminal portuário, tendo-se constatado que os compressores do sistema de refrigeração do 1,3-butadieno apresentam maiores perdas por tonelada de produto recebido. No caso da optimização energética, verificou-se que os casos mais rentáveis eram o 3, 4 e o de estudo, sendo que estes permitiram poupanças na ordem dos 900000 €. Concluiu-se também que liquefazer no terminal é melhor das Segundas às Sextas, a partir de 2 t/h, enquanto que aos Sábado, é a partir de 3 t/h. Aos Domingos liquefazer no terminal compensa sempre, porque não há horas de ponta nem horas cheias.

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”.

A domain specific language for domotic systems

To cope with modernity, the interesting of having a fully automated house has been increasing over the years, as technology evolves and as our lives become more stressful and overloaded. An automation system provides a way to simplify some daily tasks, allowing us to have more spare time to perform activities where we are really needed. There are some systems in this domain that try to implement these characteristics, but this kind of technology is at its early stages of evolution being that it is still far away of empowering the user with the desired control over a habitation. The reason is that the mentioned systems miss some important features such as adaptability, extension and evolution. These systems, developed from a bottom-up approach, are often tailored for programmers and domain experts, discarding most of the times the end users that remain with unfinished interfaces or products that they have difficulty to control. Moreover, complex behaviors are avoided, since they are extremely difficult to implement mostly due to the necessity of handling priorities, conflicts and device calibration. Besides, these solutions are only reachable at very high costs, yet they still have the limitation of being difficult to configure by non-technical people once in runtime operation. As a result, it is necessary to create a tool that allows the execution of several automated actions, with an interface that is easy to use but at the same time supports all the main features of this domain. It is also desirable that this tool is independent of the hardware so it can be reused, thus a Model Driven Development approach (MDD) is the ideal option, as it is a method that follows those principles. Since the automation domain has some very specific concepts, the use of models should be combined with a Domain Specific Language (DSL). With these two methods, it is possible to create a solution that is adapted to the end users, but also to domain experts and programmers due to the several levels of abstraction that can be added to diminish the complexity of use. The aim of this thesis is to design a Domain Specific Language (DSL) that uses the Model Driven Development approach (MDD), with the purpose of supporting Home Automation (HA) concepts. In this implementation, the development of simple and complex scenarios should be supported and will be one of the most important concerns. This DSL should also support other significant features in this domain, such as the ability to schedule tasks, which is something that is limited in the current existing solutions.

Framework for the semantic alignment of enterprise’s domain knowledge

Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.

Is there space to build one more transshipment terminal within Portuguese territory?

NSBE - UNL

Multipacket reception in the presence of in-band full-duplex communication

In-Band Full-DupleX (IB-FDX) is defined as the ability for nodes to transmit and receive signals simultaneously on the same channel. Conventional digital wireless networks do not implement it, since a node’s own transmission signal causes interference to the signal it is trying to receive. However, recent studies attempt to overcome this obstacle, since it can potentially double the spectral efficiency of current wireless networks. Different mechanisms exist today that are able to reduce a significant part of the Self- Interference (SI), although specially tuned Medium Access Control (MAC) protocols are required to optimize its use. One of IB-FDX’s biggest problems is that the nodes’ interference range is extended, meaning the unusable space for other transmissions and receptions is broader. This dissertation proposes using MultiPacket Reception (MPR) to address this issue and adapts an already existing Single-Carrier with Frequency-Domain Equalization (SC-FDE) receiver to IB-FDX. The performance analysis suggests that MPR and IB-FDX have a strong synergy and are able to achieve higher data rates, when used together. Using analytical models, the optimal transmission patterns and transmission power were identified, which maximize the channel capacity with the minimal energy consumption. This was used to define a new MAC protocol, named Full-duplex Multipacket reception Medium Access Control (FM-MAC). FM-MAC was designed for a single-hop cellular infrastructure, where the Access Point (AP) and the terminals implement both IB-FDX and MPR. It divides the coverage range of the AP into a closer Full-DupleX (FDX) zone and a farther Half-DupleX (HDX) zone and adds a tunable fairness mechanism to avoid terminal starvation. Simulation results show that this protocol provides efficient support for both HDX and FDX terminals, maximizing its capacity when more FDX terminals are used.

Estudo de melhoria da gestão da manutenção de um terminal petrolífero

A manutenção industrial tem ganho cada vez maior importância nas empresas. As exigências atuais obrigam os responsáveis pela manutenção a procurarem novas formas de organização, utilizando técnicas e metodologias que são normalmente utilizadas na gestão de outras áreas funcionais de empresas A presente dissertação foi elaborada no seguimento de um estágio profissional no âmbito da gestão das operações e manutenção de uma empresa do ramo petrolífero. O terminal petrolífero da Trafaria é uma instalação de comercialização, distribuição e armazenagem de produtos de origem petrolífera. Procurando sempre a melhoria do serviço de manutenção fornecido atualmente, esta dissertação busca investigar e intervir nos pontos em que seja possível uma melhoria do atual sistema de gestão da manutenção. No decorrer da avaliação das atividades da manutenção foi analisado o sistema atual de gestão da manutenção, bem como as diversas reparações efetuadas no dia-a-dia da instalação, com o objetivo de compreender o funcionamento do serviço da manutenção e quais as necessidades da instalação. É nos pontos que se evidenciaram como oportunidades de melhoria que se pretendeu atuar, otimizando o serviço da manutenção, e reduzindo ou eliminando os problemas identificados. Um outro foco de atenção do estudo esteve relacionado com a implementação de novas técnicas de manutenção industrial, nomeadamente, a Manutenção Produtiva Total e a Metodologia 5S. Foram desenvolvidos procedimentos e/ou planos de inspeções que sustentam os novos métodos implementados. Também é de salientar a implementação de uma nova aplicação informática de gestão da manutenção, acompanhada de uma revisão e reestruturação do plano de manutenção do terminal. Na realização desta tarefa foram revistas todas as intervenções e ordens de trabalho preconizadas pelo plano de manutenção. Algumas das melhorias propostas já foram implementadas, outras encontram-se em processo de implementação ou serão implementadas a médio/longo prazo. A implementação destas medidas vai permitir ao terminal ganhos significativos tanto ao nível quantitativo (utilização mais racional de todos os recursos) como também qualitativo (aumento da motivação, segurança e disciplina organizacional).

Determinantes socioculturais e políticas de saúde que influenciam a incidência da insuficiência renal crónica terminal, sob terapêutica de substituição da função renal : revisão sistemática

RESUMO - Asumo Insuficiência Renal Crónica Terminal é um problema de Saúde Pública, com elevada incidência e prevalência a nível mundial. Contudo, persistem variações geográficas destes indicadores que não são explicados pelos fatores clínicos ou fisiológicos. O objetivo do estudo é identificar os determinantes socioculturais e políticas de saúde que poderão influenciar a variação geográfica da incidência da insuficiência renal crónica sob terapêutica de substituição da função renal. Realizou-se uma revisão sistemática da literatura segundo a metodologia Prisma Statement nas bases de dados PubMed, Web of Science, Reportório Científico de Acesso Aberto de Portugal, Biblioteca Online e Google Académico, no período de 2010 a 2015, em inglês e português. De acordo com a metodologia eleita, foram definidos critérios de elegibilidade e, após a aplicação dos mesmos e avaliação da qualidade dos estudos (através do sistema de GRADE), foram identificados 5 artigos. Tendo por base os resultados obtidos, não foi possível identificar fatores socioculturais com influência na variação da incidência da insuficiência renal crónica sob terapêutica de substituição da função renal nos diferentes países. Por outro lado, constatou-se que as políticas de saúde, questões de acessibilidade e investimento na prevenção e diagnóstico precoce da patologia são fatores que exercem forte influência na incidência das terapêuticas de substituição da função renal. A identificação destes fatores é de extrema importância para intervir na promoção da saúde e diminuição das co-morbilidades relacionadas com a insuficiência renal crónica.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

Frequency-domain receiver design for doubly-selective channels

This work is devoted to the broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility. In order to cope with doubly-selective channels, receiver structures based on OFDM and SC-FDE block transmission techniques, are proposed, which allow cost-effective implementations, using FFT-based signal processing. The first subject to be addressed is the impact of the number of multipath components, and the diversity order, on the asymptotic performance of OFDM and SC-FDE, in uncoded and for different channel coding schemes. The obtained results show that the number of relevant separable multipath components is a key element that influences the performance of OFDM and SC-FDE schemes. Then, the improved estimation and detection performance of OFDM-based broadcasting systems, is introduced employing SFN (Single Frequency Network) operation. An initial coarse channel is obtained with resort to low-power training sequences estimation, and an iterative receiver with joint detection and channel estimation is presented. The achieved results have shown very good performance, close to that with perfect channel estimation. The next topic is related to SFN systems, devoting special attention to time-distortion effects inherent to these networks. Typically, the SFN broadcast wireless systems employ OFDM schemes to cope with severely time-dispersive channels. However, frequency errors, due to CFO, compromises the orthogonality between subcarriers. As an alternative approach, the possibility of using SC-FDE schemes (characterized by reduced envelope fluctuations and higher robustness to carrier frequency errors) is evaluated, and a technique, employing joint CFO estimation and compensation over the severe time-distortion effects, is proposed. Finally, broadband mobile wireless systems, in which the relative motion between the transmitter and receiver induces Doppler shift which is different or each propagation path, is considered, depending on the angle of incidence of that path in relation to the direction of travel. This represents a severe impairment in wireless digital communications systems, since that multipath propagation combined with the Doppler effects, lead to drastic and unpredictable fluctuations of the envelope of the received signal, severely affecting the detection performance. The channel variations due this effect are very difficult to estimate and compensate. In this work we propose a set of SC-FDE iterative receivers implementing efficient estimation and tracking techniques. The performance results show that the proposed receivers have very good performance, even in the presence of significant Doppler spread between the different groups of multipath components.

A minimal version of a Protein Tyrosine Phosphatase

Phosphatase and tensin homologue (PTEN) protein belongs to the family of protein tyrosine phos-phatase. Mutations on the phosphatase and tensin homologue (PTEN) protein are highly observed in diverse types of human tumors, being mostly identified on the phosphatase domain of the protein. Although PTEN is a modular protein composed by a phosphatase domain and a C2 domain for mem-brane anchoring, this work aimed at developing a minimal version of PTEN´s phosphatase domain. The minimal version (Small Domain) comprises a 28 residue peptide, with the PTEN 8-mer catalytic peptide accommodated between a α-helix and β-turn as observed in PTEN native structure. Firstly, a de novo prediction of the Small Domain´s secondary structure was carried out by molecular modeling tools. The stability of the predicted structures were then evaluated by Molecular Dynamics. Automated molecular docking of PTEN natural substrate PIP3, its analogue (Inositol) and a PTEN inhibitor (L-tar-tare) were performed with the modeled structure, and PTEN used as a positive control. The gene en-coding for Small Domain was designed and cloned into an expression vector at N-terminal of Green Fluorescence Protein (GFP) encoding gene. The fusion protein was then expressed in Escherichia coli cells. Different expression conditions have been explored for the production of the fusion protein to minimize the formation of inclusion bodies.

Targeting Heme with Single Domain Antibodies

Heme, i.e. iron (Fe) protoporphyrin IX, functions as a prosthetic group in a variety of hemoproteins that participate in vital biologic functions essential to sustain life. Heme is a highly reactive molecule, participating in redox reactions, and presumably for this reason it must be sequestered within the heme pockets of hemoproteins, controlling its reactivity. However, under biological stress conditions, hemoproteins can release their prosthetic groups, generating “free heme”, which binds loosely to proteins or to other molecules and presumably acquires unfettered redox activity. Moreover, a growing body of evidence supports the notion that “free heme” can act in a vasoactive, pro-inflammatory and cytotoxic manner when released from a subset of these hemoproteins, such as extracellular hemoglobin, generated during hemolytic conditions. (...)