Medium access control design for distributed opportunistic radio networks

Existing wireless networks are characterized by a fixed spectrum assignment policy. However, the scarcity of available spectrum and its inefficient usage demands for a new communication paradigm to exploit the existing spectrum opportunistically. Future Cognitive Radio (CR) devices should be able to sense unoccupied spectrum and will allow the deployment of real opportunistic networks. Still, traditional Physical (PHY) and Medium Access Control (MAC) protocols are not suitable for this new type of networks because they are optimized to operate over fixed assigned frequency bands. Therefore, novel PHY-MAC cross-layer protocols should be developed to cope with the specific features of opportunistic networks. This thesis is mainly focused on the design and evaluation of MAC protocols for Decentralized Cognitive Radio Networks (DCRNs). It starts with a characterization of the spectrum sensing framework based on the Energy-Based Sensing (EBS) technique considering multiple scenarios. Then, guided by the sensing results obtained by the aforementioned technique, we present two novel decentralized CR MAC schemes: the first one designed to operate in single-channel scenarios and the second one to be used in multichannel scenarios. Analytical models for the network goodput, packet service time and individual transmission probability are derived and used to compute the performance of both protocols. Simulation results assess the accuracy of the analytical models as well as the benefits of the proposed CR MAC schemes.

Electoral observation: Evidence from Mozambique

Electoral fraud is a common problem in young democracies. Election observers constitute one possible remedy. Yet, quantitative evidence of the exact effects of observers is scarce. Data on the random assignment of observers during Mozambique’s 2009 general elections is used to estimate the impact that observers have on ballot fraud. It is shown that the presence of national observers reduces high levels of turnout and manipulation of ballots. The findings contribute to the understanding of the behavior of politicians and have implications for the implementation of observer missions.

Damage propagation in composite Materials meso-mechanical models

Composite materials have a complex behavior, which is difficult to predict under different types of loads. In the course of this dissertation a methodology was developed to predict failure and damage propagation of composite material specimens. This methodology uses finite element numerical models created with Ansys and Matlab softwares. The methodology is able to perform an incremental-iterative analysis, which increases, gradually, the load applied to the specimen. Several structural failure phenomena are considered, such as fiber and/or matrix failure, delamination or shear plasticity. Failure criteria based on element stresses were implemented and a procedure to reduce the stiffness of the failed elements was prepared. The material used in this dissertation consist of a spread tow carbon fabric with a 0°/90° arrangement and the main numerical model analyzed is a 26-plies specimen under compression loads. Numerical results were compared with the results of specimens tested experimentally, whose mechanical properties are unknown, knowing only the geometry of the specimen. The material properties of the numerical model were adjusted in the course of this dissertation, in order to find the lowest difference between the numerical and experimental results with an error lower than 5% (it was performed the numerical model identification based on the experimental results).

Funcionalidade e qualidade de vida : um estudo no processo de envelhecimento em portadores e não portadores da diabetes tipo 2

RESUMO: Introdução: A diabetes é uma patologia crônica que vêm crescendo exponencialmente em países desenvolvidos e, principalmente, naqueles em desenvolvimento, como é o caso do Brasil. Além de gerar importante custo aos sistemas públicos de saúde, sabe-se que as consequências do mau controle da diabetes tem impacto importante na vida de indivíduos que apresentam a doença, como a perda precoce da funcionalidade e a reduzida qualidade de vida. Nesse sentido, o governo federal brasileiro estabelece em 2002 o Programa Hiperdia, que prevê educação terapêutica e a assistência multiprofissional como estratégias na prevenção e controle das consequências geradas pelo mau controle da diabetes. Objetivo: O estudo aqui proposto tem como objetivo avaliar de que modo a presença e o tempo de diagnóstico da diabetes do tipo 2 (DM2) estão associados à funcionalidade e qualidade de vida de indivíduos assistidos pelo Programa Hiperdia. Metodologia: Foram avaliados indivíduos com idade igual ou superior a 40 anos, residentes na cidade de Viçosa-Minas Gerais/Brasil, distribuídos em diferentes grupos conforme as perspectivas de análise 1 (estudo da presença da DM2) e 2 (estudo do tempo de diagnóstico da patologia). Para a perspectiva 1 dois diferentes grupos foram comparados: controle (CTL), indivíduos sem DM2 ou qualquer patologia em órgãos alvo da doença; e DM2, indivíduos diagnosticados com diabetes do tipo 2. Já para a perspectiva 2 de análise pessoas diagnosticadas com DM2 foram distribuídas em dois diferentes grupos: G1, indivíduos com tempo de diagnóstico da DM2 ≥ 1 ano e ≤ 5 anos; e G2, indivíduos com tempo de diagnóstico da DM2 ≥ 10 anos. Previamente, avaliamos o estado cognitivo dos participantes por meio do Mini Mental State Exam. Dados sociodemográficos e clínicos (rastreio de sintomas depressivos, sonolência diurna excessiva e antropometria) também foram avaliados, além da verificação do perfil bioquímico por meio de informações provenientes de prontuários médicos. Para o estudo da funcionalidade, os instrumentos Activities of Daily Living, Instrumental Activities of Daily Living e o Life Style Questionnaire foram utilizados, assim como o SF-36v2 para a avaliação da qualidade de vida. Por fim, outras variáveis como conhecimento sobre a DM2 e gestão da patologia também foram investigadas. 10 Resultados: 198 indivíduos (CTL: 81; DM2: 117) com idade ≥ 40 anos foram avaliados, dos quais 55,5% apresentaram idade igual ou superior a 60 anos. A maioria corresponderam ao sexo feminino (62,6%). Foram verificados similares resultados para o estado cognitivo em ambas as perspectivas de análise. Pode-se dizer que, para a perspectiva 1 (CTL vs. DM2), os grupos apresentaram diferenças estatísticas significantes para a maioria das variáveis estudadas e tendência para a variável estilo de vida, com resultados desfavorecedores ao grupo DM2. Para a perspectiva 2 (G1 vs. G2), nossos resultados não evidenciam diferenças significantes para o tempo de diagnóstico em nenhuma das variáveis estudadas. Conclusões: Os resultados do estudo mostram que a presença da DM2 em situação de inadequado controle, bem como o insuficiente conhecimento sobre a patologia entre os indivíduos assistidos pelo Centro Hiperdia podem representar um importante fator para a verificação da reduzida funcionalidade e qualidade de vida. Isto sugere a necessidade de ajustes na execução do Programa, de modo a tornar possível o alcance dos objetivos propostos pelo mesmo. Referente ao tempo de diagnóstico da DM2, em nossa amostra, os resultados indicam que este parece não representar um fator desfavorecedor da funcionalidade e qualidade de vida.---------------------------ABSTRACT: Introduction: Type 2 diabetes (DM2) is a chronic disease that has been growing exponentially in developed countries, and even more so in developing countries such as Brazil. In addition, the pathology generates a significant cost to public healthcare systems. It is well known that the poor control of diabetes has important consequences on the lives of individuals diagnosed with the disease, such as the early loss of functionality and a reduced quality of life. In this sense, the Brazilian federal government established the Programa Hiperdia in 2002, a program that provides therapeutic education and multidisciplinary care in order to prevent and control the consequences of diabetes. Objective: The aim of this study is to evaluate how the presence and the diagnosis time of DM2 are associated with the functionality and quality of life of individuals assisted by the Programa Hiperdia. Methodology: We evaluated individuals aged 40 years or older living in Viçosa, Minas Gerais/Brazil, and divided them into different groups according to the analytical perspectives 1 (the study of the presence of DM2) and 2 (the study of the diagnosis time of DM2). For perspective 1, two different groups were compared: the DM2 group, which consisted of individuals diagnosed with type 2 diabetes, and the control group (CTL), which consisted of individuals without type 2 diabetes or any disease in the target organs. For perspective 2, people diagnosed with type 2 diabetes were divided into two different groups: G1, individuals with diagnosis time ≥ 1 year and ≤ 5 years; and G2, individuals with diagnosis time ≥ 10 years. Prior to group assignment, we assessed the cognitive status of all participants with the Mini Mental State Exam (MMSE). Sociodemographic and clinical data (i.e. screening of depressive symptoms, excessive daytime sleepiness and anthropometry) were also evaluated, as well as the biochemical profile based on information from the local Hiperdia center. To study functionality, Activities of Daily Living, Instrumental Activities of Daily Living and Life Style Questionnaire were administered. Quality of life was assessed via the SF-36v2 Health Survey. Finally, variables such as knowledge about DM2 and disease management were also verified. Results: 198 subjects (CTL: 81; DM2: 117) aged ≥ 40 years were evaluated, of whom 55.5% were aged 60 years or older. The majority of subjects were women (62,6%). Cognitive status scores were similar amongst both analytical perspectives. In terms of perspective 1 (DM2. vs. CTL), it showed statistically significant differences between the groups for the most part of the variables studied, and poorer results in the DM2 group. Regarding perspective 2 (G1 vs. G2), our results did not show significant differences for the diagnosis time in any of the variables studied. Conclusions: Our findings show that the presence of DM2 with inadequate control of the condition, as well as lack of knowledge about the disease among individuals assisted by the Hiperdia center may represent an important factor in the poor functionality and reduced quality of life when compared to the control group. This suggests that the Program likely needs some adjustments on its implementation in order to make possible the achievement of the objectives proposed. With respect to the diagnosis time for DM2 in our sample, the results indicate that it does not seem to be a factor in poor functionality nor quality of life.

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.

Proving a market for a startup befor scaling using the hypothesis-driven entrepreneurship process

The year is 2015 and the startup and tech business ecosphere has never seen more activity. In New York City alone, the tech startup industry is on track to amass $8 billion dollars in total funding – the highest in 7 years (CB Insights, 2015). According to the Kauffman Index of Entrepreneurship (2015), this figure represents just 20% of the total funding in the United States. Thanks to platforms that link entrepreneurs with investors, there are simply more funding opportunities than ever, and funding can be initiated in a variety of ways (angel investors, venture capital firms, crowdfunding). And yet, in spite of all this, according to Forbes Magazine (2015), nine of ten startups will fail. Because of the unpredictable nature of the modern tech industry, it is difficult to pinpoint exactly why 90% of startups fail – but the general consensus amongst top tech executives is that “startups make products that no one wants” (Fortune, 2014). In 2011, author Eric Ries wrote a book called The Lean Startup in attempts to solve this all-too-familiar problem. It was in this book where he developed the framework for The Hypothesis-Driven Entrepreneurship Process, an iterative process that aims at proving a market before actually launching a product. Ries discusses concepts such as the Minimum Variable Product, the smallest set of activities necessary to disprove a hypothesis (or business model characteristic). Ries encourages acting briefly and often: if you are to fail, then fail fast. In today’s fast-moving economy, an entrepreneur cannot afford to waste his own time, nor his customer’s time. The purpose of this thesis is to conduct an in-depth of analysis of Hypothesis-Driven Entrepreneurship Process, in order to test market viability of a reallife startup idea, ShowMeAround. This analysis will follow the scientific Lean Startup approach; for the purpose of developing a functional business model and business plan. The objective is to conclude with an investment-ready startup idea, backed by rigorous entrepreneurial study.

A liberalização do mercado energético e o papel das entidades reguladoras

The liberalisation of the energy market goes back to the 1990s, when it was impelled by the European legislator. Since then, three legislative packages, temporarily successive, were approved. Those packages contained the measures to be implemented in order to deepen the internal energy market. Besides the opening up of several national markets to competition, the European legislator aimed the creation of a real internal energy market within the European Union. The unbundling regime was one of the most important steps with respect to the liberalisation process. The introduction of these rules ensured independence to the various market operators. A real and effective right of choice was granted to the consumers so they may choose their electricity and natural gas supplier. Therefore, the activity of comercialisation is subject to competition. However, some activities of the electricity’s and natural gas’ chain of value, namely the activities of transportation and distribution, were kept under regulation rules. Even though it may seem odd, the assignment of important competences and strong powers to a regulatory authority was essential in order to achieve the liberalisation process’ goals. Electricity and natural gas are essential public goods; therefore the market operators are legally bound to public service obligations, such as the security, the universality and the continuity of the supply. The performance of these obligations may become, in some cases, unprofitable for those operators. For such reason, the protection of the consumers’ rights shall only be properly defended if there is a regulatory authority that monitors the behaviour of the operators and sanctions the failure to comply with the public service obligations. Portugal, as a Member State of the European Union, transposed into the national legal order the European directives concerning the liberalisation process. This transposition has caused radical changes to the electricity and natural gas’ national markets. The Entidade Reguladora dos Serviços Energéticos also suffered various mutations in order to keep up with the regulatory demands regarding the liberalisation process.

Implementation of a probabilistic based framework for safety assessment of existing timber elements

The assessment of existing timber structures is often limited to information obtained from non or semi destructive testing, as mechanical testing is in many cases not possible due to its destructive nature. Therefore, the available data provides only an indirect measurement of the reference mechanical properties of timber elements, often obtained through empirical based correlations. Moreover, the data must result from the combination of different tests, as to provide a reliable source of information for a structural analysis. Even if general guidelines are available for each typology of testing, there is still a need for a global methodology allowing to combine information from different sources and infer upon that information in a decision process. In this scope, the present work presents the implementation of a probabilistic based framework for safety assessment of existing timber elements. This methodology combines information gathered in different scales and follows a probabilistic framework allowing for the structural assessment of existing timber elements with possibility of inference and updating of its mechanical properties, through Bayesian methods. The probabilistic based framework is based in four main steps: (i) scale of information; (ii) measurement data; (iii) probability assignment; and (iv) structural analysis. In this work, the proposed methodology is implemented in a case study. Data was obtained through a multi-scale experimental campaign made to old chestnut timber beams accounting correlations of non and semi-destructive tests with mechanical properties. Finally, different inference scenarios are discussed aiming at the characterization of the safety level of the elements.

Ontology-based representation and generation of workflows for micro-task human-machine computation

Doctoral Program in Computer Science

A Felicidade quer ser tua Amiga: educar para os valores na Creche e no Jardim de Infância

Relatório de estágio de mestrado em Educação Pré-Escolar

Annular flow of viscoelastic fluids: Analytical and numerical solutions

This work provides analytical and numerical solutions for the linear, quadratic and exponential Phan–Thien–Tanner (PTT) viscoelastic models, for axial and helical annular fully-developed flows under no slip and slip boundary conditions, the latter given by the linear and nonlinear Navier slip laws. The rheology of the three PTT model functions is discussed together with the influence of the slip velocity upon the flow velocity and stress fields. For the linear PTT model, full analytical solutions for the inverse problem (unknown velocity) are devised for the linear Navier slip law and two different slip exponents. For the linear PTT model with other values of the slip exponent and for the quadratic PTT model, the polynomial equation for the radial location (β) of the null shear stress must be solved numerically. For both models, the solution of the direct problem is given by an iterative procedure involving three nonlinear equations, one for β, other for the pressure gradient and another for the torque per unit length. For the exponential PTT model we devise a numerical procedure that can easily compute the numerical solution of the pure axial flow problem

Modelos de apoio às decisão na conceção e planeamento de um armazém

Programa Doutoral em Engenharia Industrial e de Sistemas.

Combining non-dominance, objective-order and spread metric to extend firefly algorithm to multi-objective optimization

In this paper, we propose an extension of the firefly algorithm (FA) to multi-objective optimization. FA is a swarm intelligence optimization algorithm inspired by the flashing behavior of fireflies at night that is capable of computing global solutions to continuous optimization problems. Our proposal relies on a fitness assignment scheme that gives lower fitness values to the positions of fireflies that correspond to non-dominated points with smaller aggregation of objective function distances to the minimum values. Furthermore, FA randomness is based on the spread metric to reduce the gaps between consecutive non-dominated solutions. The obtained results from the preliminary computational experiments show that our proposal gives a dense and well distributed approximated Pareto front with a large number of points.

Predictors of dropout in a controlled clinical trial of psychotherapy for moderate depression

A significant number of psychotherapy clients remain untreated, and dropping out is one of the main reasons. Still, the literature around this subject is incoherent. The present study explores potential pre-treatment predictors of dropout in a sample of clients who took part in a clinical trial designed to test the efficacy of narrative therapy for major depressive disorder compared to cognitive-behavioral therapy. Logistic regression analysis showed that: (1) treatment assignment did not predict dropout, (2) clients taking psychiatric medication at intake were 80% less likely to drop out from therapy, compared to clients who were not taking medication, and (3) clients presenting anxious comorbidity at intake were 82% less likely to dropout compared to those clients not presenting anxious comorbidity. Results suggest that clinicians should pay attention to depressed clients who are not taking psychiatric medication or have no comorbid anxiety. More research is needed in order to understand this relationship.

Um modelo de programação inteira para a otimização da distribuição do serviço docente

Dissertação de mestrado em Engenharia Industrial