Watershed-scale runoff routing and solute transport in a spatially aggregated hydrological framework

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

A knowledge-based framework to facilitate E-training implementation

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

Development of a satellite based PM10 concentration product for urban areas

Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente

Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

A framework for efficient model transformations

The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.

Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX

Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking into account the restrictions imposed by tissue microstructure, which are not considered in Diffusion Tensor Imaging (DTI), where the water diffusion is considered purely gaussian. As a result DKI provides more accurate information on biological structures and is able to detect important abnormalities which are not visible in standard DTI analysis. This work regards the development of a tool for DKI computation to be implemented as an OsiriX plugin. Thus, as OsiriX runs under Mac OS X, the pro-gram is written in Objective-C and also makes use of Apple’s Cocoa framework. The whole program is developed in the Xcode integrated development environ-ment (IDE). The plugin implements a fast heuristic constrained linear least squares al-gorithm (CLLS-H) for estimating the diffusion and kurtosis tensors, and offers the user the possibility to choose which maps are to be generated for not only standard DTI quantities such as Mean Diffusion (MD), Radial Diffusion (RD), Axial Diffusion (AD) and Fractional Anisotropy (FA), but also DKI metrics, Mean Kurtosis (MK), Radial Kurtosis (RK) and Axial Kurtosis (AK).The plugin was subjected to both a qualitative and a semi-quantitative analysis which yielded convincing results. A more accurate validation pro-cess is still being developed, after which, and with some few minor adjust-ments the plugin shall become a valid option for DKI computation

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.

Towards an algorithmic skeleton framework for programming the Intel R Xeon PhiTM processor

The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architecture. It is a co-processor specially tailored for data-parallel computations, whose basic architectural design is similar to the ones of GPUs (Graphics Processing Units), leveraging the use of many integrated low computational cores to perform parallel computations. The main novelty of the MIC architecture, relatively to GPUs, is its compatibility with the Intel x86 architecture. This enables the use of many of the tools commonly available for the parallel programming of x86-based architectures, which may lead to a smaller learning curve. However, programming the Xeon Phi still entails aspects intrinsic to accelerator-based computing, in general, and to the MIC architecture, in particular. In this thesis we advocate the use of algorithmic skeletons for programming the Xeon Phi. Algorithmic skeletons abstract the complexity inherent to parallel programming, hiding details such as resource management, parallel decomposition, inter-execution flow communication, thus removing these concerns from the programmer’s mind. In this context, the goal of the thesis is to lay the foundations for the development of a simple but powerful and efficient skeleton framework for the programming of the Xeon Phi processor. For this purpose we build upon Marrow, an existing framework for the orchestration of OpenCLTM computations in multi-GPU and CPU environments. We extend Marrow to execute both OpenCL and C++ parallel computations on the Xeon Phi. We evaluate the newly developed framework, several well-known benchmarks, like Saxpy and N-Body, will be used to compare, not only its performance to the existing framework when executing on the co-processor, but also to assess the performance on the Xeon Phi versus a multi-GPU environment.

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.

Caracterização dos beneficiários do Programa De volta para casa de Belo Horizonte/MG/Brasil quanto à autonomia e comportamento social

RESUMO: INTRODUÇÃO E OBJETIVOS: Trata-se de estudo transversal descritivo, em etapa única, cujo objetivo foi traçar o perfil dos beneficiários do Programa De volta para casa (PVC), munícipes de Belo Horizonte / Minas Gerais / Brasil, quanto ás habilidades de vida independente (autonomia) e comportamento social. MÉTODO: O universo inicial de beneficiários era de 210, em julho de 2013, data de aprovação do protocolo. Por questões operacionais, o público-alvo considerado e estudado foi de 121 beneficiários. Foram utilizados como instrumentos as escalas Independent Living Skills Survey (ILSS) e Social Behavior Scale (SBS). Foi feita a análise estatística dos dados e os resultados foram analisados à luz do paradigma emergente de produção social da saúde. RESULTADOS: Considerando o total válido estudado de 121 beneficiários, os resultados revelaram que 82,4% apresentam diagnóstico de esquizofrenia e 62% eram do sexo masculino. Apresentaram média de idade de 57,9 anos e tempo médio de internação psiquiátrica antes de inserção no programa de 30,9 anos. Quanto à autonomia, os resultados da ILSS revelaram uma média global de 1,6 sendo que os melhores índices foram alcançados nos subitens Cuidados pessoais (2,69), Alimentação (2,53), Saúde (2,07) e os piores índices foram encontrados nos subitens Emprego (0,47), Lazer (0,86) e Preparo e armazenamento de alimentos (0,98). Quanto aos problemas no comportamento social, os resultados da SBS revelaram uma média global de 0,69 sendo que as áreas de maiores dificuldade foram: Rir ou falar sozinho (40,5%), Incoerência da fala (29%), Auto-cuidado precário e Pouca atividade (ambas com 25,6% cada). As áreas de menores dificuldades, ainda quanto à SBS, foram: Idéias suicidas 92,4%), Comportamento sexual inapropriado (7,4%) e Depressão (9,9%). CONCLUSÃO: Concluiu-se que o perfil dos beneficiários do PVC, quanto à autonomia e aos problemas de comportamento social, aponta para médias relativamente baixas. O desafio para o enfrentamento desta questão deverá considerar estratégias múltiplas de ação à luz do paradigma emergente de saúde e da reabilitação psicossocial que priorize o empoderamento e protagonismo do beneficiário. É necessário o desenvolvimento de outros estudos que ampliem o evidenciamento desta clientela no que tange às suas reais necessidades e potencialidades para que se possa efetivar o ajuste necessário para a legitimação do programa enquanto ação efetivo-eficaz de promoção de saúde.-------------ABSTRACT: descriptive cross-sectional study in a single stage was conducted to investigate independent living skills and social behavior profile of beneficiaries of Programa De Volta para casa (PVC) who live in Belo Horizonte/Minas Gerais/Brazil. METHODS: The target population included a total of 210 individuals in july 2013, when the study was approved by the ethics committees. Because of operational reasons only 121 individuals were evaluated. Data were collected using the Independent Living Skills Survey (ILSS) and the Social Behavior Scale (SBS). Statistical results were analyzed considering as a reference framework both the emerging paradigm of social health production. RESULTS: Considering a sample of 121 individuals, results revealed that 82.4% were diagnosed with schizophrenia, and 62% were male. The mean age was 57.9 years and the mean stay in the psychiatric hospital prior to PVC was 30.9 years. Independent living skills measured by ILSS revealed a global mean of 1.6, and the best scores were in the following subscales: personal care (2.69), feeding (2.53) and health (2.07). On the other hand, the worst scores were in the following subscales: employment (0.47), leisure (0.86) and food preparation (0.98). Impairment of social functioning measured by SBS revealed a global mean of 0.69, and the best scores were in the following subscales: laughing and talking by itself (40.5%), conversation: incoherence (29%), appearance and personal hygiene (25.6%), and idleness (25.6%). The worst scores were in the following subscales: suicidal ideations (92.4%), improper sexual behavior (7.4%), and depression (9.9%). CONCLUSION: It was concluded that the profile of PVC beneficiaries, regarding their autonomy and their problems of social behavior, points to a relatively low average. The challenge of facing this issue should consider multiple strategies of intervention that prioritizes the empowerment and leadership of the beneficiaries, based on the emerging paradigm of health and psychosocial rehabilitation as a reference framework. The development of other studies that expand the evidencing of this target population with respect to their real needs and capabilities in order to carry out the necessary adjustments for the legitimacy of the program as effective health promotion action is required.

Lessons from the epidemiological surveillance program, during the influenza A (H1N1) virus epidemic, in a reference university hospital of Southeastern Brazil

INTRODUCTION: The case definition of influenza-like illness (ILI) is a powerful epidemiological tool during influenza epidemics. METHODS: A prospective cohort study was conducted to evaluate the impact of two definitions used as epidemiological tools, in adults and children, during the influenza A H1N1 epidemic. Patients were included if they had upper respiratory samples tested for influenza by real-time reverse transcriptase polymerase chain reaction during two periods, using the ILI definition (coughing + temperature > 38ºC) in period 1, and the definition of severe acute respiratory infection (ARS) (coughing + temperature > 38ºC and dyspnoea) in period 2. RESULTS: The study included 366 adults and 147 children, covering 243 cases of ILI and 270 cases of ARS. Laboratory confirmed cases of influenza were higher in adults (50%) than in children (21.6%) ( p < 0.0001) and influenza infection was more prevalent in the ILI definition (53%) than ARS (24.4%) (p < 0.0001). Adults reported more chills and myalgia than children (p = 0.0001). Oseltamivir was administered in 58% and 46% of adults and children with influenza A H1N1, respectively. The influenza A H1N1 case fatality rate was 7% in adults and 8.3% in children. The mean time from onset of illness until antiviral administration was 4 days. CONCLUSIONS: The modification of ILI to ARS definition resulted in less accuracy in influenza diagnosis and did not improve the appropriate time and use of antiviral medication.

Methodological framework for detection of harmonisation breaking in service environments

As the complexity of markets and the dynamicity of systems evolve, the need for interoperable systems capable of strengthening enterprise communication effectiveness increases. This is particularly significant when it comes to collaborative enterprise networks, like manufacturing supply chains, where several companies work, communicate, and depend on each other, in order to achieve a specific goal. Once interoperability is achieved, that is once all network parties are able to communicate with and understand each other, organisations are able to exchange information along a stable environment that follows agreed laws. However, as markets adapt to new requirements and demands, an evolutionary behaviour is triggered giving space to interoperability problems, thus disrupting the sustainability of interoperability and raising the need to develop monitoring activities capable of detecting and preventing unexpected behaviour. This work seeks to contribute to the development of monitoring techniques for interoperable SOA-based enterprise networks. It focuses on the automatic detection of harmonisation breaking events during real-time communications, and strives to develop and propose a methodological approach to handle these disruptions with minimal or no human intervention, hence providing existing service-based networks with the ability to detect and promptly react to interoperability issues.

Prevalence of hepatitis B virus infection and carriage after nineteen years of vaccination program in the Western Brazilian Amazon

INTRODUCTION: Reductions in the prevalence of hepatitis B virus (HBV) infection and carriage, decreases in liver cancer incidence, and changes in patterns of liver dysfunctions are described after hepatitis B vaccination. METHODS: We conducted a population-based seroprevalence study aimed at estimating the HBV prevalence and risk of infection in the rural area of Lábrea following nineteen years of HBV vaccination. RESULTS: Half of the subjects showed total anti-HBc of 52.1% (95% CI 49.6-54.7). The HBsAg prevalence was 6.2% (95% CI 5.1-7.6). Multivariate analysis showed an inverse association between HBV infection and vaccination (OR 0.62; 95% CI 0.44-0.87). HBsAg remained independently associated with past hepatitis (OR 2.44; 95% CI 1.52-3.89) and inversely to vaccination (OR 0.43; 95% CI 0.27-0.69). The prevalence of HBeAg among HBsAg-positive individuals was 20.4% (95% CI 12.8-30.1), with the positive subjects having a median age of 11 years (1-46) p=0.0003. CONCLUSIONS: We demonstrate that HBV infection is still an important public health issue and that HBV vaccination could have had better impact on HBV epidemiology. If we extrapolate these findings to other rural areas in the Brazilian Amazon, we can predict that the sources of chronic infected patients remain a challenge. Future studies are needed regarding clinical aspects, molecular epidemiology, surveillance of acute cases, and risk groups.

A segurança das infraestruturas críticas em Portugal

Portugal, having responsibilities at European level, needs to ensure compliance with European standards, particularly with regard to the European Security Plan for Critical Infrastructures. National critical infrastructures should be a focus of attention with regard to the management of public risks, since these represent "a set of services that are essential to the functioning of the country and the functioning of the forces that ensure national defense." (Soares, 2008) This contribution on national critical infrastructures (CI) has the essential objective of clarifying the development of the strategy adopted by Portugal in pursuit of the security of these fundamental infrastructures. The goal lies not only through producing a descriptive document, but also carry a brief confrontation between the legal framework related to these subjects and the reality in which the Critical Infrastructure Operators and the National Civil Protection Authority (ANPC) operate. It is intended, in this sense, to understand the development of the project for the national security program of critical infrastructures and what effects of its measures on operators. As for the methodology, we followed a methodological strategy, where we combine the literature with data obtained through semi-structured interviews. Portugal, being a geographically peripheral country and having no record of incidents capable of causing major contingencies in key services for the normal development of society, does not have a structured and regulator plan that substantiates the need for operators responsible for CI to invest in security. This same approach is expected at the State level, believing that even though this theme has be widely explored by international institutions, Portugal has not yet tried to give the attention it deserves. Without the existence of an institution and a regulatory system, CI operators can become less available to comply with the legal framework.

Incidence of congenital toxoplasmosis in the city of Belém, state of Pará, northern Brazil, determined by a neonatal screening program: preliminary results

INTRODUCTION: The aim of this study was to determinate the incidence of congenital toxoplasmosis among a group of newborns (NBs) from Belém using neonatal screening. METHODS: Among the 6,000 newborns referred for investigation of genetic and metabolic diseases, 1,000 were selected for screening for congenital toxoplasmosis by determining the amount of IgM in the eluates of blood collected on filter paper. Positive tests were confirmed using paired serology of the NB and his mother. RESULTS: Out of the 1,000 NBs assessed, one had a positive screening result that was confirmed by paired serology. CONCLUSIONS: The incidence of congenital toxoplasmosis in Belém was 10/10,000 live NBs.