Chemical approaches to ubiquitous computing

Dissertação apresentada para obtenção do Grau de Doutor em Química, perfil de Química Física, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

A new opportunity for human resources management to create value: Shaping a new business paradigm in the context of the Portuguese hotel industry

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

On the cloud deployment of a session abstraction for service/data aggregation

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Controlo de qualidade interno: elaboração de um programa de Controlo de Qualidade Interno segundo as boas práticas da Qualidade

RESUMO: Esta dissertação pretende apresentar uma proposta para um programa de Controlo de Qualidade interno das hormonas tiroideias, segundo as boas práticas da qualidade. Para que se comprove o rigor e fiabilidade dos seus resultados analíticos, condição indispensável para que estes possam servir de base às mais diversas tomadas de decisão, toda a filosofia que envolve a qualidade assume um papel preponderante. Neste contexto a elaboração de um programa de controlo de qualidade adequado é muito importante e imprescindível. A realização do controlo de qualidade permite monitorizar o desempenho de todos os materiais, equipamentos, instrumentos e métodos analíticos bem como criar sinais de alerta para prevenir a emissão de resultados não-conformes e indicar a necessidade de ações corretivas. Permite também indicar a necessidade de melhorias em processos e em atividades ligadas aos operadores e consciencializar o pessoal de que o controlo da qualidade é um dever para com o cliente e tem a função de gerar confiança nos resultados obtidos. O controlo de qualidade interno abrange todos os procedimentos assumidos por um laboratório para avaliação contínua do seu trabalho. A sua finalidade é assegurar a consistência dos resultados diários e a sua conformidade com critérios definidos, avaliando a precisão dos ensaios e dando indicação do momento para se promoverem ações corretivas quando surge uma não conformidade. Segundo as melhores práticas da qualidade, serão calculados os valores do controlo de qualidade interno para as hormonas tiroideias, os seus limites e critérios (regras) de aceitabilidade, com base na relação entre o desempenho analítico e o Erro Máximo Admissível. Pretende-se assim, otimizar o desempenho do Controlo de Qualidade Interno, aperfeiçoando a capacidade de identificação do erro.-------- ABSTRACT: This paper intends to submit a proposal for a thyroid hormones internal quality Control program, according to the best quality practices. The whole philosophy involving quality plays a central role in order to prove the accuracy and reliability of the analytical results, a basic prerequisite for decision making. In this context the elaboration of an appropriate quality control program is essential and very important. Quality control allows the motorization of the performance of all materials, equipment, instruments and analytical methods, as well as the creation of warning signals indicating the need for corrective actions, to prevent the release of non-compliant results. It also indicates the need for improvements in the processes and operating activities as well as making the staff aware that quality control is a duty to the client and promotes confidence in the results. The internal quality control covers all procedures undertaken by a laboratory for a continuous evaluation of its performance. Its purpose is to ensure the consistency of the daily results and compliance with defined criteria, assessing the accuracy of the tests and indicating the moment to promote corrective actions when nonconformity appears. According to the best quality practices, the values of the internal quality control for the thyroid hormones, their limits and criteria (rules) of acceptability will be calculated, based on the relationship between analytical performance and the maximum allowable error. Thus, the aim is to optimize the performance of the Internal Quality Control, improving the ability for error detection and identification.

Mainroad: Cloud computing

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

Estimating data divergence in cloud computing storage systems

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

TSKY: a dependable middleware solution for data privacy using public storage clouds

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Narrative Bifurcation, Cloud Computing Interfaces and Hitchcok

From a narratological perspective, this paper aims to address the theoretical issues concerning the functioning of the so called «narrative bifurcation» in data presentation and information retrieval. Its use in cyberspace calls for a reassessment as a storytelling device. Films have shown its fundamental role for the creation of suspense. Interactive fiction and games have unveiled the possibility of plots with multiple choices, giving continuity to cinema split-screen experiences. Using practical examples, this paper will show how this storytelling tool returns to its primitive form and ends up by conditioning cloud computing interface design.

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Developing clinical trials in the portuguese family medicine : challenges and opportunities in the European context

RESUMO: Introdução: A hipótese colocada nesta tese é a de que poderia haver um número bastante mais elevado de ensaios clínicos na medicina familiar portuguesa se os obstáculos fossem removidos e as oportunidades exploradas de modo adequado. Contexto: Em Portugal existe uma nova geração de Médicos de Família que está a assumir postos de trabalho um pouco por todo o país e que é aceite como sendo a mais bem preparada geração de sempre. Métodos: Busca na MEDLINE. Leitura de artigos na única publicação científica dedicada à Medicina Geral e Familiar – RPMGF. Consulta em livros portugueses de política da saúde e acerca do Plano Nacional de Saúde. O INFARMED foi contactado e relatórios seus sobre ensaios clínicos foram analisados. Os Médicos de Família portugueses foram contactados e convidados a responder a questionários. Além disso, quinze personalidades da Medicina Portuguesa foram chamadas a sugerir soluções. Resultados: De acordo com dados do INFARMED, de 2006 a 2011 houve apenas quatro centros de saúde envolvidos em ensaios clínicos. Em Portugal: Existe um número pouco significativo de ensaios académicos; Praticamente não há infraestruturas de suporte ou treino; Os registos clínicos eletrónicos são usados de forma ineficiente; a investigação é fracamente ligada às carreiras médicas; há isolamento interno e externo; a já complexa regulamentação da União Europeia é complicada ainda mais; há um subfinanciamento da Investigação Clínica. Os Médicos de Família portugueses estão disponíveis para participar ativamente numa mudança. Discussão: Com os presentes resultados o diagnóstico para a presente situação é claramente negativo. Felizmente existem muito boas oportunidades para melhorar. Conclusão/Recomendações: Tempo, dinheiro e apoio têm de ser fornecidos aos Médicos de Família portugueses. É nesse sentido que são fornecidas vinte recomendações para obter uma verdadeira mudança no panorama dos Ensaios Clínicos na Medicina Familiar portuguesa.-------------ABSTRACT: Introduction: The hypothesis of this thesis is that there could be a much greater number of Clinical Trials in Portuguese Family Medicine if obstacles were removed and opportunities explored properly. Background: In Portugal there is a new generation of Family Doctors that is assuming permanent positions all over the country and is accepted to be the most well prepared generation ever. Methods: Search on MEDLINE. Relevant articles were also identified in the only jornal dedicated to Portuguese Family Medicine, RPMGF. A search was made on Portuguese health policy textbooks and national health plan policy. INFARMED was also contacted and their reports about Clinical Trials were analysed. Portuguese Family Doctors themselves were contacted and invited to answer questionnaires. Besides that, fifteen key opinion leaders related to Portuguese Medicine were approached for solutions. Results: According to INFARMED data, from 2006 to 2011 there were only four health centres involved in clinical trials. In Portugal there is: A negligible number of academic trials; almost no support infrastructures or training; inefficiently used electronic health records; a research weakly linked to medical careers; an uninformed isolation internally and externally; an already complex European Union regulation that is compounded even more; Scarce funding for clinical research. Portuguese Family Doctors are keen to actively participate in a change. Discussion: With the present results the diagnosis for the current situation is clearly negative. Fortunately there are very good opportunities to improve. Conclusion/Recommendations: Time, money and support must be given to Portuguese Family Doctors. In this context, twenty recommendations are provided intending to promote a true change in Portuguese Family Medicine Clinical Trials panorama.

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.

Optimization of breast tomosynthesis image reconstruction using parallel computing

Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation.

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.

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.

Identificação das práticas de inovação aberta nas parcerias estratégicas: avaliação realizada com prestadores de cloud computing

No atual contexto da inovação, um grande número de estudos tem analisado o potencial do modelo de Inovação Aberta. Neste sentido, o autor Henry Chesbrough (2003) considerado o pai da Inovação Aberta, afirma que as empresas estão vivenciando uma “mudança de paradigma” na maneira como desenvolvem os seus processos de inovação e na comercialização de tecnologia e conhecimento. Desta forma, o modelo de Inovação Aberta defende que as empresas podem e devem utilizar os recursos disponíveis fora das suas fronteiras sendo esta combinação de ideias e tecnologias internas e externas crucial para atingir uma posição de liderança no mercado. Já afirmava Chesbrough (2003) que não se faz inovação isoladamente e o próprio dinamismo do cenário atual reforça esta ideia. Assim, os riscos inerentes ao processo de inovação podem ser atenuados através da realização de parcerias entre empresas e instituições. A adoção do modelo de Inovação Aberta é percebida com base na abundância de conhecimento disponível, que poderá proporcionar valor também à empresa que o criou, como é o caso do licenciamento de patentes. O presente estudo teve como objetivo identificar as práticas de Inovação Aberta entre as parcerias mencionadas pelas empresas prestadoras de Cloud Computing. Através da Análise de Redes Sociais foram construídas matrizes referentes às parcerias mencionadas pelas empresas e informações obtidas em fontes secundárias (Sousa, 2012). Essas matrizes de relacionamento (redes) foram analisadas e representadas através de diagramas. Desta forma, foi possível traçar um panorama das parcerias consideradas estratégicas pelas empresas entrevistadas e identificar quais delas constituem, de fato, práticas de Inovação Aberta. Do total de 26 parcerias estratégicas mencionadas nas entrevistas, apenas 11 foram caracterizadas como práticas do modelo aberto. A análise das práticas conduzidas pelas empresas entrevistadas permite verificar algumas limitações no aproveitamento do modelo de Inovação Aberta. Por fim, são feitas algumas recomendações sobre a implementação deste modelo pelas pequenas e médias empresas baseadas em tecnologias emergentes, como é o caso do conceito de cloud computing.