Data-centric concurrency control on the java programming language

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Avatar modeling: a telepresence study with natural user interface

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

A low-voltage RF-CMOS receiver front-end for a wireless fall detection microsystem

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores, pela Universidade Nova de Ciências e Tecnologia

Real-time labview assessment on adsorption systems

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

Wireless triple play system

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

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.

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.

m-SportGIS

Information technologies (ITs), and sports resources and services aid the potential to transform governmental organizations, and play an important role in contributing to sustainable communities development, respectively. Spatial data is a crucial source to support sports planning and management. Low-cost mobile geospatial tools bring productive and accurate data collection, and their use combining a handy and customized graphical user interface (GUI) (forms, mapping, media support) is still in an early stage. Recognizing the benefits — efficiency, effectiveness, proximity to citizens — that Mozambican Minister of Youth and Sports (MJD) can achieve with information resulted from the employment of a low-cost data collection platform, this project presents the development of a mobile mapping application (app) — m-SportGIS — under Open Source (OS) technologies and a customized evolutionary software methodology. The app development embraced the combination of mobile web technologies and Application Programming Interfaces (APIs) (e.g. Sencha Touch (ST), Apache Cordova, OpenLayers) to deploy a native-to-the-device (Android operating system) product, taking advantage of device’s capabilities (e.g. File system, Geolocation, Camera). In addition to an integrated Web Map Service (WMS), was created a local and customized Tile Map Service (TMS) to serve up cached data, regarding the IT infrastructures limitations in several Mozambican regions. m-SportGIS is currently being exploited by Mozambican Government staff to inventory all kind of sports facilities, which resulted and stored data feeds a WebGIS platform to manage Mozambican sports resources.

Analysis of panoramio photo tags in order to extract land use information

In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

Intervenção da fisioterapia em indíviduos com osteoartrose do joelho: características da prática clínica, resultados obtidos e fatores de prognóstico para os resultados de sucesso

RESUMO:Introdução: O conhecimento acerca da prática da Fisioterapia, bem como a influência das características dos indivíduos com Osteoartrose do joelho (OA) no prognóstico dos resultados alcançados com a Fisioterapia, tem sido alvo de estudo em vários países. No entanto em Portugal, estudos desta natureza são escassos ou inexistentes. Objetivo: Este trabalho teve dois principais objetivos: Por um lado pretendeu caracterizar a prática da Fisioterapia e determinar os seus resultados em indivíduos com OA do joelho ao nível da intensidade da dor, incapacidade funcional e perceção global de melhoria; Por outro, identificar fatores preditivos para os resultados de sucesso após a intervenção da Fisioterapia. Metodologia: Trata-se de um estudo de coorte prospetivo com 77 participantes que foram avaliados antes e após a intervenção (8 semanas), com um follow-up de 3 meses. Procedeu-se à caracterização da prática da Fisioterapia quanto às modalidades utilizadas, número de sessões de tratamento e duração do episódio de cuidados. Os resultados obtidos foram medidos após intervenção (8 semanas) e num follow-up (3 meses), através da Escala Numérica da Dor (END), da versão Portuguesa do Questionário Knee Injury and Osteoarthritis Outcome Score (KOOS-PT), e da versão Portuguesa da Patient Global Impression of Change Scale (PGIC-PT). As características sociodemográficas e clínicas foram incluídas como potenciais fatores de prognóstico com base no critério de pontuação ≥5 na PGIC-PT e a análise dos dados foi realizada através do método de regressão logística multivariado no sentido de identificar as associações entre as variáveis na baseline e as variáveis de resultado (p<0.05). Resultados: Os resultados obtidos revelaram que existe uma grande diversidade de modalidades e procedimentos terapêuticos realizados pelos fisioterapeutas no tratamento da OA do joelho (em média 4 modalidades por utente), sendo os exercícios, a eletroterapia e a terapia manual, as intervenções mais frequentemente realizadas. Os resultados da intervenção revelaram uma redução significativa da intensidade da dor e da incapacidade funcional (medida pelas diferentes dimensões da KOOS-PT) às 8 semanas e aos 3 meses (p=0,001). A probabilidade de obter bons resultados na percepção de melhoria para realizar actividades da vida diária, está significativamente associada com a pontuação na dimensão KOOS AVD (OR=1,106, 95% IC 1,056-1,159) e com a intensidade da dor, (OR=0,543, 95% IC 0,300-0,983), na baseline. A probabilidade de obter bons resultados na percepção de melhoria relativa à dor, está significativamente associada com a pontuação na dimensão KOOS DOR (OR=1,116, 95% IC 1,030-1,209), e dimensão KOOS ADL (OR=1,123, 95% IC 1,014-1,243), na baseline. Conclusões: Os resultados do presente estudo revelam que a intervenção em Fisioterapia em casos de OA do joelho, apesar de utilizar uma grande diversidade de modalidades terapêuticas, proporciona uma redução significativa dos níveis de dor e incapacidade funcional em utentes com OA do joelho. Os resultados do presente estudo sugerem ainda que o sucesso da intervenção pode ser predito a partir de variáveis clinicas na baseline.------------ABSTRACT:Introduction: The knowledge about the practice of physical therapy, as well as the influence of the characteristics of subjects with knee osteoarthritis (OA) in the prognosis of the results achieved with physiotherapy, have been studied in several countries. However in Portugal, such studies are scarce or nonexistent. Objective: This study had two main aims: on one hand sought to characterize the practice of physical therapy and determine their outcomes in subjects with OA of the knee joint at the level of pain intensity, functional disability and global perception of improvement; Secondly, to identify predictive factors for successful outcomes after the intervention of physiotherapy. Methods: This was a prospective cohort study with 77 participants who were evaluated before and after the intervention (8 weeks), with a follow-up of 3 months. Proceeded to characterize the practice of physical therapy as modalities used, number of treatment sessions and duration of the period of care. The results were measured after intervention (8 weeks) and a follow-up (3 months) by a Numerical Rating Scale (NRS), the Portuguese version of the Knee Injury and Osteoarthritis Questionnaire Outcome Score (KOOS-PT) and the Patient Global Impression of Change Scale- Portuguese Version (PGIC-PT). The sociodemographic and clinical characteristics were included as potential prognostic factors based on scoring criteria≥5 na PGIC-PT and data analysis was performed using the method of multivariate logistic regression to identify associations between variables at baseline and outcome variables (p<0.05). Results: The results revealed that there is a great diversity of modalities and therapeutic procedures performed by physiotherapists in the treatment of knee OA (average 4 per user modes), with exercises, electrotherapy and manual therapy interventions most frequently performed. The results of intervention showed a significant reduction in the severity of pain and functional disability (measured by the different dimensions of the KOOS-PT) at 8 weeks and at 3 months (p = 0.001). The probability of getting good results in the perception of improvement to perform activities of daily living, is significantly associated with scores on the dimension KOOS ADL (OR=1,106, 95% CI 1,056-1,159) and the intensity of pain (OR = 0.543, 95% CI 0.300 to 0.983) at baseline. The probability of getting good results in the perception of improvement of the pain is significantly associated with scores on the KOOS PAIN (OR = 1.116, 95% CI 1.030 to 1.209) and KOOS ADL (OR = 1.123, 95% CI 1.014 to 1.243) at the baseline. Conclusions: The results of this study show that Physiotherapy treatment in cases of knee OA, provide a significant reduction of pain and disability among users with knee OA, despite the wide variety of therapeutic modalities. The results of this study also suggest that the success of the intervention can be predicted from clinical variables at baseline.

Machine ethics via logic programming

Machine ethics is an interdisciplinary field of inquiry that emerges from the need of imbuing autonomous agents with the capacity of moral decision-making. While some approaches provide implementations in Logic Programming (LP) systems, they have not exploited LP-based reasoning features that appear essential for moral reasoning. This PhD thesis aims at investigating further the appropriateness of LP, notably a combination of LP-based reasoning features, including techniques available in LP systems, to machine ethics. Moral facets, as studied in moral philosophy and psychology, that are amenable to computational modeling are identified, and mapped to appropriate LP concepts for representing and reasoning about them. The main contributions of the thesis are twofold. First, novel approaches are proposed for employing tabling in contextual abduction and updating – individually and combined – plus a LP approach of counterfactual reasoning; the latter being implemented on top of the aforementioned combined abduction and updating technique with tabling. They are all important to model various issues of the aforementioned moral facets. Second, a variety of LP-based reasoning features are applied to model the identified moral facets, through moral examples taken off-the-shelf from the morality literature. These applications include: (1) Modeling moral permissibility according to the Doctrines of Double Effect (DDE) and Triple Effect (DTE), demonstrating deontological and utilitarian judgments via integrity constraints (in abduction) and preferences over abductive scenarios; (2) Modeling moral reasoning under uncertainty of actions, via abduction and probabilistic LP; (3) Modeling moral updating (that allows other – possibly overriding – moral rules to be adopted by an agent, on top of those it currently follows) via the integration of tabling in contextual abduction and updating; and (4) Modeling moral permissibility and its justification via counterfactuals, where counterfactuals are used for formulating DDE.

Students' choice of a master in management in Portugal: A means-end chain approach

In the increasingly competitive market of higher education introduced by the Bologna Declaration, understanding the decision-making of master in management students is at the center of institutional management and marketing efforts on its mission to attract prospective students in a less costly, more efficient manner. The means-end chain approach, applied to the choice of a Portuguese institution in which to pursue a master in management, points to the position in rankings and to the non-specificity of the program as the most important attributes. Additionally, results show that students with distinct demographic, household, or background characteristics choose in significantly different manners.

Launching platforms for user-generated content

Field lab: Entrepreneurial and innovative ventures

Bloodstream infection in patients with end-stage renal disease in a teaching hospital in central-western Brazil

Introduction Vascular access in patients undergoing hemodialysis is considered a critical determinant of bloodstream infection (BSI) and is associated with high morbidity and mortality. The purpose of this study was to investigate the occurrence of BSI in patients with end-stage renal disease using central venous catheters for hemodialysis. Methods A cohort study was conducted in a public teaching hospital in central-western Brazil from April 2010 to December 2011. For every patient, we noted the presence of hyperemia/exudation upon catheter insertion, as well as fever, shivering, and chills during hemodialysis. Results Fifty-nine patients were evaluated. Thirty-five (59.3%) patients started dialysis due to urgency, 37 (62.7%) had BSI, and 12 (20%) died. Hyperemia at the catheter insertion site (64.9%) was a significant clinical manifestation in patients with BSI. Statistical analysis revealed 1.7 times more cases of BSI in patients with hypoalbuminemia compared with patients with normal albumin levels. The principal infective agents identified in blood cultures and catheter-tip cultures were Staphylococcus species (24 cases), non-fermentative Gram-negative bacilli (7 cases of Stenotrophomonas maltophilia and 5 cases of Chryseobacterium indologenes), and Candida species (6). Among the Staphylococci identified, 77.7% were methicillin-resistant, coagulase-negative Staphylococci. Of the bacteria isolated, the most resistant were Chryseobacterium indologenes and Acinetobacter baumannii. Conclusions Blood culture was demonstrated to be an important diagnostic test and identified over 50% of positive BSI cases. The high frequency of BSI and the isolation of multiresistant bacteria were disturbing findings. Staphylococcus aureus was the most frequently isolated microorganism, although Gram-negative bacteria predominated overall. These results highlight the importance of infection prevention and control measures in dialysis units.

Impact of mobile app user acquisition on managerial decisions: Evidence from empirical experiment

In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.