Sensitivity correction of images obtained with the prototype Clear-PEM in pre-clinical environment

Dissertation presented at Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa to obtain a Master Degree in Biomedical Engineering

Estimating data divergence in cloud computing storage systems

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Personalization platform for multimodal ubiquitous computing applications

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Negotiation environment to support enterprise interoperability sustainability

Dissertation to obtain the Master degree in Electrical Engineering and Computer Science

Monitoring antibiotics in the environment. Study of Quinoxaline derivatives bioactivity

Dissertação para obtenção do Grau de Doutor em Química Sustentável

Analysis and simulation of social unrest in Europe: towards understanding social unrest in Europe

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

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.

Documenting InStory – Mobile Storytelling in a Cultural Heritage Environment

This paper describes the process and problems that had to be faced during the elaboration of a digital interactive narrative for the Instory project (http://img.di.fct.unl.pt/InStory/) implanted in «Quinta da Regaleira», Sintra, Portugal, and classified as World Heritage by Unesco. It also explores some of the practical and theoretical issues in what regards the literary terminology and strategies involved.

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Caracterização dos incidentes na administração de medicamentos num serviço de Medicina Interna

RESUMO - O problema do erro de medicação tem vindo a adquirir uma importância e um interesse crescentes nos últimos anos. As consequências directas no doente que condicionam frequentemente o prolongamento do internamento, a necessidade de utilização adicional de recursos e a diminuição de satisfação por parte dos doentes, são alguns dos aspectos que importa analisar no sentido de se aumentar a segurança do doente. No circuito do medicamento em meio hospitalar estão envolvidos diversos profissionais, estando o enfermeiro no final da cadeia quando administra a medicação ao doente. Na bibliografia internacional, são referidas incidências elevadas de eventos adversos relacionados com o medicamento. Em Portugal, não existem estudos disponíveis que nos permitam conhecer, nem o tipo de incidentes, nem a dimensão do problema do erro de medicação. Efectuamos um estudo descritivo, prospectivo, exploratório, utilizando a técnica de observação não participante, da administração de medicamentos. Os objectivos são, por um lado, determinar a frequência de incidentes na administração de medicação num Serviço de Medicina Interna e, por outro, caracterizar o tipo de incidentes na administração da medicação e identificar as suas possíveis causas. A população em estudo foi constituída pelos enfermeiros que administraram medicamentos aos doentes internados no Serviço de Medicina Interna seleccionado, durante os meses de junho a agosto de 2012, sendo observadas 1521 administrações. Foi utilizada uma grelha de observação, que incluiu os seguintes elementos: doente certo; medicamento certo; dose certa; hora certa; via certa; técnica de administração correcta (assépsia); tempo de infusão; monitorização correcta. Constatou-se que em 43% das doses administradas apresentavam pelo menos um erro, num total de 764 erros. Não foi observado nenhum erro de doente, de medicamento, de dose extra, de via, de forma farmacêutica, nem a administração de medicamento não prescrito. Detectaram-se 0,19% de erros na preparação, 0,72% de erros de dose, 1,7% erros de omissão, 1,97% de erros de administração, 13,52% de erros de monitorização, 28,73% de erros de v horário. O tempo de infusão da terapêutica parentérica não foi cumprida em 27,69% das oportunidades, tendo sido sempre administrado em tempo inferior ao preconizado. Não encontramos relação entre as interrupções durante a administração de terapêutica e os erros. Pelo contrário constatou-se haver relação entre o número de doses com erro e o turno em que ocorreram, sendo mais frequentes no turno da noite. Constatamos também que aos fins de semana os erros eram mais frequentes e o risco da ocorrência de um erro na administração de medicação aumenta 1,5 vezes quando o número de enfermeiros é insuficiente.

Durability to marine environment of innovative products for consolidation and chromatic reintegration of historical renders

9th International Masonry Conference 2014, 7-9 July, Universidade do Minho, Guimarães

Haptic robot-environment interaction for self-supervised learning in ground mobility

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

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.

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.