Neural mechanisms of stimulus generalization in auditory fear conditioning

Dissertation presented to obtain the Ph.D degree in Neuroscience Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa

A framework for scientific computing with GPUs

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Algorithm for the Parkinson’s disease behavioural models characterization using a biosensor

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Distributed replicated macro-components

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Multiresponsive supramolecular systems for information processing at the molecular level

Dissertação para obtenção do Grau de Doutor em Química Sustentável

Web Processing Services for Forestry and Environmental Applications

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

Petri net based development of globally-asynchronous locally-synchronous distributed embedded systems

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

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.

Ionic liquids as catalysts of lignocellulosic biomass processing

The present work is devoted to study the pre-treatment of lignocellulosic biomass, especially wheat straw, by the application of the acidic ionic liquid (IL) such as 1-butyl-3-methylimidazolium hydrogen sulphate. The ability of this IL to hydrolysis and conversion of biomass was scrutinised. The pre-treatment with hydrogen sulphate-based IL allowed to obtain a liquor rich in hemicellulosic sugars, furans and organic acids, and a solid fraction mainly constituted by cellulose and lignin. Quantitative and qualitative analyses of the produced liquors were made by capillary electrophoresis and high-performance liquid chromatography. Pre-treatment conditions were set to produce xylose or furfural. Specific range of temperatures from 70 to 175 °C and residence times from 20.0 to 163.3 min were studied by fixing parameters such as biomass/IL ratio (10 % (w/w)) and water content (1.25 % (w/w)) in the pre-treatment process. Statistical modelling was applied to maximise the xylose and furfural concentrations. For the purpose of reaction condition comparison the severity factor for studied ionic liquid was proposed and applied in this work. Optimum conditions for xylose production were identified to be at 125 °C and 82.1 min, at which 16.7 % (w/w) xylose yield was attained. Furfural was preferably formed at higher pre-treatment temperatures and longer reaction time (161 °C and 104.5 min) reaching 30.7 % (w/w) maximum yield. The influence of water content on the optimum xylose formation was also studied. Pre-treatments with 5 and 10 % (w/w) water content were performed and an increase of 100 % and 140 % of xylose yield was observed, respectively, while the conversion into furfural maintained unchanged.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.

O impacto da Rede Nacional de Cuidados Continuados Integrados (RNCCI) na demora média hospitalar

RESUMO - Enquadramento: O envelhecimento dos indivíduos nos países mais desenvolvidos e o aumento da incidência de doenças crónicas associadas a estados de dependência e incapacidade têm contribuído para o desenho e implementação de novas políticas de saúde e sociais. Assiste-se, por isso, atualmente, a uma mudança no paradigma da procura de cuidados de saúde, sendo crescente a procura de cuidados de longa duração ou cuidados continuados. O desenvolvimento e implementação de novos modelos de prestação de cuidados de saúde pretendem dar resposta à crescente procura de cuidados continuados, bem como promover a eficiência dos serviços e a disponibilização de camas nos hospitais, retirando dos serviços de agudos as pessoas que não necessitam de cuidados hospitalares, mas sim de cuidados continuados. Neste contexto foi criada em Portugal a Rede Nacional de Cuidados Continuados Integrados (RNCCI), como resposta ao aumento do número de pessoas em situação de dependência, e que necessitam tanto de cuidados de saúde como sociais, e à necessidade de reorganizar e promover a eficiência dos serviços de internamento hospitalar. Objetivo: Determinar o impacto da RNCCI na demora média hospitalar, no período de tempo compreendido entre 1 de Janeiro de 2009 e 31 de Junho de 2011. Métodos: O estudo realizado, com base na revisão da literatura, descreve os principais aspectos referentes ao envelhecimento dos indivíduos e aos cuidados continuados. Foram descritos diferentes modelos e programas organizacionais de prestação de cuidados continuados e o seu impacto na demora média hospitalar. Foi determinada a população em estudo no período de tempo compreendido entre 1 de Janeiro de 2009 e 31 de Junho de 2011. A população foi caraterizada de acordo com o ano e distribuída por dez trimestres para melhor tratamento estatístico e leitura dos dados. Foi considerado o sexo e a faixa etária dos indivíduos sinalizados, de acordo com o GDH de internamento hospitalar e respetiva sub-região de saúde. Foi comparada por trimestre a demora média dos internamentos hospitalares e a demora média hospitalar dos episódios referenciados a nível nacional e ao nível das sub-regiões de saúde. Foram caraterizados os GDH que representam 50% das sinalizações. Foram analisados, por semestre, os três GDH com maior número de referenciações para a RNCCI de acordo com as diferentes regiões de saúde, comparando as respetivas demoras médias nacionais e regionais. Resultados: No periodo de tempo em análise foi verificado que a população com maior utilização dos serviços da RNCCI encontra-se na faixa etária entre 65 ou mais anos, com 79,4% do total de sinalizações efetuadas. Tendo 50% das sinalizações sido referentes aos GDH 14, GDH 211, GDH 533, GDH 818, GDH 810 e GDH 209. Foi apurada uma demora média nacional compreendida entre os 7,3 dias e os 7,7 dias, comparativamente a uma demora média dos episódios referenciados para a RNCCI compreendida entre os 21,9 dias e os 33 dias, para o mesmo período de tempo. Em termos regionais a região de LVT apresenta os valores de demora média mais elevados, com um intervalo entre os 28,8 dias e os 50,3 dias de demora média. Para o GDH 14 foi observada uma demora média dos episódios referenciados compreendida entre os 14,4 dias e os 26,7 dias. No mesmo período de tempo o a demora média nacional para o mesmo GDH situava-se entre os 9,8 dias e os 10,2 dias. Para o GDH 211 foi observada uma demora média dos episódios referenciados compreendida entre os 17,2 dias e os 28,9 dias. Comparativamente a demora média nacional para o mesmo GDH situava-se entre os 12,5 dias e os 13,5 dias. Para o GDH 533 foi observada uma demora média dos episódios referenciados compreendida entre os 23,3 dias e os 52,7 dias. Comparativamente, no mesmo período de tempo, a demora média nacional para o mesmo GDH situava-se entre os 18,7 dias e os 19,7 dias. Conclusões: Foi possível concluir, quanto ao impacto da RNCCI na demora média hospitalar, que a demora média dos episódios referenciados para a Rede é superior à demora média nacional em todo o período de tempo em análise. Relativamente à demora média dos GDH com maior número de referenciações, os GDH 14, 211 e 533, verifica-se que todos eles apresentam uma demora média de referenciação superior à demora média nacional, e demora média regional para o mesmo GDH, em todo o período de tempo do estudo. Ou seja, foi possível verificar que a demora média para indivíduos com o mesmo GDH é superior nos que são referenciados para a RNCCI.

Mobile image processing to support educational geometry games

The mobile IT era is here, it is still growing and expanding at a steady rate and, most of all, it is entertaining. Mobile devices are used for entertainment, whether social through the so-called social networks, or private through web browsing, video watching or gaming. Youngsters make heavy use of these devices, and even small children show impressive adaptability and skill. However not much attention is directed towards education, especially in the case of young children. Too much time is usually spent in games which only purpose is to keep children entertained, time that could be put to better use such as developing elementary geometric notions. Taking advantage of this pocket computer scenario, it is proposed an application geared towards small children in the 6 – 9 age group that allows them to consolidate knowledge regarding geometric shapes, forming a stepping stone that leads to some fundamental mathematical knowledge to be exercised later on. To achieve this goal, the application will detect simple geometric shapes like squares, circles and triangles using the device’s camera. The novelty of this application will be a core real-time detection system designed and developed from the ground up for mobile devices, taking into account their characteristic limitations such as reduced processing power, memory and battery. User feedback was be gathered, aggregated and studied to assess the educational factor of the application.

Design, implementation, and performance of a distributed and scalable sensor system for critical distance measurements in the CMS detector at LHC

The “CMS Safety Closing Sensors System” (SCSS, or CSS for brevity) is a remote monitoring system design to control safety clearance and tight mechanical movements of parts of the CMS detector, especially during CMS assembly phases. We present the different systems that makes SCSS: its sensor technologies, the readout system, the data acquisition and control software. We also report on calibration and installation details, which determine the resolution and limits of the system. We present as well our experience from the operation of the system and the analysis of the data collected since 2008. Special emphasis is given to study positioning reproducibility during detector assembly and understanding how the magnetic fields influence the detector structure.

Visual and verbal processing effects on human memory

In this study in the field of Consumer Behavior, brand name memory of consumers with regard to verbal and visual incongruent and congruent information such as memory structure of brands was tested. Hence, four experimental groups with different constellations of verbal and visual congruity and incongruity were created to compare their brand name memory performance. The experiment was conducted in several classes with 128 students, each group with 32 participants. It was found that brands, which are presented in a congruent or moderately incongruent relation to their brand schema, result in a better brand recall than their incongruent counterparts. A difference between visual congruity and moderately incongruity could not be confirmed. In contrast to visual incongruent information, verbal incongruent information does not result in a worse brand recall performance.