Advanced side information creation techniques and framework for Wyner-Ziv video coding

Recently, several distributed video coding (DVC) solutions based on the distributed source coding (DSC) paradigm have appeared in the literature. Wyner-Ziv (WZ) video coding, a particular case of DVC where side information is made available at the decoder, enable to achieve a flexible distribution of the computational complexity between the encoder and decoder, promising to fulfill novel requirements from applications such as video surveillance, sensor networks and mobile camera phones. The quality of the side information at the decoder has a critical role in determining the WZ video coding rate-distortion (RD) performance, notably to raise it to a level as close as possible to the RD performance of standard predictive video coding schemes. Towards this target, efficient motion search algorithms for powerful frame interpolation are much needed at the decoder. In this paper, the RD performance of a Wyner-Ziv video codec is improved by using novel, advanced motion compensated frame interpolation techniques to generate the side information. The development of these type of side information estimators is a difficult problem in WZ video coding, especially because the decoder only has available some reference, decoded frames. Based on the regularization of the motion field, novel side information creation techniques are proposed in this paper along with a new frame interpolation framework able to generate higher quality side information at the decoder. To illustrate the RD performance improvements, this novel side information creation framework has been integrated in a transform domain turbo coding based Wyner-Ziv video codec. Experimental results show that the novel side information creation solution leads to better RD performance than available state-of-the-art side information estimators, with improvements up to 2 dB: moreover, it allows outperforming H.264/AVC Intra by up to 3 dB with a lower encoding complexity.

Lightweight user modeling – a case study

In the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process.

Consistent state software transactional memory

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática

Elaboração de propostas para Concursos Públicos e análise comparativa entre custos da proposta e custos de obra

Mestrado em Engenharia Civil – Ramo Tecnologia e Gestão das Construções

Melhoria de desempenho da área de pintura numa empresa de mobiliário

Dissertação de mestrado integrado em Engenharia e Gestão Industrial

Utilização de computação de elevado desempenho para a simulação de problemas de hidrodinâmica costeira

Dissertação de mestrado integrado em Engenharia Civil

Immune cell changes in swimmers : response to acute exercise and training

O treino competitivo envolve exercício intenso e prolongado, capaz de modular o número e actividade das células imunitárias. Quando demasiado exigente poderá induzir fadiga e aumentar a susceptibilidade a doenças. Esta dissertação apresenta três estudos desenvolvidos no âmbito da Imunologia do Exercício, considerando a análise da resposta celular imunitária sistémica aguda e crónica ao exercício aplicada em situações reais do treino competitivo de natação, controlando factores passíveis de influenciar esta resposta. Pretendeu-se avaliar a resposta imunitária a uma sessão de treino prolongada e intensa, durante as 24h de recuperação (Estudo 1) e a uma época de treino com sete meses (Estudo 2), e estudar a influência de um macrociclo de treino de quatro meses sobre a resposta imunitária à mesma sessão de treino e período de recuperação (Estudo 3), controlando sexo, fases do ciclo menstrual, maturidade, escalão, especialidade, performance, cargas de treino e sintomas respiratórios superiores (URS). A sessão de treino induziu a diminuição da vigilância imunitária adquirida imediatamente e, pelo menos nas 2h seguintes. Juvenis e seniores recuperaram totalmente 24h depois, mas não os juniores, reforçando a ideia da existência de uma janela aberta para a infecção após exercícios prolongados e intensos e sugerindo uma recuperação menos eficiente para os juniores. No período de treino mais intenso da época observou-se uma imunodepressão e maior prevalência de URS. No final da época, a imunidade inata diminuiu aparentando maior sensibilidade aos efeitos cumulativos da carga de treino, enquanto a imunidade adquirida parece ter recuperado após o taper. O macrociclo de treino atenuou a resposta imunitária à sessão de treino e aumentou o período de janela aberta às infecções (efeitos mais acentuados nos adolescentes). Os resultados evidenciam a importância de controlar alterações imunitárias durante a época competitiva, especialmente em períodos de treino intenso e quando se realizam sessões de treino intensas consecutivas com recuperações inferiores a 24h.

Sintonización dinámica de aplicaciones MPI

En la actualidad, la computación de altas prestaciones está siendo utilizada en multitud de campos científicos donde los distintos problemas estudiados se resuelven mediante aplicaciones paralelas/distribuidas. Estas aplicaciones requieren gran capacidad de cómputo, bien sea por la complejidad de los problemas o por la necesidad de solventar situaciones en tiempo real. Por lo tanto se debe aprovechar los recursos y altas capacidades computacionales de los sistemas paralelos en los que se ejecutan estas aplicaciones con el fin de obtener un buen rendimiento. Sin embargo, lograr este rendimiento en una aplicación ejecutándose en un sistema es una dura tarea que requiere un alto grado de experiencia, especialmente cuando se trata de aplicaciones que presentan un comportamiento dinámico o cuando se usan sistemas heterogéneos. En estos casos actualmente se plantea realizar una mejora de rendimiento automática y dinámica de las aplicaciones como mejor enfoque para el análisis del rendimiento. El presente trabajo de investigación se sitúa dentro de este ámbito de estudio y su objetivo principal es sintonizar dinámicamente mediante MATE (Monitoring, Analysis and Tuning Environment) una aplicación MPI empleada en computación de altas prestaciones que siga un paradigma Master/Worker. Las técnicas de sintonización integradas en MATE han sido desarrolladas a partir del estudio de un modelo de rendimiento que refleja los cuellos de botella propios de aplicaciones situadas bajo un paradigma Master/Worker: balanceo de carga y número de workers. La ejecución de la aplicación elegida bajo el control dinámico de MATE y de la estrategia de sintonización implementada ha permitido observar la adaptación del comportamiento de dicha aplicación a las condiciones actuales del sistema donde se ejecuta, obteniendo así una mejora de su rendimiento.

Innovation and new business through mutually beneficial collaboration and proactive procurement

ABSTRACT This dissertation focuses on new technology commercialization, innovation and new business development. Industry-based novel technology may achieve commercialization through its transfer to a large research laboratory acting as a lead user and technical partner, and providing the new technology with complementary assets and meaningful initial use in social practice. The research lab benefits from the new technology and innovation through major performance improvements and cost savings. Such mutually beneficial collaboration between the lab and the firm does not require any additional administrative efforts or funds from the lab, yet requires openness to technologies and partner companies that may not be previously known to the lab- Labs achieve the benefits by applying a proactive procurement model that promotes active pre-tender search of new technologies and pre-tender testing and piloting of these technological options. The collaboration works best when based on the development needs of both parties. This means that first of all the lab has significant engineering activity with well-defined technological needs and second, that the firm has advanced prototype technology yet needs further testing, piloting and the initial market and references to achieve the market breakthrough. The empirical evidence of the dissertation is based on a longitudinal multiple-case study with the European Laboratory for Particle Physics. The key theoretical contribution of this study is that large research labs, including basic research, play an important role in product and business development toward the end, rather than front-end, of the innovation process. This also implies that product-orientation and business-orientation can contribute to basic re-search. The study provides practical managerial and policy guidelines on how to initiate and manage mutually beneficial lab-industry collaboration and proactive procurement.

Advancing hypoxic training in team sports: from intermittent hypoxic training to repeated sprint training in hypoxia.

Over the past two decades, intermittent hypoxic training (IHT), that is, a method where athletes live at or near sea level but train under hypoxic conditions, has gained unprecedented popularity. By adding the stress of hypoxia during 'aerobic' or 'anaerobic' interval training, it is believed that IHT would potentiate greater performance improvements compared to similar training at sea level. A thorough analysis of studies including IHT, however, leads to strikingly poor benefits for sea-level performance improvement, compared to the same training method performed in normoxia. Despite the positive molecular adaptations observed after various IHT modalities, the characteristics of optimal training stimulus in hypoxia are still unclear and their functional translation in terms of whole-body performance enhancement is minimal. To overcome some of the inherent limitations of IHT (lower training stimulus due to hypoxia), recent studies have successfully investigated a new training method based on the repetition of short (<30 s) 'all-out' sprints with incomplete recoveries in hypoxia, the so-called repeated sprint training in hypoxia (RSH). The aims of the present review are therefore threefold: first, to summarise the main mechanisms for interval training and repeated sprint training in normoxia. Second, to critically analyse the results of the studies involving high-intensity exercises performed in hypoxia for sea-level performance enhancement by differentiating IHT and RSH. Third, to discuss the potential mechanisms underpinning the effectiveness of those methods, and their inherent limitations, along with the new research avenues surrounding this topic.

Making Predictions with Textual Contents

Forecasting real-world quantities with basis on information from textual descriptions has recently attracted significant interest as a research problem, although previous studies have focused on applications involving only the English language. This document presents an experimental study on the subject of making predictions with textual contents written in Portuguese, using documents from three distinct domains. I specifically report on experiments using different types of regression models, using state-of-the-art feature weighting schemes, and using features derived from cluster-based word representations. Through controlled experiments, I have shown that prediction models using the textual information achieve better results than simple baselines such as taking the average value over the training data, and that richer document representations (i.e., using Brown clusters and the Delta- TF-IDF feature weighting scheme) result in slight performance improvements.

Supply chain management as a competitive advantage in the Spanish grocery sector

Adversarial relationships have long dominated business relationships,but Supply Chain Management (SCM) entails a new perspective. SCM requiresa movement away from arms-length relationships toward partnership stylerelations. SCM involves integration, co-ordination and collaborationacross organisations and throughout the supply chain. It means that SCMrequires internal (intraorganisational) and external (interorganisational)integration. This paper analyses the relationship between internal andexternal integration processes, their effect on firms performance andtheir contribution to the achievement of a competitive advantage.Performance improvements are analysed through costs, stock out and leadtime reductions. And, the achievement of a better competitive positionis measured by comparing the firm s performance with its competitors performance. To analyse this, an empirical study has been conducted inthe Spanish grocery sector.

Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections.

Recent findings in neuroscience suggest that adult brain structure changes in response to environmental alterations and skill learning. Whereas much is known about structural changes after intensive practice for several months, little is known about the effects of single practice sessions on macroscopic brain structure and about progressive (dynamic) morphological alterations relative to improved task proficiency during learning for several weeks. Using T1-weighted and diffusion tensor imaging in humans, we demonstrate significant gray matter volume increases in frontal and parietal brain areas following only two sessions of practice in a complex whole-body balancing task. Gray matter volume increase in the prefrontal cortex correlated positively with subject's performance improvements during a 6 week learning period. Furthermore, we found that microstructural changes of fractional anisotropy in corresponding white matter regions followed the same temporal dynamic in relation to task performance. The results make clear how marginal alterations in our ever changing environment affect adult brain structure and elucidate the interrelated reorganization in cortical areas and associated fiber connections in correlation with improvements in task performance.

Structural brain plasticity in Parkinson's disease induced by balance training.

We investigated morphometric brain changes in patients with Parkinson's disease (PD) that are associated with balance training. A total of 20 patients and 16 healthy matched controls learned a balance task over a period of 6 weeks. Balance testing and structural magnetic resonance imaging were performed before and after 2, 4, and 6 training weeks. Balance performance was re-evaluated after ∼20 months. Balance training resulted in performance improvements in both groups. Voxel-based morphometry revealed learning-dependent gray matter changes in the left hippocampus in healthy controls. In PD patients, performance improvements were correlated with gray matter changes in the right anterior precuneus, left inferior parietal cortex, left ventral premotor cortex, bilateral anterior cingulate cortex, and left middle temporal gyrus. Furthermore, a TIME × GROUP interaction analysis revealed time-dependent gray matter changes in the right cerebellum. Our results highlight training-induced balance improvements in PD patients that may be associated with specific patterns of structural brain plasticity. In summary, we provide novel evidence for the capacity of the human brain to undergo learning-related structural plasticity even in a pathophysiological disease state such as in PD.

Innovations in hypoxic training

Athletes seem compelled to include some forms of altitude training in their preparation expecting additional performance gains compared to equivalent training at sea-level. For the general population, altitude training often only consists in spending weeks at altitude to enhance red blood cell production, hemoglobin mass and thus oxygen delivery to the muscles. Over the past two decades, intermittent hypoxic training (IHT), that is, a method where athletes live at or near sea-level but train in hypobaric hypoxia (HH, real altitude) or normobaric hypoxia (NH, simulated altitude) was shown to induce exclusive adaptations directly at the muscular level that may support performance improvements. Our work first demonstrated significant differences between exposure and exercise in HH vs. NH that may help disentangling hypoxia and hypobaria for athletes or mountaineers who use NH to prepare for altitude competitions or expeditions. Second, we produced a comprehensive review of the strikingly poor and controversial benefits of IHT for performance enhancement in team or racket sports. Using evidence of peripheral muscular adaptations with the recruitment of fast-twitch fibers playing a major role, we then developed and assessed the potential of a new training method in hypoxia based on the repetitions of "all-out" sprints interspersed with incomplete recovery periods, the so called "repeated sprint training in hypoxia" (RSH). We have consequently shown RSH to delay fatigue when sprints with incomplete recoveries are repeated until exhaustion both in cycling and cross-country ski double poling. We definitely outlined RSH as a promising training strategy and proposed new studies to judge the efficacy of RSH in team sports and determine the specific mechanisms that may enhance team game results. In conclusion, our work allowed updating the panorama over the contemporary hypoxic training possibilities. It provides an overview of the current scientific knowledge about intermittent hypoxic training and repeated sprint training in hypoxia (RSH). This will benefit athletes and teams in intermittent sports looking to include a hypoxic stimulus to their training to gain a specific competitive edge.