Cooperative positioning for heterogeneous wireless systems

Future emerging market trends head towards positioning based services placing a new perspective on the way we obtain and exploit positioning information. On one hand, innovations in information technology and wireless communication systems enabled the development of numerous location based applications such as vehicle navigation and tracking, sensor networks applications, home automation, asset management, security and context aware location services. On the other hand, wireless networks themselves may bene t from localization information to improve the performances of di erent network layers. Location based routing, synchronization, interference cancellation are prime examples of applications where location information can be useful. Typical positioning solutions rely on measurements and exploitation of distance dependent signal metrics, such as the received signal strength, time of arrival or angle of arrival. They are cheaper and easier to implement than the dedicated positioning systems based on ngerprinting, but at the cost of accuracy. Therefore intelligent localization algorithms and signal processing techniques have to be applied to mitigate the lack of accuracy in distance estimates. Cooperation between nodes is used in cases where conventional positioning techniques do not perform well due to lack of existing infrastructure, or obstructed indoor environment. The objective is to concentrate on hybrid architecture where some nodes have points of attachment to an infrastructure, and simultaneously are interconnected via short-range ad hoc links. The availability of more capable handsets enables more innovative scenarios that take advantage of multiple radio access networks as well as peer-to-peer links for positioning. Link selection is used to optimize the tradeo between the power consumption of participating nodes and the quality of target localization. The Geometric Dilution of Precision and the Cramer-Rao Lower Bound can be used as criteria for choosing the appropriate set of anchor nodes and corresponding measurements before attempting location estimation itself. This work analyzes the existing solutions for node selection in order to improve localization performance, and proposes a novel method based on utility functions. The proposed method is then extended to mobile and heterogeneous environments. Simulations have been carried out, as well as evaluation with real measurement data. In addition, some speci c cases have been considered, such as localization in ill-conditioned scenarios and the use of negative information. The proposed approaches have shown to enhance estimation accuracy, whilst signi cantly reducing complexity, power consumption and signalling overhead.

Optimal alarms systems and its application to financial time series

This thesis focuses on the application of optimal alarm systems to non linear time series models. The most common classes of models in the analysis of real-valued and integer-valued time series are described. The construction of optimal alarm systems is covered and its applications explored. Considering models with conditional heteroscedasticity, particular attention is given to the Fractionally Integrated Asymmetric Power ARCH, FIAPARCH(p; d; q) model and an optimal alarm system is implemented, following both classical and Bayesian methodologies. Taking into consideration the particular characteristics of the APARCH(p; q) representation for financial time series, the introduction of a possible counterpart for modelling time series of counts is proposed: the INteger-valued Asymmetric Power ARCH, INAPARCH(p; q). The probabilistic properties of the INAPARCH(1; 1) model are comprehensively studied, the conditional maximum likelihood (ML) estimation method is applied and the asymptotic properties of the conditional ML estimator are obtained. The final part of the work consists on the implementation of an optimal alarm system to the INAPARCH(1; 1) model. An application is presented to real data series.

Ecology and conservation of felids in the Brazilian pantanal

Habitat conversion and environmental degradation have reached alarming levels in the Pantanal, endangering all its biodiversity. This scenario is complicated by the fact that the biome relies on only a few protected areas, which combined do not exceed 10% of the territory. Felids, as predators, play a vital role in the maintenance of this ecosystem, but require large areas, have low population densities and, typically, are very sensitive to environmental disturbances. Amolar Mountain Ridge is considered an area of extreme importance and high priority for conservation within the biome. There are four species of felids in this region: the jaguar (Panthera onca), the puma (Puma concolor), the ocelot (Leopardus pardalis), and jaguarundi (Puma yagouaroundi). However, little is known about the ecology of these species in this region or the magnitude of interaction between the communities living around the protected areas and the animals. The goal of this study was to increase our knowledge about these felids and understand how people interact with them in order to contribute to their conservation in the network of parks within Amolar. Camera trapping surveys were carried out in two areas of the network, covering approximately 83,000 hectares, in order to identify the species of mammals occurring in the region, those that may be potential prey for the felids, and to obtain basic ecological data about both felids and prey. In addition, we conducted surveys in three riverside schools in order to assess the knowledge, perceptions and attitudes of schoolchildren regarding the four focal felids, and surveys among the adult population to assess their perceptions and attitudes towards the jaguar. We recorded a total of 33 species of mammals from both study areas. The large cats were cathemeral, reflecting the temporal activity of larger prey, whereas the ocelot was nocturnal, mirroring the activity of smaller prey. Jaguar occupancy was influenced by prey abundance, while puma occupancy was influenced by patch density in drier dense forest. Jaguars and pumas may be competitors over temporal and spatial scales, while no resource overlap was found for ocelots. Overall, both adults and children tended to have negative perceptions about the cats, which were related to the fear of being attacked. To increase awareness about the species and to maximize the effectiveness of protective measures in the network of reserves, it is recommended to develop and implement an Environmental Educational Program in the medium- to long-term in order to minimize the fear of these felids and to counsel locals on the role of felids in the maintenance of the Pantanal’s biodiversity.

Perception and software architecture for mobile robotics

When developing software for autonomous mobile robots, one has to inevitably tackle some kind of perception. Moreover, when dealing with agents that possess some level of reasoning for executing their actions, there is the need to model the environment and the robot internal state in a way that it represents the scenario in which the robot operates. Inserted in the ATRI group, part of the IEETA research unit at Aveiro University, this work uses two of the projects of the group as test bed, particularly in the scenario of robotic soccer with real robots. With the main objective of developing algorithms for sensor and information fusion that could be used e ectively on these teams, several state of the art approaches were studied, implemented and adapted to each of the robot types. Within the MSL RoboCup team CAMBADA, the main focus was the perception of ball and obstacles, with the creation of models capable of providing extended information so that the reasoning of the robot can be ever more e ective. To achieve it, several methodologies were analyzed, implemented, compared and improved. Concerning the ball, an analysis of ltering methodologies for stabilization of its position and estimation of its velocity was performed. Also, with the goal keeper in mind, work has been done to provide it with information of aerial balls. As for obstacles, a new de nition of the way they are perceived by the vision and the type of information provided was created, as well as a methodology for identifying which of the obstacles are team mates. Also, a tracking algorithm was developed, which ultimately assigned each of the obstacles a unique identi er. Associated with the improvement of the obstacles perception, a new algorithm of estimating reactive obstacle avoidance was created. In the context of the SPL RoboCup team Portuguese Team, besides the inevitable adaptation of many of the algorithms already developed for sensor and information fusion and considering that it was recently created, the objective was to create a sustainable software architecture that could be the base for future modular development. The software architecture created is based on a series of di erent processes and the means of communication among them. All processes were created or adapted for the new architecture and a base set of roles and behaviors was de ned during this work to achieve a base functional framework. In terms of perception, the main focus was to de ne a projection model and camera pose extraction that could provide information in metric coordinates. The second main objective was to adapt the CAMBADA localization algorithm to work on the NAO robots, considering all the limitations it presents when comparing to the MSL team, especially in terms of computational resources. A set of support tools were developed or improved in order to support the test and development in both teams. In general, the work developed during this thesis improved the performance of the teams during play and also the e ectiveness of the developers team when in development and test phases.

Metais em plantas e algas : acumulação e potencial aplicação em processos de remediação

The present work reports the study of the bioaccumulation of potentially toxic elements (cadmium, lead and mercury) by marine macroalgae (Ulva lactuca, Fucus vesiculosus and Gracilaria gracilis), abundant in the coast and estuarine systems worldwide. These organisms proved to be capable of withstanding moderate multi-metallic contamination (environmentally relevant concentrations), incorporating high amounts of metal in their tissues. The high removal percentages achieved, in particular for mercury (99%), demonstrate the potential of these algae as a basis for a new biotechnological treatment of saline waters contaminated with metals (more efficient, cost-effective and environmentally friendly than conventional methods). U. lactuca was considered the most promising due to the better performance presented. The comparison between the bioaccumulation and biosorption processes suggested that in some cases the use of the living organism will have advantages over the application of biomass, due to the simplicity of the overall process, and the lower residual concentration of metal achieved in the solution (especially for Cd). The transfer and accumulation of Hg by terrestrial plants (Brassica juncea and Lolium perenne) in agricultural fields near a contaminated industrial area was also studied. Despite the low bioaccumulation factors found (<1), there were high Hg content in plants (up to 84 mg kg-1 in roots and up 6.9 mg kg-1 in shoots, dry weight). Daily intake estimates for grazing animals (cows and sheep) pointed to the potential risk to human health derived from consumption of their meat. The results highlighted the important role that plants and algae may have in protection, risk assessment and remediation of environmental systems contaminated with metals.

Impact of exercise training on cancer-induced cardiac dysfunction

Cachexia is a complex syndrome characterized by severe weight loss frequently observed in cancer patients and associated with poor prognosis. Cancer cachexia is also related to modifications in cardiac muscle structure and metabolism leading to cardiac dysfunction. In order to better understand the cardiac remodeling induced by bladder cancer and the impact of exercise training after diagnosis on its regulation, we used an animal model of bladder cancer induced by exposition to N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN) in the drinking water. Healthy animals and previously BBN exposed animals were submitted to a training program in a treadmill at a speed of 20m/min, 60 min/day, 5 days/week during 13 weeks. At the end of the protocol, animals exposed to BBN presented a significant decrease of body weight, in comparison with control groups, supporting the presence of cancer cachexia. Morphological analysis of the cardiac muscle sections revealed the presence of fibrosis and a significant decrease of cardiomyocyte’s cross-sectional area, suggesting the occurrence of cardiac dysfunction associated with bladder cancer. These modifications were accompanied by heart metabolic remodeling characterized by a decreased fatty acid oxidation given by diminished levels of ETFDH and of complex II subunit  from the respiratory chain. Exercise training promoted an increment of connexin 43, a protein involved in cardioprotection, and of c-kit, a protein present in cardiac stem cells. These results suggest an improved heart regenerative capacity induced by exercise training. In conclusion, endurance training seems an attractive non-pharmacological therapeutic option for the management of cardiac dysfunction in cancer cachexia.