Distribuição de conteúdos em redes veiculares usando mecanismos de comunicação tolerantes ao atraso

The last couple of decades have been the stage for the introduction of new telecommunication networks. It is expected that in the future all types of vehicles, such as cars, buses and trucks have the ability to intercommunicate and form a vehicular network. Vehicular networks display particularities when compared to other networks due to their continuous node mobility and their wide geographical dispersion, leading to a permanent network fragmentation. Therefore, the main challenges that this type of network entails relate to the intermittent connectivity and the long and variable delay in information delivery. To address the problems related to the intermittent connectivity, a new concept was introduced – Delay Tolerant Network (DTN). This architecture is built on a Store-Carry-and-Forward (SCF) mechanism in order to assure the delivery of information when there is no end-to-end path defined. Vehicular networks support a multiplicity of services, including the transportation of non-urgent information. Therefore, it is possible to conclude that the use of a DTN for the dissemination of non-urgent information is able to surpass the aforementioned challenges. The work developed focused on the use of DTNs for the dissemination of non-urgent information. This information is originated in the network service provider and should be available on mobile network terminals during a limited period of time. In order to do so, four different strategies were deployed: Random, Least Number of Hops First (LNHF), Local Rarest Bundle First (LRBF) e Local Rarest Generation First (LRGF). All of these strategies have a common goal: to disseminate content into the network in the shortest period of time and minimizing network congestion. This work also contemplates the analysis and implementation of techniques that reduce network congestion. The design, implementation and validation of the proposed strategies was divided into three stages. The first stage focused on creating a Matlab emulator for the fast implementation and strategy validation. This stage resulted in the four strategies that were afterwards implemented in the DTNs software Helix – developed in a partnership between Instituto de Telecomunicac¸˜oes (IT) and Veniam R , which are responsible for the largest operating vehicular network worldwide that is located in Oporto city. The strategies were later evaluated on an emulator that was built for the largescale testing of DTN. Both emulators account for vehicular mobility based on information previously collected from the real platform. Finally, the strategy that presented the best overall performance was tested on a real platform – in a lab environment – for concept and operability demonstration. It is possible to conclude that two of the implemented strategies (LRBF and LRGF) can be deployed in the real network and guarantee a significant delivery rate. The LRBF strategy has the best performance in terms of delivery. However, it needs to add a significant overhead to the network in order to work. In the future, tests of scalability should be conducted in a real environment in order to confirm the emulator results. The real implementation of the strategies should be accompanied by the introduction of new types of services for content distribution.

Estudo da participação do receptor P2X7 no desempenho cognitivo de roedores: abordagens farmacológicas e genéticas

A memória é um fenômeno decorrente de um conjunto de processos fisiológicos denominado plasticidade. Várias formas de plasticidade são necessárias no processo de formação da memória e também são responsáveis pelo gerenciamento do comportamento. O fenômeno eletrofisiológico chamado potencialização de longa duração (PLD), cuja ocorrência no hipocampo merece destaque, foi proposto como sendo o mecanismo de plasticidade constitutivo das bases da consolidação da memória nesta região encefálica. A importância da plasticidade na região CA1 do hipocampo se manifesta em diversas formas de aprendizado, como espacial e condicionamento clássico. Os eventos bioquímicos que culminam na plasticidade e formação da memória sofrem influência de diversos sistemas de neurotransmissores e evidências indicam também a participação do sistema purinérgico, provavelmente através dos receptores ionotrópicos P2X. Receptores purinérgicos do subtipo P2X7 (P2X7R), largamente distribuídos no sistema nervoso central (SNC), além de possuírem várias características que os distinguem de outros subtipos de receptores P2X, estão envolvidos na regulação da liberação de neurotransmissores cruciais para a promoção da PLD na região hipocampal e formação da memória. Assim, este trabalho objetivou avaliar a participação dos P2X7R em camundongos geneticamente modificados (KO), que não expressam o receptor P2X7, e ratos através da exposição destes a diferentes tarefas comportamentais, bem como avaliar o efeito do enriquecimento ambiental sobre possíveis déficits mnemônicos resultantes da supressão gênica sobre o receptor P2X7. Os resultados sugerem que os P2X7R participam tanto da memória aversiva como da memória espacial: o bloqueio farmacológico com o antagonista específico de P2X7R A-740003 em diferentes janelas temporais causou prejuízos mnemônicos em ratos submetidos à tarefa do medo condicionado contextual (MCC), enquanto a deleção do P2X7R causou déficits mnemônicos a camundongos nas tarefas do labirinto aquático de Morris e no MCC, indicando prejuízos nas memórias espacial e aversiva, respectivamente. Experimentos com enriquecimento ambiental sugerem que esta forma de estimulação contribui na reversão dos déficits mnemônicos causado pela ausência do P2X7R. Por fim, nenhuma alteração na memória de habituação foi observada em animais com deleção gênica para o P2X7R.

Oxímetro de pulso com comunicação via Bluetooth

Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2015.

Airport ground movement

Worldwide air traffic tends to increase and for many airports it is no longer an op-tion to expand terminals and runways, so airports are trying to maximize their op-erational efficiency. Many airports already operate near their maximal capacity. Peak hours imply operational bottlenecks and cause chained delays across flights impacting passengers, airlines and airports. Therefore there is a need for the opti-mization of the ground movements at the airports. The ground movement prob-lem consists of routing the departing planes from the gate to the runway for take-off, and the arriving planes from the runway to the gate, and to schedule their movements. The main goal is to minimize the time spent by the planes during their ground movements while respecting all the rules established by the Ad-vanced Surface Movement, Guidance and Control Systems of the International Civil Aviation. Each aircraft event (arrival or departing authorization) generates a new environment and therefore a new instance of the Ground Movement Prob-lem. The optimization approach proposed is based on an Iterated Local Search and provides a fast heuristic solution for each real-time event generated instance granting all safety regulations. Preliminary computational results are reported for real data comparing the heuristic solutions with the solutions obtained using a mixed-integer programming approach.

Avalição de desempenho de protocolos de autenticação para redes sem fio heterogêneas

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016.

A eficiência técnica dos portos e terminais públicos e privados brasileiros marítimos no período de 2010 a 2014

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Civil e Ambiental, 2016.

Évaluation de l’impact des services en téléobstétrique du RUIS McGill offerts à une population de femmes inuites avec grossesse à risque élevé habitant sur la côte de la baie d’Hudson au Nunavik

L’accessibilité à des soins de santé pour une population habitant une région éloignée au Québec représente un défi de taille pour le Ministère de la santé et des services sociaux. Des solutions, telles que la télésanté, ont été présentées afin de pallier ce problème. Le RUIS McGill a ainsi développé un programme de téléobstétrique afin de desservir une population de femmes inuites à grossesse à risque élevé (GARE) habitant le Nunavik. L’objectif de ce mémoire fut de comprendre l’impact du service de téléobstétrique du RUIS McGill sur la santé des femmes et de leur nouveau-né ainsi que sur les coûts de santé et l’utilisation des services suite à son implantation au Centre de santé et de services sociaux Inuulitsivik sur la côte de la baie d’Hudson. Les femmes inuites à grossesse à risque élevé et leurs enfants de la région de la baie d’Hudson du Nunavik, éloignés des services obstétriques spécialisés, sont visés. Le service de téléobstétrique permet un accès aux obstétriciens du RUIS McGill localisés à Montréal. Un devis quasi-expérimental est utilisé pour examiner trois hypothèses portant sur l’état de santé des mères et des enfants, sur l’utilisation des services de santé et sur leurs coûts. Le service de téléobstétrique est devenu fonctionnel en 2006, offrant la possibilité de constituer une étude avant-après à deux groupes de femmes, soit celles ayant accouché avant 2006 (prétest) et celle ayant accouché après 2012 (post-test). La collecte de donnée se fit, dans son intégralité, par l’entremise des dossiers médicaux papier des participantes permettant l’analyse de 47 dossiers pour le prétest et de 81 dossiers pour le post-test. L’exécution d’analyse de covariance, de régression logistique et du test non paramétrique de Mann-Witney permit de conclure que le prétest et le post-test ne différent que sur deux variables, soient le poids à la naissance, plus faible dans le post-test et la pression artérielle de la mère à la naissance, plus élevée dans le post-test. Pour l’ensemble des autres variables portant sur les trois hypothèses à l’étude, les résultats de ce mémoire ne démontrent aucune différence significative entre les deux groupes démontrant ainsi qu’une même qualité de soins a été conservée suite à l’implantation du programme de téléobstétrique. Sur la base des résultats, ce mémoire recommande de revoir et modifier les objectifs du programme; de partager les bornes de communication de télésanté avec d’autres spécialités; d’entreprendre une évaluation du programme axée sur les coûts; de suivre rigoureusement l’utilisation du programme pour en maximiser l’efficacité et le potentiel; d’établir un tableau de bord; et d’entreprendre une étude évaluative comparative dans un service de téléobstétrique comparable.

Feasibility study and flow scheduling optimization of a multi-product pipeline system

The first goal of this study is to analyse a real-world multiproduct onshore pipeline system in order to verify its hydraulic configuration and operational feasibility by constructing a simulation model step by step from its elementary building blocks that permits to copy the operation of the real system as precisely as possible. The second goal is to develop this simulation model into a user-friendly tool that one could use to find an “optimal” or “best” product batch schedule for a one year time period. Such a batch schedule could change dynamically as perturbations occur during operation that influence the behaviour of the entire system. The result of the simulation, the ‘best’ batch schedule is the one that minimizes the operational costs in the system. The costs involved in the simulation are inventory costs, interface costs, pumping costs, and penalty costs assigned to any unforeseen situations. The key factor to determine the performance of the simulation model is the way time is represented. In our model an event based discrete time representation is selected as most appropriate for our purposes. This means that the time horizon is divided into intervals of unequal lengths based on events that change the state of the system. These events are the arrival/departure of the tanker ships, the openings and closures of loading/unloading valves of storage tanks at both terminals, and the arrivals/departures of trains/trucks at the Delivery Terminal. In the feasibility study we analyse the system’s operational performance with different Head Terminal storage capacity configurations. For these alternative configurations we evaluated the effect of different tanker ship delay magnitudes on the number of critical events and product interfaces generated, on the duration of pipeline stoppages, the satisfaction of the product demand and on the operative costs. Based on the results and the bottlenecks identified, we propose modifications in the original setup.

Évaluation de l’impact des services en téléobstétrique du RUIS McGill offerts à une population de femmes inuites avec grossesse à risque élevé habitant sur la côte de la baie d’Hudson au Nunavik

L’accessibilité à des soins de santé pour une population habitant une région éloignée au Québec représente un défi de taille pour le Ministère de la santé et des services sociaux. Des solutions, telles que la télésanté, ont été présentées afin de pallier ce problème. Le RUIS McGill a ainsi développé un programme de téléobstétrique afin de desservir une population de femmes inuites à grossesse à risque élevé (GARE) habitant le Nunavik. L’objectif de ce mémoire fut de comprendre l’impact du service de téléobstétrique du RUIS McGill sur la santé des femmes et de leur nouveau-né ainsi que sur les coûts de santé et l’utilisation des services suite à son implantation au Centre de santé et de services sociaux Inuulitsivik sur la côte de la baie d’Hudson. Les femmes inuites à grossesse à risque élevé et leurs enfants de la région de la baie d’Hudson du Nunavik, éloignés des services obstétriques spécialisés, sont visés. Le service de téléobstétrique permet un accès aux obstétriciens du RUIS McGill localisés à Montréal. Un devis quasi-expérimental est utilisé pour examiner trois hypothèses portant sur l’état de santé des mères et des enfants, sur l’utilisation des services de santé et sur leurs coûts. Le service de téléobstétrique est devenu fonctionnel en 2006, offrant la possibilité de constituer une étude avant-après à deux groupes de femmes, soit celles ayant accouché avant 2006 (prétest) et celle ayant accouché après 2012 (post-test). La collecte de donnée se fit, dans son intégralité, par l’entremise des dossiers médicaux papier des participantes permettant l’analyse de 47 dossiers pour le prétest et de 81 dossiers pour le post-test. L’exécution d’analyse de covariance, de régression logistique et du test non paramétrique de Mann-Witney permit de conclure que le prétest et le post-test ne différent que sur deux variables, soient le poids à la naissance, plus faible dans le post-test et la pression artérielle de la mère à la naissance, plus élevée dans le post-test. Pour l’ensemble des autres variables portant sur les trois hypothèses à l’étude, les résultats de ce mémoire ne démontrent aucune différence significative entre les deux groupes démontrant ainsi qu’une même qualité de soins a été conservée suite à l’implantation du programme de téléobstétrique. Sur la base des résultats, ce mémoire recommande de revoir et modifier les objectifs du programme; de partager les bornes de communication de télésanté avec d’autres spécialités; d’entreprendre une évaluation du programme axée sur les coûts; de suivre rigoureusement l’utilisation du programme pour en maximiser l’efficacité et le potentiel; d’établir un tableau de bord; et d’entreprendre une étude évaluative comparative dans un service de téléobstétrique comparable.

Deficit of quantal release of GABA in experimental models of temporal lobe epilepsy

Because GABA (gamma-aminobutyric acid) receptor-mediated inhibition controls the excitability of principal neurons in the brain, deficits in GABAergic inhibition have long been favored to explain seizures. In an experimental model of temporal lobe epilepsy, we have identified a deficit of inhibition in presynaptic GABAergic terminals characterized by decreased GABA quantal activity associated with reduced synaptic vesicle density. This decrease in vesicle number primarily seems to affect the reserve pool, rather than the docked or the readily releasable pool.

Power Quality Evaluation of a Photovoltaic System on an Electric Grid

This paper focuses on tests of photovoltaic systems in order to address two case studies with silicon monocrystalline and silicon polycrystalline panels, respectively. The first case is an identification of the three parameters of the single-diode equivalent circuit for modelling photovoltaic systems with conclusion about the inevitably age degradation. A comparison between experimental observed and computed I-V and V-P characteristics curves is carried out at standard test conditions. The second case is an experimental observation on a photovoltaic system connected to an electric grid in what regards the quality of the energy injected into the grid. A measuring of the harmonic content in the voltage and in the current waveforms at the terminals of the photovoltaic system is carried out in order to conclude about the conformity with the Standard EN 50160 and the IEEE 519-1992, respectively.

Robotic Sensing and Manipulation of Deformable Linear Objects with Learning-based methods

Nowadays robotic applications are widespread and most of the manipulation tasks are efficiently solved. However, Deformable-Objects (DOs) still represent a huge limitation for robots. The main difficulty in DOs manipulation is dealing with the shape and dynamics uncertainties, which prevents the use of model-based approaches (since they are excessively computationally complex) and makes sensory data difficult to interpret. This thesis reports the research activities aimed to address some applications in robotic manipulation and sensing of Deformable-Linear-Objects (DLOs), with particular focus to electric wires. In all the works, a significant effort was made in the study of an effective strategy for analyzing sensory signals with various machine learning algorithms. In the former part of the document, the main focus concerns the wire terminals, i.e. detection, grasping, and insertion. First, a pipeline that integrates vision and tactile sensing is developed, then further improvements are proposed for each module. A novel procedure is proposed to gather and label massive amounts of training images for object detection with minimal human intervention. Together with this strategy, we extend a generic object detector based on Convolutional-Neural-Networks for orientation prediction. The insertion task is also extended by developing a closed-loop control capable to guide the insertion of a longer and curved segment of wire through a hole, where the contact forces are estimated by means of a Recurrent-Neural-Network. In the latter part of the thesis, the interest shifts to the DLO shape. Robotic reshaping of a DLO is addressed by means of a sequence of pick-and-place primitives, while a decision making process driven by visual data learns the optimal grasping locations exploiting Deep Q-learning and finds the best releasing point. The success of the solution leverages on a reliable interpretation of the DLO shape. For this reason, further developments are made on the visual segmentation.

User scheduling for low earth orbit multi-user multiple-input-multiple-output non-terrestrial network systems

In rural and isolated areas without cellular coverage, Satellite Communication (SatCom) is the best candidate to complement terrestrial coverage. However, the main challenge for future generations of wireless networks will be to meet the growing demand for new services while dealing with the scarcity of frequency spectrum. As a result, it is critical to investigate more efficient methods of utilizing the limited bandwidth; and resource sharing is likely the only choice. The research community’s focus has recently shifted towards the interference management and exploitation paradigm to meet the increasing data traffic demands. In the Downlink (DL) and Feedspace (FS), LEO satellites with an on-board antenna array can offer service to numerous User Terminals (UTs) (VSAT or Handhelds) on-ground in FFR schemes by using cutting-edge digital beamforming techniques. Considering this setup, the adoption of an effective user scheduling approach is a critical aspect given the unusually high density of User terminals on the ground as compared to the on-board available satellite antennas. In this context, one possibility is that of exploiting clustering algorithms for scheduling in LEO MU-MIMO systems in which several users within the same group are simultaneously served by the satellite via Space Division Multiplexing (SDM), and then these different user groups are served in different time slots via Time Division Multiplexing (TDM). This thesis addresses this problem by defining a user scheduling problem as an optimization problem and discusses several algorithms to solve it. In particular, focusing on the FS and user service link (i.e., DL) of a single MB-LEO satellite operating below 6 GHz, the user scheduling problem in the Frequency Division Duplex (FDD) mode is addressed. The proposed State-of-the-Art scheduling approaches are based on graph theory. The proposed solution offers high performance in terms of per-user capacity, Sum-rate capacity, SINR, and Spectral Efficiency.

Neural Network based Non Orthogonal Random Access for 6G NTN-IoT

Pervasive and distributed Internet of Things (IoT) devices demand ubiquitous coverage beyond No-man’s land. To satisfy plethora of IoT devices with resilient connectivity, Non-Terrestrial Networks (NTN) will be pivotal to assist and complement terrestrial systems. In a massiveMTC scenario over NTN, characterized by sporadic uplink data reports, all the terminals within a satellite beam shall be served during the short visibility window of the flying platform, thus generating congestion due to simultaneous access attempts of IoT devices on the same radio resource. The more terminals collide, the more average-time it takes to complete an access which is due to the decreased number of successful attempts caused by Back-off commands of legacy methods. A possible countermeasure is represented by Non-Orthogonal Multiple Access scheme, which requires the knowledge of the number of superimposed NPRACH preambles. This work addresses this problem by proposing a Neural Network (NN) algorithm to cope with the uncoordinated random access performed by a prodigious number of Narrowband-IoT devices. Our proposed method classifies the number of colliding users, and for each estimates the Time of Arrival (ToA). The performance assessment, under Line of Sight (LoS) and Non-LoS conditions in sub-urban environments with two different satellite configurations, shows significant benefits of the proposed NN algorithm with respect to traditional methods for the ToA estimation.

Graph-based User Scheduling for MIMO LEO-based Satellite Communication Systems

The study of the user scheduling problem in a Low Earth Orbit (LEO) Multi-User MIMO system is the objective of this thesis. With the application of cutting-edge digital beamforming algorithms, a LEO satellite with an antenna array and a large number of antenna elements can provide service to many user terminals (UTs) in full frequency reuse (FFR) schemes. Since the number of UTs on-ground are many more than the transmit antennas on the satellite, user scheduling is necessary. Scheduling can be accomplished by grouping users into different clusters: users within the same cluster are multiplexed and served together via Space Division Multiple Access (SDMA), i.e., digital beamforming or Multi-User MIMO techniques; the different clusters of users are then served on different time slots via Time Division Multiple Access (TDMA). The design of an optimal user grouping strategy is known to be an NP-complete problem which can be solved only through exhaustive search. In this thesis, we provide a graph-based user scheduling and feed space beamforming architecture for the downlink with the aim of reducing user inter-beam interference. The main idea is based on clustering users whose pairwise great-circle distance is as large as possible. First, we create a graph where the users represent the vertices, whereas an edge in the graph between 2 users exists if their great-circle distance is above a certain threshold. In the second step, we develop a low complex greedy user clustering technique and we iteratively search for the maximum clique in the graph, i.e., the largest fully connected subgraph in the graph. Finally, by using the 3 aforementioned power normalization techniques, a Minimum Mean Square Error (MMSE) beamforming matrix is deployed on a cluster basis. The suggested scheduling system is compared with a position-based scheduler, which generates a beam lattice on the ground and randomly selects one user per beam to form a cluster.