970 resultados para Innovatin Radar
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Many viruses have developed numerous strategies to recruit and take advantage of cellular protein degradation pathways to evade the cellular viral immune system. One such virus is the Kaposi´s Sarcoma associated herpesvirus (KSHV), first discovered in Kaposi´s Sarcoma lesions found in AIDS patients. Latency-Associated Nuclear Antigen (LANA) is a KSHV multifunctional protein responsible for tethering viral DNA to the chromosome ensuring maintenance and segregation of the viral genome during cell division. Besides its main role of viral maintenance, LANA also physically interacts with several host proteins to modulate cell functions. One such function is to recruit the EC5S ubiquitin-ligase complex by interacting with Elongin BC complex and Cullin 5 protein, which in turn ubiquitinate substrates such as NF-κB and p53 to allow persistent viral infection. Like any other post-translation modifications, ubiquitination is reversible through deubiquitination enzymes (DUBs). LANA also interacts with ubiquitin specific protease 7 (USP7), a deubiquitination enzyme involved in regulation of several proteins including p53. Interaction with USP7 is made through a conserved peptide motif, which is also present in LANA. This work addresses the role of LANA in the recruitment and modulation of the ubiquitination and deubiquitination pathways. Despite the continued efforts in uncovering new LANA interacting partners to form a functional EC5S ubiquitin-ligase complex, only MHV-68 LANA interacted directly with Elongin BC, other interactions were not direct and may require a linker protein. On the other hand, LANA interaction with USP7 was able to be analysed by X-ray structure determination. In addition to a conserved P/AxxS motif, a novel Glutamine (Gln) residue from KSHV LANA was shown to make a specific interaction with USP7. This Gln residue is also present in other herpesvirus protein and hence it might be a conserved motif within herpesviruses.
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As infraestruturas ferroviárias são cada vez mais, essenciais para o serviço de mobilidade de pessoas e bens em curtas e em longas distâncias. A notável evolução da indústria e da tecnologia impulsionou o desenvolvimento socioeconómico dos países e por sua vez, a densidade das redes de transporte. Com base nesta expansão as entidades gestoras dos caminhos-de-ferro têm como função oferecer cada vez melhores serviços de transporte e, por conseguinte, garantir um elevado nível de segurança e conforto aos passageiros conjugando-os, claro, com os recursos que dispõem. Hoje em dia, as noções de manutenção e conservação das vias férreas estão directamente ligadas com a segurança dos utilizadores. Daqui resulta que as inspeções das vias são cada vez mais importantes para o bom funcionamento das mesmas. Assim, o objectivo desta dissertação consiste em propor uma metodologia para uma melhor avaliação das infraestruturas ferroviárias em tempo real. Ou seja, o intuito será de diminuir o tempo de inspecção das vias férreas, com base na antecipada caracterização dos parâmetros eletromagnéticos dos materiais ferroviários, em especial, do balastro contaminado com solo. Pretendeu-se desenvolver ensaios em laboratório que simulem as várias hipóteses de contaminação do balastro que podem existir numa via tradicional, variando o nível de contaminação do balastro e o teor em água do solo. Posteriormente, através da medição em contínuo da camada de balastro, com o apoio do radar de prospecção, GPR, irão ser estudadas as constantes dieléctricas dos diferentes casos de estudo. A metodologia em estudo procura estabelecer uma relação entre os dados obtidos em laboratório, através do radar de prospecção, e a medição dos parâmetros geométricos de via numa via em serviço, analisando, principalmente, as zonas de deterioração. A utilização do GPR mostrou ser uma ferramenta eficiente para avaliação da condição da via, permitindo observar a evolução ao longo do tempo da contaminação do balastro.
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This case study illustrates the application of the Value Creation Radar (VCR) to SenSyF, an Earth Observation (EO) system which was developed by Deimos Engenharia S.A. (DME), the Portuguese affiliate of Elecnor Deimos. It describes how a team of consultants adopted the VCR in order to find new market applications for SenSyF, selected the one with the highest potential, and defined a path to guarantee a sustainable market launch. This case study highlights the main challenges of bringing a technology-driven company closer to the market in the pursuit of long-term sustainability, while not compromising its technological capabilities
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The case describes the development of MyFARM’s internationalization plan, a service of Deimos Engenharia, under the GloCal Radar. This space engineering company hired Lisbon Consulting Company to undertake the project to overcome its lack of market orientation. The consultants’ analysis revealed Stevens County, Kansas, as the market with the highest potential for MyFARM. A suitable entry strategy and adaptation of the service for the local market was proposed. The case culminates with the Board of Directors discussing the viability of implementing the consultants’ recommendations to start diversifying their sources of revenue streams.
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A área da planície de inundação da Amazônia é estimada em 300 000km² e sua produtividade primária em 1,17 x 10(14) g C yr-1. Deste total de área e produtividade, estimativas sugerem que 43% e 62%, respectivamente, são atribuídos às plantas aquáticas. Estas estimativas variam de acordo com o pulso de inundação. Por exemplo, durante o período de seca as plantas terrestres (herbáceas) geralmente ocupam áreas que apresentam plantas aquáticas na cheia. A área e a produtividade destes ecossistemas são informações essenciais para a compreensão da dinâmica biogeoquímica da Amazônia. Imagens de satélites (radar) combinadas com amostragem de campo foram utilizadas para estimar a biomassa e mapear a área de cobertura de plantas aquáticas emergentes para calcular a produção primária de plantas aquáticas na várzea do baixo Amazonas. A combinação de bandas C e L forneceu a melhor correlação (r=0,82) e um ponto de saturação de biomassa intermediário (620 gm-2) para estimar biomassa aérea. O método de segmentação e classificação por região foi utilizado para classificar combinações de bandas C e L para cada período de nível de água, e forneceu uma precisão de mapeamento maior que 95% para determinação espacial de áreas cobertas por plantas aquáticas. Combinando a distribuição espacial de plantas aquáticas, o modelo para estimativa de biomassa aérea e a porcentagem de biomassa submersa, estimou-se espacialmente uma produção primária líquida anual de 1.9x10(12) g C yr-1 (±28%) para as plantas aquáticas em uma área de 394km².
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Ground penetrating radar; landmine; background clutter removal, buried targets detecting
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Subsurface Radar, Ground Penetrating Radar (GPR), Synthetic Aperture Radar (SAR), Anti-Personnel Landmine, Antenna Desing, Field Simulation, Focusing, Dielectric Lens, Geophysics, Soil Properties
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The present project has performed the study and development of a new technique for the detection of gases with range resolution. This technique called FMCW-lidar is a technique that evolves from the FMCW-radar technique to be applied to lidar systems. Moreover, it takes advantage of the appearance of spectral absorption lines because of the interaction between light and gases to tune the light wavelength of a laser emitter with one of this spectral lines and then detects the backscattered light and analyzes it in order to obtain gas concentration measurements. The first part of the project consisted in the analysis of the WMS technique which is a technique for the in-situ measurement of gases. A complete theoretical analysis has been performed and some experiments have been carried out in order to test the technique and to validate its application to an FMCW-modulated system for the detection of gases. The second part of the project consisted in the analysis of the lidar FMCW technique for solid target detection and its extension to continuous media. The classical form of this technique has been analyzed for a distributed medium and a filtering effect has been found which prevents the accurate acquisition of the medium response. A modification of the technique has been proposed and a validation via simulations and some experiments has been carried on. After performing these tests, a novel system is proposed to be developed and tested in order to perform the indicated gas detection with range resolution.
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Over the past decade, significant interest has been expressed in relating the spatial statistics of surface-based reflection ground-penetrating radar (GPR) data to those of the imaged subsurface volume. A primary motivation for this work is that changes in the radar wave velocity, which largely control the character of the observed data, are expected to be related to corresponding changes in subsurface water content. Although previous work has indeed indicated that the spatial statistics of GPR images are linked to those of the water content distribution of the probed region, a viable method for quantitatively analyzing the GPR data and solving the corresponding inverse problem has not yet been presented. Here we address this issue by first deriving a relationship between the 2-D autocorrelation of a water content distribution and that of the corresponding GPR reflection image. We then show how a Bayesian inversion strategy based on Markov chain Monte Carlo sampling can be used to estimate the posterior distribution of subsurface correlation model parameters that are consistent with the GPR data. Our results indicate that if the underlying assumptions are valid and we possess adequate prior knowledge regarding the water content distribution, in particular its vertical variability, this methodology allows not only for the reliable recovery of lateral correlation model parameters but also for estimates of parameter uncertainties. In the case where prior knowledge regarding the vertical variability of water content is not available, the results show that the methodology still reliably recovers the aspect ratio of the heterogeneity.
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A methodology of exploratory data analysis investigating the phenomenon of orographic precipitation enhancement is proposed. The precipitation observations obtained from three Swiss Doppler weather radars are analysed for the major precipitation event of August 2005 in the Alps. Image processing techniques are used to detect significant precipitation cells/pixels from radar images while filtering out spurious effects due to ground clutter. The contribution of topography to precipitation patterns is described by an extensive set of topographical descriptors computed from the digital elevation model at multiple spatial scales. Additionally, the motion vector field is derived from subsequent radar images and integrated into a set of topographic features to highlight the slopes exposed to main flows. Following the exploratory data analysis with a recent algorithm of spectral clustering, it is shown that orographic precipitation cells are generated under specific flow and topographic conditions. Repeatability of precipitation patterns in particular spatial locations is found to be linked to specific local terrain shapes, e.g. at the top of hills and on the upwind side of the mountains. This methodology and our empirical findings for the Alpine region provide a basis for building computational data-driven models of orographic enhancement and triggering of precipitation. Copyright (C) 2011 Royal Meteorological Society .
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During the last decade the interest on space-borne Synthetic Aperture Radars (SAR) for remote sensing applications has grown as testified by the number of recent and forthcoming missions as TerraSAR-X, RADARSAT-2, COSMO-kyMed, TanDEM-X and the Spanish SEOSAR/PAZ. In this sense, this thesis proposes to study and analyze the performance of the state-of-the-Art space-borne SAR systems, with modes able to provide Moving Target Indication capabilities (MTI), i.e. moving object detection and estimation. The research will focus on the MTI processing techniques as well as the architecture and/ or configuration of the SAR instrument, setting the limitations of the current systems with MTI capabilities, and proposing efficient solutions for the future missions. Two European projects, to which the Universitat Politècnica de Catalunya provides support, are an excellent framework for the research activities suggested in this thesis. NEWA project proposes a potential European space-borne radar system with MTI capabilities in order to fulfill the upcoming European security policies. This thesis will critically review the state-of-the-Art MTI processing techniques as well as the readiness and maturity level of the developed capabilities. For each one of the techniques a performance analysis will be carried out based on the available technologies, deriving a roadmap and identifying the different technological gaps. In line with this study a simulator tool will be developed in order to validate and evaluate different MTI techniques in the basis of a flexible space-borne radar configuration. The calibration of a SAR system is mandatory for the accurate formation of the SAR images and turns to be critical in the advanced operation modes as MTI. In this sense, the SEOSAR/PAZ project proposes the study and estimation of the radiometric budget. This thesis will also focus on an exhaustive analysis of the radiometric budget considering the current calibration concepts and their possible limitations. In the framework of this project a key point will be the study of the Dual Receive Antenna (DRA) mode, which provides MTI capabilities to the mission. An additional aspect under study is the applicability of the Digital Beamforming on multichannel and/or multistatic radar platforms, which conform potential solutions for the NEWA project with the aim to fully exploit its capability jointly with MTI techniques.