Information Filter
Mostrando 13-24 de 115 artigos, teses e dissertações.
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13. Estimação de estado em sistemas elétricos de potência: composição de erros de medidas / State estimation in power systems: measurement error composition
Bretas et al. (2009) has proved, using geometric background, that the measurement error can be decomposed into two components the detectable and the undetectable component respectively. Bretas has also demonstrated that the current methodologies used for processing of gross errors (GE), consider only the detectable component of the error. Thus, depending on
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/08/2011
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14. SENTIMENT ANALYSIS FOR FINANCIAL NEWS ABOUT PETROBRAS COMPANY / CLASSIFICAÇÃO DE SENTIMENTO PARA NOTÍCIAS SOBRE A PETROBRAS NO MERCADO FINANCEIRO
A huge amount of information is available online, in particular regarding financial news. Current research indicate that stock news have a strong correlation to market variables such as trade volumes, volatility, stock prices and firm earnings. Here, we investigate a Sentiment Analysis problem for financial news. Our goal is to classify financial news as fav
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/07/2011
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15. Avaliação de algoritmos e modelos digitais de elevação para extração automática da drenagem / Automatic drainage network extraction using digital elevation models
This work is an evaluation of automatic processes for drainage extraction from Digital Elevation Models (DEM), as related to different data sources, terrain types, algorithms and operation parameters. SRTM, Topodata and GDEM data of four (4) watersheds with distinct geomorphometries were processed through six (6) different flow algorithms (D8, Rho8, Dinf, Mf
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2011
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16. Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives.
In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate time series and remote sensing images. Computational models to filter, transform, merge and analyze data from many different areas are complex and challenging. T
CONGRESSO DA SOCIEDADE BRASILEIRA DE COMPUTAÇÃO. Publicado em: 2011
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17. Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data.
The demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/10/2010
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18. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/10/2010
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19. Essays on regulatory risk issues
Most studies around that try to verify the existence of regulatory risk look mainly at developed countries. Looking at regulatory risk in emerging market regulated sectors is no less important to improving and increasing investment in those markets. This thesis comprises three papers comprising regulatory risk issues. In the first Paper I check whether CAPM
Publicado em: 06/07/2010
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20. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
Publicado em: 2010
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21. Novas propostas em filtragem de projeções tomográficas sob ruído Poisson
In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, Wiener filtering and thresholding in Wavelet domain. We used ten MAP estimators, each estimator with a diferent probability density as prior
Publicado em: 2010
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22. Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data.
The demand for high resolution SAR systems and also for imaging techniques to retrieve scene information on the third dimension have stimulated the development of new acquisition modes and processing approaches. This work studies one of the newest SAR acquisition modes being used, namely the Circular SAR, in which the platform follows a non-linear circular t
Publicado em: 2010
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23. Assimilação de dados com redes neurais artificiais em modelo de circulação geral da atmosfera / Data assimilation with artificial neural networks in atmospheric general circulation model
Weather forecasting systems require a model for the time evolution and an estimate of the current state of the system. The numerical weather prediction (NWP) incorporates the equations of atmospheric dynamics with physical process and it can predict the future state of the atmosphere. Data assimilation provides such an initial estimate of the atmosphere wher
Publicado em: 2010
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24. Instrumentação e identificação de um ambiente predial visando controle preditivo do conforto térmico / Instrumentation and building identification aiming predictive control of thermal comfort
The technological basis of Ambient Intelligence is a network of processing units that collect sensor information, process them and act on the environment through actuators, providing the occupants a diversity of services. In this scenario, this manuscript presents a first-principles structured identification approach for a thermal environment consisting of a
Publicado em: 2010