35 resultados para Augmented Reality, Location Awareness, CSCW, Cooperation,Distributed System
Estimativa e análise de índices de irregularidades da ionosfera utilizando dados GPS de redes ativas
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Observable GNSS (Global Navigation Satellite System) are affected by systematic errors due to free electrons present in the ionosphere. The error associated with the ionosphere depends on the Total Electron Content (TEC), which is influenced by several variables: solar cycle, season, local time, geomagnetic activity and geographic location. The GPS (Global Positioning System), GLONASS (Global Orbiting Navigation Satellite System) and Galileo dual frequency receivers allow the calculation of the error that affects the GNSS observables and the TEC. Using the rate of change of TEC (ROT - Rate of TEC) indices that indicate irregularities of the ionosphere can be determined, allowing inferences about its behavior. Currently it is possible to perform such studies in Brazil, due to the several Active Networks available, such as RBMC/RIBaC (Rede Brasileira de Monitoramento Contínuo/Rede INCRA de Bases Comunitárias) and GNSS Active Network of São Paulo. The proposed research aimed at estimating and analysing of indexes of irregularities of the ionosphere, besides supplying the geosciences of information about the behavior of the ionosphere.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The project presents an explanation of the technique of video mapping, resource use, origin and use of the strands. Also conducts multidisciplinary literature review of concepts that can be applied to the technique of video mapping: Augmented Reality, Spatiality in Virtual and Real Environments. The project also introduces aspects of the history of cinema and audiovisual narrative. In addition conducts an inventory of software and hardware required for the technique of video mapping, reports performing experiments with the use of the technique and discusses the results obtained. As a contribution to development area, proposes to use video mapping as an augmented reality tool at an immersive experimental film language
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Post-Occupancy Evaluation of buildings considers user satisfaction, building pathologies and performance, as well as users interventions in the built environment. The possibility of identifying interventions regardless of the user could provide a significant gain in the efficiency of Post-Occupancy Evaluations. We foresee the application of Augmented Reality (AR) to improve the identification of renovations by overlapping the construction information model with an image of the actual building. This article validates the use of AR on existing smartphone and tablet applications. This study proposes the incorporation of AR into the planning, execution and application of Post-Occupancy Evaluation. For the planning, this study proposes the development of a new research tool. With regards to the execution, this study examined the data collection conditions on site through the visualization of overlapping models. For the application, this study proposes displaying the results through the use of RA information layers. The transparency oft he RA model was used to allow comparison between the virtual model and the real model. The development and adaptation of the virtual model and the solution developed for the experiment of the RA proposal are presented and discussed. The experiment points to shortcomings that still make the proposed technological solution unfeasible.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Malware has become a major threat in the last years due to the ease of spread through the Internet. Malware detection has become difficult with the use of compression, polymorphic methods and techniques to detect and disable security software. Those and other obfuscation techniques pose a problem for detection and classification schemes that analyze malware behavior. In this paper we propose a distributed architecture to improve malware collection using different honeypot technologies to increase the variety of malware collected. We also present a daemon tool developed to grab malware distributed through spam and a pre-classification technique that uses antivirus technology to separate malware in generic classes. © 2009 SPIE.