938 resultados para generic hybridity
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A Subclasse Alismatidae nos neotrópicos é composta de nove famílias com 11 gêneros das quais, nove ocorrem na bacia amazônica e cinco no Brasil extra-amazônico. Apenas duas famílias não estão presentes no Brasil e mais duas ausentes da Amazônia brasileira. Este trabalho apresenta descrições detalhadas das famílias e gêneros, além de comentários sobre distribuição geográfica dos gêneros. As famílias estão organizadas na sequência sistemática que nós aceitamos. Os gêneros de cada família estão organizados em ordem alfabética i=sem significado sistemático. Fornecemos desenhos de pelo menos um gênero para cada família. Referências importantes -- tais como revisões genéricas, levantamentos da literatura, ou monografias de áreas neotropicais — estão relacionadas no início de cada tratamento a nível de família. As excelentes coleções do Projeto Flora Amazônica foram de importância decisiva para nosso trabalho-, sem elas não poderiamoi fazer um tratamento genérico completo para toda a região neotrópica.
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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.
Resumo:
Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for humancomputer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of vision-based interaction systems can be the same for all applications and thus facilitate the implementation. In order to test the proposed solutions, three prototypes were implemented. For hand posture recognition, a SVM model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications.
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2nd ed.
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1st ed.
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v.4:no.3(1925)
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v.29:no.3(1956)
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v.29:no.8(1963)
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v.36:no.8(1974)
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v.3:no.15(1904)
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Larva of Hemirhipus Latreille, 1825 is herein described for the first time. Larvae of Chalcolepidius porcatus (Linnaeus, 1767), from Peru, and Hemirhipus apicalis Candèze, 1857, from Argentina, are described and of Alaus myops (Fabricius, 1801), from USA (Illinois and Maryland), and A. oculatus (Linnaeus, 1758), from USA (Illinois and Florida), are redescribed and illustrated. A comparison among the known larvae in each genus is presented. An historical review and the larval characterization of five genera and fourteen species of Hemirhipini genera are also included.
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v.20:no.12(1935)
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v.71(1978)
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v.58:no.10(1971)