932 resultados para spatial information processing theories
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This study includes the results of the analysis of areas susceptible to degradation by remote sensing in semi-arid region, which is a matter of concern and affects the whole population and the catalyst of this process occurs by the deforestation of the savanna and improper practices by the use of soil. The objective of this research is to use biophysical parameters of the MODIS / Terra and images TM/Landsat-5 to determine areas susceptible to degradation in semi-arid Paraiba. The study area is located in the central interior of Paraíba, in the sub-basin of the River Taperoá, with average annual rainfall below 400 mm and average annual temperature of 28 ° C. To draw up the map of vegetation were used TM/Landsat-5 images, specifically, the composition 5R4G3B colored, commonly used for mapping land use. This map was produced by unsupervised classification by maximum likelihood. The legend corresponds to the following targets: savanna vegetation sparse and dense, riparian vegetation and exposed soil. The biophysical parameters used in the MODIS were emissivity, albedo and vegetation index for NDVI (NDVI). The GIS computer programs used were Modis Reprojections Tools and System Information Processing Georeferenced (SPRING), which was set up and worked the bank of information from sensors MODIS and TM and ArcGIS software for making maps more customizable. Initially, we evaluated the behavior of the vegetation emissivity by adapting equation Bastiaanssen on NDVI for spatialize emissivity and observe changes during the year 2006. The albedo was used to view your percentage of increase in the periods December 2003 and 2004. The image sensor of Landsat TM were used for the month of December 2005, according to the availability of images and in periods of low emissivity. For these applications were made in language programs for GIS Algebraic Space (LEGAL), which is a routine programming SPRING, which allows you to perform various types of algebras of spatial data and maps. For the detection of areas susceptible to environmental degradation took into account the behavior of the emissivity of the savanna that showed seasonal coinciding with the rainy season, reaching a maximum emissivity in the months April to July and in the remaining months of a low emissivity . With the images of the albedo of December 2003 and 2004, it was verified the percentage increase, which allowed the generation of two distinct classes: areas with increased variation percentage of 1 to 11.6% and the percentage change in areas with less than 1 % albedo. It was then possible to generate the map of susceptibility to environmental degradation, with the intersection of the class of exposed soil with varying percentage of the albedo, resulting in classes susceptibility to environmental degradation
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Searching for an understanding of how the brain supports conscious processes, cognitive scientists have proposed two main classes of theory: Global Workspace and Information Integration theories. These theories seem to be complementary, but both still lack grounding in terms of brain mechanisms responsible for the production of coherent and unitary conscious states. Here we propose following James Robertson's "Astrocentric Hypothesis" - that conscious processing is based on analog computing in astrocytes. The "hardware" for these computations is calcium waves mediated by adenosine triphosphate signaling. Besides presenting our version of this hypothesis, we also review recent findings on astrocyte morphology that lend support to their functioning as Local Hubs (composed of protoplasmic astrocytes) that integrate synaptic activity, and as a Master Hub (composed, in the human brain, by a combination of interlaminar, fibrous, polarized and varicose projection astrocytes) that integrates whole-brain activity.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Astrocytes and human cognition: Modeling information integration and modulation of neuronal activity
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Managing the great complexity of enterprise system, due to entities numbers, decision and process varieties involved to be controlled results in a very hard task because deals with the integration of its operations and its information systems. Moreover, the enterprises find themselves in a constant changing process, reacting in a dynamic and competitive environment where their business processes are constantly altered. The transformation of business processes into models allows to analyze and redefine them. Through computing tools usage it is possible to minimize the cost and risks of an enterprise integration design. This article claims for the necessity of modeling the processes in order to define more precisely the enterprise business requirements and the adequate usage of the modeling methodologies. Following these patterns, the paper concerns the process modeling relative to the domain of demand forecasting as a practical example. The domain of demand forecasting was built based on a theoretical review. The resulting models considered as reference model are transformed into information systems and have the aim to introduce a generic solution and be start point of better practical forecasting. The proposal is to promote the adequacy of the information system to the real needs of an enterprise in order to enable it to obtain and accompany better results, minimizing design errors, time, money and effort. The enterprise processes modeling are obtained with the usage of CIMOSA language and to the support information system it was used the UML language.
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Molecular neurobiology has provided an explanation of mechanisms supporting mental functions as learning, memory, emotion and consciousness. However, an explanatory gap remains between two levels of description: molecular mechanisms determining cellular and tissue functions, and cognitive functions. In this paper we review molecular and cellular mechanisms that determine brain activity, and then hypothetize about their relation with cognition and consciousness. The brain is conceived of as a dynamic system that exchanges information with the whole body and the environment. Three explanatory hypotheses are presented, stating that: a) brain tissue function is coordinated by macromolecules controlling ion movements, b) structured (amplitude, frequency and phase-modulated) local field potentials generated by organized ionic movement embody cognitive information patterns, and c) conscious episodes are constructed by a large-scale mechanism that uses oscillatory synchrony to integrate local field patterns. © by São Paulo State University.
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The discovery of participation of astrocytes as active elements in glutamatergic tripartite synapses (composed by functional units of two neurons and one astrocyte) has led to the construction of models of cognitive functioning in the human brain, focusing on associative learning, sensory integration, conscious processing and memory formation/retrieval. We have modelled human cognitive functions by means of an ensemble of functional units (tripartite synapses) connected by gap junctions that link distributed astrocytes, allowing the formation of intra- and intercellular calcium waves that putatively mediate large-scale cognitive information processing. The model contains a diagram of molecular mechanisms present in tripartite synapses and contributes to explain the physiological bases of cognitive functions. It can be potentially expanded to explain emotional functions and psychiatric phenomena. © MSM 2011.
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The post-processing of association rules is a difficult task, since a huge number of rules that are generated are of no interest to the user. To overcome this problem many approaches have been developed, such as objective measures and clustering. However, objective measures don't reduce nor organize the collection of rules, therefore making the understanding of the domain difficult. On the other hand, clustering doesn't reduce the exploration space nor direct the user to find interesting knowledge, therefore making the search for relevant knowledge not so easy. In this context this paper presents the PAR-COM methodology that, by combining clustering and objective measures, reduces the association rule exploration space directing the user to what is potentially interesting. An experimental study demonstrates the potential of PAR-COM to minimize the user's effort during the post-processing process. © 2012 Springer-Verlag.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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O objetivo do presente trabalho foi investigar, empregando testes neuropsicológicos selecionados, a duração dos efeitos benéficos do programa de estimulação multissensorial e cognitiva realizado em idosos vivendo em instituições de longa permanência ou em comunidade. Os participantes do estudo foram idosos institucionalizados (n=20, 75,1 ± 6,8 anos de idade) e não institucionalizados (n=15, 74,1 ± 3,9 anos de idade), com 65 anos de idade ou mais, sem histórico de traumatismo crânio-encefálico, acidente vascular encefálico ou depressão primária, acuidade visual mínima 20/30 mensurada pelo Teste de Snellen e que participaram regularmente do Programa de Estimulação Multissensorial e Cognitiva. Foram realizadas reavaliações em cinco períodos (2, 4, 6, 8 e 12 meses) após a finalização da intervenção multissensorial e cognitiva. Para isso empregou-se o Mini Exame do Estado Mental (MEEM); nomeação de Boston; fluência verbal semântica (FVS) e fonológica (FVF), testes da Bateria Montreal de Avaliação da Comunicação (MAC), Teste de Narrativa “Roubo de Biscoitos” e testes neuropsicológicos selecionados da Bateria Cambridge (CANTAB) incluindo: Triagem Motora (Motor Screening – MOT); Processamento Rápido de Informação Visual (Rapid Visual Information Processing – RVP); Tempo de Reação (Reaction Time - RTI); Aprendizagem Pareada (Paired Associates Learning - PAL); Memória de Trabalho Espacial (Spatial Working Memory - SWM) e Pareamento com Atraso (Delayed matching to sample - DMS). Os resultados apontaram diferenças estatisticamente significativas entre os grupos revelando taxa de declínio cognitivo maior nos idosos institucionalizados. Esses resultados confirmam sugestão anterior de que o ambiente pobre de estímulos somato-motores e cognitivos das instituições de longa permanência aceleram o declínio cognitivo senil. Além disso, a análise das curvas ROC seguido dos cálculos de sensibilidade, especificidade e eficiência para cada teste revelou que os testes da bateria CANTAB para memória e aprendizado espacial pareado assim como para memória espacial de trabalho permitiram a distinção entre os grupos I e NI em todas janelas de reavaliação. Os resultados demonstraram que uma vez cessado o programa de estimulação, se observa em ambos os grupos declínio cognitivo progressivo, com perdas mais precoces e mais intensas nos idosos institucionalizados do que naqueles vivendo em comunidade com suas famílias. Além disso, observou-se que a duração dos efeitos benéficos sobre o desempenho nos testes neuropsicológicos de ambos os grupos é heterogêneo, e que os efeitos de proteção guardam relação estreita com a natureza das oficinas. Por conta disso os escores dos testes de linguagem declinaram mais lentamente. Os resultados reúnem evidências que permitem a recomendação de programas regulares de estimulação somatomotora e cognitiva para idosos institucionalizados com o intuito de promover a redução da taxa de progressão do declínio cognitivo senil.
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O primeiro estágio de processamento da informação do estímulo visual consiste na contagem de fótons pelas células fotorreceptoras. Nos estágios pós-receptorais a informação de intensidade absoluta do estímulo é transformada em comparações de informações provindas de áreas adjacentes da retina e momentos sucessivos. Essa métrica implementada pelo sistema visual para quantificar o estímulo é chamada de contraste - contraste espacial ou simultâneo e contraste temporal ou sucessivo. A presença de contraste é essencial para a geração de percepção visual consciente no domínio do espaço e do tempo e em três dimensões ortogonais de cores - branca e preta; azul e amarela; verde e vermelha. Uma curva em forma de sinodelimita os limiares de detecção de contraste em função da frequência especial ou temporal do estímulo. Ela é chamada função de sensibilidade ao contraste e é afetada por uma série de fatores ópticos e neurais. Neurônios de diferentes classes contribuem para regiões diferentes da função de sensibilidade ao contraste e suas atividades representam as ações de vias de processamento visual que se estendem da retina ao córtex visual. Investigações básicas e clínicas têm dado suporte à importância do estudo da sensibilidade ao contraste espacial de luminância (branco e preta) como uma ferramenta indicadora da função visual em sujeitos normais e afetados por disfunções neuro-oftalmológicas.
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Pós-graduação em Ciência da Computação - IBILCE
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Suitable computacional tools allow to build applications that can link information to its physical location, and represent them into visual and interactive schemes, e ectively reaching the power of visual comunication. This leads the user to synthesize information in a simple and e cient way. These applications are linked to the de nition of Geographic Information System (GIS). GIS are comprised by many concepts and tools, which have the main purpose of collecting, storing, viewing and processing spatial data, obtaining the information needed for decision making. Within this context, this paper presents the Conception and Implementation of a Control System for Urban Forestry through Integration of Free and Open Source Software. This conception arose from the need of an Environmental Project developed by the Agriculture's House of the city of Regente Feij o, which has as main objectives cataloging and management of urban a orestation of the municipality. Due to this diversity of concepts, the challenge in building this system is the integration of platforms that are involved in all stages: collecting and storage of data, including maps and other spatial information, operations on the stored information, obtaining results and graphical visualization of the same. After implementation, it was possible to provide for the system users an improvement in the capacity of perception in the information analysis and facilitate the process of decision making