80 resultados para Modelo dos campos semânticos


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The present paper aims at applying a model of bilingual onomasiological terminological dictionary, as proposed by Babini (2001b), for the development of an English-Portuguese and Portuguese-English electronic dictionary of the fundamental Artificial Neural Networks (ANN) terms. This subarea of Artificial Intelligence was chosen due to its use in several technological activities. The onomasiological dictionary is characterized by allowing searches of either lexical or terminological units from its semantic content. Our dictionary model allows two types of search: semasiological and onomasiological. The onomasiological search is made possible by a set of semes or semantic traits that make up the concept of each term in the dictionary.

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In this work we study extra dimensional theories, taking emphasis in braneworld models generated by real scalar fields. Firstly, we revise the Randall-Sundrum models and we discuss about some thick braneworld scenarios already considered in the literature. We introduce a new thick brane model in order to address the Standard Model hierarchy problem. Furthermore, we show that there exists a class of scalar fields models which are very interesting for analytical studies of thick brane scenarios. Finally, we analyze the braneworld consistency conditions in the context of f(R) and Brans-Dicke gravities, where we show that it is possible to evade a no-go theorem regarding thick brane scenarios

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Abstract A fuzzy linguistic model based on the Mamdani method with input variables, particulate matter, sulfur dioxide, temperature and wind obtained from CETESB with two membership functions each was built to predict the average hospitalization time due to cardiovascular diseases related to exposure to air pollutants in São José dos Campos in the State of São Paulo in 2009. The output variable is the average length of hospitalization obtained from DATASUS with six membership functions. The average time given by the model was compared to actual data using lags of 0 to 4 days. This model was built using the Matlab v. 7.5 fuzzy toolbox. Its accuracy was assessed with the ROC curve. Hospitalizations with a mean time of 7.9 days (SD = 4.9) were recorded in 1119 cases. The data provided revealed a significant correlation with the actual data according to the lags of 0 to 4 days. The pollutant that showed the greatest accuracy was sulfur dioxide. This model can be used as the basis of a specialized system to assist the city health authority in assessing the risk of hospitalizations due to air pollutants.

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Pós-graduação em Música - IA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Física - IFT

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Pós-graduação em Física - IFT

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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The purpose of this research was to present the principles for the implementation of a future water body classification program at the UGRHI-1 (Management Unit of Water Resources-1/São Paulo, Brazil) using qualitative and quantitative water modeling. Our study area was in Campos do Jordão, a city in the state of São Paulo, specifically in the Perdizes river watershed, which is included in the UGRHI-1. The water quality assessment used a modeling mehtodology that can support a future study for the classification of water bodies in the region. The behavior of DO and BOD parameters was assessed in the water quality scenarios, considering the variations of flows, loads, reductions in withdrawals and different efficiencies in sewage treatment. The model used was QUAL2E developed by USEPA (United States Environmental Protection Agency) that received a new graphic interface named QUAL2R model. The reference flows Q7,10, Q95% and Qm used were obtained through the DAEE (Department of Water and Electric Energy) hydrologic regionalization method. It was noted that of the 9 proposed scenarios, only scenario 6 that was predicted in the flow regime Qm with the existence of a treatment system capable of removing 93% of the BOD, in the Perdizes River remained 67.5% of the time in class 2. Scenario 8 predicted a 50% reduction in In scenario 8 a reduction of 50% in the flow captured in CA-04, associated with the efficiency of 93% of BOD removal keeping the river in class 2. In scenario 9 the minimum required efficiency in sewage treatment in the flow regime Q95% for keeping the river in class 2 was also calculated and the value of 94.7% was obtained.

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Pós-graduação em Geociências e Meio Ambiente - IGCE