70 resultados para Modeling Non-Verbal Behaviors Using Machine Learning


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Connectivity is the basic factor for the proper operation of any wireless network. In a mobile wireless sensor network it is a challenge for applications and protocols to deal with connectivity problems, as links might get up and down frequently. In these scenarios, having knowledge of the node remaining connectivity time could both improve the performance of the protocols (e.g. handoff mechanisms) and save possible scarce nodes resources (CPU, bandwidth, and energy) by preventing unfruitful transmissions. The current paper provides a solution called Genetic Machine Learning Algorithm (GMLA) to forecast the remainder connectivity time in mobile environments. It consists in combining Classifier Systems with a Markov chain model of the RF link quality. The main advantage of using an evolutionary approach is that the Markov model parameters can be discovered on-the-fly, making it possible to cope with unknown environments and mobility patterns. Simulation results show that the proposal is a very suitable solution, as it overcomes the performance obtained by similar approaches.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This study presents the standardization of the R-2 Non Verbal Intelligence Test for Children conducted at the city of Assis – SP, Brazil, and compares it with the São Paulo city standardization. The sample was composed by 559 children, between 5 and 11 years old, half of each sex, students from Assis city, randomly selected according to their proportion in private and public schools. Results indicate differences between ages and school types, but not between sexes. Percentile norms were established for the total sample at each age. The comparison of Assis and São Paulo city children reveals significant differences and Assis' results slightly higher. The conclusion is that R-2 Test is appropriate to cognitive assessment of Assis children, suggesting the use of new norms for this region.

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Transmission expansion planning (TEP) is a classic problem in electric power systems. In current optimization models used to approach the TEP problem, new transmission lines and two-winding transformers are commonly used as the only candidate solutions. However, in practice, planners have resorted to non-conventional solutions such as network reconfiguration and/or repowering of existing network assets (lines or transformers). These types of non-conventional solutions are currently not included in the classic mathematical models of the TEP problem. This paper presents the modeling of necessary equations, using linear expressions, in order to include non-conventional candidate solutions in the disjunctive linear model of the TEP problem. The resulting model is a mixed integer linear programming problem, which guarantees convergence to the optimal solution by means of available classical optimization tools. The proposed model is implemented in the AMPL modeling language and is solved using CPLEX optimizer. The Garver test system, IEEE 24-busbar system, and a Colombian system are used to demonstrate that the utilization of non-conventional candidate solutions can reduce investment costs of the TEP problem. (C) 2015 Elsevier Ltd. All rights reserved.

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The linearity assumption in the structural dynamics analysis is a severe practical limitation. Further, in the investigation of mechanisms presented in fighter aircrafts, as for instance aeroelastic nonlinearity, friction or gaps in wing-load-payload mounting interfaces, is mandatory to use a nonlinear analysis technique. Among different approaches that can be used to this matter, the Volterra theory is an interesting strategy, since it is a generalization of the linear convolution. It represents the response of a nonlinear system as a sum of linear and nonlinear components. Thus, this paper aims to use the discrete-time version of Volterra series expanded with Kautz filters to characterize the nonlinear dynamics of a F-16 aircraft. To illustrate the approach, it is identified and characterized a non-parametric model using the data obtained during a ground vibration test performed in a F-16 wing-to-payload mounting interfaces. Several amplitude inputs applied in two shakers are used to show softening nonlinearities presented in the acceleration data. The results obtained in the analysis have shown the capability of the Volterra series to give some insight about the nonlinear dynamics of the F-16 mounting interfaces. The biggest advantage of this approach is to separate the linear and nonlinear contributions through the multiple convolutions through the Volterra kernels.

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Pós-graduação em Engenharia Mecânica - FEG

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This paper embraces the tapestry, from Cluny Museum: La Dame a la Licorne. There are in two types of analyses: One is a diachronic vew and also a sincrhonic, which guide its pratice. In the tapestry La Dame a la Licorne at the Cluny Museum a reading based over the myths and symbols was the main line. \The first analyses, diachronic covers the temporality of the tapestry production, the second one, synchronic, describes the level of history, religion and myths envolved. This work consists in a process of actualization and an effort to bring closely the discussion over tapestry, using methods applied to non-verbal readings.

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The visual identity is based on a semantic relationship of several signs that make up a coherent system. A bimédia language formed by text and image complement to create an understandable message. This study aims the use of non-verbal communication in the corporate visual identity design project, contextualizing the role of the designer as mediator for informational corporate message to their audiences.

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Pós-graduação em Educação para a Ciência - FC

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Pós-graduação em Ciência da Computação - IBILCE