Harry Clarke e a literatura: da pintura em vitrais à ilustração de livros

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modeling and analysis of artificial neural networks applied in operations research

Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a massive number of these computational elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving problems related to operations research. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach. Copyright (C) 2000 IFAC.

A neural network approach for robust nonlinear parameter estimation in presence of unknown-but-bounded errors

Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a novel approach to solve robust parameter estimation problem for nonlinear model with unknown-but-bounded errors and uncertainties. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach. Copyright (C) 2000 IFAC.

Evolution of representation of the hands in plastic arts

A interação entre arte e ciência foi intensa durante o Renascimento, sofrendo declínio nos anos posteriores com retomada significativa no século XX, principalmente com o uso de técnicas de identificação, datação de obras de arte e o desenvolvimento de novos materiais. O relacionamento entre artes plásticas e Cirurgia da Mão mantêm-se intenso , sendo freqüente o uso de reproduções artísticas da mão nas ilustrações de textos científicos. Objetivando compreender o papel da mão nas artes plásticas, reproduções de obras de artes (esculturas e pinturas) representativas de vários estilos ou períodos da história da arte foram analisadas com enfoque no estudo das mãos. Detalhes anatômicos, relacionamento com outras estruturas do corpo humano, papel na composição e aspectos simbólicos das mãos foram estudados no contexto histórico e artístico de obras de arte do período paleolítico (pré-história) até o século XX. A representação da mão nas artes plásticas está diretamente relacionada ao estilo ou período da obra e à capacidade individual de interpretação e execução do artista.

Extension of the Nambu-Jona-Lasinio model predictions at high densities and temperatures using an implicit regularization scheme

Traditional cutoff regularization schemes of the Nambu-Jona-Lasinio model limit the applicability of the model to energy-momentum scales much below the value of the regularizing cutoff. In particular, the model cannot be used to study quark matter with Fermi momenta larger than the cutoff. In the present work, an extension of the model to high temperatures and densities recently proposed by Casalbuoni, Gatto, Nardulli, and Ruggieri is used in connection with an implicit regularization scheme. This is done by making use of scaling relations of the divergent one-loop integrals that relate these integrals at different energy-momentum scales. Fixing the pion decay constant at the chiral symmetry breaking scale in the vacuum, the scaling relations predict a running coupling constant that decreases as the regularization scale increases, implementing in a schematic way the property of asymptotic freedom of quantum chromodynamics. If the regularization scale is allowed to increase with density and temperature, the coupling will decrease with density and temperature, extending in this way the applicability of the model to high densities and temperatures. These results are obtained without specifying an explicit regularization. As an illustration of the formalism, numerical results are obtained for the finite density and finite temperature quark condensate and applied to the problem of color superconductivity at high quark densities and finite temperature.

A produção do Departamento de Imprensa e Propaganda (DIP) em acervos norte-americanos: estudo de caso

A ação do DIP tem recebido particular atenção, sobretudo quando se trata de evidenciar o caráter repressor e controlador que o órgão de fato exerceu. Menor ênfase tem sido dada a sua ação como editor e financiador de obras favoráveis ao regime: no mais das vezes, não se vai além da citação de uma lista de títulos favoráveis ao regime, que comprovam o investimento na imagem do chefe. Pesquisa realizada em dois acervos norte-americanos permitiu manipular um rol significativo de obras publicadas no período, as quais apontam para uma trama complexa entre autores, editores e gráficas. Além disso, a presença desse material no exterior indica os esforços do regime para atingir uma audiência internacional.

Contribuições da CADES para a Educação (Matemática) Secundária no Brasil: uma Descrição da Produção Bibliográfica (1953-1971)

The so called Campaign for the Improvement and Diffusion of High School (in Portuguese, CADES) took place between 1953 and 1971, in Brazil. During this period, the Campaign published or helped publish dozens of books, in different teaching areas, and several of them were located by the authors of this article. These books guided high school teachers with respect to curriculum planning, legal aspects and methods of teaching. In this article, we contextualize historically this Campaign and also mention its objectives. We briefly describe some of the books found - especially those related to the teaching of mathematics - in order to open perspectives for future approaches and research that can be done based on this written material. Our main aim is to discuss its orientations and to provide ingredients that enable the construction of considerations related to this perspective of training mathematics teachers during a period when there were few colleges and universities to prepare teachers in Brazil.

A neural system to robust Nonlinear optimization subject to disjoint and constrained sets

The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel method using artificial neural networks to solve robust parameter estimation problems for nonlinear models with unknown-but-bounded errors and uncertainties. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach.

A novel approach to robust parameter estimation using neurofuzzy systems

A novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its equilibrium points. Simulated examples are presented as an illustration of the proposed technique. The result represent a significant improvement over previously proposed methods. (C) 1999 IMACS/Elsevier B.V. B.V. All rights reserved.

Observer-based state-feedback versus H-infinity output feedback control solved by LMI approach for applications in smart structures

This paper aims with the use of linear matrix inequalities approach (LMIs) for application in active vibration control problems in smart strutures. A robust controller for active damping in a panel was designed with piezoelectrical actuators in optimal locations for illustration of the main proposal. It was considered, in the simulations of the closed-loop, a model identified by eigensystem realization algorithm (ERA) and reduced by modal decomposition. We tested two differents techniques to solve the problem. The first one uses LMI approach by state-feedback based in an observer design, considering several simultaneous constraints as: a decay rate, limited input on the actuators, bounded output peak (output energy) and robustness to parametic uncertainties. The results demonstrated the vibration attenuation in the structure by controlling only the first modes and the increased damping in the bandwidth of interest. However, it is possible to occur spillover effects, because the design has not been done considering the dynamic uncertainties related with high frequencies modes. In this sense, the second technique uses the classical H. output feedback control, also solved by LMI approach, considering robustness to residual dynamic to overcome the problem found in the first test. The results are compared and discussed. The responses shown the robust performance of the system and the good reduction of the vibration level, without increase mass.

A situação atual da indexação nas tarefas bibliotecárias

Na atualidade a atribuição dos descritores de assuntos ou indexação do conteúdo dos livros, nem sempre está associada ao contexto concreto de cada biblioteca, provocando, em muitos casos, que a recuperação por assuntos não resulte adequada. Neste trabalho analisam-se os principais desafios e perspectivas da indexação dos livros, os avanços de análises de assuntos nos catálogos de bibliotecas, examinam-se procedimentos, instrumentos, regras e condutas utilizadas nas análises e representação do conteúdo dos livros. Também se mostra a interação entre o ensino, a pesquisa e a atuação profissional necessária para que os estudantes possam desenvolver competências na análise, na representação e na procura da informação, assim como os princípios - provavelmente menos evidentes- da organização do conhecimento. Este trabalho coloca em evidência que as políticas de gestão da informação, mais quantitativas que qualitativas, deixam num segundo plano o processamento intelectual do conteúdo prejudicando, desta maneira, a recuperação por assuntos através do catalogo da biblioteca. Finalmente, se recolhe uma serie de propostas docentes relacionadas com a atribuição de descritores de assuntos em contextos bibliotecários.

Uma proposta de material didático baseado nas espécies de Vochysiaceae existentes em uma trilha no cerrado de Bauru - SP

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

Nonlinear optimization using a modified Hopfield model

Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving constrained nonlinear optimization problems. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach.

A barrier method for constrained nonlinear optimization using a modified Hopfield network

The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter estimation problems for nonlinear model with unknown-but-bounded errors and uncertainties. This problem can be represented by a typical constrained optimization problem. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach.

Produtividade Científica dos docentes da Universidade Estadual Paulista, câmpus de Assis/SP

In this work, we analyzed the scientific bibliographic productivity of the Faculdade Ciências e Letras de Assis, Universidade Estadual Paulista (FCLAs-UNESP). We evaluated the scientific productivity of Professors using data retrieved from the Lattes Plataform database (Curriculum Lattes), ISI Web of Science and SCOPUS, books published, chapter of the books published and academic advisory (Master's Thesis and Ph.D. Thesis). Bibliometric evaluations of departments showed a better performance of the total number of papers (indexed in Curriculum Lattes database) by Literature Department (P < 0.05) when compared to Modern Languages Department. The Biological Sciences Department had means higher of the papers indexed by SCOPUS (P < 0.05) and ISI (P < 0.05) when compared to others departments. We also observed that the low h-indexes (P< 0,05) in the humanities areas is result of traditional mode of communication in this area of knowledge, which makes more use of books and proceedings of meetings when compared to natural sciences. These publications are not covered by ISI and SCOPUS. The graduate programs in History and Languages presented means higher of academic advisory (Master's Thesis and Ph.D. Thesis) because are graduate programs consolidated in the 1970's.