Fragmentos dos trilhos na paisagem de São Paulo: os brownfields ferroviários e sua refuncionalização

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

Frequência alimentar para Tilápia do Nilo (Oreochromis niloticus) nas fases de reversão e pós-reversão sexual

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Evapotranspiração e coeficientes de cultura da melancieira irrigada por gotejamento em Alvorada do Gurguéia-PI

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de algoritmo para modelagem e simulação de sistemas por grafos de ligação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Automatização aplicada a lançadores de foguete de sondagem para compensação da influência dos ventos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Registro de radiografias periapicais para a técnica de subtração

Pós-graduação em Biopatologia Bucal - ICT

O desenvolvimento de uma base de dados léxico-conceitual bilíngue (inglês norte-americano/português brasileiro)

Para os sistemas computacionais que processam línguas naturais, como os de tradução automática, os recursos léxico-conceituais bilíngues ou multilíngues são de extrema importância. Consequentemente, o desenvolvimento de tais recursos tem ocupado lugar de centralidade no Processamento Automático das Línguas Naturais (PLN). Para o português do Brasil (PB), os recursos desse tipo ainda são escassos. Neste trabalho, apresenta-se REBECA, uma base de dados léxico-conceitual bilíngue desenvolvida para o par de línguas “inglês americano-PB” (Ingl-PB). Na introdução, contextualiza-se o projeto de desenvolvimento dessa base. Na sequência, apresentam-se (i) o equacionamento metodológico do projeto, enfatizando as atividades de pesquisa realizadas em cada uma das etapas previstas pela metodologia, (ii) a construção da base com o auxílio do editor de ontologias Protégé-OWL, (iii) as principais características e potencialidades da base REBECA e, por fim, (iv) as possíveis extensões e algumas considerações finais.

Detecção e localização de danos em materiais compósitos aplicado em aeronaves utilizando redes neurais artificiais

Pós-graduação em Engenharia Mecânica - FEIS

Efeitos da poluição atmosférica no sistema respiratório de indivíduos praticantes de exercício físico aeróbio em ambiente aberto e fechado

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desempenho de escolares de ensino público com e sem dificuldade de aprendizagem em habilidadefonológica, nomeação rápida, leitura e escrita

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

Ácidos orgânicos isolados ou associados em dietas de frangos de corte

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Sistema de iluminação inteligente através de redes de sensores wireless

The objective of this project is to collaborate with the society, working on a subject that is directly linked to issues of sustainability and environmental preservation. For this, a survey is being developed in order to make possible the creation of an intelligent mechanism, with the use of wireless solutions for the control of energy consumption in order to meet the needs of quality of life and reduce the average consumption of electrical energy. An intelligent lighting system can be explained simply, as an interconnected network of lamps in order to meet needs such as light intensity, the location of it, the moment will turn on or turn off the lights, among other possibilities. This network of lamps is controlled by algorithms implemented using microcontrollers, which may or may not have changed its characteristics. This can be automatic (pre-programmed by the administrator) or manual (controlled via a remote control, phones, etc.), and will depend upon the manager himself and also the characteristics imposed on the project. However, it is important to note that after the search is complete, decisions will be consistent with the Brazilian reality, ie, this system can only be feasible if it has all the characteristics described above, but with an affordable price so that people can acquire it

Um método para reconstrução de superfícies baseado em nuvem de pontos visando representações em multirresolução

The representation of real objects in virtual environments has applications in many areas, such as cartography, mixed reality and reverse engineering. The generation of these objects can be performed in two ways: manually, with CAD (Computer Aided Design) tools, or automatically, by means of surface reconstruction techniques. The simpler the 3D model, the easier it is to process and store it. Multiresolution reconstruction methods can generate polygonal meshes in different levels of detail and, to improve the response time of a computer program, distant objects can be represented with few details, while more detailed models are used in closer objects. This work presents a new approach to multiresolution surface reconstruction, particularly interesting to noisy and low definition data, for example, point clouds captured with Kinect sensor

Sistema biométrico de identificação de pessoas utilizando poros e minúcias de impressões digitais

The use of physical characteristics for human identification is known as biometrics. Among the many biometrics traits available, the fingerprint is the most widely used. The fingerprint identification is based on the impression patterns, as the pattern of ridges and minutiae, characteristics of first and second levels respectively. The current identification systems use these two levels of fingerprint features due to the low cost of the sensors. However, the recent advances in sensor technology, became possible to use third level features present within the ridges, such as the perspiration pores. Recent studies show that the use of third-level features can increase security and fraud protection in biometric systems, since they are difficult to reproduce. In addition, recent researches have also focused on multibiometrics recognition due to its many advantages. The goal of this research project was to apply fusion techniques for fingerprint recognition in order to combine minutia, ridges and pore-based methods and, thus, provide more robust biometrics recognition systems, and also to develop an automated fingerprint identification system using these three methods of recognition. We evaluated isotropic-based and adaptive-based automatic pore extraction methods, and the fusion of pore-based method with the identification methods based on minutiae and ridges. The experiments were performed on the public database PolyUHRF and showed a reduction of approximately 16% in the EER compared to the best results obtained by the methods individually

Contagem automatizada de veículos utilizando segmentação estatística

In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..