Uma proposta de desenvolvimento de laboratório remoto de automação e acionamento de máquinas elétricas para uso didático, utilizando software open source

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Implementação de uma plataforma HW/SW para automação industrial, utilizando hardware reconfigurável com processador NIOS II em conformidade com o padrão IEEE 1451

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Java applets para um software educacional distribuído em eletrônica de potência

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Serviço de Referência Virtual via chat: uma análise comparativa em bibliotecas universitárias norte-americanas e brasileiras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Serviço de referência virtual via chat: uma análise comparativa em bibliotecas universitárias norte-americanas e brasileiras

Pós-graduação em Ciência da Informação - FFC

Influência de software de otimização de corte no rendimento de serraria da região sudoeste paulista

This study aimed to analyze the increase of yield provided by a software optimization cutting in a pine sawmill, located at southwest region of São Paulo, city of Itapeva. First were measured 10 logs that were processed by conventional sawing system by measuring the volume of products in the process output. Then using a cutting optimization software, that generated cuts diagrams, 10 logs, from 25 to 26 cm diametrical class, were processed by sawing system optimized. For the conventional sawing, the value found to yield was 41.80%, whereas for the unfolding optimized showed the value of 61.79%, resulting in a difference of 19.99%. This study shows that there is room for significant improvement of performance in sawmills sawing with the use of optimization software as the employee at work

Reconhecimento de voz para aplicações em automação implementado em FPGA

In many movies of scientific fiction, machines were capable of speaking with humans. However mankind is still far away of getting those types of machines, like the famous character C3PO of Star Wars. During the last six decades the automatic speech recognition systems have been the target of many studies. Throughout these years many technics were developed to be used in applications of both software and hardware. There are many types of automatic speech recognition system, among which the one used in this work were the isolated word and independent of the speaker system, using Hidden Markov Models as the recognition system. The goals of this work is to project and synthesize the first two steps of the speech recognition system, the steps are: the speech signal acquisition and the pre-processing of the signal. Both steps were developed in a reprogrammable component named FPGA, using the VHDL hardware description language, owing to the high performance of this component and the flexibility of the language. In this work it is presented all the theory of digital signal processing, as Fast Fourier Transforms and digital filters and also all the theory of speech recognition using Hidden Markov Models and LPC processor. It is also presented all the results obtained for each one of the blocks synthesized e verified in hardware

Sistema de automação residencial controlado via rede doméstica

The present work develops a residential automation system controlled by PIC microcontroller connected to a domestic network using the TCP/IP protocol. This was motivated by the viability of building an automation system to control basic elements of a house with low cost, which cannot be found nowadays. Initially is presented a brief history of the automation systems and an introduction about PIC microcontrollers. Afterwards is presented an overview of the system to be implemented. Then it is shown a suggested circuit and the sensor and actuator elements as well as the software to manage the system, this was all build and test in the laboratory. In the end are the results obtained from the prototype, like the energy consumption, the cost, efficiency and reliability

Utilização de alvos codificados do tipo ARUCO na automação do processo de calibração de câmaras

This paper presents a proposal for the automation of the camera calibration process, locating and measuring image points in coded targets with sub-pixel precision. This automatic technique helps minimize localization errors, regardless of camera orientation and image scale. To develop this technique, several types of coded targets were analyzed and the ARUCO type was chosen due to its simplicity, ability to represent up to 1024 different targets and availability of source code implemented with the OpenCV library. ARUCO targets were generated and two calibration sheets were assembled to be used for the acquisition of images for camera calibration. The developed software can locate targets in the acquired images and it automatically extracts the coordinates of the four corners with sub-pixel accuracy. Experiments were conducted with real data showing that the targets are correctly identified unless excessive noise or fragmentation occurs mainly in the outer target square. The results with the calibration of a low cost camera showed that the process works and that the measurement accuracy of the corners achieves sub-pixel precision.

Indicadores de bibliotecas universitárias: criação de índice de desenvolvimento baseado em redes de conhecimento compartilhado

Pós-graduação em Ciência da Informação - FFC