Estimativa da composição gasosa em embalagem de atmosfera modificada contendo mangas (mangifera indica l.) Cv. Keitt

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema inteligente para la selección de brocas de perforación de pozos

The present work begins with a review of the literature on bit selection methods for oil well drilling. A proposal for the structure and organization of a drilling database and a knowledge base, is described. Previous studies formed the principal elements in the process of selection of drills for proposed drilling. The procedure was implemented as a computer system for the selection of tricone bits. A drilling bit database for three different Brazilian sedimentary basins was obtained for several wells drilled, and knowledge was collected from drilling engineers from different fields both electronically and also by means of interviews. It can be concluded that the selection process showed good results based on tests, which were carried out.

Aderência e formação do biofilme por Staphylococcus aureus ao polietilenotereftalato (PET) usado como embalagem para acondionamento de medicamentos e cosméticos

The polyethylene terephthalate (PET) is used for package drugs and cosmetics. The aim of this research was examine by scanning electron microscopy (SEM) a Staphylococcus aureus attachment and biofilm formation on a polyethylene terephthalate (PET) surface and hydrophobicity of S. aureus by adherence to hydrocarbons. A suspension of S. aureus was prepared in Mueller-Hinton broth and, coupons of polyethylene terephthalate were incubated for 30 minutes, two, 24 and 48 hours, 15 and 30 days. Afteron the coupons were removed and prepared for scanning electron microscope analysis. The attachment and biofilm formation was observed on the surfaces of PET. The SEM revealed adhesion and biofilm formation on PET surfaces. The hydrophobicity test classified S. aureus as hydrophobic.

Sistema inteligente híbrido intercomunicativo para detecção de perdas comerciais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estudo de uma ferramenta computacional inteligente para auxiliar a análise de ensaios de impulsos atmosféricos em transformadores de distribuição

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Embalagem para produtos da fruticultura: uma reflexão em torno de norma, matéria, forma e uso das embalagens para fruticultura na sociedade contemporânea

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise e proposta de elaboração de rótulo de embalagem de agrotóxicos (herbicida) por meio de metodologia de design ergonômico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Design de embalagem: a legibilidade pelo usuário idoso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Racionalização da energia elétrica com aplicação da legislação tarifária em indústria de embalagem plástica

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Qualidade microbiológica de rações para cães comercializadas no varejo em embalagem fechada e a granel

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conservação de abacaxi e mamão minimamente processados: associação entre o preparo, a embalagem e a temperatura de armazenamento

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

SIRCo: uma arquitetura para Sensoriamento Inteligente de Rádios Cognitivos

The increased demand for using the Industrial, Scientific and Medical (ISM) unlicensed frequency spectrum has caused interference problems and lack of resource availability for wireless networks. Cognitive radio (CR) have emerged as an alternative to reduce interference and intelligently use the spectrum. Several protocols were proposed aiming to mitigate these problems, but most have not been implemented in real devices. This work presents an architecture for Intelligent Sensing for Cognitive Radios (ISCRa), and a spectrum decision model (SDM) based on Artificial Neural Networks (ANN), which uses as input a database with local spectrum behavior and a database with primary users information. For comparison, a spectrum decision model based on AHP, which employs advanced techniques in its spectrum decision method was implemented. Another spectrum decision model that considers only a physical parameter for channel classification was also implemented. Spectrum decision models evaluated, as well as ISCRa's architecture were developed in GNU-Radio framework and implemented on real nodes. Evaluation of SDMs considered metrics of: delivery rate, latency (Round Trip Time - RTT) and handoff. Experiments on real nodes showed that ISCRa architecture with ANN based SDM increased packet delivery rate and presented fewer frequency variation (handoff) while maintaining latency. Considering higher bandwidth as application's Quality of Service requirement, ANN-SDM obtained the best results when compared to other SDM for cognitive radio networks (CRN).

Implementação em hardware de um sistema inteligente para detecção de plantas daninhas em plantações de soja utilizando máquinas de vetores de suporte e redes neurais artificiais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema inteligente para previsão de carga multinodal em sistemas elétricos de potência

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)