Caracterização e controle de colletotrichum spp. em seringueira (Hevea brasiliensis)

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Controle do percevejo castanho (Scaptocoris castanea Perty, 1830 (Hemiptera: Cydnidae)) na cultura da soja (Glycine max (L.) Merrill)

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Efeito de tratamentos da superfície de união e materiais reembasadores na resistência ao impacto de resina para base de prótese

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Resistência à flexão, resistência à tração diametral e dureza de sistemas cerâmicos para infra-estrutura

Pós-graduação em Reabilitação Oral - FOAR

Influência do método de processamento na resistência à flexão, tração diametral e dureza dos sistemas cerâmicos

Pós-graduação em Reabilitação Oral - FOAR

Análise extensométrica de cargas estáticas axiais e não axiais em próteses implantossuportadas de três elementos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo das microdeformações geradas ao redor de implantes de hexágono interno com roscas convencionais e implantes com platôs, sob a aplicação de carga vertical

Pós-graduação em Odontologia Restauradora - ICT

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).

Componentes principais na elaboração de índices de provas de desempenho em bovinos

The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.

Fatores relacionados com a produtividades de ovos de avestruzes (Struthio camelus)

Pós-graduação em Medicina Veterinária - FMVZ

Tratamento de águas residuárias por alagados construídos de fluxo subsuperficial horizontal, utilizando Vetiver (Chrysopogon zizanoides L.): avaliação e desempenho de três leitos distintos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Produção de gladíolo em função da aplicação de nitrogênio e ethiltrinezapac

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo numerico da convecção natural e forçada em cavidades tridimensionais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Biodiversidade de caranguejos Braquiúros (Cristacea: Decapoda) associada ao cultivo comercial de mexilhão Pena perna (Linnaeus, 1758) (molusca: Bivalvia) no litoral norte do estado de São Paulo

Pós-graduação em Ciências Biológicas (Zoologia) - IBB

Estrutura e dinâmica da comunidade de caranguejos braquiúros e porcelanídeos(Crustacea, Decapoda) do sublitoral consolidado da região da Ilha da Vitória, Ilhabela, litoral Norte do Estado de São Paulo, Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)