Análise multivariada na determinação do risco de erosão em solos sob irrigação

The objective of this work was to verify the application of cluster analysis to evaluate soil erosion risk for different soil classes, soil slopes and soil managements. The study was conducted in a 33 ha section of a large field located in Carmo do Rio Claro County, MG, Brazil. The field had been managed in a corn/bean rotation under conventional tillage and under coffee plantation for seven years, both under sprinkle irrigation. Soil samples were obtained at every 10 m at 0.20 m depth along a transect of 1050 m. Soil erosion risk (A), natural potential erosion (PN), and erosion expectation (EE) were determined and submitted to a cluster and principal component analysis. The application of clustering analysis showed high correlation between the clusters and soil types. With clustering analysis plus principal components analysis, it was possible to identify groups of high and low soil erosion expectation, showing that the areas with higher soil erosion expectation are correlated to the soil class, soil slope and soil management. Among the studied variables, the natural potential erosion (PN) showed to be the most important factor to identify different soil erosion groups. The cluster analysis showed that 98% of the variables were classified within each group, and that they should be managed differently due to the soil erosive potential of each group,.

Análise multivariada de microbacias em relação ao tipo de solo

The objective of this work was to study the dimensional parameters of the drainage net using 12 third-order ramification hydrological watersheds: 4 watersheds per soil unit (LVA, RL and RQ). The soil distinction was realized using ''t'' test to verify the orthogonal contrast among three soil averages and the grouping analysis and mean components. The results showed that the multivariance analysis was not able to discriminate three soils using the dimensional analysis. The t test of this isolated variable allowed discriminating RQ soil from LVA and RL soil units; but it was not sensitive to discriminate the LVA soil and RL unit.

Desenvolvimento, rendimento, teor e componentes do óleo essencial em função de adubação orgânica e rebroto de Baccharis trimera (Less.) DC. cv. CPQBA-1

Pós-graduação em Agronomia (Horticultura) - FCA

Modelos para estimação de componentes de (co)variância para produção de leite no dia do controle de vacas da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização de germoplasma de pupunha (Bactris gasipaes Kunth) por descritores morfológicos

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Modelos para estimação de componentes de (co)variância para pesos do nascimento à idade adulta de animais da raça Nelore

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

Análise bidimensional dos efeitos das descargas atmosféricas em cabos OPGW utilizando o método ADI-FDTD

Neste trabalho é analisado o comportamento da densidade de corrente em cabos OPGW quando submetidos a descargas atmosféricas. Para esta análise, foram aplicados dois modelos de corrente, uma vez que a descarga atmosférica tem duas componentes principais que causam mais danos aos cabos em geral: a componente impulsiva e a componente contínua. O método numérico utilizado para as simulações computacionais é o método ADI-FDTD (Diferenças Finitas no Domínio do Tempo de Direções Alternadas Implícitas), o qual é truncado pela técnica CPML (Convolutional Perfectly Matched Layers). Com base no comportamento da corrente no cabo, é feita uma avaliação para determinar qual das duas componentes de descarga atmosférica pode causar mais danos aos cabos OPGW.

Gestão de estoque no setor de varejo calçadista: abordagem via análise multivariada e teoria do controle ótimo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise e redução de custos e peso em veículo rodoviário de carga reboque linha de eixos

Load transportation in brazilian territory is made difficult by a deficient highway network, result of low maintenance and lack of government supervision. The problem aggravates when we consider the transportation of indivisible loads, mainly because the brazilian highways are not prepared for such task and few companies in Brazil have the necessary equipment suited for this kind of transport. In this dissertation it will be shown the analysis of a specific equipment to transport overweight indivisible loads, called hydraulic modular multi axle trailer. From an existing project (RB.04LE-01), manufactured and homologated in Brazil, it has been studied how the components in this trailer work so it could have been possible to elaborate a new model (RB.04LE-02), with two main objectives: reduction of costs and weight with subsequent increase in the liquid load for roadway transportation. The trailer’s components analyses were made utilizing the theory of fatigue strength of materials and finite element method with the von Misses criteria for a more safety when realizing the calculations

Técnicas de análise multivariada com aplicações a dados de natureza biológica

A análise estatística multivariada, extensão da análise univariada, consiste num conjunto de técnicas estatísticas, aplicadas quando há diversas variáveis relacionadas simultaneamente, sendo todas elas, em princípio, consideradas importantes no fenômeno em estudo. É de grande aplicação a conjuntos de dados das mais diversas áreas do conhecimento, principalmente da área biológica. Seu desenvolvimento teve um grande impulso na primeira metade do século passado. Entretanto, devido a complexidade dos cálculos matemáticos, principalmente envolvendo operações com matrizes de altas ordens, as aplicações somente se popularizaram nos dias atuais, com o desenvolvimento dos computadores e aplicativos computacionais. Técnicas estudadas: distâncias multivariadas, componentes principais, análise fatorial, correlações canônicas, análise de correspondência, teste t² de Hotelling, análise de variância multivariada (Manova), teste de normalidade multivariada, igualdade de matrizes de variâncias e covariâncias para populações multinormais

Definição de um modelo de análise de sucesso das empresas baseado em índices contábeis e na análise multivariada

The objective of this paper is to relate the set of financial ratios that are directly related to the success of public traded companies using a methodological approach and the method of multivariate principal component analysis. This study consists in the use of profitability ratios, debt and liquidity, to define the relationship between financial ratios with the best public traded companies listed in the magazine Exame Melhores e Maiores of 2013. Multivariate analysis was used to reduce the dimensionality of multivariate data, making linear combinations of the original variables (financial ratios) and express the data in principal components that result in new variables that contains much of the original data. As a result, we got the optimal number of five principal components, and both represent 95.6% of the original data. Among of all financial ratios, we can highlight the direct relationship between profitability ratios for the first principal component, and the direct relationship between the liquidity ratios, both inversely related with non-capital participation rates and degree indebtedness to the second principal component

Aplicação da análise fatorial em cidades do Vale do Paraíba considerando os objetivos do milênio

Pós-graduação em Engenharia Mecânica - FEG

Atributos do solo e componentes produtivos da soja: Uma abordagem linear, multivariada e geoestatística

Pós-graduação em Agronomia - FEIS

Composição fenólica das partes comestíveis das uvas BRS Carmem e BRS Magna

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise multivariada das atividades científicas e técnicas no processo de adoção de inovação em empresas sucroenergéticas do centro-oeste do estado de São Paulo

The primary objective of this study was to verify the existence of internal organization and processes influencing the decisions on adoption, choice, justification and implementation of innovative practices of scientific and technical activities undertaken in the elaborates of sugar, ethanol and energy companies of the midwest of the state of Sao Paulo. Using multivariate analysis of principal components and clusters, the variables were analyzed and the companies, classified. The taxonomy model adapted to contemporary situations described by Freeman (1975), was the 'parameter used with research information in personal interviews by semi-structured questionnaires. The investigated activities constituted of: basic research; applied research; experimental development; scientific and technical information; long-term planning. The variables analyzed were: production processes, operating systems, development of new products, projects and implementation of pilot plant for new products, development, knowledge, studies of other business segments, number of innovations, and the number of existing employees in the organizational structure for these purposes. It was concluded that the best companies with innovative attitudes are those that have incorporated into their organizational the structures, practices and techniques of scientific activities.