Modelos agrometeorológicos para previsão de atributos de qualidade em laranjas 'Valência' para o estado de São Paulo

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Metas de inflação no Brasil (1999-2012): uma análise institucional

The paper shows the advantages and handicaps of implementing an inflation target (IT) regime, from post-keynesian and institutional stances. It is post-keynesian as long as it does not perceive any benefit in the mainstream split between monetary and fiscal policies. And it is institutional insofar as it shows there are several ways of implementing a policy, such that the chosen one is determined by historical factors, as illustrated by the Brazilian case. Thus, one could even support IT policies if their targets were seen just as “focusing devices” guiding economic policies, but also regarding with due attention other targets, as, in the short run, output growth and employment and, in the long run, technology and human development. Therefore, an IT is not necessary, although it can be admitted, mainly if the target is hidden from the public, in order to increase the flexibility of the central bank.

O regime de metas de inflação no Brasil: uma análise empírica do IPCA

Inflation targeting regime is a monetary policy adopted by several countries in the 1990s, Brazil being among them, which adopted it in 1999 after a currency crisis. With a theoretical framework inspired by the new-classical theory, this regime is adopted by countries attempting to achieve price stability and it brings the prior announcement of a numerical target for inflation as a key feature. The present work aims at discussing the use of IPCA (Consumer Price Index) as a measuring index for Brazil's inflation after briefly explain the theoretical basis of the IT regime.

Desenvolvimento, validação, avaliação da incerteza de medição e análise de custos de método baseado em espectroscopia no infravermelho e análise multivariada para previsão de parâmetros de qualidade de amostras de E85

Pós-graduação em Química - IQ

Desenvolvimento de uma rede neuro-fuzzy para a previsão da carga

Pós-graduação em Engenharia Elétrica - FEIS

Modelos agrometeorológicos estatísticos de previsão de produtividade e qualidade para cana-de-açúcar

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Vibração incidente sobre o corpo inteiro do operador de trator agrícola ensaiado em pista de vibração com diferentes lastros, velocidades e pressões de inflação dos pneus

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

Previsão de demanda para peças de reposição de alto giro: aplicação de método descritivo simples comparado com o modelo suavização exponencial

O estudo de métodos de previsão de demandas é um conceito bastante popular, mas nem sempre seus resultados são facilmente aplicáveis nas organizações por várias limitações. O propósito deste artigo é apresentar um método simples e descritivo para a previsão de demanda para peças de reposição de alto giro e comparar os resultados com o modelo de suavização exponencial. Foi utilizado para isto, dados reais de consumo de uma empresa de geração de energia em dois anos com a mesma condição de contorno, e estabeleceu-se o ano de 2012 com a série de aplicação dos métodos e a série de 2013 com a série de validação dos resultados e em todas as amostras tomadas observou-se um menor erro quadrático RMSE, a favor do método descritivo simplificado. Todas as quatro séries analisadas se caracterizam pela alta dispersão dos dados, e não possuem tendências e sazonalidades.

Consumo de combustível de um trator agrícola em função do tipo de soloe da pressão de inflação nos pneus utilizando o equipamento canteirador

Agricultural mechanization improved the efficiency of field operations by providing an increase in crop production. The intensified mechanization, however, has led to higher energy use mainly in the area of fuel consumption. The objective of this study was to compare the fuel consumption of tractors using two different tire pressures for two different types of soil during tillage with irrigated cotton in semi-arid regions. These tests were performed at the Maricopa Agricultural Center (MAC), an experimental farm belonging to The University of Arizona with a Case 4x2 TDA 88kW equipped with an autopilot system. The results showed lower fuel consumption using a tire pressure of 124 kPa on sandy clay loan soil.

Consumo de combustível de um trator agrícola no preparo do solo para a cultura do algodão irrigado em função da pressão de inflação nos pneus

Currently, the efficiency in field operations and the increased productivity of crops is only possible with the use of agricultural machinery and equipment. This intensification of mechanized activities in agriculture, however, led to higher energy costs on farms mainly in the fuel consumption of agricultural tractors. The objective was to compare the fuel consumption of a tractor on tillage operations for irrigated cotton in semi-arid region varying two tire inflation pressures. The tests were conducted in Maricopa Agricultural Center (MAC), an experimental farm belonging to The University of Arizona using a 4x2 TDA Case tractor equipped with a 88kw autopilot system. The results showed lower values in the hourly fuel consumption by using the minimum tire inflation pressure of 124 kPa for all tillage equipment used.

Modelos agrometeorológicos para previsão da produtividade e qualidade de bebida natural do cafeeiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelos de previsão de ocorrência de adultos de diatraea saccharalis (Fabricius, 1794) (Lepidoptera: Crambidae) em cana-de-açúcar (Saccharum spp.)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model