Forecast Method
Mostrando 1-12 de 87 artigos, teses e dissertações.
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1. Contribution to the forecast of horizontal displacements in continuous fight auger piles in granular soil profile
Abstract This article presents a series of propositions for the prediction of horizontal displacements for continuous fight auger piles in granular soil profiles through modifying the parameters Ay and By from the method proposed by Matlock and Reese (1961). Empirical proposals were also presented for calculating the horizontal soil reaction coefficient (nh)
REM - International Engineering Journal. Publicado em: 2022
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2. Evaluation of a rat model of exercise-induced fatigue using treadmill running with progressively increasing load
Abstract: The mechanism behind exercise-induced fatigue is a significant topic in the field of sports physiology. Therefore, establishing and evaluating an acute exercise-induced fatigue animal model that explores the limits of the motor system may provide greater insight into these mechanisms. Heart rate is an important quantitative parameter that accuratel
An. Acad. Bras. Ciênc.. Publicado em: 02/12/2019
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3. Análise da assistência farmacêutica no planejamento: participação dos profissionais e a qualificação da gestão
Resumo Introdução O desenvolvimento da assistência farmacêutica, assim como de todas as áreas de atuação do SUS, é de responsabilidade das três instâncias gestoras (municipal, estadual e federal) e, nesse contexto, é fundamental a participação dos atores responsáveis pela sua gestão no planejamento da previsão de recursos orçamentários pr�
Cad. saúde colet.. Publicado em: 03/10/2019
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4. Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil
RESUMO Neste trabalho, o método de assimilação de dados por filtro de Kalman por conjunto (EnKF) é aplicado na bacia do rio Tocantins. Esse método atualiza as vazões do rio usando um modelo hidrológico distribuído. O desempenho de EnKF é também comparado com um método de assimilação empírico a intervalos de tempo horário, onde duas aplicaçõ
RBRH. Publicado em: 04/04/2019
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5. Evaluation of an iron ore price forecast using a geometric Brownian motion model
Abstract Mining projects are often budgeted in millions of dollars, making it of interest to the investor to measure a project’s uncertainties and risks, which include the changes in the commodity price. The simulation of asset prices is valid because it enables displaying, with a degree of certainty, the future behavior of a financial asset. One of the mo
REM, Int. Eng. J.. Publicado em: 2019-03
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6. The use of intervention analysis of the mortality rates from breast cancer in assessing the Brazilian screening programme
Abstract Introduction There is a need to develop methods to evaluate public health interventions. Therefore, this work proposed an intervention analysis on time series of breast cancer mortality rates to assess the effects of an action of the Brazilian Screening Programme. Methods The analysed series was the monthly female breast cancer mortality rates f
Res. Biomed. Eng.. Publicado em: 08/11/2018
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7. Electric power load in Brazil: view on the long-term forecasting models
Abstract Paper aims This paper aims to discuss how the energy load forecasts used by the System Operator and the main agents of the sector are made, and for what purposes, besides discuss the forecast deviations of the ONS’s and EPE’s models and their consequences and costs to the agents involved. Originality Fill a gap in the Brazilian literature wh
Prod.. Publicado em: 08/10/2018
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8. REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
ABSTRACT: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs) for the northern region of São Paulo state, Brazil. Therefore, this aimed to predict the reference
Eng. Agríc.. Publicado em: 2017-12
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9. Estimating the Time-Dependent Performance of Nanocatalysts in Fuel Cells Based on a Cost-Normalization Approach
Researchers have developed new catalysts for fuel cells (FC), whose performances are compared after applying different normalization procedures. However, there is not a standard procedure. The current produced from CO electrooxidation was compared for Pt4Ru5Sn1/C and homemade Pt/C nanoparticles (NPs) normalized by different methods and the use of different m
J. Braz. Chem. Soc.. Publicado em: 2016-11
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10. Correlation maps to assess soybean yield from EVI data in Paraná State, Brazil
ABSTRACT Vegetation indices are widely used to monitor crop development and generally used as input data in models to forecast yield. The first step of this study consisted of using monthly Maximum Value Composites to create correlation maps using Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor mounted on Ter
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-10
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11. ARTIFICIAL NEURAL NETWORK AND WAVELET DECOMPOSITION IN THE FORECAST OF GLOBAL HORIZONTAL SOLAR RADIATION
This paper proposes a method (denoted by WD-ANN) that combines the Artificial Neural Networks (ANN) and the Wavelet Decomposition (WD) to generate short-term global horizontal solar radiation forecasting, which is an essential information for evaluating the electrical power generated from the conversion of solar energy into electrical energy. The WD-ANN meth
Pesqui. Oper.. Publicado em: 2015-04
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12. The Prediction of the Man-Hour in Aircraft Assembly Based on Support Vector Machine Particle Swarm Optimization
ABSTRACT: As the representative of manufacturing industry, aircraft assembly lacks of effective method to forecast man-hour. The forecasting accuracy of existing methods is universally pretty low. On the basis of full analysis of aircraft assembly's feature, this study proposes a forecasting model based on support vector machine (SVM), which is optimized by
J. Aerosp. Technol. Manag.. Publicado em: 2015-03