نتایج جستجو برای: speed prediction modeling
تعداد نتایج: 813097 فیلتر نتایج به سال:
Accurate speed prediction is a crucial step in the development of a dynamic vehcile activated sign (VAS). A previous study showed that the optimal trigger speed of such signs will need to be pre-determined according to the nature of the site and to the traffic conditions. The objective of this paper is to find an accurate predictive model based on historical traffic speed data to derive the opt...
Gait Speed improves EuroSCORE II prediction Felipe B de Salles, Omar AV Mejía, Luiz AF Lisboa, Kalil H Khalil, Luís RP Dallan, Luís AO Dallan, Fábio B Jatene, Marco AP Oliveira, Gustavo I Judas, Sergio A de Oliveira, Orlando Petrucci, Rubens T de Barros, Marcos G Tiveron, Valquíria Campagnucci, Felipe Machado, Amauri Groppo, Rafael Tinelli, Roberto Rocha e Silva, Alfredo Rodrigues, Walter Gomes...
Wind energy has become a main challenge of conventional relic fuel energy, chiefly with the flourishing operation of multi-megawatt sized wind turbines. Though, wind with sensible speed is not sufficiently sustainable all over to construct an inexpensive wind farm. The probable site has to be systematically investigated at least with respect to wind speed profile and air density. Modelling and ...
present study is an extension of earlier work carried out on two-lane two way roads in the two provinces of pakistan i.e. n-25, n-55 and n-5 regarding the measure of operating speed and development of operating speed prediction models. curved sections of two-lane rural highways are the main location of run-off road accidents. in addition to that the road alignment having combination of geometri...
this study was performed with objective land cover change prediction (forest, agriculture, residential and orchard) using logistic regression and markov chain in the gis environment in east of mazandaran province. land cover change detected using satellite imageries belonging to the years 1987 and 2001. transition potential modeling was conducted using a logistic regression. seven variables (de...
A multilayered artificial neural network has been used for predicting the mean monthly wind speed in regions of Cyprus where data are not available. Data for the period 1986-1996 have been used to train a neural network, whereas data for the year 1997 were used for validation. Both learning and prediction were performed with adequate accuracy. Two network architectures of the similar type have ...
This paper presents a hybrid neural network approach to predict wind speed automatically in renewable energy systems. Wind energy is one of the renewable energy systems with lowest cost of production of electricity with largest resources available. By the reason of the fluctuation and volatility in wind, the wind speed prediction provides the challenges in the stability of renewable energy syst...
For accurate and efficient use of wind power, it is important to know the statistical characteristics, availability, diurnal variation, and prediction of wind speed. Prediction of wind power permits the scheduling of the connection or the disconnection of wind turbines to achieve optimal operating costs. In this paper, a simple and accurate method for predicting wind speed based on weather-sens...
Spectrum mobility as an essential issue has not been fully investigated in mobile cognitive radio networks (CRNs). In this paper, a novel support vector machine based spectrum mobility prediction (SVM-SMP) scheme is presented considering time-varying and space-varying characteristics simultaneously in mobile CRNs. The mobility of cognitive users (CUs) and the working activities of primary users...
Several methods are available for performance prediction of single phase shaded pole induction motors. A simple model, in conjunction with a more complicated and accurate model, which considers the asymmetrical windings and core loss, is used to compare the prediction methods against experimental results. Saturation is incorporated in the model. Fundamental and harmonic flux density wave distri...
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