This paper addresses the refinement and testing of a simple downwelling longwave radiation model. Oklahoma atmospheric surface-layer instrumentation system (OASIS) radiation data in combination with Oklahoma Mesonet weather data were used to evaluate various techniques for estimating downwelling longwave radiation, for daytime and nighttime as well as clear and cloudy skies. The Brutsaert [Wate...

The piano key weir (PKW) is a type of nonlinear control structure that can be used to increase unit discharge over linear overflow weir geometries, particularly when the weir footprint area is restricted To predict the outflow passing over a piano key weir, the discharge coefficient in the general equation of weir needs to be known. This paper presents the results of laboratory model testing of...

We develop and validate a medium-term solar irradiance forecasting model by adopting predicted meteorological variables from the US National Weather Service’s (NWS) forecasting database as inputs to an Artificial Neural Network (ANN) model. Since the inputs involved are the same as the ones available from a recently validated forecasting model, we include mean bias error (MBE), root mean square...

We developed and validated a pseudo-range correction (PRC) modeling system that can prevent degradation of positioning accuracy even in situations where one cannot obtain PRC messages for Differential Global Navigation Satellite System (DGNSS). A PRC modeling scheme was devised based on the repeat time of GNSS satellites and previously-collected PRC data. The difference between the modeled and ...

The design of an antenna requires a careful selection its parameters to retain the desired performance. However, this task is time-consuming when traditional approaches are employed, which represents significant challenge. On other hand, machine learning presents effective solution challenge through set regression models that can robustly assist designers find out best achieve intended In paper...

Accurately forecasting wind speed on a short-term scale has become essential in the field of power energy. In this paper, multi-variable long memory network model (MV-LSTM) based Pearson correlation coefficient feature selection is proposed to predict speed. The method utilizes multiple historical meteorological variables, such as speed, temperature, humidity, and air pressure, next hour. Hourl...

––In this Paper, Optimization of error is considered using power adaptation algorithm while transmission is carried out The Maximum Power Adaptation algorithm(MAPAA) is based on updating the amount of power transmitted for each bit according to its importance in the image quality as measured by the mean-square error. This Maximum Power Adaptation Algorithm is used to find the optimum power dist...

erosion and sediment movement phenomena are one of the most complex issues in management of rivers drainage areas that in water projects are very important. that its measurement wants high time and cost. issue of surface runoff in river basin is a complex issue that human knowledge and understanding about its physical laws a viewpoint of some mathematical formulas is limited. in this study to i...