parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...

in this research, four different positioning methods were compared in order to evaluate their accuracy, using a remotely controlled robot on a specific route. these methods included: using a single gps module, combining the data from three gps modules, using an inertial measurement unit (imu), and gps/imu data fusion. the comparison of these four methods showed that gps/imu data fusion along wi...

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

crop simulation models are increasingly used in agriculture. these models help in saving time and expenses. the objective of this study was to evaluate cropsyst model in predicting development, growth and yield of wheat cultivars from golestan province. to do this, experimental data from different experiments were gathered for kohdasht, shiroodi, tajan and zagros. model performance in simulatin...

In the applications of solar energy, the solar radiation data and their components in a region must be known for the design of a system. In the locations where no solar radiation data is available, this parameter can be determined by performing a reasonable correlation. In the study, the models of global solar radiation on the horizontal surface in the literature are investigated, and new empir...