in this research, data fusion (df) method was applied to simulate the hydrological process of taleghan reservoir daily inflow. two different df algorithms were proposed and assessed based on k-nearest neighbors (knn) algorithm. four artificial neural network models and two hammerstein-wiener (hw) models were used as the individual simulation models. comparison of the results between individual ...

Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...

We describe a sensor fusion algorithm based on a set of simple assumptions about the relationship among the sensors. Under these assumptions we estimate the common signal in each sensor, and the optimal fusion is then approximated by a weighted sum of the common component in each sensor output at each pixel. We then examine a variety of techniques to map the sensor signals onto perceptual dimen...

In this paper, a three-dimensional finite element model has been developed to simulate the laser-TIG hybrid welding (HLAW) of stainless steel 1.4418 with thickness of 4 mm. Transient temperature profile and dimensions of the fusion zone and heat affected zone (HAZ) during welding process are calculatedusing finite element method (FEM) and were solved in the ABAQUS/Standard software.The heat sou...

In order to develop a formal framework for data fusion field main data fusion models are observed and a logical model of data fusion is suggested. It is shown that considered data fusion models are representable in the logical model. The logical model being insufficiently general to compare different methods of data fusion is reformulated on category theory language. After that a number of info...