As the number of man-made Earth-orbiting objects increases, satellite operators need enhanced space traffic management capabilities to ensure safe operations. For in Low Earth orbit, orbit determination and prediction require accurate estimates local thermospheric density. In previous work, estimation densities using two-line element data a reduced-order model for upper atmosphere was demonstra...

Abstract Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, large number of and models convolution neural networks (CNN) have been published the last few years. These achieved good accuracy over benchmark datasets. However, attempts to improve often lead higher complexity these models. In real-time video surveillance appl...

The advancement of power technology and the improvement people’s living standards promote expansion grid scale sharp rise in electricity consumption. In system, due to use various sensors, we can collect a large number data (eg. spatial-temporal information electric vehicle charging). Usually, such is generated form stream. analysis mining be widely applied equipment condition monitoring...

Scheduling decisions in time-critical systems are very difficult, due to the vast number of systems’ parameters and tasks’ attributes involved in such decisions. Due to the intractability of the problem, time-critical systems often have to resort to heuristic techniques. Value-based scheduling heuristics have been found in the literature to experience a more graceful degradation under overload ...

We present the extension of Frozen Density Embedding (FDE) formulation of subsystem Density Functional Theory (DFT) to real-time Time Dependent Density Functional Theory (rt-TDDFT). FDE is a DFT-in-DFT embedding method that allows to partition a larger Kohn-Sham system into a set of smaller, coupled Kohn-Sham systems. Additional to the computational advantage, FDE provides physical insight into...