The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Functional correctness is a vital attribute of any hardware design. Unfortunately, due to extremely complex architectures, widespread components, such as microprocessors, are often...
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
— In this paper, a novel switching controller is proposed for a networked visual servo control system with varying feedback delay due to image processing and data transmission. T...
- Due to the increasing complexity of scientific models, large-scale simulation tools often require a critical amount of computational power to produce results in a reasonable amou...