This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
A rapid design methodology for orthonormal wavelet transform cores has been developed. This methodology is based on a generic, scaleable architecture utilising time-interleaved co...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and provide performance guarantees in cluster computing environments, various real...
Xuan Lin, Ying Lu, Jitender S. Deogun, Steve Godda...
Abstract. A Sentient Computing environment is one in which the system is able to perceive the state of the physical world and use this information to customise its behaviour. Mobil...
When designing a complex system, Object-Z is a powerful logic-based language for modeling the system state aspects, and Timed Automata is an excellent graph-based notation for cap...