The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
—Recent developments have shown the possibility of leveraging silicon nanophotonic technologies for chip-scale interconnection fabrics that deliver high bandwidth and power effi...
Johnnie Chan, Gilbert Hendry, Aleksandr Biberman, ...
— This paper proposes a novel nonlinear modulating function approach for generating n−scroll chaotic attractors based on a general jerk circuit. The systematic nonlinear modula...
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
One of the more tedious and complex tasks during the specification of conceptual schemas (CSs) is modeling the operations that define the system behavior. This paper aims to simpl...