In this paper we investigate how to obtain high-level adaptivity on complex scientific applications such as Finite Element (FE) simulators by building an adaptive version of thei...
Software architecture, and its behavior can be expressed as UML models. Models of complex systems can be also complex and hard to read – they may consists of hundreds of artifact...
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Energy efficiency is a top requirement in embedded system design. Understanding the complex issue of software power consumption in early design phases is of extreme importance to m...
Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem; the wide ...