State machines can be used to specify the behaviour of objects in a system by describing the relationships between the states of the object and its ability to respond to events pr...
A new approach is proposed to translate existing software programs from one instruction set to other instruction sets at the level. The behaviors of instructions are abstractly re...
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Synchronous Dataflow (SDF) is a powerful analysis tool for regular, cyclic, parallel task graphs. The behaviour of SDF graphs however is static and therefore not always able to ac...
A state/event model is a concurrent version of Mealy machines used for describing embedded reactive systems. This paper introduces a technique that uses compositionality and depend...