Context-aware systems represent extremely complex and heterogeneous distributed systems, composed of sensors, actuators, application components, and a variety of context processing components that manage the flow of context information between the sensors/actuators and applications. The need for middleware to seamlessly bind these components together is well recognised. Numerous attempts to bui...

The evolution of mobile technologies, like web-enable cellphones, PDAs and wireless networks, makes it now possible to use these technologies for collaborative work through web-based groupware systems. However, due to the limitations of these technologies, some adaptation is essential in these systems. In order to adapt their behaviour to the user’s context, groupware systems must be built as c...

Context-awareness enhances intelligent behaviors in pervasive computing environments, although it is still a great challenge to enable context-awareness due to lack of effective infrastructure to support context-aware applications. In this paper, we present an agent-based middleware called CAMPS for providing context-aware services for Smart Space in order to afford effective supports for conte...

A grammar-based code losslessly compresses each finite-alphabet data string x by compressing a context-free grammar Gx which represents x in the sense that the language of Gx is {x}. In an earlier paper, we showed that if the grammar Gx is a type of grammar called irreducible grammar for every data string x, then the resulting grammar-based code has maximal redundancy/sample O(log log n/ log n)...

In this paper a decoder for continuous speech recognition using stochastic context-free grammars is described. It forms the backbone of the ACE recognizer, which is a modular system for real-time speech recognition. A new rationale for automata is introduced, as well as a new model for pruning the search space.