Context-aware systems, such as in-car infotainment systems, aim at improving the interaction between computers and humans by using contextual information about the system, the user and the environment. Previous work has shown that ontologies have significant benefits for modeling such context-aware systems, e.g., when inferring knowledge. However, the potential performance impact on the overall...

New mobile computing technologies and the increasing use of portable devices have pushed the development of the so-called context-aware applications. This new class of applications aims at improving human-computer interactions by supporting dynamic adaptations according to context changes. This paper discusses the suitability of using ontologies for modeling context information and presents the...

We describe the application of our collaboration-oriented software engineering approach for the design of trust-aware systems. In this model-based technique, a specification does not describe a physical system component but the collaboration between various components which achieve system functions by cooperation. A system model is composed from these collaboration specifications and, by a set ...

here is a growing use of context-awareness techniques for developing pervasive computing applications. These methods are flexible, adaptable, and capable of acting autonomously on behalf of the users. The overall goal is to develop evolvable context-aware applications. A good context information modeling formalism reduces the complexity of context-aware applications and improves their maintaina...

Context-aware applications adapt their behavior based on changes of the physical world, which is often obtained with a huge amount of sensors. Thus, the development of such applications is cumbersome, in particular the implementation of their often complex control flow. To ease the development of context-aware applications we present the concept of context-aware workflows. Thereafter we present...

nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...

Nowadays, Model Driven Software engineering (MDSD) is a very dynamic field of research. This approach has introduced a major evolution to software engineering. Nevertheless the full code generation always stays a not reached objective. On the other side the simultaneous use of Context Aware Computing (CAC) and Service Oriented Computing (SOC) paradigms must raise many challenges. Particularly, ...

We explore the potential of using keyword-aware language modeling to extend the ability of trading higher false alarm rates in exchange for lower miss detection rates in LVCSRbased keyword search (KWS). A context-dependent keyword language modeling method is also proposed to further enhance the keyword-aware language modeling framework by reducing the number of false alarms often sacrificed in ...