2 research outputs found
Context petri nets : enabling consistent composition of context-dependent behavior
Ensuring the consistent composition of context-dependent behavior is a major challenge in context-aware systems. Developers have to manually identify and validate existing interactions between behavioral adaptations, which is far from trivial. This paper presents a run-time model for the consistency management of context-dependent behavior, called context Petri nets. Context Petri nets provide a concrete representation of the execution context of a system, in which it is possible to represent the interactions due to dynamic and concurrent context changes. In addition, our model allows the definition of dependency relations between contexts, which are internally managed to avoid inconsistencies. We have successfully integrated context Petri nets with Subjective-C, a context-oriented programming language. We show how our model can be cleanly combined with the abstractions of the language to define and manage context-dependent behavior
Actions to reduce the impact of construction products on indoor air: outcomes of the European project Healthy Air
The European project - HealthyAir is a network project involving six
institutions in Europe on actions and activities that address the effects of
construction products on indoor air. Different ways to improve indoor air
quality were reviewed, ranging from source control to education of occupants on
how to manage the built environment to achieve healthy and acceptable indoor
air. Through literature study, organised workshops with scientific experts and
building professionals as well as via interviews with three stakeholder groups:
producers of construction products, architects and housing corporations;
requirements for information, guidance and actions to improve indoor air quality
were identified. These requirements formed the basis of a possible approach to
improve indoor air quality: education and awareness, regulations and policies
and further research and development