Sentence examples for device and environment from inspiring English sources

A number of inference rules have been developed to operate on perceived device and environment atomic context elements to achieve this goal.

The result of the reasoning process is a set of extracted metadata used for learning services discovery and adaptation based on system-centric context (i.e. device and environment context) and learner-centric context (i.e. learner and activity context).

Next, the system uses the perceived device and environment atomic context elements to infer metadata that adapts the search for those learning resources that are suitable for the system-centric context.

This characteristic is suitable for our task because it can be easily implemented in a real-time score-following system for mobile applications without fine-parameter tuning for each device and environment.

Finally, the influence of prodigious temperature fluctuation on the measurement is experimentally investigated and the impact of optical devices and environment on the uncertainty is analyzed.

To meet the security concerns in ubiquitous resource sharing environment, the model should be able to deal with devices and environment of unknown origin and also should be adaptive to the dynamics of mobile and socially motivated computing models [3].

However in MBD, user activities were defined as part of device model or environment model; that is, UM was not implemented as an independent model separating from the device model and environment model.

In this study we divide context into four context groups – Learner context – Activity context – Device context – and Environment context.

First, a shared ontology space for capturing, integrating and modeling contextual knowledge at a higher level based on learner context, activity context, device context and environment context.

The learning resources associated with these concepts, as shown in Figure 20, are based on device capabilities and environment context as determined by the various adaptation rules.

Adaptive Web systems (AWS) are Web-based systems that can adapt their features such as, presentation, content, and structure, based on users' behaviour and preferences, device capabilities, and environment attributes.