Sentence examples for where networked from inspiring English sources

Hence, it is very important to have in mind scenarios where networked pervasive systems need to communicate independently of the networking conditions.

Indeed, Hewett foresees a future where networked vehicles can automatically identify issues like fallen trees in the road, or traffic accidents, and automatically notify the relevant public authorities.

This results in a new paradigm for decision-making, where networked expert procedures (e-expertise) are used to inform the decision.

Examples of such systems include smart parking, where networked sensors enable congestion easing through both dynamic pricing and driver communications; smart grid, where PMUs and smart meter data serve to increase grid reliability; smart street lighting where LEDs and smart controllers enable reduced energy consumption according to footfall and traffic analysis.

Commercial "education" enterprises and apps often apply the older broadcast models in a world where networked peer-to-peer learning is becoming the norm.

So in a networked economy, where networks are producing petabytes of free, socially relevant knowledge every day, what to do with that knowledge becomes the central question.

Pakistan is a developing nation where digitally networked technologies and new media platforms are emerging, and where a struggle to establish democratic norms amidst authoritarian superstructures is underway.

In environments where multiple networked computers are used for testing, the PVT sessions and analysis results can be automatically saved to a shared network drive, creating a central data repository.

In short, this turns quake3-style levels into musical playgrounds, where hoardes of networked performers can play with sound and music in a communal experience.

Architecture is based on conformable tetrahedra, the simplest space filling form, as building blocks, single or networked, where apices act as nodes from which struts reversibly deploy.

This is especially true for networked systems where the accurate occurrence probability of network-induced phenomena is generally unavailable and only an upper bound is known.