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WSN monitoring applications are often faced with acquisition of spatially sparse signals.

The results of two systems designed for remote sensing in condition monitoring applications are discussed.

Monitoring applications are those where streams of information, triggers, real-time requirements, and imprecise data are prevalent.

In particular, many environmental monitoring applications are under study [7], and they are being employed in environments with very distinct characteristics which affect the wireless communication.

Both open-loop and closed-loop applications are part of the roadmap, although data gathering and monitoring applications are expected to spread first.

If fast on-line data processing is crucial for quickly varying in time systems (such as a rocket burning fuel), a number of vibration-based condition monitoring applications are performed at very different time scales, resulting in satisfactory time steps for on-line data analysis.

Similar(54)

An integrated microsystem for (indoor) air quality monitoring applications is presented.

In [2], an architecture of low-power wireless sensor networks for container tracking and monitoring applications is described.

Also, a performance analysis of the proposed device in a WSN for continuous monitoring applications is presented.

A non-invasive impedimetric sensing system measuring electrical conductivity of liquids in hemodialysis machines for continuous monitoring applications is introduced.

Analogously to image background modeling for video analysis, a logical initial phase in applying audio analysis to surveillance and monitoring applications is the detection of background audio.

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