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We describe its Monitoring Scenario and Instrumentation layers in detail.
Given the complexity and variability of organic vapours in air, no one sampling approach suits every monitoring scenario.
This paper considers a micro-climate monitoring scenario, which usually requires deploying a large number of sensor nodes to capture environmental information.
Specifically, three design strategies are proposed in the context of a space target monitoring scenario, considering as design cases both operational spacecraft and debris, characterized by highly variable shape, size and absolute rotational dynamics.
The results obtained with the dynamic model are compared with the response of the static neural network and the performance analysis indicates the capability of the on-field dynamic multivariate calibration to ameliorate the static calibration approach performance in this real world air quality monitoring scenario.
In this paper we consider a link-unreliable remote monitoring scenario where the monitoring center is geographically located far away from the region of the deployed sensor network, and sensing data by the sensors in the network will be transferred to the remote monitoring center through a third party telecommunication service.
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This sensing method is applicable to various process monitoring scenarios.
The WSN design considerations presented in this paper are particularly prolific for pipeline monitoring scenarios, they can however be easily extended to other oil and gas infrastructures.
PAM-Tree is aimed at overcoming the inefficiencies of existing stream-oriented traffic probes in traffic monitoring scenarios where large numbers of filters change dynamically.
Furthermore, the generic nature of the method allows the technique to be used in a variety of monitoring scenarios, to detect damage in a wide range of structures.
For this purpose, a novel decentralized data-driven online control scheme for cooperating vehicles in multi-objective monitoring scenarios is presented in this paper.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com