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Figure 8 The response performance of sensing devices based on assembled Py-rGO sheets.
As this paper does not focus on the performance of sensing devices, the exact cause of the different offsets is not examined.
In the case of fast varying channels over time, some works focus on improving the performance of sensing [66] and signal identification [67 69].
Generally, conductance (resistance) change is measured to reflect performance of sensing and total resistance of as-fabricated FET is expressed as follows: Open image in new window Fig. 8 a Schematic diagram and b Optical image of the MoS2 FETs.
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This section studies the optimum design and performance analysis of sensing systems employing the newly proposed best-effort sensing policy.
In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high-rate live streams.
In general, the performance of spectrum sensing techniques is measured on the basis of two metrics: the probability of detection and the probability of false alarms.
Fig. 7 Comparison of sensing performance between the optimal soft combination and the new CSS algorithm.
Figure 5 Comparison of sensing performance achieved by traditional MFD, CAV detection, and the proposed algorithm.
The high sensing performance of chemical sensing sensors depends greatly on rational design of nanostructure and smart heterogenization of tailorable nanomaterials.
To improve hydrogen gas sensing performance of SnO2 sensing films, the bi-layer structure sensitive films was used, which was composed of one pure SnO2 layer and one highly dispersed palladium nanoparticle layer.
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