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Surface plasmon resonance (SPR) sensor schemes based on silicon (Si) and chalcogenide glass are evaluated and compared for chemical as well as gas detection in a wide range of infrared (IR) wavelengths.
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In this paper, we show that these assumptions are not always valid, and propose sensor node wakeup schemes based on combinatorics block design to address energy-related issues when common assumptions fail.
In the third paper, "Determining localized tree construction schemes based on sensor network lifetime," Lee et al. study the network lifetime of different localized data gathering tree formation algorithms by considering the communication overhead due to imperfect link quality.
This observation suggests that the performance can be further improved by exploiting the sensor proximity information, leading to new schemes based on the concept of location awareness [15 17].
Section 'Score fusion scheme based on SVR' describes multiple Gabor feature fusion schemes based on SVR.
Schemes based on local resources are scarce.
A robust sliding mode sensor fault reconstruction scheme based on an LPV model is presented, where the fault reconstruction signal is obtained from the so-called equivalent output error injection signal associated with the observer.
Then, a numerical analysis scheme based on a virtual sensor model and the Mindlin plate theory is implemented to reduce huge computing time for simulating the time reversal process.
The next, we present, using a scheme based on virtual buffer sharing, a sensor node model as shown in Figure 2. The buffer of the sensor node is allocated to data channels between the sensor node and its upstream neighbor nodes.
In this article, we describe a generalized scenario of the WSNs, and present a practicable model of sensor nodes for guaranteed service support using a scheme based on virtual buffer sharing.
A classification based data mining scheme based on the readings of these sensor types detects and classifies submarines, small delivery vehicles, mines and divers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com