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Rules at work, in collaborative situations, in communities and in many other contexts are there to provide sensible and common sense parameters.
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Having the same number of parameters, however, does not guarantee that the pairing makes sense; parameter vectors may have the same number of parameters by coincidence.
In this sense, parameter estimation is done by evaluating the so-called posterior distribution which can be computed (at least theoretically) by Bayes' theorem given the observations (measurements) and the prior distribution.
The elementary design principles include, substitution of alternative location-sensing mechanisms, accelerometer- based suppression, piggybacking the location-sensing requests and finally the alteration of sensing parameters based on the remaining battery life.
These sensing interval and duration are the global optimal sensing parameters (i.e., TSOPT = 2.697 ms and T1OPT = 0.25 s) for the case where α = 0.4 and β = 0.01.
All camera sensors share the same sensing parameters.
Figure 12 Interference ratio associated with optimal sensing parameters.
Even though the achievable throughput with the proposed optimal sensing parameters can be smaller than that with the conventional optimal sensing parameters, the difference is not significant.
Improvement of these gas sensing parameters are essential to yield smart CO sensing system.
Figure 13 Optimal sensing parameters for different TDP and interference ratio constraints.
Figure 11 TDP and achievable throughput associated with optimal sensing parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com