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The monitoring system's output for 2016 is presented and analysed.
The response can be documented in M-mode or by video recording of the ultrasound system's output (Video 1).
Results show that the effective receiver surface area and the rate constants are important to the system's output performance.
User feedback correcting the system's output or leaving it be helps the system learn how you speak (e.g correcting Austin to Boston).
where (x_{1}), (x_{2}) are the state variables, and (y=x_{1}) is the system's output.
The performance curves and fundamental optimal relation for the system's output power and efficiency are explored with numerical examples.
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The system's outputs are shown in Figures 6 and 7 for the channels 1 and 2, respectively.
To assess the uncertainty propagation into the system's outputs, power series expansion (PSE) is employed in the presence of distributional parametric uncertainties.
The second test is more difficult and it is made using two trapezoidal reference signals in order to see the decoupling performance of the system's outputs.
The Pareto principle is often alternatively referred to in business and economics literature as the "80/20 principle," meaning that 80% of a system's outputs are due to only 20% of its inputs (Koch 1998).
Since all of a nervous system's outputs should be selected to promote biological fitness, all the system's information should be about biological fitness (future reward).
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