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The accelerometer we use for both step detection and stride estimation.
Then, the maximum likelihood estimators of change points designed for both step changes and linear-trend disturbances are derived.
Then, the MLE of change points designed for both step changes and linear-trend disturbances were derived.
A series of experiments were performed for both step increases and step decreases in the fluidization velocity.
The predicted tracer concentration fluctuation response has been determined for both step and pulse tracer test, for the IEM model, the coalescence redispersion model, and the two-, three- and four-environment models.
The response of the load frequency control problem in a multi-area interconnected power system is improved by designing a PID controller using different tuning techniques and proved that the proposed controller, which was designed by Simulink Design Optimization Software gives the superior performance than other controllers for both Step load and Random load perturbations.
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Third, new semi-analytical solutions for both step-up and step-down responses have been successfully constructed by using a linear time-varying system formulation that incorporates time-varying compliance.
In the second work, Niaki and Khedmati (2012b) derived an MLE of a linear-trend change in multivariate Poisson processes and compared its performances with those of an MLE of a step change for both step-change and linear-trend disturbances.
In the following we introduce the parallel version of Meisjter algorithm for both steps.
The time and temperature for both steps were 30 min and 367 K, respectively.
For both steps the in-vitro selection method Proside was employed.
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