The recovery and maintenance of input validation implemented in a system is a challenging issue.
The band-pass filtering, sampling, and digitization for the voice input are implemented by MATLAB simulation in this paper.
In this paper, we introduce a variant of control flow graph, called validation flow graph as a model to analyze input validation implemented in a program.
The hysteretic quantized input is implemented to avoid the oscillation caused by logarithmic quantizer and decomposed into two bounded nonlinear functions.
A model reference adaptive control system (MRAS), which includes the cutting force as a controlled output and the feed rate as a control input, is implemented.
The prototype of 250 W/300 V DC output with 30 V PV input is implemented and the performance of the proposed topology is validated.
At the first step of the identification procedure, a special excitation input is implemented to excite the stage to decompose the hysteresis into a monotonic polynomial within a certain region.
A particular frequency-sweep input is implemented to the nonlinear simulation model to achieve pole-zero transfer functions for yaw and pitch motions that were previously developed by the perturbed equations of motion.
First, bp-distance performance was evaluated using both the original method which only takes an input sequence, implemented in RNAmute, and a modified version we implemented, which requires a given sequence and structure.
Either a manual glucose reading from the CGM, manual administration of insulin by the study personnel, or both was used (4, 6, 9, 14, 15), or a three-pump system with manual venous blood glucose input was implemented (6).
