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In this paper, a new PI-PD method optimized by the extended nonminimal state space predictive functional control (ENMSSPFC) is proposed for chamber pressure in a coke furnace.
This performance is 41% higher than the previous CUDA-based method and is 24 times faster than a CPU-based method optimized by vector intrinsics.
In this paper, a new PI PD method optimized by the extended non-minimal state space model predictive control (ENMSSMPC) is proposed to get the optimal parameters of PI PD controller for dealing with the process complexity.
In this study, a QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) method, optimized by a 23 full factorial design, was developed for the determination of 72 pesticides in plant parts of carrot, corn, melon, rice, soy, silage, tobacco, cassava, lettuce and wheat by ultra-high-performance liquid chromatographic tandem mass spectrometry (UHPLC MS/MS).
First, Fig. 8 illustrates the output waveforms of the desired speech signal which is decoded without packet loss and decoded speech signals using the reference muting methods in G.722 Appendix IV and Kovesi [22], G.722 Appendix IV+, and proposed muting method optimized by using the raised-cosine with WB-PES Qcriterion.
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Thus the method optimized the contrast resolution by adaptively selecting the samples of the excitation.
The MS/MS experiments were performed using a LIFT method optimized for the drug by specific tuning of the timing of the LIFT cell and of the precursor ion selector.
In the simulation, two channel types, CM1 and CM4, and TFC 1 are used, and the threshold of each method is optimized by searching the optimal value for each SNR.
Li, et al [51], presented an adaptive cascaded stochastic resonance method to detect the weak impulsive features submerged in noise; the multi-parameters of this method were optimized by GA synchronously, and results showed that the proposed method was suitable for extracting the weak impact features of a gearbox.
The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient of the underlying clustering method) are optimized by means of the particle swarm optimization.
A Diltiazem kinetic spectrophotometric method was optimized by factorial analysis.
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