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Because of inhomogeneities in the measurement data, this hierarchical clustering algorithm combined with PCA feature extraction technology is applied to achieving the patterns of wind power.
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First, the proportional fairness criterion is applied to achieve the sum of relative achievable rate of the CU and D2D pair.
Additionally, the pulse-width modulation (PWM) control is applied to achieve a large chromaticity variation.
Additionally, benzyl alcohol is applied to achieve more effective microbial control.
This technique is applied to achieve synchronization between Lorenz and Rössler chaotic systems.
The sliding mode controller is applied to achieve robust tracking and stabilization.
Self-heat recuperation technology is applied to achieve a novel energy-saving SHR-PSD process.
This technique is applied to achieve chaos synchronization of Liu system.
Then, an output function, to be zero, is designed and output zeroing control is applied to achieve the rolling motion.
These local statistics are then fused between neighbor nodes and a consensus filter is applied to achieve a global estimation.
Shamir's secret sharing scheme is applied to achieve data security without complex key management associated with traditional cryptographic algorithms.
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