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Each Cloud provider can operate a PEP, whereas PDPs can be implemented by third trusted parties, or even the enterprises themselves.
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The constraints on control input and angular velocity are implemented by second-order command filter.
All experiments are implemented by first optimizing the methods using the development data and then testing with fivefold cross-validation over the primary dataset.
In HEVC, the two-dimensional (2D) forward DCT of a TB is implemented by first applying a butterfly-based one-dimensional (1D) DCT [15] to each row of the residual block, followed by applying a 1D DCT to each column.
In each patient, 3P-KMA was implemented by first fitting the 11 data points of the experimental 18F-FDG IF with a three exponentially decreasing function derived from Hunter's results, after data were uncorrected for the 18F physical decay.
Loading of ICG onto rNGO-PEG was implemented by first adding sufficient ICG (~20 mg) to rNGO-PEG aqueous suspension (5 mL, 1 mg mL−1) and then stirring the mixture at 4 °C overnight.
The 2D forward DCT in (2) is implemented by first applying a butterfly-based 1D DCT [15] to each row of the residual block, that is, Y=C N X T, followed by the 1D column DCT F=C N Y T. In such an implementation, even if only a few coefficients are predicted as non-zero, the 1D row and column transforms cannot be skipped.
Consensus scoring was implemented by first ranking each library according to each criterion so that the best library gets a score of 1 and the worst, a score of x, x being the number of libraries and then by combining the individual ranks.
In this work a component model for open system is proposed, in which components encapsulate computation, systems deal with the creation and communication of components, and the rest of the context-specific requirements and concerns are implemented by first-class, reflective, reusable entities, called controllers.
Vaccination is implemented by first asking a fraction of the population to supply the names of their casual contacts.
Stacking is implemented by first generating a number of first-level individual learners from the training dataset with different learning algorithms and then combining them by adopting a second-level learner called metalearner [ 47].
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