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In this section, we present a numerical experiment to assess the practical performance of the proposed method and verify the theoretical analysis.
In this section, we monitor the data usage of our open protein identification method and verify the robustness of this approach by implementing a measurable identification system based on Hadoop software.
Finally, we confirm that the offsets do not affect in the proposed method, and verify that the experimental results are the same whenever simulated at arbitrary offsets such as angle and radius.
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Section 3 illustrates the principle of the EMD method and verifies the accuracy of the algorithm.
The GH shift is calculated by stationary phase method and verified by finite-element method (FEM).
Finally, a simulation study clarifies the proposed method and verifies its efficiency.
The statistics of the parameters are estimated by the perturbation method and verified by Monte Carlo technique.
Finally, taking all these relationship models into account, this paper proposes a watermarking payload estimation method and verifies its effectiveness through experiments.
In Section 4 we tested the method and verified the resulting collimators with Monte-Carlo raytracing using the software package LightTools.
Finally, taking into account of all these relationship models, this paper proposes the watermarking payload estimation method and verifies its effectiveness through experiments.
The achievement of consistent pressure and the distributions of the cell temperature have been analyzed by the finite element method and verified by the experimental data.
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