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As shown in Figure 2, the proposed method generates the SI in two stages: the BSI and SI generation stages.
To secure the watermark, our method generates the binary watermark based on nonlinear congruential – pseudorandom number generator (NC-PRNG) and randomly selects the embeddable position in the DWT domain of the subsequence.
Because x and y are coprime, so that x and N are coprime, it follows (from some theorem of the theory of cyclical groups that I forgot a long time ago) that this method generates the entire group, i.e., all integers 0, 1, …, N (and N is the last such generated, i.e., is adjacent to 0 on the clockwise side).
The figures show that the proposed method generates the most accurate results in the sense of periodicity.
The method generates the Gaussian Scale-space pyramid in frequency domain to complete the SIFT feature detector more quickly.
Our method generates the most probable hydrogen positions on the basis of an optimal hydrogen bonding network using an empirical scoring function.
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Again, the proposed method generated the best results while the intensity-based optimization method performs worst.
Corresponding results suggested that the SSE method generated the best fit functions relative to the measured E t) data.
Hot-embossing method generated the photoresist patterns with vertical side walls which enabled phase-shift mask effect at the edge of patterns.
LEQ conceived and designed the method, generated the results and drafted the manuscript.
JYL conceived the method, generated the experimental data, and wrote the first draft of the manuscript.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com