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In this method, the size of the region of cross-correlation surface peaks exceeding the lower confidence bound is measured.
For the proposed method, the size of data-embedded halftone is flexible, and the data capacity is flexible as well.
Importantly, using this method, the size of the QDs can be made smaller than that of exposed windows.
In the traditional (t, n) secret sharing method, the size of the shadow is only 1/t of the original secret data.
However, using microemulsion method, the size of particles is related to the size of water droplets and the water/surfactant ratios.
In this method, the size of the point cloud is reduced with a hue-based down sampling that is independent of the point sample density or local geometry.
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Also, through this method, the sizes of nanopaticles can be well controlled by apt surfactant [13, 14].
In both methods, the size of the shadow images (shares) is reduced to an optimal value.
For both preparation methods, the size of the metal particles decreased with the pore diameter.
For the proposed MSSLM, PSLM, and SSLM methods, the size of a group is 18 resource blocks (i.e., 216 subcarriers).
In order to be consistent with filter methods, the size of subset in feature selection was also optimized using a cross-validation scheme.
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