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The idea of embedding information about a product, including its price, in a visual code that could be decrypted quickly and accurately at supermarket checkouts was hatched in the late 1940s by Bernard Silver and Norman Joseph Woodland, graduate students at the Drexel Institute of Technology in Philadelphia.
For the realization of two-party protocol, their scheme sacrifices the selection of embedding information, namely a fingerprint.
However, although barcodes are frequently used for embedding information in printed matter, they have unsightly overt patterns.
By embedding information about channel usage in control messages of OLSRv2, each node obtains a view of topology and bandwidth information of the whole network.
Bit Plane Complexity Segmentation (BCPS) [6] was based on the simple idea that the higher bit planes could also be used for embedding information.
In this step, the hidden data have not been embedded into a halftone yet; however, this step determines locations of the smallest units for embedding information, i.e., the halftone cells, by the screening process.
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Such embedded computing units are called PEIDs (product embedded information devices).
Various matrix permutation algorithms and clustering methods with validation indices are implemented for extracting embedded information.
Now the whole product lifecycle can be visible and controllable thanks to product embedded information device (PEID).
The modeling works of gasification process requires a systematic logical analysis in order to efficiently disseminate the embedded information.
The conventional compressed domain lossless data hiding scheme can embed information bits into the bitstream, while maintaining the file size and JPEG compatibility.
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