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We propose a high capacity reversible ternary embedding-watermarking algorithm based on a modification of full-context-prediction-errors (MFCPE) wherein the binary bit stream is converted to the ternary stream then error histogram shifting is utilized to embed the ternary stream. Unlike the existing predictor methods, we provide a full context prediction with a modification of each pixel at most by...
The purpose of this study was to identify switching costs and examine the moderating effect of switching costs on buyer loyalty model in the B2B e-marketplace. Then a questionnaire was constructed and data were collected from 649 buyers of a Chinese B2B e-marketplace in 114 countries all over the world. Multi-group analysis was applied to examine the moderating effect of switching costs. Finally,...
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