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Prediction-error expansion (PEE) is an efficient technique for reversible data hiding (RDH). Instead of expanding the highest histogram bins in conventional PEE, in this paper, to better utilize the image redundancy, we propose a new PEE-based RDH scheme with an advisable expansion strategy utilizing referential prediction-errors. For each pixel, we first calculate its prediction-error and use its...
Data Mining is to pick up unknown, potential and useful information from vast, incomplete, noisy, vague and random data. Association Rules analysis is frequently used in data mining that analyze data and find the association or contact between things. This paper applies the Association Rules to the analysis of relationship between casualty and residential environment in earthquake. The data comes...
This paper applies a standard genetic algorithm to the optimization of the quantum circuits. We propose a new coding scheme, which encodes quantum gates as integers and stores circuit topology information in the position of the integers. The design of the corresponding fitness function and genetic operators are also discussed. The quantum teleportation circuit, a typical quantum computation process,...
Risk management and assessment of software project is highly relevant to the social and culture context of the development activities. This paper proposes a risk analysis approach which represents the organizational settings of a project as a social dependency network, and identifies risks originated from broken role dependency relations, unsatisfied goals, unfinished tasks, and unavailable resources...
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