Xingyuan Liang | Searcharxiv

arXiv2024

A Novel Voting System for Medical Catalogues in National Health Insurance

This study explores the conceptual development of a medical insurance catalogue voting system. The methodology is centred on creating a model where doctors would vote on treatment inclusions, aiming to demonstrate transparency and integrity. The results from Monte Carlo simulations suggest a robust consensus on the selection of medicines and treatments. Further theoretical investigations propose incorporating a patient outcome-based incentive mechanism. This conceptual approach could enhance decision-making in healthcare by aligning stakeholder interests with patient outcomes, aiming for an optimised, equitable insurance catalogue with potential blockchain-based smart-contracts to ensure transparency and integrity.

cs.SI↗

arXiv2022

A Lattice-Based Embedding Method for Reversible Audio Watermarking

Reversible audio watermarking (RAW) is a promising technique in various applications. To simultaneously meet the demand of achieving high imperceptibility and robustness, this paper proposes a novel RAW scheme based on lattices. The scheme is referred to as Meet-in-the-Middle Embedding (MME), in which the lattice quantization errors are properly scaled and added back to the quantized host signals. Simulations show that MME excels in a wide range of metrics including signal-to-watermark ratio (SWR), objective difference grade (ODG), and bit error rate (BER).

cs.CR↗