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Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications

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Digital Communications and Networks 2024年第1期10卷 38-44页

作者： mianjie li Senfeng Lai Jiao Wang Zhihong Tian Nadra Guizani Xiaojiang Du Chun Shan School of Electronics and Information Guangdong Polytechnic Normal UniversityGuangzhou510665China Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Schoolof Electrical Engineering and Computer Science Washington State UniversityPullmanWA99164USA Department of Computer and Information Science Temple UniversityPhiladelphiaPA19122USA

Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication *** that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data,this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of *** multiwatermarking process employs spread transform dither *** the watermarking procedure,Gram-Schmidt orthogonalization is used to obtain the multiple spreading ***,multiple watermarks can be simultaneously embedded into the same position of a multimedia ***,the multiple watermarks can be extracted without affecting one another during the extraction *** analyze the effect of the size of the spreading vector on the unit maximum capacity,and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity.A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.

关键词： B5G Multimedia information security Spread transform dither modulation Spreading vector measurement Unit maximum capacity

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Observation points classifier ensemble for high-dimensional imbalanced classification

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 500-517页

作者： Yulin He Xu li Philippe Fournier‐Viger Joshua Zhexue Huang mianjie li Salman Salloum College of Computer Science&Software Engineering Shenzhen UniversityShenzhenChina Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen UniversityShenzhenChina Faculty of Information Technology Macao University of Science and TechnologyMacaoChina School of Computing National University of SingaporeSingaporeSingapore

In this paper,an Observation Points Classifier Ensemble(OPCE)algorithm is proposed to deal with High-Dimensional Imbalanced Classification(HDIC)problems based on data processed using the Multi-Dimensional Scaling(MDS)feature extraction ***,dimensionality of the original imbalanced data is reduced using MDS so that distances between any two different samples are preserved as well as ***,a novel OPCE algorithm is applied to classify imbalanced samples by placing optimised observation points in a low-dimensional data ***,optimization of the observation point mappings is carried out to obtain a reliable assessment of the unknown *** experiments have been conducted to evaluate the feasibility,rationality,and effectiveness of the proposed OPCE algorithm using seven benchmark HDIC data *** results show that(1)the OPCE algorithm can be trained faster on low-dimensional imbalanced data than on high-dimensional data;(2)the OPCE algorithm can correctly identify samples as the number of optimised observation points is increased;and(3)statistical analysis reveals that OPCE yields better HDIC performances on the selected data sets in comparison with eight other HDIC *** demonstrates that OPCE is a viable algorithm to deal with HDIC problems.

关键词： classifier ensemble feature transformation high-dimensional data classification imbalanced learning observation point mechanism

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Cv-aCO_2/Ca-vO_2、LCR、IVCrvi作为脓毒性休克患者早期复苏终点指标的可行性及价值研究

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现代医药卫生 2018年第17期34卷 2632-2634页

作者：杨蕾王兆唐春春温建立陈微微黎冕洁付磊刘胜华遵义市第一人民医院重症医学科贵州563000

目的探讨静脉-动脉二氧化碳含量差/动脉-静脉氧含量差(Cv-a CO2/Ca-v O2)、乳酸清除率(LCR)与下腔静脉内径呼吸变异指数(IVCrvi)作为脓毒症休克患者早期复苏终点指标的可行性及价值。方法选取2016年6月至2018年2月该院收治的脓毒性休克... 详细信息

目的探讨静脉-动脉二氧化碳含量差/动脉-静脉氧含量差(Cv-a CO2/Ca-v O2)、乳酸清除率(LCR)与下腔静脉内径呼吸变异指数(IVCrvi)作为脓毒症休克患者早期复苏终点指标的可行性及价值。方法选取2016年6月至2018年2月该院收治的脓毒性休克患者60例,均进行早期液体复苏治疗,应用Cv-a CO2/Ca-v O2、LCR、IVCrvi进行评估,以尿量大于0.5 m L/(kg·h)、平均动脉压大于65 mm Hg(1 mm Hg=0.133 k Pa)为达标,根据达标情况将患者分为达标组和未达标组。结果复苏治疗后所有患者Cv-a CO2/Ca-v O2、LCR及IVCrvi等指标均得到明显改善,达标组患者指标改善情况优于未达标组,差异均有统计学意义(P<0.05)。结论脓毒症休克患者早期复苏治疗可应用Cv-a CO2/Ca-v O2、LCR、IVCrvi进行评估,其对复苏治疗有重要指导价值。

关键词：脓毒性休克二氧化碳含量氧含量乳酸清除率下腔静脉内径

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