PACSmateTM诊断级医疗显示器整合了创新的GrayBoost同步灰阶技术,可利用一般的DVI Dua Link显示卡,同步显示12-bit(4096色)灰阶色调IEI威强工业电脑推出了提供乳房摄影的5-megapixel灰阶显示器以及提供放射科诊断应用的3-megapixel灰...PACSmateTM诊断级医疗显示器整合了创新的GrayBoost同步灰阶技术,可利用一般的DVI Dua Link显示卡,同步显示12-bit(4096色)灰阶色调IEI威强工业电脑推出了提供乳房摄影的5-megapixel灰阶显示器以及提供放射科诊断应用的3-megapixel灰阶显示器。展开更多
The rapid development of emerging technologies,such as edge intelligence and digital twins,have added momentum towards the development of the Industrial Internet of Things(IIo T).However,the massive amount of data gen...The rapid development of emerging technologies,such as edge intelligence and digital twins,have added momentum towards the development of the Industrial Internet of Things(IIo T).However,the massive amount of data generated by the IIo T,coupled with heterogeneous computation capacity across IIo T devices,and users’data privacy concerns,have posed challenges towards achieving industrial edge intelligence(IEI).To achieve IEI,in this paper,we propose a semi-federated learning framework where a portion of the data with higher privacy is kept locally and a portion of the less private data can be potentially uploaded to the edge server.In addition,we leverage digital twins to overcome the problem of computation capacity heterogeneity of IIo T devices through the mapping of physical entities.We formulate a synchronization latency minimization problem which jointly optimizes edge association and the proportion of uploaded nonprivate data.As the joint problem is NP-hard and combinatorial and taking into account the reality of largescale device training,we develop a multi-agent hybrid action deep reinforcement learning(DRL)algorithm to find the optimal solution.Simulation results show that our proposed DRL algorithm can reduce latency and have a better convergence performance for semi-federated learning compared to benchmark algorithms.展开更多
对河流生态健康状况进行评价,可为河流治理和生态修复提供依据.基于2018年8—9月天津市河流现场调查获取的物理、化学和生物群落指标(浮游动物、浮游植物、底栖动物、鱼类、水生大型植物、陆生植物)数据,构建包含物理完整性、化学完整...对河流生态健康状况进行评价,可为河流治理和生态修复提供依据.基于2018年8—9月天津市河流现场调查获取的物理、化学和生物群落指标(浮游动物、浮游植物、底栖动物、鱼类、水生大型植物、陆生植物)数据,构建包含物理完整性、化学完整性和生物完整性在内的河流IEI(index of ecological integrity,生态完整性指数)评价体系,对天津市河流生态健康状况进行评价.根据生物栖息地评分和水质状况确定参照点位,采用标准化方法筛选候选指标,应用层次分析法计算三部分指标权重,最终得出天津市河流生态健康评价结果.结果表明:①IEI评价结果显示,天津市河流生态健康状况等级为“健康”的样点占18.8%,“较好”的样点占28.1%,“一般”的样点占40.6%,“较差”的样点占6.3%,“差”的样点占6.3%,天津市河流生态健康状况整体处于“一般”水平.②相关性分析表明,ρ(NH4^+-N)和ρ(COD Mn)超标是造成天津市水质达不到功能区标准的主要原因,同时也是影响河流生态健康的主要因素.研究显示,IEI评价法能够较为敏感地响应研究区面临的环境压力,适用于评价研究区河流生态健康.展开更多
河流健康评价是进行河流管理的重要工具.为了对浑太河进行全面准确的健康评价,基于65个采样点共45个候选指标构建具有生物完整性、物理完整性及化学完整性在内的河流IEI(index of ecological integrity,生态系统完整性)评价体系.根据栖...河流健康评价是进行河流管理的重要工具.为了对浑太河进行全面准确的健康评价,基于65个采样点共45个候选指标构建具有生物完整性、物理完整性及化学完整性在内的河流IEI(index of ecological integrity,生态系统完整性)评价体系.根据栖息地综合质量评估和水质等级确定参考样点和受损样点,通过筛选候选指标获得构建IEI评价体系的核心指标并进行标准化处理,按照层次分析法将三部分指标分别赋予不同的权重,运用比值法及分位数法算出各采样点的得分,最终得出浑太河的健康评价结果.为验证IEI评价体系的优势及结果的可靠性,将IEI、SFA(single factor assessment,单因子评价)、F-IBI(fish index of biological intergrity,鱼类生物完整性)3种评价结果进行对比分析.结果表明:①雅罗鱼亚科百分比、鲤亚科百分比、杂食性鱼类百分比、护卵行为鱼类百分比、流速、底质含沙量比例、草地面积、ρ(TN)、ρ(TP)、ρ(CODMn)、电导率及ρ(SS)可作为构建IEI评价体系的12个核心指标.②IEI评价结果显示,"健康"样点占24.62%,"较好"样点占9.20%,"一般"样点占6.15%,"较差"样点占60.03%.浑太河水生态健康状况整体较差,中上游地区的水生态健康状况优于下游地区,太子河的水生态健康状况优于浑河.③IEI、F-IBI、SFA评价结果在一般以下样点分别占66.18%、67.70%、63.08%,3种评价结果在全河流范围内大体一致,但在点源污染的采样点,IEI评价结果更贴近采样点的实际情况,更为客观.研究显示,构建的IEI评价体系适用于浑太河的健康评价.展开更多
基金supported in part by the National Nature Science Foundation of China under Grant 62001168in part by the Foundation and Application Research Grant of Guangzhou under Grant 202102020515。
文摘The rapid development of emerging technologies,such as edge intelligence and digital twins,have added momentum towards the development of the Industrial Internet of Things(IIo T).However,the massive amount of data generated by the IIo T,coupled with heterogeneous computation capacity across IIo T devices,and users’data privacy concerns,have posed challenges towards achieving industrial edge intelligence(IEI).To achieve IEI,in this paper,we propose a semi-federated learning framework where a portion of the data with higher privacy is kept locally and a portion of the less private data can be potentially uploaded to the edge server.In addition,we leverage digital twins to overcome the problem of computation capacity heterogeneity of IIo T devices through the mapping of physical entities.We formulate a synchronization latency minimization problem which jointly optimizes edge association and the proportion of uploaded nonprivate data.As the joint problem is NP-hard and combinatorial and taking into account the reality of largescale device training,we develop a multi-agent hybrid action deep reinforcement learning(DRL)algorithm to find the optimal solution.Simulation results show that our proposed DRL algorithm can reduce latency and have a better convergence performance for semi-federated learning compared to benchmark algorithms.
文摘对河流生态健康状况进行评价,可为河流治理和生态修复提供依据.基于2018年8—9月天津市河流现场调查获取的物理、化学和生物群落指标(浮游动物、浮游植物、底栖动物、鱼类、水生大型植物、陆生植物)数据,构建包含物理完整性、化学完整性和生物完整性在内的河流IEI(index of ecological integrity,生态完整性指数)评价体系,对天津市河流生态健康状况进行评价.根据生物栖息地评分和水质状况确定参照点位,采用标准化方法筛选候选指标,应用层次分析法计算三部分指标权重,最终得出天津市河流生态健康评价结果.结果表明:①IEI评价结果显示,天津市河流生态健康状况等级为“健康”的样点占18.8%,“较好”的样点占28.1%,“一般”的样点占40.6%,“较差”的样点占6.3%,“差”的样点占6.3%,天津市河流生态健康状况整体处于“一般”水平.②相关性分析表明,ρ(NH4^+-N)和ρ(COD Mn)超标是造成天津市水质达不到功能区标准的主要原因,同时也是影响河流生态健康的主要因素.研究显示,IEI评价法能够较为敏感地响应研究区面临的环境压力,适用于评价研究区河流生态健康.
文摘河流健康评价是进行河流管理的重要工具.为了对浑太河进行全面准确的健康评价,基于65个采样点共45个候选指标构建具有生物完整性、物理完整性及化学完整性在内的河流IEI(index of ecological integrity,生态系统完整性)评价体系.根据栖息地综合质量评估和水质等级确定参考样点和受损样点,通过筛选候选指标获得构建IEI评价体系的核心指标并进行标准化处理,按照层次分析法将三部分指标分别赋予不同的权重,运用比值法及分位数法算出各采样点的得分,最终得出浑太河的健康评价结果.为验证IEI评价体系的优势及结果的可靠性,将IEI、SFA(single factor assessment,单因子评价)、F-IBI(fish index of biological intergrity,鱼类生物完整性)3种评价结果进行对比分析.结果表明:①雅罗鱼亚科百分比、鲤亚科百分比、杂食性鱼类百分比、护卵行为鱼类百分比、流速、底质含沙量比例、草地面积、ρ(TN)、ρ(TP)、ρ(CODMn)、电导率及ρ(SS)可作为构建IEI评价体系的12个核心指标.②IEI评价结果显示,"健康"样点占24.62%,"较好"样点占9.20%,"一般"样点占6.15%,"较差"样点占60.03%.浑太河水生态健康状况整体较差,中上游地区的水生态健康状况优于下游地区,太子河的水生态健康状况优于浑河.③IEI、F-IBI、SFA评价结果在一般以下样点分别占66.18%、67.70%、63.08%,3种评价结果在全河流范围内大体一致,但在点源污染的采样点,IEI评价结果更贴近采样点的实际情况,更为客观.研究显示,构建的IEI评价体系适用于浑太河的健康评价.
