Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust Principal Component Anal...Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust Principal Component Analysis (RPCA) addresses these limitations by decomposing data into a low-rank matrix capturing the underlying structure and a sparse matrix identifying outliers, enhancing robustness against noise and outliers. This paper introduces a novel RPCA variant, Robust PCA Integrating Sparse and Low-rank Priors (RPCA-SL). Each prior targets a specific aspect of the data’s underlying structure and their combination allows for a more nuanced and accurate separation of the main data components from outliers and noise. Then RPCA-SL is solved by employing a proximal gradient algorithm for improved anomaly detection and data decomposition. Experimental results on simulation and real data demonstrate significant advancements.展开更多
Cardiovascular diseases have become the major disease in the world, which threatens tens of millions of people’s lives [1]. Therefore, it is necessary to early detect and timely intervene the cardiovascular diseases ...Cardiovascular diseases have become the major disease in the world, which threatens tens of millions of people’s lives [1]. Therefore, it is necessary to early detect and timely intervene the cardiovascular diseases by capturing the blood pressure to assess the cardiovascular state, thus shitting quality of life. The conventional method of evaluating heart and cardiac state can only depend on the professional device performed by the medical workers in the hospital [2]. Therefore, a smart testing system with operability and high accuracy is urgently needed to meet the fast growth in personalized demand.展开更多
生物修复作为经济有效、绿色可持续的修复技术,在有机污染土壤和地下水修复上具有广阔的应用前景。基于Web of Science核心数据库,通过文献计量可视化应用软件VOSviewer和CiteSpace,分析了1990-2020年有机污染土壤和地下水生物修复领域...生物修复作为经济有效、绿色可持续的修复技术,在有机污染土壤和地下水修复上具有广阔的应用前景。基于Web of Science核心数据库,通过文献计量可视化应用软件VOSviewer和CiteSpace,分析了1990-2020年有机污染土壤和地下水生物修复领域的研究热点及趋势。结果表明,有机污染土壤和地下水生物修复领域的论文发表数量呈增长趋势,发文总量最多的国家是美国和中国,但是2012年后中国年发文量快速增加,并位居第一。该领域的相关研究主要发表在Chemosphere、Environmental Science&Technology、Science of the Total Environment等top期刊上。全球研究机构中中国科学院发文量最多,但是来自美国加州大学的总被引频次和h-index最高。发文量最多的是来自英国兰卡斯特大学的学者Semple教授,我国发文量最多的是来自中国科学院南京土壤研究所的骆永明研究员。下一步研究重点和热点:针对复合污染土壤和地下水,研发新型耦合强化生物修复技术,采用先进的分子生物学方法探索功能微生物及其功能基因,阐明生物降解机理,明确原位污染土壤和地下水的靶向性调控机制。展开更多
针对现有网络化控制系统(networked control systems,NCS)依赖网络固有资源进行容错控制设计方法的局限性,以及多性能指标约束下控制器设计的保守性问题,分析了现有离散事件触发通讯机制对系统性能负面影响,提出了一种具有动稳过程协调...针对现有网络化控制系统(networked control systems,NCS)依赖网络固有资源进行容错控制设计方法的局限性,以及多性能指标约束下控制器设计的保守性问题,分析了现有离散事件触发通讯机制对系统性能负面影响,提出了一种具有动稳过程协调约束的离散事件触发通讯机制,并在该机制下建立了闭环故障模型,并结合改进的Wirtinger不等式与改进的互反凸组合引理等技术,获得了NCS的新型离散事件触发通讯机制与鲁棒H_∞容错控制的协同设计方法;最后以仿真算例验证了本文方法在确保系统性能、节约网络通讯资源与减少控制器保守性方面的优越性。文中触发条件的设计物理意义明确,触发参数便于选取,动稳兼顾的属性在确保系统性能的前提下能更有效地节约网络通讯资源。展开更多
文摘Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust Principal Component Analysis (RPCA) addresses these limitations by decomposing data into a low-rank matrix capturing the underlying structure and a sparse matrix identifying outliers, enhancing robustness against noise and outliers. This paper introduces a novel RPCA variant, Robust PCA Integrating Sparse and Low-rank Priors (RPCA-SL). Each prior targets a specific aspect of the data’s underlying structure and their combination allows for a more nuanced and accurate separation of the main data components from outliers and noise. Then RPCA-SL is solved by employing a proximal gradient algorithm for improved anomaly detection and data decomposition. Experimental results on simulation and real data demonstrate significant advancements.
基金supported by the National Natural Science Foundation of China (52303114, 52373093)China Postdoctoral Science Foundation (2023M733199)。
文摘Cardiovascular diseases have become the major disease in the world, which threatens tens of millions of people’s lives [1]. Therefore, it is necessary to early detect and timely intervene the cardiovascular diseases by capturing the blood pressure to assess the cardiovascular state, thus shitting quality of life. The conventional method of evaluating heart and cardiac state can only depend on the professional device performed by the medical workers in the hospital [2]. Therefore, a smart testing system with operability and high accuracy is urgently needed to meet the fast growth in personalized demand.
文摘生物修复作为经济有效、绿色可持续的修复技术,在有机污染土壤和地下水修复上具有广阔的应用前景。基于Web of Science核心数据库,通过文献计量可视化应用软件VOSviewer和CiteSpace,分析了1990-2020年有机污染土壤和地下水生物修复领域的研究热点及趋势。结果表明,有机污染土壤和地下水生物修复领域的论文发表数量呈增长趋势,发文总量最多的国家是美国和中国,但是2012年后中国年发文量快速增加,并位居第一。该领域的相关研究主要发表在Chemosphere、Environmental Science&Technology、Science of the Total Environment等top期刊上。全球研究机构中中国科学院发文量最多,但是来自美国加州大学的总被引频次和h-index最高。发文量最多的是来自英国兰卡斯特大学的学者Semple教授,我国发文量最多的是来自中国科学院南京土壤研究所的骆永明研究员。下一步研究重点和热点:针对复合污染土壤和地下水,研发新型耦合强化生物修复技术,采用先进的分子生物学方法探索功能微生物及其功能基因,阐明生物降解机理,明确原位污染土壤和地下水的靶向性调控机制。
文摘针对现有网络化控制系统(networked control systems,NCS)依赖网络固有资源进行容错控制设计方法的局限性,以及多性能指标约束下控制器设计的保守性问题,分析了现有离散事件触发通讯机制对系统性能负面影响,提出了一种具有动稳过程协调约束的离散事件触发通讯机制,并在该机制下建立了闭环故障模型,并结合改进的Wirtinger不等式与改进的互反凸组合引理等技术,获得了NCS的新型离散事件触发通讯机制与鲁棒H_∞容错控制的协同设计方法;最后以仿真算例验证了本文方法在确保系统性能、节约网络通讯资源与减少控制器保守性方面的优越性。文中触发条件的设计物理意义明确,触发参数便于选取,动稳兼顾的属性在确保系统性能的前提下能更有效地节约网络通讯资源。
