On‐line parameter estimation for a partially observable system subject to random failure

In this paper, we study the on‐line parameter estimation problem for a partially observable system subject to deterioration and random failure. The state of the system evolves according to a continuous time homogeneous Markov process with a finite state space. The system state is not observable, except for the failure state. The information related to the system state is available at discrete times through inspections. A recursive maximum likelihood (RML) algorithm is proposed for the on‐line parameter estimation of the model. The RML algorithm proposed in the paper is considerably faster and easier to apply than other RML algorithms in the literature, because it does not require projection into the constraint domain and calculation of the gradient on the surface of the constraint manifolds. The algorithm is illustrated by an example using real vibration data. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

并行面向对象数据库中的数据放置

针对并行面向对象数据库的特点,结合异步并行查询执行策略,提出了一种基于对象类的混合式数据放置策略,它包括两个部分:混合式数据划分策略和基于对象类的数据分配策略     

Recursive weighted least squares estimation algorithm based on minimum model error principle

Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system,such as projectile's trajectory estimation and control.While there is a drawback that the prior error covariance matrix and filter parameters are difficult to be determined,which may result in filtering divergence.As to the problem that the accuracy of state estimation for nonlinear ballistic model strongly depends on its mathematical model,we improve the weighted least squares method(WLSM)with minimum model error principle.Invariant embedding method is adopted to solve the cost function including the model error.With the knowledge of measurement data and measurement error covariance matrix,we use gradient descent algorithm to determine the weighting matrix of model error.The uncertainty and linearization error of model are recursively estimated by the proposed method,thus achieving an online filtering estimation of the observations.Simulation results indicate that the proposed recursive esti-mation algorithm is insensitive to initial conditions and of good robustness.     

火控雷达的阵面设计技术

在火控雷达的阵面设计中子阵划分是提高雷达性能的有效手段。对阵面进行建模,得出了使用非规则子阵对天线阵面的精确划分方法。通过仿真给出了典型的阵面划分实例,并分析了阵列在宽带条件下的方向图性能,证明了所设计的阵面在抑制栅瓣方面具有优良的性质,能够提高火控雷达的性能。     

LRE试车数据挖掘中基于最大散度差的模糊聚类分析方法

在对液体火箭发动机试车数据进行聚类分析时,为解决故障数据样本与正常样本类间差异不大的问题,引入最大散度差准则,提出基于最大散度差的聚类算法MSD-CA.该算法以散度度量样本间的相似性,使样本的类内散度最小化和类间散度最大化同时进行.在此基础上,应用模糊理论对最大散度差准则进行模糊化,提出基于最大散度差的模糊聚类算法MS...     

基于可靠度的管道支架结构设计表达式研究

运用可靠度的相关理论及方法,针对管道支架结构的实际情况,考虑了钢筋混凝土结构支架和钢结构支架两种形式的9种常用代表性结构构件,确定了管道支架结构的最优荷栽分项系数以及管道支架结构设计表达式。     

地下空间分区与疏散设计解析

地下空间的利用率越来越高,增加了对空间的使用效率,拓展了人们的生活休闲空间。虽然相关规范对地下空间的安全性做了一些规定,但比较零散,各种数据还不统一,加之受地下空间自身条件所限,设计上很难达到实用与消防安全方面的和谐统一,笔者根据工作实际,对地下空间的分区和疏散问题进行分析和归纳,提出了对民用地下空间防火分区和安全疏散消防设计要点的理解。     

Screening multi-dimensional heterogeneous populations for infectious diseases under scarce testing resources,with application to COVID-19

Testing provides essential information for managing infectious disease outbreaks, such as the COVID-19 pandemic. When testing resources are scarce, an important managerial decision is who to test. This decision is compounded by the fact that potential testing subjects are heterogeneous in multiple dimensions that are important to consider, including their likelihood of being disease-positive, and how much potential harm would be averted through testing and the subsequent interventions. To increase testing coverage, pooled testing can be utilized, but this comes at a cost of increased false-negatives when the test is imperfect. Then, the decision problem is to partition the heterogeneous testing population into three mutually exclusive sets: those to be individually tested, those to be pool tested, and those not to be tested. Additionally, the subjects to be pool tested must be further partitioned into testing pools, potentially containing different numbers of subjects. The objectives include the minimization of harm (through detection and mitigation) or maximization of testing coverage. We develop data-driven optimization models and algorithms to design pooled testing strategies, and show, via a COVID-19 contact tracing case study, that the proposed testing strategies can substantially outperform the current practice used for COVID-19 contact tracing (individually testing those contacts with symptoms). Our results demonstrate the substantial benefits of optimizing the testing design, while considering the multiple dimensions of population heterogeneity and the limited testing capacity.     

面向访问模式的多核末级Cache优化方法

多核处理器架构已经成为当前处理器的主流趋势,应用程序中访问模式的多样性给多核处理器的末级Cache带来了许多挑战。提出了访问模式的多核末级Cache优化方法,它包含"可配置的共享私有Cache划分"、"可配置的旁路Cache策略"和"优先权替换策略"三个协同递进的层次。通过使用该方法,程序员能够灵活地改变末级Cache执行行为,从而高效地适应应用程序访问模式的变化。实验结果表明,提出的方法能够显著降低末级Cache的缺失率,进而提高系统的整体性能。     

低错误平层数列分割移位LDPC码构造算法研究

为降低LDPC码错误平层,提出一种基于环分类搜索的数列分割移位LDPC码构造算法。该算法具有码长、码率和列重的任意可设性,同时该类码的Tanner图围长至少为8。循环移位因子可以通过简单的代数表达式描述,从而降低内存需求。仿真结果表明,当误码率达到10-5时,数列分割移位LDPC(496,248)码相对于PEG-LDPC码获得了约1.9dB的性能提升;且随着信噪比的升高,两条译码性能曲线之间的差距将更为增大。此外,列重为3的数列分割移位LDPC码(6144,5376)在信噪比4.6dB以后并未出现明显的错误平层。该构造算法与PS-LDPC码相比在误码率达到10-8时大约获得0.25dB增益,特别在错误平层区域其译码性能优于围长为4和6的PEG构造算法,其构造复杂度和耗时也相较于PS-LDPC码和PEG-LDPC码构造算法展现出一定优势。通过基于Tanner图的诱捕集分析方法,统计(496,248)APPS-LDPC码中由8环组成的部分小型诱捕集并不存在,从而证明了其错误平层降低的原因。