Generalized Confidence Sets for a Statistically Indeterminate Random Vector

A problem is considered for the construction of confidence sets for a random vector, the information on distribution parameters of which is incomplete. To obtain exact estimates and a detailed analysis of the problem, the notion is introduced of a generalized confidence set for a statistically indeterminate random vector. Properties of generalized confidence sets are studied. It is shown that the standard method of estimation, which relies on the unification of confidence sets, leads in many cases to wider confidence estimates. For a normally distributed random vector with an inaccurately known mean value, generalized confidence sets are built up and the dependence of sizes of a generalized confidence set on the forms and parameters of a set of possible mean values is examined.     

Optimizing Blood Assignment in a Donation–Transfusion System

A multi-product, multi-period, multi-objective linear programming model has been built as a contribution to good management of a blood donation–transfusion system in order to determine the best assignment of blood resources to demand, which minimizes the quantity of blood imported from outside the system and stabilizes the quantities assigned daily. The model has been applied to the Italian Red Cross (CRI) blood donation–transfusion system in Rome and to each hospital belonging to such a system, producing interesting results.     

连续混料系统优化研究

在分析了现场工艺的情况下,提出时间序列预测与控制策略相结合的方法,用于提高螺旋加料定量称重系统的精度,并在现场得到了应用。     

ORACLE数据库应用系统的优化策略

大型ORACLE数据库应用系统的运行效率对用户来说是至关重要的,在应用系统的设计阶段、开发阶段、运行阶段都应该有相应的优化策略来保证。这三个阶段中的程序设计结构、数据库库结构、SQL语句以及ORACLE数据库系统参数设置等方面的优化策略在文中得到了论述。     

集群文件系统的性能最优化配置

集群文件系统是当前存储系统的研究热点.在资源一定的条件下,存储系统中元数据服务器和数据存储服务器节点及客户端节点数量之间的配置比例会对系统性能产生较大的影响.分析了lustre集群文件系统的参数配置,针对两种典型应用环境:文件服务和Web服务,测试了不同节点数和不同lustre条块大小配置下的系统性能;通过对比分析,得出lustre集群文件系统最优化配置,为提高集群文件系统性能提供参考.测试结果显示.当lustre文件系统的OST节点数与client节点数相当时系统性能最好.     

网络化制造资源优化配置DSS的优化模型研究

首先简介了网络化制造资源优化配置决策支持系统的体系结构及决策过程,在此基础上讨论了优化配置关键技术—EMP优化模型的两种实现方法:EMP综合评判及基于遗传算法的EMP优化方法,最后针对基于多目标遗传算法的EMP优化模型,设计了实现算法。     

Statistically Robust Detection of Multiplicative Spread-Spectrum Watermarks

The uncertainties in host signal modeling due to inherent model errors and various attack distortions have prompted the introduction of robust statistics theory in the context of watermark detection. Specifically, the epsi-contamination model was applied to describe the host signals, and statistically robust (SR) watermark detectors assuming known embedding strengths were derived. In this work, we investigate the robust detection structure for multiplicative watermarking. A detection-simulation (DS)-based approach to determine the contamination factor is also presented. Moreover, considering that the strengths of the watermark signals may be adapted to host signals and will very likely change after being distorted by attacks, we go further to propose the asymptotically robust detector for multiplicative watermarks, which can be viewed as the SR counterpart of the locally most powerful watermark detector in the same sense that the SR detector with full knowledge of the watermark strengths is the corresponding parallel for the optimum detector. Experiments on real images demonstrate the superiority of the new schemes over the conventional ones     

Statistically appraising process quality of affinity isolation experiments

Quality affinity isolation experiments are necessary to identify valid protein-protein interactions. Biological error, processing error, and random variability can reduce the quality of an experiment, and thus hinder the identification of protein interaction pairs. Appraising affinity isolation assay quality is essential to inferring protein associations. An important step of the assay is the mass spectrometric identification of proteins. To evaluate this step, a known mixture of proteins is processed through a mass spectrometer as a quality control mixture. If the mass spectrometer yields unexpected results, the process is currently qualitatively evaluated, tuned, and reset. Statistical quality control (SQC) procedures, including the use of cumulative sum, the individual measurement, and moving range charts are implemented to analyze the stability of the mass spectrometric analysis. The SQC measures presented can assist in establishing preliminary control limits to identify an out-of-control process and investigate assignable causes for shifts in the process mean in real time.     

面向NUMA集群的代数多重网格算法优化

代数多重网格(AMG)是众多数值模拟应用的核心算法,在基于多核的NUMA架构的机群系统上,AMG的并行扩展性暴露了新的问题。通过设计感知NUMA架构的内存分配器,将划分给多个线程的数据分割并绑定到运行对应线程的CPU所属的NUMA存储节点上,从而改善了OpenMP多线程并行的数据局部性,使BoomerAMG程序在大规模多核计算平台上具有更好的并行扩展性。在单节点和小规模机群的测试中,使用NAAlloc分配器分别获得了最高16%和60%的性能提升。     

通用ATS开关系统建模及优化配置

对通用自动测试系统ATS的硬件架构进行了研究,指出了其开关系统的重要性;在付新华肖明清袁大勇陈伟明此基础上,建立了开关系统的矩阵模型,并给出了开关资源级联的算法,实例证明算法是有效的;基于开关系统矩阵模型,对开关资源的优化配置、测试的并行性和故障开关的屏蔽等问题进行了研究.开关系统模型的提出及研究成果方便了测试软件的编写,提高了软件的可移植性,同时可以给自动测试系统开发人员提供有效指导.     

A Rule-Based System for Optimizing Combinational Logic

SOCRATES is a rule-based expert system that optimizes combinational logic for a specific target technology. The system performs substitutions of equivalent gate configurations, thereby reducing the overall area of the implementation and improving the speed of the design. A control mechanism uses various backup strategies to choose the rules applied to the circuit. Users can easily extend the library of transformation rules through a rule generation module that automatically encodes rules and inserts them into the knowledge base. Timing constraints placed on the circuit can be modified to allow the designer to explore a large design space in a matter of minutes. Implementations generated by the system are comparable in area and speed to circuits designed by experts.     

浅谈基于TUXEDO的应用系统优化策略

TUXEDO中间件在许多关键领域如金融、电信、邮政、航空得到了应用。本文在三层模式下的设计思想、数据库连接及事务处理方式、TUXEDO的Server及Service的组织、数据压缩方式等方面论述了如何优化基于TUXEDO的应用系统。     

航空货运系统数据库的存储优化设计

开源数据库MySQL越来越广泛地应用于航空公司的信息系统,在深入分析航空货运系统数据特点的基础上,提出了联合使用内存和磁盘存储引擎的方法,用InnoDB存储业务数据,用Memory存储基础数据,大大提高了表连接操作的性能。针对内存表的永久保存问题,用写回相关磁盘表的方法加以解决。     

计算机智能仿真优化控制系统

本文介绍一种采用独特智能仿真技术研究成功的生产工艺优化新方法以及在线使用的智能仿真优化系统，该系统在不改动生产设备的条件下，通过优化工艺条件，实现优质高产，为老企业改造带来了生机，为实现计算机优化控制提供了一条有效途径。     

单量子比特系统状态的在线估计

针对具有退相干效应与测量反馈随机噪声的随机开放量子系统, 采用对状态影响较弱的连续弱测量在线获取一系列状态的部分信息, 实现量子状态的在线估计.由泡利矩阵构造初始测量算符, 并推导出在线的随时间变化的测量算符; 基于压缩传感理论来减少测量次数; 采用最小二乘优化算法对自由演化中的量子密度矩阵状态进行重构, 完整地给出了量子态在线估计的过程.所提出的在线量子态估计方案, 在一个量子位系统上进行了系统仿真实验.数值仿真实验结果表明, 在满足压缩传感理论的条件下, 仅需2次连续弱测量所得到的测量值之后, 就可以高精度地实现在线变化的单比特量子密度矩阵估计.     

Set-Theoretic Estimation of Hybrid System Configurations

Hybrid systems serve as a powerful modeling paradigm for representing complex continuous controlled systems that exhibit discrete switches in their dynamics. The system and the models of the system are nondeterministic due to operation in uncertain environment. Bayesian belief update approaches to stochastic hybrid system state estimation face a blow up in the number of state estimates. Therefore, most popular techniques try to maintain an approximation of the true belief state by either sampling or maintaining a limited number of trajectories. These limitations can be avoided by using bounded intervals to represent the state uncertainty. This alternative leads to splitting the continuous state space into a finite set of possibly overlapping geometrical regions that together with the system modes form configurations of the hybrid system. As a consequence, the true system state can be captured by a finite number of hybrid configurations. A set of dedicated algorithms that can efficiently compute these configurations is detailed. Results are presented on two systems of the hybrid system literature.      

Statistically optimized FOPID for output force control of SEAs

Fractional order PID (FOPID) controllers have recently found an increasing application in different fields of control. Comparing to traditional PID algorithms, FOPID controllers provide more flexibility and better performances. The simple and non-model-based structure of FOPID controllers has boosted their usage in real-world applications. However, due to having two more control parameters than regular PID controllers and the non-linear structure of FOPID controllers, the tuning procedure of these controllers is still a challenge. The authors of the present paper have recently proposed a Taguchi-based gain tuning algorithm for tuning of control parameters of FOPID controller. The present paper is an experimental evaluation of the proposed method. A custom made SEA, FUM-LSEA, is used as the test bed in this study. Deriving a dynamic model of the FUM-LSEA, feed-forward terms are added to the controller to compensate for disturbances from motions of the output block. Optimal gains and orders of the controller are obtained through a set of experiments suggested by the Taguchi method. The Taguchi optimized controller is also compared to a Ziegler–Nichols tuned controller. The experimental results indicate 45% improvements in force tracking error.     

Statistically monotonic and statistically bounded sequences of fuzzy numbers

We introduce the statistical monotonicity and boundedness of a sequence of fuzzy numbers. We also derive the analogue of monotone convergence theorem and prove the decomposition theorems for this type of sequences.