Bending of Sector Plates on Elastic Foundations by Bessel Functions

A series solution approach based on the complex Bessel functions is presented in this paper for the analysis of bending of annual sector plates that are simply supported along their straight (or radial) edges, resting on Winkler-type elastic foundations. After a real general solution to a homogeneous differential equation of the bending plates is derived from the complex Bessel functions, the solution to the nonhomogeneous differential equation may be formulated by the general solution. Finally, some numerical examples are given to show the feasibility of this approach.     

H∞ ALMOST DISTURBANCE DECOUPLING FOR MIMO BILINEAR SYSTEMS

The H_∞ almost disturbance decoupling problem is considered. In this paper, a nonlinear design is proposed to find a state feedback controller for bilinear systems. The closed‐loop system is internally stable and achieves disturbance attenuation in nonlinear H_∞ sense. We defined a special form of Lyapunov function, which is constructed in terms of one or a set of positive definite constant matrices. If, except of the origin of system, the corresponding polynomial of the positive definite matrix (or several polynomials relevant to the positive definite constant matrices) has (have) no zero on a given subset of state space, then we can construct a controller to solve our problem. It is found that the controller structure could be complicated, but is feasible in computation and may require optimization technique to search the solution. We consider both SIMO and MIMO cases with illustrated examples.     

多元动态观测过程的数学模型

研究检测、估计、统计、模式识别等所有信息观测问题的一般性通用理论 ,将这些问题都统一用多元动态观测过程来概括 ,着重研究信息从观测客体向观测主体进行传输过程中 ,观测主体关于观测客体的信息的变化情况 .给出了通用的后验概率密度递推算法的数学模型 ,所有研究观测过程的研究人员 ,都可以参考此数学模型来研究具体问题的算法     

Gd5(SixGe1-x)4合金磁热效应的直接测量

为了选择自适应的磁致冷材料,确立更准确的测量方法,利用永磁体作磁场,采用高灵敏温度传感器,直接测量了Ｇｄ５（ＳｉｘＧｅ１－ｘ）４合金样的△Ｔａｄ－Ｔ曲线,并与文献中相同成分的样品间接测量的结果进行了比较,分析了测量结果以及存在的误差。     

几种边缘检测算子的评估

对几种经典的边缘检测算子进行了理论分析,并对各自的性能特点作出了比较和评价。     

Energy management strategy to simplify the hardware structure of wireless sensor nodes

Microsystem Technologies - Maximum power point tracking (MPPT) circuits in photovoltaic (PV) cell-based wireless sensor nodes often make the systems complex and costly. This paper proposes a novel...     

Survey of control performance in quantum information processing

There is a rich variety of physics underlying the fundamental gating operations for quantum information processing (QIP). A key aspect of a QIP system is how noise may enter during quantum operations and how suppressing or correcting its effects can best be addressed. Quantum control techniques have been developed to specifically address this effort, although a detailed classification of the compatibility of controls schemes with noise sources found in common quantum systems has not yet been performed. This work numerically examines the performance of modern control methods for suppressing decoherence in the presence of noise forms found in viable quantum systems. The noise-averaged process matrix for controlled one-qubit and two-qubit operations are calculated across noise found in systems driven by Markovian open quantum dynamics. Rather than aiming to describe the absolute best control scheme for a given physical circumstance, this work serves instead to classify quantum control behavior across a large class of noise forms so that opportunities for improving QIP performance may be identified.     

Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays在大规模系统上优化 TPC-C 评测程序

Transaction processing performance council benchmark C (TPC-C) is the de facto standard for evaluating the performance of high-end computers running on-line transaction processing applications. Differing from other standard benchmarks, the transaction processing performance council only defines specifications for the TPC-C benchmark, but does not provide any standard implementation for end-users. Due to the complexity of the TPC-C workload, it is a challenging task to obtain optimal performance for TPC-C evaluation on a large-scale high-end computer. In this paper, we designed and implemented a large-scale TPC-C evaluation system based on the latest TPC-C specification using solid-state drive (SSD) storage devices. By analyzing the characteristics of the TPC-C workload, we propose a series of system-level optimization methods to improve the TPC-C performance. First, we propose an approach based on SmallFile table space to organize the test data in a round-robin method on all of the disk array partitions; this can make full use of the underlying disk arrays. Second, we propose using a NOOP-based disk scheduling algorithm to reduce the utilization rate of processors and improve the average input/output service time. Third, to improve the system translation lookaside buffer hit rate and reduce the processor overhead, we take advantage of the huge page technique to manage a large amount of memory resources. Lastly, we propose a locality-aware interrupt mapping strategy based on the asymmetry characteristic of non-uniform memory access systems to improve the system performance. Using these optimization methods, we performed the TPC-C test on two large-scale high-end computers using SSD arrays. The experimental results show that our methods can effectively improve the TPC-C performance. For example, the performance of the TPC-C test on an Intel Westmere server reached 1.018 million transactions per minute.