建筑用钎焊合金的热腐蚀行为研究

研究了建筑用钎焊合金BCo46、DZ468和BNi-2在热腐蚀条件下的腐蚀行为。结果表明,在热腐蚀条件下,合金BCo46的抗腐蚀能力强于合金DZ468和BNi-2。3种合金在热腐蚀环境中都出现了硫化物析出和氧化薄膜溶解现象。     

利用测井新技术重新评价文46断块潜力

利用碳氧比测井和注硼中子寿命测井对文46断块的油水层进行了定性、定量解释方法的研究和探讨，建立了含油饱和度计算模型，确定了油水层的解释标准，并对该断块进行了全面的精细解释，利用测井与地质相结合的综合方法落实了解释成果的可靠性。     

气象实时显示模拟系统

采用HOLTEK生产的AD型单片机HT46R232作为主控制芯片,实时的对大气条件参数温度、湿度、风向和风速进行采集和测定,经过相应的处理后,使用LED显示,并根据气象条件为行人外出提供出行适宜参考指数。同时本系统具有时间显示和设定功能。     

Robust model selection with flexible trimming

The forward search provides data-driven flexible trimming of a C_p statistic for the choice of regression models that reveals the effect of outliers on model selection. An informed robust model choice follows. Even in small samples, the statistic has a null distribution indistinguishable from an F distribution. Limits on acceptable values of the C_p statistic follow. Two examples of widely differing size are discussed. A powerful graphical tool is the generalized candlestick plot, which summarizes the information on all forward searches and on the choice of models. A comparison is made with the use of M-estimation in robust model choice.     

基于HT46RU232的全自动体检仪

设计了一种全自动体检仪,高效、精确、实时地实现常规体检项目的自动测量.以HT46RU232单片机为下位机,以LabVIEW软件开发的程序为上位机.该体检仪高效、精确、实时地实现了常规体检项目的自动测量,并可根据需要输出相应的电子和纸质报告,还具有防背诵作弊、防盗版功能.此设计是对传统常规体检的一种廉价、高效的替代方案,...     

Nonsmooth optimization for multiband frequency domain control design

Multiband frequency domain synthesis consists in the minimization of a finite family of closed-loop transfer functions on prescribed frequency intervals. This is an algorithmically difficult problem due to its inherent nonsmoothness and nonconvexity. We extend our previous work on nonsmooth H_∞ synthesis to develop a nonsmooth optimization technique to compute local solutions to multiband synthesis problems. The proposed method is shown to perform well on illustrative examples.     

A reactive GRASP and path relinking for a combined production–distribution problem

An NP-hard production–distribution problem for one product over a multi-period horizon is investigated. The aim is to minimize total cost taking production setups, inventory levels and distribution into account. An integer linear model is proposed as a compact problem specification but it cannot be solved to optimality for large instances. Instead of using a classical two-phase approach (production planning and then route construction for each day), metaheuristics that simultaneously tackle production and routing decisions are developed: a GRASP (greedy randomized adaptive search procedure) and two improved versions using either a reactive mechanism or a path-relinking process. These algorithms are evaluated on 90 randomly generated instances with 50, 100 and 200 customers and 20 periods. The results confirm the interest of integrating production and distribution decisions, compared to classical two-phase methods. Moreover, reaction and path-relinking give better results than the GRASP alone.     

Low-rank Kronecker-product Approximation to Multi-dimensional Nonlocal Operators. Part I. Separable Approximation of Multi-variate Functions

The Kronecker tensor-product approximation combined with the -matrix techniques provides an efficient tool to represent integral operators as well as certain functions F(A) of a discrete elliptic operator A in ℝ ^d with a high spatial dimension d. In particular, we approximate the functions A ⁻¹ and sign(A) of a finite difference discretisation A∈ℝ ^{N × N} with a rather general location of the spectrum. The asymptotic complexity of our data-sparse representations can be estimated by (n ^p log ^q n), p = 1, 2, with q independent of d, where n=N ^{1/ d} is the dimension of the discrete problem in one space direction. In this paper (Part I), we discuss several methods of a separable approximation of multi-variate functions. Such approximations provide the base for a tensor-product representation of operators. We discuss the asymptotically optimal sinc quadratures and sinc interpolation methods as well as the best approximations by exponential sums. These tools will be applied in Part II continuing this paper to the problems mentioned above.     

H ∞ and Robust Control of 2-D Systems in FM Second Model

This paper deals with output feedback stabilization and H _{46x91nkbg/xxlarge8734.gif" alt="infin" align="MIDDLE" BORDER="0">} control problems for two-dimensional (2-D) discrete linear systems without or with parameter uncertainty. The class of systems under investigation is described by the 2-D local state space Fornasini-Marchesini second model. We aim at designing a dynamical output feedback controller to achieve asymptotic stability and H _{46x91nkbg/xxlarge8734.gif" alt="infin" align="MIDDLE" BORDER="0">} performance for the 2-D system. It is shown that the design of output feedback controller can be recast into a convex optimization problem characterized by linear matrix inequalities (LMIs). The LMI solution is further extended to solve the robust stabilization problem for 2-D systems subject to norm-bounded uncertainty. The solutions for the H _{46x91nkbg/xxlarge8734.gif" alt="infin" align="MIDDLE" BORDER="0">} control and robust stabilization are applied to two application examples: thermal process control and robust stabilization of processes in Darboux equation.