不确定环境下的越库调度的模型及算法

研究不确定环境下的直运入厂物流调度问题。目标函数是最小化最大完工时间。供应商和客户到配送中心的运输时间的期望值和方差已知,运输时间均服从正态分布。首先研究确定性和不确定情形下的最优解差距。然后提出适用于确定和不确定情形下的带参数启发式算法,并给出面向不确定性环境的较优启发式算法,数值实验表明该算法的有效性。     

Classification of Statistical Models Used in Analyzing Comparisons of Test,Checking, and Calibration Laboratories

Five statistical models are considered for interlaboratory comparisons, which are based on either a priori information (available before the measurements are made) and a posteriori information (obtained after the measurements).__________Translated from Izmeritel’naya Tekhnika, No. 5, pp. 3–8, May, 2005.     

Model Assisted Probability of Detection Curves: New Statistical Tools and Progressive Methodology

The probability of detection curve is a standard tool in several industries to evaluate the performance of non destructive testing (NDT) procedures for the detection of harmful defects for the inspected structure. Due to new capabilities of NDT process numerical simulation, model assisted probability of detection (MAPOD) approaches have also been recently developed. In this paper, a generic and progressive MAPOD methodology is proposed. Limits and assumptions of the classical methods are enlightened, while new metamodel-based methods are proposed. They allow to access to relevant information based on sensitivity analysis of MAPOD inputs. Applications are performed on eddy current non destructive examination numerical data.     

Parameter-Estimation Algorithms for Characterizing a Class of Isotropic and Anisotropic Viscoplastic Material Models

A number of robust, and computationally efficient, algorithms arepresented for the development of an overall strategy to estimate thematerial parameters characterizing a class of complex viscoplasticmaterial models (i.e., rate dependent plastic flow, nonlinear kinematichardening, thermal/static recovery, isotropic and anisotropic, etc.). Theentire procedure is automated through the integrated software COMPARE(an acronym for COnstitutive Material PARameter Estimator) to enable thedetermination of an `optimum' set of material parameters by minimizingthe errors between the experimental test data and the predictedresponse. The key ingredients of COMPARE are: (i) primal analysisutilizing the unconditionally-stable, fully implicit, integration schemefor the models' underlying flow and evolutionary rate equations; (ii) sensitivity analysis utilizing a direct-differentiation approach (i.e.,explicit, `exact' expressions are derived); (iii) a gradient-basedoptimization technique of an error/cost function; and (iv) graphicaluser interface. The estimation of the material parameters is cast as aminimum-error, weighted-multi-objective, nonlinear optimization problemwith constraints. Comparison between the sensitivities obtained by theproposed direct scheme and those produced by conventional finitedifference techniques is presented to assess accuracy. Detailedderivations are given, together with the results generated by applyingthe developed algorithms to a comprehensive set of test matrices. Theseinclude constant strain-rate tension, creep, and relaxation tests, forboth isotropic as well as anisotropic behaviors.     

亚微米聚焦离子束的像散检测与校正技术

介绍了二级透镜聚焦离子束系统中像散的检测技术与校正技术。详细叙述了像散检测的原理、方法以及像散校正系统的工作原理、电子线路和具体结构。     

Stochastic artificial retinas: algorithm, optoelectronic circuits, and implementation

An analogy can be established between image processing and statistical mechanics. Many early- and intermediate-vision tasks such as restoration, image segmentation, and motion detection can be formulated as optimization problems that consist in finding the ground states of an energy function. This approach yields excellent results, but, once it is implemented in conventional sequential workstations, the computational loads are too extensive for practical purposes, and even fast suboptimal optimization approaches are not sufficient. We elaborate on dedicated massively-parallel integrated circuits, called stochastic artificial retinas, that minimize the energy function at a video rate. We consider several components of these artificial retinas: stochastic algorithms for restoration tasks in the presence of discontinuities, dedicated optoelectronic hardware to implement thermal motion by photodetection of speckles, and hybrid architectures that combine optoelectronic, asynchronous-analog, and clocked-digital circuits.