Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems

There are two commonly used analytical reliability analysis methods: linear approximation - first-order reliability method (FORM), and quadratic approximation - second-order reliability method (SORM), of the performance function. The reliability analysis using FORM could be acceptable in accuracy for mildly nonlinear performance functions, whereas the reliability analysis using SORM may be necessary for accuracy of nonlinear and multi-dimensional performance functions. Even though the reliability analysis using SORM may be accurate, it is not as much used for probability of failure calculation since SORM requires the second-order sensitivities. Moreover, the SORM-based inverse reliability analysis is rather difficult to develop.This paper proposes an inverse reliability analysis method that can be used to obtain accurate probability of failure calculation without requiring the second-order sensitivities for reliability-based design optimization (RBDO) of nonlinear and multi-dimensional systems. For the inverse reliability analysis, the most probable point (MPP)-based dimension reduction method (DRM) is developed. Since the FORM-based reliability index (β) is inaccurate for the MPP search of the nonlinear performance function, a three-step computational procedure is proposed to improve accuracy of the inverse reliability analysis: probability of failure calculation using constraint shift, reliability index update, and MPP update. Using the three steps, a new DRM-based MPP is obtained, which estimates the probability of failure of the performance function more accurately than FORM and more efficiently than SORM. The DRM-based MPP is then used for the next design iteration of RBDO to obtain an accurate optimum design even for nonlinear and/or multi-dimensional system. Since the DRM-based RBDO requires more function evaluations, the enriched performance measure approach (PMA+) with new tolerances for constraint activeness and reduced rotation matrix is used to reduce the number of function evaluations.     

并行分布式计算机系统与网络的内在联系分析

分布处理结构在计算机内部从单处理器到多处理器发展，以后逐步向多机系统和计算机网络系统发展，但此时计算机网络的分布处理能力已经有一些重要的本质性变化和发展，具有不同的结构特点和应用环境，文章对并行分布式计算机系统与网络的内在联系进行了详细分析和探讨。     

合成孔径雷达成像处理的并行实现方法

本文提出了一种实现合成孔径雷达（SAR）成像处理的并行距离／多普勒算法，该算法能有效地提高SAR的成像处理速度，是实现SAR实时成像处理的有效途径，该算法尤其适合于超级并行机（MPP）及工作站和微机构成的群机系统进行并行计算。实验结果表明该并行算法能有效地减少SAR成像处理的运算时间。最后给出了原始数据的成像结果。     

光伏发电系统最大功率点跟踪控制及拓扑结构研究的新进展

本文针对光伏器件的特点提出两种新的最大功率点跟踪控制方法：短路电流结合扰动观察法及用非对称模糊控制的扰动观察法。前一种方法在短路电流控制方法的基础上引入了优化扰动步长的扰动观察法，它可有效消除光伏器件输出功率在最大功率点的振荡现象。第二种方法把非对称模糊控制引入传统的扰动观察法，它在光伏器件最大功率点两侧的特性采取不同的扰动步长，可有效消除传统方法在最大功率点处的功率振荡。仿真和实验研究证明：上述两种方法可以快速跟踪外部环境变化，并消除系统在最大功率点的振荡现象。同时本文提出一种新型的用于小功率光伏发电的高频逆变电路，它由buck－boost变换器和电流源高频链逆变器构成。由它来实现光伏模块的最大功率点跟踪，得到与电网同步的电压。该电路结构简单、效率高，光伏模块的最大功率点不受负载变化的影响。该方案通过实验验证。     

A novel analytical model for determining the maximum power point of thin film photovoltaic module

Achieving the maximum power output from photovoltaic (PV) modules is indispensable for the operation of grid‐connected PV power systems under varied atmospheric conditions. In recent years, the study of PV energy for different applications has attracted more and more attention because solar energy is clean and renewable. We propose an efficient direct‐prediction method to enhance the utilization efficiency of thin film PV modules by tackling the problem of tracking time and overcoming the difficulty of calculation. The proposed method is based on the p–n junction recombination mechanism and can be applied to all kinds of PV modules. Its performance is not influenced by weather conditions such as illumination or temperature. The experimental results show that the proposed method provides high‐accuracy estimation of the maximum power point (MPP) for thin film PV modules with an average error of 1.68% and 1.65% under various irradiation intensities and temperatures, respectively. The experimental results confirm that the proposed method can simply and accurately estimate the MPP for thin film PV modules under various irradiation intensities and temperatures. In future, the proposed method will be used to shed light on the optimization of the MPP tracking control model in PV systems. Copyright © 2012 John Wiley & Sons, Ltd.     

基于GC-MS和MassHunter统计方法的芝麻油掺伪识别

目的提出了一种用于芝麻油掺伪识别的新方法。方法为实现芝麻油中掺伪的识别,对掺入不同比例的大豆油、玉米油、棕榈油的芝麻油的40个样品进行近红外分析,并且基于主成分分析对掺入油进行识别;应用固相微萃取-气相色谱/质谱联用仪(SPME-GC/MS)和Mass Hunter软件,对于玉米油掺伪芝麻油的风味质谱数据进行了研究。结果 Mass Hunter解卷积软件和Agilent Mass Profiler Professional数据统计软件更加灵敏地从复杂包埋的目标物剖析分离得到了独特的标记物。倍率变化(FC=5)分析和ANOVA(P=0.05)分析的结果以火山曲线表示,确定区分芝麻油和玉米油的独特特征标记物。基于此独特的标记物,通过主成分分析,可对纯芝麻油和掺伪芝麻油进行分类。结论试验证明通过统计分析风味质谱数据寻找特征标记物可解决芝麻油掺伪的识别问题。     

聚磷酸三聚氰胺/季戊四醇/水滑石阻燃体系改性EVA热塑性弹性体的研究

采用聚磷酸三聚氰胺/季戊四醇（MPP/PER）膨胀阻燃体系与水滑石（LDH）并用阻燃改性乙烯—醋酸乙烯酯（EVA）热塑性弹性体。结果表明,当EVA/MPP/PER/LDH质量比为60/20/10/10时,复合材料阻燃级别达到UL94V-0,极限氧指数（LOI）为30.6%。TGA分析结果表明,阻燃体系MPP/PER和LDH协同效应提高了EVA热分解残留率。炭层扫描电镜（SEM）分析表明,MPP/PER与LDH协同作用有利于形成连续致密的炭层,提高了EVA/MPP/PER/LDH复合材料的阻燃性能。     

Experimental Investigation into a Novel Modular PEMFC Fuel Cell Stack

The polymer electrolyte membrane fuel cell (PEMFC), despite being regarded as an ideal replacement to the internal combustion engine, is still not an economically attractive prime‐mover due to a number of key challenges that have yet to be fully resolved; such as degradation to cell components resulting in inadequate lifetimes, specialized manufacturing processes, and poor gravimetric/volumetric energy densities. This paper presents a stack concept which replaces the conventional bipolar plate (BPP), a component that is responsible for a large proportion of stack cost and volume in traditional fuel cell stack designs. The stack architecture compromises of active and passive components which are suited to mass manufacture and maintain functionality that the BPP fulfilled. Furthermore, the design allows the implementation of a fault tolerant system (FTS) which can bypass faulty cells while still ensuring electrical output. The stack architecture is presented and characterized over a number of operating scenarios. The experimental studies suggest that the performance of the new design is similar to that of traditional stacks over a number of operating conditions despite the removal of the BPP and the FTS continued to operate at a desired operating criterion despite the loss of a cell within the stack     

并行处理任务级仿真环境的研究及实现

并行处理仿真为并行系统的建模分析，并行算法的模拟执行以及并行环境的性能评价提供支持，本文利用任务相关仿真时钟和重叠时间片建立了一种支持完全并和用户并发方式的并行多任务模型，并结合对不同调度算法和互连结构的仿真实验，着重分析了任务调度对系统性能的影响以及互连网络技术与通信开销的关系。同时，仿真环境还提供模拟执行的并发度曲线和任务执行踪迹供和户分析调试并行程序。     

Image processing on MPP: 1

The Massively Parallel Processor (MPP) is a 128 by 128 array of processing elements that communicate with their horizontal and vertical neighbors by shifting data one bit at a time. This paper describes the efficient use of MPP for various types of image processing operations, including point and local operations, discrete transforms and computation of image statistics. A comparison between MPP and ZMOB (a system consisting of 256 microprocessors) is also presented.