Approximate sensitivity analysis for acyclic Markov reliability models

Acyclic Markov chains are frequently used for reliability analysis of nonmaintained mission-critical computer-based systems. Since traditional sensitivity (or importance) analysis using Markov chains can be computationally expensive, an approximate approach is presented which is easy to compute and which performs quite well in test cases. This approach is presented in terms of a Markov chain which is used for solving a dynamic fault-tree, but the approach applies to any acyclic Markov reliability model.     

岩性圈闭储层描述技术及应用

本文以高分辨率地震资料为基础，应用测井、钻井等资料，从沉积微相分析入手，建立了以河道砂体、河口坝砂体为主的地质及地震响应模型，并根据地震反射波组特征、地震反演的阻抗值及其他地震属性参数，确定了研究区的砂体变化及其分布规律，总结出一套针对薄互层特点的岩性圈闭识别技术。本文方法在大庆长垣以西古龙和他拉哈西地区的实际应用中取得了明显的效果。     

WINDOWS系统中高效串行通信的实现

介绍了windows环境下串行通信的核心，并以VC 为开发工具给出了I／O函数与API通信函数实现串行通信的具体编程步骤。     

Numerical characterization of a microscale solid-oxide fuel cell

In this study, a single unit of planar micro-solid-oxide fuel cell (μSOFC) is investigated numerically to evaluate the influences of flow channel design, oxygen composition, and thermal operating conditions on cell performance. Four flow channel designs are examined under the co-flow configuration: serpentine, double serpentine, rod bundle, and oblique rib. For all designs, the contacts areas of interconnect to electrodes are kept consistent to maintain the ohmic losses at the same level. To characterize the mass transport effects, there are three different compositions, 100% O₂, 50% O₂/50% N₂ and air, fed to the cathode inlet. Different thermal conditions, adiabatic and isothermal, are applied to the outer boundary of the μSOFC and the results are compared. The outcomes suggest that both thermal conditions and oxidant composition show remarkable influences on μSOFC performance. Under adiabatic conditions, the rise of cell temperature causes a decrease in reversible voltage, deteriorating the overall cell competence. When oxygen is diluted with nitrogen, local gas diffusion becomes dominant to the cathode reaction. Bulk flow, on the other hand, plays a minor role in cell performance since there is little deviation in the polarization curves for all flow channel designs, even at high current densities. For comparison, the flow visualization technique is employed to observe the transport phenomena in various flow channel designs. The flow patterns are found to resemble the concentration distribution, providing a useful tool to design μSOFCs.     

漳泽水库最优兴利调度研究

漳泽水库供水能力下降。优化调度方式是提高水库效益的最有效途径。通过采用随机动态规划方法与模拟模型交互运算得到现行控制水位的水库优化调度图。采用同样方法对不同控制水位的水库运行方式进行优化调度，选出的规划水库最优控制水位为汛限水位９０４ ．５ ｍ ，正常高水位９０５ ．５ ｍ 。优化的控制水位方案在保障水库防洪安全的前提下可供给城市生活和工业用水６ ３００ 万ｍ３ ，较现行控制水位下的供水量提高１ ２５５ 万ｍ３ 。但农业用水仍然不足，应采取一定措施给予解决，如对灌区工程进行改造，因地制宜采取不同节水措施和污水回用等。     

改进了的光场—boson元激发非线性耦合的激光模型

在我们最近提出的光场Ｂ－ｂｏｓｏｎ元激发耦合激光模型的基础上，通过附加一个抽运系统的速率方程，将原先的激光动力学加以改进，以图整个系统的运作趋于更完备的远离平衡自组织。经过这样改动以后，改进后激光动力系统的速率方程组和描述光场与二能级原子相互作用的麦克斯韦－布洛赫方程组在形式上也有其更加相似之处；两者的自由变量与外控参量都有一一对应关系。     

Integrated optimal structural and vibration control design

An integrated design procedure which is composed of structural design, control design, and actuator locations design is proposed in this paper. First, a composite objective function, formed by a structural and a control objective, is optimized in steady state through the homogenization design method. Then an independent modal space control algorithm (IMSC) is performed on this optimal structure to reduce the dynamic response. Finally, to minimize the control force while still obtaining the same modal response for the controlled modes, the optimal choice for actuator locations is discussed.Part of this paper was presented in the First World Congress of Structural and Multidisciplinary Optimization (held in Goslar, Germany, May 28–June 2, 1995).     

下河沉积型瓷石的工艺特性与开发应用的探讨

本文论述了新近在江西下河发现的沉积型瓷石的地质特点、矿石特征、精泥性能、成瓷工艺及其开发应用前景。     

低温快烧无铅精陶釉的研制

采用高温熔融法制备了适用精陶的低温无铅熔块，并应用热膨胀分析仪、SEM等方法研究了精陶釉的光泽度、热稳定性、热膨胀系数等性能。结果表明：采用Li2O，SrO，B2O3等复合熔剂，可以制备出光泽度高，热稳定好，坯釉膨胀系数匹配，结合良好，适于低温快烧工艺的无铅精陶釉。     

基于类标记扩展的半监督网络流量特征选择算法

针对网络流量特征选择过程中存在的样本标记瓶颈问题,以及现有半监督方法无法选择强相关的特征的不足,提出一种基于类标记扩展的多类半监督特征选择(SFSEL)算法。该算法首先从少量的标记样本出发,通过K-means算法对未标记样本进行类标记扩展;然后结合基于双重正则的支持向量机(MDrSVM)算法实现多类数据的特征选择。与半监督特征选择算法Spectral、PCFRSC和SEFR在Moore数据集进行了对比实验,SFSEL得到的分类准确率和召回率明显都要高于其他算法,而且SFSEL算法选择的特征个数明显少于其他算法。实验结果表明: SFSEL算法能够有效地提高所选特征的相关性,获取更好的网络流量分类性能。