A simpler way of obtaining non-sIngularity conditions of rotatability

In response surface designs, it is not usually easy to handle the moment matrix X'X, especially for higher orders. This paper presents a method in which the moment matrix of a response surface of any order can be standardized, i.e., X'X splits into a diagonal matrix consisting of sub-matrices of lower order. This eases the calculation of the determinant and the inverse of X'X. The method has been illustrated with applications to second, third and fourth order response surfaces.     

Bayesian credible intervals for response surface optima

In response surface methodology, one is usually interested in estimating the optimal conditions based on a small number of experimental runs which are designed to optimally sample the experimental space. Typically, regression models are constructed from the experimental data and interrogated in order to provide a point estimate of the independent variable settings predicted to optimize the response. Unfortunately, these point estimates are rarely accompanied with uncertainty intervals. Though classical frequentist confidence intervals can be constructed for unconstrained quadratic models, higher order, constrained or nonlinear models are often encountered in practice. Existing techniques for constructing uncertainty estimates in such situations have not been implemented widely, due in part to the need to set adjustable parameters or because of limited or difficult applicability to constrained or nonlinear problems. To address these limitations a Bayesian method of determining credible intervals for response surface optima was developed. The approach shows good coverage probabilities on two test problems, is straightforward to implement and is readily applicable to the kind of constrained and/or nonlinear problems that frequently appear in practice.     

Cutting Experimental Designs into Blocks

Most experimental material in agriculture and industry is heterogeneous in nature and therefore its statistical analysis benefits from blocking. Many experiments are restricted in time or space, and again blocking is useful. This paper adopts the idea of orthogonal blocking of Box & Hunter (1957) and applies it to optimal blocking designs. This approach is then compared with the determinant-based approach described in the literature for constructing block designs.     

基于变量轮换法的支持向量机在隧道围岩变形预测中的应用

采用变量轮换法对支持向量机(SVM)参数进行优化处理，结合时间序列分析理论，建立起隧道围岩变形时间序列非线性模型，并以此对隧道围岩变形进行预测。结果表明：改进的支持向量机具有简单、方便、实时等特点，对围岩后续变形预报准确，可科学地指导现场监测和施工建设。     

SAW振荡器的相位噪声分析

声表面波振荡器是一种典型的反馈振荡器。根据Ｌｅｅｓｏｎ反馈振荡器相位噪声模型，分析了ＳＡＷ振荡器的相位噪声特点，特别是不同的ＳＡＷ反馈元件，分析结果表明不同的ＳＡＷ反馈元件通常有不同的相位噪声特点。还讨论了降低相位噪声电平，提高振荡器的谱密度的方法和途径     

地表温度过程的时间序列分析

分析了西藏的湍流通量数据和地表温度数据,提出了表征地表温度变化特征的地表温度特征量。运用时间序列分析的方法,得到地表温度特征量和湍流通量之间的传递函数模型,为进一步研究地表温度的时间尺度效应和时间滞后效应打下了基础。     

高可用性双机系统的有限自动机

介绍了提供高可用性的双机系统的原理、部署和体系结构;定义了双机系统各部件功能,描述了子系统间的接口,给出了该双机系统的有限自动机。该自动机具有有限数目的内部状态,模拟了双机系统的工作原理及内部各状态的相互转化,描述了服务切换、进程与服务监控、心跳侦测、网络参考点侦测等过程,为双机系统的行为描述和结构设计提供了理论依据和论证。     

基于支持向量机的传感器非线性误差校正

提出了一种用支持向量机校正传感器非线性误差的原理和方法。该算法只依据样本就可以正确辩识传感器逆模型特征,而不需关于逆模型函数形式的任何先验知识,并将原问题转化为一个凸二次优化问题,能够保证找到的极值解就是全局最优解,具有较好的泛化能力。通过对电容式湿敏传感器误差校正的应用表明:该算法可取得较好的效果。     

用灰色模型预测碳钢表面合金化处理后的耐腐蚀性能

用灰色理论对经表面合金化处理后的碳钢进行耐腐蚀性能预测；就已完成的实际课题，运用灰色理论加以验证、探讨；结果表明，这一预测方法对金属材料耐腐蚀试验有指导意义，并具实用价值。     

后现代话语掩盖下的现实关怀——王蒙小说《青狐》寓意浅探

长篇小说《青狐》的深层寓意,主要是对80年代“极左政治思想回潮”与体制改革滞后的批判。王蒙把一个有关社会历史进程的宏大叙事的题材,巧妙地用“青狐”的恋爱与成名的故事作为包装,使之转换成以“边缘化叙事”的面目出现。这部小说,不仅是王蒙晚年小说艺术更臻成熟的标志,而且,也是中国当代文学中,现实主义话语与后现代主义话语互相磨合而产生新变的一种迹象。