压力传感器的应力计算

从弹性力学的板壳理论出发,对不同参数的凸型板结构形变膜受压后的应力分布作了近似计算,为高线性度SOI压力传感器的芯片设计提供了理论指导。用BESOI技术研制的凸型板结构集成压力传感器的非线性度达0 09%,样品灵敏度的实测值与应力计算理论值的差别约17%。     

被Kerr介质包围的J—C模型中光场位相特性

本文应用Pegg-Barnett位相理论讨论了被Kerr介质包围的J-C模型中光场的位相性质。     

布喇格光纤光栅反射特性及制作的理论研究

在对光纤光栅折射率分布进行合理假设的基础上,运用耦合模理论计算了光纤光栅的反射特性,对其反射特性与相关参数的关系进行了分析,并且还推导出了用相位掩模法制造光纤光栅的理论根据,得到了一些有益于光纤光栅制造的结论和有用公式。     

基于约束的设备维修方式选择

企业选择合理的设备维修方式，对提高企业竞争力及企业经济效益有重要影响。将约束理论应用于设备维修方式选择中，分析设备系统约束的特征，识别设备系统约束，区分关键设备与非关键设备部分，并对2个中分分别选择不同的维修方式及组合，可在改善设备系统输出效率同时提高维修的效用。通过实例分析，指明约束理论在设备维修方式选择中的实际应用步骤与程序。这为约束理论在设备管理中的进一步应用提供一个参考。     

Mean-square stability for discrete bilinear systems in Hilbert space

A discrete system is uniformly mean-square stable if uniform convergence is preserved between input and state correlation sequences, and if nuclearity is preserved between the input and state correlation limits. This paper supplies a contraction-free condition ensuring mean-square stability for infinite-dimensional bilinear systems evolving in a separable Hilbert space.     

Development and implementation of a NURBS curve motion interpolator

This paper deals with the issues of development and implementation of a real-time NURBS interpolator for a six-axis robot. Using an open-architecture controller system as a testbed, a real-time NURBS curve interpolator was developed, implemented and tested. Sample runs were conducted with the resulting trajectories measured in real-time during robot motion. The resulting trajectories are analyzed, discussed and compared with those from a commonly used point-to-point approximation technique. The real-time NURBS curve interpolator's feasibility, advantages and related issues are also discussed.     

铁铝酸盐复合膨胀水泥化学预应力机理及其应用研究

本文阐述铁铝酸盐自应力混凝土的主要物理力学特征.研究了限制膨胀应变与配筋率之间的定量函数关系.通过正交试验和方差分析,确定了复合外加剂对其性能的影响.针对其在自应力管中的应用,提出多层中空圆柱理论计算模型,按弹性理论计算出自应力管初始应力分布规律.对比以前的线性理论计算误差,给出相应的修正系数.本文对类似的自应力混凝土,具有普遍的指导意义.     

Nonnegative integral subset representations of integer sets

We consider an integer-subset representation problem motivated by a medical application in radiation therapy. We prove NP-completeness, derive nontrivial bounds, and report on the performance of a greedy heuristic.     

Information cut for clustering using a gradient descent approach

We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between probability density functions. We propose to optimize the Information Cut using a gradient descent-based approach. Our algorithm has several advantages compared to many other graph-based methods in terms of determining an appropriate affinity measure, computational complexity, memory requirements and coping with different data scales. We show that our method may produce clustering and image segmentation results comparable or better than the state-of-the art graph-based methods.