高灵敏电荷耦合器件荧光检测—卡尔曼滤波影响因素研究

本文应用高灵敏电荷耦合器件荧光检测，根据实际测量数据叠加一定程度误差得到的模拟数据及选取不同的计算参数，对影响卡尔曼滤波结果因素，进行了较为系统的研究，找到了一些规律，提高了多组份分析的准确度。     

高耐光/耐化学性的核壳型荧光纳米微球的制备

选取不溶于水的、光/热稳定性优良的荧光溶剂染料, 采用改进的细乳液(Miniemulsion)聚合反应, 将染料分子以分散状态牢固地嵌入交联的纳米聚合物基质中, 然后结合种子聚合反应技术构建生物相容性壳层, 制备出发射橙、黄、绿和青色光的系列核壳型荧光纳米微球. 获得的核壳型荧光纳米微球的平均粒径小于40 nm, 粒度较均一, 其水胶体具有优异的储存稳定性, 较高的光/化学稳定性和发光效率; 纳米微球的交联壳层表面富含与蛋白质、核酸等相容的羧基. 该制备方法简便可控, 原材料易得, 成本低廉, 也可选用含氨基、巯基和羟基等化学修饰基团的壳层单体来构建多样化的纳米微球壳层.     

A Novel Approach for the Surface Modification of Polymeric Membrane with Phospholipid Polymer

A new economic and convenient method to modify the surface of microporous polypropylene (PP) membranes with phospholipid polymer was given. The process included the photo-irradiated graft polymerization of N,N-dimethylaminoethyl methacrylate (DMAEMA) and the ring-opening reaction of the grafted polyDMAEMA with 2-alkyloxy-2-oxide-1,3,2-dioxo-phospholanes (AOP). Four AOPs, whose alkyloxy groups consisted of dodecyl, tetradecyl,hexadecyl and octadecyl moieties, were used to convert the grafted polyDMAEMA to phospholipidpolymers. FT-IR spectra confirmed the chemical change of membrane surface. Platelets adhesion experiment indicated that PP membrane with excellent blood compatible surface could be fabricated by this method.     

金属应变电化学研究进展

从宏观应变电化学现象，到微观层次的局部裂纹环境测量与模拟、裂纹扩展预测模型化、再钝化法确立裂纹扩展速率以及应变电化学过程控制等方面，综述了金属应变电化学的发展历程和主要的研究进展。     

卡尔曼滤波伏安分析法同时测定钴(Ⅱ)、镍(Ⅱ)、锌(Ⅱ)

卡尔曼滤波（ＫＹ）用于解析互相干扰离子的Ｃｏ（Ⅱ）、Ｎｉ（Ⅱ）、Ｚｎ（Ⅱ）的伏安重叠峰。用该法对钢铁试样中的这些离子进行了测试，效果良好。设计了ＢＡＳＩＣ程序，将有关数据输入后，直接给出结果。为保证结果准确度，程序中设置了两个监控出口。     

α-强增生算子零点的迭代逼近

设E为一致光滑Banach空间,A：E→E为有界次连续α-强增生算子满足：对某x_0∈E,α(r)＞|Ax_0|．设{C_n}为[0,1]中数列满足控制条件：(i)C_n→0(n→∞)；(ii)sum from∞to n=0 C_n=∞．设{x_n}n≥0由下式产生：x_n 1=x_n-C_nAx_n,n≥0,(@)则存在常数a＞0,当C_n＜a时,{x_n)强收敛于A的唯一零点x~*．     

卡尔曼滤波在罗经航向智能采集中的运用

总结了自整角机轴角的采集方法，分析了自整角机轴角编码原理，介绍了卡尔曼滤波罗经航向采集过程的应用方法，试验表明：该方法可以显地提高对航向的跟踪速度和动态跟踪精度。     

Characteristics of Microwave Discharge in a Modified Surfaguide with a Large Diameter

The characteristics of the microwave discharge are studied in a modified surfaguide with a large diameter. Ex-perimental results show that there exist three discharging modes, one is the plasma mode, and the others are the waveguide modes. The discharge can jump between one of the wavegudde modes and the plasma mode, and the corresponding hysteresis loop is influenced by the discharging pressure. In the higher pressure region, the hysteresis loop is wide enough so that the discharge in each mode is stable. In the middle pressure region, the discharge becomes unstable as a result of the hysteresis loop being sufficiently narrow. When the gas pressure is further decreased, the plasma mode disappears, while the mode jumps between the two wavegulde modes always appear and are stable in the discharge region we have explored.     

DYNAMIC OPTIMIZATION FOR UNCERTAIN STRUCTURES USING INTERVAL METHOD

An interval optimization method for the dynamic response of structures with interval parameters is presented. The matrices of structures with interval parameters are given. Combining the interval extension with the perturbation, the method for interval dynamic response analysis is derived. The interval optimization problem is transformed into a corresponding deterministic one. Because the mean values and the uncertainties of the interval parameters can be elected design variables, more information of the optimization results can be obtained by the present method than that obtained by the deterministic one. The present method is implemented for a truss structure. The numerical results show that the method is effective.     

基于改进BP神经网络的组合预测模型设计

为提高预测精度,解决非线性组合预测中的困难,利用改进BP神经网络对非线性组合预测模型进行了设计.讨论了模型设立的原则和一般程序,比较其与传统的组合预测方法之间的优劣,并给出实例加以验证.结果显示,基于改进BP神经网络的非线性组合预测模型能够准确描述系统中的非线性,提高预测精度.