无虚拟节点罚函数位移协调法

基于罚函数提出了一种界面协调技术——无虚拟节点罚函数位移协调法,推导了该界面协调技术的耦合公式,证明了当惩罚参数y趋于无穷大时该方法的解趋于理论解.该方法的刚度矩阵具有对称性、带状性,同时该法还有精度高、计算效率高等优点.最后,通过算例分析,验证了其合理性.     

激光捷联惯导系统角增量输入姿态算法

在对经典理想角增量输入的圆锥算法分析总结基础上,提出并推导了更为合适的经典角增量输入圆锥算法通式.在对经典理想角增量与实际工程滤波角增量的圆锥响应对比分析基础上,推导了滤波角增量输入圆锥补偿算法的补偿系数和误差主项通式.最后,利用文中讨论的理想角增量输入和滤波角增量输入圆锥补偿算法,结合激光陀螺惯性导航系统的频谱特性进行了大量的仿真验证.仿真结果表明,文中讨论的角增量圆锥算法有效,能显著提高激光陀螺捷联惯性导航系统的姿态精度.     

液压减震器动力特性的影响因素研究

介绍了摩托车液压减震器的结构及原理,建立了其动力特性的理论模型。通过数字仿真计算研究了液压油的容性、感性等对减震器动力特性的影响情况,得出了两者影响刚好相反的结论,并与实际测量结果对比,验证了模型的正确性。这对减震器性能优化及结构改进具有指导价值,为建立基于几何尺寸参数的减震器动力特性模型奠定了基础。     

一个串行口Javabean的研究与设计

本文描述了一个基于JavaBean组件标准的串行通信组件的实现原理、实现过程以及实现方法。它将被作为C／S系统的一个组，以实现某些工业控制场合中远程控制的要求。充分利用了Java语言的事件监听机制、串行性、持久性、自检以及JavaBean的定制等特性，并经由Java本地接口（JNI－Java Native Interface)调用硬件控制等底层操作，具体实现了一个串行通信组件必需的功能，如初始化、读写操作等。在所需要的.DLL的支持下，所有安装了Java虚拟机的Windows系统都可以使用这个.Jar文件。     

五自由度磁悬磨头电控系统研究

研究的高速磨床电磁悬浮磨头电控系统尽量采用最新技术，在保证系统 性能的前提下降低了系统造价。在该系统中采用TMS320F240 DSP芯片作为控制核心，同时控制磁悬浮轴承的悬浮和变频电机调速，采用运行效率很高的汇编语言编写控制软件，其中磁悬浮轴承是PID控制算法，电机调速为SPWM方式。磁悬浮轴承PWM功率放大器中采用能简化驱动的新型半桥电路，电机调速主电路中采用智能功率模块（IPM）。动态刚度测试和高速运转实验表明，该电控系统满足高速磨床电磁悬浮磨头的控制要求。     

正交铺设陶瓷基复合材料基体裂纹演化研究(英文)

采用能量平衡法对正交铺设陶瓷基复合材料在单轴拉伸载荷作用下的基体裂纹演化进行了研究。在拉伸载荷的作用下,正交铺设陶瓷基复合材料有5种开裂模式。开裂模式3包括横向开裂、基体开裂和纤维/基体界面脱粘;开裂模式5只包括基体开裂和纤维/基体界面脱粘。本文得到了两条横向裂纹之间出现开裂模式3和5的初始基体开裂应力;并得到了开裂模式3多裂纹演化的初始基体开裂应力。讨论了铺层厚度、纤维体积含量、纤维/基体界面剪应力和界面脱粘能对基体开裂应力和基体裂纹演化的影响。结果表明,对于SiC/CAS材料而言,两条横向裂纹之间首先出现开裂模式3。     

电子信息系统复杂电磁环境效应研究初探

电子信息系统复杂电磁环境效应是指复杂电磁环境对电子信息系统的影响,是一个涉及社会和国防多个应用领域的重要问题.从电子信息系统复杂电磁环境效应概念出发,首先与电磁环境效应概念进行了比较分析,继而将研究分解为复杂电磁环境特性与模拟、复杂电磁环境综合效应机理和电子信息系统效能评估理论三个方面,最后给出了这三个方面的具体研究思路,并探讨了开展研究的一般性方法.     

基于信息融合的网络安全态势量化评估方法

针对目前网络安全态势评估大多存在信息来源单一、评估范围有限、模型不易构建、时空开销大且可信度较低等问题,提出了一种多源异构信息融合量化评估网络安全态势的方法。首先,构建分级朴素贝叶斯分类器,快速高效地融合主机上各多源异构非确定性信息源。然后,利用拉普拉斯原理平滑参数学习,优化分类与推理结果。使用数理统计的方法融合网络上各主机的安全指数,量化评估网络安全态势,对当前网络安全状况有一个宏观整体的认识。最后,通过真实网络环境的实验,验证了所提方法在网络安全态势评估中的可行性和有效性。      

纳米技术

概述本世纪尚未开发的高新技术一纳米技术的兴起和研究进展。     

GRACE gravity field modeling with an investigation on correlation between nuisance parameters and gravity field coefficients

The GRACE (Gravity Recovery And Climate Experiment) monthly gravity models have been independently produced and published by several research institutions, such as Center for Space Research (CSR), GeoForschungsZentrum (GFZ), Jet Propulsion Laboratory (JPL), Centre National d’Etudes Spatiales (CNES) and Delft Institute of Earth Observation and Space Systems (DEOS). According to their processing standards, above institutions use the traditional variational approach except that the DEOS exploits the acceleration approach. The background force models employed are rather similar. The produced gravity field models generally agree with one another in the spatial pattern. However, there are some discrepancies in the gravity signal amplitude between solutions produced by different institutions. In particular, 10%–30% signal amplitude differences in some river basins can be observed. In this paper, we implemented a variant of the traditional variational approach and computed two sets of monthly gravity field solutions using the data from January 2005 to December 2006. The input data are K-band range-rates (KBRR) and kinematic orbits of GRACE satellites. The main difference in the production of our two types of models is how to deal with nuisance parameters. This type of parameters is necessary to absorb low-frequency errors in the data, which are mainly the aliasing and instrument errors. One way is to remove the nuisance parameters before estimating the geopotential coefficients, called NPARB approach in the paper. The other way is to estimate the nuisance parameters and geopotential coefficients simultaneously, called NPESS approach. These two types of solutions mainly differ in geopotential coefficients from degree 2 to 5. This can be explained by the fact that the nuisance parameters and the gravity field coefficients are highly correlated, particularly at low degrees. We compare these solutions with the official and published ones by means of spectral analysis. It is found that our solutions are, in general, consistent with others in the spatial pattern. The water storage variations of the Amazon, Chari and Ganges river basins have also been computed. The variations computed with the NPARB approach are closer to those produced by JPL and DEOS solutions, while the variations produced with the NPESS approach are in good agreement with those produced by the CSR and GFZ solutions. A simulation study is implemented with considering realistic noise and low-frequency error. The two approaches are used to recover the true model. The NPESS solution appears closer to the true one. Therefore we are inclined to estimate the nuisance parameters simultaneously with the geopential coefficients.