基于Agent的分布式入侵检测系统研究

为了提高入侵检测系统在体系结构上的灵活性、提高入侵检测的速度,本文将Agent技术应用于入侵检测,探讨了基于Agent的入侵检测技术和模型。首先分析了网络安全及入侵检测系统的研究现状及发展趋势,以及入侵检测技术在网络安全中的重要地位和作用。在对入侵检测技术及Agent技术深入分析的基础之上,提出了一种基于Agent的入侵检测系统模型,研究了构成基本构架的各个子系统在整个模型中的作用及相互关系,给出了各自的设计实现方法,并重点讨论了基于Agent的分布式入侵检测系统模型的通信问题。     

炼油厂成品油罐区调度优化问题研究

研究了以集合论为基础的调度优化模型。给出了该离散型优化问题的求解算法。根据优化结果，在G2实时智能平台上开发了包含监视子系统和调度子系统的调度支持系统。在中国石化股份有限公司长岭分公司的试用结果表明，该调度系统可以提高炼油厂的生产效率，从而提高炼油厂的经济效益。     

Numerical Study of Finite Element Method Based Solutions for Propagation of Wetting Fronts in Unsaturated Soil

The accurate prediction of the propagation of a wetting front in an unsaturated soil subjected to surficial infiltration is of practical importance to many geotechnical and geoenvironmental problems. The finite element method is the most common solution technique as the hydraulic soil properties are highly nonlinear. Two important issues are often found to create difficulties in such analyses. First, numerical oscillations are usually observed in the calculated pore pressures at the wetting front. Second, when a reasonable mesh size and time step are used, the elevation of the wetting front may be seriously overpredicted. This paper is focused on the second issue. The under-relaxation (UR) technique used in the iterative process within each time step is found to have a serious impact on rate of convergence with refinement in mesh size and time step. Two different techniques are typically used; the first evaluates the hydraulic conductivity using an average of heads calculated from the preceding time node and the most recent iteration of the current time node (UR1), and the second evaluates the hydraulic conductivity using the average of heads calculated from the two most recent iterations of the current time nodes (UR2). The study shows that UR1, which is adopted in programs such as SEEP/W, ensures that the solution converges rapidly to a stable solution within a time step, but may converge to the wrong wetting front at a given elapsed time unless a sufficiently refined mesh is used. UR2 converges much more slowly within a time step, but the error in the wetting front is smaller than that generated by UR1.     

组合结构体的控制爆破拆除

根据待拆构筑物的结构特点和周围环境，分析论述构件倒塌的可能性。因地制宜选择，制定出合理的爆破方案。并通过对爆破参数，起爆网络，安全防护等进行精心设计和施工，拆除爆破达到了预期的效果。     

应用AR模型的IMU误差系数漂移预测研究

将影响IMU误差系数漂移并难于分离的多种因素综合为一种因素，假定IMU误差系数的漂移由一特定系统所引起，从而采用时间序列建模方法进行IMU误差系数漂移的预测。该方法具有消除各因素具体分析中的不确定性并减少其工作员的优点。文中描述了其原理，对某惯组的33个误差系数进行了时间序列建模与预测并得到有效的结果。最后还阐述了存在的问题及其解决方法。     

反铁磁晶体的红外频率特性

研究了红外频段非线性s偏振表面波在反铁磁晶体和电介质交界面上的频率特性，求出了非线性色散方程，揭示了非线性s偏振表面波存在一个临界频率，低于这个频率，非线性s偏振表面波的频率范围，发现功率不再是决定导波频率范围的唯一因素，两种材料的介电常数比在这里起了至关重要的作用。     

2-乙基己酸的制备

研究了 2乙基己酸的制备 ,该反应是 2乙基己醇与氢氧化钠在催化剂存在下进行氧化、脱氢 ,生成产物2乙基己酸。通过实验找到了一种新型、高效、廉价的催化剂 ,以及最佳反应条件。通过对 2乙基己酸的分析测试 ,产品完全符合质量标准。     

微米／纳米技术及其应用

介绍了当前国际上关于微米、纳米技术及其在微型机械、微型机械电子系统以及在专用集成型仪器等方面的应用。     

改性燕麦麸的保健营养功效初探

介绍了以燕麦麸为原料，经现代食品加工技术精制而成的新型保健食品－高纤麦维素。总膳食纤维含量高达30％，可溶性膳食纤维9．56％，其中主要成分为β－葡聚糖。在高脂饲料中添加本品10％，饲喂高脂模型大鼠4周，结果：大鼠血脂TC、TG、LDL－C值显著低于对照组，HDL－C值略有提高。利用核素^67Ga直结肠通过显像观察，可显著改善肠蠕动功能，迅速通便。     

A Neural Network Approach for Signal Detection in Digital Communications

In this paper, we propose a new approach for signal detection in wireless digital communications based on the neural network with transient chaos and time-varying gain (NNTCTG), and give a concrete model of the signal detector after appropriate transformations and mappings. It is well known that the problem of the maximum likelihood signal detection can be described as a complex optimization problem that has so many local optima that conventional Hopfield-type neural networks fail to solve. By refraining from the serious local optima problem of Hopfield-type neural networks, the NNTCTG makes use of the time-varying parameters of the recurrent neural network to control the evolving behavior of the network so that the network undergoes the transition from chaotic behavior to gradient convergence. It has richer and more flexible dynamics rather than conventional neural networks only with point attractors, so that it can be expected to have much ability to search for globally optimal or near-optimal solutions. After going through a transiently inverse-bifurcation process, the NNTCTG can approach the global optimum or the neighborhood of global optimum of our problem. Simulation experiments have been performed to show the effectiveness and validation of the proposed neural network based method for the signal detection in digital communications.