电沉积纳米ZnO薄膜

在硝酸锌溶液中电沉积ZnO，通过正交试验方法研究槽液浓度、pH值以及电流密度对纳米ZnO薄膜电沉积的作用。用XRD分析了纳米ZnO的组织、结构与成分，SEM获得了纳米ZnO的表面形貌。     

SrTiO3基压敏电阻的研究及其在武器系统中的应用

电子设备的广泛使用带来的设备干扰及浪涌冲击等问题使人们开始关注SrTiO3基压敏电阻器件材料的开发.本文介绍了SrTiO3基压敏电阻的一般制造配方和工艺流程.和ZnO基压敏电阻相比,此材料在低压领域具有更优良的电气性能,如较大的电容量(C=10～150nF);在高于电压临界值又具有较低压敏电压;非线性系数在5～43之间可调;耐浪涌能量大;并且具有自复位特性.这些特性使得它具有高频噪声吸收、前沿快速上升型脉冲噪声吸收和浪涌吸收等功能.针对武器系统的高性能要求,本文提出了SrTiO3基压敏电阻在直流电机消噪、电源输入端、吸收电感性负载开关浪涌、旁路电容器、通信线路防护、防止电涌冲击等方面的应用.     

电荷耦合器件积分时间对微型成像系统成像质量的影响

在光圈固定的情况下，确定合适的积分时间对于提高微型电荷耦合器件(CCD)成像系统的成像质量，增强微型飞行器的侦察能力具有十分重要的意义。本文讨论了决定CCD积分时间的各种因素，重点研究了适用于微型飞行器的CCD成像系统的积分时间与像移的关系，并进一步推导了计算像移量的相关数学模型。利用该模型对不同积分时间内采集的运动图像进行了像质评价，结果表明，在保证曝光量的前提下，当像移量被限制在1个像素内时，可以获得相对理想的运动图像像质。     

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.     

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。     

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.     

任丘油田雾迷山油藏抽油机井系统效率初步探讨

总公司1996年对任丘雾迷山油藏抽油机井进行测试,系统效率高达51%~68%,其结果出乎意料。从影响抽油机系统效率的几大因素入手,分析出任丘雾迷山油藏抽油机井系统效率高的主要原因。任丘雾迷山油藏属裂缝性破酸盐岩油藏(即灰岩油战),由于其裂缝发育、渗透性好、油层厚度大、地层温度高、油气比小、饱和压力低等,使得抽油机井生产呈现如下特点:()大泵径,长冲程,低冲次大排量采油;(2)中浅京挂,小沉没度;(3)抽汲流体为液体单相,泵充满程度高;(4)部分井为连抽"带喷"状态,抽油系活塞底部受力大;(5)井液粘度低,油井不结蜡,摩阻损失小。由于这些特点以及近年来使用的新型节能抽油机,使得抽油机井系统效率大大高于其它油田抽油机井系统效率。     

利用地理信息系统ARC/INFO计算地物面积的方法

详细介绍利用地理信息系统工具ARC/lNFO来计算地物分布专题图中各种不同地物面积的方法，并给出海南省大边河库区地物面积的计算实例。