一个新的力觉临场感系统模型

本文提出了一个新的力觉临场感系统模型，讨论了它的二端口网络结构，推导了相应的网络特性参数，分析了参数的含仪和测量方法。此外，对理想系统的参数也进行了分析，本文的研究为临场感技术的发展提供了基础。     

电力变压器动稳定破坏的分析和对策

对大型电力变压器绕组在变压器发生外部短路时所受的辐向力和轴向力进行了分析和计算，比较了国内外不同的计算方法和得出的不同结果。     

压型钢板组合楼板承载力的有限元分析

压型钢板组合楼板是 2 0世纪发展起来的一种新型结构形式。它具有显著的优势 ,如轻质、高强 ,施工快捷等 ,将在未来的建筑领域中大有作为。组合楼板的承载力主要取决于钢板 -混凝土界面处的抗剪强度。建立了一个二维有限元模型来研究单向组合板的性能。并将计算结果与试验数据进行对比 ,验证了模型的有效性     

管道流体瞬态—水汽锤计算原理

文中介绍了核电站管道中流体瞬态——水汽锤的计算原理;既适用于液体介质的水锤计算,也适用于可压汽体的汽锤计算.对于一些典型管道部件的处理方法,文中也作了讨论。     

川西马井构造下白垩统含气性识别与评价

川西马进地区下白垩统含气性识别在测井解释上 ,主要在于储层含气水差异分辨较困难 ,气和水在测井曲线上的响应比较接近 ,过去解释的部分气层经测试却产水 ,常规的测井解释方法很难将二者区分开。以钻井录井显示和测试结果为依据 ,利用交会图分析技术 ,成功地对储层含气、水性质进行了识别 ;利用模糊聚类分析技术对含气性差异与含水性差异进行了判别。在此基础上 ,对含气性进行评价。     

Suspension force and mechanism of debris flows

The paper discusses the postulated suspension force, by which it is possible to explain some enigmatic phenomena observed in different types of mass movements. This force is generated in thick suspensions as a result of friction between sinking solid particles and static water. The suspension force is related to the seepage force but they have opposite directions. Both forces form flow networks. Having explained the suspension force, the paper describes how this influences the movement of material, particularly in debris flows. Enigmatic features and the mechanism of debris flows and lahars are explained by virtue of the suspension force. Electronic Publication     

有机极化聚合物材料及电光调制器件

有机极化聚合物材料是一类新型的功能高分子材料，在光电子及集成光学方面具有诱人的应用前景，其电光调制器件已接近实用化，本文综述了有机极化聚合物材料，极化聚合物体系及电光调制器件的研究进展，并指出它们存在的问题和发展方向。     

Image processing using cellular neural networks based on multi-valued and universal binary neurons

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partially defined multiple-valued function on the single MVN. An arbitrary mapping described by partially defined or fully defined Boolean function, which can be non-threshold, may be implemented on the single UBN. The quickly converging learning algorithms exist for both types of neurons. Such features of the MVN and UBN may be used for solving the different problems. One of the most successful applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN). It opens the new effective opportunities in nonlinear image filtering and its applications to noise reduction, edge detection and solving of the super resolution problem. A number of experimental results are presented to illustrate the performance of the proposed algorithms.An erratum to this article can be found at     

定向探测引信技术分析

从提高引信与战斗部配合效率出发 ,根据定向战斗部的战术技术性能 ,介绍了一种能够识别弹体周围 4个方向目标的定向探测引信 .分析了定向探测器的工作原理和目标方位识别的关键技术 ,并对探测天线的设计做了详细的分析和计算 .     

摩擦强度对薄膜表面形态的作用:原子力显微镜下的观察

展示了摩擦强度对聚酰亚胺薄膜表面形态的影响，原子力显微图像显示，机械摩擦会使聚酰亚胺薄膜表面上形成微沟槽，这些沟槽的表面具有丰富的表面精细构造。原子显微图像还揭示了机械摩擦可以改变被磨擦聚酰亚胺膜的表面形态。