计算机网络远程通信系统软硬件设计与实现

本文介绍一种新型远程通信系统，它克服了一般远程通信系统速度慢的缺点，将通信速度提高了８０多倍，同时，其硬件比一般远程通信系统简单，成本只有一般远程通信系统的一半左右，进一步提高了新型远程通信系统的性能价格比。在新型系统中精简了远程通信协议，提高了信道有效利用率；采用了各种行之有效的数据压缩算法，并加以改造，使之性能最佳；提供了程序远程透明执行功能，大大提高了系统的响应速度。     

Mach网络服务器的设计

Ｍａｃｈ网络服务器把本地ＩＰＣ机制透明地扩充到网络环境，为分布式应用提供支持。本文介绍了Ｍａｃｈ网络服务器的功能，内部组织结构及网络通讯的基本过程。     

Study on Factors Affecting the Structure of High SpeedSteel Ingot Produced by ESR

ＳｔｕｄｙｏｎＦａｃｔｏｒｓＡｆｆｅｃｔｉｎｇｔｈｅＳｔｒｕｃｔｕｒｅｏｆＨｉｇｈＳｐｅｅｄＳｔｅｅｌＩｎｇｏｔＰｒｏｄｕｃｅｄｂｙＥＳＲＬｉＺｈｅｎｇｂａｎｇ；ＣｈｅＸｉａｎｇｑｉａｎＡｂｓｔｒａｃｔ：Ｔｈｅｉｎｆｌｕｅｎｃｅｏｆｔｈｅｍｅｔａｌｐ...     

神经网络离散变结构控制的算法及其应用

本文首次将自适应线性神经元（Ａｄａｌｉｎｅ）用于离散变结构控制。以滑模面Ｓ（ｋ）＝０作为Ａｄａｌｉｎｅ元的希望输出，作为Ａｄａｌｉｎｅ元的实际输出，通过ＬＭＳ算法在线调整权值可保证滑态可达条件的满足。应用所提出的控制策略对泵控马达速度伺服系统进行控制，仿真表明控制效果是令人满意的。     

Hierarchical intelligent control with flexible AC transmission systems application

A novel hierarchical intelligent controller configuration is proposed using an artificial neural network as a control-mode classifier in the supervisory level and a set of pre-designed controllers in the lower level. Controller outputs are modified nonlinearly by the classifying signals in a structure resembling one artificial neuron with adaptively changed weights. The lower-level local controllers are implemented using neural networks. An illustrative example of this approach is based on the transient stabilization of a single-machine infinite-bus system studied in Flexible AC Transmission Systems (FACTS) research.     

集群系统与公用网互连的仿真模型和模拟算法

在讨论ＭＰＴ１３２７信令的集群移动通信系统与国内Ｎｏ．７信令的ＰＳＴＮ网间互连，帝现两种信令配合中，研究了集群系统的仿真模型和模拟算法，同时模拟出整个集群系统的工作情况，运行结果证实了所提方案的可行性与准确性。     

一种新的环网故障诊断与重构算法

为提高环网的容错性能，文献（1）提出了一种基于事件驱动的故障重构算法，其缺点是该算法只能容忍连线故障。本文给出一种新的采用时钟起时驱动的重构算法，该算法既能容忍连线故障也能容忍站（或节点）故障，且令牌控制较文献（1）的简单。     

Evolution of the capillary network in a reactive powder concrete during hydration process

Ultrasonic waves in echographic mode, combined with autogenous shrinkage measurements, were used to study the evolution of the capillary network of reactive powder concrete (RPC) from the time after the mixing. Two characteristic porous classes have been identified: the first, between 10 and 20 nm, begins when the material reaches its solid hyperstatic state, and the second about 1 or 2 nm. The first class is associated with the porous space between the C-S-H hydrate clusters and the second with the internal porosity of the hydrate. The evolution of the active capillary radius as a function of the degree of hydration allows us to understand the strong interaction between the capillary network size and the chemical activity given by the dissipated calorimetric power curve. Indeed, the maximum point of the chemical activity marks the transition of the first class of pores to the second one. Finally, measurements of electrical conductivity through RPC samples show that after the maximum of the dissipated power, the curve of this electrical conductivity presents the same evolution as the capillary radius. As the electrical conductivity clearly depends on the evolution of the capillary network, the similarity between the results confirms our analysis in pore classes.     

无约束淬火机目标温度神经网络预报

淬火、控制冷却的冷却速度和目标温度是关系到钢板性能的关键因素 ,但由于冷却过程的水量、水温、辊道速度等对冷却目标温度的影响属多变量非线性过程 ,用简单的解析模型通常精度较低 ,难以达到精确控制的要求。采用人工神经网络技术对无约束淬火机目标温度进行快速预报 ,结果表明 ,预测精度高 ,快速准确