光纤通信在市内接入网的应用

先说明市内接入网的单位用户和住家用户两大类使用通信和电视、交互型和分配型业务的要求不相同，相应地对光纤传输的应用须作不同的考虑，文中认为；光纤从市内交换局直连办公大楼是合乎现实需要的，而对于居民住家，宜选用光纤连至路边或光纤与同轴结合和适当利用无源光网络等方案，俟将来时机成熟才实行光纤连至每一家，文末有概括总结，说明接入网不同于长途网，接入网的光纤系统可以使用常规单模光纤，工作于波长1．3μm，而光放大器和波分多路系统不是普遍需要，但光电子集成在光端机中是必要的。     

地下通风系统管理的新技术——系统特征图

本文介绍系统特征图的原理与方法 ,及其推广应用的前景     

连续梁的简便计算

利用三转角方程，对连续梁的内力进行精确的计算，该方法简捷明了，便于应用。     

Unicast-based multicast communication in wormhole-routed networks

Multicast communication, in which the same message is delivered from a source node to an arbitrary number of destination nodes, is being increasingly demanded in parallel computing. System supported multicast services can potentially offer improved performance, increased functionality, and simplified programming, and may in turn be used to support various higher-level operations for data movement and global process control. This paper presents efficient algorithms to implement multicast communication in wormhole-routed direct networks, in the absence of hardware multicast support, by exploiting the properties of the switching technology. Minimum-time multicast algorithms are presented for n-dimensional meshes and hypercubes that use deterministic, dimension-ordered routing of unicast messages. Both algorithms can deliver a multicast message to m-1 destinations in [log ₂ m] message passing steps, while avoiding contention among the constituent unicast messages. Performance results of implementations on a 64-node nCUBE-2 hypercube and a 168-node Symult 2010 2-D mesh are given     

Well-posedness of dual-phase-lagging heat conduction equation: higher dimensions

The dual-phase-lagging heat conduction equation is shown to be of one unique solution for a finite region of dimension n (n?2) under Dirichlet, Neumann or Robin boundary conditions. The solution is also found to be stable with respect to initial conditions. The work is of fundamental importance in applying the dual-phase-lagging model for the microscale heat conduction of high-rate heat flux.     

南化大化肥硝铵库屋面施工防渗漏措施

南化大化肥硝铵库工程 ,于 2 0 0 0年 2月 15日开工 ,2 0 0 0年 10月 10日竣工 ,混凝土杯形基础 ,主体结构为单层、单跨、装配式的排架结构 ,30ｍ预应力折线形屋架 ,大型屋面板 ,氯化聚乙烯防水卷材 ,建筑面积为 162 0ｍ2 。氯化聚乙烯防水卷材是防水新型材料 ,由于防水性能好 ,施工方便 ,近几年得到了广泛的应用 ,在实际操作中往往由于施工人员对操作规程不甚了解 ,或虽有所了解 ,但没有认真对待 ,造成这样那样的质量问题 ,硝铵库作为一个储物库房 ,对防渗漏的要求高 ,那么施工中怎样避免出现渗漏现象 ,确保工程质量呢 ?1　做好施工准备检…     

WDM传输系统中泵浦配置对光纤拉曼放大器增益特性的影响

通过理论分析和模拟运算,研究了光纤拉曼放大器泵浦优化的一般规律。     

面向WCDMA建立网络管理信息模型

分析了WCDMA移动通信网网管系统管理框架，在此基础上提出采用公共对象请求代理体系结构（CORBA）建立网管系统信息模型的优势，给出WCDMA网管系统的信息模型，同时介绍了对象管理组（OMG）接口描述语言（IDL）。     

Estimating the power bus impedance of printed circuit boards with embedded capacitance

Embedded capacitance is an alternative to discrete decoupling capacitors and is achieved by enhancing the natural capacitance between closely spaced power and return planes. This paper employs a simple cavity model to investigate the features affecting the power bus impedance of printed circuit boards with embedded capacitance.     

Improving signal prediction performance of neural networks through multiresolution learning approach.

In this paper, we extend the original work on multiresolution learning for neural networks, and present new developments on the multiresolution learning paradigm. The contributions of this paper include: (1) proposing a new concept and method of adjustable neural activation functions in multiresolution learning to improve neural network learning efficacy and generalization performance for signal predictions; (2) providing new insightful explanations for the multiresolution learning paradigm from a multiresolution optimization perspective; (3) exploring underlying ideas why the multiresolution learning scheme associated with adjustable activation functions would be more appropriate for the multiresolution learning paradigm; and (4) providing rigorous validations to evaluate the multiresolution learning paradigm with adjustable activation functions and comparing it with the schemes of multiresolution learning with fixed activation functions and traditional learning. This paper presents systematically new analytical and experimental results on the multiresolution learning approach for training an individual neural network model, demonstrates our integral solution on neural network learning efficacy, and illustrates the significant improvements on neural networks' generalization performance and robustness for nonlinear signal predictions.