全牛顿—拉甫森法模拟多元精馏过程——(Ⅰ)烃类物系精馏过程的模拟计算

本文研究了全牛顿—拉甫森法及其在烃类物系精馏计算中的应用。讨论和比较了三种提供初值方法对收敛速度和稳定性的影响,程序中建立了Householder—Broyden法和块状三对角矩阵法两种稀疏矩阵求解方法,提高了收敛速度,节省存储单元数,计算结果令人满意。全部程序用FORTRAN77编写,在M—68000型微机上实现。     

分布式网络化测试系统的组件技术研究与应用

组件是分布式网络化测试系统软件技术的核心,组件技术为系统中测试用户与服务器以及服务器与服务器之间的互连与通讯提供了技术支持。文章就分布式网络化测试系统中组件的层次、接口和通讯进行了详细的阐述,并对中心服务器、测试服务器和标定服务器的组件应用技术进行了介绍,同时,对系统组件的若干关键技术进行了分析。     

Blind source separation with unknown and dynamically changing number of source signals

The contrast function remains to be an open problem in blind source separation (BSS) when the number of source signals is unknown and/or dynamically changed. The paper studies this problem and proves that the mutual information is still the contrast function for BSS if the mixing matrix is of full column rank. The mutual information reaches its minimum at the separation points, where the random outputs of the BSS system are the scaled and permuted source signals, while the others are zero outputs. Using the property that the transpose of the mixing matrix and a matrix composed by m observed signals have the indentical null space with probability one, a practical method, which can detect the unknown number of source signals n, ulteriorly traces the dynamical change of the sources number with a few of data, is proposed. The effectiveness of the proposed theorey and the developed novel algorithm is verified by adaptive BSS simulations with unknown and dynamically changing number of source signals.     

Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate

A non-zero-approaching adaptive learning rate is proposed to guarantee the global convergence of Oja's principal component analysis (PCA) learning algorithm. Most of the existing adaptive learning rates for Oja's PCA learning algorithm are required to approach zero as the learning step increases. However, this is not practical in many applications due to the computational round-off limitations and tracking requirements. The proposed adaptive learning rate overcomes this shortcoming. The learning rate converges to a positive constant, thus it increases the evolution rate as the learning step increases. This is different from learning rates which approach zero which slow the convergence considerably and increasingly with time. Rigorous mathematical proofs for global convergence of Oja's algorithm with the proposed learning rate are given in detail via studying the convergence of an equivalent deterministic discrete time (DDT) system. Extensive simulations are carried out to illustrate and verify the theory derived. Simulation results show that this adaptive learning rate is more suitable for Oja's PCA algorithm to be used in an online learning situation.     

基于视频图像分析的智能监控系统设计

在综合分析视频监控技术的基础上,提出一种基于信息融合分析和序列图像分析为基础的智能化监控系统。并给出了系统体系架构,软件实现的框架以及核心流程。     

基于非参数独立分量分析的说话人识别方法

首先用非参数独立分量分析方法提取表征说话人音频特性的时域基函数组,语音信号可由这些基函数线性组合而成。每个可识别的说话人对应一个不同的基函数组,对某个特定人的输入音频,只有与它对应的基函数组使其系数向量各分量之间的独立性最强(也就是互信息最小)。对待识别音频,分别用已知说话人的时域基函数组计算各自的系数向量,并计算系数向量各分量之间的互信息。互信息最小的基函数组对应的说话人即为识别结果。实验结果表明,即使用很少的测试数据.也能达到很高的识别率。     

定制软件开发平台的研究与设计

针对定制软件开发用户需求变动大和生产效率质量不高的问题，指出平台化和构件化是提高软件生产力的有效方法，并设计一个包含业务层、平台内核层、适配器层和数据层的定制软件开发平台。     

基于免疫遗传算法的建筑构件创新设计

分析建筑构件的特点,使用免疫遗传算法对建筑构件的设计进行约束和控制。对原有的遗传算法做了改进,在适应度函数构建方面增加了对称度、均匀度和平滑度的度量,在选择算子构造方面引入了免疫算法抗体的相似度。实验结果表明,该算法能够增强建筑构件设计的创新性。     

数据传输系统的可编程逻辑技术实现

本文介绍了数据传输系统体系结构的设计方法，主要针对数据传输系统进行设计，详细论述了系统的总体设计、模块设计、PCI（Peripheral Component Interconnect外围部件互连）总线高速数据传输系统硬件接口设计方法,给出了系统的设计与实现方案。克服了系统中的有关数据传输速率、可靠性等方面的问题，提高了数据传输过程中抗干扰能力     

面向军事栅格的构件集成网络体系结构

文章提出了一种面向军事栅格的构件集成网络体系结构,它摒弃了传统的分层式网络体系结构中层的概念,而采用构件概念。构件集成网络体系结构具有时延小、传输负载小等优点,适合于在军事领域中应用。给出了这种网络体系结构的设计原则、构件的组成及报文格式。最后,通过仿真,验证了构件集成网络体系结构的有效性。