Blind system identification using precise and quantized observations

This paper studies the blind identification of multi-channel FIR systems using precise and quantized observations. First, a new deterministic blind identification (DBI) algorithm is presented for multi-channel FIR systems using precise observations, in which the system parameters can be consistently estimated and the common source signal can be stably recovered. When the observed samples are quantized by a static finite-level quantizer, an iterative deterministic blind identification (IDBI) method is then provided. The asymptotic characters of the proposed IDBI method are discussed and the quantization effect on the identification performance is analyzed. Numerical simulations are given to support the developed DBI method and IDBI method.     

管理型财务软件信息模型的设计与实现

文章提出了一个管理型财务软件的信息模型,从根本上解决了财务软件中动态设置科目体系以及主核算与辅助核算的灵活性与一致性问题,并提出了一个通用的子系统接口模型。以上模型均已在实际应用中得到了检验,发挥了很好的模型优势。     

敏捷软件开发的双迭代模型

在软件开发过程中,软件开发企业能否一方面有效地适应用户需求和商务环境的种种变化,另一方面控制好软件开发的周期和成本,提供高质量的软件,是软件开发企业能否顺利发展壮大的关键.基于最佳实践的敏捷软件开发方法逐渐成为一种潮流,被越来越多的软件开发企业所采用.然而许多企业在实施敏捷过程中往往会出现一些问题,从而未能达到预期的效果.通过对敏捷方法存在的问题的分析,设计一个使用敏捷软件开发方法的双迭代软件开发过程模型.实践证明,双迭代模型能很好地解决敏捷开发方法存在的问题.     

主题数据库技术的亲合性分析方法研究

企业信息化的本质是企业数据环境的改造,信息化过程必须以主题数据库为主线,逐步建立高档次数据环境。文章对主题数据库技术中的亲合性分析方法进行分析和改进,给出了亲合性分析的改进单向性模型和计算公式;并通过实例对企业活动之间的相关性进行分析,形成聚合性矩阵来建立主题数据库。     

浅谈数据库安全审计与访问控制的实施及意义

数据安全审计与访问控制系统,可以使风险管理要实现从被动转变到主动,开展事中和事前的监督和检查,防患于未然,充分发挥管理监督和防范风险的效能。     

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.     

色度传感器非线性误差校正的神经网络模型

介绍了色度传感器的结构和特点及其非线性误差问题，提出了一种基于人工神经网络的非线性滤波器黑箱模型，并成功地应用于色度传感器光谱三刺激值非线性误差的校正中。     

膜生物反应器及其控制系统的应用研究

膜生物反应器是一种由膜分离单元与生物处理单元相结合的新型水处理技术,可靠高效的自动控制系统不仅能保证膜生物反应器的正常运行,还能降低其运行成本,延长膜通量和膜的使用寿命。本文以四川科学城医院膜生物反应器污水处理系统为例,讨论了膜生物反应器在处理医院废水中的应用,并介绍了适用于膜生物反应器的控制策略及控制系统。     

ABR业务流量控制中的显速率反馈

ABR(Available Bit Rate)业务可以提高ATM网络的利用率,能让用户LAN通过广域网进行高吞吐量、低丢失率的互通。可以预计,未来ATM网上的数据业务将主要用ABR连接来传输。ABR业务中的首要问题是流量控制。文章在比较了几种流量控制方案后,认为显速率反馈是ABR业务流量及拥塞控制的一个有效方法,是完善ABR业务的一个重要手段,并对显速率算法作了进一步研究。     

A new analytical model of single-stage microleverage mechanism in resonant accelerometer

Microleverage mechanism which is widely applied in microelectromechanical systems (MEMS) transfers and amplifies force or displacement from input to output. In this work, one-stage microleverage mechanism is integrated into a biaxial micro resonant accelerometer to improve sensitivity. Force amplification factor of the microleverage is analyzed and deduced by integral method. The results from theoretical model match well with the ones from finite element method (FEM) simulation, which proves that the proposed model is relatively accurate and the width of lever beam is a quite important parameter in design. The resonant accelerometer is successfully fabricated by MEMS technology. Preliminary experiments are conducted and demonstrate differential sensitivity of 71 Hz/g for the accelerometer with resonant frequency of 267.726 kHz.