跨国企业IT战略部署

伴随着全球经济一体化的愈演愈烈，越来越多的中国企业通过直接投资、合资、并购等方式走出国门，进入国际市场，成为跨国公司。如何在不同语言、不同时区、不同货币、不同文化和风俗习惯、不同政策和法律、不同财务制度、不同行业和技术标准、不同业务需求的国家和地区，以高效率、低成本保证业务系统连续运营，并支持公司的业务战略方向，快速实...     

一方水土 一方信息化——城市信息化评述

大力推进经济与社会信息化是国家全局性战略，但由于主客观条件不同，不同区域、不同城市的信息化建设也有不同的表现，犹如不同方言唱同一苜歌，会有不同视听效果。[编者按]     

测试方法的揭错能力及其对软件可靠性的影响

测试方法的划分角度不同，评价其优劣的准则也就不同，本文比较了在不同揭错能力标准下，不同测试方法发现错误的能力，以及特定情况下软件可靠性的评估。     

．NET组件在教学支持系统的登录页面中的应用

登录页面是教学支持系统的进入页面。如果用户要使用教学支持系统中的各个模块中的功能，首先必须登录，登录成功，才能使用系统中的功能，不同权限的用户，给予不同的密码，根据不同的权限使用不同的功能。     

南京市人民政府电子政务统一办公平台

在政府信息化建设过程中，政府各职能部门常常根据自身的情况与需要，采用不同的技术和体系结构来建立自己的信息系统，形成一个个信息孤岛。就南京市而言，在不同时期、不同部门，建立了许多平台各异、功能繁多的独立系统，电子政务的发展要求解决信息孤岛问题，实现不同位置、不同格式的数据共享，进而集成相关的业务数据，     

北京地税信息一体化之路

不同的IT指导思想、不同的网络架构、不同的数据采集格式和不同的业务流程交织并存，使数据无法在税务部门内部实现有技共享。如何充分利用现有系统，有效保护历史投资，同时高度整合不同环境中的数据资源，形成一体化的税务管理信息系统，成为税务部门     

区域划分技术在图象压缩中的应用和实现

不同空间位置的不同物体表达的信息有不同的重要性，本文目的是通过统计分析图象内容重要程度的空间组织规律，改进原有JPEG压缩方法，给不同重要性的内容分配不同的压缩比。     

如何选择RFID识读器、标签打印机和贴标机

企业在供应链中所处位置不同，应用RFID的目的也不同，而识读器本身也有性能、价格和安装方式的区别，因而不同的用户应选择不同的方案。     

湿度图的计算机模拟及其应用

空气湿度图被广泛应用于工程湿空气性质的计算，常压条件下空气一水系统的湿度图较为常见，而不同压力下，适用于不同温度及不同系统的湿度图较少报道，并且利用湿度图人工读图查湿空气的性质误差较大。因此，利用Origin 5．0和Visual Basic 5．0可视化语言，对空气湿度图进行计算机模拟，开发湿度图的计算机绘制及物性数据查询软件。该软件可绘制不同压力、不同适用温度范围、不同系统条件下的湿度图，并能准确迅速地查询不同条件下湿空气的性质。软件运行稳定，界面友好，易于操作。     

SHOU魅女

同样的亮金发，不一样的长度同样的好身手，不一样的战术 尽管泥足沉陷，依然万夫莫当 不同的敌人，一样的恐怖 不同的武器，一样的杀戮 不同的容颜，一样的美丽     

Discrete port-Hamiltonian systems

Either from a control theoretic viewpoint or from an analysis viewpoint it is necessary to convert smooth systems to discrete systems, which can then be implemented on computers for numerical simulations. Discrete models can be obtained either by discretizing a smooth model, or by directly modeling at the discrete level itself. One of the goals of this paper is to model port-Hamiltonian systems at the discrete level. We also show that the dynamics of the discrete models we obtain exactly correspond to the dynamics obtained via a usual discretization procedure. In this sense we offer an alternative to the usual procedure of modeling (at the smooth level) and discretization.     

Duality of 2-D singular systems of Roesser models

In this paper, the properties and concepts of dual systems of the two-dimensional singular Roesser models (2-D SRM) are studied. Two different concepts of the dual systems are proposed for the 2-D SRM. One is derived from the duality defined for two-dimensional singular general models (2-D SGM)-called the S-dual systems; the other one is defined based on 2-D SRM in a traditional sense-called the T-dual systems. It is shown that if a 2-D SRM is jump-mode free or jump-mode reachable, then it can be equivalently transformed into a canonical form of a 2-D SRM, for which the T-duality and the S-duality are equivalent. This will be of some perspective applications in the robust control of 2-D SRM.     

Duality of 2-D singular systems of Roesser models

In this paper, the properties and concepts of dual systems of the two-dimensional singular Roesser models （2-D SRM） are studied. Two different concepts of the dual systems are proposed for the 2-D SRM. One is derived from the duality defined for two-dimensional singular general models （2-D SGM）-called the S-dual systems; the other one is defined based on 2-D SRM in a traditional sense-called the T-dual systems. It is shown that if a 2-D SRM is jump-mode free or jump-mode reachable, then it can be equivalently transformed into a canonical form of a 2-D SRM, for which the T-duality and the S-duality are equivalent. This will be of some perspective applications in the robust control of 2-D SRM.     

State-dependent parameter modelling and identification of stochastic non-linear sampled-data systems

State-dependent parameter representations of stochastic non-linear sampled-data systems are studied. Velocity-based linearization is used to construct state-dependent parameter models which have a nominally linear structure but whose parameters can be characterized as functions of past outputs and inputs. For stochastic systems state-dependent parameter ARMAX (quasi-ARMAX) representations are obtained. The models are identified from input–output data using feedforward neural networks to represent the model parameters as functions of past inputs and outputs. Simulated examples are presented to illustrate the usefulness of the proposed approach for the modelling and identification of non-linear stochastic sampled-data systems.     

Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems

A continuous-time system cannot be recovered solely from its uniformly sampled discrete-time model through the zero-order hold discretization or step-invariant transformation, but our studies indicate that it can be recovered uniquely from its non-uniformly sampled discrete-time model. In this paper, we discuss some related issues of non-uniformly sampled systems, including model derivation, controllability and observability, computation of single-rate models with different sampling periods, reconstruction of continuous-time systems, and parameter identification of non-uniformly sampled discrete-time systems. A numerical example is also given for illustration.     

A modeling strategy for hybrid systems based on event structures

This paper considers hybrid systems which are continuous/discrete-time systems interacting with a decision maker which oversees the control and structure of the continuous/discrete-time system. These two segments combine with a processor which evaluates data to produce a three-segment model of a hybrid system having sufficient flexibility to represent a broad range of real-time situations and sufficient generality to incorporate the essential aspects of other models into a single framework. In particular the paper uses a graphically expressive controlled Petri net formulation of the decision maker and any of the usual models for the continuous/discrete-time system. Interaction between the systems occurs via three types of events: continuous/discrete-time events, decision-making events, and processor events. These types of events and their composition are rigorously defined to produce event structures and event histories. These events and event histories are used for the domain of interaction functions which specify the channels of communication between the three essential segments of the hybrid system. The event-based domains allow the disassociation of these communication channels from dependence on particular kinds of models or applications. The range of the interaction functions are binary vector-valued indicating the activation/deactivation processes in the respective segments. The entire modeling strategy is motivated by applications and models found in the literature especially flexible manufacturing systems and the C-net model of a hybrid system.This work was partially supported by the National Science Foundation under Grant No. ECS-8800910.     

Single-experiment observability decomposition of discrete-time analytic systems

This paper addresses the single-experiment observability decomposition of discrete-time analytic systems. Unlike the continuous-time case, there exist systems which cannot be decomposed into observable and unobservable subsystems due to the fact that the observable space is not integrable. In this paper, a necessary and sufficient condition for integrability of observable space is given. As a corollary of this condition it is proven that if the system is reversible, the observability decomposition can be always achieved. Moreover, integrability of observable space is also addressed for delta-domain models of non-uniformly sampled systems.