用Delphi实现脱离IDE编译DLL程序

介绍一种脱离集成开发环境（IDE）而通过应用程序来编辑、编译动态链接库（DLL）的方法,为满足软件用户自行编辑、编译DLL的开发需求还提供了解决方案。     

解决PC机中Y2K问题迫在眉睫

本文讨论了产生Ｙ２Ｋ（千年虫）的根源和解决方案，介绍了威利慧克２０００ 新版软件的工作原理和特点，以及它在解决ＰＣ机硬件平台的２０００ 年过渡中的作用     

桌面虚拟化技术应用与研究

分析了网络环境下传统计算机桌面环境管理中存在的问题,介绍了桌面虚拟化技术的概念,提出了虚拟化技术优势及解决方案;分析了目前主流桌面虚拟化产品特点及应用场合,提出了桌面虚拟化技术使用条件。     

基于嵌入式系统的USB接口的设计

根据嵌入式系统的特点,将USB接口技术与嵌入式系统相结合,给出了基于嵌入式系统的USB主机接口的具体解决方案,并给出了其中的关键技术的详细介绍。     

基于Web访问数据库的实现方案

介绍了以ＡＳＰ为基础的 Ｗｅｂ数据库的访问,分布事务处理及消息传递的解决方案,将 ＡＳＰ方案与一些传统 ＷＥＢ数据库开发方案进行了比较,并通过一个具体实例介绍了该方案的一般实现方法。     

通用型安全操作系统解决方案浅析

在信息安全领域,随着攻击技术的不断升级和数据泄露事件的激增,业界越来越重视服务器操作系统的安全问题。文章从等级保护安全操作系统研究入手,介绍了两种安全操作系统解决方案,对比了通用型安全操作系统相比传统自主研发的安全操作系统的优势所在。文中重点阐述了通用型安全操作系统解决方案的技术优势和实现原理,结合增强型DTE、RBAC、BLP三种访问控制安全模型,重构操作系统的安全子系统(SSOOS),动态、透明提升操作系统安全等级,以实现通用型安全操作系统的解决方案。     

多线程系统在S3C2410上的实现

首先对多线程及S3C2410微处理器作了简要介绍,接着详细剖析了多线程系统在S3C2410平台上的具体实现过程,同时结合实践对实现过程中的各个技术难点作了详细的说明,并提供了切实可行的解决方案.     

音/视频信息回放系统的HDMI发送器解决方案

介绍HDMI的连接结构、信号编码及内容保护等技术;提供一种基于Atmel公司的AT76C114和SiliconImage公司的SiI9030的回放系统HDMI发送器解决方案。     

城域以太网中多业务交换机的设计与仿真

城域以太网逐渐成为下一代城域网建设的优秀解决方案之一,提供电信级以太网业务是城域以太网的目标。以MEF批准的技术规范为基础,为了能在城域以太网中提供多种业务并保证实时业务的服务质量,介绍了基于WF2Q+队列调度算法的多业务交换机的设计,并分析仿真了其性能。     

基于SONET的ITS通信系统

介绍智能交通系统（ＩＴＳ）的基本概念、主要功能、系统的基本结构以及ＩＴＳ系统在国内外的发展现状，并提出了一个基于ＳＯＮＥＴ网络的ＩＴＳ通信系统解决方案。     

纯量反馈系统稳定零极近似相消的积分约束

导出了单输入单输出反馈控制系统误差响应基于名义系统稳定的零、极点近似相消的时间域积分约束，此积分约束是任何反馈控制系统均应满足的．这一约束给出了单输入单输出反馈系统固有折中的新的观点．名义系统稳定的零、极点近似相消的存在导致反馈控制系统的调节时间延长或者误差响应的无穷范数变大．因此，在反馈控制系统设计中，尽量避免补偿器的零、极点与名义系统的极、零点近似相消(即使这些零、极点是稳定的)．     

区域生长辅助的地图配准在室内定位中的应用

地图匹配（ MM）算法通过粒子滤波（ PF）利用室内地图信息来抑制基于惯性传感器的室内定位系统的误差累计。利用区域生长（ RG）算法结合当前步长和方向信息在地图上找到合理的落脚范围,并以此来判断粒子的有效性。这种方法能有效改善地图配准算法的实用性和计算复杂度。提出一种改进的零速度（ ZV）检测算法能准确提取步伐信息,间接提升了零速度更新（ ZUPT）算法和地图配准算法的精度。实验结果表明：该算法的定位误差小于1.0%,定位精度比单纯的航位推算（ DR）算法平均提高了5.97%。     

The impact of intellectual capital on the competitive advantage: Applied study in Jordanian telecommunication companies

This research investigates the impact of intellectual capital components on the competitive advantage in the Jordanian telecommunication companies. The empirical findings indicate that the relational capital and the structural capital have positive impact on competitive advantage. Both the relational capital and the structural capital account for 48.4% of the competitive advantage. It is unexpected to find that the human capital does not have a significant direct impact on competitive advantage. However, it is valid to state that the human capital indirectly and significantly influences competitive advantage as it is embedded in the relational capital. The effect of the relational capital on competitive advantage is moderated by gender and age. The effect is strongest among younger men. In the case of the structural capital its effect is moderated by gender only such that the effect is slightly stronger for females rather than males.     

基于KW、MW及DW的决策支持系统架构研究

SDSS是较为先进的决策支持系统，但由于其模型库中的模型固定不变，因此在实际应用中具有一定的局限性。提出了集成数据仓库DW、知识仓库KW和模型仓库MW作为底部架构的体系结构，能有效解决这一问题。该架构简化了模型获得和编码任务，增强了决策的有效性和智能性，提高了决策效率。     

基于多智体多库协同的一种虚拟现实仿真界面构建技术

一、引言计算机仿真接口界面,随着计算机软硬件的不断提高也在快速地变化着。从其发展趋势中我们不难看出这一点:从早期的命令行提示编辑Command Line,到全屏幕菜单编辑(Menu based Editor),再到图形用户界面Graphic User In-terface(GUI),界面在不断追求如何更好地适应用户、与用户更直接地交互。其具体特点包括自然而又丰富的色彩、逼真而又完美的几何造型、柔和而又动听的环境声响、质感而又具有力反馈的实物等。这些人们所需要的真实感,一种技术是难以胜任的,它需要各种软、硬件技术的综合与集成。从目前的趋     

An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal

Electroencephalography (EEG) is the recording of electrical activity of neurons within the brain and is used for the evaluation of brain disorders. But, EEG signals are contaminated with various artifacts which make interpretation of EEGs clinically difficult. In this research paper, we use a soft-computing technique called ANFIS (Adaptive Neuro-Fuzzy Inference System) for the removal of EOG artifact, combined EOG and EMG artifact. Improvement in the output signal to noise ratio and minimum mean square error are used as the performance measures. The outputs of the proposed technique are compared with the outputs of techniques such as neural network, based on ADALINE (Adaptive Linear Neuron) and adaptive filtering method, which makes use of RLS (Recursive Least Squares) algorithm through wavelet transform (RLS-Wavelet). The obtained results show that the proposed method could significantly detect and suppress the artifacts.     

A divide and conquer matheuristic algorithm for the Prize-collecting Steiner Tree Problem

The Prize-collecting Steiner Tree Problem (PCSTP) is a well-known problem in graph theory and combinatorial optimization. It has been successfully applied to solve real problems such as fiber-optic and gas distribution networks design. In this work, we concentrate on its application in biology to perform a functional analysis of genes. It is common to analyze large networks in genomics to infer a hidden knowledge. Due to the NP-hard characteristics of the PCSTP, it is computationally costly, if possible, to achieve exact solutions for such huge instances. Therefore, there is a need for fast and efficient matheuristic algorithms to explore and understand the concealed information in huge biological graphs. In this study, we propose a matheuristic method based on clustering algorithm. The main target of the method is to scale up the applicability of the currently available exact methods to large graph instances, without loosing too much on solution quality. The proposed matheuristic method is composed of a preprocessing procedures, a heuristic clustering algorithm and an exact solver for the PCSTP, applied on sub-graphs. We examine the performance of the proposed method on real-world benchmark instances from biology, and compare its results with those of the exact solver alone, without the heuristic clustering. We obtain solutions in shorter execution time and with negligible optimality gaps. This enables analyzing very large biological networks with the currently available exact solvers.     

Wavelet-based envelope features with automatic EOG artifact removal: Application to single-trial EEG data

In this study, we propose an analysis system for single-trial classification of electroencephalogram (EEG) data. Combined with automatic EOG artifact removal and wavelet-based amplitude modulation (AM) features, the support vector machine (SVM) classifier is applied to the classification of left finger lifting and resting. Automatic EOG artifact removal is proposed to eliminate the EOG artifacts automatically by means of independent component analysis (ICA) and correlation coefficient. The features are then extracted from the discrete wavelet transform (DWT) data by the AM method. Finally, the SVM is used for the discriminant of wavelet-based AM features. Compared with EEG data without EOG artifact removal, band power features and LDA classifier, the proposed system achieves promising results in classification accuracy.     

基于CAN总线实时应用的可靠调度性研究

CAN总线是一种高级的串行通信协议,适用于各种分布式控制系统。在实时应用中,标准的CAN协议使用静态优先级算法,对传输信道的利用率比较低。对基于CAN总线通信的动态优先级调度算法进行研究后,提出了一种基于指数分配方式的MTS算法,在保证强实时性消息的同时兼顾了低优先级消息的公平性。     

VoIP认证与计费的设计与实现

基于RADIUS的VoIP认证系统，采用分散受理、集中管理的接入认证管理体系，数据集中存放在认证中心(RADIUS服务器)，用户身份认证由PC向网守发起，网守通过RADIUS协议向认证中心的认证服务器发起认证请求。这样，可以保证用户安全地使用网络资源，以确保用户身份的合法性。同时其落地话单经过处理，可进行计费及其它帐务处理。文中论述了RADIUS对VoIP的支持，提出了一个Gatekeeper与RADIUS结合的整体解决方案。