一种在OFDMA使用的公平自适应资源配置方案

在OFDMA中使用了跨层(Cross-layer)来进行自适应资源调配。OFDMA系统中利用跨层结构,在数据链路层的信息可以用来实现自适应资源调配。根据这个设想,设计了一个新的跨层自适应资源调配方案来保证用户在连接层中等待时间的公平性,并取得更好的频谱利用率。     

针对Telnet协议的入侵检测研究

远程登录是互连网上最常用的应用之一．而Telnet已经是Internet上实现远程登录的事实标准,它为客户访问一个远程主机提供一个标准接口．即网络虚拟终端服务．利用Telnet协议的入侵主要集中在选项协商上．所以根本问题是从选项协商人手．通过对几种选项协商的分析,给出了此检测的流程图、相关代码和其运行结果。     

Predicting bankruptcy using recursive partitioning and a realistically proportioned data set

Auditors must assess their clients' ability to function as a going concern for at least the year following the financial statement date. The audit profession has been severely criticized for failure to ‘blow the whistle’ in numerous highly visible bankruptcies that occurred shortly after unmodified audit opinions were issued. Financial distress indicators examined in this study are one mechanism for making such assessments. This study measures and compares the predictive accuracy of an easily implemented two‐variable bankruptcy model originally developed using recursive partitioning on an equally proportioned data set of 202 firms. In this study, we test the predictive accuracy of this model, as well as previously developed logit and neural network models, using a realistically proportioned set of 14,212 firms' financial data covering the period 1981–1990. The previously developed recursive partitioning model had an overall accuracy for all firms ranging from 95 to 97% which outperformed both the logit model at 93 to 94% and the neural network model at 86 to 91%. The recursive partitioning model predicted the bankrupt firms with 33–58% accuracy. A sensitivity analysis of recursive partitioning cutting points indicated that a newly specified model could achieve an all firm and a bankrupt firm predictive accuracy of approximately 85%. Auditors will be interested in the Type I and Type II error tradeoffs revealed in a detailed sensitivity table for this easily implemented model. Copyright © 2000 John Wiley & Sons, Ltd.     

Neural networks and the multinomial logit for brand choice modelling: a hybrid approach

The study of brand choice decisions with multiple alternatives has been successfully modelled for more than a decade using the Multinomial Logit model. Recently, neural network modelling has received increasing attention and has been applied to an array of marketing problems such as market response or segmentation. We show that a Feedforward Neural Network with Softmax output units and shared weights can be viewed as a generalization of the Multinomial Logit model. The main difference between the two approaches lies in the ability of neural networks to model non‐linear preferences with few (if any) a priori assumptions about the nature of the underlying utility function, while the Multinomial Logit can suffer from a specification bias. Being complementary, these approaches are combined into a single framework. The neural network is used as a diagnostic and specification tool for the Logit model, which will provide interpretable coefficients and significance statistics. The method is illustrated on an artificial dataset where the market is heterogeneous. We then apply the approach to panel scanner data of purchase records, using the Logit to analyse the non‐linearities detected by the neural network. Copyright © 2000 John Wiley & Sons, Ltd.     

基于BQPSO的无线传感器网络节点调度算法

在多目标跟踪中,要求无线传感器网络在满足跟踪精度的前提下,最大限度地降低对传感器资源的使用。基于这一目的,适当选择节点避免共线度过高,并采用APIT实现精确定位,同时考虑跟踪簇总能耗设计节点调度目标函数,采用二进制量子粒子群优化算法解决传感器资源冲突问题。仿真结果表明:虽然基于BQPSO的节点调度算法比基于PSO的节点调度算法在能耗上增加了17.47%,但定位精度可以提高31.84%。算法在提高定位精度的同时最大限度地降低了对资源的使用,有效延长了无线传感器网络的工作寿命。     

DHCP中继代理在网络仿真平台上的设计与实现

提出了一种基于网络仿真平台实现DHCP中继代理的设计方案。首先使用VMware构建网络仿真平台。接着利用Windows Server 2003的路由和远程访问服务、DHCP服务,实现不同子网之间的路由。并能为不同子网间客户机动态分配IP地址。最后,对该设计方案进行了仿真实验。实验表明该设计方案运行稳定、安全性较高、无需专用的路由设备,也无需多台DHCP服务器。且成本低廉、易于实现,是一个可以推向实用的设计方案。     

基于CC1100的无线传输系统设计

无线射频（RF）是本世纪最有发展前途的信息技术之一,而CC1100正是其中一种单片UHF射频芯片,其低功耗、灵敏度高、链接性能好、工作稳定、外围元件简单的特点,得到了广泛地应用。本文介绍了一种以STC89C52单片机为控制核心,基于无线收发芯片CC1101的通信系统。通过对其的DATASHEET,工作原理以及工作方式进行了分析,设计了该系统的硬件电路并编写了CC1101芯片的通信软件,实现了点对点的无线数据通信,并增加了慢启动-拥塞避免功能和路由转发功能,使该无线数据传输系统的应用面增广,更加适合在不同突发状况下的无线数据传输。     

自适应切换策略对VoWLAN性能改进的研究

为了保证服务质量,IEEE 802.11工作组指出因特网语音服务的切换时延不应该超过50 ms。本文提出了一种自适应切换策略：信令分组的传输发生在控制信道上,从而缩短了信令分组的接入时延;数据信道上的因特网语音分组具有高于数据分组的接入优先权,保证了因特网语音业务的实时性;而且,切换时移动台在选择目标接入点时结合了信号强度和当前负荷来完成,避免了接入点负荷过大,造成网络性能下降。仿真结果显示,该策略在保证切换时延不超过规定门限值的同时,资源利用率比现有的快速扫描算法提高了9%左右,业务成功接入率提高了10%。     

基于Multi-Agent技术的三层信息融合系统研究

针对传统传感器网络管理复杂,系统信息融合智能化不高、精度低和模式单一、结构不清晰等不足,首先分析了Multi-Agent技术、传感器网络技术以及信息融合技术的独特优势,然后采用计算机网络分层结构思想和基于人工智能本体的知识表达理念,在信息融合过程中采用改进的SVM分类方法,构建了一种基于Multi-Agent技术的多传感器三层信息融合系统并对其具体融合过程进行了分析。最后对分类过程用MATLAB进行了分析。实验结果表明:系统分类精度较高,一定程度上不仅明显弥补了传统传感器的诸多不足,而且为后期决策提供了较为精准的目标参数。     

基于DVB-C的数字电视条件接收系统的设计与实现

针对我国数字电视广播的机卡分离产业政策,提出了一种基于智能卡条件接收接口（SCAI）的数字电视接收机（包括机顶盒和一体机）机卡分离技术。该技术不需要改变现有数字电视接收机的硬件配置,只需要在接收机中嵌入一个符合SCAI规范的条件接收软件插件就可以配合相应的条件接收智能卡实现条件接收功能,从而使得接收机成为与发射端特定条件接收系统无关的通用接收平台。该技术与国内外提出的基于PCMCIA卡或USB2．0卡的机卡分离方案相比,成本更低,实现更简洁。该技术方案也是我国数字电视广播的候选行业标准之一。