Ad hoc网络中一种新的基于预约调度和MPR的媒体接入控制算法*

提出了一种新的适用于Ad hoc网络的媒体接入控制算法,该算法通过五次握手预约调度资源,利用节点底层的多包接收(MPR)能力,保证高概率的接入和提高并行传输率,从而提高网络吞吐率。对算法进行了理论分析和仿真,分析结果表明与FPRP相比,有效地提高了Ad hoc网络的吞吐率。     

多速率Ad hoc网络MAC层公平性的分析与改进

在多速率Ad hoc网络中,利用自适应速率调整算法,网络节点可以根据信道质量选择不同的传输速率,从而提高网络的总体通信能力。对多速率Ad hoc网络MAC层公平性进行了仿真和分析,实验结果表明基于IEEE 802.11的多速率Ad hoc网络中存在严重的公平性问题。通过对吞吐率公平和时间公平的讨论,指出在多速率Ad hoc网络中进行MAC层公平性研究,时间公平性标准是较优的选择。另外提出一种针对多速率Ad hoc网络的改进公平回退（EFB）算法,仿真实验的结果表明该算法能够明显提高多速率Ad hoc网络的MAC层公平性。     

基于准瓶颈节点的干扰优化拓扑控制算法

干扰是严重影响Ad hoc网络的网络吞吐率主要原因之一。已有的基于网络链路和路径的局部干扰优化算法并未考虑网络中准瓶颈节点对网络干扰的影响,准瓶颈节点不仅影响网络的吞吐率,还可能破坏网络的连通性。利用分布式算法找出准瓶颈节点,构建链路干扰度的本地最小生成树,提出一种新的干扰优化拓扑控制算法（Quasi-bottleneck node-based Interference-optimization Algorithm,QIA）,有效地降低准瓶颈节点对网络的干扰。仿真实验结果表明,QIA算法在保证网络连通性的前提下,降低了网络干扰。该算法同经典干扰优化拓扑控制算法相比,网络吞吐率提高了约10%~30%。     

一种Ad Hoc网络接入Internet的机制

方便地接入Internet．对于发挥Ad hoc网络的潜能至关重要首先说明了Ad Hoc网络接入Internet面临的问题．然后介绍了一种基于连接共享机制使Ad hoc网络接入Internet的网络配置．接着详细阐述了连接共享的过程和相关机制．并对连接共享协议的开销进行了分析。     

Ad hoc网络中基于TDMA的定向发送和接收算法

近期研究结果表明利用有向天线实现定向发送和定向接收比用全向方式能显著提高系统吞吐量.为了支持多媒体和实时业务,在Ad hoc网络中提供服务质量(QoS)是一个关键部分.提出了一种利用有向天线且提供QoS支持适用于Ad hoc网络的分布式媒体接入控制(MAC)算法.仿真结果表明该算法与IEEE 802.11相比提高了系统吞吐量并降低了端-端延迟.     

Ad hoc网络中的一种独立多路径路由算法

目前Ad hoc网络正成为网络发展的热点，该文介绍Ad hoc网络，分析比较了单路径和多路径算法，就多路径算法加以分析，同时借鉴按需路由的思想，在DSR防议的基础上提出了Ad hoc网络的一种按需的独立多路径算法.     

DSR协议的优化研究

在Ad hoc无线网络环境下,探索对DSR协议的优化。优化协议是一种结合蚂蚁网络算法,通过运用多径手段来提高路由可靠性的新型Ad hoc网络路由协议。该算法采用按需路由方式,不仅用蚂蚁网络算法为源结点提供到目的结点的多条路径,而且为了克服蚂蚁网络算法的滞后性,将蚂蚁网络算法进行了改进。仿真表明,优化协议提高了整个网络的吞吐量并降低了整个网络的丢包率。     

无线Ad hoc网络异步MAC层接入协议研究

针对无线Ad Hoc网络中三种典型的异步MAC层接入协议:MACAW、FAMA-NTR和DBTMA,从协议的基本思想、算法描述、协议状态流程等方面进行了探讨.其研究成果可以为进一步探讨无线Ad hoc网络异步MAC层接入协议提供参考.     

移动Ad hoc网络路由安全性研究*

Ad hoe网络的安全性问题越来越引起人们的关注,如何确保Ad hoc网络路由协议的安全成为Ad hoc研究的一项关键技术。对不同的路由协议算法容易遭受的恶意攻击进行了分析和研究,并给出了不同Ad hoc网络路由协议的相应安全策略。     

基于双线性配对的Ad hoc网络混合门限签名方案*

为了解决Ad hoc网络中的签名及密钥安全问题,利用双线性配对的优点,结合混合门限签名机制,设计了适用于Ad hoc网络的基于双线性配对的混合门限签名算法。该算法可以有效提高网络传输效率、节省数据传输量,在安全性及效率上更能满足Ad hoc网络及传感器网络的需要。     

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     

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。     

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.     

一种改进的心电信号预处理方法研究

心电信号是典型的强噪声下的非平稳微弱信号,减小噪声的干扰对心电信号的分析有着十分重要的意义,因此,有效的滤波方法一直是该领域学者关注的热点问题。本文在基于小波变换心电信号分析研究基础上,针对小波去噪时分解只作用于低频部分,从而忽略了高频区域中一部分有用信号的问题,提出了一种采用改进小波包理论实现心电信号去噪的方法,利用小波包在消除信号噪声方面具有更为精确的局部分析能力的特点,采用了‘db4’小波和＂最优基＂选择的方法,对心电信号进行消噪。以MIT-BIH心电数据库中心律失常数据仿真实验,得到了较理想的去噪效果。对比该方法与小波滤波去噪,发现基于小波包的心电信号去噪具有更优良的去噪性能。     

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。     

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.