异构网中一种能效最优的垂直切换算法

针对传统垂直切换算法中未能考虑能效这一关键因素,提出了一种能效最优的垂直切换算法,算法核心是移动终端检测并计算来至不同候选网络中的接收信号强度以及各候选小区中的系统容量,以候选小区中每单位能量所能提供的容量作为判决准则切入到最佳网络,同时结合传统的网络因子对多属性判决算法进行能效扩展。仿真结果表明,基于单位能量容量的切换算法较传统的切换算法节省10%左右的能量,扩展的多属性判决算法较传统的切换算法节省7%〗左右的能量,同时减少了“乒乓效应”,提高了用户的通信体验质量。     

多网络共存下基于贝叶斯的垂直切换算法

针对目前的垂直切换技术普遍不能满足多网络下的切换问题,提出了一种改进的基于贝叶斯决策的垂直切换算法。首先根据接入终端网络的信号强度、网络负载、误码率和网络阻塞率以及用户业务对网络的实际需求偏好建立多条件相关的切换概率分布,计算出先验切换概率;然后通过贝叶斯决策算法计算出后验概率来进行判决比较,从而选取最优的接入网络。仿真结果表明,该算法不仅能有效地实现不同接入技术之间的垂直切换,从而减少不必要的切换,提高了切换成功的概率,而且还能在维持各网络平均负载达到30%~40%〖时减轻通信热点的阻塞情况,为用户提供更优的服务质量。     

适用于平台摆动模型的HAPS通信系统信道分配算法

针对高空平台(HAPS)遭受平流层横风影响呈现水平摆动现象,引起地面呼叫用户为继续获得可靠服务在蜂窝间来回切换的问题,提出了平台摆动条件下区分用户优先级的信道预留和切换排队相结合的信道分配算法。该算法充分考虑了不同类型用户终端对服务等级的需求,对用户终端进行了优先级区分,且从降低切换失败率的角度,在信道预留基础上对切换呼叫用户进行排队。仿真结果表明,与传统的无优先级切换排队和区分优先级的固定信道预留算法相比,该算法能够显著降低切换掉话率,尤其是高优先级用户的切换掉话率,补偿了因平台运动所导致的系统性能损失。     

离散模糊双线性系统的稳定控制

提出了一种对一类离散模糊双线性系统(discrete-time fuzzy bilinear system,DFBS)稳定控制的新方法.首先,把DFBS转换成一个等价的切换DFBS.然后,基于分段Lyapunov函数,同时考虑同一个子空间内不同模糊子系统之间的相互作用,得到了闭环系统放松的渐近稳定的充分条件.采用锥补线性化(cone complementarity linearization,CCL)算法将控制器的设计转化成一个受线性矩阵不等式(linear matrix inequality,LMI)约束的最小化问题.最后,由仿真数例说明了所提方法的有效性.     

一种在TDD系统切换中有效降低掉线率的方法

对于所有类型的切换算法来说,如何减少掉线率和提高切换成功率是一个十分重要的衡量标准。本文主要研究了当目标小区为TDD系统时的切换过程,提出了一种在切换中降低用户掉线率的方法:当系统无线资源不足时,利用TDD系统不连续帧传输特性来临时提供切换用户资源,降低切换用户掉线率;当系统有资源时,恢复用正常的子帧传输,保证QoS。分析表明这是一种行之有效的方案。     

移动因特网半软切换的仿真研究

MobileIP协议中原有的硬切换算法产生的分组丢失和切换时延大大降低了用户的通信质量，半软切换算法是硬切换的改进算法，本文通过仿真比较了Mobile IP协议中硬切换和半软切换对TCP和UDP流量的影响，并进一步研究了影响半软换性能的因素。     

切换ARMAX系统切换时刻检测算法

辨识切换线性系统的主要难点在于参数估计问题与子系统划分问题耦合。针对该问题，利用卡尔曼滤波与递推扩展最小二乘的联系，证明当所辨识的带外源输入的自回归滑动平均（ARMAX）切换系统在满足严正实条件下，当且仅当输入输出数据来源于同一个子ARMA系统时所构造的新息序列具有白色性。基于此,提出了一种切换ARMAX系统切换时刻检测算法。仿真计算结果验证了所提算法的有效性。     

VHF/UHF空地数据链系统越区切换设计

在研究空地数据链系统的基础上,设计了一个简单适用的越区切换算法,并对算法进行仿真,证明该算法可保证系统连续有效地工作。     

基于神经模糊系统的传感器故障诊断分析

将人工神经网络的学习算法与模糊逻辑理论结合起来建立了传感器故障诊断的模糊系统,使用最小二乘学习算法对模糊系统进行训练,大大地降低了设计难度。     

浅析爱立信GSM网中LOCATING算法

随着基站密度的越来越高,信号重叠覆盖越来越严重,特别是在高层建筑物之间及室内,由于无线电波折射及反射原因,无线信号杂乱,而且信号波动不稳定,切换序列难以预测.因此在切换判决过程中引入了定位算法,使网络切换更加合理,完善.     

移动因特网不同流量下切换损失率研究

根据移动因特网中基本的硬切换和改进的半软切换算法时间流程仿真研究了 2种切换在泊松和自相似流量下的切换损失率。仿真数据表明 ,在网络负载均值相同的情况下 ,对于硬切换和半软切换 ,自相似流量的切换损失率要明显低于传统泊松流量 ,并通过分析泊松和自相似流量的概率密度函数尝试给出产生这一区别的原因。     

地空超短波话音通信网中的越区切换及其关键技术

地空超短波话音通信网是实施航空管制与对空指挥通信的重要基础设施,而越区切 换是其实现连续、不间断地空通信中的重要一环。介绍了地空超短波话音通信网的构成和越 区切换过程,分析比较了地空超短波话音通信网与陆地移动通信系统和数据链系统在越区切 换上的区别,提出并详细阐述了地空超短波话音通信网越区切换的关键技术,展望了地空超 短波话音通信网越区切换的发展方向。     

Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

Abstract

This research proposes an assessment and decision support model to use when a driver should be examined about their propensity for traffic accidents, based on an estimation of the driver’s psychological traits. The proposed model was tested on a sample of 305 drivers. Each participant completed four psychological tests: the Barratt Impulsiveness Scale (BIS-11), the Aggressive Driving Behaviour Questionnaire (ADBQ), the Manchester Driver Attitude Questionnaire (DAQ) and the Questionnaire for Self-assessment of Driving Ability. In addition, participants completed an extensive demographic and driving survey. Various fuzzy inference systems were tested and each was defined using the well-known Wang-Mendel method for rule-base definition based on empirical data. For this purpose, a programming code was designed and utilized. Based on the obtained results, it was determined which combination of the considered psychological tests provides the best prediction of a driver’s propensity for traffic accidents. The best of the considered fuzzy inference systems might be used as a decision support tool in various situations, such as in recruitment procedures for professional drivers. The validity of the proposed fuzzy approach was confirmed as its implementation provided better results than from statistics, in this case multiple regression analysis.     

一种基于TOPSIS信道排序的新频谱切换方案

将接近理想方案的序数偏好法(TOPSIS)应用于认知无线电网络的频谱切换中,通过对 影响切换性能的4个参数的融合,设计了一种基于TOPSIS算法的信道排序方案,通过仿真验 证,设计了各参数的权值。统计结果表明,提出的算法在80%的情况下要优于传统的切换算 法,可以有效减少认知用户的切换次数,提高有效数据传输速率,降低认知用户的通信中断 概率。     

Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study

Fuzzy risk analysis is widely used in risk assessment of components by linguistic terms. Fuzzy numbers are used to quantify the associated uncertainty. This study employs fuzzy risk analysis to evaluate processes for implementing statistical process control (SPC) in a specified manufacturing system. To reach this goal, fuzzy risk analysis has been applied based on both ranking and similarity of generalized trapezoidal fuzzy numbers in a stepwise procedure. Therefore, a new approach has been introduced for fuzzy risk analysis of processes to overcome the shortcomings of previous fuzzy risk analysis approaches. As a result, fuzzy risk analysis is used as a decision making technique to select critical processes under uncertainty. Also, the application of the proposed SPC implementation algorithm is illustrated in the manufacturing line of a car battery factory.     

3G-WLAN融合网络中一种新的双模终端设计

设计了一种能够在3G与WLAN融合网络中智能切换的双模终端模型。为了实现两种网 络之间的无缝切换,提出了网络接口选择算法。该算法通过提前注册和认证机制减少了垂直 切换时延,并采用提前切换的方法减少了垂直切换时数据包丢失。仿真结果验证了设计和算 法具有良好性能。     

面向密集部署的超高吞吐率Wi-Fi融合应用技术

为了降低网络密集部署对超高吞吐率（VHT） Wi-Fi性能的影响,提出了VHT Wi-Fi基于软件定义网络（SDN）的网络架构、无线网络侧虚拟化和增强型认证与快速切换技术,以提高系统的共存性、抗干扰性和安全性。实验结果表明,VHT Wi-Fi与SDN、网络功能虚拟化、伽罗瓦/计数模式协议结合,吞吐率性能获得约10%的提升,在保证安全性同时平均切换时延降低至40 ms,可保障VHT Wi-Fi在密集部署网络中发挥重要作用。     

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.