多业务移动通信系统中的呼叫接入控制

在多业务无线移动通信系统的呼叫接入控制中,不仅要考虑业务之间的优先级,同时也必须考虑切换呼叫的优先级。本文结合可移动边界算法和保护信道策略,提出了一种有效的多业务呼叫接入控制算法。为了方便地分析方案的性能,设计了一个二维的Markov链对方案的性能进行理论上的分析。通过数值分析结果表明,提出的算法同时保证了两种优先级,并提高了系统的性能。1     

Markov不等式与H(?)lder不等式的差异性

通过对(李亚普诺夫)不等式的证明,论证了Markov不等式及Holder不等式的差异性,同时讨论了2个不等式的适应范围。     

Driving intention recognition and behaviour prediction based on a double-layer hidden Markov model

We propose a model structure with a double-layer hidden Markov model (HMM) to recognise driving intention and predict driving behaviour. The upper-layer multi-dimensional discrete HMM (MDHMM) in the double-layer HMM represents driving intention in a combined working case, constructed according to the driving behaviours in certain single working cases in the lower-layer multi-dimensional Gaussian HMM (MGHMM). The driving behaviours are recognised by manoeuvring the signals of the driver and vehicle state information, and the recognised results are sent to the upper-layer HMM to recognise driving intentions. Also, driving behaviours in the near future are predicted using the likelihood-maximum method. A real-time driving simulator test on the combined working cases showed that the double-layer HMM can recognise driving intention and predict driving behaviour accurately and efficiently. As a result, the model provides the basis for pre-warning and intervention of danger and improving comfort performance.     

Transit smart card data mining for passenger origin information extraction

The automated fare collection(AFC) system,also known as the transit smart card(SC) system,has gained more and more popularity among transit agencies worldwide.Compared with the conventional manual fare collection system,an AFC system has its inherent advantages in low labor cost and high efficiency for fare collection and transaction data archival.Although it is possible to collect highly valuable data from transit SC transactions,substantial efforts and methodologies are needed for extracting such data because most AFC systems are not initially designed for data collection.This is true especially for the Beijing AFC system,where a passenger’s boarding stop(origin) on a flat-rate bus is not recorded on the check-in scan.To extract passengers’ origin data from recorded SC transaction information,a Markov chain based Bayesian decision tree algorithm is developed in this study.Using the time invariance property of the Markov chain,the algorithm is further optimized and simplified to have a linear computational complexity.This algorithm is verified with transit vehicles equipped with global positioning system(GPS) data loggers.Our verification results demonstrated that the proposed algorithm is effective in extracting transit passengers’ origin information from SC transactions with a relatively high accuracy.Such transit origin data are highly valuable for transit system planning and route optimization.     

改进的门单元多输入跳变电流源模型

电压信号的非线性问题和多输入跳变现象给时序分析带来了严重挑战.为更好地解决此问题,文中设计电路对门单元输入端和内部节点间的密勒电容进行了验证,从器件结构上分析了其来源,并通过引入该电容改进了已有多输入跳变电流源模型,以获得更高的模型精度;同时将二输入门单元模型扩展到多输入门单元,并详述了建模方法.多种门单元上的数值实验结果表明,与已有模型相比,在可接受的时间开销内,文中模型能够显著地提高门单元时延和输出波形的仿真精度.     

一种考虑三相故障相角跳变补偿的后续换相失败抑制方法

为了降低高压直流(high voltage direct current,HVDC)输电系统后续换相失败的发生概率,提出一种考虑三相故障相角跳变补偿的后续换相失败抑制方法。首先通过理论推导分析相角跳变的产生机理,然后在此基础上分析其对后续换相失败的影响;接着通过对比首次换相失败与第二次换相失败过程中各电气量的波形图,得到相角跳变是引发后续换相失败的重要原因,并基于换相电压-时间面积法则,依据故障的严重程度增加故障期间的越前触发角的增量,进而抑制后续换相失败;最后基于CIGRE标准模型,在PSCAD/EMTDC中实现所提控制方法。仿真结果表明,所提方法可有效地抑制HVDC输电系统的后续换相失败,从而改善其故障恢复特性。     

通用变频器系统参数设定分析

变频器的系统参数设定对变频调速系统的正常运行起着举足轻重的作用。本文对通用变频器系统参数没定的几个方面作一个初步的探讨。     

基于最佳竞争窗口的IEEE802.11DCF接入协议改进及性能分析

针对DCF协议的初始竞争窗口不能随着节点数变化选择其最佳值的不足,提出一个具有两级退避的接入协议(OCW-DCF),并用Markov模型分析了协议性能,确定其最佳竞争窗口值。仿真结果表明,OCW-DCF协议能有效减小信道接入延时,且采用基本接入模式的总体性能比RTS/CTS接入模式的好。     

随机非线性和部分转移概率未知时马尔科夫系统的H1控制

研究上述系统时: 1) 利用了非线性的概率分布信息; 2) 利用了转移概率中已知部分和未知部分的关系. 利用李雅普诺夫泛函方法和线性矩阵不等式方法, 本文得到了使得系统随机稳定的充分条件并得到了相应的反馈控制增益. 文中最后给出的例子表明了所建立模型和分析方法的有效性.     

基于HMM的联机手写哈萨克文字的识别研究

以基于隐马尔可夫模型和统计语言模型的研究作为基础,着重研究联机手写哈萨克文的切分技术、连体段分类和特征参数的独特提取技术。系统先将提取延迟笔划后的连体段主笔划作为HMM识别器的输入,再根据被识别的主笔划的编号和延迟笔划标记从连体段分类词典中查找,找到对应的连体段识别结果。通过去除连体段延迟笔画的方法可以有效地减少需建立的模型数目,进而提高识别速度和避免由字符切分所带来的问题。