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     

蚂蚁路由算法中agent分析

就蚂蚁路由算法的agent数量和跳跃步数的行为提出简要分析,并在节点agent数量的期望,agent跳跃步数的期望方面给出结论.提出如何设计k值(对每个请求产生的agent的数目)和agent最大跳跃数以减少对网络流量和主机计算能力的影响.     

推进信息化，提高电机企业核心竞争力

随着国际互联网在全球的日益普及，电子商务得到了迅速发展。全球化与信息化的互动将成为世界经济持续增长的主要推动力之一。我国加入世贸组织之后，国内企业已直接面对国际大市场和国内外同行的竞争，企业欲实现跳跃式地发展，除管理思想必须脱胎换骨外，首先应实现企业管理和技术的跳跃，否则将无法适应世界潮流。     

扩展有限元法在线弹性断裂力学中的应用研究

采用改进的XFEM对有限板单边裂纹的应力强度因子和Ⅰ型裂纹的扩展进行分析，数值计算结果表明了该方法的有效性，从而避免了常规有限元方法中的网格重构，大大简化了裂纹扩展的分析过程。     

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.     

基于U-Net的多尺度融合视网膜血管分割算法

针对眼底血管图像具有形状多样、分叉较多、曲度复杂的特点,提出了一种多尺度融合视网膜血管分割算法.该算法基于U-Net模型进行改进,首先在编码和解码部分使用短跳跃连接模块将网络浅层和深层的特征信息进行融合,通过增加浅层特征的权重,更多地保留了血管的边缘和细微结构信息.其次在编码部分采用空洞卷积构建空洞空间金字塔池化模块代替传统卷积块,来扩大算法的感受野,从而在不增加网络参数的同时进行多尺度特征融合,提取更丰富的空间信息.通过在DRIVE数据集上进行验证,实验结果表明:本算法的准确率和AUC值分别达到0.9572、0.9811,与U-Net等其他基于深度学习的算法相比分割效果更优,从而验证本算法在视网膜血管分割中更加有效.     

±800kV直流输电线路重冰区导、地线脱冰冲击敏感因素浅析.

结合±800 k V直流输电线路重冰区的实际工程数据,基于脱冰数值计算理论,通过数值方法模拟了六分裂导线在不同档数、档距、高差等复合因素影响下导线的脱冰动力响应过程,分析不同参数条件下导线和地线脱冰对悬垂绝缘子串和耐张绝缘串的冲击效应,得到最不利脱冰冲击效应的控制因素。研究表明:不同档距和高差组合下,档距和高差均最大时脱冰后的冲击效应最强;对于连续档,不同档脱冰时,对其相邻档导地线串的冲击效应最大;脱冰水平冲击效应主要受水平档距的影响,垂直冲击效应主要受高差的影响。