基于BP神经网络和模糊推理系统的短时交通流预测

本文研究短时交通流预测。短时交通流预测是智能交通系统研究和实践的必要基础。本文提出和建立了一个短时交通流量预测模型,该模型利用一个基于规则的模糊系统,非线性地组合BP 神经网络模型和自适应卡尔曼滤波模型的交通流量预测结果,使得短时交通流量的预测结果更加准确可靠。该模型将传统方法和人工智能方法有机结合,一方面,利用人工神经网络强大的动态非线性映射能力,从而提高预测精度;另一方面,充分发挥卡尔曼滤波的静态线性稳定性,解决了单独使用BP神经网络进行预测时识别率不理想和可信度不高的问题。实验结果表明,本文提出的短时交通流预测模型具有较高的准确度和可靠度。     

基于C8051的蓝牙无线通信模块设计

针对工业设备中或者产品研发阶段大多数通过有线方式通信,通信距离受限制、不易移动、适用范围窄等缺陷,设计了一款基于C8051单片机的蓝牙无线通信模块,解决了以上问题.此蓝牙通信模块具有传输稳定、便于携带、适用范围广等优点,是实验人员及工业设计中良好的选择.     

基于C#的数据处理与分析的上位机软件设计

针对工程中对数据处理与分析的需求越来越高,提出了一种实用的、基于C#的上位机设计。主要功能包括数据采集、数据处理、数据分析,上位机软件设计采用VS2010下的VC#语言进行编程。在软件界面框架设计方面,选择的是Visual C#下的Windows窗体应用程序来实现上位机界面的设置。     

一种基于资源预分配的虚拟机软实时调度方法

虚拟机技术作为云计算的重要技术之一,近年来得到广泛关注,但是由于虚拟机管理层的存在,导致语义鸿沟,使得实时应用程序、并发程序等在虚拟机上的运行性能受到影响。分析和研究了Xen虚拟机管理器的Credit调度算法,针对其在并发调度和软实时调度方面存在的不足,提出了改进调度算法,实现了算法的调度器原型。新的调度算法对软实时虚拟机进行Credit比例预分配,采用动态调度时间片机制,以non-work-conserving方式实现软实时任务周期调度,保障调度周期满足运行周期要求。通过区分并发和非并发软实时虚拟机,采取不同的调度策略,在满足资源利用率的基础上,确保实时任务的顺利运行。测试结果表明,该调度算法在对并发和非并发软实时任务调度上,具有良好的表现,较好满足了软实时应用调度需求。     

Electrostatic force microscopy of self-assembled peptide structures

In this report electrostatic force microscopy (EFM) is used to study different peptide self-assembled structures such as tubes and particles. It is shown that not only geometrical information can be obtained using EFM, but also information about the composition of different structures. In particular we use EFM to investigate the structures of diphenylalanine peptide tubes, particles, and CSGAITIG peptide particles placed on pre-fabricated SiO(2) surfaces with a backgate. We show that the cavity in the peptide tubes could be due to the presence of water residues. Additionally we show that self-assembled amyloid peptides form spherical solid structures containing the same self-assembled peptide in its interior. In both cases transmission electron microscopy is used to verify these structures. Further, the limitations of the EFM technique are discussed, especially when the observed structures become small compared with the radius of the AFM tip used. Finally, an agreement between the detected signal and the structure of the hollow peptide tubes is demonstrated.     

Atom probe tomography and transmission electron microscopy characterisation of precipitation in an Al-Cu-Li-Mg-Ag alloy

State-of-the art atom probe tomography (APT) combined with transmission electron microscopy (TEM) were used to investigate the microstructure at different stages of the ageing process of an alloy of composition (at%) Al-1.68%Cu-4.62%Li-0.33%Mg-0.1%Ag. These alloys were shown to exhibit a complex microstructure of T₁ plates and several metastable phases, including θ′ and S. We will highlight the early stages of clustering, precipitate interactions and possible solute segregation at the matrix/precipitate interfaces and detail the chemical composition of the different phases.     

Optimisation of specimen temperature and pulse fraction in atom probe microscopy experiments on a microalloyed steel

This paper details the effects of systematic changes to the experimental parameters for atom probe microscopy of microalloyed steels. We have used assessments of the signal-to-noise ratio (SNR), compositional measurements and field desorption images to establish the optimal instrumental parameters. These corresponded to probing at the lowest possible temperature (down to 20 K) with the highest possible pulse fraction (up to 30%). A steel containing a fine dispersion of solute atom clusters was used as an archetype to demonstrate the importance of running the atom probe at optimum conditions.     

ERDAS LPS与TerraSolid软件相结合快速制作低空数码遥感正射影像图的方法

分析了ERDAS的LPS模块制作DOM的方法及其存在的缺点,介绍了一种结合ERDAS LPS与TerraSolid软件,快速处理超轻型飞机低空数码遥感系统获取的数码航摄影像,制作DOM的技术流程,并通过实验验证了此方法在超轻型飞机低空数码大比例尺航空正射影像图制作中的适应性.     

基于免疫遗传算法的QoS选播路由

将免疫算法与传统遗传算法相结合,既保留了原算法较强的全局搜索能力,又避免了局部搜索性能差和早熟现象。在提出改进算法的基础上,对带时延约束的QoS选播路由问题作了深入研究,并经过实验分析证明,该算法提高收敛速度接近18%,而且具有更高的搜索精度和更可靠的稳定性等特点。     

基于模糊Petri网的汽车故障诊断仿真研究

本文将Petri网和模糊推理相结合,建立故障诊断的模糊Petri网模型。其中,用FPN表示模糊产生规则,用Petri网的变迁激活规则进行故障诊断推理,从而分析出异常行为过程间的因果关系,推理出故障的原因及其可信度。以汽车故障诊断为例,建立了基于模糊Petri网的诊断模型。通过仿真分析,验证了模型的正确性和算法的有效性。