关于高速公路桥梁伸缩缝装置的选型

着重阐述了模数式桥梁伸缩缝装置的优点,以及具有代表性的毛勒桥梁伸缩缝装置在高速公路中的应用.     

HLA中数据分发管理的研究

在基于HLA(High Level Architecture)/RTI(Run Time Infrastructure)的分布式交互仿真中,DDM(Data Distribution Management)之所以关键就是能在联邦间建立有效的信息交互和传送机制以满足系统可扩缩性的要求.在已有的一些区域重叠算法应用中,其性能依路径空间中区域的不同分布有着很大的波动.所以,我们需要一种初始的估计机制来计算路径空间中的区域的不同分布,从而以此为根据来选取最适合区域具体分布的DDM算法.     

五味子有效成分保护心室重构的研究进展

五味子对心血管、免疫系统及CNS具有调节作用,阐述了五味子中有效成分木脂素和多糖保护心室重构的作用.     

优化小波神经网络停车泊位多步预测

【目的】通过改进停车泊位预测方法为交通出行提供有益帮助。【方法】利用李雅普指数对停车泊位序列进行分析,指出序列具有混沌特性,可进行多步预测。利用db32小波函数具有双正交性、紧支撑性以及消失矩阶数较大的特征,对归一化的停车泊位序列进行多尺度分解与重构,并作为小波神经网络(Wawelet neural network,WNN)的隐含层函数。为提高预测精度和降低预测时间,分别使用粒子群算法(Particle swarm optimization,PSO)和极限学习机(Extreme learning machine,ELM)来优化WNN。其中,使用PSO对WNN的权值进行调整,逐步迭代得到最优值;使用ELM将全局最优值作为单隐层前馈神经网络的输入,使得算法尽快收敛。优化后的WNN结合迭代多输出法对停车泊位进行预测。将上述预测方案称为极限学习机和粒子群算法双重优化的小波补缀网络多步预测(Multi-step prediction based on wavelet neural networkimproved by extreme learning machine and particale swarm optimization,MP-EPWNN)。【结果】仿真实验表明,相对于BP神经网络、遗传算法优化小波神经网络、极限学习机优化小波神经网络、粒子群优化小波神经网络4种算法,MP-EPWNN算法的预测均方误差平均降低了96.6%,预测所需的时间平均降低了65.97%。【结论】MP-EPWNN算法预测停车泊位是有效的。
     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.     

基于单片机的自动光控窗帘设计与实现

随着人们生活质量的提高,智能家居迅速进入家庭,例如光控自动窗帘。本文采用AT89C52单片机为核心控制器件设计了一款光控自动窗帘,通过两个按钮和光敏传感器控制窗帘的闭合。光敏电阻采集到光信号后由光电传感器PCF8591转化成数字信号传送至单片机,单片机处理后,信号被传送至电机驱动芯片ULN2003,驱动芯片驱动电机进行正转与反转。从实际应用方便的角度出发,又增加了手动功能,无论光照强度如何,都可以进行手动控制窗帘的开合。     

Improving the photocatalytic activity of graphitic carbon nitride by thermaltreatment in a high-pressure hydrogen atmosphere

Extending visible light absorption range and suppressing the recombination of photogenerated charge carriers are always important topics in developing efficient solar-driven photocatalysts. In this study, the thermal treatment process at 400 °C in a high-pressure hydrogen atmosphere was applied to modify graphitic carbon nitride. Compared to the normal atmospheric hydrogen treatment process, this process has the merit of producing nitrogen deficient graphitic carbon nitride in high-yield. The optimal photocatalytic activity of modified graphitic carbon nitride was demonstrated by controlling the treatment duration in the hydrogen atmosphere.The changes in the crystal structure, microstructure and optical properties of carbon nitrides were investigated by several characterizations. The relationship between the photocatalytic activity and structures of graphitic carbon nitride was preliminarily established. The results obtained in this study could provide some new ways of improving the activity of graphitic carbon nitride based photocatalyst.     

四川省生物医药产业创新驱动关键因素分析及发展建议

当前我国经济正处于向创新驱动转变的关键时期,生物医药产业将通过创新驱动实现产业转型升级。本文梳理和分析了影响生物医药产业创新发展的关键因素,并结合四川省生物医药产业发展现状和实际情况,提出了发展建议。     

BotGuard: Lightweight real-time botnet detection in software defined networks

The distributed detection of botnets may induce heavy computation and communication costs to network devices. Each device in related scheme only has a regional view of Internet, so it is hard to detect botnet comprehensively. In this paper, we propose a lightweight real-time botnet detection framework called Bot-Guard, which uses the global landscape and flexible configurability of software defined network (SDN) to identify botnets promptly. SDN, as a new network framework, can make centralized control in botnet detection, but there are still some challenges in such detections. We give a convex lens imaging graph (CLI-graph) to depict the topology characteristics of botnet, which allows SDN controller to locate attacks separately and mitigate the burden of network devices. The theoretical and experimental results prove that our scheme is capable of timely botnet detecting in SDNs with the accuracy higher than 90% and the delay less than 56 ms.     

偏心圆弧型超越离合器工作型面设计方法及误差分析

为克服现有超越离合器工作型面加工难度大、加工成本高以及加工精度低等缺点,在分析超越离合器结构及工作条件的基础上,提出一种偏心圆弧型超越离合器工作型面的设计方法;以某家用汽车使用的对数螺线型超越离合器为例,应用提出的方法完成了该离合器偏心圆弧工作型面的设计,通过比较前后两种工作型面楔角及中心距等方面的误差,对该方法的可行性进行了验证。结果表明,该方法设计的偏心圆弧型面与原有对数螺线型面相比,误差较小,且因改进后的超越离合器工作型面采用圆弧面,加工难度大为降低、加工精度较好,从而在保证加工质量的前提下降低了加工成本。