基于OR1200的AVS视频解码帧内亮度预测的硬件模块设计

介绍了基于开源微处理器OpenRISC1200的AVS视频解码帧内亮度预测硬件模块的设计与验证仿真。     

模型驱动工程在分布式实时嵌入式系统QoS评价中的应用

在分析传统的分布式实时嵌入式系统开发过程中,针对服务质量(QoS)评价方法存在弊端的问题,总结了运用模型驱动工程(MDE)对分布式实时嵌入式系统的服务质量进行管理,将服务质量评价引入系统开发周期的各种探索,指出该方法应解决的几个关键问题,并分析了几种具有代表性解决方案的优缺点,提出了解决方法和建议.     

UNIFAC及其改进模型的评价研究

用UNIFAC及其修正模型估算了含芳香烃、二甲苯同分异构体和极性物质体系的汽液平衡,并将计算结果与实验数据相比较。结果表明,原始UNIFAC模型对含二甲苯同分异构体体系计算精度高于UNIFAC(Larsen)模型和UNIFAC(Dortmund)模型好,而对于极性或弱极性体系,则后2种模型结果较令人满意,但对于强极性体系偏差较大。     

D-S证据理论在车辆几何参数动态测量中的应用

利用多个超声波传感器组成传感器阵列对行驶车辆的几何参数进行动态扫描,采用D-S证据理论多传感器数据融合算法,对多个传感器采集的数据进行融合,将在DSP上融合的结果上传至上位机,由上位机分析行驶车辆的车长、车宽、车高、车速,为交通管理提供技术保障和原始数据支撑。测试结果表明,该方法可以更准确的测量车辆几何参数。     

颜色空间在图像彩色化处理中的应用分析

图像彩色化处理通常遵循颜色的局部相似性原则,选择适当的颜色空间是其重要问题。以能否实现颜色的亮度与色度分离为依据,将常用颜色空间分为颜色构成空间和颜色属性空间。考察了不同颜色空间中颜色分布的光滑程度,评估了各颜色空间在彩色化处理中的适用性。理论和实验结果表明,颜色属性空间更适用于彩色化处理。结合对彩色化本质的分析,引出了有关颜色空间选择的若干结论。     

煤矿放炮前自动洒水控制系统的研究

在煤矿井下实际生产中,放炮员可能不洒水就开始放炮,容易发生放炮爆炸事故。针对该问题,文章提出了一种由P89LPC932单片机控制的基于倍压整流电路的煤矿放炮前自动洒水控制系统的设计方案,详细介绍了系统组成、功能、工作原理及主要电路的设计。样机系统的应用表明,该系统不但满足了不洒水不能放炮的要求,而且可以根据现场设定的洒水总量实现洒水闭锁功能,实用性好。     

Efficient application identification and the temporal and spatial stability of classification schema

Motivated by the importance of accurate identification for a range of applications, this paper compares and contrasts the effective and efficient classification of network-based applications using behavioral observations of network-traffic and those using deep-packet inspection.Importantly, throughout our work we are able to make comparison with data possessing an accurate, independently determined ground-truth that describes the actual applications causing the network-traffic observed.In a unique study in both the spatial-domain: comparing across different network-locations and in the temporal-domain: comparing across a number of years of data, we illustrate the decay in classification accuracy across a range of application–classification mechanisms. Further, we document the accuracy of spatial classification without training data possessing spatial diversity.Finally, we illustrate the classification of UDP traffic. We use the same classification approach for both stateful flows (TCP) and stateless flows based upon UDP. Importantly, we demonstrate high levels of accuracy: greater than 92% for the worst circumstance regardless of the application.     

Research on delamination monitoring for composite structures based on HHGA–WNN

Due to the deficiencies of the training algorithms for available wavelet neural network used for structural health monitoring, a new hybrid hierarchy genetic algorithm was introduced by combining hierarchy genetic algorithm and least-square method to improve the learning procedure of wavelet neural network. The hybrid algorithm was able to determine the structure and parameters of the wavelet neural network simultaneously. In this algorithm, adaptive crossover and mutation probability were used to accelerate the genetic speed and avoid the occurrence of prematurity. The modal frequencies of a glass/epoxy laminates beam with varying assumed delamination sizes and locations were computed using finite element method and fed into the wavelet neural network to predict the delamination location and its extent. The simulation demonstrates that the wavelet neural network based on hybrid hierarchy genetic algorithm is robust, promising and converges very fast.