结合C/S架构和BRF算法的移动增强现实研究

目的提出一种结合C/S(Client/Server)架构和BRF(Boosted random ferns)算法的移动增强现实应用方案,以保证图像识别算法对于产品外包装的识别性能。方法 BRF是一种高效、鲁棒的特征匹配算法,但由于手机内存及处理器等硬件条件的制约,不能直接适用于手机终端。将C/S模式与BRF算法相结合应用于图像特征匹配,并设计实验测试比较文中方案(CS-BRF)与ORB算法的识别速度和匹配精度。结果实验结果表明,相比ORB算法,CS-BRF在识别速度相近的前提下,具有更为优异的识别精度。结论 CS-BRF能够实时准确识别印刷品图像,良好适用于产品包装移动增强现实系统。     

类间数据不均衡条件下基于平衡随机森林的轴向柱塞泵故障诊断方法

针对轴向柱塞泵实际故障诊断中采集到的故障类数据远少于正常类数据的情况,为提升故障分类精确率,提出了一种基于平衡随机森林(Balanced Random Forest,BRF)的轴向柱塞泵故障诊断方法.BRF算法是随机森林(Random Forest,RF)的改进算法,将欠采样方法与RF结合,强化了RF处理非均衡数据的能...     

风电场机组监控系统工业以太网解决方案

随着风力发电场的大量建设,风场变电站SCADA监控系统、风场视频安防系统、风力发电机组远程监控系统也大量应用,监控系统的建设对于风机的安全监控、提高风能利用率、提高风机工作效率、风电场的安全监控都十分重要。但这些系统应用环境恶劣,需要管理型宽温工业以太网交换机进行网络支持。     

Evaluation of the consistency of the three MRPV model parameters provided by the MISR level 2 land surface products: a case study in Mainland Spain

The multiangular Rahman–Pinty–Verstraete modified (MRPV) semi-empirical model uses three parameters (ρ₀, Θ, and k) for describing the anisotropy of an arbitrary target. They have been usefully proved to characterize some forest attributes and land covers. However, there is no enough evaluation of the consistency of this product, and the possible affection from different factors in the reliability of them. Here, we explored the consistency of the MRPV parameters provided in the MISR L2 Land Surface (MIL2ASLS) product, with data from Mainland Spain, grouping MISR images into close time pairs. Thus, it was studied the three MRPV parameters through retrieving Spearman’s rank correlation coefficient (ρ) and mean relative differences related to every pair of images. The results showed the ρ₀ parameter presented higher consistency than the others, with ρ over 0.85 and meant relative differences around 15%. The k parameter showed ρ over 0.65 and average relative disagreements over 8%. Finally, the Θ parameter reached ρ around 0.60. The Θ mean differences were over 25% unless the combination of the blue band which was especially bad and its values were up to 50%. So, it is crucial having into account when the parameters of this product are used to look into the band and the own parameter.     

基于RBF网络的粮食水分检测数据融合研究

为了提高测量的准确性和快捷性,需要融合处理多传感器检测的数据。本文首先介绍BRF网络的特性和训练方式,然后进行样本数据采集、样本数据归一化、神经网络的训练及其结构的确定,完成基于RBF网络的水分检测数据处理过程,实现粮食水分检测中的多传感数据融合。经过Matlab中的神经网络模型训练后,实验结果表明,拟合值始终在目标值上下波动,波动的范围在7%以内,该方法具有较大的优越性,可在其它工业领域中推广应用。     

野外目标BRF数据处理方法初探

通过对野外目标方向反射数据的处理可以获得其BRF特性,讨论了用数据优化、归一化、实时参数修正、绘图、比较等对野外目标BRF数据进行处理的初步方法,并用这些方法对1996年9月敦煌试验场的测量数据作了处理,分析和检验了处理结果。另外对BRF数据方法规范化也作了探讨。     

3G车载视频传输模块的设计与实现

由于车辆监控领域对于数据传输的要求越来越高,该文设计了3G车载视频传输模块,给出了系统的硬件和软件设计。硬件部分重点阐述了视频采集、3G传输等部分的设计。软件部分介绍了U6100模块的驱动设计,3G网络接入程序设计和视频传输程序设计。最后,通过对RTP数据包的分析和对客户端视频的观察,证明了本设计取得了很好的效果。     

基于仪器管理的视频监控终端的设计与实现

为满足学校等科研机构对仪器的视频监控和信息管理的需求,设计了一款基于NUC960和SPCT6100双核控制器的视频监控终端。详细分析了终端的硬件整体架构和软件设计方案。终端在监控仪器的同时可对仪器启停状态进行检测以及对用户信息进行管理,为仪器的数字化管理提供了一种可行的解决方案。     

蓝牙模块和OMAP5910的接口技术

研究一种嵌入式数字信号处理器（DSP）OMAP5910的蓝牙接口实现。整个系统以DSP为核心,采用TI公司的BRF6100蓝牙模块实现V1．1协议,进行无线信号收发;DSP配置音频AD／DA。实现音频信号采集和处理。该系统制造简单,集成度高,适用于各种家庭和个人无线设备。     

Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing

Disturbance of forest ecosystems, an important component of the terrestrial carbon cycle, has become a focus of research over recent years, as global warming is about to increase the frequency and severity of natural disturbance events. Remote sensing offers unique opportunities for detection of forest disturbance at multiple scales; however, spatially and temporally continuous mapping of non-stand replacing disturbance remains challenging. First, most high spatial resolution satellite sensors have relatively broad spectral ranges with bandwidths unsuitable for detection of subtle, stress induced, features in canopy reflectance. Second, directional and background reflectance effects, induced by the interactions between the sun-sensor geometry and the observed canopy surface, make up-scaling of empirically derived relationships between changes in spectral reflectance and vegetation conditions difficult. Using an automated tower based spectroradiometer, we analyse the interactions between canopy level reflectance and different stages of disturbance occurring in a mountain pine beetle infested lodgepole pine stand in northern interior British Columbia, Canada, during the 2007 growing season. Directional reflectance effects were modelled using a bidirectional reflectance distribution function (BRDF) acquired from high frequency multi-angular spectral observations. Key wavebands for observing changes in directionally corrected canopy spectra were identified using discriminant analysis and highly significant correlations between canopy reflectance and field measured disturbance levels were found for several broad and narrow waveband vegetation indices (for instance, r²_NDVI = 0.90; r²_CHL3 = 0.85; p < 0.05). Results indicate that multi-angular observations are useful for extraction of disturbance related changes in canopy reflectance, in particular the temporally and spectrally dense data detected changes in chlorophyll content well. This study will help guide and inform future efforts to map forest health conditions at landscape and over increasingly coarse scales.