基于飞行载荷的大数据实测方法研究

飞行载荷实测是全面、定量评定飞机结构强度的必要环节,在飞行试验中起着至关重要的作用。传统的有人机、小型机载荷标定需要评测的参数仅需要数十个或几十个关键参数,实时采集系统通道量较小,实时监控系统服务器压力较小。随着航空工业的飞速发展,大型机、无人机等需要评定的参数量急速上升到数百个,而采集通道成为瓶颈,传统的测量方法难以满足需求。针对飞行载荷实测的海量参数难以测试问题,文章提出了一种通道复用的方案,良好的解决了海量数据难以实时测量问题。经验证,该方案可良好的运用在各种型号的飞行载荷海量数据实测中。     

小型轻便式流速仪检定系统设计

为满足FP系列流速仪的计量检定需求,提出了一种小型便携式流速仪检定系统的设计方案。根据匀速运动时间等约束条件确定了环形水槽的几何参数。采用FPGA和上位机作为数据处理和控制核心,实现了对伺服电机转速的精确控制。设计了光电编码器和无线摄像机与上位机之间的通信方式,实现了检定装置标准流速值和被检仪器示值的数据读取。对测试数据的处理方法和测控软件的结构框架进行了分析。同时,对实验装置的测量误差进行了分析。结果表明,标准流速值的扩展不确定度为1.28×10-3m/s,检定装置符合量值传递要求,可作为FP系列流速仪计量检定的标准装置。     

Bayesian wavelet-based analysis of functional magnetic resonance time series

Wavelet methods for image regularization offer a data-driven alternative to Gaussian smoothing in functional magnetic resonance (fMRI) analysis. Their impact has been limited by the difficulties in integrating regularization in the wavelet domain and inference in the image domain, precluding the probabilistic decision on which areas are activated by a task. Here we present an integrated framework for Bayesian estimation and regularization in wavelet space that allows the usual voxelwise hypothesis testing. This framework is flexible, being an adaptation to fMRI time series of a more general wavelet-based functional mixed-effect model. Through testing on a combination of simulated and real fMRI data, we show evidence of improved signal recovery, without compromising test accuracy in image space.     

自制四端低值电阻的标定

用直接或间接测量法,标定自制四端低值电阻。将测量数据用加权平均法给出测量结果。     

O2分子激发态a1Δg和b1Σ+g态的分析势能函数

以aug-cc-pVQZ,cc-pV5Z,6-311++g（d,p）和6-311++g（3df,3pd）等为基函数,采用多组态相互作用（MRCI）方法对O₂分子最低的两个激发态¹Δ_g和¹Σ⁺_g的平衡结构、谐振频率和势能曲线进行了计算.并选用Murrell-Sorbie势能函数对曲线进行拟合,利用拟合的参数值计算出了力常数和光谱数据.结果表明计算值与实验值符合较好. 关键词： MRCI 势能函数 力常数 光谱数据     

Bayesian fusion of GNSS,ITS-G5 and IR–UWB data for robust cooperative vehicular localization

In the automotive domain, Cooperative Localization (CLoc) is a new promising paradigm that aims at outperforming conventional Global Navigation Satellite Systems (GNSS) in terms of positioning accuracy, robustness, and service continuity, by relying on Vehicle-to-Vehicle (V2V) communications and hybrid data fusion. However, the growing number and the variety of the sensors aboard vehicles raise unprecedented challenges, especially in the context of distributed fusion approaches. This paper thus compares parametric and nonparametric Bayesian data fusion engines (e.g., based on cooperative variants of the Extended Kalman Filter (EKF) and Particle Filter (PF), respectively), while validating a CLoc scheme suitable to Vehicular Ad Hoc Networks (VANETs). More particularly, absolute position information from both onboard GNSS receiver and ITS-G5 V2V messages, as well as relative distance measurements based on the Impulse Radio–Ultra-Wideband (IR–UWB) technology, are combined into a single location solution that is hopefully more robust and more accurate than that of standalone GNSS. First, we investigate V2V ranging accuracy on a highway under real mobility conditions. In the same environment, we then provide offline validations of CLoc positioning, confirming significant performance gains through cooperation over conventional GNSS, even in case of poor initialization. In this specific context, the PF solution is thus shown to yield even better accuracy in comparison with EKF, thanks to its fine robustness against faced non-linear dynamics and non-Gaussian noise processes. Finally, we illustrate the resilience of the proposed solution under temporary GNSS denial.     

A novel image tamper localization and recovery algorithm based on watermarking technology

In this paper, an effective self-embedding fragile watermarking scheme is presented. The watermark is generated by encoding the DCT coefficients of each 2 × 2 block and embedded into another block according to the block mapping. A non-linear chaotic sequence is used for generating the block mapping which can enhance the security of the algorithm. An improved tamper localization and recovery algorithm are performed. The experiment results show that the watermarked image has a high average peak signal-to-noise ratio. Furthermore, the tamper region can be successfully localized and exactly recovered, even if for the content-only tampering.     

Empirical dead‐time corrections for synchrotron sources

An experimental comparison of models for performing dead‐time corrections of photon‐counting detectors at synchrotron sources is presented. The performance of several detectors in the three operating modes of the Advanced Photon Source is systematically compared, with particular emphasis on asymmetric fill patterns. Several simple and well known correction formulas are evaluated. The results demonstrate the critical importance of detector speed and synchrotron fill pattern in selecting the proper dead‐time correction.     

基于正弦光栅调制的相位恢复

提出一种基于正弦光栅调制的相位恢复方法.首先,在空间光调制器上加载两个不同方向的正弦光栅对光场复振幅进行调制;然后,推导强度信息和相位偏导数之间的关系式;最后由强度信息计算相位偏导数,进而恢复相位.实验分别测试了该方法对简单图像、复杂图像以及含噪声图像的恢复能力.实验结果表明,该方法可以通过方便地控制图像移动量来有效恢复相位信息,适用于不同尺度的相位物体的计算.     

一种新型的RS-422总线数据处理算法研究与实现

为了满足某型机试飞数据中新型RS-422总线参数的实时监控和事后数据处理需求,提出了针对该新型RS-422总线参数的算法设计和实现方案。通过分析该新型RS-422总线参数的通信协议及数据包格式,决定采用调整机载格栅中数据的帧结构排放以及重置带头中参数采样率的方式,实现了参数的解析及还原算法,并设计了相应的实时监控以及事后处理软件。该软件已经成功应用于该型机的飞行试验中,为飞机飞行安全监控以及事后数据处理分析提供了有力保障。