改进的Hough变换在多传感器数据融合中的应用

提出了用一种改进的Ｈｏｕｇｈ变换来解决多传感器数据融合的问题，与多传感器数据融合中常用的统计或几何方法相比，该方法具有计算速度快、存储要求小和容易实施等优点，简要分析了该方法和数据融合的几何方法之间内在的联系。     

集中交互式多传感器联合概率数据互联算法

为了解决杂波环境下多传感器多机动目标跟踪问题,本文提出了一种集中交互式多传感器联合概率数据互联算法。本文提出的算法首先应用广义S-D分配的规则对每个传感器送来的观测数据进行排列组合,并对所有的测量组合进行有效性判断,然后应用数据压缩的方法将每个有效量测组合压缩成一个等效量测点并根据每个等效量测点的联合似然函数计算其联合互联概率,最后在此基础上应用交互式多模型算法的思想以处理目标出现机动的问题。本文最后给出了该算法的分析,仿真结果表明,本文算法能够很好地解决杂波环境下多传感器多机动目标的跟踪问题。     

一种被动双阵航迹关联新方法

在被动系统中,多传感器多目标数据关联一直是一个难解决的问题.对静态数据关联多维指派"组合爆炸"问题,许多外学者提出了像最小距离法、最大似然算法等多种解决方法,但它们或正确相关率较低,或计算量较大.基于上述问题,提出了一种基于运动目标在时间上具有连续性的先验知识的新的航迹关联算法,该算法根据数据列之间发展态势的相似或相异程度来衡量航迹间接近的程度,使航迹关联问题突破了样本容量和典型分布这两条限制.仿真结果表明该算法计算量小,正确关联率高,具有较高的工程应用价值.     

一种被动双阵航迹关联新方法

在被动系统中。多传感器多目标数据关联一直是一个难解决的问题。对静态数据关联多维指派“组合爆炸”问题,许多外学者提出了像最小距离法、最大似然算法等多种解决方法,但它们或正确相关率较低,或计算量较大。基于上述问题,提出了一种基于运动目标在时间上具有连续性的先验知识的新的航迹关联算法,该算法根据数据列之间发展态势的相似或相异程度来衡量航迹间接近的程度,使航迹关联问题突破了样本容量和典型分布这两条限制。仿真结果表明该算法计算量小,正确关联率高,具有较高的工程应用价值。     

多传感器多目标粒子滤波算法

为了能够有效解决非线性、非高斯环境中多传感器多目标跟踪问题,提出了一种基于粒子滤波的多传感器联合概率数据互联粒子滤波算法(MJPDAP)。该算法应用广义S-D分配的规则对每个传感器送来的观测数据进行排列组合以形成等效量测点,并计算所有等效量测点的联合似然函数。在此基础上,结合联合概率数据互联(JPDA)的思想计算各个粒子权值,以获得最终的跟踪结果。仿真结果表明,与单传感器联合概率数据互联粒子滤波算法(SJPDAP)相比,该算法位置跟踪精度能提高20m左右。     

基于最大化信干噪比的广播信道干扰消除算法

研究了广播信道分布式干扰消除算法的性能,提出了一种基于动态功率分配的多天线广播干扰信道对齐算法.该算法利用多用户多天线干扰信道相关矩阵的迹来计算分配功率,并采用最大化码流信干噪比的方法来得到预编码矩阵和接收滤波器矩阵.数值仿真表明,该动态功率分配算法与等功率分配算法相比,尽管低负荷下干扰对齐后的平均信干噪比增益不明显,但中、高负荷下其干扰对齐后的平均信干噪比大幅提高,特别是高负荷下可以解决等功率方法存在的信干噪比瓶颈效应.由于低负荷的应用需求并不强烈,因而该算法是一种实用的广播信道干扰消除方法.     

基于证据理论的断路器机械故障诊断方法

研究了证据理论在高压断路器故障诊断中的应用。探讨了D-S证据理论的有效性问题,并在失效性情况下提供了一种证据理论的改进方法以解决D—S算法在实现过程中存在的证据冲突问题。通过仿真实验,对该方法的有效性进行了验证。     

基于ANSYS的同面多电极电容传感器仿真研究

同面多电极电容传感器是一种新的飞机复合材料构件损伤检测技术,该检测技术的正问题中敏感场分布函数的计算要涉及到静电场中电容计算问题。在仿真研究中,电容要通过场的数值计算方法来求得。本文介绍了如何使用ANSYS有限元分析计算同面多电极电容传感器中的各电极对之间的电容,对检测材料发生异常及传感器参数改变时电容的变化进行了分析,为损伤检测的特征提取和逆问题图像重构提供了仿真数据。     

爆破振动信号时频特征的三维分形特性研究

为进一步研究爆破振动信号能量特征,基于小波包变换方法对爆破振动信号时频能量特征进行分析。在二维矩形盒维数模型的基础上建立了计算三维曲面分形盒维数模型,并计算得到实测爆破振动信号时频能量谱的三维分形盒维数D3d=2.148 8。该分形维数满足空间分形条件2D3d3,验证了爆破振动信号时频能量谱具有三维分形特征。经研究三维分形曲面盒维数D3d与其剖面二维分形盒维数D2d之间的数值关系,表明计算空间分形曲面分维数的常规假设D3d=D2d+1并非严格成立。研究表明,所提出的长方体覆盖空间曲面的分形维数计算方法可行、有效,为进一步研究爆破振动信号特征、控制爆破地震效应提供了新的研究思路。     

Product data quality validation system for product development processes in high-tech industry

Among various product data, 3D CAD data plays a key role in current product design and manufacturing processes including industrial design, detail design, CAE, inspection, mould-making, production, and so on. If 3D CAD data has geometrical or topological errors by user mistakes or modelling software bugs and those errors are not cleaned by the data creator in an early stage, the data will be transferred to the downstream operators and they have to fix the errors before starting their own work. Because 3D data is quite complex, it is very difficult to recognise the data errors manually in a modelling system before a big problem is encountered which blocks the next operation. In this case, it generally causes time delay and high cost for data correction and the effect will be bigger when the process is close to the back-end. In this research, we develop a fully automated product data quality validation and management system to support the product development processes of high-tech products like televisions, camcorders, mobile telephones, home appliances, etc. The system automatically validates the 3D data in real time and gives 3D error reports to the creator to correct modelling failures in their steps. Also, project managers can check or control the data delivery based on the data quality for each step.     

Shadow Detection and Removal From Photo-Realistic Synthetic Urban Image Using Deep Learning

Recently, virtual reality technology that can interact with various data is used for urban design and analysis. Reality, one of the most important elements in virtual reality technology, means visual expression so that a person can experience threedimensional space like reality. To obtain this realism, real-world data are used in the various fields. For example, in order to increase the realism of 3D modeled building textures real aerial images are utilized in 3D modelling. However, the aerial image captured during the day can be shadowed by the sun and it can cause the distortion or deterioration of image. To resolve this problem, researches on detecting and removing shadows have been conducted, but the detecting and removing shadow is still considered as a challenging problem. In this paper, we propose a novel method for detecting and removing shadows using deep learning. For this work, we first a build a new dataset of photo-realistic synthetic urban data based on the virtual environment using 3D spatial information provided by VWORLD. For detecting and removing shadow from the dataset, firstly, the 1-channel shadow mask image is inferred from the 3-channel shadow image through the CNN. Then, to generate a shadow-free image, a 3-channel shadow image and a detected 1-channel shadow mask into the GAN is executed. From the experiments, we can prove that the proposed method outperforms the existing methods in detecting and removing shadow.     

基于顶点索引的三维建模与可视化方法研究

分析了影响三维建模与可视化效率的主要因素,设计了一种新的基于顶点索引的三维模型数据组织方式,相对于传统的3DS模型文件,该方法避免了大量冗余数据的处理,并能充分发挥图形显卡高效的数据传输特性,经验证:显著提高了模型绘制的效率,较好地解决了复杂模型高效三维可视化的问题。     

三维轻量化技术在装配制造数据管理中的应用

通过研究航空制造企业中装配生产的应用需求,讨论了三维轻量化技术在装配制造数据管理中的应用.在针对企业装配生产的通用性问题上提出了一种基于三维轻量化技术的数据集成管理模式,并在此模式下进行了相关的业务和数据建模.该模式在流程上覆盖了装配制造数据管理的业务,在应用层面上完成了航空制造装配生产数据完整性、一致性和配置性的管理,并最终实现于相关制造执行系统(MM-MES)平台.通过在航空航天制造企业的有效应用,验证了其可行性.     

Utilizing wind direction and wind speed as independent variables in multilinear receptor modeling studies

The problem of identifying sources of airborne pollutants and providing quantitative estimates of the contributions of each of those sources is important for airborne particulate matter. Various forms of factor analysis have been applied to this problem. However, in factor analysis, there is the fundamental problem of rotational ambiguity that makes the problem ill-posed. Thus, the incorporation of additional information can be useful in improving the solutions. Especially for identifying local sources, wind data (direction and speed) could be valuable additional information in such receptor modeling. However, wind data cannot be used directly as dependent variables in factor analytic modeling because the dependence of observed concentrations on wind variables is far from linear. An expanded multilinear model has been developed in which the wind direction, speed and other variables are included as independent variables. For each source, the analysis computes a directional profile that indicates how much of the concentrations are explained by the factors depending on wind direction, speed, and other values. This model has been tested using simulated data developed by the U.S. Environmental Protection Agency as part of a workshop to test advanced factor analysis methods. For most of the local sources, well-defined directional profiles were obtained.     

风扇试验台数据采集与处理系统

该系统为分布式测试系统,由二台前端数据采集与予处理机和一台中心数据处理机构成。具有低速、高速两种数据采集能力。每台前端机具有三十二路模拟信号来集、予处理、远程显示和数据通信功能,数据处理机主要完成前端机的初始化、数据通信、测试数据的实时处理和事后处理等任务。高速采集由高速A/D转换器实现,本系统可实现40kW/s的高速采集与测试数据的连续存盘。     

Inverse scattering problems of near-field subsurface pulse diagnostics

Methods of near-field subsurface electromagnetic diagnostics that provides a subpulse-length resolution are developed and studied in experiments with the pulse microwave source-receiver scanning system. Proposed tomography and holography of subsurface dielectric targets are based on the solution of 3D near-field inverse scattering problems by 2D measurements of the scattered pulse signal above the surface of media with dielectric inhomogeneities. Pulse data are transformed to frequency domain, where, using the Green function formalism, the non-linear 3D integral equation has been obtained to solve this inverse scattering problem. The solution of this equation is used to derive tomograms of distributed inhomogeneities or to determine the shape of solid targets for further visualization as holography images. To retrieve depth profiles of one-dimensional subsurface inhomogeneities of sand density, the dual regularization method has been worked out and tested by experimental data.     

基于面元素重排的三维网格模型数据隐藏算法

目的 为了解决目前三维数据隐藏算法不能兼顾无失真和盲提取的问题，提出一种新的完全无失真的三维网格模型数据隐藏盲算法。方法 首先使用混沌逻辑映射选择嵌入与提取模式，保证数据的安全性。然后利用面元素重排，完全不会造成三维模型失真的性质，通过不同嵌入模式规则对三角面元素进行重排，以嵌入秘密数据。接收端则可根据相应的提取模式规则提取秘密数据。结果 仿真结果与分析表明，该算法不会对三维模型造成任何失真，嵌入容量为每顶点2比特，且能抵抗仿射变换攻击、噪声攻击和平滑攻击等。结论 这种三维数据隐藏盲算法无失真，容量大、安全性高、鲁棒性强，适用于三维载体不容修改的情形，如军事、医学、秘密通信和版权保护等。     

SMK-means: An Improved Mini Batch <i>K</i>-means Algorithm Based on Mapreduce with Big Data

In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also come along with it. Therefore, more research work has been devoted to the problem of outlier detection in big data. However, the existing available methods have high computation time, the improved algorithm of outlier detection is presented, which has higher performance to detect outlier. In this paper, an improved algorithm is proposed. The SMK-means is a fusion algorithm which is achieved by Mini Batch K-means based on simulated annealing algorithm for anomalous detection of massive household electricity data, which can give the number of clusters and reduce the number of iterations and improve the accuracy of clustering. In this paper, several experiments are performed to compare and analyze multiple performances of the algorithm. Through analysis, we know that the proposed algorithm is superior to the existing algorithms     

Supercritical fluid chromatography reduction of hydrogen/deuterium back exchange in solution-phase hydrogen/deuterium exchange with mass spectrometric analysis

The single biggest problem with solution-phase H/D exchange as a mass spectrometric probe of surface exposure in a protein (or protein complex) is back-exchange of H for D after the initial H/D exchange has been quenched. Back-exchange results in loss of pertinent data and also greatly hampers data analysis. Previously, very fast, cold (0-4 degrees C) HPLC was performed to help reduce back-exchange, but calculated back-exchange still averages approximately 30%. In this report, supercritical fluid chromatography replaces HPLC as the desalting/separation technique prior to mass analysis, providing a dramatic reduction in back-exchange compared to the fast, cold HPLC methods.