Method of moving target detection based on sub-image cancellation for single-antenna airborne synthetic aperture radar

The method of moving target detection based on subimage cancellation for single-antenna airborne SAR is presented.First the subimage is obtained through frequency processing is pointed out.The imaging difference of a stationary objects and moving object in the subimage based on the frequency division is analyzed from the fundamental principle.Then the developed method combines the shear averaging algorithm to focus on the moving target in the subimage,after the clutter suppression and the focusing position in each subimage is obtained.Next the observation model and the relative movement of the moving targets between the subimages estimate the moving targets.The theoretical analysis and simulation results demonstrate that the method is effective and can not only detect the moving targets,but also estimate their motion parameters precisely.     

企业文化基因及其识别实证研究

企业文化评价与识别研究是管理学科的热点和难点问题.在回顾企业DNA研究应用的基础上,提出并界定了企业文化基因概念,对企业文化基因识别进行了实证研究.     

非连续回转面径向跳动误差非接触检测技术研究

结合激光技术与现代电子技术,提出一种能够实现非连续回转面径向跳动误差检测的非接触检测方法。     

基于 Hopfield 神经网络的谐波电流检测方法

在对各种谐波电流检测方法进行简单比较的基础上,提出了一种基于Hopfield神经网络(HNN)的谐波电流检测方法.该方法将HNN优化理论用于电力系统的谐波检测,自适应地准确检测出电网基波和各次谐波分量的幅值和相角.采样数据处理速度快,实时性好,网络不需要预先进行训练.仿真结果表明,该方法具有很好的实时性、较高的检测精度以及自适应跟踪负载电流变化的能力.     

Analog Circuit Testability for Fault Diagnosis

In every field of engineering, testing is a fundamental step for the validation of design, being the most direct way to verify that a product meets its specifications. If the desired performance is not achieved, testing should identify all the causes of malfunctioning and indicate suitable corrective actions. Different algorithms relying on the symbolic approach have been presented in the past by the authors and in this work noteworthy improvements on these algorithms are proposed. However, how the testability is designed to maintain devices during its lifetime is discussed lack at present. Furthermore, this problem concerns needing more times on testing and fault diagnosis, and wasting more manpower and material resources. Especially in the army devices field, it is very important that maintenance and indemnificatory are advanced. In this paper, the parameters in testability design for fault detection and diagnosis will be given. The detailed contents of testability will be proposed, including the dividing of circuit module in equipment, technology material needed for detection and requirement of specifications used for testing.     

基于视频图像的人脸定位方法

给出了一种视频图像中的人脸定位方法,该方法首先通过一种平均帧差的方法检测人体运动区域;然后根据人脸分布的特点,采用水平投影的方法在运动区域里分离人脸和身体;最后根据人脸器官的分布规律,利用k-means的聚类算法对人眼进行定位.实验表明,该方法简单、高效,而且不依赖于人脸肤色,在一定范围内能很好地适应光照变化,能满足实时系统的要求.     

基于背景重建的序列图像车辆目标检测方法

针对静态摄像条件下视频序列图像,提出一种基于背景重建的序列图像车辆目标检测方法.该法先选取一帧图像存入背景缓冲区,然后根据当前帧图像与前一帧图像、背景图像的差分信息对背景缓冲区的背景进行更新.通过运动区域检测、噪声去除、连通单元标记、目标提取、阴影检测等处理,能获取完整的车辆目标区域.实验结果表明,该方法快速、准确,具有较好的实用价值.     

图像分辨率对天然纤维识别的影响

针对低分辨率图像的保真问题,提出基于轮廓曲线的邻域方向差分链码,进行曲线失真程度的分析.该方法将基于像素坐标的二维轮廓曲线转化成相对于曲线走向而变化角度函数.差分链码具有平移、拉伸和旋转不变性.根据差分链码提出分别针对于对象轮廓周长、轮廓包围面积和轮廓曲线相似性的误差统计模型,并将该模型应用于棉麻等纤维截面的显微图像在不同分辨率下外形的失真度分析,给出在图像采集时允许的最低图像分辨率的计算.     

试验检测是提高公路工程质量的关键

分析了加强公路工程试验检测工作的必要性和重要性,指出了提高公路工程质量试验检测的措施。     

基于SOM的入侵检测算法的特征选择

针对基于单层SOM神经网络的入侵检测系统计算量大、误报率高的问题,利用SOM网络中相似模式激活神经元的物理位置邻近的特点,根据输入模式的类型,对激活的神经元进行划分,并把记录的基本特征和推导特征结合起来,对记录进行分类.研究结果表明,较小的特征子集能使系统更快地对数据进行分类,与传统的利用单层SOM神经网络方法相比,该方法计算量小、误报率低.