Free-Edge and Ply Cracking Effect in Angle-Ply Laminated Composites Subjected to In-Plane Loads

This paper presents a semianalytical method for the prediction of interlaminar stresses and displacements near the free edges and ply cracks in general angle-ply laminates subjected to biaxial extensions and/or in plane shear deformation. The method is based on a state space representation of the three-dimensional equations of elasticity. Numerical solutions are obtained by using layer refinement in the through thickness direction and Fourier series expansion in the other directions. By this approach, an angle-ply laminate may be composed of an arbitrary number of monoclinic layers and each layer may have different material property and thickness. This method guarantees continuous fields of all interlaminar stresses across interfaces between material layers. Numerical results are compared with those obtained from other methods. It is found that the theory provides a satisfactory approximation to the stress singularities near the free edges and ply cracks. Numerical solutions for antisymmetric laminates under extension and general laminates under shearing are new in the literature and can be used as benchmarks for validating new models.     

Tight upper bound on the number of edges in a bipartite K3,3-free or K5-free graph with an application

We show that an n-vertex bipartite K_3,3-free graph with n?3 has at most 2n−4 edges and that an n-vertex bipartite K₅-free graph with n?5 has at most 3n−9 edges. These bounds are also tight. We then use the bound on the number of edges in a K_3,3-free graph to extend two known NC algorithms for planar graphs to K_3,3-free graphs.     

一种固定阈值的毫米波图像边缘检测方法

文章提出了一种固定阈值的毫米波图像边缘检测方法。根据图像的统计特征确定出像素的标准梯度强度，并采用单阈值对图像进行边缘粗定位，然后施行非最大抑制处理和滤波，得到最终检测结果。由于该算法对各幅毫米波图像设置相同的阈值，故能实现自动检测，同时还具有计算量小的特点。实验结果表明该方法进行毫米波图像边缘检测的有效性和可行性。     

数字图像边缘检测算子的性能实验比较

本文对数字图像中几种具有代表性的边缘检测算子进行了理论分析，并通过VC编程实验，对各种算法进行实现，通过比较得出了各自的优缺点和适用范围。     

LearningADD: Machine learning based acoustic defect detection in factory automation

Defect inspection of glass bottles in the beverage industrial is of significance to prevent unexpected losses caused by the damage of bottles during manufacturing and transporting. The commonly used manual methods suffer from inefficiency, excessive space consumption, and beverage wastes after filling. To replace the manual operations in the pre-filling detection with improved efficiency and reduced costs, this paper proposes a machine learning based Acoustic Defect Detection (LearningADD) system. Moreover, to realize scalable deployment on edge and cloud computing platforms, deployment strategies especially partitioning and allocation of functionalities need to be compared and optimized under realistic constraints such as latency, complexity, and capacity of the platforms. In particular, to distinguish the defects in glass bottles efficiently, the improved Hilbert-Huang transform (HHT) is employed to extend the extracted feature sets, and then Shuffled Frog Leaping Algorithm (SFLA) based feature selection is applied to optimize the feature sets. Five deployment strategies are quantitatively compared to optimize real-time performances based on the constraints measured from a real edge and cloud environment. The LearningADD algorithms are validated by the datasets from a real-life beverage factory, and the F-measure of the system reaches 98.48 %. The proposed deployment strategies are verified by experiments on private cloud platforms, which shows that the Distributed Heavy Edge deployment outperforms other strategies, benefited from the parallel computing and edge computing, where the Defect Detection Time for one bottle is less than 2.061 s in 99 % probability.     

基于MATLAB的数字图像人数统计

从视频截取的图象中统计人数,一直是图象处理领域的一个前沿课题,在交通监控、客流量统计、运动分析、虚拟现实等领域都有很高的实用价值。本文提出了一种应用MATLAB软件,基于人体轮廓特征的提取及填充的来统计人数的方法,首先对图像使用中值滤波去噪,然后用canny算子检测出了图像的轮廓,为了得到完整封闭的轮廓线,使用了形态学的方法进行膨胀运算,最后,用MATLAB实现了图像轮廓的填充,实验结果表明,该方法简单有效。     

基于小波变换的棉花异纤检测算法研究

研究棉花中异性纤维的检测问题,提高检测准确度。针对棉花异纤检测,当棉花中混有头发丝等与棉花纹理相似的线状异纤时,传统的单一尺度的边缘检测算法不能将线状异纤准确检测出来,造成检测准确度不高的问题。为解决上述问题,提出一种小波变换的棉花异纤检测方法,通过将棉花图像分割为多个连通区域,并对各区域进行多尺度小波变换,然后计算并设定每个区域的检测阈值,最后利用检测阈值完成异纤检测,可避免传统单一尺度的边缘检测方法不能准确识别线状异纤的问题。实验证明,改进方法能够准确地将线状异纤准确检测出来,具有很高的检测准确度,取得了满意的结果。     

基于边缘信息车流量检测方法的研究

针对边缘检测中阈值很难确定导致不能准确提取背景边缘信息的问题,提出一种改进的基于边缘信息车流量检测方法。该方法预先对路况边缘图像作削顶处理获取一个恰当的阈值,从而可以准确地提取背景边缘信息;且在车辆计数过程中,结合固定窗法和浮动窗法二者的优点,设计一种新的浮动窗法进行车辆计数。实验结果表明,该方法在实时性、检测速度、正确率等方面得到很大的改进,能够在不同环境下进行正确有效地车流量检测。     

Spline multiresolution and wavelet-like decompositions

Splines are useful tools to represent, modify and analyze curves and they play an important role in various practical applications. We present a multiresolution approach to spline curves with arbitrary knots that provides good feature detection and localization properties for non-equally distributed geometric data. In addition, we show how equidistributed data and knot sequences can be efficiently handled using signal processing techniques.     

标准椭圆形封头外表面曲边高度的计算程序

标准椭圆形封头外表面曲边高度的计算程序黄水龙（甘肃省石油化工设计院）关键词椭圆形封头曲边高度计算程序在计算椭圆形封头上接管长度或计算裙座筒体与椭圆形封头对接处的标高时，需要计算椭圆形封头的曲边高度，但椭圆形外表面曲线方程没有表达式，大多数人将椭圆形...