Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform

This paper proposes a novel automatic method for the moment segmentation and peak detection analysis of heart sound (HS) pattern, with special attention to the characteristics of the envelopes of HS and considering the properties of the Hilbert transform (HT). The moment segmentation and peak location are accomplished in two steps. First, by applying the Viola integral waveform method in the time domain, the envelope (E_T) of the HS signal is obtained with an emphasis on the first heart sound (S1) and the second heart sound (S2). Then, based on the characteristics of the E_T and the properties of the HT of the convex and concave functions, a novel method, the short-time modified Hilbert transform (STMHT), is proposed to automatically locate the moment segmentation and peak points for the HS by the zero crossing points of the STMHT. A fast algorithm for calculating the STMHT of E_T can be expressed by multiplying the E_T by an equivalent window (W_E). According to the range of heart beats and based on the numerical experiments and the important parameters of the STMHT, a moving window width of N = 1 s is validated for locating the moment segmentation and peak points for HS. The proposed moment segmentation and peak location procedure method is validated by sounds from Michigan HS database and sounds from clinical heart diseases, such as a ventricular septal defect (VSD), an aortic septal defect (ASD), Tetralogy of Fallot (TOF), rheumatic heart disease (RHD), and so on. As a result, for the sounds where S2 can be separated from S1, the average accuracies achieved for the peak of S1 (AP₁), the peak of S2 (AP₂), the moment segmentation points from S1 to S2 (AT₁₂) and the cardiac cycle (ACC) are 98.53%, 98.31% and 98.36% and 97.37%, respectively. For the sounds where S1 cannot be separated from S2, the average accuracies achieved for the peak of S1 and S2 (AP₁₂) and the cardiac cycle ACC are 100% and 96.69%.     

Underactuated miniature bending joint composed of serial pulleyless rolling joints

This paper proposes a miniature bending joint composed of serial rolling joints; it refers to the classification of small joints of other products and studies on surgical applications according to the structures and transmissions. To achieve this, a pulleyless rolling joint is introduced as a unit component and the basic design principle is established for the joint. A simple mechanism guarantees a smooth rolling contact using elastic fixtures. Underactuation, which prevents S-shaped curvature similar to buckling, is applied to drive the bending joint with a limited number of wire cables. Using a 1-DOF real-sized prototype, experiments were performed to measure the motion accuracy and payload capacity from various angles to evaluate the efficacy of an improved design that enhances the payload on the distal end. This novel joint is applicable to a wider variety of surgical tools and catheters relative to other candidates owing to its small constant curvature, reasonable payload capacity, and miniature size.     

半刚性钢-混凝土组合节点受弯承载力的计算

在半刚性钢 -混凝土组合框架中 ,混凝土板中的纵向钢筋增加了节点的强度和刚度 ,但是 ,传统的设计方法往往忽略纵向钢筋的作用而采用简化的计算模型。因此 ,出于经济效益考虑 ,应该根据半刚性组合节点的实际受力性能建立更加准确的计算方法。这里详细介绍了考虑混凝土板纵向钢筋作用的半刚性组合节点受弯承载力的计算方法 ,计算结果表明 ,建议的公式与试验结果吻合良好 ,可供规范制定和工程应用参考。     

基于不变矩的高分辨率遥感图像建筑物提取方法

为了有效地对图像进行特征提取, 利用不变矩算法对IKONOS和WorldView两种高分辨率遥感图像的城市建筑物地区进行提取。首先将图像数据经过Canny边缘检测和标记分水岭分割, 然后在此基础上分别利用胡氏不变矩和仿射不变矩对图像进行特征提取; 最后通过实验结果的评价可以证明在建筑物的特征提取上, 仿射不变矩比胡氏不变矩的提取效果更加显著, 进而也证明了利用不变矩算法对高分辨率遥感图像建筑物特征提取这一方法是可行且有效的。     

基于全局不变矩和分块主颜色的图像检索算法

为充分发挥全局不变矩对图像形状信息着重考虑的优势,规避颜色直方图未曾考虑图像的空间位置以及常见分块策略忽略分块间的相互联系等弊端,提出一种改进的全局不变矩和分块主颜色相结合的图像检索算法。计算图像的全局不变矩,提取图像各分块主颜色,将两者进行归一化处理后进行线性加权求和,计算综合相似度。实验结果表明,该算法具有较高的检索精度,能够提高检索性能。     

表面处理对氮化硅陶瓷力学性能的影响

采用X射线衍射应力分析的sin2ψ法计算了Si3N4陶瓷试样的残余应力，并分别测量了表面处理前后Si3N4试样的力学性能。结果表明，经平面磨削后的Si3N4试样表面残余应力为拉应力，而抛光处理可适当降低残余应力。两种方法都使试样抗弯强度降低。     

Zernike矩结合Sigmoid曲线拟合边缘检测方法

为了改进Zernike矩边缘检测方法对非直线边缘检测精度低的弱点,提出了一种改进的基于Zernike矩方法和Sigmoid拟合法的边缘检测方法。用Zernike矩边缘检测方法检测边缘,然后用Sigmoid拟合方法检测边缘,根据边缘类型对两种方法检测的边缘结果进行加权求和,所得结果为边缘位置。分别利用理想图像和实际工业CT图像进行了实验验证,实验结果表明对非直线边缘的检测,该方法检测精度相对于Zernike矩方法提高了一个数量级。     

基于材料非线性的海洋柔性立管防弯器有限元分析

建立海洋柔性立管防弯器三维有限元模型,研究聚氨酯材料非线性对防弯器弯曲性能的影响．通过算例对比不同材料属性的计算结果,发现不考虑材料非线性的计算结果与理论分析结果吻合较好．试验结果表明考虑防弯器材料非线性的立管最大曲率比不考虑材料非线性的小10％．因此,在防弯器详细分析时很有必要考虑材料非线性．     

Simulation of swirling combustion and NO formation using a USM turbulence-chemistry model

A unified second-order moment (USM) turbulence-chemistry model is used to simulate methane-air swirling combustion and NO formation for different swirl numbers. The simulation results are compared with those using the EBU-Arrhenius (E-A) combustion model, the simplified PDF model of NO formation in turbulent flows and the corresponding experimental results. The comparison indicates that the USM model is obviously better than the E-A model and the simplified PDF model. The E-A model cannot reasonably simulate the finite-rate kinetics, while the simplified PDF model, using a product of two single-variable PDF's instead of a joint PDF, remarkably under-predicts the NO reaction rate. The USM model gives the best agreement with the experimental results. Predictions show that as the swirl number increases the total NO formation at first decreases and then increases, which is in agreement with the experimental results.     

吸湿介质对碳纤维增强铸型尼龙复合材料的吸湿行为及力学性能的影响

本文对碳纤维增强铸型尼龙(CF／MC 尼龙)复合材料在不同吸湿介质中的吸湿行为进行了研究。结果表明，对于纤维体积分数为10％的碳纤维增强铸型尼龙复合材料(10％CF／MC尼龙复合材料)，随着吸湿介质的PH值减小，它的吸湿率增大。同时，经过吸湿后，10％CF／MC尼龙复合材料的弯曲强度有明显的下降。随着吸湿介质的PH值减小，试样的弯曲强度下降。使用环境扫描电子显微镜观察在10％HCl溶液中吸湿的试样的剪切断口形貌，得到的结果与吸湿实验的结果一致。