基于智能手机和Matlab的居家悬滴法表面张力测量实验

本文基于智能手机和Matlab软件设计了一种居家环境下可实现的悬滴法水滴表面张力测量实验.借助智能手机拍照功能获得水滴图像,利用Matlab进行边缘检测及计算,从而得出表面张力系数.对于不同清晰度的情况提出了对应的分析和处理方法,实验结果表明该方法稳定可靠.为后疫情时代开展居家大学物理实验教学提供了一个典型案例.     

方位远探测声波测井仪数据采集控制软件设计*

方位远探测声波测井技术在近年来得到了快速发展,数据采集控制软件是测井仪器系统的重要功能模块,其主要功能是完成地面采集控制平台与井下仪器的实时命令控制与数据传输。方位远探测声波测井仪数据采集控制软件模块以仪器库的形式挂接到成像测井系统,软件主要由仪器初始化、数据采集、数据分析及处理、仪器参数设置、下发命令封装、文件操作、实时波形绘图显示、实时波形处理、数据回放、帮助系统等部分组成。在程序设计中采用了多线程编程技术,提高与测井主控平台进行交互的时效性以及程序的响应速度。实验室及现场测试表明,方位远探测声波测井仪数据采集控制软件的总体及各个功能模块运行稳定,能够完成现场应用过程中对仪器的控制、数据读取、数据分析及处理、文件记录以及与现场测井采集控制平台的数据接口等需求,为仪器的进一步功能优化升级和现场应用提供了基础。     

A real-time monitoring approach for bivariate event data

Early detection of changes in the frequency of events is an important task in many fields, such as disease surveillance, monitoring of high-quality processes, reliability monitoring, and public health. This article focuses on detecting changes in multivariate event data by monitoring the time-between-events (TBE). Existing multivariate TBE charts are limited because they only signal after an event occurred for each of the individual processes. This results in delays (i.e., long time-to-signal), especially when we are interested in detecting a change in one or a few processes with different rates. We propose a bivariate TBE chart, which can signal in real-time. We derive analytical expressions for the control limits and average time-to-signal performance, conduct a performance evaluation and compare our chart to an existing method. Our findings showed that our method is an effective approach for monitoring bivariate TBE data and has better detection ability than the existing method under transient shifts and is more generally applicable. A significant benefit of our method is that it signals in real-time and that the control limits are based on analytical expressions. The proposed method is implemented on two real-life datasets from reliability and health surveillance.     

Robustness quantification method for network intrusion detection models

Deep learning techniques have been successfully applied to network intrusion detection tasks, but as in the case of autonomous driving and face recognition, the reliability of the system itself has become a pressing issue. Robustness is a key attribute to determine whether a deep learning system is secure and reliable, and we also choose to explore the security of intrusion detection models from a new perspective of robustness quantification. In this paper, we focus on the intrusion detection model based on long and short-term memory, and use a fine-grained linear approximation method to derive a more accurate robustness bound on the nonlinear activation function with tighter linear constraints. We can use this bound to quantitatively measure the robustness of the detection model and determine whether the model is susceptible to the influence of adversarial samples. In our experiments, we test networks with various structures on the MNIST dataset, and the results show that our proposed method can effectively deduce the robustness bounds of output elements, and has good scalability and applicability.     

基于自适应BP神经网络的结构损伤检测

描述基于人工神经网络的结构损伤检测的基本步骤以及该方法在实际5层钢框架结构损伤检测上的应用．提出了一种改进的BP神经网络方法，它能够解决传统BP神经网络在实际应用中存在的两个问题：收敛速度慢并存在局部极小．其基本思想是引入动态自适应算子加速传统BP算法的梯度下降速度，从而提高运算速度，通过自调节保证学习过程中每一时刻具有较大的sigmoid函数值，从而可以避免局部极小．数值仿真结果表明基于该自适应神经网络的结构损伤检测方法具有强的鲁棒性，而且与传统的BP神经网络相比，不仅提高了计算速度，并且具有很高的精度．最后，实例的应用也证明了该方法的有效性．     

平板湍流边界层底层的不稳定波

湍流边界层底层的相干结构及猝发现象对决定边界层的特性有很重要的意义,但直至现在对相干结构的性质及起因仍不清楚。在本文中,对湍流边界层的底层进行了非线性稳定性分析,发现该处确可产生不稳定波,可能用以说明相干结构的起因。     

结构误差造成的半球谐振陀螺闭环检测误差分析

半球谐振陀螺是一种具有广阔应用前景的高精度陀螺。由于制造工艺和装配过程中的因素，其结构难免会出现误差。根据闭环检测机理，推导出结构误差的数学表达式，分析了它对测量结果的影响，这对于编制软件算法以补偿结构误差具有一定的指导意义。     

建筑结构动力特性动点脉动测试

介绍用无人工激励动点测试（动点脉动测试）方法确定建筑物的自振频率，振型和阻尼。使用这一方法对南京电视塔、多层基础隔振房屋及水塔等进行了动力性能测试，获得了满意的结果。     

空间网格结构损伤探测的研究进展

空间网格结构损伤探测技术是目前结构工程领域研究的热点和难点．根据国内外的最新文献信息，讨论了损伤探测技术在空间网格结构中的应用及最新的研究进展，对现有文献中的方法进行了分类和评述．重点介绍了目前比较适用的柔度法和模型修正方法，对该领域中尚存在的问题进行了讨论，对今后的发展方向及趋势进行了展望．     

应力波的激光产生和检测

应力波的激光产生和检测，是一个受到各领域专家关注的、在无损检测和应用力学等方面有着极大应用潜力和研究兴趣的新兴领域。针对其力学方面、实验技术和应用前景等，本文对有关原理、方法、技术和实用进行了简要的归纳与总结。