卷积神经网络用于关节角度识别与姿势评估

为了快速准确地输出各种工作姿势风险评估结果，提出采用Kinect v2与卷积神经网络识别人体各关节角度，并输出标准姿势风险的评估得分。首先使用亚像素角点提取的棋盘标定算法标定Kinect两个摄像头，其次使用改进后的双边滤波对深度图像去噪，使用卷积神经网络识别人体关节二维位置，结合深度信息获取实际三维坐标并计算人体关节角度，最后输出姿势风险评估得分。通过两种实验分别验证了提出的Kinect角度识别与姿势评估的准确性，表明该方法关节角度识别与姿势风险评估的准确率均较高，是一种低成本、高可靠性的姿势评价方法，具有一定的科学意义和工程应用价值。     

Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

Enhancing nugget size and weldable current range of ultra-high-strength steel using multi-pulse resistance spot welding

ABSTRACT

This paper presents an innovative approach that uses a pulse-profile to improve the welding quality of CP1180 steel in resistance spot welding process. Three pulses with two cooling times were used in the developed multi-pulse welding (MPW) schedule. The experimental results show that the first pulse increases the contact area between the sheets to improve the current flow pattern. The second pulse was designed to extend the sheet-to-sheet contact area and corona bond for preventing rapid nugget growth. Using these designs, the nugget size was maximised through the third pulse. The maximum nugget size using the designed MPW schedule was 18.5% greater than that of the single-pulse welding schedule and the weldable current range was extended by 130%.     

铁路反恐视频监控系统方案探究

本文通过分析反恐视频监控的需求，研究了普通红外线摄像机和激光摄像机的性能、铁路通信传输网通道容量和视频占用的资源量，推荐反恐视频监控方案采用数字激光摄像机。     

Using the theory of inventive problem solving to brainstorm innovative ideas for assessing varieties of phone-cameras

Today, to survive in an extremely turbulent business environment, traditional products characterized by limited capabilities cannot satisfy diverse customer requirements. In particular, it is observed that the boundaries between smart phones, digital cameras, and tablets are becoming more and more blurred than before. Therefore, for attracting the ad-hoc segments, global companies began to develop hybrid pad-phones and phone-cameras. Unfortunately, some of these products are facing poor sales without incurring much market attention. In order to overcome the aforementioned difficulty, this paper presents a novel framework to reduce the gaps between producer expectation and user perception. By means of the TRIZ (the theory of inventive problem solving), a contradiction matrix is applied to handle engineering conflicts among multi-functional alternatives to seek inventive solutions. Then, ARM (association rule mining) is conducted to identify critical features that formulate customer dissatisfaction (purchase intention). Finally, CA (conjoint analysis) is employed to derive customer utilities for benchmarking varieties of design concepts. In summary, the proposed framework cannot only help product planners efficiently generate innovative ideas, but also effectively justify the validity of design concepts.     

基于摄影测量的飞机阻力伞运动参数测量技术

针对某型阻力伞性能鉴定试飞科目要求，需要精确测量阻力伞在稳定工作时的垂直、水平摆角，从而为该产品的技术鉴定提供依据。本文根据加装在飞机机背中段的高速摄像机，获取阻力伞的运动影像，通过图像分析处理识别特征点的亚象素坐标，采用摄影测量的解算算法，推导出数学解算模型，实现了阻力伞运动参数的最优解算。结合真实飞行试验对测量结果进行了分析，数据结论准确。     

爆破作用下预制共线裂纹的扩展机理研究

为了研究爆破作用下裂纹的扩展规律,从而进一步指导裂隙发育岩体爆破设计。试验运用深部岩石三轴动静载荷实验系统对含有预制裂纹的混凝土试件逐一加载,得到混凝土试件抗压强度;并采用高速摄像机对试件中裂纹起裂拓展过程进行全程拍摄,与加载曲线对照,得到裂纹起裂时垂向初始压力。研究表明:在一定范围内,试件所受围压越大,其裂纹起裂时所需压力越大;次裂纹的存在会使得主裂纹端部更容易在外力作用下起裂,且主裂纹内侧端部所受影响要大于外侧端部,这种影响程度的大小与次裂纹长度、裂纹间距等因素有关;围压越小、裂纹夹角越大、次裂纹长度越大、裂纹间距越小,主裂纹端部越容易起裂。     

成像技术在纺织品颜色测量中的应用进展

快速、准确、高效的纺织品颜色测量方法一直是纺织领域的研究热点,成像技术在纺织品颜色测量中的应用有较好的研究前景。为此,介绍了光电积分法和分光光度法的特点及其用于纺织品颜色测量存在的局限性。阐述了成像技术中数码摄像法、多光谱成像法、高光谱成像法的成像特点,分析了相机颜色特征化、光谱重建算法、图像分割法等对纺织品颜色测量的影响,并对不同成像技术在纺织品颜色测量应用中的研究现状进行总结。最后从纺织品颜色特点、纺织品颜色测量要求以及高光谱成像技术的优点等角度,展望了高光谱成像技术用于未来纺织品颜色测量的发展方向。     

基于RobotStudio的芯片智能分拣生产线设计

为了缩短芯片智能分拣生产线开发周期,利用虚拟仿真技术在RobotStudio软件中搭建仿真工作站;该工作站以ABB IRB360并联工业机器人为控制核心,利用Solidworks建模软件完成相关模型建立,利用RobotStudio软件的Smart组件、机械装置等功能实现芯片下料、芯片传输、相机检测等过程,设计工业机器人的路径和程序完成分拣工作;最后将仿真工作站的代码直接下载至现场工业机器人,并根据仿真节拍调节现场各模块工作速度,实现芯片的智能分拣;实验结果表明,工业机器人能够根据相机的引导正确且高效地分拣芯片.     

Messtechnische Herausforderungen bei der Analyse von hochdynamischen Aufprallbeanspruchungen

Metrological challenges analyzing high dynamic impact on reinforced slabs The comprehension of high dynamic impact processes on reinforced concrete structures is of essential importance for the dimensioning of structures regarding exceptional loading scenarios like airplane impacts. Since, for high strain rates in comparison with quasi‐static conditions an altered material behavior appears, an adequate methodology and application of appropriate measurement is required to assess the structural behavior of building components. The present paper describes the metrological methodology and the challenges of the experimental investigations of reinforced concrete slabs under impact with loading periods of only a few μs or ms. The determination of time history curves of impact velocities, bearing forces, displacements and the determination of sound wave velocities inside the structure requires an appropriate high sampling rate with the signal recording. The results lately lead to a holistic assessment of the structural behavior and the damage phenomena of such processes.