采用仿射变换的桨叶变形摄像测量Newton-Raphson算法

提出一种基于仿射变换的(Newton-Raphson,简称N-R)数字图像相关算法.首先,采用人机交互的方法在变形前后的图像中选取匹配特征点,计算仿射变换参数;然后,根据仿射变换位移模式计算目标子区中心点的位移,将其用作N-R算法的初值.为降低计算量,采用全场插值,插值运算次数降为常规插值的1％左右.仿真测试表明,基于仿射变换的N-R算法在精度保持不变的情况下显著减少计算时间,克服了常规N-R算法计算量大、效率低、只适用于无刚体转动目标等缺陷,为开发直升机桨叶变形摄像测量系统提供了算法基础.     

基于角点检测的图像匹配算法

针对红外图像与可见光图像之间特征点匹配难的问题,提出一种新的基于角点检测的图像匹配算法.首先基于曲率尺度空间检测图像在不同尺度下的角点,利用泰勒级数剔除伪角点以明确特征点的位置与数量;其次在构建特征点梯度向量时为避免红外与可见光图像梯度的翻转,对特征点邻域部分梯度方向进行角度限制修正并对梯度方向采用就近投影,进而统计梯度方向直方图以确定特征点的主方向,并构造一个64维的特征点描述子进行归一化处理;最后利用极线约束原则减少搜索范围,设计双向匹配方法实现特征点匹配.实验表明该算法能够有效进行红外与可见光图像的匹配,在旋转、噪声干扰、尺度缩放、亮度变化的情况下具有较好的匹配效果.     

真空镀膜领域射频叠加直流偏压技术研究

针对射频辉光放电过程中射频电源与直流偏压电源的叠加问题,通过分析阻抗匹配网络和高频屏蔽网络的工作原理,利用阻抗匹配网络将射频电源的高频能量最大效率的输出到真空室,利用高频屏蔽网络将射频电源的高频能量进行屏蔽的同时将直流偏压电源的低频能量最大效率的输出到真空室.对射频辉光放电过程中射频电源、直流偏压电源以及真空室模型进行了系统的电路仿真,实现了射频电源与直流偏压电源的叠加,利用自制的射频电源与直流偏压电源系统进行了真空镀膜实验,证实了双电源系统的可行性.研究结果表明,利用阻抗匹配网络和高频屏蔽网络能够很好地将射频电源与直流偏压电源进行叠加,由双电源系统产生的带有负偏压的高频能量能够对真空镀膜工艺产生影响,有助于探索新的镀膜工艺.     

Application of signal sparse decomposition in dynamic test

In dynamic test,sampling rate is high and noise is strong,so a signal sparse decomposition method based on Gabor dictionary is put forward.This method iteratively decomposes the signal with the matching pursuit （MP） algorithm and takes the coherence ratio of the threshold as a condition of iteration termination.Standard MP algorithm is time-consuming,thus an adaptive genetic algorithm is introduced to MP method,which makes computation speed accelerate effectively.Experimental results indicate that this method not only can effectively remove high-frequency noise but also can compress the signal greatly.     

中小企业云制造服务平台的研究与开发

为提高中小企业的综合竞争能力,基于云制造服务模式和思想开发了一种面向中小企业的云制造服务平台.采用多家企业、多个订单、多方协作的服务交易方式,设计了云制造服务平台的工作流程和核心功能.对供需智能匹配引擎、交易协同逻辑引擎和信用评估引擎等关键问题进行了研究,实现了基于关键字的语义智能搜索、订单跟踪、交易任务引导以及全流程的协同化管理.在汽摩零部件制造行业进行了验证性应用,通过线上服务和线下服务有效整合了该行业的制造服务资源,实现了云制造服务的有效管理.     

全液压驱动底盘行驶驱动系统匹配及控制研究

针对工程车辆的工作特点,采用静液压传动技术,研究适用于工程车辆的专用底盘,能根据路面情况选择驱动形式.在分析动力学模型的基础上,建立了车轮所需要的特性场,并对液压系统中的参数进行了匹配研究.利用静液压传动可精确控制的优点,使工程车辆具有精确的可操作性,全轮驱动提高了整车的驱动能力.     

Matching ratio between positive and negative electrodes for double-layer capacitors

For double-layer capacitors in alkaline electrolyte, the specific capacitance of the positive electrode is not equal to that of the negative one. Thus, capacitor performance cannot be optimal with a positive/negative electrode matching ratio of 1. In this study nanoporous glassy carbons (NPGCs) were employed as the electrodes of capacitors, and the influence of matching ratio between positive and negative electrode on capacitor performance was systematically investigated. In aqueous KOH, the specific capacitance of the positive electrode is lower than that of the negative electrode. The matching ratio at which a maximum capacitance is obtained is dependent on the values of the positive and negative electrode capacitance. At low current rate, the highest specific capacitance is achieved at a matching ratio slightly higher than 1. At high current rate, a capacitor has the highest specific capacitance with the lowest resistance at a matching ratio of 1.5. This indicates that an optimum matching relationship between positive and negative electrodes is attained.     

焊接结构材料与焊接材料的匹配

采用微合金化提高材料的综合机械性能和焊接性能是焊接钢结构材料发展的方向;采用低C、低SP和微合金化是改善强韧性匹配和提高焊接性能的重要途径。大量掺合金可制成各种焊丝、焊荆和焊条,啄满足不同需要。     

A novel grating matching method for 3D reconstruction

Automatic 3D surface reconstruction has been an important research topic in digital photogrammetry for many years. Shaping from stereoscopic information is one of the widely studied topics in computer vision. Its central part is to solve the stereo matching problem automatically. Most algorithms used to solve the matching problem can be categorized as either area-base techniques or feature-based techniques. Feature-based techniques have gained more and more popularity for and it is the method that supports activities in object recognition and image understanding. But none of the former research can ensure the 100% matching exactness, thus, cannot complete high precision 3D surface measurement. In order to improve the precision of 3D measurement, we design a novel grating matching method, which can ensure 100% matching accuracy. It does not need any other assistant symbol or flag, only select one of the gratings which have to be projected to the objects. On the beginning of the measurement, the background of the object is captured by a CCD camera. Later gratings include single grating and group gratings will be projected to the object in sequence. All the images include gratings will make a subtraction with the background. The difference of the two images will be treated as 3D cues to acquire the 3D shape. Because no recognizing work is needed, the location of the single grating and each one in the group can be positioned exactly. From a lot of experiments, the proposed grating matching method is proved and it is a technique with high precision, low costs, easy operation, and an automatically matching method. Furthermore, it can be widely used in most of 3D vision recovery systems.     

Pulse Signal Recovery Method Based on Sparse Representation

Pulse signal recovery is to extract useful amplitude and time information from the pulse signal contaminated by noise.It is a great challenge to precisely recover the pulse signal in loud background noise.The conventional approaches,which are mostly based on the distribution of the pulse energy spectrum,do not well determine the locations and shapes of the pulses.In this paper,we propose a time domain method to reconstruct pulse signals.In the proposed approach,a sparse representation model is established to deal with the issue of the pulse signal recovery under noise conditions.The corresponding problem based on the sparse optimization model is solved by a matching pursuit algorithm.Simulations and experiments validate the effectiveness of the proposed approach on pulse signal recovery.