玻璃微珠球度自动测试

将现代光学测试技术、计算机技术和光电子技术相结合, 研究了基于面阵CCD,成像物镜和微机的微小尺寸检测系统, 实现了二维尺寸的高精度、非接触、实时自动检测。系统结构简单, 易于操作, 对环境要求宽松。为实现二维尺寸的非接触自动检测, 需要获得被测工件的边缘轮廓参数。解决了非线性平滑、阈值确定和边缘提取等关键技术, 利用边缘轮廓跟踪的方法获取工件的边缘轮廓图像, 系统可精确地确定工件的边缘轮廓曲线。作为实例对微米级玻璃珠的球度进行了测试。该测试系统为非接触式测量, 克服了传统测试方法一些固有的缺点, 不会对工件造成永久性损伤。实验表明该系统测量范围大, 绝对精度达到3.0 μm, 重复性好。     

数字图像一阶矩的自动聚焦区域选择算法

聚焦区域选择是自动聚焦算法中的重要模块,直接影响评价函数曲线的尖锐性、准确性和稳定性。针对中心取窗和多点取窗等传统聚焦区域选择算法的局限性,提出了一种基于数字图像一阶矩的自动聚焦区域选择算法,它是通过图像灰度或边缘一阶矩定位聚焦区域的。传统聚焦区域选择是一种定点估计,实验证明一阶矩方式选择可以跟踪偏离中心的主体景物,是一种具有自适应性的前景位置估计算法,提高了聚焦精确度和速度。     

进化算法在膜系自动设计中的应用

在膜系的优化设计中,以膜系结构为参数的评价函数是一个非常复杂的多峰值函数。传统的优化算法强烈地依赖于膜系的初始设计,且易陷入较接近于初始结构的一个局部极值处。为解决这一矛盾,将全局寻优的自适应进化算法用于光学薄膜的膜系优化设计,设计中只需问题解的编码和适应度函数,而不依赖其他任何辅助信息(包括初始结构),有利于自动设计的进行。将该方法与常用设计方法进行了比较。高反膜、分光镜的实例优化表明：在相同设计要求下,用自适应进化算法可以得到更加合理的膜系结构,而且膜系结构简单,设计灵活,容易实现。理论和实践均表明该方法是高效和可靠的。     

黑体辐射在工业冶炼金属镍中的应用

本文主要介绍一种金属镍出炉时间的自动控制方法。在冶镍炉上开一个小孔,近似认为是理想黑体,通过光路选择系统将辐射出的光照射在热电偶上,然后将热电偶上的电压信号用运算放大器放大,可以获得温度和电动势之间的关系。通过一个微控制器形成一个闭环的测温和反馈系统,以构成一个实时的控制系统.     

Study of blood collection and sample preparation for analysis of vitamin D and its metabolites by liquid chromatography–tandem mass spectrometry

The analysis of vitamin D status, with special emphasis on 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D, is gaining interest in clinical studies due to the classical and non-classical effects attributed to this prohormone. In this research, the influence of the two steps preceding determination (viz. sample collection and preparation) on the quantitative analysis of vitamin D and its more important metabolites has been studied. Two preparation approaches, deproteination and solid-phase extraction (SPE), have been evaluated in terms of sensitivity to delimit their application, thus establishing that detection of 1,25-dihydroxyvitamin D cannot be addressed by protein precipitation. Concerning sample collection, serum and plasma reported high accuracy (above 83.3%) for vitamin D and metabolites, while precision, expressed as relative standard deviation, was below 12.9% for all analytes in both samples. Statistical analysis revealed that serum and plasma provided similar physiological levels for vitamin D₃, 24,25-dihydroxyvitamin D₃ and 25-hydroxyvitamin D₃, while significantly different levels were obtained for 1,25-dihydroxyvitamin D₃, always higher in plasma than in serum. Sample collection and treatment have proved to be significant in the analysis of vitamin D and its relevant metabolites.     

Convolutional Neural Network Approach for Multispectral Facial Presentation Attack Detection in Automated Border Control Systems

Automated border control systems are the first critical infrastructure point when crossing a border country. Crossing border lines for unauthorized passengers is a high security risk to any country. This paper presents a multispectral analysis of presentation attack detection for facial biometrics using the learned features from a convolutional neural network. Three sensors are considered to design and develop a new database that is composed of visible (VIS), near-infrared (NIR), and thermal images. Most studies are based on laboratory or ideal conditions-controlled environments. However, in a real scenario, a subject’s situation is completely modified due to diverse physiological conditions, such as stress, temperature changes, sweating, and increased blood pressure. For this reason, the added value of this study is that this database was acquired in situ. The attacks considered were printed, masked, and displayed images. In addition, five classifiers were used to detect the presentation attack. Note that thermal sensors provide better performance than other solutions. The results present better outputs when all sensors are used together, regardless of whether classifier or feature-level fusion is considered. Finally, classifiers such as KNN or SVM show high performance and low computational level.     

基于公钥基础设施的Hadoop安全机制设计

为了满足运载火箭遥测系统集成验证的测试需求,同时提升测试设备的通用性,降低测试设备的研制成本,本文采用面向信号的设计思想,设计了一种简洁高效的遥测系统自动化测试平台。该测试平台基于PXI总线开发,通过采取多路复用开关与输入输出模块相结合的设计思路,可实现多参数的巡检测试及同时测试,使测试平台具有较好的通用性和灵活性,在硬件设备不做更改的前提下可适用于多型运载火箭的测试需求,同时研制成本大幅降低;通过接收解析箭上遥测数据,测试过程无需人工干预,实现了自动化测试与自动化判读。通过试验验证,该测试平台工作稳定,能较好的满足多型运载火箭遥测系统集成验证测试需求,同时该平台的设计方法为同类测试系统的设计提供了一种思路。     

融合形态学连通域和CV模型的民族服饰图案纹样元素分割方法

对民族服饰图案进行自动分割以提取图案纹样元素,是民族服饰图案素材库构建急需解决的难题。通过融合形态学连通域标记和CV模型（MCC-CV）,提出了一种民族服饰图案自动分割方法,首先对民族服饰图案进行预处理,然后采用形态学连通域标记算法获得待分割目标的位置和大致轮廓信息,对CV模型进行初始化,最后通过CV模型对不同分割目标进行边缘追踪,以实现民族服饰图案纹样元素的自动分割。实验表明,融合形态学连通域和CV模型的民族服饰图案纹样元素自动分割方法在边界召回率（BR）为0.5时,分割准确率为60%,与其他自动分割算法相比,该算法更为有效,满足了民族服饰图案素材库建设对图案纹样元素分割的基本要求。     

Stereospecific assignments of protein NMR resonances based on the tertiary structure and 2D/3D NOE data

In many cases of protein structure determination by NMR a high-quality structure is required. An important contribution to structural precision is stereospecific assignment of magnetically nonequivalent prochiral methylene and methyl groups, eliminating the need for introducing pseudoatoms and pseudoatom corrections in distance restraint lists. Here, we introduce the stereospecific assignment program that uses the resonance assignment, a preliminary 3D structure and 2D and/or 3D nuclear Overhauser effect spectroscopy peak lists for stereospecific assignment. For each prochiral group the algorithm automatically calculates a score for the two different stereospecific assignment possibilities, taking into account the presence and intensity of the nuclear Overhauser effect (NOE) peaks that are expected from the local environment of each prochiral group (i.e., the close neighbors). The performance of the algorithm has been tested and used on NMR data of alpha-helical and beta-sheet proteins using homology models and/or X-ray structures. The program produced no erroneous stereospecific assignments provided the NOEs were carefully picked and the 3D model was sufficiently accurate. The set of NOE distance restraints produced by nmr2st using the results of the SSA module was superior in generating good-quality ensembles of NMR structures (low deviations from upper limits in conjunction with low root-mean-square-deviation values) in the first round of structure calculations. The program uses a novel approach that employs the entire 3D structure of the protein to obtain stereospecific assignment; it can be used to speed up the NMR structure refinement and to increase the quality of the final NMR ensemble even when no scalar or residual dipolar coupling information is available.     

基于几何矩预分类的无人机遥感图像自动配准方法

图像配准技术是近些年来图像处理领域发展迅速的研究方向之一.在遥感领域内,图像配准更是实现图像融合、运动检测、图像校正、图像拼接等应用的一个关键步骤.尽管国内外目前在图像配准方面提出了很多方法,但不同方法适用的图像范围不同,很多时候需要人工干预进行方法的选择.尤其对于无人机这种快速、实时获取图像的新型遥感平台,如何集合不同方法的优点以实现图像自动配准成为了关键性问题.本文在比较分析了基于SIFT和SURF特征提取图像配准方法的各自优势后,提出基于几何矩的方法对图像进行预先分类,从而决定将其分配给何种方法进行配准,实现全程自动化.实验证明,这种图像自动配准方法在拓宽了图像应用范围的同时保证了良好的配准效果.