爆炸冲击的激光多普勒远距离测量技术的研究

利用激光多普勒效应和数字信号处理方法,获取爆炸冲击过程中的高速变形参数,以此作为对爆炸强度分析的依据。根据爆炸变形的特点,设计了外差式纵向激光多普勒测量系统,提出了相应的数字滤波和频谱分析的信号处理方法,实现了爆炸变形的动态测量。系统测量的位移量程为±30mm,速度量程为-10~+20m/s,测量距离为4.5m。与振动台的试验对比,位移测量相对误差小于1%。给出了圆筒钢制爆炸容器在300gTNT当量炸药爆炸过程中弹性变形的测量结果。     

MIMO-OFDM系统中的空时/频编码技术

OFDM(正交频分复用)是一种高效的多载波调制技术,可以用来对抗无线环境中的多径衰落,减少码间干扰。空时编码是一种发射分集技术。文中主要研究基于M IMO(多输入多输出)-OFDM的空时分组码和空频分组码的系统结构以及编译码方法。仿真结果表明,将空时编码技术与M IMO-OFDM技术相结合能有效地抵抗频率选择性随机衰落。     

Efficient encoding of quasi-cyclic low-density parity-check codes

Quasi-cyclic (QC) low-density parity-check (LDPC) codes form an important subclass of LDPC codes. These codes have encoding advantage over other types of LDPC codes. This paper addresses the issue of efficient encoding of QC-LDPC codes. Two methods are presented to find the generator matrices of QC-LDPC codes in systematic-circulant (SC) form from their parity-check matrices, given in circulant form. Based on the SC form of the generator matrix of a QC-LDPC code, various types of encoding circuits using simple shift registers are devised. It is shown that the encoding complexity of a QC-LDPC code is linearly proportional to the number of parity bits of the code for serial encoding, and to the length of the code for high-speed parallel encoding.     

主客观相结合眼波面像差分析系统

利用Hartmann-Shack波面传感器对眼出瞳位置的波面像差进行测量,根据所测像差控制可变形镜对像差进行实时补偿.眼像差以Zernike多项式表示,通过对可变形镜的精确控制,可在光路中生成特定模式和幅值的像差.因此,被测者根据视觉的主观感觉,调节视标像差,直至获得最满意的视觉效果.该系统采用移动三棱镜和柱镜的方法对离焦和散光进行预补偿,弥补了波面传感器测量范围和可变形镜矫正范围受限制的缺点.该系统把快速、客观的测量及补偿和主观调整相结合,更加符合人眼工作的特性,可用于在人眼像差与视觉分辩的基础和临床研究.     

X射线荧光光谱(XRF)法测定绿泥石中镁、铝、硅、磷、钾、钙、钛、铁元素含量

建立了X射线荧光光谱法测定绿泥石中镁、铝、硅、磷、钾、钙、钛、铁元素含量的快速分析方法。以标准物质及标准物质与基准试剂氧化镁、氧化钙人工混合配制标样的方法建立标准工作曲线,重点讨论了熔剂和脱模剂的选取。最佳熔样条件：采用8.0g四硼酸锂和偏硼酸锂混合熔剂(质量比67: 33)+0.8g样品并添加溴化锂作为脱模剂,熔样温度1100℃,熔样时间10min。该方法相对标准偏差(n=12)均小于5.57%,绿泥石样品测定结果与化学法一致,硅酸盐标准物质测定结果均满足不确定度要求。     

Information mining and similarity computation for semi- / un-structured sentences from the social data

In recent years, with the development of the social Internet of Things (IoT), all kinds of data accumulated on the network. These data, which contain a lot of social information and opinions. However, these data are rarely fully analyzed, which is a major obstacle to the intelligent development of the social IoT. In this paper, we propose a sentence similarity analysis model to analyze the similarity in people’s opinions on hot topics in social media and news pages. Most of these data are unstructured or semi-structured sentences, so the accuracy of sentence similarity analysis largely determines the model’s performance. For the purpose of improving accuracy, we propose a novel method of sentence similarity computation to extract the syntactic and semantic information of the semi-structured and unstructured sentences. We mainly consider the subjects, predicates and objects of sentence pairs and use Stanford Parser to classify the dependency relation triples to calculate the syntactic and semantic similarity between two sentences. Finally, we verify the performance of the model with the Microsoft Research Paraphrase Corpus (MRPC), which consists of 4076 pairs of training sentences and 1725 pairs of test sentences, and most of the data came from the news of social data. Extensive simulations demonstrate that our method outperforms other state-of-the-art methods regarding the correlation coefficient and the mean deviation.     

脊波导漏壁式滤波器的简化算法

脊波导漏壁式滤波器在雷达和微波通信等领域得到广泛的应用。但是脊波导漏壁式滤波器解析计算困难,近似分析误差较大,直接使用商业软件HFSS仿真很耗时。基于传输线理论和波导裂缝有源阻抗提取方法,提出了一种脊波导漏壁式滤波器的简化算法。根据这种简化算法研制了一个脊波导漏壁式滤波器的样件,计算结果与试验结果具有较好的一致性,证明了该方法的有效性。     

基于海天线提取和混合灰度差的船舶检测方法

为了快速、准确检测海天背景下远距离水平观测的船舶目标,提出了一种基于海天线提取和混合灰度差的船舶检测方法.首先,利用边缘检测算法将图像分为天空、海天线和海面三个区域,并根据海天区域连接点,采用直线拟合方法确定海天线的直线参数;然后提取海天线区域作为目标感兴趣区域,并在去除海面杂波和噪声等干扰后利用混合灰度差水平投影和垂...     

Machine learning-based real-time visible fatigue crack growth detection

Many large-scale and complex structural components are applied in the aeronautics and automobile industries.However,the repeated alternating or cyclic loads in ...     

Surface Functionalized Magnetic Nanoparticles as a Selective Sorbent for Affinity Fishing of PPAR-γ Ligands from Choerospondias axillaris

Coronary heart disease (CHD), which has developed into one of the major diseases, was reported to be treated by the target of peroxisome proliferators-activate receptor γ (PPAR-γ). As a natural medicine long used in the treatment of CHD, there are few studies on how to screen the target active compounds with high specific activity from Choerospondias axillaris. To advance the pace of research on target-specific active compounds in natural medicines, we have combined magnetic ligand fishing and functionalized nano-microspheres to investigate the active ingredients of PPAR-γ targets in Choerospondias axillaris. The PPAR-γ functionalized magnetic nano-microspheres have been successfully synthesized and characterized by vibrating sample magnetometer (VSM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The specificity, reusability, and reproducibility of the nano-microspheres were investigated with the help of the specific binding of rosiglitazone to PPAR-γ. In addition, the incubation temperature and the pH of the buffer solution in the magnetic ligand fishing were optimized to improve the specific adsorption efficiency of the analytes. Finally, with the aid of ultraperformance liquid chromatography plus Q-Exactive Orbitrap tandem mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS/MS), the 16 active ligands including 9 organic acids, 5 flavonoids, and 2 phenols were found in the ethanolic extracts of Choerospondias axillaris. Therefore, the study can provide a successful precedent for realizing the designated extraction and rapid isolation of target-specific active ingredient groups in the complex mixtures.