集成学习在高误码率下AOS协议识别中的应用研究

针对天基网络中高误码率的传输特点，为保证各个异构网络之间数据能够高效可靠的传输，采用空间链路层高级在轨系统协议设计一种基于集成学习的识别方法。该方法采用集成学习模型，学习AOS协议数据，构建基于集成学习的AOS协议识别模型，实现AOS协议的准确识别，并在高误码率情况下进行实验验证。实验结果表明，集成学习模型在AOS协议识别方面具有较好的识别效果，识别运行效率有显著提升，且在较高误码率即10^-1时依然可以保持稳定的识别效果。     

Sunspot cycle prediction using Warped Gaussian process regression

Solar cycle prediction is a key activity in space weather research. Several techniques have been employed in recent decades in order to try to forecast the next sunspot-cycle maxima and time. In this work, the Gaussian process, a machine-learning technique, is used to make a prediction for the solar cycle 25 based on the annual sunspot number 2.0 data from 1700 to 2018. A variation known as Warped Gaussian process is employed in order to deal with the non-negativity constraint and asymmetrical data distribution. Tests using holdout data yielded a root mean square error of 10.0 within 5 years and 25.0–35.0 within 10 years. Simulations using the predictive distribution were performed to account for the uncertainty in the prediction. Cycle 25 is expected to last from 2019 to 2029, with a peak sunspot number about 117 (110 by the median) occurring most likely in 2024. Thus our method predicts that solar Cycle 25 will be weaker than previous ones, implying a continuing trend of declining solar activity as observed in the past two cycles.     

片梭织机散件装配结构流程图的绘制及应用

介绍了片梭织机的结构，并应用系统原理绘制出片梭织机散件装配结构流程图。从而解决了在没有零件装配图的情况下，装配散件片梭织机的问题。     

DNC系统串行通信技术的研究

介绍目前用于数控机床的数据传输及管理的DNC技术。基于数控机床多数带有RS-232C串行接口的现状具体把说明于数控机床通过RS-232C串行接口实现DNC通讯的方法及其应用。并介绍了基于串行通信技术运用VC 语言开发通讯软件的方法。     

Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem

With recent technological advances in remote sensing, very high-dimensional (hyperspectral) data are available for a better discrimination among different complex land-cover classes having similar spectral signatures. However, this large number of bands makes very complex the task of automatic data analysis. In the real application, it is difficult and expensive for the expert to acquire enough training samples to learn a classifier. This results in a classification problem with small-size training sample set. Recently, a regularization-based algorithm is usually proposed to handle such problem, such as Support Vector Machine (SVM), which usually are implemented in the dual form with Lagrange theory. However, it can be solved directly in primal formulation. In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set. It has been empirically proven that the effectiveness of the introduced implementation technique which has been evaluated by benchmark datasets.     

PVM并行调试器中检查点机制的实现方法

介绍了检查点在调试半行程序中常用的实现方法，提出了一种新的断点式一致性的检查点设置方案，并分析了它在ＰＶＭ环境中的实现策略，旨在提供一种快速，方便的调试ＰＶＭ并行程序的手段。     

一种测量接触电阻的新方法

总结接触电阻的测试方法,讨论了产生测量不确定度的因素,对四线法测量原理和消除热电势的方法进行了论述。提出了接触电阻的间接测量法,给出了间接测量法的计算公式,该方法可以用于测试电气回路中的接触电阻,并可以应用在环路电阻标准器的计量校准中。     

An approach to multi-temporal MODIS image analysis using image classification and segmentation

This paper discusses an approach for river mapping and flood evaluation based on multi-temporal time series analysis of satellite images utilizing pixel spectral information for image classification and region-based segmentation for extracting water-covered regions. Analysis of MODIS satellite images is applied in three stages: before flood, during flood and after flood. Water regions are extracted from the MODIS images using image classification (based on spectral information) and image segmentation (based on spatial information). Multi-temporal MODIS images from “normal” (non-flood) and flood time-periods are processed in two steps. In the first step, image classifiers such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN) separate the image pixels into water and non-water groups based on their spectral features. The classified image is then segmented using spatial features of the water pixels to remove the misclassified water. From the results obtained, we evaluate the performance of the method and conclude that the use of image classification (SVM and ANN) and region-based image segmentation is an accurate and reliable approach for the extraction of water-covered regions.     

基于平滑滤波与最小二乘支持向量机的指纹图像识别研究

平滑滤波能抑制或消除噪声,获得高质量的图像。建立了完整的指纹识别系统,通过预处理、特征提取和分类识别3个过程,实现了指纹的分类识别;研究了预处理过程中的滤波增强方法,比较了邻域平均、高斯平滑和中值滤波的处理效果;在识别阶段采用最小二乘支持向量机,进行指纹识别实验,并对实验结果进行了比较。     

一种面向自动钻铆的机器人自动送钉系统

现有的自动钻铆系统中90%的故障来源于送钉系统中的卡钉。为了进一步提高自动钻铆送钉系统的精度,降低故障率,提出一种基于视觉伺服的新型机器人送钉系统。该系统通过在机器人末端安装工业相机和铆钉抓取装置,以机器视觉的方式对铆钉进行质量检测和定位,并引导机器人对特定种类铆钉进行抓取和投放,从而保证了送钉质量。该系统重1.1t,占地面积1.57m^2,有效降低了自动钻铆装备中送钉系统的面积与重量。试验表明,机器人自动送钉系统对铆钉的检测精度达到0.1mm,在1min内抓送6枚以上铆钉,满足自动钻铆的性能要求。