卫星综合应用的数字化验证环境

文章分析了现阶段卫星综合应用所面临的问题，指出卫星综合应用将从“设计制造为核心”向“客户应用为核心”的模式转变。为了适应客户为核心的应用模式，文章从满足卫星应用全寿命的角度出发，论述了卫里综合应用数字化验证环境建设的基本思路。

基于Spin图的形状局部相似性度量及其应用

形状局部相似度是衡量三维模型表面两个局部区域之间相似性程度的一个指标，该指标在计算机图形学和计算机视觉领域得到了广泛的应用。基于Spin图，提出了三维形状表面局部相似性的一种度量方法，并将局部相似性度量应用到模型表面的视觉增强应用中。为了能够有效比较模型表面两个局部区域之间的相似性程度，首先对模型上每个顶点邻域沿均匀分布采样方向进行均匀加密采样，然后建立采样点邻域的Spin图作为其形状描述符，通过比较局部区域之间的形状描述符得到局部相似性度量。同时，根据形状的局部相似性度量，对模型表面进行基于相似度的着色，实现模型表面的视觉增强操作。实验表明，基于Spin图的相似度分析方法能够较好地刻画模型表面的相似性程度，方便地实现模型表面的视觉增强效果。

Research on the Application of Project-based Approach in English Teaching in Higher Vocational Colleges

Project teaching method sets the carrier of teaching as a project, takes students as the main body, and changes the traditional teaching mode. Project teaching method, as a new teaching mode, has been applied to English teaching. It is a method that takes the project subject as the center and students complete a series of learning activities under the guidance of teachers. The ultimate goal of higher vocational education is to train technical and skilled talents for the society. Introducing the project teaching method into English teaching in higher vocational colleges, while stimulating students' enthusiasm for English learning and improving the practical application ability of language, the students' comprehensive professional ability is cultivated. For the language learning of students, the application of the project teaching method, the students will apply all the knowledge they have learned in practice based on the project intermediary. The introduction of the project teaching method is not only a challenge to the traditional teaching mode, but also effectively solves the problems in the teaching of public English courses.

一种基于多条件综合验证的精确定位瞳孔方法

本文首先使用梯度方向直方图（HOG）对瞳孔进行初次定位，提取感兴趣区域（ROI），缩小处理范围，去除部分噪声干扰，然后根据圆的几何特征检测瞳孔，对瞳孔进行再定位；最后依据瞳孔边界灰度梯度差最大的特征，逐个像素填充瞳孔边界，对已定位结果进行校正，在定位过程中，结合多种条件综合对瞳孔边界像素进行验证，保证边界像素的准确性，从而实现对不规则瞳孔边界的无误检测，达到精确定位瞳孔的目的。

基于SVM的驾驶员驾驶行为风险的研究

近些年,随着车联网技术的发展,越来越多的车险产品开始基于车联网环境开发和应用,基于UBI（Usage Based Insurance）的车险便是其中的典型代表.作者提出将依赖于驾驶员驾驶风险评定的UBI车险费率厘定的问题转化为分类问题,并简单介绍了非线性支持向量机分类器的原理,然后针对驾驶员的风险评定问题,给出了构造的特征向量及解释,最后利用构造的特征向量对非线性支持向量机进行分类训练,利用训练的分类器辅助评定驾驶员的的出险概率,从而决定该驾驶员的UBI车险费用.

CNN-based Traffic Sign Recognition

Background:The rapid development of the automobile industry has led to an increase in the output and holdings of automobiles year by year,which has brought huge challenges to the current traffic management.Method:This paper adopts a traffic sign recognition technology based on deep convolution neural network(CNN):step 1,preprocess the collected traffic sign images through gray processing and near interpolation;step 2,automatically extract image features through the convolutional layer and the pooling layer;step 3,recognize traffic signs through the fully connected layer and the Dropout technology.Purpose:Artificial intelligence technology is applied to traffic management to better realize intelligent traffic assisted driving.Results:This paper adopts an Adam optimization algorithm for calculating the loss value.The average accuracy of the experimental classification is 98.87%.Compared with the traditional gradient descent algorithm,the experimental model can quickly converge in a few iteration cycles.

Research on the Reform of the Reverse Construction Model of the Practical Teaching System of Higher Vocational Public Courses

According to the characteristics of practical teaching of higher vocational basic courses, the connotation, types, goals and significance of practical teaching of higher vocational basic courses are discussed, and the teaching status of higher vocational basic courses is analyzed. The practical curriculum system is reverse engineering. According to the training objectives, the reverse design graduation requirements, establish the relationship between training objectives, graduation requirements and practical curriculum system;on the basis of the reverse design of the practical curriculum system, establish a new relationship between the practical curriculum system and the theoretical curriculum system Finally, according to the graduation requirements, the basic curriculum, professional basic courses and professional courses are reversed. Construct a multi-dimensional and three-dimensional practical teaching mode that combines theory with practice, takes practice teaching as the main body, and combines practice inside and outside the classroom.

A Flight Trajectory Prediction Method Based on Internal Relationships between Attributes

The rapid development of the aviation industry urgently requires airspace traffic management,and flight trajectory prediction is a core component of airspace traffic management.Flight trajectory is a multidimensional time series with rich spatio-temporal characteristics,and existing flight trajectory prediction methods only target the trajectory point temporal relationships,but not the implicit interrelationships among the trajectory point attributes.In this paper,a graph convolutional network(AR-GCN)based on the intra-attribute relationships is proposed for solving the flight track prediction problem.First,the network extracts the temporal features of each attribute and fuses them with the original features of the attribute to obtain the enhanced attribute features,then extracts the implicit relationships between attributes as inter-attribute relationship features.Secondly,the enhanced attribute features are used as nodes and the inter-attribute relationship features are used as edges to construct the inter-attribute relationship graph.Finally,the graph convolutional network is used to aggregate the attribute features.Based on the full fusion of the above features,we achieved high accuracy prediction of the trajectory.In this paper,experiments are conducted on ADS-B historical track data.We compare our method with the classical method and the proposed method.Experimental results show that our method achieves significant improvement in prediction accuracy.

基于WebGL的城市三维场景可视化研究

针对网络环境下城市三维场景的传输与可视化需求，采用适合网络交换和渲染的三维模型数据结构glTF（gl Transmission Format），分析了基于glTF组织与构建三维场景的依据和方法。同时，通过异步加载、本地缓存、可见性剔除等技术，对场景数据进行高效调度与绘制。依据这些理论和技术，设计了充分考虑可视化效率的B／S模式系统服务架构，并基于WebGL开发了城市三维场景可视化平台，宴验表明平台能流畅地实现城市三维场景的绘制，可视化效果以及用户体验良好。

Research on the Renewal of Modern Communication Ideas and the Construction of Ideological Discourse Right

With the development of network information technology and the popularization of mobile terminal equipment, people's network practice activities are deepening day by day, and people's understanding has also undergone profound changes. The combination of ideological discourse power and cyberspace expands the source of discourse power, promotes the transformation of discourse subject, and also changes the mode of discourse transmission and the pattern of discourse power. In addition to using the state power to constrain people's behavior, the ruling class also needs to use the discourse system. Ideology can only express the will of the ruler if it is combined with the right to speak. The ideology of today's Chinese society should also reflect the characteristics of the times, reflect the mainstream value of society, and explore how to construct the ideology of contemporary China. As a response to the background of world multi-polarization, economic globalization, cultural diversity, and social information. The construction of discourse power in mainstream ideology has a real need to be strengthened in China.

基于树形结构数据库的供电系统客户查询方法

阐述了建立供电系统故障诊断可视化系统的必要性，在应用Microsoft Visual Studio 2010和SQL Server2008等软件技术的基础上，提出了基于树形结构数据库的供电系统客户查询方法。将配电网的电气图节点信患、录入数据库的TreeView表格中，再通过编程将信息以树形结构形式在WPF上显示出来。同时，也可以将电气图在WPF中打开，通过编程实现对电气图添加注释信息的功能。当供电系统出现故障时，电网调度运行控制人员输入故障点，就能显示出故障的详细信患，并以短信方式通知维修人员和用户，从而缩短了断电时间，实现了配电网的规范化管理。

Simulation of Central Subpixel Location Method in Remote Sensing Multi-View Image

Subpixel localization in image center is one of the key technologies of vision measurement. In order to meet the requirements of accurate calibration and measurement in multi-field, the existing sub-pixel positioning methods are complex, the positioning accuracy is greatly affected by the effect of initial edge extraction, and the positioning accuracy is low. Because remote sensing multi-view images are usually not stationary random signals, in order to better express the non-stationary characteristics of images, random analysis is combined to segment sub-pixel objects in the center of remote sensing images. The accuracy of mark positioning will affect the accuracy of the whole measurement. The control point signs with different characteristics correspond to different recognition methods, so the selection of control point marks should be based on different requirements. It is used to describe the target view from different viewpoints and use the geometric features to retrieve the model library. The matching process uses global and local, statistical and structural target recognition features hierarchically, and is divided into two steps of retrieval and exact matching. The experiment was carried out to verify the effectiveness of the method.

基于小波变换的返回散射电离图前沿提取

提出采用小波变换进行返回散射电离图前沿的提取的方法；介绍基于小波变换边缘检测的原理及用于边缘检测小波基的选取原则，并对用于前沿提取的阈值确定首次采用归一化的方法降低了阈值选取难度。在有噪声存在的情况下，采用基于小波变换的边缘提取方法可有效的降低噪声的影响，实现返回散射电离图前沿的成功提取。

基于X射线脉冲星的深空导航方法

为了提高深空探测在巡航段的导航能力，提出一种基于x射线脉冲星的深空导航方法。介绍了x射线脉冲星导航原理和测量噪声特性，通过位置精度因子（Positioning Dilution of Precision, PDOP）和脉冲星优选指标（Pulsars SeletCriteria, PSC）对导航脉冲星组合进行选择，同时考虑了脉冲星几何构型和测量误差对导航精度的影响。以火星探测任务为背景，建立深空航天器轨道动力学模型，以x射线脉冲到达时间为量测量，利用扩展Kalman滤波（Extend KalmanFilter, EKF）进行状态估计，仿真验证了基于x射线脉冲星的深空导航方法的可行性与有效性。

基于深度学习的反无人机视觉检测方法研究

无人机的非法入侵对日常生活乃至社会治安造成了严重威胁。本研究基于微波雷达和机器学习的方法针对低、慢、小目标无法达到很好的检测效果,提出一种基于深度学习的反无人机视觉检测方法。利用检测器DETR(DEtectionTRansformer)对高空多场景无人机目标进行检测:在DETR模型中引入可变形注意力模块,提高对小目标无人机检测精度;利用ShuffleNet V2模型对DETR主干网络进行轻量化改进,并加入混合注意力机制,在不明显降低检测精度的同时减小模型参数量,满足无人机实时性检测需求。实验证明,改进后的模型与原DETR模型相比,平均精度(mAP@0.5)提高了2.4%,小目标检测精度提升5.9%,对模型主干网络进行轻量化改进后,模型参数量从66.5Mb降到43.8Mb,并且提升了检测速度,满足了无人机检测模型的实时性与部署需求。