basemap

一套基于GIS的交通网络处理软件，可以充分利用MapX在矢量地图编辑、数据管理等方面的强大功能，弥补传统专业软件的相应不足。(a GIS-based transport network processing software, can fully utilize the MapX vector map editing, Data management of the powerful functions, bridging traditional professional less than the corresponding software.)

fluent中smoothing动网格case及程序(smoothing dynamic mesh case and procedure in fluent)

介绍了组件式GIS技术，探讨了基于组件式GIS校园管理系统的组成。(Introduce a component-based GIS technology to explore the component-based GIS-based management system for the composition of the campus.)

基于arcgis的三维开发demo，包括基本的浏览，地图属性的查询等操作(Arcgis development of three-dimensional demo, including basic navigation, map attribute query)

RVE均匀化边界条件，ABAQUS插件，可通过插件对复合材料单胞进行边界条件约束，得到有效弹性常数。(RVE homogenizes boundary conditions)

说明：  基于深度学习的OFDM多载波系统信道估计(Channel estimation for OFDM multi carrier system based on deep learning)

说明：  基于C#+AE构建GIS桌面端应用系统框架-全代码(Construction based on C#+ AE GIS desktop applications framework- the whole code)

基于MapX的GPS车辆监控的源码 GIS编程(MapX-based GPS vehicle monitoring source GIS Programming)

基于WebGIS的交通运行轨迹动画演示 WebGIS GPS 轨迹 商用 定位 跟踪 在WebGIS地图上，加载gps轨迹库，以动画的形式演示车辆运动过程。 本程序自带shp地图，以动画的形式绘制轨迹。 开发环境是vs.net2008。Webgis组件采用aspmap。这个免费组件可以在本站搜索下载。 资源名称为：“小巧的webgis控件，支持高性能的AJAX，可商业应用”(The animated cartoon demonstrates commercial WebGIS GPS trajectory allocation tracking owing to that the WebGIS traffic runs a trajectory on WebGIS map, loading gps trajectory warehouse, the form with the animated cartoon demonstrates vehicle motion process. Procedure certainly brings the shp map along , draws a trajectory with the animated cartoon form. Exploitation environment is vs.net2008. The Webgis module adopt aspmap. This module free of charge can search for time be loaded with in this station. The resource name is: "Webgis control small and exquisite, supports high-performance AJAX, but business application " )

说明：  基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry pie 3B+/3B as the core processor, and based on Linux platform, uses Python 3.5 and OpenCV to process the image containing license plate information, and carries out a series of image processing operations such as Gaussian denoising, graying, edge detection, binarization, closed operation, character segmentation, character recognition matching, etc. Finally, the system of license plate recognition is realized)