Real Time Recommendations using Spark Streaming

Labview 2018 Real-Time模块

Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

此下载包括实用程序、示例代码和文档。 该文档解释了如何使用 Real-Time Workshop:registered: 提供的实用程序在自定义目标上实现任务执行分析。 这些实用程序允许您记录执行配置文件数据，并自动生成分析任务执行配置文件的报告和图形。 此处描述的实用程序适用于 R2006b，需要 Real-Time Workshop； Real-Time Workshop Embedded Coder 是可选的。

嵌入式领域的经典读物，美国老师上课的教材，内容很系统

matlab人脸检测框脸代码 matlab-real-time-face-detection These codes can detect face from real time video frame

MQTT Web面板 MQTT的实时Web界面。 演示版 。 特征 实时更新数据 显示所选期间的统计信息 响应界面 RESTful API 要求 Node.js >= 8.5 MongoDB >= 3.4 入门 本地安装 git clone git@github.com:mingruport/mqtt-web-panel.git cd mqtt-web-panel npm install npm start 您的应用程序应在上运行。 在Raspberry Pi上安装 安装Node.js： $ sudo apt install nodejs 检查安装： node -v 安装mqtt-web-panel： git clone git@github.com:mingruport/mqtt-web-panel.git cd mqtt-web-panel npm install np

This unique book provides readers with an understanding of the TMS320C66xx SoC as well as its constraints. It offers critical analysis of each element, which not only broadens their knowledge of the subject, but aids them in gaining a better understanding of how these elements work so well together. Written by Texas Instruments’ First DSP Educator Award winner, Naim Dahnoun, the book teaches readers how to use the development tools, take advantage of the maximum performance and functionality of this processor and have an understanding of the rich content which spans from architecture, development tools and programming models, such as OpenCL and OpenMP, to debugging tools. It also covers various multicore audio and image applications in detail. Additionally, this one-of-a-kind book is supplemented with: A rich set of tested laboratory exercises and solutions Audio and Image processing applications source code for the Code Composer Studio (integrated development environment from Texas Instruments) Multiple tables and illustrations

This book describes the design and implementation of mC/OS-II (pronounced "Micro C O S 2") which stands forMicro-Controller Operating System Version 2. μC/OS -II is based on μC/OS, The Real-Time Kernel which was firstpublished in 1992. Thousands of people around the world are using μC/OS in all kinds of applications such ascameras, medical instruments, musical instruments, engine controls, network adapters, highway telephone call boxes,ATM machines, industrial robots, and many more. Nu merous colleges and Universities have also used μC/OS toteach students about real-time systems.μC/OS-II is upward compatible with μC/OS (V1.11) but provides many improvements over μC/OS such as theaddition of a fixed-sized memory manager, user definable callouts on task creation, task deletion, task switch andsystem tick, supports TCB extensions, stack checking and, much more. I also added comments to just about everyfunction and I made μC/OS -II much easier to port to different processors. The source code in μC/OS was found in twosource files. Because μC/OS-II contains many new features and functions, I decided to split μC/OS-II in a few sourcefiles to make the code easier to maintain.If you currently have an application (i.e. product) that runs with μC/OS, your application should be able to run,virtually unchanged, with μC/OS-II. All of the services (i.e. function calls) provided by μC/OS have been preserved.You may, however, have to change include files and product build files to ‘point’ to the new file names.This book contains ALL the source code for μC/OS-II and a port for the Intel 80x86 processor running in Real-Modeand for the Large Model. The code was developed on a PC running the Microsoft Windows 95 operating system.Examples run in a DOS compatible box under the Windows 95 environment. Development was done using theBorland International C/C++ compiler version 3.1. Although μC/OS-II was developed and tested on a PC, mC/OS-IIwas actually targeted for embedded systems and can easily be ported to many different processor architectures.

Real-Time Web Application Development With ASP.NET Core, SignalR, Docker, and Azure