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The volume before you from the serial "drive engineering-practical implementation" is aimed at technical specialists that process servo applications and provides clear information on the desin and theory of operation of common components of servo technology as well as their applications and project planing.

p-net Profinet设备堆栈 网络资源 源存储库： : 说明文件： ： 持续集成： ： RT-Labs： ： 网络 Profinet设备堆栈实现。 主要特征： Profinet v2.4 符合A级和B级 实时类1 多个以太网端口 易于使用 有关如何入门的大量文档和说明。 在30分钟内在Raspberry Pi上构建并运行示例应用程序。 便携的 用C写的。 Linux，RTOS或裸机。 提供了支持的端口层的源。 RT-Labs Profinet堆栈p-net用于Profinet设备实施。 它易于使用，占地面积小。 它特别适合于资源有限且效率至关重要的嵌入式系统。 该协议栈提供了完整的资源，包括移植层和示例应用程序。 此外，还支持C ++（任何版本）进行应用程序开发。 该平台的主要要求是它可以发送和接收原始以太网第2层帧。 特征： 多个以太网端口

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基于Wonderware Industrial SQL Server^TM的钢铁企业公司级实时数据库系统解决方案.pdf

在我的论文中，我开发了一种易于实现且经济的机器人控制系统和末端执行器。

Data-Driven Prediction for Industrial Processes and Their Applications (Information Fusion and Data Science) By 作者: Jun Zhao – Wei Wang – Chunyang Sheng ISBN-10 书号: 3319940503 ISBN-13 书号: 9783319940502 Edition 版本: 1st ed. 2018 Release Finelybook 出版日期: 2018-08-20 pages 页数: (443） Springer出版超清 This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.

Industrial hardware and software verification with ACL2.pdf

信息安全_数据安全_Sergey Gordeyhcik-Industrial Cyb 安全人才 业务风控 安全测试 数据安全 漏洞挖掘