Fidelius-YeeZ隐私计算 介绍 为了增强企业之间的数据协作并帮助企业使用数据来增强其核心竞争力，我们推出了Fidelius，这是一种用于数据协作的隐私保护解决方案。 Fidelius基于“数据可用但不可见”的思想，同时有效地确保了原始数据的一致性，计算逻辑的可控制性，计算结果的正确性和私密性。 下图描述了基于Fidelius的数据协作的抽象流程。 与传统的数据协作模型相似，参与者包括数据提供者和数据消费者。 Fidelius在数据提供者和数据使用者的两端运行，并且双方与Fidelius进行交互以实现数据协作操作。 数据提供者与数据使用者之间没有直接的数据交互，并且原始/纯文本数据不会离开数据提供者，从根本上避免了私有数据泄漏的问题。 值得注意的是，与传统的数据协作模型相比，Fidelius引入了区块链。 由于区块链本身具有去中心化网络，公开且可验证的特征，因此Fidelius

由于机载计算能力较低，使用摄像机进行导航的小型无人机的速度和敏捷性可能受到限制。我们评估了边缘计算在5G自主导航中的作用。利用一种基于视觉的导航算法，研究了将图像处理任务转移到边缘服务器上的问题。比较了三种计算模式:板载（onboard）、完全卸载到边缘和部分卸载。部分卸载预计比完全卸载对通信网络的传输率要求低，但需要一些板载处理。我们在计算时间上的结果有助于根据网络情况选择最适合的图像处理模式，即是否卸载和卸载什么。

Cloud-Computing

Preparing this fourth edition of Computers as Components makes me realize just how old I am. I put together the final draft of the first edition in late 1999. Since that time, embedded computing has evolved considerably. But the core principles remain. I have made changes throughout the book: fixing problems, improving presentations, in some cases reordering material to improve the flow of ideas, and deleting a few small items. Hopefully these changes improve the book. The two biggest changes are the addition of a chapter on the Internet-of-Things (IoT) and coverage of safety and security throughout the book. IoT has emerged as an important topic since the third edition was published but it builds on existing technologies and themes. The new IoT chapter reviews several wireless networks used in IoT applications. It also gives some models for the organization of IoT systems. Safety and security have long been important to embedded computing—the first edition of this book discussed medical device safety—but a series of incidents have highlighted the critical nature of this topic. In previous editions, advanced topics were covered in Chapter 8, which covered both multiprocessor systems-on-chips and networked embedded systems. This material has been expanded and separated into three chapters: the IoT chapter (Chapter 8) covers the material on OSI and Internet protocols as well as IoT-specific topics; a chapter on automobiles and airplanes (Chapter 9) explores networked embedded systems in the context of vehicles as well as covering several examples in safety and security; and the embedded multiprocessor chapter (Chapter 10) covers multiprocessor systems-on-chips and their applications. As always, overheads are available on the book Website at http://www.marilynwolf.us. Some pointers to outside Web material are also on that Website, but my new blog, http://embeddedcps.blogspot.com/, provides a stream of posts on topics of interest to embedded computing people. I would li

HCIA-Cloud_Computing_培训教材V3.0.pdf HCIA-Cloud_Computing实验操作指导V3.0.pdf

Scientific Computing with Matlab and Octave second edition. (English Version)

Edge Computing A Primer，2018年新书，介绍边缘计算相关的概念和技术。

图灵论文《COMPUTING MACHINERY AND INTELLIGENCE 》——《计算机和智能》

MeshPy：从Python生成简单网格 MeshPy为Python提供了高质量的三角形和四面体网格生成。 这种类型的网格主要用于有限元仿真代码中，但也有许多其他应用，从计算机图形学到机器人技术。 为了产生二维和三维网格，MeshPy提供的Python接口到三个广泛关注的网格生成器，由J. Shewchuk， 由杭司前二者都包含在包中稍微修改的版本。 包括用于后者的通用网格读取器，以及从Python脚本运行gmsh的简便方法。 有关Christophe 和Jean-Francois Remacle的的界面，请参见gmsh_interop < >。 除了C ++编译器和有效的Python安装，MeshPy没有任何依赖关系。 在安装meshpy之前，您可以使用以下命令安装pybind11： pip install pybind11 从0.91.2版开始，MeshPy还可以与Pyth

新华为云计算认证 HCIE-Cloud Computing--题库 900分考过