15-441: Computer Networks
时间: 2024-05-31 13:13:36 浏览: 17
15-441: Computer Networks is a course offered at Carnegie Mellon University that covers the fundamental concepts and principles of computer networks. The course covers topics such as network architecture, protocol design, network security, and network performance analysis. Students in the course will gain practical experience through programming assignments and lab exercises, as well as theoretical understanding through lectures and readings.
相关问题
computer networks - 5th edition
《计算机网络-第五版》是一本关于计算机网络的教材,是由Larry L. Peterson和Bruce S. Davie合著的一本权威教材。这本教材是计算机科学领域中研究计算机网络最重要的参考书之一。
《计算机网络-第五版》详细介绍了计算机网络的基本概念、原理、协议和技术。这本教材包含了计算机网络的各个方面,从物理层到应用层,涵盖了广域网、局域网、互联网和无线网络等。它以清晰的方式解释了各种网络协议和技术的工作原理,如TCP/IP、以太网、WiFi、Ipv6等。
《计算机网络-第五版》的特点是理论和实践相结合。书中提供了大量的示例和案例研究,帮助读者更好地理解和应用所学知识。此外,书中还包含了一些练习题和实验案例,可以帮助读者巩固所学知识,培养解决实际问题的能力。
此外,该教材还介绍了一些最新的技术和趋势,如云计算、物联网和软件定义网络等。这些内容可以帮助读者跟上快速发展的网络技术,了解当前和未来的网络发展方向。
总之,《计算机网络-第五版》是一本权威且全面的计算机网络教材,适合计算机科学相关专业的学生和从业人员使用。通过学习这本教材,读者可以深入了解计算机网络的基本概念和原理,掌握网络协议和技术的实际应用,为未来的网络工作打下坚实的基础。
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
V2X-ViT is a novel approach to cooperative perception in autonomous vehicles that leverages the power of Vision Transformers (ViT) to improve communication between vehicles and the surrounding environment. V2X stands for Vehicle-to-Everything, which refers to the communication between vehicles and other road users, infrastructure, and the cloud.
The V2X-ViT system uses ViT to process the visual input from a vehicle's sensors and extract semantic information about the environment. This information is then transmitted to other vehicles and the cloud, allowing them to build a more comprehensive understanding of the surrounding environment.
One of the key advantages of V2X-ViT is that it can handle complex visual scenes with a high degree of accuracy. This is achieved through the use of ViT, which has been shown to outperform traditional convolutional neural networks (CNNs) on a range of computer vision tasks.
V2X-ViT also has the potential to improve the safety and efficiency of autonomous vehicles. By sharing information about the environment, vehicles can avoid collisions and optimize their driving behavior. This could lead to a reduction in accidents and traffic congestion, as well as improved fuel efficiency and lower emissions.
Overall, V2X-ViT represents an exciting step forward in the development of cooperative perception systems for autonomous vehicles. With further research and development, this technology could play a key role in shaping the future of transportation.
相关推荐
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![-](https://csdnimg.cn/download_wenku/file_type_lunwen.png)
![-](https://csdnimg.cn/download_wenku/file_type_lunwen.png)
![-](https://csdnimg.cn/download_wenku/file_type_lunwen.png)
![-](https://csdnimg.cn/download_wenku/file_type_lunwen.png)
![-](https://csdnimg.cn/download_wenku/file_type_lunwen.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)