docsis networks

IPTV access networks are quite common. So I have studied the comprehensive application of WiMAX in IPTV access networks. Here I will share with you, hoping it will be useful to you. The MAC layer of the WiMAX system (including 802.16e and 802.16-2004) features connection-oriented, that is, all services (including those without connection) in the 802.16 system, the CID ing is mapped to the connection. Each c

For wireless network technology, many of us do not know what problems occur when the connection fails. How can we troubleshoot and diagnose the problems? Here we will answer your questions. When using wireless networks at home or in public, the network may be disconnected without warning. For us, I am afraid it is no more frustrating than this. Of course, this is also a very common network problem. Next, this article will detail the problems that may

. Passive Optical Networks are simpler than Active Optical Networks and copper networks, and more reliable and easy to maintain. In particular, if FTTH is widely used and the active device and power backup system are transferred from the outside to the room, the environment requirements for devices and equipment can be greatly reduced, and the maintenance period

There is almost no wireless network to access the Internet at home, so you have always chosen to disable wireless network cards in Windows. You can enable the wireless network cards whenever needed. However, NetworkManager in Ubuntu does not provide this option, the check box before "enable wireless" can only be temporarily disabled. After the restart, Wifi will still be automatically enabled, which will not bother. There are roughly two simple methods for disabling wireless

representation of input by the characteristics that have been learned.clustering is an extremely sparse coding form, with only one-dimensional non-0 characteristics .Different types of neural networksFeed-forward Neural Networks (forward propagation neural network)More than one layer of hidden layer is the deep neural network.Recurrent networks (recurrent neural network)More credible in biology.The sequenc

Efficient and cost-effective Hybrid congestion Control for HPC interconnection NetworksAbstract-interconnection Networks is key components in High-performance Computing (HPC) systems, their performance have A strong influence on the overall system one. However, at high load, congestion and its negative effects (e.g., head-of-line blocking) threaten the performance of the N Etwork, and so the one of the entire system. Congestion control (CC) is crucial

Protocol), and whether WPA supports CCMP (Counter mode with Cipher-block chaining Message authentication code Protocol) and data encryption. The WPA2-PSK must be able to support both TKIP and CCMP, and both methods must pass compatibility tests. TKIP is an enhanced and upgraded WEP encryption method. Its key length is 128 bits, which solves the problem of too short WEP Key Length and enhances security. TKIP is used to encrypt each data packet by mixing multiple factors (including the basic key,

With the increasing popularity of Wi-Fi, security issues have also been highlighted. 802.11 is a wireless LAN standard developed by IEEE. Wi-Fi is a commercial standard of 802.11. Due to the lack of mature security mechanisms in the early days of the Wi-Fi Alliance, the network hit flood occurs.This document analyzes the security of MAC-bound wep wpa WPA2 and its Enterprise Edition. Due to the lack of mature security mechanisms in the early days of the Wi-Fi Alliance, the network hit flood occur

Adit DeshpandeCS undergrad at UCLA (' 19)Blog Abouta Beginner ' s Guide to Understanding convolutional neural Networks Part 2IntroductionLink to Part 1In this post, we'll go to a lot more of the specifics of Convnets. Disclaimer: Now, I did realize that some of these topics is quite complex and could be made in whole posts by themselves. In a effort to remain concise yet retain comprehensiveness, I'll provide links to my papers where the topic is EX p

convolutional Neural Networks (convolutional neural Network): A type of classifier that uses neural networks to train parameters from data, extract features, pre-determine convolution kernel size, initialize randomly, and after feedback adjustment, different convolution cores in the training department.convolutional layers (convolutional layer): The next layer is obtained by convolution operations on the pr

credible person. The average size of this intimate group is 7, the same size as the capacity of human working memory. In general, mobile social networks have a mutation critical point of 7%, and a network density of 7%, the growth of mobile social networks is changed from linear to exponential. In that year, Facebook broke down at a tipping point of 6%. If a mobile social network fails to reach critical ma