Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Progressive time delay bandwidth speed measurement analysis method and system based on deep learning

A deep learning, time-delay and bandwidth technology, applied in the Internet field, can solve problems such as a large amount of user data

Active Publication Date: 2020-07-24
中电福富信息科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this technology is that the more user data there is, the more it can reduce the bandwidth occupied by users during use, and the faster results can be obtained. At the same time, the disadvantage is that deep learning requires a large amount of user data.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Progressive time delay bandwidth speed measurement analysis method and system based on deep learning
  • Progressive time delay bandwidth speed measurement analysis method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to realize the progressive time-delay bandwidth speed measurement analysis based on deep learning, it is necessary to analyze the bandwidth influencing factors as the input conditions required for subsequent deep learning; at the same time, design a set of basic CS architecture, and use the most basic way to measure speed to obtain subsequent depth Learn the required input parameters.

[0044] Such as figure 1 As shown, the progressive delay bandwidth speed measurement analysis system based on deep learning includes the following equipment:

[0045] Car policy scheduling server:

[0046] Interact with the speed measurement server to provide traffic configurations with different bandwidths;

[0047] Speed ​​server:

[0048] Interact with the vehicle policy scheduling server to obtain different bandwidth traffic configurations;

[0049] Interact with the client protocol, and send the corresponding traffic to the client for download according to the configurat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a progressive time delay bandwidth speed measurement analysis method based on deep learning and a system thereof. A deep neural network is used to solve a learning process of feature expression. In order to improve the training effect of the deep neural network, people adjust the connection method and activation function of neurons, establish and simulate the neural networkfor analysis and learning of the human brain, and simulate the mechanism of the human brain to explain data. According to the invention, an intelligent design algorithm of deep learning is adopted, aCS architecture is combined, enough servers and demand clients are used for algorithm speed measurement, then user data is counted, and when the user data volume is enough, the required data can be obtained more quickly and accurately through deep learning.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a progressive delay bandwidth speed measurement analysis method and a system thereof based on deep learning. Background technique [0002] In the modern era of network popularization, the network speed is increasing day by day. On the eve of the 5G era, people have more and more real-time requirements for the availability of network bandwidth. People need a faster and more accurate bandwidth speed measurement method to realize their own bandwidth. Thus, the progressive delay bandwidth speed measurement analysis method and system based on deep learning were born. As the name implies, this method is based on the intelligent method of Deep Learning (DL), uses a progressive speed measurement analysis method, occupies the user's bandwidth as little as possible, and obtains the current user's bandwidth at the fastest speed. The advantage of this technology is that the more user ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L12/24G06N3/04G06N3/08
CPCH04L43/0894H04L43/0852H04L43/50H04L41/147G06N3/08G06N3/045
Inventor 卢建炜王影新郑炎林荣杰徐超
Owner 中电福富信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com