Practical Network Coding Technologies and Softwarization in Wireless Networks

Zhu, Fumin; Zhang, Chen; Zheng, Zunxin; Farouk, Ahmed

doi:10.1109/jiot.2021.3056580

Cited by 65 publications

(30 citation statements)

References 12 publications

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“…As we all know, “static” is the biggest attribute of an image. In an image, the discriminative features of one area point are very likely to be applicable to other areas [ 18 , 19 ]. Therefore, it appears to calculate the mean or maximum value of the features in a certain area of the image and use it to represent the features of the area.…”

Section: Neural Network Model Based On Volleyball Arm Recognitionmentioning

confidence: 99%

Recognition of Volleyball Player’s Arm Motion Trajectory and Muscle Injury Mechanism Analysis Based upon Neural Network Model

Zhao

2022

Journal of Healthcare Engineering

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At present, in sports training for volleyball, it still mainly depends on the personal experience of the coach. Training costs are high, and the quality is difficult to maintain stable. Even with the introduction of training assistance software, it is often necessary to manually enter complex data, and the research samples are mostly single individuals. Serving is one of the basic and important technical movements of volleyball, and its standardization is of great significance to the stable performance of the scene. This article proposes an analysis of the volleyball player’s arm trajectory based on the background of human posture recognition and analysis, based on the neural network model. The changes in the angles of the shoulders, elbows, and wrist when serving the ball reflect the different trajectories of the arm. Experiments show that the height of the throwing arm from the ground accounts for 98% of the height. The horizontal angle of the throwing arm at the moment the ball leaves the hand is positively correlated with the throwing time and height, and the reasonable trajectory has an impact on the stability of the throwing ball. The closer the trajectory of the tossing arm is to the vertical, the more stable the tossing is.

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Section: Neural Network Model Based On Volleyball Arm Recognitionmentioning

confidence: 99%

Recognition of Volleyball Player’s Arm Motion Trajectory and Muscle Injury Mechanism Analysis Based upon Neural Network Model

Zhao

2022

Journal of Healthcare Engineering

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“…Other examples of radio wireless communication are GPS, garage door remote control, wireless mouse, etc. Finally, the accuracy of using the time series prediction algorithm and SVM regression algorithm under the radio communication network spectrum prediction technology to forecast the improvement potential of China's sports industry is obtained [16]. First, the use of Internet big data to collect China's comprehensive development data of the sports industry from 2016 to 2018 is shown in Figure 6: In the above picture, the overall development of the sports industry in 2016-2018 is stable, and the output value increased from 82.89 billion in 2016 to 110.21 billion in 2018.…”

Section: Wireless Communication Wireless Communication Refers To the ...mentioning

confidence: 99%

Forecast Analysis of the Overall Structure Characteristics and Development Potential of the Sports Industry Based on Wireless Communication Networks

Zhang

Jing

2022

Wireless Communications and Mobile Computing

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With the continuous development of China’s social economy, China’s sports industry has also continued to develop nowadays and has been increasingly noticed. Although the sports industry has achieved great improvement in recent years, compared with the sports industry in developed countries, the development of China’s sports industry is still in a relatively weak state. The consumption of China’s sports industry does not account for a high proportion of GDP. However, with the improvement of people’s income level and quality of life, as well as the improvement of the quality of the national group, people consume increasingly sports products. The sports market continues to expand and becomes more diversified, providing good conditions for the development of China’s sports industry. Forecasting the improvement potential of China’s sports industry has also become a hot research topic in recent years. Based on the characteristics of the structure of China’s sports industry and the status quo of the industry’s development, this paper was aimed at researching the prediction of the improvement potential of the sports industry based on radio communication networks. The article combines the time series prediction algorithm and SVM regression algorithm under the radio spectrum prediction technology to forecast and analyze the development potential of China’s sports industry. The conclusion is that the prediction accuracy rate of China’s sports industry development potential based on radio communication spectrum prediction technology is 90%, which shows that the prediction of the development potential of sports industry based on radio communication network is relatively accurate and effective.

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“…Today, with the rapid development of information technology, the development of scientific theories has brought about the rapid progress of science and technology [ 8 , 9 ]. The progress of science and technology has an impact on the field of education all the time, and changes the way of education transmission.…”

Section: Introductionmentioning

confidence: 99%

Teaching Mode Based on Educational Big Data Mining and Digital Twins

Zhou

2022

Computational Intelligence and Neuroscience

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Data mining technology has gradually become an important data analysis and knowledge discovery technology widely used in many modern industries. Data mining is a technique to find its regularity from a large amount of data by analyzing each data. It mainly includes three steps: data preparation, regularity search, and regularity representation. Data preparation is to select the required data from relevant data sources and integrate them into a data set for data mining; regular search is to find out the regularity contained in the data set by a certain method; regular expression is to be as user-readable as possible. The way of understanding (such as visualization) will represent the found patterns. This research mainly discusses the improvement of teaching mode based on digital twin-based education big data mining. Through the research on the basic principles of data mining and digital twin technology, the student evaluation tool module based on digital twin and the relevant data analysis tool module of students based on digital twin education big data mining are developed. Data mining is carried out from the data of student performance, personal basic information, and evaluation information to find the correlation between various factors, find the hidden laws, and provide support for teaching decision-making. This paper also solves the problem of frequent communication with remote databases according to the characteristics of the database data required by students and improves the efficiency and scalability of education big data mining technology based on digital twins. The goal of the virtual interactive system of the digital twin-based CNC platform is to have both three-dimensional real-time monitoring and remote control functions based on a three-dimensional virtual CNC panel. This research integrates the three-dimensional real-time monitoring and remote control of the virtual interactive system, analyzes the system operation process, develops the system interface, and improves the system sub-functions; it builds an experimental environment, conducts example tests on various functions of the digital twin platform virtual interactive system, and performs virtual interactions system performance indicators are analyzed. 60% of students believe that their innovation ability has been improved after the implementation of the digital twin teaching model; 50% of students believe that their self-evaluation ability has been improved. Applying digital twin’s educational big data mining to student information management, university teaching evaluation, student performance analysis, and examination system, it has played a very good guiding role in improving the level of school teaching management.

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Practical Network Coding Technologies and Softwarization in Wireless Networks

Cited by 65 publications

References 12 publications

Recognition of Volleyball Player’s Arm Motion Trajectory and Muscle Injury Mechanism Analysis Based upon Neural Network Model

Recognition of Volleyball Player’s Arm Motion Trajectory and Muscle Injury Mechanism Analysis Based upon Neural Network Model

Forecast Analysis of the Overall Structure Characteristics and Development Potential of the Sports Industry Based on Wireless Communication Networks

Teaching Mode Based on Educational Big Data Mining and Digital Twins

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