Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning.
Yudong Sun,Yahui He +1 more
TLDR
Wang et al. as mentioned in this paper proposed a feature map-based pruning strategy to reduce redundant parameters and reduce the time and space complexity of parallelized deep convolutional neural network (DCNN) training.Abstract:
In high-paced and efficient life and work, fatigue is one of the important factors that cause accidents such as traffic and medical accidents. This study designs a feature map-based pruning strategy (PFM), which effectively reduces redundant parameters and reduces the time and space complexity of parallelized deep convolutional neural network (DCNN) training; a correction is proposed in the Map stage. The secant conjugate gradient method (CGMSE) realizes the fast convergence of the conjugate gradient method and improves the convergence speed of the network; in the Reduce stage, a load balancing strategy to control the load rate (LBRLA) is proposed to achieve fast and uniform data grouping to ensure the parallelization performance of the parallel system. Finally, the related fatigue algorithm's research and simulation based on the human eye are carried out on the PC. The human face and eye area are detected from the video image collected using the USB camera, and the frame difference method and the position information of the human eye on the face are used. To track the human eye area, extract the relevant human eye fatigue characteristics, combine the blink frequency, closed eye duration, PERCLOS, and other human eye fatigue determination mechanisms to determine the fatigue state, and test and verify the designed platform and algorithm through experiments. This system is designed to enable people who doze off, such as drivers, to discover their state in time through the system and reduce the possibility of accidents due to fatigue.read more
Citations
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Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network
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A Comparison Study of Sport Medicine Research Trend Before and After the 4th Industrial Revolution: A Systematic Review
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Integrating the BigData in Sports andResource InteractionUsing Artificial Neural Network
TL;DR: BP neural network in the artificial neural network is introduced and the concept of the neural network and its related formulas in detail are introduced in detail and training and performance testing of the network are conducted.
References
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Journal ArticleDOI
Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.
Marije Wijnberge,Bart F. Geerts,Liselotte Hol,Nikki Lemmers,Marijn P. Mulder,Marijn P. Mulder,Patrick Berge,J Schenk,Lotte E. Terwindt,Markus W. Hollmann,Alexander P.J. Vlaar,Denise P. Veelo +11 more
TL;DR: In this single-center preliminary study of patients undergoing elective noncardiac surgery, the use of a machine learning-derived early warning system compared with standard care resulted in less intraoperative hypotension.
Journal Article
Big Data Service Architecture: A Survey
TL;DR: The detailed cloud computing service system based on big data, which provides high performance solutions for large-scale data storage, processing and analysis, is introduced.
Journal ArticleDOI
A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine
TL;DR: An efficient ELM based on the Spark framework (SELM), which includes three parallel subalgorithms, is proposed for big data classification and implemented, which strengthens the learning ability of the SELM.
Journal ArticleDOI
Effective Features to Classify Big Data Using Social Internet of Things
S. K. Lakshmanaprabu,K. Shankar,Ashish Khanna,Deepak Gupta,Joel J. P. C. Rodrigues,Plácido Rogério Pinheiro,Victor Hugo C. de Albuquerque +6 more
TL;DR: A hierarchical framework for feature extraction in SIoT big data using map-reduced framework along with a supervised classifier model to classify the data and for predicting the efficiency of the proposed work is introduced.
Journal ArticleDOI
Game-Theoretical Energy Management for Energy Internet With Big Data-Based Renewable Power Forecasting
TL;DR: Simulation results show that accurate prediction results of wind power is conducive to better energy management, and the properties of the proposed energy management algorithm including the existence and uniqueness of Nash equilibrium and Stackelberg equilibrium are proved.