Research on the Security Enhanced Smart Hardware Assisted Regression Analysis and Health Monitoring Technique based Expanded Training Exercise Effect Evaluation Model
With the rapid development of the Internet of things based smart hardware technology and computer engineering, combination of computer techniques with general expanded training exercise is the irreversible trend. In this paper, we propose the security enhanced smart hardware assisted regression analysis and the health monitoring technique based expanded training exercise effect evaluation model. Our research is composed of the following parts. (1) We review state of the art smart hardware device organization and security enhancement countermeasures to serve as the foundation for the further modelling. (2) We propose novel mathematical regression analysis paradigm and optimized prediction model based on the neural network theory and convex optimization to assisting the later evaluation work. (3) We propose the new health monitoring device with the enhanced security to real time monitor the movement and physical data. (4) We compare the proposed algorithm with the other popular adopted approaches and conduct comparison experiment. The experimental result proves that our model gets the higher prediction precision which enhance the traditional precision from 87% to 96.5% and the robustness is strengthened as well. In the future, we will combine more mathematical model to modify the current model to achieve the better performance.