Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. The Modern Smart Hardware Devices and Enhancement
  2.1. The State-of-the-art Smart Hardware Devices
  2.2. The Security and Organization Enhancement Trend
 3. The Regression Analysis Paradigm
  3.1. The Traditional Mathematical Regression Models
  3.2. The Novel Regression Analysis Paradigm
 4. The Modern Health Monitoring Technique
 5. The Optimized Expanded Training Exercise Effect Evaluation Model
  5.1. The Primary Training Exercise Effect Evaluation Model
  5.2. The Neural Network based Prediction Model
  5.3. The Applications on the Expanded Training
 6. Experiment and Simulation
 7. Final Conclusion
 References

키워드

저자

• Kejin Shi [ Huazhong Agricultural University, Wuhan, Hubei Province, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605