Earticle

초록

영어

With the fast development of cloud computing and computer science technology, the combination of the IOT and clod computing in the medical-assisted environment is urgently needed. The prior research focus more on individual development of the single technique, quite a less research on the field of medical monitoring and managing service application have been conducted. Therefore, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the field of medical environment. We are trying to make the combination of the two kinds of technology monitoring and management information system in hospital. Remote monitoring cloud platform architecture model (RMCPHI) set up medical information in the first place. Then the RMCPHI architecture was analyzed. Eventually, the last effective PSOSAA algorithm proposed the hospital medical information service cloud system monitoring and management application. Experimental simulation illustrates that the proposed algorithm outperforms the other state-of-the-art algorithms. Further potential research areas are discussed.

목차

Abstract
 1. Introduction
 2. The IoT and Cloud Computing
  2.1. The Necessaries of the Integration
  2.2. The Applications of the Integration
 3. Our Proposed RMCPHI Architecture
  3.1. The Sensing and Communication Center
  3.2. The Cloud Computation Center
 4. Our Proposed Monitoring Algorithm
 5. Experimental Analysis
  5.1. The Simulation Environment
  5.2. The Simulation Result Analysis
 6. Conclusion and Summary
 References

키워드

저자

• Yu Liu [ Hebei North University, Zhangjiakou, Hebei 075000, China ]
• Beibei Dong [ Hebei North University, Zhangjiakou, Hebei 075000, China ]
• Benzhen Guo [ Hebei North University, Zhangjiakou, Hebei 075000, China ]
• Jingjing Yang [ Hebei North University, Zhangjiakou, Hebei 075000, China ]
• Wei Peng [ Hebei North University, Zhangjiakou, Hebei 075000, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605