Earticle

초록

영어

In recent years, lots of studies have been in progress around the world to solve the problem of global warming. The reduction of CO2 would be important to solve the global warming problem. Probably the production and conservation of energy might be thought to be highly crucial. Also it would be important to produce new energy with high efficiency. In addition, the efficient use of the current energy might be also an important issue. Therefore, this paper focused on the development of devices for reducing electricity as a primary energy source for mobile cloud computing, which can be utilized in homes, shops, buildings, factories and so on. Moreover, we should further emphasize to develop the inference engine as core component. As a result, this paper proposes an efficient electricity saving system for reducing the electricity consumption using the mobile cloud computing technique and SARIMA model. Performance evaluation is carried out for showing the effectiveness of the proposed system.

목차

Abstract
 1. Introduction
 2. Demand Estimation and SARIMA Model
 3. The Proposed Inference Algorithm
  3.1. Illumination Simulation
  3.2. Temperature Simulation
 4. Performance Evaluation
 5. Conclusion and Future Works
 Acknowledgments
 References

키워드

저자

• Jun Heo [ Dept. of Information & Communication, Kyungmin College Uijeongbu, South Korea ]
• Moon-Sik Kang [ Dept. of Electronic Engineering, GangneungWonju National University Gangneung&Wonju, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605