Earticle

초록

영어

For the situation inference in the internet of the things environment, this research suggests a method to utilize relations between various events that compose data stream. Connecting various events in respect of mutual correlation and connectivity of various events can provide good clue for situation inference. To divide and connect various events in respect of mutual correlation and connectivity can be solved with the method to add identification characteristic value or position value, etc. on the event value reported from the sensor and adding them. When giving the identification value, in case of providing estimation on correlation and connectivity between the procedure that divides each event based on identification value and the sensors, efficient situation inference is possible. This research showed that various events from various sensors could be divided each other based on correlation and connectivity on the event and practice situation inference by using this.

목차

Abstract
 1. Introduction
 2. Multi-Event Processing in the Internet of Things for Context Inference
  2.1. Cooperative Multi Event Base Situation Inference
 3. Experiment and Evaluation
 4. Conclusion
 References

키워드

저자

• Dong-Hyeok Seoh [ Kongju National University, 1223-24, Cheonandae-Ro, Seobuk-Ku, 32588 Cheonan Chungnam, Korea ]
• Sung-Gil Kim [ Kongju National University, 1223-24, Cheonandae-Ro, Seobuk-Ku, 32588 Cheonan Chungnam, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605