The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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A Novel Way of Diversifying Context Awareness Based on Limited Event Data of Sensors using Exon-Intron Theory in the Internet of Things Environment

사물인터넷 환경에서 Exon-Intron 이론을 활용한 센서의 제한된 이벤트 데이터 기반 상황인식 다양화 방안

  • Received : 2021.05.31
  • Accepted : 2021.08.17
  • Published : 2021.08.31
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Abstract

In an environment in which a limited type and number of sensors are used, a demand for acquiring various context information may appear. In this study, a new method for acquiring various context information than before was proposed in an environment in which a limited number of sensors are required. To this end, a clue was obtained from the Exon-Intron theory, which is gaining great interest in the field of biology, and a method for acquiring various context information was proposed based on this. By applying Exon-Intron's selective cutting and combining method, events of each sensor were efficiently cut and each event data was combined and utilized, thereby realizing the diversification of the acquired context information.

제한된 종류, 제한된 수량의 센서를 사용하여야 하는 환경에서 다양한 상황정보를 획득하여야 하는 수요가 나타날 수 있다. 본 연구에서는 제한된 숫자의 센서를 사용하여야 하는 환경에서 한정된 센서를 사용하면서도 이전보다 다양한 상황정보를 획득하기 위한 새로운 방안을 제안하였다. 이를 위하여 생물학 분야에서 큰 관심을 얻고 있는 Exon-Intron이론에서 실마리를 얻어 이를 기초로 다양한 상황정보 획득 방안을 제안하였다. Exon-Intron의 선택적 자르기 및 조합 방안과 같이 각 센서의 이벤트들을 효율적으로 자르고 각 이벤트 데이터들을 조합하여 활용함으로써 획득하는 상황정보의 다양화를 실현할 수 있었다.

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