Sensors perform various activities to detect in a recent environment of Internet of things and ubiquitous sensor network. A single sensor detects multi-events in some cases while multi-sensors detect a single event and report in some other cases. The study presented a way of data clustering to classify events detected by a single sensor in circumstances where information is obtained by a form of data stream. Data was grouped in three types of events when clustering was applied for sensor data detected and reported. The following results also showed that clustering distinguished the events in the consequent time timeslots. The clusters displayed changing patterns with time. This result would contribute to the study field of context inference based on data stream.
목차
Abstract 1. Introduction 2. Related Research 3. Distinguishing Multi-events from a Single Sensor 4. An Experiment and Evaluation 5. Conclusion Acknowledgements References
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.10 No.2