Basic probability assignment (BPA) has the key role in multi-sensor data fusion. This paper proposed a way to determine BPA using the various signals acquired from the sensors. It described the analysis of signals detected by the sensors. The determined BPA were used for multi-sensor data fusion to infer and recognize the context targeted by a wireless sensor networks. To determine BPA, the change rate was calculated and assessed to be reflected. The method enabled context inference using the sensor signals even when there was no advanced information of the situation.
목차
Abstract 1. Introduction 2. Related Research 2.1. Dempster-Shafer Theory and Basic Probability Assignment 2.2. Previous Works 3. Determination of BPA in Multi-sensors Data Fusion 3.1. Determination of BPA for Context Inference 4. An Experiment and Evaluation 5. Conclusion Acknowledgements References
키워드
Context inferenceBasic Probability AssignmentDempster-Shafer Theorymulti-sensor data fusion
저자
Shinsook Yoon [ Department of Information and Communication, Korea Nazarene University ]
Chang-Keun Ryu [ Department of Electronics, Namseoul University ]
Donghyok Suh [ Department of Multimedia, Far East University, South Korea ]
Corresponding Author
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
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 Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.8 No.1