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초록
영어
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보