원문정보
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초록
영어
This study proposed a novel way to calculate Basic Probability Assignment(BPA), which is crucial in the data fusion. The study mapped sensing signal with a linear discriminant function analysis and assessed the sizes with time. This was beneficial to get a clue for context inference with using the Dempster-Shafer Theory and to determine BPA based on the size changing of mapping data in time intervals. The study provides with the way of context inference for fast detecting a local event that affects the whole area.
목차
Abstract
1. Introduction
2. Related Research
3. Event Information Discrimination and Context Inference
3.1. Linear Discriminant Analysis (LDA)
3.2. Event Occurrence and Sensing Data in the Sensor Network
4. Experiment and Evaluation
5. Conclusion
References
1. Introduction
2. Related Research
3. Event Information Discrimination and Context Inference
3.1. Linear Discriminant Analysis (LDA)
3.2. Event Occurrence and Sensing Data in the Sensor Network
4. Experiment and Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보