원문정보
보안공학연구지원센터(IJBSBT)
International Journal of Bio-Science and Bio-Technology
Vol.5 No.5
2013.10
pp.129-140
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
It is necessary to implementation of system contain intelligent decision making algorithm considering individual characteristics because existing u-Health system is simply monitoring obtained data from sensor network. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for fire and damage of biological. We used K-Nearest Neighbor algorithm for recommend best similar case and input 3.000 EA by case for fire and damage context case base. As a result, we obtained about 86.6% average accuracy for damage of biological case and about 83.9% average accuracy for fire case. We implemented u-Health monitoring system using inference result.
목차
Abstract
1. Introduction
2. Related Work
2.1. Case-Based Reasoning
2.2. KNN Algorithm for the Measurement of Similarity
3. Construction of both Input Example Measurement and Case-based
3.1. Use case-based Data
3.2. Measurement of the Input Data of a Dangerous Situation Biological
3.3. Fire Situation, Measurement of the Input Data
3.4. Measurement of Similarity
4. Implementation Results of the System
5. Performance Evaluation
6. Conclusion
Acknowledgements
References
1. Introduction
2. Related Work
2.1. Case-Based Reasoning
2.2. KNN Algorithm for the Measurement of Similarity
3. Construction of both Input Example Measurement and Case-based
3.1. Use case-based Data
3.2. Measurement of the Input Data of a Dangerous Situation Biological
3.3. Fire Situation, Measurement of the Input Data
3.4. Measurement of Similarity
4. Implementation Results of the System
5. Performance Evaluation
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보