Event Monitoring using Distributed Pattern Recognition Approach on Integrated IoT-Blockchain Network
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_040432.pdf
Reference19 articles.
1. Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5):637-646, 2016.
2. Mohamed Baqer, Asad I Khan, and Zubair A Baig. Implementing a graph neuron array for pattern recognition within unstructured wireless sensor networks. In International Conference on Embedded and Ubiquitous Computing, pages 208-217. Springer, 2005.
3. Anang Hudaya, Muhamad Amin, Nazrul Muhaimin Ahmad, and Subarmaniam Kannan. Integrating distributed pattern recognition technique for event monitoring within the iot-blockchain network. In 2018 International Conference on Intelligent and Advanced System (ICIAS), pages 1-6. IEEE, 2018.
4. Benny B Nasution and Asad I Khan. A hierarchical graph neuron scheme for real-time pattern recognition. IEEE Transactions on Neural Networks, 19(2):212-229, 2008.
5. Kangheng Wu, Xiaokang Xiong, Bert W. Leung, Jihyoun Park, and Zhibin Lei. Event processing of monitoring data of large hi-tech manufacturing equipment: Debs grand challenge. In Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems, DEBS '12, pages 387-392, New York, NY, USA, 2012. ACM. ISBN 978-1-4503-1315-5. doi: 10.1145/2335484.2335535. URL http://doi.acm.org/10.1145/2335484.2335535.
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