基于DAS的事件智能感知研究进展
- Di Wu 1,2, Qing-Quan Liang 1,2, Bing-Xuan Hu 3, Ze-Ting Zhang 1,2, Xue-Feng Wang 1,2, Jia-Jun Jiang 1,2, Gao-Wei Yi 1,2, Hong-Yao Zeng 1,2, Jin-Yuan Hu 2, Yang Yu 2, Zhen-Rong Zhang 1
- Di Wu 1,2, Qing-Quan Liang 1,2, Bing-Xuan Hu 3
- 1School of Computer Electronic and Information, Guangxi University, Nanning 530004, China.
- 2College of Sciences, National University of Defense Technology, Changsha 410073, China.
- 3School of Information Communication, National University of Defense Technology, Wuhan 430035, China.
- 0School of Computer Electronic and Information, Guangxi University, Nanning 530004, China.
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在PubMed上查看摘要
概括
此摘要是机器生成的。通过分布式声学传感 (DAS) 系统进行智能事件感知,详细介绍方法和应用. 这项研究为推进智慧城市的DAS技术提供了系统的参考.
科学领域
- 信号处理
- 人工智能
- 传感器技术
背景情况
- 分布式声学传感 (DAS) 系统为环境监测提供了一种新的方法.
- 智能事件感知对于释放DAS的全部潜力至关重要.
研究的目的
- 系统地审查DAS系统中的智能事件感知.
- 为DAS评估建立一个理论框架.
- 探索方法上的创新和应用.
主要方法
- 审查DAS原则,架构和性能指标.
- 对事件感知的传统和深度学习方法的分析.
- 研究混合架构和智能传感策略.
主要成果
- 对DAS的机器学习和深度学习的方法创新
- 强调混合架构,平衡效率和准确性.
- 在各种应用中展示跨领域的适应性.
结论
- DAS技术显示出智慧城市发展的变革潜力.
- 应对数据短缺和噪音等挑战是未来研究的关键.
- 这一综述为推进DAS理论和应用提供了系统的参考.
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