为了探测视频高层复杂事件,架构了一个视频事件分析框架,采用本体和Petri网进行推理从而获取复合事件;运用视频语义本体标注算法分析低层视频语义,在高层构建一个视频事件分析本体,将低层本体映射到事件分析本体表示高层视频事件;通过...为了探测视频高层复杂事件,架构了一个视频事件分析框架,采用本体和Petri网进行推理从而获取复合事件;运用视频语义本体标注算法分析低层视频语义,在高层构建一个视频事件分析本体,将低层本体映射到事件分析本体表示高层视频事件;通过本体和扩展Petri网结合的方法对监控视频中的事件进行图形化异步事件推理;最后用semantic Web rule language(SWRL)规则表示视频监控事件的探测。实验证明,提出的方法比基于模式识别的事件探测方法更加有效。展开更多
Wireless Sensor Networks（WSNs） have many applications, such as climate monitoring systems, fire detection, smart homes, and smart cities. It is expected that WSNs will be integrated into the Internet of Things（IoT...Wireless Sensor Networks（WSNs） have many applications, such as climate monitoring systems, fire detection, smart homes, and smart cities. It is expected that WSNs will be integrated into the Internet of Things（IoT）and participate in various tasks. WSNs play an important role monitoring and reporting environment information and collecting surrounding context. In this paper we consider a WSN deployed for an application such as environment monitoring, and a mobile sink which acts as the gateway between the Internet and the WSN. Data gathering is a challenging problem in WSNs and in the IoT because the information has to be available quickly and effectively without delays and redundancies. In this paper we propose several distributed algorithms for composite event detection and reporting to a mobile sink. Once data is collected by the sink, it can be shared using the IoT infrastructure. We analyze the performance of our algorithms using WSNet simulator, which is specially designed for event-based WSNs. We measure various metrics such as average residual energy, percentage of composite events processed successfully at the sink, and the average number of hops to reach the sink.展开更多
文摘为了探测视频高层复杂事件,架构了一个视频事件分析框架,采用本体和Petri网进行推理从而获取复合事件;运用视频语义本体标注算法分析低层视频语义,在高层构建一个视频事件分析本体,将低层本体映射到事件分析本体表示高层视频事件;通过本体和扩展Petri网结合的方法对监控视频中的事件进行图形化异步事件推理;最后用semantic Web rule language(SWRL)规则表示视频监控事件的探测。实验证明,提出的方法比基于模式识别的事件探测方法更加有效。
文摘Wireless Sensor Networks（WSNs） have many applications, such as climate monitoring systems, fire detection, smart homes, and smart cities. It is expected that WSNs will be integrated into the Internet of Things（IoT）and participate in various tasks. WSNs play an important role monitoring and reporting environment information and collecting surrounding context. In this paper we consider a WSN deployed for an application such as environment monitoring, and a mobile sink which acts as the gateway between the Internet and the WSN. Data gathering is a challenging problem in WSNs and in the IoT because the information has to be available quickly and effectively without delays and redundancies. In this paper we propose several distributed algorithms for composite event detection and reporting to a mobile sink. Once data is collected by the sink, it can be shared using the IoT infrastructure. We analyze the performance of our algorithms using WSNet simulator, which is specially designed for event-based WSNs. We measure various metrics such as average residual energy, percentage of composite events processed successfully at the sink, and the average number of hops to reach the sink.
