Intelligent Systems in Context-Based Distributed Information Fusion

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Intelligent Systems in Context-Based Distributed Information Fusion

Research on Intelligent Systems and context-based information fusion has matured during the last decade and many effective applications of this technology are now deployed. Context-based information fusion provides large quantities of information obtained from network sensors with heterogeneous characteristics, that needs to be efficiently processed. This paper proposes an intelligent system aimed at processing context information in health care environments. The system monitors patients and maintains a permanent fix on their location within a given context. The system uses information provided by sensors distributed throughout the environment. The intelligent agents take the information they receive and fuse it to improve the decisions and actions involved in their processing. This paper describes the proposed approach, focusing on the solutions provided by the agents through the information flow for the system

Multimedia Fusion for Public Security in Heterogeneous Sensor Networks

Public security is a widespread disastrous phenomenon that constitutes a grave threat. Although information fusion of video sensor networks for public security has been studied extensively, multimedia fusion in heterogeneous sensor networks or its application in public security remains a challenge and central goal in the field of information fusion. In this study, to realize the detection, monitoring, and intelligent alarm of such hazards, we develop a graph-based real-time schema for studying the dynamic structure of heterogeneous sensors for public security. In the proposed schema, data fusion algorithms based on data-driven aspects of fusion are explored to locate the optimal sensing ranges of sensor nodes in a network with heterogeneous targets. In addition, we propose a framework incorporating useful contextual and temporal cues for public security alarm, explore its conceptualizations, benefits, and challenges, and analyze the correlations of the target motion elements in the multimedia sensor stream. The experimental results show that the new method offers a better way of intelligent alarm that cannot be achieved by existing schemes