A Context Uncertainty Elimination System Based on Hierarchical Comprehensive Quality Index qox and Its Working Method
A technology of uncertainty and quality indicators, applied in instruments, data processing applications, digital data information retrieval, etc., can solve problems affecting system service quality and user satisfaction, inappropriate reasoning and decision-making in the system, and reduce computing resource consumption. , reliability assurance, the effect of reducing the number of
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Embodiment 1
[0086] A contextual uncertainty elimination system based on hierarchical comprehensive quality index QoX, such as figure 1 As shown, it includes context acquisition layer, context processing layer, application layer connected in sequence,
[0087] The context acquisition layer is used to: as the sense of the entire context awareness system, periodically collect original context information through multiple physical sensors, virtual sensors and logical sensors, and send the collected original context information to the context processing layer; the original context is The unprocessed context information collected by various sensors mainly includes environment context, device context, user context and time context information;
[0088] The context processing layer is used to: as the core of the entire context awareness system, perform uncertainty elimination and fusion reasoning on the original context information acquired by the context acquisition layer according to various pr...
Embodiment 2
[0110] The present invention is a context uncertainty elimination system based on a hierarchical comprehensive quality index QoX in an intelligent perception space, which can effectively improve the efficiency and accuracy of context uncertainty elimination, so as to meet the real-time and self-adaptive requirements in actual context-aware computing applications The requirements of precision and precision can improve the overall performance of the system. The method of the embodiment of the present invention, its flow process is as follows figure 2 Shown:
[0111] Take the typical scenario of context-aware computing—smart home as an example. In the smart home, four methods of WIFI, Bluetooth, infrared and Zigbee are used to collect the location information about the user. The scene information obtained by WIFI, Bluetooth, infrared and Zigbee is I WIFI , I 蓝牙 , I 红外 , I Zigbee ,Specific steps are as follows:
[0112] S01: Calculate and analyze user preference QoE, includ...
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