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- W4386470537 abstract "The Internet of Things (IoT) is defined as a network of objects or things with computing power, storage power and communication power. The application of IoT relies on sensors to obtain data. With the continuous improvement of hardware and software equipment, data acquisition channels become more diversified, and the data generated by IoT increases by TB or even PB, and the data is generated in the form of data stream. In order to ensure the correctness and effectiveness of data analysis and combing, and ensure the quality of service, it is necessary to fill the missing data correctly and quickly. In this paper, based on the characteristics of Ultra Wide Band (UWB) technology, the concept and related design ideas of traffic-grade IoT based on UWB are put forward. Neighborhood rough set theory is used to calculate the relationship between continuous data, and to mine the correlation between current attributes and other attributes, that is, the overall influence of other attributes on current attributes. Through verification and analysis, its filling accuracy is as high as 85%. It can be seen from the experimental verification that the method in this paper has a higher improvement in the completion performance." @default.
- W4386470537 created "2023-09-07" @default.
- W4386470537 creator A5070756250 @default.
- W4386470537 date "2023-05-01" @default.
- W4386470537 modified "2023-09-27" @default.
- W4386470537 title "Simulation of Incomplete Data Filling Algorithm for Internet of Things Based on UWB Model" @default.
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- W4386470537 doi "https://doi.org/10.1109/icnetic59568.2023.00121" @default.
- W4386470537 hasPublicationYear "2023" @default.
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