Abstract
Current sensor-based monitoring systems use multiple sensors in order to identify high-level information based on the events that take place in the monitored environment. This information is obtained through low-level processing of sensory media streams, which are usually noisy and imprecise, leading to many undesired consequences such as incorrect data or incomplete data, inconsistent data. Therefore, we need a mechanism to compute the quality of sensor-driven information that would help a user or a system in making an informed decision and improve the automated monitoring process. In this article, with wisdom city management as the application background, the inclinometer data as the research object, researching a kind of efficient data quality evaluation method based on sensor observations. And we propose a model to characterize such quality of information in a multisensory multimedia monitoring system in terms of certainty, accuracy/confidence and timeliness.
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Li, F., Wang, Y. (2015). The Data Quality Evaluation that Under the Background of Wisdom City. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_61
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DOI: https://doi.org/10.1007/978-3-319-23862-3_61
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