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The Data Quality Evaluation that Under the Background of Wisdom City

机译:在智慧城市背景下的数据质量评估

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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.
机译:基于传感器的监控系统使用多个传感器,以便根据监视环境中发生的事件来识别高级信息。通过感觉媒体流的低级处理获得该信息,这些信息通常是嘈杂和不精确的,导致许多不期望的后果,例如不正确的数据或不完整的数据,数据不一致。因此,我们需要一种机制来计算传感器驱动信息的质量,该信息可以帮助用户或系统在制定明智的决定和改进自动化监视过程时。在本文中,智慧城市管理作为应用背景,倾斜度计数据作为研究对象,研究了一种基于传感器观测的高效数据质量评估方法。我们提出了一种模型,以便在确定性,准确性/置信度和及时性方面在多福音型多媒体监测系统中表征这些信息的质量。

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