提高物联网传感器多源数据一致性的方法

Volodymyr Sokolov, F. Kipchuk, P. Skladannyi, O. Zhyltsov, D. Ageyev
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引用次数: 4

摘要

本文代表了对数据集执行数据一致性操作的重要性,这是可能的和必要的。通过物联网(IoT)设备和传感器产生大量数据,必须对所有电子数据进行组织和处理。本文中提出的方法可以帮助研究人员寻找处理数据的新领域,使其更加一致,并审查已经提出的,可能不是那么有效的方法。从现实生活的例子中学习,使用智能设备的效率,以及蜂窝或全球定位系统的覆盖范围,展示了许多令人兴奋和鼓舞人心的科学工作和实际成功的方法。本文旨在创建一种方法,将来自不同来源的数据组合起来,以获得最佳质量的结果数据。本文表明,我们处理和操作数据的来源不断增加,使正确和定性的处理变得至关重要。使数据更加一致和精确的研究方法将几乎一直存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for Increasing the Various Sources Data Consistency for IoT Sensors
The paper represents importance of performing data consistency operations with data sets, where it is possible and essential. Producing vast amounts of data by the Internet of Things (IoT) devices and sensors, all electronic data must be organized and processed. The approach presented in this paper may help researchers look for new areas of processing data, making it more consistent and reviewing already presented, maybe not so efficient methods. Learning from real-life examples, the efficiency of using smart devices, and the coverage of cellular or global positioning systems show many exciting and inspirational ways to work on science and practical success. This paper aims to create a method for combining data from different sources to obtain the best quality of the resulting data. The paper shows that we continue to increase number of sources to process and operate data, making it essential to process correctly and qualitatively. Researching approaches to make data more consistent and precise will be present almost all time.
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