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Using GM (1, 1) model to forecast the trend of research in Internet of Things

机译:使用GM(1,1)模型预测事物互联网的研究趋势

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A recent development in technology is the Internet of Things (IoT). This is seen to bean integrated part of Future Internet and maybe defined as; a dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols. In this paper, we forecast research trends expressed by the amount of research papers published in the digital libraries. GM (1, 1) model is used to predict the number of future research papers based on the previous years' summary. From the results we analyse the research popularity as well as to find out how GM (1, 1) deals with uncertain data sequence. The result shows that in the future, the interest of researchers in this field increase.
机译:最近技术的发展是事物互联网(IOT)。 这被视为蚕豆未来互联网的一部分,并且可能被定义为; 一种基于标准和可互操作的通信协议的自配置功能的动态全局网络基础架构。 在本文中,我们预测了数字图书馆发表的研究论文所表达的研究趋势。 GM(1,1)模型用于预测基于前几年的未来研究论文的数量。 从结果中,我们分析了研究人气,并找出了GM(1,1)如何处理不确定的数据序列。 结果表明,在未来,研究人员的利益增加。

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