USING GM (1, 1) MODEL TO FORECAST THE TREND OF RESEARCH IN INTERNET OF THINGS

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题名:	USING GM (1, 1) MODEL TO FORECAST THE TREND OF RESEARCH IN INTERNET OF THINGS
作者:	陳興忠;Chen, Hsing-Chung;Yagus Cahyadi;Rini Deviani;Tai-Wei Liu;Jyh-Horng Wen
贡献者:	資訊工程學系
关键词:	Internet of Things;Grey Theorem;GM (1, 1)
日期:	2012-03
上传时间:	2012-11-26 05:57:59 (UTC+0)
摘要:	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.
關聯:	The International Conference on Automatic Control and Artificial Intelligence (ACAI 2012)
显示于类别:	[資訊工程學系] 期刊論文

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