Convergence and Divergence in Academic and Industrial Interests on IOT based Manufacturing

被引：0
|
作者：
Radhakrishnan, Srinivasan [1 ]
Kamarthi, Sagar [1 ]
机构：
[1] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2016年
关键词：
Internet of Things; Cyber Physical Systems; Keyword Network; Cybermanufacturing; and Smart Manufacturing Introduction; CO-WORD ANALYSIS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The manufacturing industry is poised to embrace a major disruption due to the advent of Cyber-Physical Systems (CPS), or popularly known as Internet of Things (IOT). Recent past witnessed a hype phase where diverse set of industries recognized the transformational potential of IOT to amplify efficiencies and reduce costs. Today many organizations have are open to extracting business value from adoption of IOT solutions and some among them have already started implementing or implemented IOT projects at commercial scale. In this work we create a knowledge map of "IOT enabled manufacturing" in academics research and compare it with that in industry. We use keyword co-occurrence network (KCN) to map the connections between keywords appearing in academic work. Statistical properties of KCN enable us to compare academic and industrial direction in IOT enabled manufacturing.
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页码：2051 / 2056
页数：6
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