Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67521
Title: Research on IoT based cyber physical system for industrial big data analytics
Authors: Lee, CKM 
Yeung, CL
Cheng, MN
Keywords: Internet of things
Big data
Context awareness
Cyberphysical system
Data analysis
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 6-9 Dec 2015, p.1855-1859 How to cite?
Abstract: The purpose of this paper is to provide a comprehensive solution for industry through research and development of an Internet of Things (IoT) based Cyber Physical System for Industrial Informatics Analytics with the following objectives. This study conducted a review regarding big data analytics in industry and designed a cyber physical system with the integration of various existing and proprietary data analytics systems based on their business needs so that themodules can be reconfigurable and interchangeable. The paper designs a new context intelligence framework to handle industrial informatics regarding location, sensor and unstructured data for big data mining. A case study isused to illustrate the concept of the proposed cyberphysical system. Further study on system integration and migration from existing factories to smart factories should be conducted so as to realize the next industrial paradigm shift.
URI: http://hdl.handle.net/10397/67521
ISBN: 978-1-4673-8066-9 (electronic)
978-1-4673-8065-2 (USB)
DOI: 10.1109/IEEM.2015.7385969
Appears in Collections:Conference Paper

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