Research on ship intelligent manufacturing data monitoring and quality control system based on industrial Internet of Things-Reference-Cited by-同舟云学术

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Research on ship intelligent manufacturing data monitoring and quality control system based on industrial Internet of Things

Published:2019-08-06 Issue:3-4 Volume:107 Page:983-992
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Xiang Chao,Li Baoren

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-019-04208-w.pdf

Reference14 articles.

1. Ding G, Wu Q, Zhang L, Yun L, Tsiftsis TA, Yao YD (2018) An amateur drone surveillance system based on the cognitive internet of things. IEEE Commun Mag 56(1):29–35

2. Kokkonis G, Psannis KE, Roumeliotis M, Dan S (2017) Real-time wireless multisensory smart surveillance with 3d-hevc streams for internet-of-things (iot). J Supercomput 73:3): 1–3):19

3. Park DH, Min OG, Lee YJ (2017) Scalable architecture for an automated surveillance system using edge computing. J Supercomput 73(3):1–14

4. Harm G, Marlene A, Torkild E, Vincenzo G (2016) Completeness and accuracy of a wide-area maritime situational picture based on automatic ship reporting systems. J Navig 69(1):156–168

5. Goerlandt F, Montewka J, Kuzmin V, Kujala P (2015) A risk-informed ship collision alert system: framework and application. Saf Sci 77(1):182–204

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