CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

By Fei Tao, Ying Cheng, Lida Xu, Lin Zhang, Bowen Li. IEEE Transactions on Industrial Informatics, 2014

673 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/cf9cf28fb78d22ba43452b7a3ebe3ae6e21d4932

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Fei Tao
2. Lin Zhang
3. Lida Xu
4. Shancang Li
5. Qinglin Qi
6. Shanshan Zhao
7. Ying Zuo
8. Ying Cheng

In Industrial and Manufacturing Engineering

1. Fei Tao
2. Qinglin Qi
3. Andrew Yeh-Ching Nee
4. Ying Cheng
5. Kai-Jian Bai
6. Bin He
7. Lin Zhang
8. Lida Xu

Citations in the corpus

• The Role of Big Data Analytics in Industrial Internet of Things (2019, positive): “The integration of CPS and IoT devices results in massive back-end cloud service utilisation for the execution of BDA processes [48].”
• A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “becomes unacceptable for data analysis and control decision making [83], [84].”
• Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing (2019, background): “These include generic technologies such as the Industrial Internet, cloud platforms, and industrial big data [12,51,52,71,79,90], as well as technologies that are required to achieve system integration, management, and decision-making, such as enterprise-level intelligent decision-making technologie”
• IoT-based real-time production logistics synchronization system under smart cloud manufacturing (2015, background): “Tao et al. [24, 25] not only give a new parallel intelligent algorithm to solve the service combination optimization problem but also outline a systematic service framework integrating both cloud computing and IoT to realized the effective sharing, cost calculation, and on-demand allocation of CM…”
• The internet of things: a survey (2014, background): “…of technologies are involved in IoT, such as wireless sensor networks (WSNs), barcodes, intelligent sensing, RFID, NFC, low energy wireless communications, cloud computing, and so on (Jiang et al. 2014; Kataev et al. 2013; Li et al. 2013a; Ren et al. 2012; Tao et al. 2014a, b; Wang et al. 2014).”
• A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019, background): “INTRODUCTION With the rapid development and application of the new generation of commutation and information technology [1], smart manufacturing has grown rapidly, and becomes increasingly automatic, digital, and intelligent.”
• A fast and robust convolutional neural network-based defect detection model in product quality control (2017, methodology): “With the rapid development of computer technology and the expansion of its application fields [5, 6], computer vision has been successfully applied in the quality inspection of various industrial products, including steel slabs, glass products, fabrics, polycrystalline solar wafers, and so on.”
• Digital twin-based sustainable intelligent manufacturing: a review (2020, methodology): “[162] proposed a cloud manufacturing service system and a framework based on the IoTs and cloud computing.”
• IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (2014, background): “…have been widely used for water resource management [43], people with disabilities [40], supply chain [41], [42], [75], in-home health care [44], enterprise information systems [45], life cycle assessment of energy-saving and emission-reduction of products [81], cloud computing [46], and CMfg [82].”
• The internet of things in healthcare: An overview (2016, background): “Successful implementations of Cloud Computing can be found in various fields [82,83] .”
• New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics (2019, background): “Services bridge the gap between real production activities and logical collaboration [32], which can promote”
• Toward New-Generation Intelligent Manufacturing (2018, background): “The intelligent manufacturing cloud and the Industrial Internet are the foundation that support new-generation intelligent manufacturing [9,20,31,44,66,67].”