|
|
New generation artificial intelligence-driven intelligent manufacturing (NGAIIM) |
|---|---|
| Author: | Li, Bohu1; Chai, Xudong2; Hou, Baocun3; |
| Organizations: |
1Beijing University of Aeronautics and Astronautics Beijing, China 2CASICloud Co. Ltd. Beijing, China 3Beijing Simulation Center, Beijing, China
4University of Oulu, Finland Oulu, Finland
5Hangtian Zhizao Co. Ltd. Beijing, China |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.8 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020042922935 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2018
|
| Publish Date: | 2020-04-29 |
| Description: |
AbstractIn order to embrace new generation artificial intelligence to upgrade manufacturing industry, we propose the concept of new generation artificial intelligence-driven intelligent manufacturing (NGAIIM), which is a new manufacturing paradigm integrating human/machine/environment/information into product lifecycle activities. First, we introduce new generation artificial intelligence. Second, we present NGAIIM connotation, NGAIIM architecture and its technology system. Then, we examine a NGAIIM use case — CASICloud. Finally, we provide suggestions for directing the NGAIIM development. see all
|
| ISBN: | 978-1-5386-9380-3 |
| ISBN Print: | 978-1-5386-9381-0 |
| Pages: | 1864 - 1869 |
| Article number: | 8560291 |
| DOI: | 10.1109/SmartWorld.2018.00313 |
| OADOI: | https://oadoi.org/10.1109/SmartWorld.2018.00313 |
| Host publication: |
4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 |
| Host publication editor: |
Loulergue, F. Wang, G. Bhuiyan, M. Z. A. Ma, X. Li, P. Roveri, M. Han, Q. Chen, L. |
| Conference: |
IEEE International Conference on Cloud and Big Data Computing |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Copyright information: |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |