Proceedings 2018 Global Smart Industry Conference (GloSIC)

Chelyabinsk : IEEE, 2018.

The 2018 Global Smart Industry Conference is organized in order to exchange experience, promote discussion and presentation of research papers, and summarize results in development of innovative models, methods and technologies for the digital industry in universities, scientific and industrial associations of the Russian Federation as well as in foreign companies, and the experience of their implementation in large transnational and domestic industrial companies.

It will be held in Chelyabinsk, Russian Federation, on November 13-15, 2018.

The aim of the conference is to determine the prospects for the development of Smart Industry technologies, integration of industrial companies, scientific organizations and authorities to create promising technologies for the digital transformation of the industry.

Conference topics:

1. Condition monitoring and control for intelligent manufacturing
2. Industrial robotics
3. Components of and sensors
4. Wireless sensor and actuator networks
5. Digital Twins technologies
6. Additive manufacturing technologies
7. Big data, machine learning and artificial intelligence for Industry 4.0 management
8. Human-machine interaction in industrial systems
9. Security and privacy protection in industrial networks
10. Virtual and augmented realities for Industry 4.0
11. Cloud and high-performance computing for smart factory
12. Basic research for Industry 4.0
13. New educational technologies for Industry 4.0

Chapters

SUSU Supercomputer Resources for Industry and fundamental Science

Kostenetskiy P., Semenikhina P., , in: Proceedings 2018 Global Smart Industry Conference (GloSIC).: Chelyabinsk: IEEE, 2018. P. 1–7.

The supercomputers of South Ural State University are at the core of the University’s research performance. These facilities enable researchers to perform a broad range of computationally demanding tasks in the fields of engineering, natural and human sciences, and IT. The powerful capabilities of SUSU supercomputers are currently used for more than 250 research projects, ...

Added: November 25, 2019

Probabilistic Estimations of Increasing Expected Reliability and Safety for Intelligent Manufacturing

Rybas A., Kostogryzov A., Grigoriev L. et al., , in: Proceedings 2018 Global Smart Industry Conference (GloSIC).: Chelyabinsk: IEEE, 2018. P. 1–7.

In the near future the possibilities of the modern probabilistic models, artificial intelligence and machine learning methods can provide an intelligent support of making decisions by an operator in real time. An agile recovery of intelligent manufacturing integrity can be implemented owing to the development of industrial robotics. For intelligent manufacturing it means the expected ...

Added: June 23, 2020

Keywords: искусственный интеллект, машинное обучение, machine learning, большие данные, big data, cloud computing, sensors, artificial intelligence, промышленная робототехника, High-Performance Computing (HPC), Condition monitoring, Industrial robotics, Digital twins, Human-machine interaction, Мониторинг состояния технического оборудования