SNPD 2022-Winter Special Sessions
Special Session 1: Measured Signal Collection, Processing and Applications
With a rapid increasing industrialization progress in recent years, the collection and processing of various sensed signalshave played a crucial role in related automation fields. It has driven a big progress beyond traditional mechanization. The Industry 4.0 techniques even bring modern engineering into a new era. Therefore, more complex problems in such as automatization, robotics, mechatronics, measurement and control systems, etc. can be resolved using signal collection and processing algorithms more efficiently. Papers based on novel methodologies and implementations, creative and innovative automation system and integration engineering associated in this discipline are all welcome.
Special Session Organizer:
Prof. Hsiung-Cheng Lin, Email: hclin@ncut.edu.tw
National Chin-Yi University of Technology, Taiwan
List of Reviewers
Prof. Cheng-Siong Lee, Monash University, Australia
Prof. Ling-Ling Li, Hebei University of Technology, China
Prof. Ruey-Maw Chen, National Chin-Yi University of Technology, Taiwan
Special Session 2: Industrial Internet of Things Architecture, Security and Innovating Applications
In the past decade, with the advancement of ICT communication technology, Industry 4.0 has also transformed from manual control processes to automatic control processes. However, with the rise of Industry 4.0, it also drives the development of related research topics such as Industrial Internet of Things (IIoT), artificial intelligence, big data analysis, intelligent manufacturing, digital twin, cognitive intelligence and cyber-physical systems. Industry 4.0 also integrates ICT technologies to efficiently provide manufacturers and supply chain manufacturers with solutions and improve productivity to build smart factories.
However, at present, smart factories are not only related to the acquisition of production data and the digitization of related manufacturing processes, but also have a direct impact on the evolution of production lines and upstream and downstream supply chains. Most smart factories are based on the IIoT architecture framework model. Through IIoT model, smart factories can build heterogeneous network sensing devices and related networks (sensors, embedded computers, RFID tags, edge computing networks, mobile devices) to convey sensored information. Based on IoT information sensing and big data processing technology, IIoT can improve the time efficiency, scalability, interconnectivity, cost-effectiveness, security and operational efficiency of the IoT-based architecture. Under such a framework, an industrial automation feedback information system can be constructed through an intelligent network connection.
Papers based on novel methodologies and implementations, creative and innovative Industry 4.0 or Industrial Internet of things (IIoT) systems and integration engineering associated in this discipline are all welcome.
Special Session Organizer:
Ming-te Chen, Email: mtchen@ncut.edu.tw
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taiwan
Reviewers
Shiuan-Chao Huang, Department of Computer Science and Information Engineering, National Chin-Yi university of Technology, Taiwan
Chia-Chen Lin, Department of Computer Science and Information Engineering, National Chin-Yi university of Technology, Taiwan
Yi-Ying Chang, Department of Computer Science and Information Engineering, National Chin-Yi university of Technology, Taiwan