Application of Improved DBSCAN Clustering Algorithm on Industrial Fault Text Data
Edge-assisted Viewport Adaptive Scheme for real-time Omnidirectional Video transmission
Guo Tao is a postgraduate student at Beijing University of Posts and Telecommunications，Beijing,China and received bachelor’s degree in communications engineering from Jilin University, Changchun, China,in 2017. His main research focus on immersive multimedia and machine learning.
Robotic Disassembly Sequence Planning Considering Robotic Collision Avoidance Trajectory in Remanufacturing
Binbin Chen received the Bachelor’s degree in communication engineering from Wuhan University of Technology,Wuhan,China, in 2018. He is currently pursing the information and communication engineering Master’s degree, Wuhan University of Technology, Wuhan, China. His research interests include robotic disassembly sequence planning, robotic collision avoidance, bee algorithm.
Digital Twin Enhanced Optimization of Manufacturing Service Scheduling for Industrial Cloud Robotics
I am Yongli Ma. I am currently pursing the information and communication engineering Master’s degree in Wuhan University of Technology, Wuhan, China.I am studying in Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks (Wuhan University of Technology), Wuhan, China.My research interests include manufacturing service scheduling, digital twin and industrial cloud robotics.
Edge-Cloud Collaborative Fabric Defect Detection Based on Industrial Internet Architecture
IoT- and blockchain-enabled credible scheduling in cloud manufacturing: a systemic framework
Yongkui Liu is an associate professor at Xidian University, Xi’an, China. He received his PhD from Xidian University in 2010. His research interests are presently focused on cloud manufacturing, intelligent scheduling of manufacturing systems, cloud robotics, and smart factory. He has published more than 40 scientific articles in archival journals, books, and peer-reviewed conference proceedings in the above research areas.His research work has won the best paper award in Auckland (2016).
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