A5042684815- Digital Transformation in Industry
- Industrial Technology and Control Systems
- Advanced Manufacturing and Logistics Optimization
- Advanced machining processes and optimization
- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Scheduling and Optimization Algorithms
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Optical measurement and interference techniques
- Image Processing Techniques and Applications
- Image and Object Detection Techniques
- Advanced Measurement and Detection Methods
- Service-Oriented Architecture and Web Services
- Metaheuristic Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Iterative Learning Control Systems
- Advanced Computational Techniques and Applications
- Cloud Computing and Resource Management
- Flexible and Reconfigurable Manufacturing Systems
- Collaboration in agile enterprises
South China University of Technology
2015-2024
Craft Group (China)
2022
Ionic Systems (United States)
2022
China University of Geosciences
2022
Guilin University of Electronic Technology
2022
Jilin University
2013-2016
State Key Laboratory of Automotive Simulation and Control
2013-2016
Zhoushan Hospital
2014
Guangdong Polytechnic Normal University
2012
Guangdong Polytechnic of Science and Technology
2012
Smart manufacturing (SM) is emerging as a new version of intelligent (IM), reflecting the magnitude and impact smart technologies such Internet Things, Cloud Computing, Cyber-Physical Systems Big Data on Industry 4.0. This paper addresses how IM evolves to SM along with artificial intelligence (AI) evolution. To this end, study first summarizes symbolic AI (called 1.0) characterized by structured contents centralized control structures into next-generation 2.0) unstructured contents,...
Tool breakage causes losses of surface polishing and dimensional accuracy for machined part, or possible damage to a workpiece machine. Condition Monitoring (TCM) is considerably vital in the manufacturing industry. In this paper, an indirect TCM approach introduced with wireless triaxial accelerometer. The vibrations three vertical directions (x, y z) are acquired during milling operations, raw signals de-noised by wavelet analysis. These features extracted time, frequency time-frequency...
With the increasing prosperity of additive manufacturing, 3D-printing shop scheduling problem has presented growing importance. The such a is imperative for saving time and cost, but hard to solve, especially simultaneous multi-part assignment placement. This paper develops an improved evolutionary algorithm application by combining genetic with heuristic placement strategy take into account allocation parts integrally. designed also enhance optimisation efficiency introducing initialisation...
This paper proposes a multi-objective hybrid artificial bee colony (MOHABC) algorithm for service composition and optimal selection (SCOS) in cloud manufacturing, which both the quality of energy consumption are considered from perspectives economy environment that two pillars sustainable manufacturing. The MOHABC uses concept Pareto dominance to direct searching swarm, maintains non-dominated solution found an external archive. In order achieve good distribution solutions along front,...
Manufacturing enterprises are socio-technical systems, which necessitate overall integration of not only the technical aspects from devices in shop-floor to enterprise resources planning vertically and product order shipment horizontally, but also social such as human interactions consumers' intentions. Moreover, there is a growing need use knowledge contexts. To meet needs, wisdom manufacturing (WM) emerging with advances Internet well intelligence. In this paper, most recently developed...
The future development of Industry 4.0 places paramount importance on human-centered/-centric factors in the production, design, and management logistic systems, which has led to emergence 5.0. However, effectively integrating logistics scenarios become a challenge. A pivotal technological solution for dealing with such challenge is distinguish track moving objects as humans goods. Therefore, an algorithm model combining YOLOv5 DeepSORT warehouse object tracking designed, where selected...
Abstract Deep learning methods have made remarkable strides in surface defect detection. But, they heavily rely on large amount of training data, which can be a costly endeavor, especially for specific applications like steel strip detection, where acquiring and labeling large-scale data is impractical due to the rarity certain defective categories production environment. Hence, realistic image synthesis greatly alleviate this issue. However, generation networks also demand substantial...
To consider the service-matching degree, composition harmony and service complexity in cloud manufacturing optimization problems, a new approach, called cloud-entropy enhanced genetic algorithm (CEGA), is put forward to solve such problems with multi-objectives.The definitions of corresponding calculation methods are given.A multi-objective mathematical model built.The task AGV (automated guided vehicle) taken as an example verify proposed CEGA on established model.The studied result shows...