A5034415219- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Industrial Technology and Control Systems
- Flexible and Reconfigurable Manufacturing Systems
- Fault Detection and Control Systems
- Online Learning and Analytics
- Industrial Vision Systems and Defect Detection
- Technology Assessment and Management
- Advanced Manufacturing and Logistics Optimization
- Advanced Decision-Making Techniques
- Collaboration in agile enterprises
- Advanced Control Systems Optimization
- Scheduling and Optimization Algorithms
- Energy Efficient Wireless Sensor Networks
- Cloud Data Security Solutions
- Advanced Algorithms and Applications
- Education and Vocational Training
- Open Source Software Innovations
- Sensorless Control of Electric Motors
- Engineering Technology and Methodologies
- Smart Grid and Power Systems
- Robot Manipulation and Learning
- Rocket and propulsion systems research
- Evaluation and Optimization Models
- Building Energy and Comfort Optimization
Chongqing University
2016-2025
Institute of Geology and Geophysics
2023
Chinese Academy of Sciences
2023
State Key Laboratory of Mechanical Transmission
2021-2022
Yunnan Earthquake Prevention and Disaster Reduction
2021
Metallurgical Corporation of China (China)
2020
Shenzhen University
2020
Brock University
2015-2019
Xinxiang Medical University
2006-2017
Development Research Center
2016
Due to the wide distribution and high energy-saving potential of industrial robots, energy optimization techniques robots attract increasing attention. Dynamic time-scaling methods can optimize consumption only by stretching or shrinking reference trajectories in time dimension. show advantages over other because achieve savings without hardware investment. Traditional dynamic need search possible state transitions from initial configuration final obtain optimal solution. The integration...
Clustering technique is an effective topology control approach which can improve the scalability and lifetime in wireless sensor networks (WSNs). LEACH a classical clustering algorithm for low energy scheme, however, it still have some deficiencies. This paper studies protocol, put Improved protocol has more reasonable set-up phase. In cluster heads election phase, we ratio competition distance as two elements to join head election. Simulation results demonstrate that better balance prolong...
A rapidly deployable dense seismic monitoring system which is capable of transmitting acquired data in real time and analyzing automatically crucial hazard mitigation after a major earthquake. However, it rather difficult for current nodal stations to transmit an extended period time, usually takes great amount process the manually. To monitor earthquakes flexibly, we develop mobile integrated consisting newly developed units with 4G telemetry real-time AI-assisted automatic processing...
The existing researches on flexible job shop scheduling problem (FJSP) mainly focus the processing process of jobs and neglect quality inspection completed jobs. However, is uncertain results are dynamic, so that crucial to reduce flow unqualified next manufacturing units or customers. Hence, a mathematical model formulated for dynamic with (FJSPI). An effective two-stage memetic algorithm (ETMA) developed solve proposed FJSPI. In ETMA, multi-neighborhood search operator (MSO) comprising...
The stress corrosion cracking is the central issue for high-strength wires under high tensile used in civil engineering. This paper explores resistance of three typical steel carbon through a laboratory test, combining actions and corrosive solution. Besides, impact immersion time are also investigated. During tests, were subject to electrochemical measurements potentiodynamic polarization impedance spectroscopy, microstructure analysis was performed on fractured cross sections. obtained...
Cloud manufacturing (CMfg), combining the idea and technologies of cloud computing Internet Things, is an emerging service-oriented model. The supply–demand matching resources one key for implemention. However, in CMfg system are geographically distributed, functional similar dynamically changeable, these features make it difficult to obtain higher accuracy existing methods. In order select most satisfied CMfg, a semantics-based classification method (SDCM) proposed. Firstly, implementing...
Cloud manufacturing is an emerging model that applies some concepts and technologies of cloud computing, in which massive resources are offered over the internet as on-demand, personalized customization services. While one technology bottlenecks this estimation trust value for resources, especially a various number machine tools (MTs). In paper, statistical index system MTs developed to quantify environment. An method based on TOPSIS proposed obtain real-time statistic MTs. Finally,...
In current manufacturing shop floor, the diversity of CNCs' interfaces and communication protocols makes it extremely challenging for managers to collect device data monitor their states. To allow existing machine tools be easily connected monitored by a "plug play" way, this paper proposes monitoring system CNCs based on MTConnect, describes implementation MTConnect protocol in proposed detail. The includes establishing information model according standard, collecting processing from...
Due to high compliance and adaptiveness, soft robots show more advantages than traditional rigid in grasping irregularly shaped or fragile objects. Moreover, attract increasing attention as are adopted unstructured human–robot interaction environments. However, during the process, most need constant input stimuli maintain configurations, which directly induces low energy efficiency. This article demonstrates self-stable property of dual-chamber structure, can bending deformation without...