A5101726313- Manufacturing Process and Optimization
- Network Traffic and Congestion Control
- Internet Traffic Analysis and Secure E-voting
- Advanced Control Systems Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Software-Defined Networks and 5G
- Computational Fluid Dynamics and Aerodynamics
- Arctic and Antarctic ice dynamics
- Electric and Hybrid Vehicle Technologies
- Elevator Systems and Control
- Fault Detection and Control Systems
- Industrial Vision Systems and Defect Detection
- Fluid Dynamics and Turbulent Flows
- Coal Combustion and Slurry Processing
- Network Security and Intrusion Detection
- Effects of Vibration on Health
- Supercapacitor Materials and Fabrication
- Icing and De-icing Technologies
- Cavitation Phenomena in Pumps
- Cyclone Separators and Fluid Dynamics
- Railway Systems and Energy Efficiency
- Iterative Learning Control Systems
- Power Systems and Technologies
- Advanced Optical Network Technologies
- Traffic Prediction and Management Techniques
Wuhan University
2016-2025
University of Technology Sydney
2013
Glenn Research Center
2002
In automotive industry, the production line for assembling mechanical parts of vehicles must place and weld hundreds components on right positions platform. The accuracy deploying has great impact quality performance produced vehicle. To ensure assembly accuracy, a critical task in process is so-called dimension control. current state practice industries mainly based manual where experienced engineers use data to identify problems suggest solutions corrections fixture adjustment line. It an...
The assembly process of a car body-in-white (BIW) in body shop is very important link complete vehicle manufacturing process, and BIW dimension quality control the most part control. quality-related fixture fault diagnosis problem proposed smart loop [established BMW Brilliance Automotive company (BBA)] aiming to detect locating fault, which could seriously influence quality. This article introduces novel statistical method by combining Kalman filter generalized likelihood ratio test, making...
The ice accrued on airfoils can have enormously complicated shapes with multiple protruded horns and feathers. In this paper, several blocking topologies are proposed evaluated their ability to produce high-quality structured multi-block grid systems. A transition layer is introduced ensure that jaggedness the ice-surface geometry do not propagate into domain. This important for grid-generation methods based hyperbolic PDEs (Partial Differential Equations) algebraic transfinite...
The assembly process of car body in white (BIW) shop is a very important link the whole vehicle manufacturing process. Hundreds stamping parts must be located and joined on correct location platform, related accuracy influence performance quality cars. To guarantee BIW accuracy, dimension control critical task each automobile production line. In Comparison to traditional offline control, this article proposed an event-triggered feedforward predictive method realize real-time inline during...
In the network, accurately predicting network flow queuing delay is important for congestion control, bandwidth allocation, and performance improvement. order to improve QoS (quality of service) predict fine-grained in advance, A framework proposed this paper. We firstly perform real-time preprocessing on data packet, which acquired using In-band Network Telemetry (INT) technology, based Storm platform. Then we use Spark Streaming online prediction LSTM short-term model obtained by training...
For telecommunication operators, how to improve the utilization of bandwidth resources is always a problem which worthy study, nowadays, this issue has become more and important, since traffic load bursting in mobile Internet. So key solving that we need find kind model predict users need. According predicted allocate each base station dynamically. But consumption behavior single random, it difficult predict[1]. reason, based on reality that, when user moves, may get from different stations,...
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