A5101868813- High Temperature Alloys and Creep
- Fatigue and fracture mechanics
- Microstructure and Mechanical Properties of Steels
- Nuclear Materials and Properties
- Microstructure and mechanical properties
- Traffic Prediction and Management Techniques
- Material Properties and Failure Mechanisms
- Advanced machining processes and optimization
- Intermetallics and Advanced Alloy Properties
- Hydrogen embrittlement and corrosion behaviors in metals
- Network Security and Intrusion Detection
- Advanced Surface Polishing Techniques
- Landslides and related hazards
- Enhanced Oil Recovery Techniques
- Advanced materials and composites
- Neural Networks and Applications
- Tribology and Lubrication Engineering
- Electronic Packaging and Soldering Technologies
- Magnetic Bearings and Levitation Dynamics
- Additive Manufacturing Materials and Processes
- Tunneling and Rock Mechanics
- Internet Traffic Analysis and Secure E-voting
- Manufacturing Process and Optimization
- Advanced Machining and Optimization Techniques
- Petroleum Processing and Analysis
Northwest University
2019-2025
Zhejiang University
2011-2024
China Three Gorges Corporation (China)
2024
China Mobile (China)
2021-2023
South China University of Technology
2013-2023
China Academy of Space Technology
2019-2022
Chongqing University
2018
Northwest A&F University
2016
Jilin University
2015
Hunan University
2012
Topology impacts important network performance metrics, including link utilization, throughput and latency, is of central importance to operators. However, due the combinatorial nature topology, it extremely difficult obtain an optimal solution, especially since topology planning in networks also often comes with management-specific constraints. As a result, local optimization hand-tuned heuristic methods from human experts adopted practice. Yet, cannot cover global design space while taking...
With the rapid development of Internet Things technology, a large number devices are connected to Things, and at same time, network attacks security threats introduced. Intrusion detection system (IDS) is one effective methods for protecting network. rise artificial intelligence intrusion based on ML/DL widely applied. However, neural vulnerable adversarial perturbation. Most existing cannot guarantee basic function traffic data. In this paper, we propose an improved attack model Generated...
As a dominant distributed generation (DG), wind power turbines are expanding in the grid. However, when large-scale farms integrated with weak grid, it will change flow distribution, voltage profile which results profound influence on transient stability of It is important to study dynamic response characteristics generator case fault network assure secure and reliable operation farm, In this paper, A comparison reduced-order models made among three mainly used constant speed turbine (CSWT),...
The present work deals with the microstructure evolution during creep of P91 steel. In particular, changes prior austenite grain (PAG) and low-angle boundary (LAGB) were studied using electron backscatter diffraction (EBSD). Firstly, a series crept specimens steel prepared at 893 K under constant stress 145 MPa. Then, EBSD measurements these carried out. Subsequently, PAGs reconstructed successfully measured data, resultant distribution LAGBs was calculated. Consequently, obtained results...
In present work, the creep rupture life of 9% Cr heat-resistant steel (P91) was evaluated based on cavitation modelling. At 873 K, a series tests were carried out under stresses 140–190 MPa to achieve several sets ruptured specimens . The constrained and unconstrained models cavity growth introduced investigate behaviour P91 steel. obtained results showed that mechanism these mainly attributed ductile conditions. Besides, reasonable extrapolations calculated predict by combining different...
The creep rupture behaviours and microstructural changes of a modified 9Cr-1Mo heat-resistant steel were investigated at 853 K. Analysis results suggests that dislocation climb is the dominant deformation mechanism with true stress exponent 5 under present conditions. Based on analysis, strengthening contributions from M23C6 carbides MX carbonitrides clarified. can promote grain boundary by exerting Zener pinning forces, whereas enhance strength interacting mobile dislocations to induce...
Short-term precise prediction of network traffic can effectively help operators reasonably allocate resources, improve service quality and scheduling efficiency. Our model proposed in this paper uses dynamic parameters to adjust the predicted value refit sequence for short-term which is called Dynamic Modification Neural Network (DMNN) model. The architecture our consists a module, an adjustment module series re-fitting module. learns time closeness data before point. takes period...
With the increasing scale and automation of network attacks, traditional detection methods have been unable to meet demand for intrusion in current environment, we always face with scarcity label data environment. In view this situation, paper proposes a algorithm based on active semi-supervised learning, by setting minimum class-distance threshold learning highest classification then selecting unlabeled samples rich information content, which labeled added training set retrain model,...
Online transaction processing (OLTP) database systems provide an effective solution to data support for online applications with high concurrency and low latency. An interruption or performance degradation of OLTP may impact the availability services bring substantial economic loss. Thus, diagnosing issue timely mitigating it rapidly are essential administrators (DBAs). However, diagnosis is challenging due numerous abnormal metrics, complex failure propagation, high-performance...