- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Chaos control and synchronization
- Target Tracking and Data Fusion in Sensor Networks
- Anomaly Detection Techniques and Applications
- Advanced Algorithms and Applications
- Control Systems and Identification
- Time Series Analysis and Forecasting
- Reliability and Maintenance Optimization
- stochastic dynamics and bifurcation
- Advanced Battery Technologies Research
- Mineral Processing and Grinding
- Risk and Safety Analysis
- Optimal Power Flow Distribution
- Power Systems Fault Detection
- Statistical Methods in Epidemiology
- Advanced Control Systems Optimization
- Power Systems and Renewable Energy
- Structural Health Monitoring Techniques
- Nonlinear Dynamics and Pattern Formation
- CRISPR and Genetic Engineering
- Human Pose and Action Recognition
- Forecasting Techniques and Applications
- RNA Interference and Gene Delivery
- Hydraulic and Pneumatic Systems
Central South University
2024
Chongqing University
2022-2024
Xinqiao Hospital
2024
Northeastern University
2017-2019
Southeast University
2018
Wuhan University
2018
Tianjin University
2014
Harbin Engineering University
2010
Concordia University
2010
RNA imaging in live cells can provide comprehensive information on the expression, localization, degradation, storage, and regulation of cells, which is crucial for basic biology clinical research. Our previous research finds that slicing facilitated crRNA typical CRISPR/Cas12a system at a fitted site did not affect its trans-cleavage activity, was previously reported to be triggered by targeted ssDNA or dsDNA, mini crRNA-mediated (MCM-CRISPR/Cas12a) proposed. Here, we further apply it...
To overcome the sensor system problem of fault diagnosis and signal recovery for autonomous underwater vehicle (AUV), a method based on strong tracking filter (STF) theory singer model first order time correlation function was proposed. The STF-Singer by combining processing STF dose not need accurate mathematical controlled plant, it has good identification capacity AUV faults. Computer simulations using experimental data from an sea trail show that proposed is effective feasible.
Variational mode decomposition (VMD) has been widely applied in sensors. However, the number and balance parameter seriously limit VMD application. To solve this problem, study proposes a novel method, which combines an improved energy fluctuation index (IEFI) modified (MVMD). In proposed IEFI provided better performance to resist interference from random impulses by considering periodicity of fault feature components. Consequently, it is determine initial center frequency for MVMD, fixed...
With the rapid development of virtual reality technology, shortcomings conventional real equipments maintenance training can be remedied by adopting technology. This paper reviews significance and status based on including basic functions module design system, such as construction principle learning module, component level dismantlement assemble decomposability combining, fault check removing control examining etc. The data necessary to realize system are identified how obtain these is...
This paper proposes an improved correlation-based just-in-time modeling method, referring to as the ICoJIT, for improving prediction accuracy and real-time performance of conventional (CoJIT) method. To achieve this objective, a novel adaptive local domain partition method has been developed based on moving window technique fitting precision, which takes into account input output information simultaneously potentially capabilities obtaining optimal adaptively capturing new process states by...
This paper focuses on the coordinated strategy of protection and automatic control devices to improve power supply reliability for distribution network with distributed generation (DG). The impact DG reclosing (AR) bus transfer (ABT) in is analyzed. Each feeder where connected recommended configure AR ability. In substation region, inlet line at 110kV level has be improved configured longitudinal differential protection. Finally, order take full advantage wide-area information make work...
Time Series Classification (TSC) is an essential task in Data (TSD) analysis. Ensemble-based approaches now achieve the best performance on TSC tasks. However, integrating numerous different models makes them highly suffer from heavy preprocessing. Even worse, non-deep-learning ensemble-based methods substantial computational costs due to lacking GPU acceleration. Multi-scale information TSD can improve performance. Existing classifiers employing multi-scale struggle with preprocessing and...
Emerging CRISPR/Cas12a system is receiving increasing attention in the field of biological analysis, especially nucleic acid testing. However, due to need for recognize single-stranded or double-stranded DNA under mediation crRNA activate its trans-cleavage activity, direct detection RNA limited. Here, we prospectively find that slicing facilitated typical at a fitted site did not affect and mini crRNA-mediated (MCM-CRISPR/Cas12a) was proposed based on this. To expand application this...
Energy storage is the key support for new energy power generation, peak shaving, transmission and use. Therefore, development of composite systems in great significance. In this paper, an optimal configuration model system designed wind solar a two-layer decision-making constructed to consider economic benefits battery life upper layer charging discharging strategy lower layer, so as optimize overall framework system. To reduce its full cycle cost much possible improve reliability economy...
State estimation is crucial for many engineering applications, whereas strong and unknown measurement noise bring huge challenges to it. There an overwhelming need investigate the state problem systems subject Gaussian non-Gaussian in one unified framework. Motivated by inspired immunity of chaos system, a kind scheme based on adjusted fractional-order system designed. A theorem how set parameters order are proposed proofed. To perform estimation, external signal two added its dynamics under...