A5102816951- Microgrid Control and Optimization
- Hepatocellular Carcinoma Treatment and Prognosis
- Wind Turbine Control Systems
- Railway Systems and Energy Efficiency
- Frequency Control in Power Systems
- Power Systems and Renewable Energy
- Islanding Detection in Power Systems
- Radiomics and Machine Learning in Medical Imaging
- Stochastic Gradient Optimization Techniques
- Electric and Hybrid Vehicle Technologies
- Higher Education and Teaching Methods
- Advanced Multi-Objective Optimization Algorithms
- Cryptography and Data Security
- HVDC Systems and Fault Protection
- Smart Grid and Power Systems
- Integrated Energy Systems Optimization
- Simulation and Modeling Applications
- Power System Optimization and Stability
- COVID-19 epidemiological studies
- MRI in cancer diagnosis
- Energy Load and Power Forecasting
- COVID-19 Pandemic Impacts
- Educational Technology and Assessment
- Fault Detection and Control Systems
- Control Systems and Identification
Zhejiang University
2022-2024
Jiangxi University of Science and Technology
2021-2023
Southwest Jiaotong University
2019-2022
Taizhou University
2008-2013
In December 2019, corona virus disease 2019 (COVID-19) has broken out in China. Understanding the distribution of at national level contributes to formulation public health policies. There are several studies that investigating influencing factors on COVID-19 However, more need be considered improve our understanding about current epidemic. Moreover, absence effective medicine or vaccine, Chinese government introduced a series non-pharmaceutical interventions (NPIs). assessing and predicting...
To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features one-month treatment response after TACE. A total of 108 patients with 160 hCCs from single-arm, multicenter clinical trial (NCT03113955) were analyzed served as the training cohort. An external dataset (ChiCTR2100046020) consisting 63 99 test dataset. Radiomics was constructed based on selected MR images. Univariate multivariate logistic regression analysis radiological...
Electrical railway harmonic instability issues are common in the high-frequency range. The effective frequency of traditional converter's small-signal averaging model is below 1/2 switching since pulse width modulation (PWM) sideband components ignored. In this article, dynamic propagations perturbation and generated PWM constructed first. Then locomotive rectifier's multi-frequency input-admittance derived appropriately. Afterward, an admittance conversion approach used to convert into...
LI-RADS Treatment Response Algorithm (TRA) version 2024 (v2024) introduced separate algorithms for detecting hepatocellular carcinoma (HCC) viability after radiation and nonradiation locoregional therapies (LRT). The algorithm incorporated MRI-based ancillary features to optionally upgrade lesions from LR-TR Equivocal Viable.
Particle swarm optimization (PSO) algorithms have been successfully used for various complex problems. However, balancing the diversity and convergence is still a problem that requires continuous research. Therefore, an evolutionary experience-driven particle with dynamic searching (EEDSPSO) proposed in this paper. For purpose of extracting effective information during population evolution, adaptive framework experience presented. And based on framework, experience-based neighborhood...
Harmonic stability of double-fed induction generators (DFIGs) now has become a significant topic because its harmful impact on power quality issues the system. Since double pulse width modulation (PWM) converter is one main harmonic sources in DFIGs, it may cause instability with increasing contents. Thus, modeling and analyses PWM converters DFIGs are essential steps to assess DFIGs. Aiming at dual converters, which include grid side (GSC) rotor (RSC), this paper divides into two parts:...
Machine learning technologies have been applied to improve the real-time performance of small-signal stability (SSS) assessment, while achieving a high accuracy requires numerous samples, and model may degrade if not updated over time. Furthermore, single models tend learn general features without analyzing specific characteristics within which lead frequency large errors, particularly at operating points (OPs) where eigenvalue trajectories sudden changes. Facing such issues, this paper...
Abstract Continuous fault ride‐through (CFRT) issues often arise in wind power systems. CFRT results continuous voltage fluctuations which is characterized by “initially decreasing and then increasing” can significantly disrupt the normal operation of To mitigate related problems, one approach utilization energy storage (ES) based dynamic restorers (DVRs). Nevertheless, prohibitive costs substantial ES requirements hamper practical implementation. In this article, a control scheme...
Federated learning is a method of distributed machine based on privacy protection, which characterized by large number heterogeneous clients, and often these clients have great differences in communication computation capabilities, such as servers smartphones. In this work, we propose new federated algorithm named AAFL, asynchronous can adaptively assign training models the capabilities different to solve efficiency problems caused clients. Our proposed solution with computational complexity...
Electrical resonance instability (ERI) phenomenon has frequently occurred near the frequency of traction network in heavy-duty railways system. Since effective range small-signal average model is lower than 1/2 switching frequency, to analyze ERI, this paper first analyzes sampling and PWM process detail. Then, a multi-frequency locomotive rectifier that considers sideband harmonics derived. The passive criterion used stability Finally, influence control delay on input-admittance revealed....
Abstract Low‐frequency oscillation, harmonic oscillation and instability issues in railway vehicle‐grid systems pose challenges to the system stability safe operation. Previous studies constructed linear time‐invariant impedance model of system, which ignored internal frequency coupling loss accuracy. To fill this gap, modelling method based on linearisation is proposed. The derived provides a clear physical insight into relations between ac dc variables improves Then, systematic analysis...
To enable renewable energy sources (RES) to better and more efficiently assist traditional generators in attending the automatic generation control (AGC), firstly, power plants storage systems (ESSs) are formed as aggregated unit (AGU). Secondly, a real-time mesh adaptive multi-objective optimization algorithm (MA-MO) calculation is proposed. The proposed combines simulation MA-MO results based on future load disturbance prediction data. Then optimal allocation ratio of AGC instructions...
Continuous fault ride-through (CFRT) of wind turbines (WTs) requires WTs to go through continuously from a low voltage stage high which has different dynamic process compared with single ride-through. And CFRT long duration. One the solutions alleviate mentioned problems is restorer (DVR). However, expensive cost and large storage requirement energy system (ESS) in dc link hamper practical implementation DVRs. To avoid this drawback, paper presents novel control consisting adaptive mode...
Machine learning technology is implemented to small-signal stability (SSS) assessment in recent years, while it normally requires numerous samples reach a high accuracy and the error may go large if data-driven model does not update over time. Face such issues, this paper presents framework track rightmost eigenvalue (RE) online that critical assessing SSS based on model. During sliding time window of tracking, concept reference point (RPs) are introduced improve RE prediction. After...
Ciphertext-Policy Attribute-Based Encryption technology binds ciphertext to attribute sets, which can realize fine-grained access control centered on data users. At present, research encryption mostly focuses ordinary data, and there is no multimedia such as images. Therefore, an image-oriented (CP-ABE) scheme proposed. Firstly, the image processed by wavelet decomposition, four groups of coefficient matrices are obtained, will be scrambling encrypted respectively, then obtained through...