A5100652055- Gas Sensing Nanomaterials and Sensors
- Photovoltaic System Optimization Techniques
- Analytical Chemistry and Sensors
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- Transition Metal Oxide Nanomaterials
- Microgrid Control and Optimization
- Advanced Chemical Sensor Technologies
- Power Systems and Renewable Energy
- Electric Vehicles and Infrastructure
- Advanced Algorithms and Applications
- Smart Grid Energy Management
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Advanced Sensor and Control Systems
- Advancements in Battery Materials
- Supercapacitor Materials and Fabrication
- Machine Fault Diagnosis Techniques
- Advanced battery technologies research
- Robotics and Sensor-Based Localization
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Optical Polarization and Ellipsometry
- Conducting polymers and applications
- Fault Detection and Control Systems
Chinese Academy of Sciences
2018-2025
Institute of Coal Chemistry
2018-2025
Hangzhou Dianzi University
2018-2025
Gansu Provincial Hospital
2025
China Meteorological Administration
2024-2025
Zhejiang University
2015-2024
Taizhou University
2018-2024
Sichuan University
2024
China Foreign Affairs University
2023
Zhejiang Lab
2021
The integration of a massive number small-scale wind turbines and plug-in electric vehicles (PEVs) brought about urgent technical challenge to power distribution network operators (DNOs) in terms secure supply energy dispatching optimization. In this paper, we exploited three coordinated wind-PEV approaches the vehicle-to-grid (V2G) context, i.e., valley searching, interruptible variable-rate dispatching, aiming promote user demand response through optimizing utilization efficiency...
The efficient condition monitoring and accurate module defect detection in large-scale photovoltaic (PV) farms demand for novel inspection method analysis tools. This paper presents a deep learning based solution pattern recognition by the use of aerial images obtained from unmanned vehicles. convolutional neural network is used machine process to classify various forms defects. Such supervised can extract range features operating PV modules. It significantly improves efficiency accuracy...
The asset assessment and condition monitoring of large‐scale photovoltaic (PV) systems spanning over a large geographical area has imposed urgent challenges demands for novel efficient inspection paradigm. In this study, an automatic UAV‐based system is presented implemented defect detection PV systems. Two typical visible defects modules, snail trails dust shading, are characterised the through image processing algorithms based on first order derivative Gaussian function feature matching...
Condition monitoring and fault diagnosis of photovoltaic modules are essential to ensure the efficient reliable operation large-scale plants. This article presents an algorithmic solution for rapid sensitive detection with multiple visible defects by image analyzing apparatus mounted onto unmanned aerial vehicle. The proposed is composed three stages efficiently accurately analyze various forms module defects. First, Kirsch operator employed identify anomalous regions, which can...
Trimethylamine (TMA) sensors based on metal oxide semiconductors (MOS) have drawn great attention for real-time seafood quality evaluation. However, poor selectivity and baseline drift limit the practical applications of MOS TMA sensors. Engineering core@shell heterojunction structures with accumulation depletion layers formed at interface is regarded as an appealing way enhanced gas sensing performances. Herein, we design porous hollow Co3O4@ZnO cages via a facile ZIF-67@ZIF-8-derived...
In this study, a simple and cost-effective metal oxide semiconductor (MOS) gas sensor, which can be fabricated utilizing only two photolithography steps, was designed developed through the planar microelectromechanical systems (MEMS) technique. Ball-milled porous tin dioxide nanoparticle clusters were precisely drop-coated onto integrated microheater region subsequently characterized using helium ion microscope (HIM). The spatial suspension of silicon nitride platform over substrate provides...
The emerging advancements in gas sensing technology present an ongoing challenge achieving the selective detection of hydrogen ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{H}_{{2}}{)}$ </tex-math></inline-formula> and ammonia (NH notation="LaTeX">$_{{3}}{)}$ gases while allowing for adjustable discrimination. Alternative to conventional isothermal methods, we propose a facile pulsed heating...
The integration of a massive number plug-in electric vehicles (PEVs) into current power distribution networks brings direct challenges to network planning, control, and operation. To increase the PEV penetration level with minimal negative impact, dynamical travel behaviors charging demand need be better understood. This paper presents Markov-based analytical approach for modeling demand. individual PEVs are expressed mathematically through Monte Carlo simulation considering two essential...
Abstract This study introduces a novel approach in the realm of liquid biopsies, employing 3D Mueller-matrix (MM) image reconstruction technique to analyze dehydrated blood smear polycrystalline structures. Our research centers on exploiting unique optical anisotropy properties proteins, which undergo structural alterations at quaternary and tertiary levels early stages diseases such as cancer. These manifest distinct patterns microstructure dried droplets, offering minimally invasive yet...
A facile solution reduction method of NaBH 4 was developed to modulate the oxygen vacancies ZnO nanosheets. The sample with richer exhibits a lower working temperature (150 °C) great response (38.2).
Landslide susceptibility mapping (LSM) is crucial for disaster prevention in large, complex regions characterized by high-dimensional data. This study proposes a Feature-Selecting Long Short-Term Memory (FS-LSTM) framework to enhance LSM accuracy integrating feature selection techniques with sequence-based modeling. The Mean Decrease Impurity (MDI) and Information Gain Ratio (IGR) were used rank landslide conditioning factors (LCFs), these rankings structured FS-LSTM inputs assess the impact...
To evaluate the efficacy and safety of esketamine-based patient-controlled intravenous analgesia following total hip arthroplasty. A 135 arthroplasty patients were randomly assigned to one three treatment groups: esketamine, sufentanil or continuous fascia iliaca compartment block (FICB) group. The primary endpoint was postoperative visual analogue scale (VAS) pain scores at rest on movement. Secondary endpoints included preoperative 1-day 7-day Self-Rating Anxiety Scale (SAS) Depression...