- Photoreceptor and optogenetics research
- Molecular Communication and Nanonetworks
- Smart Grid Energy Management
- Robotic Path Planning Algorithms
- Atomic and Subatomic Physics Research
- Nonlinear Dynamics and Pattern Formation
- High-Voltage Power Transmission Systems
- Power Systems Fault Detection
- Adaptive Control of Nonlinear Systems
- Frequency Control in Power Systems
- Ferroelectric and Negative Capacitance Devices
- Microgrid Control and Optimization
- Advanced DC-DC Converters
- Optimization and Packing Problems
- Elevator Systems and Control
- Guidance and Control Systems
- Electric Vehicles and Infrastructure
- Electricity Theft Detection Techniques
- Integrated Energy Systems Optimization
- Granular flow and fluidized beds
- Magnetic Properties and Applications
- Generative Adversarial Networks and Image Synthesis
- Induction Heating and Inverter Technology
- 3D Surveying and Cultural Heritage
- Vehicle Routing Optimization Methods
Zhejiang Sci-Tech University
2025
Huazhong University of Science and Technology
2024
State Key Laboratory of Advanced Electromagnetic Engineering and Technology
2024
Tsinghua University
2023-2024
North China Electric Power University
2021-2024
Chongqing University
2024
Zhejiang University
2023-2024
University of Glasgow
2024
Shijiazhuang Tiedao University
2024
Guangdong Technion-Israel Institute of Technology
2024
Single-cell analysis is pivotal to deciphering complex phenomena like heterogeneity, bistability, and asynchronous oscillations, where a population ensemble cannot represent individual behaviors. Bulk cell-free systems, despite having unique advantages of manipulation characterization biochemical networks, lack the essential single-cell information understand class out-of-steady-state dynamics including cell cycles. Here, by encapsulating Xenopus egg extracts in water-in-oil microemulsions,...
For China, one of its most important commitments is to realize “3060” targets achieving a CO<inf>2</inf> emission peak by 2030 and carbon neutrality 2060. However, for developing country with heavy utilization, in short period necessitates tough changes. This paper briefly introduces energy electricity scenarios analyzes the challenges based on current power system China. Moreover, it summarizes six characteristics China's future grid highlights some partially...
With integration of large-scale renewable energy, new controllable devices, and required reinforcement power grids, modern systems have typical characteristics such as uncertainty, vulnerability openness, which makes operation control grids face severe security challenges.Application artificial intelligence (AI) technologies represented by machine learning in grid regulation is limited reliability, interpretability generalization ability complex modeling.Mode hybrid-augmented (HAI) based on...
High-performance control valves are essential components in power plants. High-parameter specialized for controlling high-pressure, high-flow, high-temperature, and highly corrosive media. Control valve performance is critical the stable operation of The multi-stage counter-flow passage a common structure pressure-reducing valves, effectively mitigating cavitation erosion on walls. However, practice, vibration issues particularly pronounced. This study employs FSI (fluid–structure...
Abstract We theoretically investigate the generation and manipulation of pure spin current in a zigzag graphene nanoribbon with quantum pumping effect, where magnetized bearded is inserted into nanoribbon. It found that polarized can be generated for nonzero Fermi energy while will occur zero singleparameter pumping. However, independent driving frequency AC field easily modulated by tuning or phase difference two-parameter Moreover, &#xD;pumped has cosine function relationship respect...
In this work, we identify the potential challenges of ambipolar ferroelectric field effect transistor (FeFET) in building a single CAM array to perform parallel hamming distance (HD) computations. The asymmetry two current branches an FeFET, such as different subthreshold swing (SS) and ON state <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${I}_{\mathrm{ ON}}$ </tex-math></inline-formula> , on...
While hair is an essential component of virtual humans, it also one the most challenging digital assets to create. Existing automatic techniques lack generality and flexibility create rich variations, while manual authoring interfaces often require considerable artistic skills efforts, especially for intricate 3D structures that can be difficult navigate. We propose interactive modeling system help complex hairstyles in minutes or hours would otherwise take much longer with existing tools....
Rotating drum experiments on binary mixtures of plastic spheres with wood spheres, cylinders, and cubes were investigated, respectively. A high-resolution camera was employed to record the flow behaviors mixtures. machine learning-assisted image processing method developed segment particles different shapes, its superiority demonstrated by comparing results pixel artificial counting methods. This used analyze images recorded from mixture explore effects rotating speed, particle shape,...
The exploitation and utilization of clean energy such as wind photovoltaic power plays an important role in the reduction carbon emissions to achieve goal "emission peak neutral", but a quantity accessing electric system will foster transition structure. intelligentization equipment be inevitable trend development. High breaking performance, remote control digital detection platform miniature circuit breaker, protective distribution system, have also been requirements Iot system. Based on...
Abstract The principle and operation of the VIENNA rectifier is examined mathematical model developed. To address issue that three-phase rectifier’s double PI controller finds it challenging to attain both rapidity accuracy, a closed-loop control approach consisting inner loop quasi-proportional resonant (QPR) outer created. Aiming at problems inrush current on grid side DC bus voltage overshoot caused by in startup process, paper makes theoretical analysis designs soft strategy. Then,...
UAVs are increasingly prominent in the competition for space due to their multiple characteristics, such as strong maneuverability, long flight distance, and high survivability. A new online safe control method based on constrained reinforcement learning is proposed intelligent safety of UAVs. This adopts policy optimization main framework develops a algorithm with extra budget, which introduces Lyapunov stability requirements limits rudder deflection loss ensure improves robustness...
In addressing the privacy and voltage issues in coordinated optimization of distribution grid, research first employs a federated learning framework with distributed photovoltaic (PV) sources for cooperative optimization. Through use constraint strategies, solution is optimized. Subsequently, battery energy management electric vehicles utilized, coupled adjustments to power output PV arrays, actively control grid. The results indicate that, terms protection, algorithm based on avoids local...
Pressure ulcers (PUs) pose a significant challenge in the care of bedridden patients, to which automated tilt nursing beds have emerged as promising solution. However, lack effective models elucidate mechanical responses deep tissue during assisted repositioning and identify optimal angle has hindered implementation automatic systems for long-term patients. Therefore, this study developed novel computational model that integrates buttocks with support mattress simulate repositioning, thereby...
We propose SC-MCTS*: a novel Monte Carlo Tree Search (MCTS) reasoning algorithm for Large Language Models (LLMs), significantly improves both accuracy and speed. Our motivation comes from: 1. Previous MCTS LLM works often overlooked its biggest drawback--slower speed compared to CoT; 2. research mainly used as tool on various tasks with limited quantitative analysis or ablation studies of components from interpretability perspective. 3. The reward model is the most crucial component in MCTS,...
This paper proposes a distributionally robust optimization approach (DROA) based on disjoint layered ambiguity set for scheduling the energy consumption of heating, ventilation and air conditioning (HVAC) system. The uncertainties predicted outdoor temperature error indoor variations that are caused by human activities taken into account in HVAC historical data. maximum uncertainty is divided subintervals probabilistic information these obtained to construct set. A nonlinear HVAC's problem...
Hydrogen maser uses the transition frequency of hydrogen atom at hyperfine energy level ground state to realize precise timing. It has excellent stability, especially in medium- and short-term, low drift. been used as high-precision standard engineering fields such time keeping, navigation, very long baseline interferometry. Clock is between states <inline-formula><tex-math id="Z-20221227162344">\begin{document}$|F = 1, m_{\rm F} 0\rangle...