- Hydraulic and Pneumatic Systems
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Robotics and Sensor-Based Localization
- Metamaterials and Metasurfaces Applications
- Video Analysis and Summarization
- Tribology and Lubrication Engineering
- Liquid Crystal Research Advancements
- Advanced Antenna and Metasurface Technologies
- Multilevel Inverters and Converters
- Industrial Technology and Control Systems
- Plasmonic and Surface Plasmon Research
- Sensorless Control of Electric Motors
- Real-time simulation and control systems
- 3D Shape Modeling and Analysis
- Advanced Data Processing Techniques
- Luminescence and Fluorescent Materials
- Mechanical Engineering and Vibrations Research
- Human Pose and Action Recognition
- Human Motion and Animation
- Electric Power Systems and Control
- Robotic Locomotion and Control
- Advanced DC-DC Converters
- Pluripotent Stem Cells Research
- Medical Image Segmentation Techniques
Zhejiang University
2022-2024
Nanjing University of Posts and Telecommunications
2022-2024
Huazhong University of Science and Technology
2024
National Laboratory of Solid State Microstructures
2024
Huazhong Agricultural University
2022
Abstract Circularly polarized luminescent (CPL) materials have garnered tremendous attention owing to their expanded optical properties beyond emission wavelength and intensity. Among these, the emerging circularly organic ultralong room‐temperature phosphorescence (CP‐OURTP) materialsdemonstrating elegant distinct features are of significant importance for extended lifetime, which represent a novel frontier in research with promising scientific technological applications across diverse...
The development of the electrification aircraft has prompted aviation hydraulic systems to shift from traditional centralized valve actuators (CVAs) electro-hydrostatic (EHAs). In this paper, aiming at demand for a quantitative comparison performance between CVAs and EHAs, CVA EHA prototypes with same power level test platform were developed. Then, based on flow dynamic models EHA, simulation experimental comparative tests conducted using different load spectrum conditions step response...
Video instance segmentation on mobile devices is an important yet very challenging edge AI problem. It mainly suffers from (1) heavy computation and memory costs for frame-by-frame pixel-level perception (2) complicated heuristics tracking objects. To address these issues, we present MobileInst, a lightweight mobile-friendly framework video devices. Firstly, MobileInst adopts vision transformer to extract multi-level semantic features presents efficient query-based dual-transformer decoder...
A polarization-dependent thermal-tunable graphene metamaterial consisting of a monolayer, amorphous silicon photonic crystal, and lossless metallic mirror is proposed to realize manipulation light absorption. Benefiting from the 90° rotational asymmetry structure, anisotropic absorption can be obtained. We attribute perfect critical coupling with guided resonance, which well analyzed by coupled mode theory. By adjusting polarization angle, amplitude flexibly controlled, so that variety...
We propose a thermally-electrically tunable perfect absorber based on amorphous silicon (a-Si) and graphene. Numerical results reveal that absorption with narrow bandwidth can be induced owing to the guided-mode resonance. The thermal tuning of resonant wavelength, realized via Joule heating, characters high efficiency linear controllability. tunability is attributed relationship between refractive index a-Si temperature. Moreover, by adjusting applied gate voltage, chemical potential...
`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes. However, prevailing methodologies primarily focus on voxel-wise feature aggregation, while neglecting instance semantics scene context. In this paper, we present novel paradigm termed Symphonies (Scene-from-Insts), that delves into the integration of queries orchestrate 2D-to-3D reconstruction 3D modeling. Leveraging our...
Lyotropic chromonic liquid crystal (LCLC) droplets hold significant potential in both scientific research and practical applications. The incorporation of polyethyleneimine (PEI) its impact on LCLC droplet formation present a compelling puzzle. This study reports the fabrication micrometer-sized through self-assembly functionalization process by integrating cationic polymer PEI into disodium cromoglycate (DSCG) solution. Notably, morphology can be reversibly altered between bipolar radial...
Abstract The modulation of dielectric anisotropy (Δ ε ) is pivotal for elucidating molecular interactions and directing the alignment liquid crystals. In this study, we combine crystals with opposing anisotropies to explore impact varying concentrations on their properties. We report sign-reversal Δ in both nematic smectic A phases these mixed crystals, alongside a dual-frequency behaviour across broad temperature spectrum. Our research further quantifies influence mixture ratios under...
Abstract This paper proposes an intelligent electric motor-driven pump (EMP) with continuously variable pressure (CVP) configuration and develops a prototype, whose output power can match the load power, effectively improving efficiency reducing heat generation of aircraft source. The EMP prototype consists motor axial piston pump. integrates position sensor to monitor control cylinder swashplate, uses servo valve thereby controlling outlet Furthermore, pressure/displacement double...
Abstract Using asymmetric cylinders to replace symmetric effectively reduces the volume and weight of electro-hydrostatic actuators (EHAs). However, have flow mismatch between rod rodless chambers. Researchers proposed using three-port valve plate (AVP) solve problem without increasing EHA. compared with traditional (SVP), impact AVP on performance axial piston pump has yet be studied. This paper establishes a mixed lubrication model cylinder block/valve interface considering asperity...
3D Semantic Occupancy Prediction is fundamental for spatial understanding as it provides a comprehensive semantic cognition of surrounding environments. However, prevalent approaches primarily rely on extensive labeled data and computationally intensive voxel-based modeling, restricting the scalability generalizability representation learning. In this paper, we introduce GaussTR, novel Gaussian Transformer that leverages alignment with foundation models to advance self-supervised...
Abstract This study proposes an accurate dead zone compensation control method for electro-hydrostatic actuators (EHAs) under low-speed conditions. Specifically, the nonlinear characteristics conditions are summarized based on numerous EHA experiments. An adaptive function (ACF) is then constructed zone. Next, this EHAs by integrating ACF with a virtual decomposition controller (VDC) established model. The stability of proposed also proven. Finally, verified using platform. test results show...
Video instance segmentation on mobile devices is an important yet very challenging edge AI problem. It mainly suffers from (1) heavy computation and memory costs for frame-by-frame pixel-level perception (2) complicated heuristics tracking objects. To address those issues, we present MobileInst, a lightweight mobile-friendly framework video devices. Firstly, MobileInst adopts vision transformer to extract multi-level semantic features presents efficient query-based dual-transformer decoder...
Due to low computational burden, high control bandwidth, excellent dynamic performance, and no overshoot, the deadbeat model predictive current (DB-MPCC) method has great application potential in five-phase permanent magnet synchronous motors (F-PMSMs). However, dependence on accuracy of prediction seriously affects practical performance DB-MPCC method. This paper proposes an improved incremental based (IIM-DB-MPCC) for F-PMSMs, which improves discretization effectively reduces model....
In this paper, a fault-tolerant finite control set model predictive current (FCS-MPCC) method based on the extended voltage vector and adaptive (FCS-MPCC-EACS) is proposed, which improves accuracy stability of five-phase permanent magnet synchronous motor (F-PMSM) under two-phase open-circuit fault (OCF), reduces computational burden. Firstly, optimal duty ratio are calculated by optimizing cost function, thereby improving F-PMSM. Then, deadbeat (DB) utilized to calculate reference for...