A5100737963- Magnetic confinement fusion research
- Superconducting Materials and Applications
- Ionosphere and magnetosphere dynamics
- Laser-Plasma Interactions and Diagnostics
- Soft Robotics and Applications
- Robot Manipulation and Learning
- Radiomics and Machine Learning in Medical Imaging
- Plasma Diagnostics and Applications
- Nuclear reactor physics and engineering
- Nanoplatforms for cancer theranostics
- Advanced Control Systems Optimization
- Particle accelerators and beam dynamics
- Laser-induced spectroscopy and plasma
- Solar and Space Plasma Dynamics
- Hand Gesture Recognition Systems
- Advanced Sensor and Energy Harvesting Materials
- Fractional Differential Equations Solutions
- Photodynamic Therapy Research Studies
- Advanced Nanomaterials in Catalysis
- Advanced Statistical Process Monitoring
- Optimal Experimental Design Methods
- Drilling and Well Engineering
- Numerical methods in engineering
- Machine Fault Diagnosis Techniques
- Advanced X-ray and CT Imaging
Dalian University of Technology
2022-2024
Dalian University
2022-2024
Harbin Engineering University
2023
Harbin Institute of Technology
2020-2023
Southern University of Science and Technology
2023
Qingdao University
2023
University of Science and Technology of China
2023
Lehigh University
2013-2021
Institute of Electrical Engineering
2021
Shijiazhuang Tiedao University
2021
Proprioception is the ability to perceive environmental stimulations through internal sensory organs. Enabling proprioception critical for robots be aware of interactions and respond appropriately, particularly high-payload grippers ensure safety when handling delicate objects. State-of-the-art robotic with soft actuators are typically equipped pressure sensors pneumatic regulation control, but very few utilized them proprioceptive purposes. This lack awareness was largely compensated by...
The lack of selectivity between tumor and healthy cells, along with inefficient reactive oxygen species production in solid tumors, are two major impediments to the development anticancer Ru complexes. photoinduced combination therapy based on biodegradable polymers that can be light activated "therapeutic window" would beneficial for enhancing therapeutic efficacy Herein, a Ru-containing polymer (poly(DCARu)) is developed, which different therapeutics (the drug complex) rationally...
Soft robotic manipulators have inherent advantages in underwater applications, as they generate motion by deforming seamless muscles rather than having rotational joints or sliding cylinders, well excellent passive adaptability. However, limited insufficient structural stiffness, achieving high payload and positioning accuracy remains challenging existing soft manipulator designs. In this work, we propose an innovative approach to design: 1) constraining high- power optimized actuators with...
Abstract We report the beam test and result of sealed Multigap Resistive Plate Chambers (MRPC) for external Time Flight (eTOF) wall Cooler-strorage-ring External-target Experiment (CEE). The stand detects secondary charged particles produced from heavy ion collisions in Heavy Ion Research Facility Lanzhou (HIRFL), it serves as a joint evaluation future CEE system, including detectors, readout electronics, data acquisition, trigger etc. collision is achieved by Fe target, with an estimated...
Abstract We develop walk‐on‐sphere method for fractional Poisson equations with Dirichilet boundary conditions in high dimensions. The is based on probabilistic representation of the equation. propose efficient quadrature rules to evaluate integral ball and apply rejection sampling drawing from computed probabilities general domains. Moreover, we provide an estimate number walks mean value when domain a ball. show that increasing order distance starting point origin. also give relationship...
Electric vehicles (EVs) are considered to be the most promising technology upgrades in coming years reduce carbon emission, since EVs could replace conventional combustion as well mitigate power fluctuations grids. This paper focuses on addressing frequency stability issues isolated hybrid grids (IHGs) by introducing a fractional order proportional-integral-derivative (FOPID) control for grid-connected converters. A particle swarm optimization (PSO) technique is adopted optimize parameters...
The accuracy of the internal states a tokamak, which usually cannot be measured directly, is crucial importance for feedback control plasma dynamics. A first-principles-driven response model could provide an estimation given boundary conditions on magnetic axis and at boundary. However, would highly depend initial conditions, may not always known, disturbances, non-modeled In this work, closed-loop state observer poloidal flux proposed based very limited set real-time measurements by...
Extensive studies have shown that the toroidal current density profile, which is closely related to poloidal magnetic flux a key factor achieving advanced tokamak operating scenarios characterized by improved confinement and possible steady-state operation. In this work, first-principles-driven, control-oriented model of profile evolution used design feedback controller via predictive control (MPC). The aim track desired for gradient solving an optimal problem in presence disturbances,...
Turbulence and turbulence-driven transport are ubiquitous in magnetically confined plasmas, where there is an intimate relationship between turbulence, transport, destabilizing mechanisms, such as gradients currents, stabilizing mechanisms like shear. Active control of fluctuations investigated this paper via manipulation flow profiles a magnetized laboratory plasma device helicon-cathode (HELCAT). Fluctuations monitored by electrostatic probes, E×B controlled bias ring electrodes. First,...
Turbulence, and turbulence-driven transport are ubiquitous in magnetically confined plasmas, where there is an intimate relationship between turbulence, transport, destabilizing mechanisms like gradients currents, stabilizing shear. Active control of fluctuations via manipulation flow profiles investigated a magnetized laboratory plasma device (HELCAT). Measurements the azimuthal velocity assumed available at several radial points within E × B controlled biased ring electrodes. An optimal...
Tokamaks, which are one of the most promising approaches to energy generation from nuclear fusion, toroidal devices confining a very hot ionized gas, i.e. plasma, where reactions take place. Studies have shown that shape safety-factor profile, is related helical pitch magnetic fields used for plasma confinement, key factor towards achieving advanced operating conditions characterized by improved magnetohydrodynamic stability, and possible steady-state operation. In this work,...
This article studies the identification and classification of atypical load current in metro DC traction system. Due to diversity vehicles variability operating conditions, system presents nonlinear dynamic features. During vehicle braking process, divergent usually appears with a small frequency. Actual situation shows that belongs an current, it is not fault current. However, has strong similarity remote short-circuit terms increment slope, which leads di/dt-∆I (DDL) protection error...
Active control of the flow shear, which is related to radial derivative azimuthal flow, a key factor in reducing cross-field turbulence-driven particle transport magnetically confined plasma column. Once desired velocity profile and its associated level turbulent fluctuations are identified, challenge systematically achieving sustaining it still remains. In this paper, model-based feedback controller proposed overcome helicon-cathode (HELCAT). This linear, dual-source, magnetized-plasma,...
The cross-field turbulence-driven particle transport in magnetically confined plasmas can be reduced by adequately shaping the flow profiles. HELCAT (HELicon-CAThode), a linear magnetized plasma device, uses concentric ring electrodes to modify profiles E×B actuation. As result, turbulent and heat mitigated generating sheared radial electric field through varying voltages. Active control of fluctuations, including associated transport, via manipulation is investigated this work. Once desired...
Background: Accurate stratification of recurrence risk for bladder cancer (BCa) is essential precise individualized therapy. This study aimed to develop and validate a model predicting the in BCa patients postoperatively using 3-phase enhanced CT images.Methods: We retrospectively enrolled 874 across four centers between January 2006 December 2021. Patients from one center were used as training cohort, while remaining went into validation cohort. trained deep learning (DL) based on...