A5066770876- Fluid Dynamics Simulations and Interactions
- Wave and Wind Energy Systems
- Vibration and Dynamic Analysis
- Fluid Dynamics and Vibration Analysis
- Autonomous Vehicle Technology and Safety
- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- Ocean Waves and Remote Sensing
- Underwater Vehicles and Communication Systems
- Geotechnical Engineering and Underground Structures
- Advanced Vision and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Coastal and Marine Dynamics
- Functional Brain Connectivity Studies
- Rheology and Fluid Dynamics Studies
- Fluid Dynamics and Heat Transfer
- Structural Analysis of Composite Materials
- Neural dynamics and brain function
- Generative Adversarial Networks and Image Synthesis
- Ship Hydrodynamics and Maneuverability
- Fluid Dynamics and Thin Films
- Advanced Image and Video Retrieval Techniques
- Control and Dynamics of Mobile Robots
- Icing and De-icing Technologies
- Aerosol Filtration and Electrostatic Precipitation
Yantai University
2023-2025
Jiangsu University of Science and Technology
2024-2025
Dalian University of Technology
2011-2025
Hong Kong University of Science and Technology
2021-2023
University of Hong Kong
2021-2023
National Center for Nanoscience and Technology
2023
Changzhou University
2020
Zhejiang University
2019
Tiangong University
2018
Institute for Infocomm Research
2014-2016
Time-dependent nonlinear fluid oscillations in the gap between two side-by-side ships during transfer process are investigated numerically based on a two-dimensional fully potential flow solver time domain. The focus is understanding dynamic evolution of within under different incident wave parameters and varying operation windows. Amplitude dynamics, phase dynamics (via Hilbert transform), time-varying wavelet energy spectra reveal that significantly influenced by frequency, amplitude,...
The wave-induced hydrodynamics of coupled nonlinear piston-mode fluid resonances within two narrow gaps between three barges are numerically investigated using a two-dimensional viscous wave flume. This study aims to explore the time-dependent interactions oscillations in gaps. synchronous dynamic behaviors during transient evolution stage first examined terms amplitude and frequency modulation. It is shown that phase dynamics, including slipping, trapping, locking, play significant roles...
Vehicle following is one of the fundamental functions an autonomous driving system. Detection and recognition tail light signal important to prevent vehicle from rear-end collisions or accidents. Although sensors like acoustic sonar commercialized Advanced Driving Assistance System (ADAS) products such as mobileye could be used for collision warning, a cost-effective approach expected. In this paper, we have developed novel two-stage detect vehicles recognize brake lights single image in...
Coupling dynamics between wave resonance in the narrow gap and heave motion of floating box a heave-fixed-boxes system is investigated. The two peaks amplitudes free surface are identified as first second resonant frequencies according to theoretical analysis based on potential flow model. have in-phase out-of-phase modes, respectively, which can be confirmed by new approach decay test. radiation damping important at frequency with mode; while viscous indispensable mode.
Background: The study of task-driven dynamic adaptive graph sparsity patterns in Alzheimer's disease (AD) analysis is great importance, as it allows for better focus on regions and connections interest enhances task sensitivity. Methods: In this study, we introduced a model (called radiomics-based morphological brain network [Task-radMBNet]) AD diagnosis based (radMBN). Specifically, the Task-radMBNet was established by devising connectivity feature-based convolutional (GCN) channel...
Two-dimensional wave-induced fluid oscillations in two narrow gaps are numerically investigated the time domain. The arbitrary-Lagrangian–Eulerian finite element model for free-surface flow problems is implemented based on fully nonlinear potential theory. aim of this study to dynamic evolutions gap resonance with focusing both initial transient and final quasi-steady states, especially piston-mode bulk multiple that generally involve response components interactions between them. responses...
Light signal recognition is one of the key issues in autonomous vehicle. Unlike normal object detection and recognition, which can be done by using different sensors, light naturally a computer vision problem. Although commercialized ADAS (Advanced Driving Assistance System) products, such as mobileye, could used for rear-end collision warning, cost-effective approach still needed. In this paper, we have developed novel two-stage to detect vehicles recognize lights from single image...
Abstract Active deformation behavior reflects cell structural dynamics adapting to varying environmental constraints during malignancy progression. In most cases, mechanics is characterized by modeling using static equilibrium systems, which fails comprehend leading inaccuracies in distinguishing cancer cells from normal cells. Here, a method introduced measure the active of atomic force microscopy (AFM) and newly developed cytometry (DBC). During measurement, are deformed allows long...
To investigate the influence of additional device on flow in marine current turbine, two devices for ma- rine turbine including short diffuser and long types are studied based test data original turbine. The results numerical simulation show that with flange structure, compared to without device, can obtain more output power. However, it brings inhomogeneity force as increasing effective At same time, due existence flange, karman vortices found behind flange. low pressure region produced by...
Short-term load forecasting can provide essential and informative inputs for various decision-making problems, such as optimal operation control of power systems. In this paper, a novel ensemble wavelet deep learning approach is proposed short-term forecasting. Firstly, electricity series are decomposed into one lower frequency component three higher components using decomposition. Then, the values each be obtained by model consisting belief network, long memory multi-layer perceptron....
Brain-Machine Interfaces (BMIs) convert paralyzed people's neural signals into the command of neuro-prosthesis. During subject's brain control (BC) process, patterns might change across time, making it crucial and challenging for decoder to co-adapt with dynamic patterns. Kalman Filter (KF) is commonly used continuous in BC. However, if become quite different compared training data, KF needs a re-calibration session maintain its performance. On other hand, Reinforcement Learning (RL) has...
We present a real-time optimization method for autonomous vehicle motion planning. Trajectory is essential planning, due to its non-holonomic motion. Conventional way of by trajectory smoothing. In this paper, we use differential dynamic programming (DDP) optimize the trajectory. The key advantage DDP that it not only smoothes but also considers constrain vehicle. optimized pre-proof be able executed Results are demonstrated with an model in Gazebo simulation environment.