A5103090964- Underwater Vehicles and Communication Systems
- Cavitation Phenomena in Pumps
- Granular flow and fluidized beds
- Particle Dynamics in Fluid Flows
- Aerosol Filtration and Electrostatic Precipitation
- Aerospace Engineering and Energy Systems
- Adaptive Control of Nonlinear Systems
- Innovations in Medical Education
- Electromagnetic Scattering and Analysis
- Family Caregiving in Mental Illness
- Maritime Navigation and Safety
- Oil and Gas Production Techniques
- Radar Systems and Signal Processing
- Dental Radiography and Imaging
- Schizophrenia research and treatment
- Marine and Coastal Research
- Spacecraft and Cryogenic Technologies
- Mental Health Treatment and Access
- Matrix Theory and Algorithms
- Advanced Numerical Methods in Computational Mathematics
- Hydraulic and Pneumatic Systems
- Ship Hydrodynamics and Maneuverability
- Robotic Path Planning Algorithms
- Environmental Engineering and Cultural Studies
- Water Systems and Optimization
Chinese Academy of Sciences
2019-2025
Institute of Deep-Sea Science and Engineering
2019-2025
Kunming Medical University
2024-2025
Stomatology Hospital
2024-2025
Central South University
2014-2024
Harbin Engineering University
2013
Beijing Institute of Technology
2009
Jilin Vocational College of Industry and Technology
2007
The hydrodynamic coefficients of underwater robots can be used to evaluate their maneuverability and motion stability design controllers, thereby reducing experimental time costs. In this paper, an Autonomous Underwater Vehicle (AUV) with a negative-lift profile is designed. spatially constrained method, combined neural networks, utilized identify all the in standard equations AUV. Subsequently, based on goodness-of-fit, significance evaluated yield simplified equation. Given cost...
Abstract Solar-powered autonomous underwater vehicles (SAUVs) can harness sustainable natural energy, meaning that they are capable of providing long-term mission support. This paper describes ongoing development work on the overall design a SAUV. It outlines goals for vehicle, with particular focus unconventional shape resulting from integration solar panels within body is equipped an array commonly used sensors as its perception system, thus ensuring comprehensive environmental awareness....
There are still many controversies about the factors influencing maxillary sinus cysts and their clinical management. This study aims to construct a prediction model of cyst explore its clustering pattern by cone beam computerized tomography (CBCT) technique machine learning (ML) method provide theoretical basis for prevention management cyst. In this study, 6000 CBCT images from 3093 patients were evaluated document possible cysts, including gender, age, odontogenic factors, anatomical...
Autonomous underwater vehicles (AUVs), as primary platforms, have significantly contributed to surveys in scientific and military fields. Enhancing the maneuverability of autonomous is crucial their development. This study presents a novel vectored thruster an optimized blade design approach meet requirements specially shaped AUV. Determining ideal characteristics involves selecting maximum diameter 0.18 m configuring number blades be four. Furthermore, AUV were set rotate at speed 1400...
Abstract Hydraulic collection has been shown to be a promising technology in deep sea mining. However, the efficiency of hydraulic is affected by many factors. For understanding effect inlets distinct from shapes on collecting efficiency, series upward pumping experiments was conducted spheres. Flow fields at different were described numerical simulation and compared uncover influence inlet shape sphere. The experimental results indicate that straight cylindrical pipe with flanged higher...
<title>Abstract</title> Background The relationship between the impact of anti-involution training on critical thinking and its propensity indicators among young healthcare professionals in dental outpatient clinics remains to be determined. Therefore, this study aimed investigate these associations develop an interpretable machine learning (ML) model assess their predictive value enhancing through training. Methods A cross-sectional survey encompassing 114 participants was conducted....
The high-resolution 3D groundwater flow and transport simulation problem requires massive discrete linear systems to be solved, leading significant computational time memory requirements. domain decomposition method is a promising technique that facilitates the parallelization of problems with minimal communication overhead by dividing computation into multiple subdomains. However, directly utilizing scheme solve becomes impractical due bottleneck in algebraic operations required coordinate...
This paper focuses on the critical issues of data caching strategy, parallel algorithm design and its optimized implementation in constructing large-scale real time digital beam forming (DBF) radar signal processing systems. They are bottleneck system scalability efficiency. At end paper, we provide a solution for practical DBF with Commercial-Off-The-Shelf (COTS) based proving effectiveness. (4 pages)
We study large-scale network embedding with the goal of generating high-quality embeddings for networks more than 1 billion vertices and 100 edges. Recent attempts LightNE NetSMF propose to sparsify factorize (dense) NetMF matrix large networks, where is a theoretically-grounded method. However, there trade-off between their embeddings' quality scalability due expensive memory requirements, making less effective under real-world constraints. Therefore, we present SketchNE model, scalable,...