A5100613627- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Nanoplatforms for cancer theranostics
- Advanced Neural Network Applications
- Remote Sensing and LiDAR Applications
- Target Tracking and Data Fusion in Sensor Networks
- 3D Surveying and Cultural Heritage
- Smart Grid and Power Systems
- Fluid Dynamics Simulations and Interactions
- Mechanical Engineering and Vibrations Research
- Layered Double Hydroxides Synthesis and Applications
- Nanoparticle-Based Drug Delivery
- Advanced Sensor and Control Systems
- Innovative concrete reinforcement materials
- Robotics and Sensor-Based Localization
- Urinary and Genital Oncology Studies
- Power Systems and Renewable Energy
- Plant tissue culture and regeneration
- Gold and Silver Nanoparticles Synthesis and Applications
- Plant Genetic and Mutation Studies
- Polysaccharides and Plant Cell Walls
- Anomaly Detection Techniques and Applications
- High-Temperature Coating Behaviors
- Ship Hydrodynamics and Maneuverability
- Bladder and Urothelial Cancer Treatments
Shanghai Institute of Applied Physics
2024
Chinese Academy of Sciences
2024
Air Force Engineering University
2023
Dalian Maritime University
2022
Academy of Military Transportation
2020-2021
Xi'an Jiaotong University
2021
Mengchao Hepatobiliary Hospital
2018-2019
Fuzhou University
2018-2019
Fujian Medical University
2018-2019
Broad Center
2019
The development of nanotheranostic agents integrating diagnosis and therapy has gained tremendous attention in the past few decades, but many them are inherently hydrophobic need complicated phase-transfer tedious surface modifications. This work proposed a facile method transferring Fe3O4@Cu2-xS nanoparticles from oil to water by using red blood cell membrane create theranostic nanobeads for T2-weighted MRI second near-infrared photothermal ablation. obtained nanoplatform, namely SCS@RBCM,...
NIR-II photothermal therapy (PTT) agents of Ti<sub>2</sub>O<sub>3</sub> nanoparticles have been developed.
Crowding counting research evolves quickly by the lever-age of development in deep learning. Many researchers put their efforts into crowd tasks and have achieved many significant improvements. However, current datasets still barely satisfy this evolution high quality evaluation data is urgent. Motivated quantity study crowding counting, we collect a drone-captured dataset formed 5,468 images(images RGB thermal appear pairs 2,734 respectively). There are 1,807 images for training, 927...
Abstract Adjacent obstacles are difficult to be distinguished, and remote obstacle is easily detected as multiple targets. Besides, occluded track, tracking velocity of the in rapid acceleration or deceleration converges slowly urban environment. In view this, an detection method based on multi‐lidar proposed. Firstly, vehicle kinematics model, motion compensation adopted solve space‐time synchronization problem among lidars after road segmentation, data level fusion completed. Next, by...
In urban dynamic environment, most of the existing works on LiDAR SLAM are based static scene assumption and greatly affected by obstacles. order to solve this problem, paper is F-LOAM, adopts FA-RANSAC algorithm, improved ScanContext algorithm global optimization propose a robust fast Odometry Mapping (RF-LOAM). Firstly, Region Growing used cluster fan-shaped grids. Then, we base feature information adaptive threshold for objects removal, extracts edge planar points first distortion...
To solve the problem that small rescue vessels are seriously affected by waves when working at sea, which causes damage to crew and equipment, a catamaran with suspended articulated cabin is designed. The multi-body dynamic model of whole vessel based on SimMechanics built, prototype tested water. correctness verified three aspects roll motion, pitch heave motion platform. platform simulated under conditions bow large waves, RMS value vertical acceleration taken as response target analyze...
Adjacent obstacles are difficult to be distinguished, and remote detected easily split. Besides, limited deep learning samples result in missed detection of urban environment. In view this, a fast robust method is proposed by fusing Double-Layer Region Growth algorithm Grid-SECOND detector. At first, SECOND detector improved replacing voxel grids with 2D adopting multi-dimensional features detect obstacles, which can reduce the time consumption ensure accurate obstacles. Then, first Growing...
In order to well understand the probability hypothesis density, according physical-space model given by Ozgur Erdin, we deduce density filter function with Bayes theorem and total theorem. The derivation result is identical in literature, process described detail. results this paper will provide a theoretical basis for solving target-death problem.
Abstract Aiming at the problem of maneuver mode recognition for re-entry gliding vehicles (RGV), this article proposes a new intelligent method vehicles. Based on extracted feature parameters that fit characteristics vehicle trajectory and constructed RGV modes library, an LSTM deep learning neural network was built to train parameters. Compared with other typical in training, results show our proposed converge faster more stably achieve high accuracy.
Using the finite element software ANSYS to analyze CFRP strengthened concrete columns.The columns are in axial force existence situation, many should be reinforced by longitudinal and circumferential because of insufficient capacity. Subject loading,11 root were designed, aiming layer number CFRP, location orientation eccentric distant specimens.One them is a non-reinforcement column.Under compression, bending, shearing monotonic torsion, nonlinear model was established test stressed steel...
In order to make the Baja racing car with better maneuvering stability, ADAMS/Car module is used build front suspension structural model of car. Through simulation test, influence each positioning parameters on performance analyzed. The obtained results gradually optimize position hard point. By optimizing parameter, overall significantly improved, so that has good handling and stability. method described in this article makes optimization faster more accurate.