A5080069655- Electrochemical sensors and biosensors
- Advanced Nanomaterials in Catalysis
- Evacuation and Crowd Dynamics
- Advanced biosensing and bioanalysis techniques
- Enzyme Catalysis and Immobilization
- Human-Automation Interaction and Safety
- Team Dynamics and Performance
- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- Robotics and Sensor-Based Localization
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Fire dynamics and safety research
- Mobile Crowdsensing and Crowdsourcing
- Autonomous Vehicle Technology and Safety
- Cognitive and developmental aspects of mathematical skills
- Enzyme-mediated dye degradation
- Neuroscience and Music Perception
- Advanced Optical Sensing Technologies
- Personal Information Management and User Behavior
- Fire Detection and Safety Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Algal biology and biofuel production
- Air Traffic Management and Optimization
- Nanocluster Synthesis and Applications
Henan University
2023
Qingdao University
2020-2022
Xi'an Jiaotong University
2022
National Research Council Canada
2020-2021
Carleton University
2012-2017
Master's College
2012
Library and Archives Canada
2012
Northeast Normal University
2005
Wildfires are a significant safety risk to populations adjacent wildland areas, known as the wildland-urban interface (WUI). This paper introduces modelling platform called WUI-NITY. The is built on Unity3D game engine and simulates visualises human behaviour wildfire spread during an evacuation of WUI communities. purpose this enhance situational awareness responders residents scenarios by providing information dynamic evolution emergency. WUI-NITY represents current predicted conditions...
Abstract Simultaneous localization and mapping (SLAM) is a pivotal technology in autonomous vehicle navigation significant research area robotics. Addressing the inaccuracies point cloud registration of traditional LiDAR SLAM, which lead to errors, we propose novel inertial odometry approach integrating measurement units multi-feature joint strategy. Initially, introduce an innovative ground segmentation method feature categorization strategy, enhancing detection mechanisms optimizing...
Two 48-nuclei silver nanocages with similar structures and compositions were synthesized by using Keggin-type polyoxometalates (POMs) BW12 SiW11Ni as anionic templates. However, their photoluminescence photocurrent properties showed obvious differences. These results suggest that POMs not only serve anion templates in constructing clusters but also influence properties.
A team display provides integrated information required by teams performing command and control tasks in complex situations. This study assessed the impact of such an using C 3 Fire micro-world simulation when managing forest fire incidents. The focused on teamwork was interrupted communication breakdown. findings show that performance significantly better with display, terms a lower mean number lost houses, particularly there In addition, presence associated situation awareness. practical...
Cetyl trimethyl ammonium bromide (CTAB)-activated lipase-mineral hybrid microflowers (CTAB-Lip-MHFs) were fabricated via biomineralization using Cu3(PO4)2⋅3H2O as the mineral for olive oil hydrolysis. FT-IR spectra indicated that immobilized lipase molecules in CTAB-Lip-MHFs has good structural integrity, and XPS revealed present at surface of CTAB-Lip-MHFs. Kinetic studies suggested had substrate affinity ascribed to interfacial effect caused by CTAB, meanwhile, open conformation activated...
Gold nanoparticles (AuNPs) were in situ electrodeposited on n-type GaN (n-GaN) electrode via cyclic voltammetry for electrochemical sensing of hydrogen peroxide (H2O2). Detection results revealed the H2O2 detection range was from 40 µM to 1 mM, and limit 10 µM, moreover, AuNPs/n-GaN showed quick response (less than s) high sensitivity (164.0 µA mM−1) toward detection. Furthermore, exhibited good selectivity, excellent mechanical storage stability. In addition, accurate responses diluted...
Abstract Moving object segmentation is fundamental for various downstream tasks in robotics and autonomous driving, providing crucial information them. Effectively extracting spatial-temporal from consecutive frames addressing the scarcity of dataset important learning-based 3D LiDAR moving (LIDAR-MOS). In this work, we propose a novel deep neural network based on vision transformers (ViTs) to tackle problem. We first validate feasibility transformer networks task, offering an alternative...
Abstract ABSTRACT— Achieving efficient and accurate semantic 
segmentation of LiDAR point clouds is a crucial fundamental 
technology in autonomous driving robotics. In the paper, 
We have designed convolutional stem patch embedding 
before ViT order to enhance RangeViT improve its 
performance cloud segmentation. And we 
have named this improved version RangeViT++. Firstly, 
Multi Residual Channel Interaction Attention Module...
Purpose The purpose of this paper is to propose a multi-feature, multi-metric and multi-loop tightly coupled LiDAR-visual-inertial odometry, M 3 LVI, for high-accuracy robust state estimation mapping. Design/methodology/approach LVI built atop factor graph composed two subsystems, LiDAR-inertial system (LIS) visual-inertial (VIS). LIS implements multi-feature extraction on point cloud, then transformation implemented realize LiDAR odometry. LiDAR-enhanced images IMU pre-integration have been...