A5101592657- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Traffic control and management
- Transportation Planning and Optimization
- Electric and Hybrid Vehicle Technologies
- Civil and Geotechnical Engineering Research
- Traffic Prediction and Management Techniques
- Silicon Carbide Semiconductor Technologies
- Autonomous Vehicle Technology and Safety
- Advanced Materials and Mechanics
- Advanced Battery Technologies Research
- Cellular and Composite Structures
- Nonlinear Differential Equations Analysis
- Service-Oriented Architecture and Web Services
- Human Pose and Action Recognition
- Photonic Crystal and Fiber Optics
- Thin-Film Transistor Technologies
- Advanced Numerical Methods in Computational Mathematics
- Advanced Fiber Optic Sensors
- Vehicle Dynamics and Control Systems
- Nuclear reactor physics and engineering
- Differential Equations and Boundary Problems
- Grouting, Rheology, and Soil Mechanics
- Geomechanics and Mining Engineering
- Technology and Security Systems
Zhejiang Lab
2020-2024
Tsinghua University
2024
China Academy of Space Technology
2018-2024
Shaanxi Yanchang Petroleum (China)
2024
Hull York Medical School
2018-2023
University of Hull
2018-2023
Shanghai Electric (China)
2023
University of Alberta
2023
Zhejiang University of Science and Technology
2023
Changchun University of Science and Technology
2016-2022
The connected automated vehicles (CAVs) are envisioned to be implemented most likely on electric vehicles, while traditional fuel-powered manually-driven (MVs) would probably still dominate the automobile market in next decade. In this context, paper addresses urban eco-driving of CAVs mixed traffic and heterogeneous power conditions. aims develop a practical deployable strategy for flow MVs under realistic complex Several typical scenarios were studied detail. nutshell, each CAV was...
Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, can potentially benefit many downstream applications, such as wildlife conservation. However, research in this area held back by lack of a comprehensive diverse dataset with high-quality annotations. In paper, we propose Animal3D, first for mammal estimation. Animal3D consists 3379 images collected from 40 species, annotations 26 key-points, importantly parameters SMAL [50] model. All were...
Presented is a tool to estimate fast charger demand and sample results on current future battery electric vehicle (BEV) scenario. The highlight the data methods needed plan for demand. To existing BEVs, origin destination are necessary identifying which traffic relevant assess fast-charging Also, as size BEVs increases, shifts from primarily inside metro areas long-distance corridors outside areas. show interactions of size, frequency charging, energy per charge. Although charge increases...
A complete two‐dimensional axisymmetric model for chemical vapor deposition (CVD) is presented, incorporating induction heating by a radio frequency coil, flow, heat transfer (radiation included), and gas surface chemistry, applied to epitaxial growth of silicon carbide (SiC) with as the carrier precursors. Temperatures range from 1873 1923 K. Predictions are compared full‐scale experiments carried out in Linköping hot‐wall CVD reactor growth. Temperature predictions have previously shown...
Background Erythromycin-resistant S treptococcus pneumoniae isolates that causing invasive pneumococcal diseases (IPD) in Chinese children remain uncharacterized. This study aims to identify the resistance genes associated with erythromycin and determine genetic relationships of IPD children. Methods A total 171 S. strains were isolated from 11 medical centers China 2006 2008. All characterized via serotyping antibiotic susceptibility determination. The erythromycin-resistant further ermB...
This paper presents a novel ultrasonic sensing based face recognition system, which can complement traditional vision-based due to its unobtrusiveness, low-cost and robust environmental conditions. For different configurations of Transmitter-Receiver (TR) pairs, chirp signal is chosen as the transmitted used demodulate echoes for recognition. Features directly related with geometry human are extracted verified in designed experiments. Our results demonstrate that proposed system achieve high...
The principal purpose of this paper is to develop a new method deblur licence plate images. statistical analyses images we have performed enable us believe that the binarization threshold reasonable parameter distinguish blurred from clean ones. Our approach defines regularization term which includes both intensity and gradient priors, gives an effective convergent solution. A large number experiments on real-world dataset been conducted by using different algorithms. Comparing with other...
Platelets undergo profound shape changes upon adhesion to damaged blood vessel walls that are mediated by reorganisation of the actin cytoskeleton in response receptor-mediated signalling cascades. The highly conserved 56 kDa multidomain cyclase associated protein 1 (CAP1) works concert with cofilin and profilin modulate filament turnover facilitating cofilin-mediated severing depolymerisation catalysing profilin-mediated regeneration monomers for reutilisation growing filaments. CAP1 is...
Single nucleotide polymorphism (SNP) is a kind of important molecular markers due to its high density and codominance.A quantity resequencing information in the public database makes it possible develop SNP by bioinformatics technique.Cleaved amplified sequences (CAPSs), also known as PCR-RFLP markers, can converts mapped RFLP PCR-based has been widely used genotyping, map-based cloning, identification.To date, although more than 1 800 have integrated soybean (Glycine max) genome map, marker...
The increasing number of colleges and universities library books makes users' difficulty choosing interestedbooks becoming much higher.This paper proposed theresearch Intelligent recommendation system based onthe user association rules mining for books.The model integrates the advantages collaborative filtering algorithm on user, uses produces recommended list.The experimental results show that this can produce good results.
基因苜蓿植株的获得及其耐碱性分析魏正巍
High-quality annotation of fine-grained visual categories demands great expert knowledge, which is taxing and time consuming. Alternatively, learning representation from enormous unlabeled images (e.g., species, brands) by self-supervised becomes a feasible solution. However, recent researches find that existing methods are less qualified to represent categories. The bottleneck lies in the pre-text built every patch-wise embedding, while only determined several key patches an image. In this...