Ying Zhao

ORCID: 0000-0003-0096-5614
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About
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Research Areas
  • Cellular and Composite Structures
  • Advanced Battery Technologies Research
  • Vehicle Dynamics and Control Systems
  • Automotive and Human Injury Biomechanics
  • Electric and Hybrid Vehicle Technologies
  • Autonomous Vehicle Technology and Safety
  • Tree Root and Stability Studies
  • Advanced Neural Network Applications
  • Multi-Criteria Decision Making
  • Transportation Safety and Impact Analysis
  • Polymer composites and self-healing
  • Aluminum Alloys Composites Properties
  • Advanced Algorithms and Applications
  • Robot Manipulation and Learning
  • Industrial Vision Systems and Defect Detection
  • Traffic control and management
  • Material Properties and Processing
  • Advanced Materials and Mechanics
  • Electric Vehicles and Infrastructure
  • Robotic Path Planning Algorithms
  • Advanced Welding Techniques Analysis
  • Welding Techniques and Residual Stresses
  • High-Velocity Impact and Material Behavior
  • Structural Analysis and Optimization
  • Mechanical Engineering and Vibrations Research

Hangzhou Dianzi University
2025

Qilu University of Technology
2024

Shandong Academy of Sciences
2024

Southwest University
2021-2024

Chinese Academy of Sciences
2024

Dalian Maritime University
2024

Jiangsu University
2024

Kunming Institute of Botany
2024

Beijing Institute of Technology
2024

Ludong University
2023

Abstract Visual inspection of photovoltaic modules using electroluminescence (EL) images is a common method quality inspection. Because human requires lot time, object detection algorithm to replace popular research direction in recent years. To solve the problem low accuracy and slow speed EL image detection, we propose YOLO‐based YOLO‐PV, which achieves 94.55% AP (average precision) on module data set, interference exceeds 35 fps. The improvement benefits from targeted design network...

10.1002/ese3.1056 article EN cc-by Energy Science & Engineering 2022-01-12

Preferential flow benefits water storage in deep soils that contribute to hydrological sustainability under different vegetations the Karst regions, however, how vegetation specializes preferential pattern by changing soil architecture remains unclear. The study investigated variations of and patterns agricultural field, abandoned young mature woodlands representing four succession stages during implementation returning cultivated land into forest region, explored texture structure interact...

10.1016/j.ecolind.2023.111166 article EN cc-by-nc-nd Ecological Indicators 2023-11-02

Oblique impact loading conditions are common in automobile collision accidents, which strongly influence the energy absorption performance of thin-walled structures. In this paper, a novel three-dimensional (3-D) hexagonal structure-filled crash box with better comprehensive crashworthiness under multiple working is proposed. First, finite element models four 3-D typical cellular structures (hexagon structure, re-entrant hexagon star-shape double arrow structure) established. The dynamic...

10.1177/0954407021998174 article EN Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 2021-03-05

10.1109/itoec63606.2025.10968770 article EN 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC) 2025-03-14

Existing research on path following strategies generally does not consider the interference effect of active anti-roll (AAR) action. This seriously affects driving safety under extreme obstacle avoidance and other conditions. Therefore, based non-cooperative Stackelberg equilibrium theory, this proposes a lateral trajectory tracking strategy that considers AAR decision. First, yaw-roll coupled dynamic model commercial vehicle with front wheel angle moment as input is established to describe...

10.1049/itr2.12202 article EN cc-by-nc-nd IET Intelligent Transport Systems 2022-05-24

Oblique impact loading conditions are unavoidable in practical applications, which strongly influence the performance response of energy-absorbing structures. In this paper, finite element models four typical cellular structures (hexagon honeycomb, re-entrant hexagon star-shape double arrow honeycomb) established and experimentally validated. The dynamic responses under different angles (from 0 to 30°) velocities 5 50 m/s) investigated. On basis, influences angle velocity on specific energy...

10.1080/13588265.2021.1909861 article EN International Journal of Crashworthiness 2021-04-09

Feralization is an important evolutionary process, but the mechanisms behind it remain poorly understood. Here, we use ancient fiber crop ramie (Boehmeria nivea (L.) Gaudich.) as a model to investigate genomic changes associated with both domestication and feralization. We first produced chromosome-scale de novo genome assembly of feral investigated structural variations between domesticated genomes. Next, gathered 915 accessions from 23 countries, comprising cultivars, major landraces,...

10.1016/j.xplc.2024.100942 article EN cc-by-nc-nd Plant Communications 2024-05-08

The present status about L. barbarum harvesting is introduced in this paper. high pressure air flow method, vibration method and shear type are described detail. experimental data were analyzed the damage rate, acquisition rate efficiency of each compared. results showed that picking can reach 85%, ripe fruit be controlled within 10%, comprehensive effect relatively good. So, it used as mechanized continuous under current cropping pattern. With advancement standardization standardized...

10.1016/j.ifacol.2018.08.148 article EN IFAC-PapersOnLine 2018-01-01

To maximize the performance of power batteries and supercapacitors in a hybrid energy storage system (HESS) to resolve conflict between high demands electric vehicles limitations high-current charging discharging battery, vehicle demand model incorporating road slope information has been constructed. This paper takes HESS composed battery supercapacitor as object, rule-based management strategy (EMS) based on is proposed realize reasonable distribution under condition. According ahead,...

10.3390/en14092358 article EN cc-by Energies 2021-04-21

To resolve the issues of a deep backbone network, large model, slow reasoning speed on mobile terminal, low detection accuracy for small targets and difficulties detecting recognizing traffic lights in real time accurately with YOLOv4, recognition method based improved YOLOv4 is proposed. The lightweight ShuffleNetv2 network utilized to replace CSPDarkNet53 satisfy requirements terminal. reformed k-means clustering algorithm applied generate anchor boxes avoiding sensitivity issue outliers...

10.3390/s22207787 article EN cc-by Sensors 2022-10-13

In urban road traffic environments, intention estimation and trajectory prediction of surrounding vehicles are necessary prerequisites for autonomous to plan their own trajectories reasonably. this paper, a greedy method based on Gaussian process-information entropy probability framework in discretetime dimension (DTDGP-IE) hazard index graph is proposed. Firstly, grid search rules employed vehicles. Secondly, further improve the accuracy realize uncertainty estimation, utilized DTDGP-IE,...

10.1109/tvt.2024.3363026 article EN IEEE Transactions on Vehicular Technology 2024-07-01
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