Lei Sun

ORCID: 0000-0003-0565-2000
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Antenna Design and Analysis
  • Microwave Engineering and Waveguides
  • Advanced Antenna and Metasurface Technologies
  • Antenna Design and Optimization
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Advanced Sensor and Control Systems
  • Advanced Algorithms and Applications
  • Microgrid Control and Optimization
  • Advanced DC-DC Converters
  • Advanced Chemical Sensor Technologies
  • Multilevel Inverters and Converters
  • Access Control and Trust
  • Advanced Neural Network Applications
  • Recommender Systems and Techniques
  • Pesticide Residue Analysis and Safety
  • Remote Sensing in Agriculture
  • Horticultural and Viticultural Research
  • Remote Sensing and LiDAR Applications
  • Internet Traffic Analysis and Secure E-voting
  • Food Safety and Hygiene
  • AI in cancer detection
  • Mycotoxins in Agriculture and Food
  • Pharmacological Effects and Assays
  • Power Systems and Renewable Energy

Hebei University of Economics and Business
2025

Hebei Agricultural University
2015-2025

Dalian University of Technology
2025

Xi'an Jiaotong University
2006-2024

Electric Power Research Institute
2024

Shanghai Electric (China)
2024

Shandong Academy of Forestry
2022-2024

Harbin Medical University
2024

Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute
2022-2024

National Institutes for Food and Drug Control
2012-2024

The recently-developed DETR approach applies the transformer encoder and decoder architecture to object detection achieves promising performance. In this paper, we handle critical issue, slow training convergence, present a conditional cross-attention mechanism for fast training. Our is motivated by that in relies highly on content embeddings localizing four extremities predicting box, which increases need high-quality thus difficulty.Our approach, named DETR, learns spatial query from...

10.1109/iccv48922.2021.00363 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2021-10-01

The current study was carried out to provide a reference for the control of mycotoxin contamination in feed ingredients and complete feeds swine.A total 55 ingredients, including 14 corn, 13 wheat bran, 11 soybean meal 17 dried distillers grains with solubles (DDGS) as well 76 swine 7 creep feeds, starter grower 18 grower-finisher 10 gestating sow lactating were randomly collected from 15 farms located Beijing region China July August 2011. Immunoaffinity clean-up, using High-Performance...

10.1186/2049-1891-5-37 article EN cc-by Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology 2014-07-22

Traditionally, the classification of seed defects mainly relies on characteristics color, shape, and texture. This method requires repeated extraction a large amount feature information, which is not efficiently used in detection. In recent years, deep learning has performed well field image recognition. We introduced convolutional neural networks (CNNs) transfer into quality seeds compared them with traditional machine algorithms. Experiments showed that algorithm was significantly better...

10.1155/2019/2716975 article EN cc-by Journal of Sensors 2019-11-25

Standalone solar PV systems have emerged as potential alternatives to electricity problems in areas where a grid is unavailable. Obtaining full power from photoelectric system, DC-DC inverter, DC-AC converter, and control system presents great difficulties when building these devices. A standalone two-stage approach introduced this work with boost converter followed by an inverter battery bidirectional converter. In paper, novel virtual synchronous generator (VSG) controller designed...

10.1109/access.2022.3165664 article EN cc-by IEEE Access 2022-01-01

This paper points out the low accuracy of traditional fundamental harmonic approximation (FHA) in predicting gain characteristics and resonant behaviors full-bridge isolated bidirectional CLLC converter, which results great impediments optimally designing tank parameters. Given these drawbacks FHA for this proposes a novel operation mode analysis converter. Compared with FHA, not only explains appearance various modes, but also provides accurate description behaviors. Based on typical...

10.1109/ecce.2015.7309873 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2015-09-01

ABSTRACT Introduction We report a rapid and accurate method to determine the natural occurrence of aflatoxins (AFs) B1, B2, G1 G2 in medicinal herbs analysis 174 commercial samples by this method. Objective The aim present work is examine common herbs. Methodology AFs were extracted, purified immunoaffinity column analysed high‐performance liquid chromatography–tandem quadrupole mass spectrometry with electrospray ionisation (HPLC–MS/MS). Results can be separated within 6 min using an...

10.1002/pca.2343 article EN Phytochemical Analysis 2012-02-09

In the present study, 168 pesticides in 1,017 samples of 10 Chinese herbal medicines (CHMs) were simultaneously determined by high-performance liquid (HPLC-MS/MS) and gas (GC-MS/MS) chromatography-tandem mass spectrometry. A total 89.2% encompassed one or multiple pesticide residues, residue concentrations 60.5% less than 0.02 mg kg-1, revealing relatively low levels. The hazard quotient index methods used to estimate health risk for consumers. For a more accurate assessment, exposure...

10.3389/fphar.2021.818268 article EN cc-by Frontiers in Pharmacology 2022-02-01

The accurate quantification of plant types can provide a scientific basis for crop variety improvement, whereas efficient automatic classification methods greatly enhance management and breeding efficiency. For leafy crops such as Chinese cabbage, differences in the type directly affect their growth yield. However, current agricultural production, cabbage largely depends on manual observation lacks unified standards. Therefore, it is crucial to develop method that quickly accurately quantify...

10.3389/fpls.2024.1458962 article EN cc-by Frontiers in Plant Science 2025-01-17

This study focuses on developing a medical testing equipment management system based artificial intelligence. The integrates advanced sensor technology to monitor patient's physiological characteristics data in real-time, such as heart rate, blood pressure, body temperature, etc. and processes the through differential entropy analysis algorithm extract key health indicators. Then, this constructed deep learning neural network model predict changing trend of patient status optimized...

10.12694/scpe.v26i2.4053 article EN Scalable Computing Practice and Experience 2025-02-10

Precise prediction of mooring tension is essential for the safety and operational efficiency semi-submersible aquaculture platforms. Traditional numerical methods struggle with real-time performance due to nonlinear dynamic characteristics environmental loads. This study proposes a novel neural network approach enhance forecasting line responses, combining Ensemble Empirical Mode Decomposition (EEMD), Temporal Convolutional Networks (TCNs), Self-Attention (SA) mechanism. The training dataset...

10.3390/jmse13020327 article EN cc-by Journal of Marine Science and Engineering 2025-02-11

Three-phase voltage-source pulse width modulation (PWM) rectifier has been widely employed in various industrial applications. For the traditional dual-loop PI control of three-phase PWM rectifier, voltage loop and current have poor disturbance rejection performance long response time. A linear active (LADRC) strategy is proposed for this paper. The coupling variable external model are observed compensated by extended state observer (LESO) two-phase synchronous reference frame. LADRC...

10.1109/access.2020.2978579 article EN cc-by IEEE Access 2020-01-01

The synthesis of irregular phased arrays subject to constraint on directivity is fulfilled by convex optimization. In particular, based the membership between antenna elements and subarrays, dictionary matrix, resulting sparse excitation vector, binary vector are introduced describe array pattern exact tiling aperture. Therefore, without overlaps holes satisfying given maximum sidelobe level (SLL) minimum can be summarized as a mixed integer nonconvex programming problem, where both subarray...

10.1109/tap.2020.3044632 article EN IEEE Transactions on Antennas and Propagation 2020-12-21

Grape white rot, a devastating disease of grapevines caused by Coniella diplodiella (Speg.) Sacc., leads to significant yield losses in grape. Breeding grape cultivars resistant rot is essential reduce the regular use chemical treatments. In recent years, Chinese species have gained more attention for breeding due their high tolerance various biotic and abiotic factors along with changing climatic conditions. this study, we employed whole-genome resequencing (WGR) genotype parents 'Manicure...

10.1093/hr/uhad063 article EN cc-by Horticulture Research 2023-04-02

Phenylethanolamine A (PEAA) is a phenethanolamine member of the family β-adrenergic agonists (β-agonists) compounds. To determine PEAA residues, we established rapid direct competitive enzyme-linked immunosorbent assay (ELISA) using polyclonal antibody produced with immunogen PEAA-HSA conjugate. The showed high sensitivity, where IC(50) and limit detection were 0.3 0.02 μg/L, respectively. specificity was evaluated by measurement cross-reactivity 15 β-agonists data demonstrated that highly...

10.1021/jf3036066 article EN Journal of Agricultural and Food Chemistry 2012-10-29

Tourism recommendation systems play a vital role in providing useful travel information to tourists. However, existing rarely aim at recommending tangible itineraries for tourists within specific POI due their lack of onsite behavioral data and related route mining algorithms. To this end, novel system is proposed, which collects tourist behavior automatically regarding based on smart phone IoT technology. Then, the proposed preprocesses transform raw sequences into Tourist-Behavior pattern...

10.1155/2019/7038259 article EN cc-by Wireless Communications and Mobile Computing 2019-07-14

Abstract Fennel contains many antioxidant and antibacterial substances, it has very important applications in food flavoring other fields. The kinds contents of chemical substances fennel vary from region to region, which can affect the taste efficacy its derivatives. Therefore, is great significance accurately classify origin fennel. Recently, detection methods based on deep networks have shown promising results. However, existing spend a relatively large time cost, drawback that fatal for...

10.1038/s41598-022-17810-y article EN cc-by Scientific Reports 2022-08-10

The phenotypic parameters of crop plants can be evaluated accurately and quickly using an unmanned aerial vehicle (UAV) equipped with imaging equipment. In this study, hundreds images Chinese cabbage (Brassica rapa L. ssp. pekinensis) germplasm resources were collected a low-cost UAV system used to estimate width, length, relative chlorophyll content (soil plant analysis development [SPAD] value). super-resolution generative adversarial network (SRGAN) was improve the resolution original...

10.34133/plantphenomics.0007 article EN Plant Phenomics 2022-01-01
Coming Soon ...