Dong Yang

ORCID: 0000-0002-0531-8283
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About
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Research Areas
  • Optical measurement and interference techniques
  • Spectroscopy and Chemometric Analyses
  • Orbital Angular Momentum in Optics
  • Advanced Chemical Sensor Technologies
  • Meat and Animal Product Quality
  • Biometric Identification and Security
  • Optical Systems and Laser Technology
  • Adaptive optics and wavefront sensing
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Image and Video Retrieval Techniques
  • Advanced Measurement and Metrology Techniques
  • Advanced Measurement and Detection Methods
  • Advanced Algorithms and Applications
  • Optical Coherence Tomography Applications
  • Image Retrieval and Classification Techniques
  • Image and Object Detection Techniques
  • Surface Roughness and Optical Measurements
  • Water Quality Monitoring and Analysis
  • Remote-Sensing Image Classification
  • Digital Holography and Microscopy
  • Smart Agriculture and AI
  • Seismic Waves and Analysis
  • Date Palm Research Studies
  • Hydrological Forecasting Using AI
  • Advanced Data Compression Techniques

Academy of State Administration of Grain
2020-2024

Sun Yat-sen University
2023-2024

Beijing Normal University
2009-2024

Institute of Subtropical Agriculture
2024

Tianjin Medical University Cancer Institute and Hospital
2024

China University of Petroleum, East China
2024

Shandong University
2009-2022

University of Alberta
2019

PLA Information Engineering University
2018

Beijing Research Center for Agricultural and Standards and Testing
2017

It is significant to identify the moldy status of stored maize by fungi infection in early stage. Hyperspectral imaging (HSI) combined with sparse auto-encoders (SAE) and convolutional neural network (CNN) algorithms was used classify grades kernels. The HSI data were obtained range 400–1000 nm, four from health heavy mildew distinguished using measured fungal spores maize. depth spectral features represented SAE image extracted CNN. K nearest neighbors, support vector machine (SVM), partial...

10.1080/10942912.2022.2027963 article EN cc-by International Journal of Food Properties 2022-01-26

The application of large-aperture telescopes requires the support co-phase measurement techniques for segmented mirrors. This paper proposes a novel method to detect state mirrors by applying dual-wavelength phase-shifting interferometer based on optical vortex. Theory and experiments indicate that wrapped phase map edges obtained interference vortex beam are distributed in form Fermat spiral. piston error corresponds rotation standard spiral center. In contrast, tip/tilt alteration center...

10.1364/oe.455890 article EN cc-by Optics Express 2022-04-05

Orbital angular momentum (OAM) interferometers have attracted great attention in metrology. However, OAM usually large sizes and are difficult to align. OAM-based wavefront-splitting interferometer (WSI-OAM) can achieve nano-displacement measurement with compact size easy In this manuscript, we propose demonstrate a system based on WSI-OAM. A resolution of 0.1 nm an uncertainty 0.013 is achieved accuracy higher than 99.87% linearity close 99%. This work offers practical approach miniaturize integrate

10.1364/oe.498081 article EN cc-by Optics Express 2023-07-20

The freshness of meat products during storage has received unprecedented attention. This study was conducted to investigate the feasibility a hyperspectral imaging (HSI) technique determine state cooked beef and identify contaminated areas on surface spoiled samples. Hyperspectral images were acquired in wavelength range 400-1000 nm all samples divided into three classes (freshness, medium freshness, spoilage) using measured total viable count (TVC) bacteria. Fifteen feature spectra...

10.1177/0003702817718807 article EN Applied Spectroscopy 2017-06-19

Abstract The feasibility of using hyperspectral imaging technology combined with wavelet transform and multiway partial least squares (N‐PLS) algorithm to predict the total viable count (TVC) spiced beef during storage was investigated. mean spectral data were extracted from images further decomposed in nine levels by daubechies8 (db8) function obtain an approximation coefficient (A9) detail coefficients (D1–D9). Selecting compose different three‐dimension matrixes, integrating N‐PLS...

10.1111/jfs.12390 article EN Journal of Food Safety 2017-08-23

10.11947/j.agcs.2018.20170627 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2018-06-01

A generalized shift-rotation absolute measurement method for optical surface shapes with polygonal apertures based on migration recognition by Radon transform is proposed. The rotation angles and translation distances of the test surface, measured three times, are calculated through recognition. shape aperture fitted orthogonal Zernike polynomials. Compared to existing apertures, our ensures accuracy without high-precision attitude control repeated adjustments. simple coherent, which reduces...

10.1364/ao.392851 article EN Applied Optics 2020-04-29

Abstract The orbital angular momentum (OAM) of light has garnered significant interest in recent years owing to its various applications, and extensive creative research been conducted generate OAM. However, the particular helical phase structure an optical vortex leads nonsmooth discontinuous profiles hinders accurate recovery distribution beam. Significantly, existence a wavefront dislocation failure traditional unwrapping algorithm. At same time, it is essential detect OAM modes real-time...

10.1088/2040-8986/ac3960 article EN Journal of Optics 2021-11-12

Since the sure independence screening (SIS) method by Fan and Lv, many different variable methods have been proposed based on measures under models. However, most of these are designed for specific In practice, we often very little information about data generating process can result in sets features. The heterogeneity presented here motivates us to combine various simultaneously. this paper, introduce a general ensemble-based framework efficiently results from multiple methods. consistency...

10.24963/ijcai.2019/501 article EN 2019-07-28
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