Xin Ming

ORCID: 0009-0001-9704-7870
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Research Areas
  • Machine Fault Diagnosis Techniques
  • Remote Sensing and Land Use
  • Service-Oriented Architecture and Web Services
  • Rough Sets and Fuzzy Logic
  • Advanced Computational Techniques and Applications
  • Advanced Text Analysis Techniques
  • Evaluation and Optimization Models
  • Face recognition and analysis
  • 3D Shape Modeling and Analysis
  • Soil Carbon and Nitrogen Dynamics
  • Data Mining Algorithms and Applications
  • Polymer-Based Agricultural Enhancements
  • Advanced Vision and Imaging
  • Wireless Sensor Networks and IoT
  • Crop Yield and Soil Fertility
  • Elevator Systems and Control
  • Greenhouse Technology and Climate Control
  • Leaf Properties and Growth Measurement

Shenyang University of Technology
2024

Henan Agricultural University
2011-2017

In the winter-wheat and summer-maize multiple cropping system in lime concretion black soil of Huanghuaihai Plain, effects three tilling methods (conventional tillage, rotary subsoiling tillage) wheat season coupling with nitrogen treatments (120 kg·hm-2, 225 330 kg·hm-2) before maize sowing on activities microorganisms enzymes re-lated transformation, inorganic content rhizosphere during main growth stages maize, as well yield were investigated. The results showed that tillage had highest...

10.13287/j.1001-9332.201701.012 article EN PubMed 2017-01-01

Readily editable mesh blendshapes have been widely used in animation pipelines, while recent advancements neural geometry and appearance representations enabled high-quality inverse rendering. Building upon these observations, we introduce a novel technique that reconstructs mesh-based blendshape rigs from single or sparse multi-view videos, leveraging state-of-the-art We begin by constructing deformation representation parameterizes vertex displacements into differential coordinates with...

10.48550/arxiv.2401.08398 preprint EN other-oa arXiv (Cornell University) 2024-01-01

When conducting condition recognition research on AC contactor vibration signals through time-frequency analysis, the feature data exhibit a high degree of redundancy, which leads to repetitive information and hinders accuracy recognition. To address redundancy issue in features signals, this study introduces selection method based Regularized Random Forest with Recursive Selection (RFRS). Initially, test platform for was established, domain were extracted. Subsequently, traditional (RF)...

10.1371/journal.pone.0310110 article EN cc-by PLoS ONE 2024-09-06

In order to achieve the digital management of null-pollution agricultural products certification and by adopting techniques such as Web Service, distributed database workflow, this essay has completed design development system based on J2EE platform. It includes data service subsystem, declare subsystem workflow subsystem. This can highly automize standardize key link origin product review filing materials, site inspection environment detection. automatically generate report evaluation...

10.4028/www.scientific.net/amr.347-353.2169 article EN Advanced materials research 2011-10-07

E-bussiness has grown rapidly in the last decade and massive amount of data on customer purchases, browsing pattern preferences been generated. Classification electronic plays a pivotal role to mine valuable information thus become one most important applications E-bussiness. Support Vector Machines are popular powerful machine learning techniques, they offer state-of-the-art performance. Rough set theory is formal mathematical tool deal with incomplete or imprecise its feature selection. In...

10.4028/www.scientific.net/amr.230-232.625 article EN Advanced materials research 2011-05-01

The study object is wheat. Through the observation and analysis on morphological structure of wheat plant, concepts microstate, substrate microstate are put forward, growth mechanism model established, thus description control morphogenesis process could be realized. Based branch characteristics data based axis proposed to realize structural storage plant topological organ feature data. On this basis, thought "growth - geometric modeling display model", technical framework form visualization...

10.4028/www.scientific.net/amm.195-196.1300 article EN Applied Mechanics and Materials 2012-08-01
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