Jinxin Liu

ORCID: 0000-0003-1084-3223
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About
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Research Areas
  • Structural Health Monitoring Techniques
  • Advanced Adaptive Filtering Techniques
  • Fault Detection and Control Systems
  • Advanced machining processes and optimization
  • Machine Fault Diagnosis Techniques
  • Vibration Control and Rheological Fluids
  • Microgrid Control and Optimization
  • Advanced Surface Polishing Techniques
  • Corporate Social Responsibility Reporting
  • Hydraulic and Pneumatic Systems
  • Industrial Technology and Control Systems
  • Advanced Algorithms and Applications
  • Advanced Machining and Optimization Techniques
  • Control Systems and Identification
  • Environmental Sustainability in Business
  • Vibration and Dynamic Analysis
  • Iterative Learning Control Systems
  • Entrepreneurship Studies and Influences
  • Acoustic Wave Phenomena Research
  • Industrial Vision Systems and Defect Detection
  • Image and Signal Denoising Methods
  • Smart Grid Energy Management
  • Speech and Audio Processing
  • Blind Source Separation Techniques
  • Soft Robotics and Applications

Xi'an Jiaotong University
2015-2024

Anhui University of Traditional Chinese Medicine
2024

Henan University of Science and Technology
2024

Westlake University
2020-2024

Guilin University of Electronic Technology
2024

Southwest University of Science and Technology
2024

Northwestern Polytechnical University
2023

Nanjing University of Aeronautics and Astronautics
2023

Sichuan University
2022

Shenyang Institute of Automation
2010-2022

Purpose Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does improve or harm firm value in emerging markets? How environments moderate relationship between value? We explicate regulatory, normative cognitive pillars institutions, manifested as regulation intensity, environmental agency pressure public pressure, respectively. Design/methodology/approach For study, a cross-sectional panel data set was assembled from...

10.1108/jbim-06-2018-0201 article EN Journal of Business and Industrial Marketing 2019-08-16

Peer-to-peer (P2P) energy management is one of the most viable solutions to incentivize prosumers in renewable microgrids. As application blockchain expends from finance field field, technology provides a new opportunity for distributed systems. However, system based on blockchains allows any node whole network read data. In many scenarios, user privacy cannot be effectively protected, and there security problem that attack traced. this paper, we propose an mode permissioned microgrid. The...

10.3390/su13031317 article EN Sustainability 2021-01-27

10.1007/s10961-025-10201-1 article EN The Journal of Technology Transfer 2025-02-28

A facile strategy to fabricate crown ether (2-methylol-12-crown-4, 2M12C4) immobilized porous polymers (PGMA-CE) was reported toward lithium(<sc>i</sc>) (Li<sup>+</sup>) recovery.

10.1039/c8nj01961d article EN New Journal of Chemistry 2018-01-01

10.1016/j.ijmachtools.2019.103458 article EN International Journal of Machine Tools and Manufacture 2019-09-09

This article investigates how two types of proactive environmental strategies (PESs) – green management and political influence affect firm performance directly under varying conditions characterising corporate venturing activities (domestic versus international). The results obtained by analysing a multi-informant dataset reveal that has stronger positive impact on than does. Moreover, international greater moderating effect domestic the link between performance, whereas, relationship...

10.1177/0266242620923897 article EN International Small Business Journal Researching Entrepreneurship 2020-06-08

10.1016/j.ijmachtools.2019.04.001 article EN International Journal of Machine Tools and Manufacture 2019-04-14

Abstract As an integrated application of modern information technologies and artificial intelligence, Prognostic Health Management (PHM) is important for machine health monitoring. Prediction tool wear one the symbolic applications PHM technology in manufacturing systems industry. In this paper, a multi-scale Convolutional Gated Recurrent Unit network (MCGRU) proposed to address raw sensory data prediction. At bottom MCGRU, six parallel independent branches with different kernel sizes are...

10.1186/s10033-021-00565-4 article EN cc-by Chinese Journal of Mechanical Engineering 2021-06-04
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