Hongjing Wei

ORCID: 0000-0001-9293-940X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Color perception and design
  • Digital Media and Visual Art
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Quality Function Deployment in Product Design
  • Advanced Multi-Objective Optimization Algorithms
  • Molecular Communication and Nanonetworks
  • Optical Wireless Communication Technologies
  • Assembly Line Balancing Optimization
  • Machine Fault Diagnosis Techniques
  • Color Science and Applications
  • Gear and Bearing Dynamics Analysis
  • Aesthetic Perception and Analysis
  • Non-Destructive Testing Techniques
  • Photoreceptor and optogenetics research

Guizhou Institute of Technology
2018-2023

Guizhou University
2018-2021

China Mobile (China)
2012

As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due their strong subjectivity, limited survey scope, lack of real-time data, poor visual display. However, recent progress in big data artificial intelligence (AI) are bringing a transformative AI-driven methodology with significant impact on many industries. Big the lifecycle contains valuable information, such as customer...

10.3390/app13169433 article EN cc-by Applied Sciences 2023-08-20

With the improvement of human living standards, users’ requirements have changed from function to emotion. Helping users pick out most suitable product based on their subjective is great importance for enterprises. This paper proposes a Kansei engineering-based grey relational analysis and techniques order preference by similarity ideal solution (KE-GAR-TOPSIS) method make user personalized ranking alternative products. The KE-GRA-TOPSIS integrates five methods, including Engineering (KE),...

10.3390/sym11070867 article EN Symmetry 2019-07-03

Flow shop scheduling problems have a wide range of real-world applications in intelligent manufacturing. Since they are known to be NP-hard for more than two machines, we propose hybrid genetic simulated annealing (HGSA) algorithm flow problems. In the HGSA algorithm, order obtain high-quality initial solutions, an MME combined with MinMax (MM) and Nawaz–Enscore–Ham (NEH) algorithms, was used generate population. Meanwhile, hormone regulation mechanism (SA) schedule introduced as cooling...

10.3390/app8122621 article EN cc-by Applied Sciences 2018-12-14

In recent years, people have paid more and attention to traditional manufacturing's environmental impact, especially in terms of energy consumption related emissions carbon dioxide. Except for adopting new equipment, production scheduling could play an important role reducing the total a manufacturing plant. Machine tools waste considerable amount because their underutilization. Consequently, saving can be achieved by switching machines standby or off when they lay idle comparatively long...

10.1109/access.2021.3070981 article EN cc-by IEEE Access 2021-01-01

Abstract As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due their strong subjectivity, limited survey scope, lack of real-time data, poor visual display. However, recent progress in big data artificial intelligence (AI) are bringing a transformative AI driven methodology with significant impact on many industries. Big the lifecycle contains valuable information, such as...

10.21203/rs.3.rs-2899904/v1 preprint EN cc-by Research Square (Research Square) 2023-05-15

<abstract> <p>Various intelligent methods for condition monitoring and fault diagnosis of mechanical equipment have been developed over the past few years. However, most existing deep learning (DL)-based models perform well only when applied to deal with limited types general failures, these fail accurately distinguish fine-grained faults under multiple working conditions. To address challenges, we propose a novel multiscale hybrid model (MSHM), which takes raw vibration signal...

10.3934/nhm.2023018 article EN Networks and Heterogeneous Media 2023-01-01

With the improvement of living standards, user requirements modern products are becoming increasingly more diversified and personalized. Traditional product design methods can no longer satisfy market needs due to their strong subjectivity, small survey scope, poor real-time data, lack visual display, which calls for development big data driven methodology. Big in lifecycle contains valuable information guiding design, such as customer preferences, demands, evaluation, display: online...

10.48550/arxiv.2109.11424 preprint EN cc-by-nc-sa arXiv (Cornell University) 2021-01-01

Infrared communication in the near ground free space has both military and civilian potential. To meet requirements of infrared based on a micro-electro-mechanical system Planck source/radiator, we propose modulation method with large code information content, strong confidentiality, high recognition rate. With characteristics mid-infrared light, long-range anti-EMI wireless is available. The loaded carrier signal generated by source specific frequency. Taking 3×3 array for an instance our...

10.1117/1.oe.51.12.126402 article EN Optical Engineering 2012-12-18
Coming Soon ...