A5016125733- Advanced Antenna and Metasurface Technologies
- Antenna Design and Analysis
- Antenna Design and Optimization
- Plant and animal studies
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Machine Fault Diagnosis Techniques
- Manufacturing Process and Optimization
- Metamaterials and Metasurfaces Applications
- Engineering Applied Research
- Advanced Measurement and Metrology Techniques
- Maritime Navigation and Safety
- Biological and pharmacological studies of plants
- Advanced Optical Sensing Technologies
- Geoscience and Mining Technology
- Plant Pathogens and Fungal Diseases
- Flexible and Reconfigurable Manufacturing Systems
- Microwave Imaging and Scattering Analysis
- Mycorrhizal Fungi and Plant Interactions
- Electromagnetic wave absorption materials
- Indoor and Outdoor Localization Technologies
- Electromagnetic Scattering and Analysis
- Railway Engineering and Dynamics
- Surface Roughness and Optical Measurements
- Sharing Economy and Platforms
Dalian Maritime University
2024
Wuhan University of Technology
2009-2023
Hanjiang Normal University
2018
Lingnan Normal University
2018
Michigan Technological University
1995-1998
The traditional intelligent diagnosis methods of rotating machinery generally require feature extraction the raw signals in advance. However, it is a very time-consuming and laborious process for extracting sensitive information to improve classification performance. Deep learning method, as novel machine approach, can simultaneously achieve pattern classification. With characteristics Belief Network (DBN) one-dimensional Convolutional Neural (1D-CNN) (e.g. complex nonlinear, sparse...
ABSTRACT Inverse scattering‐based microwave imaging has been an important subject of scientific research and practical engineering for centuries. In practice, anechoic chambers were always chosen as the optimal operating environment imaging. With large floor space ultrahigh cost chamber, experiments in applications remain a technical challenge. this study, dual‐frequency dual‐angle reflectionless absorbing units designed implemented, based on which portable miniaturized chamber was further...
The increasing frequency of traffic accidents involving food delivery drivers has raised public concern about the safety fast services. In response, platforms have introduced two corporate social responsibility (CSR) strategies to enhance drivers’ road safety: One in which platform assumes full for extending times, and another that empowers consumers decide on extended times. Additionally, policymakers are mandating purchase employment injury insurance their drivers. Despite these efforts,...
Abstract In order to better evaluate chemical enterprises, artificial neural networks including the back-propagation network, radial basis function network and generalized regression were used in this paper. The management enterprise was evaluated. expert scores evaluation values are analyzed. results show that can predict safety of enterprises. prediction is more accurate.
Two species of Xanthagaricus discovered in Hubei Province China are described based on the macro- and micromorphological features. Their identity is further supported by molecular analysis internal transcribed spacer (ITS) ribosomal RNA gene. The phylogeny obtained here showed that one Chinese nested an exclusive clade which combination with its striking morphological features, infers it represents a new species, named X. ianthinus, while other placed as member epipastus clade. Descriptions...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
The interaction and propagation effects among risk-influencing factors (RIFs) often lead to maritime accidents. Therefore, it is imperative conduct a quantitative risk assessment (QRA) of these accidents, which requires methodology capable capturing causal relationships in limited cases. To achieve this goal, study proposes data-driven Bayesian network (BN) model that integrates physical knowledge with the QRA. Based on collected data, combination domain knowledge, structure learning,...
Inverse scattering-based microwave imaging has been an important subject of scientific research and practical engineering for centuries. In practice, anechoic chambers were always chosen as the optimal operating environment imaging. With large floor space ultrahigh cost chamber, experiments in applications remain a technical challenge. this work, dual-frequency dual-angle reflectionless absorbing units designed based on series single-angle units, which portable chamber was established. For...
Abstract An environment to facilitate assembly process planning is proposed in this study. It includes a design support system with two agents supporting the process. One agent, and other geometric agent. The agent consists of three modules: sequence module, resource simulation module. sequence-planning module takes information generates an sequence. This structured tree form, called Constructive Assembly Tree (CAT). leaf nodes correspond components product. intermediate are operators, each...
Abstract Process Planning of a product determines the process activities during its manufacturing process. Transformation from design to final form by planning is controlled environment. In this paper, systematic representation environment and hierarchical data model represent plan studied introduced for flexibility Computer Aided (CAPP) system integration purpose. An event-driven architecture general CAPP systems established based on these models. A (U-CAPP) developed authors concepts...
The assembly line balancing problem is a complex combinatorial optimization problem, which belongs to branch of scheduling problems, and plays an important role in the course industrial engineering. However, due resource location constraints, teaching lacks intuitive interactive platform, as well tools for conducting algorithm experiments, resulting poor effectiveness. This paper designs develops simulation-experimental platform analyzes whole system design process terms needs. Then, example...
Abstract This paper predicted the gas emission in mining face with back propagation neural network, radial basis function network and general regression network. By comparing measured values prediction values, it indicated that all of three artificial networks were capable predicting emission. And showed best performance