A5032334038- Constructed Wetlands for Wastewater Treatment
- Plant responses to water stress
- Greenhouse Technology and Climate Control
- Geographic Information Systems Studies
- Plant Molecular Biology Research
- Human Mobility and Location-Based Analysis
- Smart Cities and Technologies
- Innovations in Aquaponics and Hydroponics Systems
- Electrical Fault Detection and Protection
- Polymer-Based Agricultural Enhancements
- Aquatic Ecosystems and Phytoplankton Dynamics
- Public Relations and Crisis Communication
- Smart Grid and Power Systems
- Advanced Computational Techniques and Applications
- Non-Destructive Testing Techniques
- Irrigation Practices and Water Management
- Phosphorus and nutrient management
- Integrated Circuits and Semiconductor Failure Analysis
- Wastewater Treatment and Nitrogen Removal
- Leaf Properties and Growth Measurement
- Sentiment Analysis and Opinion Mining
- Data-Driven Disease Surveillance
- Disaster Management and Resilience
Zhejiang A & F University
2010-2024
University of Florida
2019-2020
Zhejiang University
2010-2011
Northeast Normal University
2009
The constructed/artificial wetland system is a new sewage technique with low cost and less energy consumption for removal of nitrogen phosphorus in wastewater, the plants have important functions system. In wastewater purification, can absorb utilize nutrients (nitrogen phosphorus) directly, enhance nutrient transformation processes such as nitrification, denitrification, adsorption desorption. this study, series experiments investigating kinetics ammonium, nitrate phosphate uptake by 8...
In view of the lack advanced and mature substation fault detection facility technology, combined with characteristics actual application environment substation, a operating equipment autonomous monitoring diagnosis system based on deep learning intelligent robot is proposed. That is, algorithm, Big data analysis technology patrol HD camera are organically combined. The image information collected by high-definition fused variety sensors, then tree algorithm used to carry out real-time all in...
In the paper, two important virtual plant modeling methods, dual-scale automata and L-system, are firstly introduced. According to growth characteristics of wheat root, we construct model root using combination automaton L system, achieve dynamic simulation root.
In the paper, two important virtual plant modeling methods, dual-scale automata and L-system, are introduced firstly. According to structure characteristics of wheat root, morphological model root is then constructed using combination automaton L system. view environment factors that affect growth roots, we construct restricted combine it with model. The dynamic simulation obtained.
针对双桥并联励磁功率单元的晶闸管开路故障，提出一种基于一维卷积神经网络(1D-convolutional neural networks，1D-CNN)和长短期记忆网络(long short-term memory，LSTM)混合模型的故障诊断方法。将1号整流桥共阴极侧、共阳极侧电流和AB相线电压构造时序特征向量作为输入，利用1D-CNN提取并重构样本空间特征；考虑到输入量本身是时间序列数据，采用LSTM网络进一步提取特征。根据特征向量与故障类别对应关系实现故障诊断。仿真结果表明，该模型能够有效地实现双桥并联励磁功率单元故障诊断，具有良好的抗噪能力。