A5007469050- Postharvest Quality and Shelf Life Management
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Plant Surface Properties and Treatments
- Smart Grid and Power Systems
- Horticultural and Viticultural Research
- Power Systems and Renewable Energy
- Advanced Battery Materials and Technologies
- Millimeter-Wave Propagation and Modeling
- High-Voltage Power Transmission Systems
- Advancements in Battery Materials
- Multilevel Inverters and Converters
- Wireless Sensor Networks and IoT
- Plant Pathogens and Fungal Diseases
- Smart Parking Systems Research
- IoT and Edge/Fog Computing
- Plant Physiology and Cultivation Studies
- Traffic Prediction and Management Techniques
- HVDC Systems and Fault Protection
- Energy Efficient Wireless Sensor Networks
- Supercapacitor Materials and Fabrication
- Leaf Properties and Growth Measurement
- Advanced DC-DC Converters
- Power Systems and Technologies
- Material Properties and Processing
Shihezi University
2012-2023
Ministry of Agriculture and Rural Affairs
2021-2022
China Electric Power Research Institute
2018
The apples with early moldy-core symptoms are in the sub-healthy status and still keep commodity value. accurate recognition of fruit moldy core is a valuable challenging task for apple industry. In this study, well-trained IResNet50 network was used as feature extractor to automatically mine sensitive features from pixel grid images time frequency domains, time-frequency images. extracted multi-domain deep were fused by adaptive weighting then fed into two shallow machine learning...
Grapes are a globally popular fruit, with grape cultivation worldwide being second only to citrus. This article focuses on the low efficiency and accuracy of traditional manual grading red external appearance proposes small-sample model based transfer learning convolutional neural networks (CNNs). In naturally growing vineyards, 195,120,135 samples Grade I, II, III grapes were collected using Canon EOS 550D camera, data set 1800 was obtained enhancement technology. Then, CNN method used...
Research on intelligent transportation wireless sensor networks (ITWSNs) plays a very important role in an system. ITWSNs deploy high‐yield and low‐energy‐consumption traffic remote sensing nodes with complex parameter coordination both sides of the road use self‐organizing capabilities each node to automatically establish entire network. In large‐scale self‐organization process, importance tasks undertaken by is different. It not difficult prove that task allocation sensors NP‐hard problem,...
In hierarchically connected UHV DC projects, the 1000 kV AC filter sub-bank in converter station is provided with two 500 circuit breakers. To determine test component decay time constant when breakers break short-circuit current, relevant project was modelled electromagnetic transient program (EMTP) for calculations. It pointed out that breakers, of current should be determined solely based on single-phase to earth fault current. Calculations and analyses were made components calculated...
Grapes are a globally popular fruit, with grape cultivation worldwide being second only to citrus. This article focuses on the low efficiency and accuracy of traditional manual grading red external appearance proposes small-sample model based transfer learning convolutional neural networks (CNNs). Initially, CNN method was used pre-trained AlexNet, VGG16, GoogleNet, InceptionV3, ResNet50 network models ImageNet image dataset task. By comparing classification performance these five different...
Z-source inverter main-line voltage has a fluctuation and its frequency is same with the second harmonic of output sine wave, it will increase content which affecting performance inverter. Introduced topology control method By modeling inverter, analyzed reason DC fluctuation. Proposed to weak based on circuit design. Comparing simulation results under various parameters, verified effectiveness this method.
Multiple distributed generations construct the micro-grid system through DC bus, each generation has its own maximum power point, research on method to improve overall utilization of bus. Discussed including solar photovoltaic and wind generations, built mathematical model two used simulation methods get output curve, proposed improved MPPT for bus obtain power. Through experimental platform, verify is effective energy efficiency
Large scale wireless sensor network (LSWSN) was recently developed for grape growing industry. This technology can easily be tailored planting such as environmental variables monitoring and health status monitoring. Since nodes are low power devices with limited sensing capabilities, target coverage plays a crucial role in maximizing the rate, while most researches related to algorithm. Such problem is important enhancing efficiency. However, finding optimal an NP-hard problem. Hence,...