A5100729114- Water Quality Monitoring Technologies
- Advanced SAR Imaging Techniques
- Neural Networks and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Hydrological Forecasting Using AI
- Water Quality Monitoring and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Sparse and Compressive Sensing Techniques
- Air Quality Monitoring and Forecasting
- Image and Signal Denoising Methods
- Robotics and Automated Systems
- Iterative Learning Control Systems
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Adaptive Control of Nonlinear Systems
- Transportation Planning and Optimization
- Identification and Quantification in Food
- Dam Engineering and Safety
- Power Line Inspection Robots
- Food composition and properties
- Traffic Prediction and Management Techniques
- Control and Dynamics of Mobile Robots
- Conducting polymers and applications
- Advanced Image Processing Techniques
- Microbial Fuel Cells and Bioremediation
Dalian Ocean University
2010-2024
Northeast Agricultural University
2022-2024
Ministry of Education of the People's Republic of China
2015-2020
Heritage Christian University
2011
In intensive aquaculture, the growing state of aquaculture organisms is affected by many factors. Among these factors, quality water has a full impact on growth organisms. High waters will be more conducive to organisms' growth. It can enhance economic value and plays an important role in aspect developing cause aquaculture. mainly researched this paper that how establish model about status which based artificial neural network expert system. The parameters established project, using...
This study proposes a synthetic aperture radar (SAR) target recognition method via sparse representation of multi-view images with correlation analysis. The SAR are first clustered into several view sets and in each set the included share high correlations. For only one image, representation-based classification (SRC) is used for classification. joint (JSR) employed to classify more than order exploit their decisions from different then fused based on Bayesian theory. Therefore, both...
The prediction for dissolved oxygen (DO) in aquaculture ponds is a problem of multi-variables, nonlinearity and long-time lag. Neural networks (NNs) have become one ideal tools modeling nonlinear relationship between inputs outputs. In this work, GA-LM, neural network model combining Levenberg-Marquardt(LM) algorithm Genetic Algorithm (GA) was developed predicting DO an pond at Dalian, China. LM used to train NNs, showing faster convergence rate. architecture optimized by GA. performance...
Due to the nonlinearity between deformation and its influencing factors, it is difficult establish an effective practical dam prediction model. As one of ideal tools model a nonlinear relationship inputs outputs, Back Propagation Neural Network (BPNN) has recently been employed predict deformation. Despite extensive applications, BPNN slow convergence rate easily falls into local minimum, design structural optimization are still done via time-consuming reiterative trial-and-error approach....
A target recognition method for synthetic aperture radar (SAR) image based on complex bidimensional empirical mode decomposition (C-BEMD) is proposed. C-BEMD used to decompose the original SAR obtain multilevel intrinsic functions (BIMF), which reflect two-dimensional time-frequency characteristics of target. In classification stage, decomposed BIMFs are represented using multitask sparse representation. Finally, category test sample determined according reconstruction errors related...
A synthetic aperture radar (SAR) target classification method has been developed, in the study, based on dynamic reconstruction. According to SAR azimuthal sensitivity, truly useful training samples for reconstructing test sample are those with approaching azimuths and same labels. Hence, proposed performs linear presentation of local dictionary established by several selected from each class under correlation. By properly adjusting correlation constraint, can be reconstructed at different...
Supercapacitor can get high energy density and the ability of quick charging discharging.In this work, different mass ratios composite electrodes mixed with active carbon (AC) based on RuO 2 • xH O, were prepared to study electrical performance parameters incorporations.Through Conway's model impedance spectroscopy, electrode has been established, it is validated by experiments their electrochemical performances for proportions fabricated O carbon.The simulation results show that...
In order to further improve and enhance the teaching effect of robot, Robot BASIC simulation software is used in robot technology. According characteristics software, this paper discusses role technology with classroom teaching, experiment curriculum design graduation design. This method can students' learning interest robot. Theory proposed are tested by simulations. The results analysis have proved that application correct feasible.