A5100705390- Spectroscopy and Chemometric Analyses
- Water Quality Monitoring and Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Metaheuristic Optimization Algorithms Research
- Digital Media Forensic Detection
- Advanced Chemical Sensor Technologies
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Marine Invertebrate Physiology and Ecology
- Identification and Quantification in Food
- Advanced Fiber Optic Sensors
- Innovative Teaching Methods
- Robot Manipulation and Learning
- Education and Work Dynamics
- solar cell performance optimization
- Water Quality Monitoring Technologies
- Image Enhancement Techniques
- Innovative Teaching and Learning Methods
- Evolutionary Algorithms and Applications
- Image Processing and 3D Reconstruction
- Photoacoustic and Ultrasonic Imaging
- Machine Learning and Data Classification
- 3D Shape Modeling and Analysis
- Reinforcement Learning in Robotics
- Photovoltaic System Optimization Techniques
Yanshan University
2008-2024
Changchun University of Science and Technology
2024
Zhejiang University
2013-2022
In recent years, large numbers of jellyfish have congregated in marine areas, leading to a decline other plankton and fisheries. Jellyfish themselves certain toxicity aggression, which serious impact on the safety human life. order detect quantity distribution underwater jellyfish, be more proactive prevention control Aurelia outbreaks, this study proposed method for in-situ detection based improved Faster R-CNN network model. Firstly, real data sets three species Qinhuangdao sea area were...
This article presents an optical fiber cantilever beam (FCB) sensor based on a Michelson interferometer (MI) structure for ultrasound detection. Optimized structural parameters of the proposed can be obtained according to simulated analysis effect sensor's performance. The experimental prepared are measured, with length FCB <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2405.34~\mu \text{m}$...
The identification of the spilled oil is an essential and important part in investigation handling spill accidents. combination near-infrared spectroscopy (NIR) chemometrics ideal for such a situation. NIR powerful effective technique qualitative information can be obtained with classification models. Support vector machines (SVM) have been introduced recently proven to spectra tasks, as material food discrimination. In this work, SVM utilized classify near infrared simulated oils gasoline,...
With the development of computer hardware, 3D scanner is cheaper, and more data can be got from scanner. The access as point cloud data. So, processing for large-scale has been new branch graphics. This paper provided a algorithm organization based on improved Kmeans. store tree. At last, verified by experiment results.
The number of jellyfish outbreaks is on the rise around world, and they have been considered a serious ecological disaster. As part emergency response plan for disasters, in-situ detection research that can distinguish species quantities urgently required to support accurate data collection. typical fully supervised regression task, counting usually regarded as requiring large labeled datasets in conventional methods. To treat few-shot task semi-supervised, novel adaptation strategy based...
Oil spills on the sea surface are seen relatively often with development of petroleum exploitation and transportation sea. great threat to marine environment ecosystem, thus oil pollution in ocean becomes an urgent topic environmental protection. To develop spill accident treatment program track source spilled oils, a novel qualitative identification method combined Kernel Principal Component Analysis (KPCA) Least Square Support Vector Machine (LSSVM) was proposed. The proposed adapt Fourier...