A5009319979- Wood and Agarwood Research
- Image Processing Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Advanced Image Processing Techniques
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Advanced Measurement and Detection Methods
- Infrared Target Detection Methodologies
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- Robotics and Sensor-Based Localization
- Image Enhancement Techniques
- Power Systems and Renewable Energy
- Surface Roughness and Optical Measurements
- Robotic Path Planning Algorithms
- Remote-Sensing Image Classification
- Image and Signal Denoising Methods
- Sperm and Testicular Function
- Advanced Measurement and Metrology Techniques
- Smart Agriculture and AI
- Cloud Computing and Resource Management
- 3D Surveying and Cultural Heritage
Zhengzhou University
2024
Guangxi University of Science and Technology
2021-2024
Sun Yat-sen University
2024
Wuhan National Laboratory for Optoelectronics
2024
Huazhong University of Science and Technology
2024
Zhangjiagang First People's Hospital
2024
Beijing University of Posts and Telecommunications
2024
Soochow University
2024
Kyushu University
2024
Qinghai Normal University
2024
This research demonstrates an OTS-based temperature-sensing afferent neuron that features low power consumption and a compact circuit structure.
Automobile exhaust-derived particulate matter 2.5 (PM2.5) can cause spermatogenic cell damage, potentially resulting in male infertility. This study uses prepubertal Sprague Dawley (SD) rats to explore the molecular mechanisms by which automobile PM2.5 causes damage and induces spermatogenesis dysfunction during sexual maturity disrupting mitochondrial unfolded protein response (UPRmt) cells. Male SD were randomly divided into four groups: control (intratracheal instillation of normal...
Wood grading and wood price are mainly connected with the defect species. In this paper, a quantitative detection scheme species qualitative identification proposed simultaneously based on 3D laser scanning point cloud. First, an Artec scanner is used to scan surface get Each contains its <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>X</mml:mi></mml:mrow></mml:math>, id="M2"><mml:mrow><mml:mi>Y</mml:mi></mml:mrow></mml:math>,...
As one of the important application scenarios Green Internet Things (IoT), development smart grid is an means to promote energy system revolution. Future power will rely heavily on devices based IoT concept. 5G standard matures and put into commercial use, green interconnected mobile network has shown great potential. With slicing technology, a wireless private can be virtualized for each industry better meet requirements security, reliability flexibility. Considering differentiated service...
Abstract The image information and spectral of wood sections can be used to identify species. Hyperspectral images have both information, but they disadvantages such as large data capacity, slow reading speed, the necessity expensive equipment for their acquisition. In this study, classification results Pterocarpus by using visible/near infrared (VIS/NIR) RGB were compared with hyperspectral images. VIS/NIR curves, Hyperspectral, five species similar transverse-sections collected....
A novel algorithm for the direction of arrival (DOA) estimation based on fractional Fourier transform (FRFT) is proposed. Firstly, using properties FRFT and mask processing, Multi-component LFM sig-nals are filtered demodulated into a number stationary single frequency signals. Then one-dimensional (1-D) signals can be achieved by combining with tradi-tional spectrum search method in (FRF) domain. As multi-component signals, there no cross-term interference, mean square error (MSE)...