A5101848451- Advanced Measurement and Detection Methods
- Infrared Target Detection Methodologies
- Optical Systems and Laser Technology
- Machine Fault Diagnosis Techniques
- Remote Sensing and Land Use
- Evaluation Methods in Various Fields
- Geoscience and Mining Technology
- Elite Sociology and Global Capitalism
- Chinese history and philosophy
- Anomaly Detection Techniques and Applications
- Engineering Diagnostics and Reliability
- Electromagnetic Compatibility and Noise Suppression
- Network Time Synchronization Technologies
- Research, Science, and Academia
- Advanced Decision-Making Techniques
- Land Use and Ecosystem Services
- Structural Health Monitoring Techniques
- Soil Moisture and Remote Sensing
- Infrared Thermography in Medicine
- Advanced Algorithms and Applications
- Fault Detection and Control Systems
- Metallurgical Processes and Thermodynamics
- Geophysics and Gravity Measurements
- Military Defense Systems Analysis
- Hydrocarbon exploration and reservoir analysis
Hohai University
2018-2019
Wuhan University
2015
State Key Laboratory of Pulsed Power Laser Technology
2013
PLA Electronic Engineering Institute
2007-2013
Second Hospital of Liaohe Oilfield
2012
Civil Aviation Management Institute of China
2010
State Key Laboratory of Remote Sensing Science
2001
Chinese Academy of Sciences
2001
Through the analysis of satellite remote sensing image data, identification newly added buildings in same area can be realized to judge use land. The based on images, involving object extraction, semantic segmentation and change detection. difficulty is not only identify changes images different periods, but also with original buildings. Both recognition effect detection precision traditional method mathematical modeling need improved. SegNet neural network a kind deep convolution network....
Abnormal signal detection plays a significant role in monitoring the state of running machinery. Most previous methods deem abnormal an issue analysis, but this strategy may be ineffective due to high noise original data. Aiming solve problem, study regards as image classification, such that advanced removal and feature representation can investigated with aim improving abnormality accuracy. Excellent deep learning-based classification are study, which directly output results using data...
As the key link of power transmission and distribution, energy saving emission reduction work substation has important significance.Due to its special nature, it is very difficult evaluate analyze smart substation.The purpose construct evaluation system operation status in order promote upgrading transformation.This paper discussed compared several methods for construction implementation index substation, which can provide a reference establishment.
Using the Medium Voltage(MV) distribution line as a communication medium of automation and public could also be cost-effective, advantageous effective way compared to other systems because it is an existing infrastructure. In order investigate MV PLC's signal leakage interference & transmission characteristics at frequency range from 20 500 kHz, attenuation, impedance, noise different Voltage power were measured, results statistical analysis have been achieved by PC. Furthermore effects PLC...
The desire to maximize target detection range focuses attention on algorithms for detecting and tracking point targets. However, is a challenging task two difficulties: the one targets occupying only few pixels or less in complex noise background clutter; other requirement of computational load real-time applications. Temporal signal processing offer superior clutter rejection that standard spatial approaches. In this paper, traditional single frame algorithm based prediction improved...
Intelligent fault diagnosis is an interesting topic in current period. In practice, can ensure the safety of process industry production, which prevent unnecessary loss caused by fault. Rotating elements are key component industrial production equipment, also vulnerable during running process. Therefore, most researches focus on faults that found rotating elements, such as bearings. However, challenging since original signal collected from commonly non-stationary nature. this time,...
Abstract Many karst depressions with diameters of 300 m to 500 m, suitable for constructing Arecibo-style radio telescopes, were identified in the south Guizhou Province by Remote Sensing (RS) and Geographic Information System (GIS) technologies together field investigations. Fundamental topography landform databases established 391 candidate depressions, using GIS 3-dimensional images at a scale 1:10000, then simulated fit spherical antenna.