A5101936867- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Geophysics and Gravity Measurements
- Evaluation Methods in Various Fields
- Earthquake Detection and Analysis
- Optical Wireless Communication Technologies
- Fungal and yeast genetics research
- Thermochemical Biomass Conversion Processes
- Recommender Systems and Techniques
- Forest Biomass Utilization and Management
- Animal Genetics and Reproduction
- Inertial Sensor and Navigation
- Boron and Carbon Nanomaterials Research
- Evaluation and Optimization Models
- Safety and Risk Management
- Electrochemical Analysis and Applications
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Sensors
- MXene and MAX Phase Materials
- Underwater Vehicles and Communication Systems
- Environmental Impact and Sustainability
- Energy Efficient Wireless Sensor Networks
- Advanced materials and composites
- Polyamine Metabolism and Applications
Henan Polytechnic University
2017-2018
University of Chinese Academy of Sciences
2010-2016
Institute of Geodesy and Geophysics
2016
Chinese Academy of Sciences
2008-2016
Hunan University
2014-2016
Michigan State University
2014-2016
Mayo Clinic in Arizona
2014
Heilongjiang University
2010-2012
Institute of Microbiology
2008
Ocean University of China
2007
By August 2016, 5 new-generation BeiDou satellites (BeiDou-3) have successfully been launched. The observations of a very limited number 9 International GNSS (Global Navigation Satellite System) Monitoring and Assessment Service (iGMAS) stations 52 Multi-GNSS Experiment (MGEX) from 16 July to 14 2016 are processed determine the orbits BeiDou-3 BeiDou-2 satellites, respectively. internal consistency satellite laser ranging (SLR) validations conducted for orbit validation. MEO (Medium Earth...
In this study, the characteristics of total electron content (TEC) fluctuations and their regional differences over China were analyzed by utilizing rate TEC index (ROTI) based on GPS data from 21 reference stations across during a solar cycle. The results show that there significant at different latitudes. Strong ionospheric usually observed lower latitudes in southern China, where occurrence demonstrated typical nighttime- season-dependent (equinox months) features. This phenomenon was...
This article aims at using Artificial Neural Networks (ANNs) and linear prediction to predict the physicochemical properties of woody biomass, including gross calorific value, carbon content, oxygen content. By analyzing 43 data groups, it was found that Multilayer Feedforward Network (MLFN) with 11 nodes is best model for predicting a root mean square (RMS) error 0.85; General Regression (GRNN) an RMS 1.66; 2.11.
Artificial Neural Networks (ANNs) are computational models used to predict the properties of organic compounds. In this study, we successfully established a model for predicting polarizability and absolute permittivity hydrocarbon compounds by analyzing 281 typical using General Regression Network (GRNN) Multilayer Feedfoward (MLFN) methods. Within permissible error range (30% tolerance), our results show that GRNN is an effective in materials' polarizabilities, 100% tested samples showed...
This paper has taken Shandong Peninsula as an example and constructed theoretic model of fuzzy clustering to analyze supply- demand satisfaction water resources based on the decision-making technology proposed by Professor Chen shouyu. It shows that method is strict in theory final result classified excellently for actual situation. provides a new way supply-demand degree regional further perfects evaluation system supply demand.
There is significant need for high rate communication between observing platforms in monitoring the ocean environment. Due to radio waves suffers attenuation water and acoustic systems are relatively low data rates, we demonstrated an optical system that capable of supporting underwater wireless a rate. In this paper, new simple analytical method based on general simulator Pspice developed evaluate capacity links with effects scattering absorption realistic water. The cost measure bit error...
Urban Sustainable Development Evaluation (USDE) involves various indexes, such as economic social indexes and environmental indexes. These have both qualitative ones quantitative ones, so they are suitable for fuzzy comprehensive evaluation. This paper applies ordered binary comparison method of Engineering Fuzzy Set Theory (EFST) proposed by Prof. Chen Shouyu to determine the index weight, then use pattern recognition model EFST USDE. Finally, it expounds practical application with an example.