A5070359332- Telecommunications and Broadcasting Technologies
- Advanced Data and IoT Technologies
- Thermal Analysis in Power Transmission
- Meteorological Phenomena and Simulations
- GNSS positioning and interference
- Indoor and Outdoor Localization Technologies
- High voltage insulation and dielectric phenomena
- Structural Health Monitoring Techniques
- Ionosphere and magnetosphere dynamics
- Icing and De-icing Technologies
- Software-Defined Networks and 5G
- Inertial Sensor and Navigation
Henan Polytechnic University
2023
PowerChina (China)
2022
Jiangxi Institute Of Economic Administraors
2021
China University of Mining and Technology
2021
In the meteorology of Global Navigation Satellite System, weighted mean temperature (Tm) is a key parameter in process converting zenith wetness delay into precipitable water vapor, and it plays an important role vapor monitoring. this research, two deep learning algorithms, namely, recurrent neural network (RNN) long short-term memory (LSTM), were used to build high-precision model for China using their excellent time series capability. The needs site location information measured surface...
Abstract This paper presents a new method for in-field calibration of accelerometers to address the problems low efficiency and high cost associated with traditional methods. A nonlinear mathematical model accelerometer is established, function analysed deduced function. Then, an adaptive Northern Goshawk Optimisation (NGO) algorithm based on prior knowledge enhancement introduced. collecting multi-position data hand-held introduced, proposed used calibrate nine parameters accelerometer’s...
This paper proposes a resource allocation method based on deep learning in power internet of things. The uses density-based spatial clustering noisy applications (DBSCAN) to analyze data, and then trains neural networks (DNN) the results DBSCAN data. show that our can significantly improve user's quality service (QoS).