A5100644838- Neural Networks and Reservoir Computing
- Hydraulic Fracturing and Reservoir Analysis
- Power Systems and Technologies
- Geophysics and Gravity Measurements
- Reservoir Engineering and Simulation Methods
- Inertial Sensor and Navigation
- Advanced Memory and Neural Computing
- Thermal properties of materials
- Seismology and Earthquake Studies
- Microgrid Control and Optimization
- Flood Risk Assessment and Management
- Power Systems and Renewable Energy
- Optical Systems and Laser Technology
- Advanced Decision-Making Techniques
- Metamaterials and Metasurfaces Applications
- Environmental and Agricultural Sciences
- Digital Media and Visual Art
- Advanced DC-DC Converters
- Smart Grid and Power Systems
- Structural Analysis and Optimization
- Advanced Measurement and Metrology Techniques
- Microbial Community Ecology and Physiology
- Advanced Technology in Applications
- Evaluation Methods in Various Fields
- Evaluation and Optimization Models
Tibet University
2022-2025
Anhui Xinhua University
2024
Guangzhou Xinhua University
2024
China University of Petroleum, Beijing
2024
SEGi University
2023
Harbin Institute of Technology
2022
Beijing Institute of Technology
2022
NARI Group (China)
2022
Hunan First Normal University
2022
Dahua Technology (China)
2022
The bacterial communities of activated sludge are correlative with influent characteristics, geographical discrepancies, and environmental variables, which essential for wastewater treatment plants (WWTPs). However, the comprehensive deciphering community diversity in high-altitude WWTPs is scarce Tibet, China. This study collected samples from four A2O (2980–3650 m above sea level) Tibet. Illumina NovaSeq high-throughput sequencing revealed that Proteobacteria was most abundant phylum...
The COVID-19 epidemic at the end of 2019 is a typical global public health event. It has spread to more than 200 countries around world. In face sudden illness, emergency department first choice for most patients, and it often grasp basic situation patients. process processing data big center, how ensure privacy patients while using medical reasonably. This paper mainly takes center as research object. Put important on block chain that remains traceable throughout process, cannot be tampered...
Convolutional neural networks (CNNs) are representative models of artificial (ANNs), that form the backbone modern computer vision. However, considerable power consumption and limited computing speed electrical platforms restrict further development CNNs. Optical considered next-generation physical implementations ANNs to break bottleneck. This study proposes a spectral convolutional network (SCNN) with function matter meta-imaging, namely identifying composition mapping its distribution in...
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Abstract As one the most important recovery mechanisms of steam‐assisted gravity drainage (SAGD), is largely dependent on inclination angle steam chamber edge. The existence solution‐gas causes an ellipsoid‐shaped that has small at bottom, which leads to inefficient and slows down oil production. To address this problem, study proposes a new scheme, variable‐pressure SAGD (VP‐SAGD). It basically process, certain stages pressure surge induced by controlling operating conditions so shape can...
<abstract><p>Based on the type-2 Takagi-Sugeno (IT2 T-S) fuzzy theory, a non-autonomous complex-valued dynamical system with discontinuous interconnection function is formulated. Under framework of Filippov, finite-time stabilization (FTS) problem investigated by using an indefinite-derivative Lyapunov method, where derivative constructed allowed to be positive. By designing switching state feedback controller involving time-varying control gain parameters, several sufficient...
BeiDou Navigation Satellite System (BDS) implemented global networking in 2020, marking that BeiDou-3 (BDS-3) has stepped into a new era of positioning, navigation and timing services, it is the best time to develop apply BDS-3 provide quality services users around world. In order analyze performance precise point positioning (PPP), RTKLIB open source program package based on Visual Studio 2017 compilation platform transplanted re-developed, stations with signal receiving capability selected...
Weighted average temperature (Tm) is one of the key parameters to determine accuracy GNSS water vapor inversion. Aiming at problem that local weighted model based on machine learning method considers less influence regional relative elevation, it difficult obtain meteorological data in area without radiosonde observations. Taking three stations Poyang Lake as an example, nonlinear modeling analyzed by using provided ERA5 and introducing elevation input modeling. Two methods BP neural network...
Abstract According to the experience in actual engineering, surface topography usually consists of three parts: shape error, waviness and roughness. The error message is more important concerned analysing evaluating performance work pieces assembling. This paper proposes a method extraction based on wavelet filtering: first, set simulated data generated by second, process filtering designed, then, from extracted according designed compared results with obtained traditional methods, finally...
Considering the lack of demand response interoperability testing system between power grid and residential load, this paper designs realizes an for adjustable load - interaction. Firstly, it evaluates concerning information interchange standard interoperable test requirement in diverse scenes. Secondly, finite-state machine proposes approach establishing multiagent suite. Thirdly, constructs architecture, tests procedures functions, develops system. It provides technical support flexible...
In order to solve the problem of large leakage current and poor parameter robustness three-phase H8 inverter, an auxiliary power supply based nine switch transformerless photovoltaic grid-tied (AP-H9) inverter is proposed. The limits common mode voltage system 2/3 times DC side without increasing loss control difficulty, so as effectively suppress current. At same time, a model-free predictive method on ultra-local model gain dynamic part are updated online using information past two times,...