A5007684087- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- Big Data Technologies and Applications
- Microwave Engineering and Waveguides
- Advanced Algorithms and Applications
- Antenna Design and Analysis
- Arctic and Antarctic ice dynamics
- Oceanographic and Atmospheric Processes
- Robotics and Sensor-Based Localization
- Economics of Agriculture and Food Markets
- Freezing and Crystallization Processes
- Economic and Environmental Valuation
- Wastewater Treatment and Nitrogen Removal
- Landfill Environmental Impact Studies
- Wireless Signal Modulation Classification
- Material Dynamics and Properties
- Building Energy and Comfort Optimization
- Ocean Waves and Remote Sensing
- Advanced Sensor and Control Systems
- Cloud Data Security Solutions
- Wireless Sensor Networks and IoT
- Radar Systems and Signal Processing
- Phytoestrogen effects and research
- Extraction and Separation Processes
- Privacy-Preserving Technologies in Data
Tsinghua University
2016-2025
Yanbian University
2025
National Marine Environmental Forecasting Center
2020-2023
Ministry of Natural Resources
2020-2021
Chongqing Academy of Science and Technology
2017
National Laboratory for Superconductivity
2017
City College of New York
2016
Louisiana State University Agricultural Center
2013
Zhengzhou University of Light Industry
2009
Nanchang University
2007
A critical bottleneck of massive multiple-input multiple-output (MIMO) system is the huge training overhead caused by downlink transmission, like channel estimation, beamforming and covariance observation. In this paper, we propose to use state information (CSI) a small number antennas extrapolate CSI other reduce overhead. Specifically, design deep neural network that call an antenna domain extrapolation (ADEN) can exploit correlation function among antennas. We then learning (DL) based...
In order to reduce the downlink training overhead of mmWave communications, we propose a novel beamforming strategy using uplink sub-6GHz channel and pilots that are sent from few active antennas. Specifically, design dual-input neural network architecture, called FusionNet, merge The proposed fusion model could intelligently adjust attention paid (by network) for by an mechanism. output FusionNet represents probability each beam being optimal one. We also antenna selection can choose better...
The integration of Large Language Models (LLMs) into software development has revolutionized the field, particularly through use Retrieval-Augmented Code Generation (RACG) systems that enhance code generation with information from external knowledge bases. However, security implications RACG systems, risks posed by vulnerable examples in base, remain largely unexplored. This risk is concerning given public repositories, which often serve as sources for base collection are usually accessible...
Over-proliferation, activation, or aberrant CD4+ T cell differentiation causes various immune-related diseases. DCs are significant professional APCs that regulate the of cells to participate in an inflammatory response. IOP is edible fungal polysaccharide with immunoregulatory and anti-inflammatory bioactivities, however, cellular mechanisms by which they immune system exert their effects remain unclear. The present study aimed investigate on regulation correlative related DCs. did not...
Municipal landfill leachate is a high strength wastewater characterized by concentrations of organics and ammonia potentially containing toxic materials. The paper reports the results laboratory scale investigation aimed at evaluating effectiveness mature municipal treatment biological stage (used SBBR as treatment) to study nitrogen removal capabilities for sanitary concentration. monitored sample taken from Chang Sheng bridge site in Chongqing city-China, has its COD, BOD5 NH3-N about...
Millimeter-wave (mmWave) communications with abundant spectrum resources have become an enabling technology for high throughput, ultra-reliable, and low latency (URLLC). Since the mmWave signal is sensitive to blockage, accurate base station (BS) selection beam searching are premises of achieving URLLC. In this paper, we consider systems where mobile users served by roadside unit (RSU). We propose a multi-camera view based proactive RSU scheme that can predict optimal user in next frame...
Abstract. The Arctic regional coupled sea-ice–ocean–atmosphere model (ArcIOAM) has been developed to provide reliable sea ice prediction on seasonal timescales. description and implementation of ArcIOAM its preliminary results for the year 2012 are presented in this paper. In configuration, Community Coupler 2 (C-Coupler2) is used couple sea-ice–oceanic configuration MITgcm (Massachusetts Institute Technology general circulation model) with atmospheric Polar WRF (Weather Research...
With the rapid development of manufacturing technology high temperature superconductive YB[Formula: see text]Cu 3 O[Formula: text] YBCO materials and decreasing in cost production, is marching into industrial areas with its good performances as source high-magnetic field rather low reaching superconductivity. Based on analysis performance superconductors magnetic separation both home abroad, we propose a new approach taking tape to make solenoid separatior ores. The paper also looks future...
Abstract The thesis explained the construction and development path of application engineering big data technology for global marine environment forecasting: opening up a collection source forecasting, developing comprehensive lake deeply digging applying multi-factor composite multi-model coupled numerical forecasting method combining with international scientific technological cooperation polar expedition practice, to create groups forecasting. Secondly, introduced overview, social...