A5043680593- Radar Systems and Signal Processing
- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced SAR Imaging Techniques
- Gas Sensing Nanomaterials and Sensors
- Advanced Chemical Sensor Technologies
- Direction-of-Arrival Estimation Techniques
- Antenna Design and Optimization
- Underwater Acoustics Research
- Analytical Chemistry and Sensors
- Distributed Sensor Networks and Detection Algorithms
- Water Quality Monitoring Technologies
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- PAPR reduction in OFDM
- Antenna Design and Analysis
- Speech and Audio Processing
- Geological and Geochemical Analysis
- Hand Gesture Recognition Systems
- Berberine and alkaloids research
- Energy Efficient Wireless Sensor Networks
- Microwave Engineering and Waveguides
- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
Jiangsu University of Science and Technology
2015-2025
Shijiazhuang Tiedao University
2023-2025
Ludong University
2023-2024
China Geological Survey
2020-2024
First Affiliated Hospital of Henan University
2023-2024
Inner Mongolia University of Technology
2024
Wuhan University of Technology
2024
Beijing Technology and Business University
2023
The University of Melbourne
2023
Henan Bioengineering Technology Research Center
2023
The double-layer (DL) cable-supported photovoltaic (PV) module system is an emerging type of structure that has garnered significant attention in recent years due to its large span, strong terrain adaptability, and economic advantages. As it a flexible supported by cables, wind-induced vibrations can lead structural instability or even component damage, posing serious threat the safety PV power plants. Determining vibration characteristics DL foundation for ensuring safety. In this study,...
Intelligent reflecting surface (IRS) composed of a large number low-cost passive elements has attracted significant attention from communication communities because its ability to substantially improve the performance. In this paper, aperture area and radiation pattern IRS are considered, novel geometry-based three-dimensional (3-D) wideband channel model is proposed for IRS-assisted unmanned aerial vehicle (UAV) systems. model, reflection phase designed by jointly considering element...
Dynamic gesture recognition using millimeter-wave radar has a broad application prospect in the industrial Internet of Things (IoT) field. However, existing methods random dynamic interference environment, such as throwing objects and waving easily cause wrong recognition. This article proposes method based on convolutional neural network (CNN)-Transformer to solve this problem. First, we reshape original echoes acquired by frequency-modulated continuous-wave (FMCW) into 3-D data blocks...
This study utilized a hydrothermal method and air calcination to prepare bimetallic metal-organic framework (MOF) derived Co3O4/SnO2 nanocomposite material, which was employed as sensing material for ethanol detection. The structure, elemental composition, surface morphology of materials were defined using X-ray diffraction (XRD), photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), transmission (TEM). Compared SnO2 nanoparticles from frameworks, the framework-derived...
In order to improve the radio frequency stealth ability of phased array radars, a novel resource scheduling method radar network for target tracking in clutter is presented. Firstly, relationship model between and accuracy built, sampling interval, power, waveform will influence predicted error covariance matrix through transition measurement noise. Then, algorithm based on Markov decision process which converted be binary optimization problem proposed, an improved wind-driven presented...
With a large population and rapid urbanization, there are still many challenges to optimize the ecological-agricultural-urban space. Here, taking Yulin City, situated on Loess Plateau of China as case in point, we explored spatial suitability evaluation Building upon Chinese government’s concept “resource environmental carrying capacity territorial development evaluation” (hereinafter referred “double evaluation”), this study applies machine learning planning It explores an intelligent...
Abstract Opportunistic array radar is a new system that can improve the modern performance effectively. In order to its radio frequency stealth ability, novel coordination method of opportunistic radars in network for target tracking clutter presented. First, database cross section targets built, then signal‐to‐noise ratio netted computed according and range target. Then joint probabilistic data association algorithm improved with consideration emitted power radar, which has main impact on...
In this letter, we investigate covert communication in relay networks with selection. We consider the scenario that while forwarding source's message, selected opportunistically transmits its own message to destination covertly. derive probability of detection error (PDE) and average rate (ACR) a closed form, based on which analyse effects system parameters performance communication. Our analysis indicates applying selection causes decrease PDE, however, it can provide an ACR gain when...
The rowhammer bug belongs to software-induced hardware faults, and has been exploited form a wide range of powerful attacks. Yet, how effectively detect such attacks remains challenging problem. In this paper, we propose novel approach named RADAR (Rowhammer Attack Detection via A Radio) that leverages certain electromagnetic (EM) signals particular, have found there are recognizable hammering-correlated sideband patterns in the spectrum DRAM clock signal. As inevitable physical side effects...
The navigation accuracy of the ship can be improved by associating output tracks radar with that automatic identification system (AIS). traditional association method only uses track features (including position, speed, and heading angle) has low weak scene adaptability. We integrate through deep learning to associate AIS tracks. First, we employ autoencoder (AE) reduce noise original data. statistical distances two in are obtained as new map data high-dimensional space extract fully...
Marine fish target detection technology is of great significance for underwater vehicles to realize automatic recognition. However, the complex environment and lighting conditions lead background collected image more irrelevant interference, which makes difficult. In order detect targets accurately quickly, a real-time network based on improved YOLOv5s proposed. Firstly, Gamma transform introduced in preprocessing part improve gray contrast marine image, convenient model detection. Secondly,...
Iridoid components have been reported to significant neuroprotective effects. However, it is not yet clear whether the efficacy and mechanisms of iridoid with similar structures are also similar. This study aimed compare effects eight (catalpol (CAT), genipin (GE), geniposide (GEN), geniposidic acid (GPA), aucubin (AU), ajugol (AJU), rehmannioside C (RC), D (RD)) based on corticosterone (CORT)-induced injury in PC12 cells. cells were randomly divided into a normal control group (NC), model...
Abstract Semantic segmentation of underwater fish images is vital for monitoring stocks, assessing marine resources, and sustaining fisheries. To tackle challenges such as low accuracy, inadequate real‐time performance, imprecise location in current methods, a novel lightweight U‐Net model proposed. The proposed acquires more details by applying multiple‐input approach at the first four encoder levels. achieve both high multi‐scale residual structure (MRS) module to reduce parameters...