A5100321162- UAV Applications and Optimization
- GNSS positioning and interference
- Advanced Antenna and Metasurface Technologies
- Inertial Sensor and Navigation
- Indoor and Outdoor Localization Technologies
- Distributed Control Multi-Agent Systems
- Advanced Wireless Communication Technologies
- Electromagnetic wave absorption materials
- Error Correcting Code Techniques
- Dielectric materials and actuators
- Advanced Wireless Communication Techniques
- Wireless Communication Security Techniques
- Cooperative Communication and Network Coding
- Ferroelectric and Piezoelectric Materials
- MXene and MAX Phase Materials
- Antenna Design and Optimization
- Wireless Signal Modulation Classification
- Telecommunications and Broadcasting Technologies
- Superconducting and THz Device Technology
- Capital Investment and Risk Analysis
- Network Security and Intrusion Detection
- Merger and Competition Analysis
- Analytical Chemistry and Chromatography
- Service-Oriented Architecture and Web Services
- Microwave Dielectric Ceramics Synthesis
Hengshui University
2025
Aerospace Information Research Institute
2024-2025
Chinese Academy of Sciences
2024-2025
University of Chinese Academy of Sciences
2024-2025
Zhengzhou University of Aeronautics
2022-2024
Shanghai University
2024
Chang'an University
2024
University of Science and Technology Beijing
2024
Beijing Forestry University
2024
State Forestry and Grassland Administration
2024
With the expanding scope of human activities in marine environments, efficient detection and tracking mobile targets on ocean's surface have become increasingly crucial. SAR constellation can obtain ground observation data based user requests subject to visibility conditions. Now it is an indispensable tool sea moving target search Tasks. Satellite resources are scarce limited, demands diverse. How rationally dispatch satellite meet needs maximum extent improve application efficiency urgent...
Synthetic Aperture Radar (SAR) constellations have become a key technology for disaster monitoring, terrain mapping, and ocean surveillance due to their all-weather high-resolution imaging capabilities. However, the design of large-scale SAR faces multi-objective optimization challenges, including short revisit cycles, wide coverage, high-performance imaging, cost-effectiveness. Traditional methods, such as genetic algorithms, suffer from issues like parameter dependency, slow convergence,...
Intelligent unmanned aerial vehicle (UAV) swarm may accomplish complex tasks through cooperation, relying on inter-UAV communications. This paper aims to improve the communication performance of intelligent UAV system in presence jamming, by multi-parameter programming and reinforcement learning. considers a system, where between base station is jammed multiple interferers. Compared with existing work, UAVs can exploit degree-of-freedom frequency, motion antenna spatial domain optimize...
The genus Bothropolys is mostly known from North America and East Asia. So far eleven species of are reported in China. A new lithobiid species, Bothropolysbiserialis sp. nov., described illustrated the Yintiaoling National Nature Reserve Wuxi County, Chongqing Municipality, south-western primarily compared with B.yoshidai Takakuwa, 1939, Hubei Fujian Provinces, China, as well Japan Korea B.curvatus Yunnan Province, B.rugosus (Meinert, 1872), widely distributed but it can easily be...
The chemical identification of precursor synthesis pathways is crucial for enforcing the Chemical Weapons Convention (CWC) by facilitating forensic tracking organophosphorus nerve agents. This study introduces initial...
Frequency hopping communication and spread spectrum are the common means of anti-jamming, these have their own limitations. In case unpredictable jamming, reinforcement learning algorithm can provide good guidance for frequency. Firstly, this paper introduces framework system jamming modes commonly used in communication. Then basic principle Q-Learning is briefly introduced. Meanwhile, meanings parameters explained. part numerical simulation, different to test performance algorithm. It...
Abstract:
Due to the fact that individual knowledge is often inadequate and deficient in group decision-making problems, it commonly seen preference information provided by decision makers are incomplete. To encounter this problem lots of relevant researches have already been carried out. Ho wever, previous methods only take into account either expert who incomplete preference, or rest group. be more thorough comprehensive, paper combined both parts information, first setting unknown values as output...
Quasi cyclic LDPC (QC-LDPC) codes consisting of circulant permutation matrices (CPM-QC-LDPC) are one the most attractive types due to their many advantages. In this paper, we mainly do some research on CPM-QC-LDPC codes. We first propose a two-stage decoding scheme based parity check matrix transform (MT), which can efficiently improve bit error rate performance. To optimize tradeoff between hardware implementation complexity and performance, an improved method that combines our proposed MT...
Abstract The valuation and planning of complex projects are becoming increasingly challenging with rising market uncertainty the deregulation many industries, which have also raised need for efficient risk management. We take perspective a private firm interested in sequential capacity expansion project develop framework measuring downside serial optimising sequence stages. Under general distributional assumptions duration each stage, we present an accurate representation project’s net value...
The Leaf Area Index (LAI) is a critical parameter that sheds light on the composition and function of forest ecosystems. Its efficient rapid measurement essential for simulating estimating ecological activities such as vegetation productivity, water cycle, carbon balance. In this study, we propose to combine high-resolution GF-6 2 m satellite images with LESS three-dimensional RTM employ different machine learning algorithms, including Random Forest, BP Neural Network, XGBoost, achieve LAI...
The advanced alkaline hydrogen evolution reaction (HER) catalysts should have low water dissociation energy barrier and fast kinetics. However, the single component transition metal usually show insufficient activation...