A5100321162- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Advanced Antenna and Metasurface Technologies
- Indoor and Outdoor Localization Technologies
- GNSS positioning and interference
- Cooperative Communication and Network Coding
- Dielectric materials and actuators
- Advanced Wireless Communication Techniques
- Error Correcting Code Techniques
- Electromagnetic wave absorption materials
- Wireless Communication Security Techniques
- Inertial Sensor and Navigation
- MXene and MAX Phase Materials
- Advanced Wireless Communication Technologies
- Ferroelectric and Piezoelectric Materials
- Economic Policies and Impacts
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Capital Investment and Risk Analysis
- Evacuation and Crowd Dynamics
- Nuclear Engineering Thermal-Hydraulics
- Structural Health Monitoring Techniques
- Robotic Path Planning Algorithms
- Terahertz technology and applications
- Microwave Dielectric Ceramics Synthesis
Hengshui University
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
Aerospace Information Research Institute
2024
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
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...
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...
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...
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...
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...
To effectively improve the accuracy of short-term traffic flow prediction, an improved Long Short-Term Memory (LSTM) method is proposed using Mind Evolution Algorithm (MEA). Firstly, to address issues abnormal and missing data, a Neighborhood Stacked Denoising AutoEncoder (NSDAE) used for data repair. Then, maximum Lyapunov exponent determine chaotic characteristics. Meanwhile, based on Bayesian estimation theory, features three-parameter sequences are fused in high-dimensional space phase...
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...
Miniaturized (mini-) spectrometers are highly desirable tools for chemical, biological, and medical diagnostics because of their potential portable in situ spectral detection. In this work, we propose demonstrate a mini-spectrometer that combines large-scale radiative cavity array with end-to-end deep learning networks. Specifically, utilize high-Q bound states continuum cavities distinct radiation characteristics as the fundamental units to achieve parallel We realize 36 $\times$ 30 spans...
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...
In the recent decade, many research efforts in robotic society have considered motion planning for maintaining connectivity networked system (NRS) by exploiting autonomous mobility. On other hand, cognitive radio (CR) communication aims at fully spectrum a wireless network, while is seldom considered, as device itself may not decide where to go. this article, joint communication–motion (JCMP) proposed boost capability of NRS both adaptive communications and mobility control robots....