A5103192427- EEG and Brain-Computer Interfaces
- Wireless Communication Security Techniques
- Advanced Computational Techniques and Applications
- Data Management and Algorithms
- Multisensory perception and integration
- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
- Advanced Sensor and Control Systems
- Topic Modeling
- Color perception and design
- Wireless Signal Modulation Classification
- Grey System Theory Applications
- Power Transformer Diagnostics and Insulation
- Advanced Database Systems and Queries
- Neuroscience and Neural Engineering
- Gaze Tracking and Assistive Technology
- Advanced Algorithms and Applications
- Neural dynamics and brain function
- Information Retrieval and Search Behavior
- Distributed Control Multi-Agent Systems
- High voltage insulation and dielectric phenomena
- Semantic Web and Ontologies
- Blind Source Separation Techniques
- Web Data Mining and Analysis
- Advanced MIMO Systems Optimization
China National Environmental Monitoring Center
2016-2025
National Marine Environmental Monitoring Center
2016-2025
Northwestern Polytechnical University
2025
Ministry of Ecology and Environment
2025
Soochow University
2025
First Affiliated Hospital of Soochow University
2025
Southeast University
2019-2024
Institute of Acoustics
2024
Tianjin Medical University General Hospital
2024
Tianjin University
2019-2024
The research on the sixth-generation (6G) wireless communications for development of future mobile communication networks has been officially launched around world. 6G face multifarious challenges, such as resource-constrained devices, difficult resource management, high complexity heterogeneous network architectures, explosive computing and storage requirements, privacy security threats. To address these deploying blockchain artificial intelligence (AI) in may realize new breakthroughs...
Wireless communication involving unmanned aerial vehicles (UAVs) is expected to play an important role in future wireless networks. However, different from conventional terrestrial systems, UAVs typically have rather limited onboard energy on one hand, and require additional flying consumption the other hand. This renders energy-efficient UAV with smart expenditure of paramount importance. In this paper, via extensive flight experiments, we aim firstly validate recently derived theoretical...
Implantable hydrogel-based bioelectronics (IHB) can precisely monitor human health and diagnose diseases. However, achieving biodegradability, biocompatibility, high conformality with soft tissues poses significant challenges for IHB. Gelatin is the most suitable candidate IHB since it a collagen hydrolysate substantial part of extracellular matrix found naturally in tissues. This study used 3D printing ultrafine fiber networks metamaterial design to embed into ultra-low elastic modulus...
The downlink communications are vulnerable to intelligent unmanned aerial vehicle (UAV) jamming attack. In this paper, we propose a novel anti-intelligent UAV strategy, in which the ground users can learn optimal trajectory elude such jamming. problem is formulated as stackelberg dynamic game, where jammer acts leader and act followers. First, only aware of incomplete channel state information (CSI) users, for first attempt, model sub-game partially observable Markov decision process...
Recently, unmanned aerial vehicle (UAV) swarm communication has drawn much attention in search and rescue (SAR) missions owing to its wide wireless coverage increasing autonomy navigation. In this article, we consider maximizing the downlink of a UAV an unknown mission area by controlling quasistationary deployments UAVs. Particularly, stochastic link failures caused channel fading noise UAV-to-UAV links are considered control. Specifically, due delay sensitivity onboard energy limitation...
Radio Frequency Fingerprinting Identification (RFFI) is a lightweight physical layer identity authentication technique. It identifies the radio-frequency device by analyzing signal feature differences caused inevitable minor hardware impairments. However, existing RFFI methods based on closed-set recognition struggle to detect unknown unauthorized devices in open environments. Moreover, interference among legitimate can further compromise identification accuracy. In this paper, we propose...
Estuarine wetlands are the transition zone between marine, freshwater, and terrestrial ecosystems more ecologically fragile. In recent years, spread of exotic vegetation, specifically Spartina alterniflora, in Yellow River estuary has significantly encroached upon habitats native species such as Phragmites australis, Suaeda glauca Bunge, Tamarix chinensis Lour. With advances land prediction modeling, predicting wetland vegetation distribution can aid management decision-making for ecological...
Salt marsh ecosystems play a critical role in coastal protection, carbon sequestration, and biodiversity preservation. However, they are increasingly threatened by climate change anthropogenic activities, necessitating precise vegetation mapping for effective conservation. This study investigated the effectiveness of spectral features machine learning models separating typical salt types Yellow River Delta using uncrewed aerial vehicle (UAV)-derived multispectral imagery. The results...
We optimize the deployment of an aerial reconfigurable intelligent surface (ARIS) to assist high altitude platform (HAP) downlink transmission when direct link is blocked. Specifically, we maximize received signal-to-noise ratio (SNR) ground users by jointly optimizing trajectory and phase-shift ARIS with consideration unknown movement HAP, which caused changes in stratospheric wind air density. Due non-convex nature formulated optimization problem, decouple problem propose alternative...
We consider the uplink transmission between a multi-antenna ground station and an unmanned aerial vehicle (UAV) swarm. The UAVs are assumed as intelligent agents, which can explore their optimal three dimensional (3-D) deployment to maximize channel capacity of multiple input output (MIMO) system. Specifically, considering limitations each UAV in accessing global information network, we focus on decentralized control strategy by noting that swarm only utilize local achieve 3-D deployment. In...
A bio-based Cyrene solvent is used as a dual-functional electrolyte additive to synergistically modulate the solvation configuration of Zn 2+ and interfacial microenvironment.
Spectrum sensing with single primary user (PU) has attracted the attention of researchers due to its influence on scarce radio spectrum. Yet, co-existence multiple PUs within region is considered rarely. In this letter, spectrum users over fading channel investigated based subspace filtering in same frequency band. The corresponding closed-form solution false alarm and detection probabilities given together simulation verifications.
Objective: Previous studies have shown that the performance of famous face P300-speller was better than classical row/column flashing P300-speller. Furthermore, in some studies, brain more active when responding to one's own a face, and self-face stimulus elicited larger amplitude event-related potentials (ERPs) did face. Thus, we study paradigm on further improving system take as control paradigm. Methods: We designed two facial paradigms based (Ming Yao, sports star; spelling paradigm)...
In the field of brain computer interface (BCI), effective classification motor imagery (MI) tasks is an important issue. Deep learning (DL) has attracted lots attention and been widely used in a great deal areas such as speech recognition, object detection, natural language processing (NLP). However, use deep approaches BCI fields remaining relatively lacking. this paper, we introduce method, combined one-dimensional convolutional neural network (1D CNN) with long short-term memory (LSTM) to...
Objective: P300-speller is the most commonly used brain-computer interface (BCI) for providing a means of communication to patients with amyotrophic lateral sclerosis. However, performance BCI still inadequate. We investigated whether can be further improved by increasing mental effort required user. Methods: designed two active tasks based on differently colored smiling cartoon-face paradigm. The were color distinction, and their difficulty was modulated. One (DC task) participants focus...