A5073147310- Sparse and Compressive Sensing Techniques
- Cancer-related molecular mechanisms research
- Cognitive Radio Networks and Spectrum Sensing
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Image and Signal Denoising Methods
- UAV Applications and Optimization
- Neural Networks Stability and Synchronization
- Chaos control and synchronization
- Blind Source Separation Techniques
- Energy Harvesting in Wireless Networks
- Distributed Sensor Networks and Detection Algorithms
- Radar Systems and Signal Processing
- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Photoacoustic and Ultrasonic Imaging
- Nonlinear Dynamics and Pattern Formation
- Stability and Controllability of Differential Equations
- Wireless Communication Networks Research
- Advanced Neural Network Applications
- RFID technology advancements
South China University of Technology
2016-2025
Shanghai Jiao Tong University
2022-2024
Zhejiang Chinese Medical University
2022-2023
Zhejiang University
2023
Chongqing University
2023
Obstetrics and Gynecology Hospital of Fudan University
2018
South Central Minzu University
2015
China University of Technology
2015
Jilin University
2015
Tianjin University
2012
The Industrial Internet of Things (IIoT) has been viewed as a typical application for the fifth generation (5G) mobile networks. This article investigates energy efficiency (EE) optimization problem Device-to-Device (D2D) communications underlaying unmanned aerial vehicles (UAVs)-assisted IIoT networks with simultaneous wireless information and power transfer (SWIPT). We aim to maximize EE system while satisfying constraints transmission rate budget. However, designed is nonconvex involving...
This paper considers a rotary-wing unmanned aerial vehicle (UAV)-enabled wireless power transfer system, where UAV is dispatched as an energy transmitter (ET), transferring radio frequency (RF) signals to set of receivers (ERs) periodically. We aim maximize the harvested at all ERs by jointly optimizing UAV's three-dimensional (3D) placement, beam pattern and charging time. However, considered optimization problem taking into account drone flight altitude coverage performance formulated...
This paper considers an unmanned aerial vehicle (UAV)-aided millimeter Wave (mmWave) multiple-input-multiple-output (MIMO) non-orthogonal multiple access (NOMA) system, where a UAV serves as flying base station (BS) to provide wireless services set of Internet Things (IoT) devices in different clusters. We aim maximize the downlink sum rate by jointly optimizing three-dimensional (3D) placement UAV, beam pattern and transmit power. To address this problem, we first transform non-convex...
High spectrum efficiency (SE) requirement and massive connections are the main challenges for fifth generation (5G) beyond 5G (B5G) wireless networks, especially case when Internet of Things (IoT) devices located in a disaster area. Non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-aided network is emerging as promising technique to overcome above challenges. In this paper, an emergency communications framework NOMA-based UAV-aided networks established, where...
Protein therapeutics are anticipated to offer significant treatment options for central nervous system (CNS) diseases. However, the majority of proteins unable traverse blood-brain barrier (BBB) and reach their CNS target sites. Inspired by natural environment active proteins, cell matrix components hyaluronic acid (HA) protamine (PRTM) used self-assemble with form a protein-loaded biomimetic core then incorporated into ApoE3-reconstituted high-density lipoprotein (rHDL) nanocarrier...
ABSTRACT To date, generating viable and functional hepatocytes in large scale remains challenge. By employing 3D suspension condition with the support of low concentration Matrigel, a novel culture system was developed to generate expandable hepatoblast organoids (HB‐orgs) mature polarised hepatocyte (P‐hep‐orgs) from human embryonic stem cells (hESCs) both dishes bioreactors. scRNA‐seq assays were used characterise HB‐orgs P‐hep‐orgs. hESC‐derived could proliferate at least for 15 passages,...
Reconfigurable intelligent surface (RIS) is a promising technique that smartly reshapes wireless propagation environment in the future networks. In this paper, we apply RIS to an unmanned aerial vehicle (UAV)-assisted non-orthogonal multiple access (NOMA) network, which transmit signals from UAVs ground users are strengthened through RIS. Our objective minimize power consumption of system while meeting constraints minimum data rate for and inter-UAV distance. The formulated optimization...
This study reconsiders the problem of reachable set bounding for a class linear systems in presence both discrete and distributed delays. Some new criteria are established where useful term is retained when we estimate upper bound derivative Lyapunov–Krasovskii functional. The free-weighting matrix technique utilised to realise such purpose. Moreover, special structure constraint on final expression Lyapunov functional previous result authors removed. Consequently, tighter obtained....
In this paper, a received signal strength indicator (RSSI) based indoor localization system is implemented employing Wi-Fi infrastructure. the light of feature-scaling-based k-nearest neighbor (FS-kNN) algorithm, new continuous-feature-scaling model proposed, which uses continuous weights instead discrete used in FS-kNN, and needs not divide entire RSSI space into intervals. This gridless scheme avoids difficulty weight selection at common boundary adjacent intervals that could meet...
Multi-scale architectures and attention modules have shown effectiveness in many deep learning-based image de-raining methods. However, manually designing integrating these two components into a neural network requires bulk of labor extensive expertise. In this article, high-performance multi-scale attentive architecture search (MANAS) framework is technically developed for de-raining. The proposed method formulates new space with multiple flexible that are favorite to the task. Under space,...
Single image de-raining is an important and highly challenging problem. To address this problem, some depth or density guided single-image methods have been developed with encouraging performance. However, these individually use the to guide network conduct de-raining. In paper, a novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">joint de-raining</i> (JDDGD) method technically developed. The JDDGD starts...
This letter focuses on an energy-efficient hybrid spectrum access scheme in a vehicle-to-infrastructure uplink communication scenario cognitive vehicular ad hoc networks (cognitive VANETs). Considering path loss exponent of the channel between vehicle and point, constrained optimization problem is formulated to minimize overall energy consumption. Meanwhile, quality service communications maintained. The detects optimal bands for transmission, selects different schemes adaptively based...
In this paper, we first give a constructive proof for the existence of globally exponential attractive set Chua's system with smooth nonlinear function. Then, derive series simple algebraic sufficient conditions under which two same type systems are exponentially synchronized using linear feedback controls. Also, as special cases chaos synchronization, consider global tracking and periodic motions, well stabilization equilibrium points in systems. We construct simple, easily applicable...
Spectrum access strategy plays a critical role in multichannel cognitive radio networks (CRNs). However, the CRNs cannot obtain maximal throughput, when existing strategies, including overlay, underlay, and hybrid are applied to CRNs. In this paper, we present generalized CRN smart home environment, which secondary user (SU) system selects part of channels for sequential spectrum sensing, accesses these based on sensing results. Moreover, it remaining directly. We then formulate two-phase...
Quadrature spatial modulation (QSM) is one of the most prevalent transmission techniques for future wireless mobile network due to its high spectral efficiency (SE) and low complexity. However, it restrictive downlink cellular deployments. Therefore, this paper proposes QSM multiuser uplink data that increases SE by deploying multiple antennas at user with only two radio frequency (RF) chains. Maximum likelihood (ML) decoder used detect received signal attains optimal detection performance...