A5100454217- IoT and Edge/Fog Computing
- Age of Information Optimization
- Advanced Neural Network Applications
- Privacy-Preserving Technologies in Data
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- Mobile Ad Hoc Networks
- HVDC Systems and Fault Protection
- Testicular diseases and treatments
- Advanced Machining and Optimization Techniques
- Sperm and Testicular Function
- Visual Attention and Saliency Detection
- Mobile Agent-Based Network Management
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Advanced Welding Techniques Analysis
- Welding Techniques and Residual Stresses
- Brain Tumor Detection and Classification
- Automotive and Human Injury Biomechanics
- Wireless Sensor Networks and IoT
- Advanced Surface Polishing Techniques
- Microbial Metabolic Engineering and Bioproduction
- Mobile Crowdsensing and Crowdsourcing
South China University of Technology
2006-2024
Harbin Institute of Technology
2021-2024
Heilongjiang Institute of Technology
2023
PLA Army Engineering University
2023
Shenzhen Institute of Information Technology
2023
University of South China
2022
Guangzhou Medical University
2021
Guangzhou First People's Hospital
2021
Jiujiang University
2021
Wuhan Institute of Technology
2017
Abstract As testicular mesenchymal stromal cells, stem Leydig cells (SLCs) show great promise in the treatment of male hypogonadism. The therapeutic functions are largely determined by their reciprocal regulation immune responses. However, immunoregulatory properties SLCs remain unclear. Here, we observe that transplantation restore fertility and testosterone production an ischemia‒reperfusion injury mouse model. prevent inflammatory cascades through mitochondrial transfer to macrophages....
Spectrally stable blue-light-emitting polyfluorenes with high efficiency were realized via incorporating dibenzothiophene-S,S-dioxide (SO) isomer (3,7-diyl or 2,8-diyl) into the poly[9,9-bis(4-(2-ethylhexyloxy)phenyl)fluorene-2,7-diyl] (PPF) backbone. The resulting polymers have fluorescence yield and exhibit very good thermal stability. EL spectra of all copolymers remain almost unchanged, no green emission is observed even at applied current density (more than 360 mA/cm2) annealing...
Controlling the orientation of laccase on electrodes is crucial for achievement fast direct electron transfer. It important to find a short pathway between T1 copper site and substrate during immobilization. In this work, we studied adsorption conformation Trametes versicolor (TvL) two kinds charged self-assembled monolayers (SAMs), including NH2-SAM COOH-SAM, by parallel tempering Monte Carlo all-atom molecular dynamics simulations. TvL adsorbs positively negatively surface with "end-on"...
Deep neural network (DNN) models are increasingly popular in edge video analytic applications. However, the computeintensive nature of DNN pose challenges for energyefficient inference on resource-constrained devices. Most existing solutions focus optimizing latency and accuracy, often overlooking energy efficiency. They also fail to account varying complexity frames, leading sub-optimal performance analytics. In this paper, we propose an EnergyEfficient Early-Exit (E4) framework that...
In this paper, we study a tracking service vehicular edge computing (VEC) network that provides computation offloading for Intelligent vehicles, where computational tasks with different urgency and dependency are required to be completed efficiently within strict time constraints. We consider the actual scenario environmental parameters fluctuate randomly their distributions unknown, thus, long-term scheduling policy optimization problem needs solved. For motivation, first define queueing...
Abstract Therapies involving the use of stem Leydig cells (SLCs), as testicular mesenchymal stromal cells, have shown great promise in treatment cell (LC) dysfunction aging males. However, outcomes these therapies are not satisfactory. In this study, it is demonstrated that microenvironment interstitium impairs function SLCs, leading to poor regeneration LCs and, consequently, inefficient functional restoration. The study develops a decellularized extracellular matrix (dTECM) hydrogel from...
Federated learning (FL) training global machine models over distributed edge devices has attracted sustained attentions. However, the heterogeneity of client data severely degrades performance FL compared with that in centralized training. On one hand, it slows down or even stalls updates, leading to inefficient communication. other enlarges distances between local models, resulting an aggregated model poor performance. Fortunately, these shortcomings can be mitigated by reducing angle...
To solve the problem of uneven distribution power flow and limited transfer capability for transmission section in a large-scale AC/DC system, multi-objective mixed-integer convex programming method siting sizing unified controllers (UPFCs) an system is proposed. Considering four objectives annual equivalent investment operation cost, bus voltage deviation, section, renewable energy accommodation, optimization model established. By using relaxation method, original nonlinear transformed into...
In this paper, we investigate the problem of optimizing joint offloading policy in a distributed manner for multiple intelligent vehicles (IVs). During journey vehicular edge computing (VEC) networks, IVs continually optimize their to minimize longterm accumulated costs generated by executing computational tasks. The stochastic and repetitive interactions among is modeled as Markov game process. way, optimization transformed approximate perfect equilibrium general-sum game. Moreover, argue...
Resource allocation has always been a key technology in wireless sensor networks (WSN), but most of the traditional resource algorithms are based on single interface networks. The emergence and development multi‐interface multichannel solve many bottleneck problems channel networks, it also brings new opportunities to not only improves performance great challenges Edge computing changes centralized cloud processing method into that reduces storage capacity edge network faces users terminals....
AbstractAbstractAluminium foam has been adopted as one of the light filler materials in auto body structural components because its excellent energy-absorbing ability and lightweight which play a key role reducing weight improving safety. This paper combines porosity aluminium material application car's crashworthy structures to present energy-absorption behavior effect evaluation. First, focuses on energy absorption by experimental study. All experiments were performed with specimens...
Being aware of objects in the ambient provides a new dimension context awareness. Towards this goal, we present system that exploits powerful computer vision algorithms cloud by collecting data through always-on cameras on portable devices. To reduce communication-energy costs, our allows client devices to continually analyze streams video and distill out frames contain interest. Through dedicated image-classification engine SAPPHIRE, show if an object is found 5% all frames, end up...
Being aware of objects in the ambient provides a new dimension context awareness. Towards this goal, we present system that exploits powerful computer vision algorithms cloud by collecting data through always-on cameras on portable devices. To reduce comunication-energy costs, our allows client devices to continually analyze streams video and distill out frames contain interest. Through dedicated image-classification engine SAPPHIRE, show if an object is found 5% all frames, end up selecting...
The appearance of Mobile Edge Computing (MEC) successfully solves the bottlenecks traditional Cloud based networks. Since mobile edges, e.g., base stations, and devices have certain data processing capabilities, it is not necessary to offload all tasks cloud for handling. Therefore, quite important decide optimal task assignment in MEC systems, a series algorithms been proposed. However, existing ignored distribution during assignment, so that their applied ranges are limit. Considering...
Due to limited resources on edge and different characteristics of deep neural network (DNN) models, it is a big challenge optimize DNN inference performance in terms energy consumption end-to-end latency devices. In addition the dynamic voltage frequency scaling (DVFS) technique, edge-cloud architecture provides collaborative approach for efficient inference. However, current methods have not optimized various compute Thus, we propose DVFO, novel DVFS-enabled framework, which co-optimizes...
PISA (Protocol Independent Switch Architecture) is one of the mainstream programmable chip architectures, allowing users to define functions and behaviors data plane with language. The optimizes robot design by providing flexible processing capabilities, reducing difficulty maintenance, enhancing interoperability other devices or systems. However, application faces two challenges. (1) Due complex dependencies constraints in chip, current resource allocation algorithms waste a lot pipeline...