A5100416657- Caching and Content Delivery
- Mathematical and Theoretical Epidemiology and Ecology Models
- Neural Networks Stability and Synchronization
- Network Time Synchronization Technologies
- COVID-19 epidemiological studies
- Nonlinear Dynamics and Pattern Formation
- Advanced Data Storage Technologies
- Wireless Body Area Networks
- Complex Network Analysis Techniques
- Neural Networks and Applications
- Opinion Dynamics and Social Influence
- Advanced Control Systems Optimization
- Molecular Junctions and Nanostructures
- Mobile Agent-Based Network Management
- Advanced Numerical Analysis Techniques
- Advanced Malware Detection Techniques
- Chaos control and synchronization
- Metaheuristic Optimization Algorithms Research
- Smart Grid Security and Resilience
- Network Security and Intrusion Detection
- Virology and Viral Diseases
- Context-Aware Activity Recognition Systems
- Advanced Memory and Neural Computing
- Energy Efficient Wireless Sensor Networks
- Robotic Path Planning Algorithms
Shanghai University of Engineering Science
2020-2024
Hubei University
2024
Xinjiang University
2023
Nanjing University of Posts and Telecommunications
2018-2021
University of Virginia
2010-2013
Body sensor network (BSN) applications depend on accurate and precise data from body-worn devices, but issues related to variations, body mounting node-to-node synchronization can dramatically impact the quality reliability of collected and, ultimately, application fidelity. Characterizing addressing these sources error -- which are both static dynamic (e.g. sensors suffer manufacturing variability environmental impacts) within context requirements is therefore necessary for viability such...
Body sensor network (BSN) applications depend on accurate and precise data from body-worn devices, but issues related to variations, body mounting integration drift node-to-node synchronisation can dramatically impact the quality reliability of collected and, ultimately, application fidelity. Characterising addressing these sources error – which are both static dynamic (e.g. sensors suffer manufacturing variability environmental impacts) within context requirements is therefore necessary for...
Multicast is an efficient tool to transfer the same data from a publisher multiple subscribers, and its performance relies critically on resiliency. Compared with traditional networks, centralized control flexible programmability of Software Defined Network (SDN) more beneficial for solving failure recovery problem. This paper presents design OpenFlow controller which can recover reconstruct multicast tree rapidly, while reducing Ternary Content Addressable Memory (TCAM) consumption...
In this paper, we consider a coupled Brusselator model of chemical reactions, for which no symmetry the coupling matrices is assumed. We show that can undergoes Hopf bifurcation, and consequently periodic solutions arise when dispersal rates are large. Moreover, effect on bifurcation value considered special case.
Persistent key-value storage with high write perform-ance is mainly built on Log-Structured-Merge Tree (LSM-tree), but LSM-tree has inherent I/O amplification problems. Key-value separation reduces the problem of by storing only keys in LSM-tree. However, current design does not fully consider speed difference between sequential writing and random writing. And because garbage collection, subsequent operations will be affected cause pauses. The purpose HSKV to achieve update performance under...