F
Fan Li
Researcher at Beijing Institute of Technology
Publications - 176
Citations - 4590
Fan Li is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Computer science & Static routing. The author has an hindex of 26, co-authored 143 publications receiving 3305 citations. Previous affiliations of Fan Li include University of North Carolina at Charlotte & Xidian University.
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Journal ArticleDOI
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System
TL;DR: This work presents a solution to migrate existing e-health systems to a unified Blockchain-based model, where access to large scale medical data of patients can be achieved seamlessly by any service provider.
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Mo-sleep: Unobtrusive sleep and movement monitoring via Wi-Fi signal
TL;DR: This paper develops a system called Mo-Sleep, which adopts off-the-shelf Wi-Fi devices to continuously collect fine-grained wireless Channel State Information (CSI) in a room, and introduces a motion detection module in this system to identify whether the CSI information has been interfered by a moving target.
Proceedings ArticleDOI
NNCP: A Named Data Network Control Protocol for IoT Applications
TL;DR: A control protocol for named data networks, namely NNCP, that can relay different network error, information, notification, and service messages and may improve the network performance especially in the Internet of Things environment, and can easily be extended to support different information centric platforms.
Journal ArticleDOI
Real-Time Detection for Drowsy Driving via Acoustic Sensing on Smartphones
TL;DR: A high-accuracy detector based on LSTM networks for the early detection of drowsy driving is proposed based on the acoustic sensing abilities of smartphones, and measures to distinguish drowsiness levels are introduced in the system by analyzing the data of operating steering wheel.
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Modeling data dissemination in online social networks: a geographical perspective on bounding network traffic load
TL;DR: This work proposes a three-layered system model to formulate data dissemination sessions for social applications in OSNs and derives the traffic load of OSNs under a realistic assumption that every source sustained a data generating rate of constant order.