A5050142707- Green IT and Sustainability
- IoT Networks and Protocols
- Advanced Neural Network Applications
- Mobile Ad Hoc Networks
- Energy Harvesting in Wireless Networks
- Brain Tumor Detection and Classification
- Age of Information Optimization
- Full-Duplex Wireless Communications
- Speech and Audio Processing
- IoT-based Smart Home Systems
- Advanced Memory and Neural Computing
- Wireless Body Area Networks
- IoT and GPS-based Vehicle Safety Systems
- Advanced Wireless Communication Technologies
- Vehicular Ad Hoc Networks (VANETs)
- IoT and Edge/Fog Computing
- Advanced Adaptive Filtering Techniques
- Cooperative Communication and Network Coding
- Indoor and Outdoor Localization Technologies
- Distributed Control Multi-Agent Systems
- Energy Efficient Wireless Sensor Networks
- IoT-based Control Systems
Chinese University of Hong Kong
2020-2024
National Taitung University
2021
Jilin University
2012
Jilin Province Science and Technology Department
2012
Wi-Fi sensing systems leverage wireless signals from widely deployed devices to realize for a broad range of applications. However, current heavily rely on the channel state information (CSI) learn signal propagation characteristics, while availability CSI is highly dependent specific chipsets. Through city-scale measurement, we discover that extremely limited in operational devices. In this work, propose new system called BeamSense exploits compressed beamforming reports (CBR). Due...
Recently, smart roadside infrastructure (SRI) has demonstrated the potential of achieving fully autonomous driving systems. To explore infrastructure-assisted driving, this paper presents design and deployment Soar, first end-to-end SRI system specifically designed to support Soar consists both software hardware components carefully overcome various physical challenges. can leverage existing operational like street lampposts for a lower barrier adoption. adopts new communication architecture...
Recent years have seen a widespread deployment of NB-IoT networks for massive machine-to-machine communication in the emerging 5G era. Unfortunately, key aspects networks, such as radio access performance and power consumption not been well-understood due to lack effective tools closed nature operational cellular infrastructure. In this paper, we develop NB-Scope - first hardware diagnostic tool that supports fine-grained fusion protocol traces. We then conduct large-scale field measurement...
In recent years, Deep Neural Network (DNN) has been increasingly adopted by a wide range of time-critical applications running on edge platforms with heterogeneous multiprocessors. To meet the stringent timing requirements these applications, CPU and GPU resources must be efficiently utilized for inference multiple DNN models. Such cross-processor real-time paradigm poses major challenges due to inherent performance imbalance among different processors lack support from existing deep...
Recent years have witnessed the emergence of a new class cooperative edge systems in which large number nodes can collaborate through local peer-to-peer connectivity. In this paper, we propose CoEdge, novel system that support concurrent data/compute-intensive deep learning (DL) models for distributed real-time applications such as city-scale traffic monitoring and autonomous driving. First, CoEdge includes hierarchical DL task scheduling framework dispatches tasks to based on their...
Recent years have seen a widespread deployment of NB-IoT networks for massive machine-to-machine communication in the emerging 5G era. Unfortunately, key aspects networks, such as radio access performance and power consumption not been well-understood due to lack effective tools closed nature operational cellular infrastructure. In this paper, we develop NB-Scope - first hardware diagnostic tool that supports fine-grained fusion protocol traces. We then conduct large-scale field measurement...
Systematic codes are of important practical interest for communications. Network coding, however, seems to conflict with systematic codes: although the source node can transmit message packets, network coding at intermediate nodes may significantly reduce number packets received by destination node. Is it possible obtain benefit while preserving some properties codes? In this paper, we study design batched which is a general framework that includes random linear as special case. A code has...
Abstract School classroom doors are usually managed using conventional machine locks. This can cause inconvenience for the borrowing and returning of keys. In addition, issues on copying embezzlement keys persistent. To avoid these problems, schools have replaced locks with card readers magnetic to manage access; users need only a RFID enter exit classrooms. However, hardware software equipment required such control schemes is expensive entails cumbersome installation processes. study...