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Displaying 1 - 25 of 232

Artificial Intelligence-Assisted Edge Computing for Wide Area Monitoring

July 7, 2023
Author(s)
Bin Hu, Hamid Gharavi
The massive digital information generated in conjunction with the ever-increasing phasor measurement data in the power grid has led to a tremendous constraint on the analysis and timely processing of real-time data. Under these conditions, leveraging

Intelligent-Fabric Computing: Challenges and Opportunities

November 8, 2022
Author(s)
Min Chen, Jia Liu, Pan Li, Hamid Gharavi, Yixue Hao, Jingyu Ouyang, Long Hu, Chong Hou, Iztok Humar, Lei Wei, Guang-Zhong Yang, Guangming Tao
With the advent of the Internet of Everything, people can easily interact with their environments immersively. The idea of pervasive computing is becoming a reality, but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained

A Hybrid Wired/Wireless Deterministic Network for Smart Grid

July 26, 2021
Author(s)
Bin Hu, Hamid Gharavi
With the rapid growth of time-critical applications in smart grid, robotics, autonomous vehicles, and industrial automation, demand for high reliability, low latency and strictly bounded jitter is sharply increasing. High-precision time synchronization

Real-Time Low-Frequency Oscillations Monitoring

July 26, 2021
Author(s)
Bin Hu, Hamid Gharavi
A major concern for interconnected power grid systems is low frequency oscillation, which limits the scalability and transmission capacity of power systems. Un-damped, or poorly-damped oscillations will lead to undesirable conditions or even a catastrophic

DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks

June 24, 2021
Author(s)
Hamid Gharavi
Future advances in deep learning and its impact on the development of artificial intelligence (AI) in all fields depends heavily on data size and computational power. Sacrificing massive computing resources in exchange for better precision rates of the

Deep reinforcement learning assisted energy harvesting wireless networks

May 24, 2021
Author(s)
Junliang Ye, Hamid Gharavi
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a promising approach to deal with the ever-growing traffic that can severely impact the power consumption of small-cell networks. Unfortunately, the amount of harvested energy

Intelligent Task Caching in Edge Cloud via Bandit Learning

March 19, 2021
Author(s)
Hamid Gharavi
Task caching, based on edge cloud, aims to meet the latency requirements of computation- intensive and data-intensive tasks (such as augmented reality). However, current task caching strategies are generally based on the unrealistic assumption of knowing