3 papers
eess.SP2021
SmartON: Just-in-Time Active Event Detection on Energy Harvesting Systems
Yubo Luo, Shahriar Nirjon
We propose SmartON, a batteryless system that learns to wake up proactively at the right moment in order to detect events of interest. It does so by adapting the duty cycle to matc…
cs.DC2019
Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems
Bashima Islam, Shahriar Nirjon
We propose Zygarde -- which is an energy -- and accuracy-aware soft real-time task scheduling framework for batteryless systems that flexibly execute deep learning tasks1 that are…
cs.LG2019
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
Seulki Lee, Bashima Islam, Yubo Luo +1
This paper introduces intermittent learning - the goal of which is to enable energy harvested computing platforms capable of executing certain classes of machine learning tasks eff…