A survey of techniques for intermittent computing
Intermittent computing (ImC) refers to the scenario where periods of program execution are
separated by reboots. ImC systems are generally powered by energy-harvesting (EH) …
separated by reboots. ImC systems are generally powered by energy-harvesting (EH) …
Hibernus++: a self-calibrating and adaptive system for transiently-powered embedded devices
Energy harvesters are being used to power autonomous systems, but their output power is
variable and intermittent. To sustain computation, these systems integrate batteries or …
variable and intermittent. To sustain computation, these systems integrate batteries or …
Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus
We present the design and evaluation of a 3.5-year embedded sensing deployment at the
Mithræum of Circus Maximus, a UNESCO-protected underground archaeological site in …
Mithræum of Circus Maximus, a UNESCO-protected underground archaeological site in …
Energy neutral machine learning based iot device for pest detection in precision agriculture
Apples are among the topmost fruit crops of the world, and apple orchards are widely
expanding in many regions and countries. The most common problem for these crops is the …
expanding in many regions and countries. The most common problem for these crops is the …
MOUSE: Inference in non-volatile memory for energy harvesting applications
There is increasing demand to bring machine learning capabilities to low power devices. By
integrating the computational power of machine learning with the deployment capabilities of …
integrating the computational power of machine learning with the deployment capabilities of …
Adamica: Adaptive multicore intermittent computing
Recent studies on intermittent computing target single-core processors and underestimate
the efficient parallel execution of highly-parallelizable machine learning tasks. Even though …
the efficient parallel execution of highly-parallelizable machine learning tasks. Even though …
Energy-driven computing
For decades, the design of untethered devices has been focused on delivering a fixed
quality of service with minimum power consumption, to enable battery-powered devices with …
quality of service with minimum power consumption, to enable battery-powered devices with …
A Survey of Emerging Memory in a Microcontroller Unit
L Qi, J Fan, H Cai, Z Fang - Micromachines, 2024 - mdpi.com
In the era of widespread edge computing, energy conservation modes like complete power
shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory …
shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory …
Neural networks for pest detection in precision agriculture
A Segalla, G Fiacco, L Tramarin… - … on Metrology for …, 2020 - ieeexplore.ieee.org
Apple is one of the most produced fruit crops in the world. Recent advances in Artificial
Intelligence and the Internet of Things can reduce production costs and improve crop quality …
Intelligence and the Internet of Things can reduce production costs and improve crop quality …
Energy-driven computing: Rethinking the design of energy harvesting systems
Energy harvesting computing has been gaining increasing traction over the past decade,
fueled by technological developments and rising demand for autonomous and battery-free …
fueled by technological developments and rising demand for autonomous and battery-free …