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- research-articleSeptember 2023
Uncertainty-aware Energy Harvest Prediction and Management for IoT Devices
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 28, Issue 5Article No.: 87, Pages 1–33https://doi.org/10.1145/3606372Internet of things (IoT) devices are popular in several high-impact applications such as mobile healthcare and digital agriculture. However, IoT devices have limited operating lifetime due to their small form factor. Harvesting energy from ambient sources ...
- research-articleOctober 2018
Distributed Machine Learning on Smart-Gateway Network toward Real-Time Smart-Grid Energy Management with Behavior Cognition
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 23, Issue 5Article No.: 56, Pages 1–26https://doi.org/10.1145/3209888Real-time data analytics for smart-grid energy management is challenging with consideration of both occupant behavior profiles and energy profiles. This article proposes a distributed and networked machine-learning platform on smart-gateway-based smart-...
- research-articleMarch 2018
Avoiding Data Inconsistency in Energy Harvesting Powered Embedded Systems
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 23, Issue 3Article No.: 38, Pages 1–25https://doi.org/10.1145/3182170Energy harvesting is becoming a favorable alternative to power future generation embedded systems, as it is more environmentally and user friendly. However, energy harvesting powered embedded systems suffer from frequent execution interruption due to ...