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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 ...
- research-articleAugust 2017
Electric Vehicle Optimized Charge and Drive Management
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 23, Issue 1Article No.: 3, Pages 1–25https://doi.org/10.1145/3084686Electric vehicles (EVs) have been considered as a solution to the environmental issues caused by transportation, such as air pollution and greenhouse gas emission. However, limited energy capacity, scarce EV supercharging stations, and long recharging ...
- research-articleJune 2016
Cyber-Physical Co-Simulation Framework for Smart Cells in Scalable Battery Packs
- Sebastian Steinhorst,
- Matthias Kauer,
- Arne Meeuw,
- Swaminathan Narayanaswamy,
- Martin Lukasiewycz,
- Samarjit Chakraborty
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 21, Issue 4Article No.: 62, Pages 1–26https://doi.org/10.1145/2891407This article introduces a Cyber-physical Co-Simulation Framework (CPCSF) for design and analysis of smart cells that enable scalable battery pack and Battery Management System (BMS) architectures. In contrast to conventional cells in battery packs, ...
- research-articleMay 2016
On Battery Recovery Effect in Wireless Sensor Nodes
- Swaminathan Narayanaswamy,
- Steffen Schlueter,
- Sebastian Steinhorst,
- Martin Lukasiewycz,
- Samarjit Chakraborty,
- Harry Ernst Hoster
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 21, Issue 4Article No.: 60, Pages 1–28https://doi.org/10.1145/2890501With the perennial demand for longer runtime of battery-powered Wireless Sensor Nodes (WSNs), several techniques have been proposed to increase the battery runtime. One such class of techniques exploiting the battery recovery effect phenomenon claims ...