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   Articles with "computing devices" as a keyword



iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices

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recommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2022.3197485

Abstract: Developing toward battery-less, energy-harvesting designs is a promising direction for sensor-scale devices. The recent introduction of byte-addressable, nonvolatile memory (NVRAM) enables intermittent computing, which preserves as much program progress across power interruptions as possible using… read more here.

Keywords: intermittent; intermittent computing; computing devices; file system ... See more keywords

Real-Time D-PMU Data Compression for Edge Computing Devices in Digital Distribution Networks

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recommendations! Published in 2024 at "IEEE Transactions on Power Systems"

DOI: 10.1109/tpwrs.2023.3335282

Abstract: The proliferation of distribution-level phasor measurement units (D-PMUs) with a high reporting rate brings a heavy transmission burden to communication systems of distribution networks, which necessitate efficient data compression on edge computing devices. This paper… read more here.

Keywords: computing devices; distribution; data compression; edge computing ... See more keywords

The Skewed Privacy Concerns of Bystanders in Smart Environments

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recommendations! Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"

DOI: 10.1145/3546719

Abstract: As ubiquitous computing brings sensors and actuators directly into our homes, they introduce privacy concerns for the owners and bystanders. However, privacy concerns may vary among devices and depend on the bystanders' social relation to… read more here.

Keywords: home devices; privacy concerns; personal computing; privacy ... See more keywords

EMG-YOLO: road crack detection algorithm for edge computing devices

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recommendations! Published in 2024 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2024.1423738

Abstract: Introduction Road cracks significantly shorten the service life of roads. Manual detection methods are inefficient and costly. The YOLOv5 model has made some progress in road crack detection. However, issues arise when deployed on edge… read more here.

Keywords: detection; computing devices; edge computing; road ... See more keywords