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Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3152079
Abstract: Emerging applications like machine learning in embedded devices (e.g., satellites and vehicles) require huge storage space, which recently stimulates the widespread deployment of large-scale flash memory in IoT devices. However, existing embedded file systems fall…
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Keywords:
embedded devices;
file;
resource scarce;
file system ... See more keywords
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Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3119970
Abstract: An increasing number of embedded devices are connecting to the Internet, ranging from cameras, routers to printers, while an adversary can exploit security flaws already known to compromise those devices. Security patches are usually associated…
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Keywords:
embedded devices;
security;
firmware;
fine grained ... See more keywords
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Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2929431
Abstract: In this article, with the rapid development of industrial Internet of Things, a large number of embedded devices, such as sensors and tag readers, have been widely deployed for gathering and sending data. These devices…
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Keywords:
white box;
scheme;
box;
embedded devices ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10114015
Abstract: At present, embedded devices have become a part of people’s lives, so detecting security vulnerabilities contained in devices becomes imperative. There are three challenges in detecting embedded device vulnerabilities: (1) Most network protocols are stateful;…
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Keywords:
front end;
embedded devices;
web front;
communication ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11031096
Abstract: The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet or ShuffleNet…
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Keywords:
time;
ssd7 ffam;
object detection;
embedded devices ... See more keywords
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Published in 2023 at "Micromachines"
DOI: 10.3390/mi14050897
Abstract: Advancements in artificial intelligence algorithms and models, along with embedded device support, have resulted in the issue of high energy consumption and poor compatibility when deploying artificial intelligence models and networks on embedded devices becoming…
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Keywords:
embedded devices;
intelligence;
intelligence embedded;
review artificial ... See more keywords
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Published in 2023 at "Sustainability"
DOI: 10.3390/su15107940
Abstract: Modern education has undergone tremendous progress, and a large number of advanced devices and technologies have been introduced into the teaching process. We explore the application of artificial intelligence to education, using AI devices for…
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Keywords:
embedded devices;
education;
analysis;
real time ... See more keywords