Implementation of a DPU-Based Intelligent Thermal Imaging Hardware Accelerator on FPGA Article Swipe
A. Hussein
,
Ahmed M. Anwar
,
Yasmine Fahmy
,
Hassan Mostafa
,
K. Saláma
,
Mai Kafafy
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11010105
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11010105
Thermal imaging has many applications that all leverage from the heat map that can be constructed using this type of imaging. It can be used in Internet of Things (IoT) applications to detect the features of surroundings. In such a case, Deep Neural Networks (DNNs) can be used to carry out many visual analysis tasks which can provide the system with the capacity to make decisions. However, due to their huge computational cost, such networks are recommended to exploit custom hardware platforms to accelerate their inference as well as reduce the overall energy consumption of the system. In this work, an energy adaptive system is proposed, which can intelligently configure itself based on the battery energy level. Besides achieving a maximum speed increase that equals 6.38×, the proposed system achieves significant energy that is reduced by 97.81% compared to a conventional general-purpose CPU.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11010105
- https://www.mdpi.com/2079-9292/11/1/105/pdf?version=1641264353
- OA Status
- gold
- Cited By
- 9
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200355694
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200355694Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics11010105Digital Object Identifier
- Title
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Implementation of a DPU-Based Intelligent Thermal Imaging Hardware Accelerator on FPGAWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-29Full publication date if available
- Authors
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A. Hussein, Ahmed M. Anwar, Yasmine Fahmy, Hassan Mostafa, K. Saláma, Mai KafafyList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics11010105Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/11/1/105/pdf?version=1641264353Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/11/1/105/pdf?version=1641264353Direct OA link when available
- Concepts
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Computer science, Field-programmable gate array, Hardware acceleration, Exploit, Leverage (statistics), Energy consumption, Embedded system, Emulation, Computer hardware, Efficient energy use, Artificial intelligence, Engineering, Electrical engineering, Economic growth, Economics, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 4, 2022: 3Per-year citation counts (last 5 years)
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21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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