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Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs
Citation
Mariño Andrés, Rodrigo and Lanza-Gutiérrez, José Manuel and Riesgo Alcaide, Teresa and Holgado Bolaños, Miguel (2018). Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs. In: "2018 IEEE International Symposium on Circuits and Systems (ISCAS)", 27–30 May 2018, Florence, Italy. ISBN 978-1-5386-4881-0. pp. 1-5. https://doi.org/10.1109/ISCAS.2018.8351540.
Description
| Title: | Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 2018 IEEE International Symposium on Circuits and Systems (ISCAS) |
| Event Dates: | 27–30 May 2018 |
| Event Location: | Florence, Italy |
| Title of Book: | 2018 IEEE International Symposium on Circuits and Systems (ISCAS) Proceedings |
| Date: | 2018 |
| ISBN: | 978-1-5386-4881-0 |
| Subjects: | |
| Freetext Keywords: | Principal Component Analysis; Dimensionality Reduction; Expert Sensors; Biosensor; Machine Learning; FPSoC |
| Faculty: | E.T.S.I. Industriales (UPM) |
| Department: | Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Nowadays, the growth of Industry 4.0 and Internet of Things (IoT) demands new solutions for designing low-power low-cost advanced computational algorithms. This work develops the sensor signal processing layer of a chemical biosensing IoT edge device using NanoPillar transducers. We propose to move from smart sensors to expert sensors, applying Principal Component Analysis (PCA) for dimensionality reduction in FPGAs. As a result, this paper provides a design space exploration of PCA implementation over FPGAs, studying parameters as throughput and resource usage.
Funding Projects
| Type | Code | Acronym | Leader | Title |
|---|---|---|---|---|
| Government of Spain | TEC2017-86722-C4-2-R | PLATINO | Unspecified | PLATAFORMA HW/SW DISTRIBUIDA PARA EL PROCESAMIENTO INTELIGENTE DE INFORMACION SENSORIAL HETEROGENEA EN APLICACIONES DE SUPERVISION DE GRANDES ESPACIOS NATURALES |
| Government of Spain | TEC2014-58036-C4-2-R | REBECCA | Unspecified | Sistemas electrónicos empotrados confiables para control de ciudades bajo situaciones atípicas |
| Universidad Politécnica de Madrid | RD99/2011 | Unspecified | Unspecified | Unspecified |
More information
| Item ID: | 55156 |
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| DC Identifier: | https://oa.upm.es/55156/ |
| OAI Identifier: | oai:oa.upm.es:55156 |
| DOI: | 10.1109/ISCAS.2018.8351540 |
| Official URL: | https://ieeexplore.ieee.org/document/8351540 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 04 Jun 2019 16:41 |
| Last Modified: | 30 Nov 2022 09:00 |
