Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs

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
Author/s:
  • Mariño Andrés, Rodrigo
  • Lanza-Gutiérrez, José Manuel
  • Riesgo Alcaide, Teresa
  • Holgado Bolaños, Miguel
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

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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

TypeCodeAcronymLeaderTitle
Government of SpainTEC2017-86722-C4-2-RPLATINOUnspecifiedPLATAFORMA HW/SW DISTRIBUIDA PARA EL PROCESAMIENTO INTELIGENTE DE INFORMACION SENSORIAL HETEROGENEA EN APLICACIONES DE SUPERVISION DE GRANDES ESPACIOS NATURALES
Government of SpainTEC2014-58036-C4-2-RREBECCAUnspecifiedSistemas electrónicos empotrados confiables para control de ciudades bajo situaciones atípicas
Universidad Politécnica de MadridRD99/2011UnspecifiedUnspecifiedUnspecified

More information

Item ID: 55156
DC Identifier: http://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: 05 Jun 2019 14:47
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