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Working with AIoT Solutions in Embedded Software Applications. Recommendations, Guidelines, and Lessons Learned

Gratorp, Christina LU (2024) In Studies in Computational Intelligence 1147(1). p.309-329
Abstract
This chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on guidelines and recommendations for how to work with machine learning models in industrial embedded software applications.
Abstract (Swedish)
This chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on guidelines and recommendations for how to work with machine learning models in industrial embedded software applications.
Please use this url to cite or link to this publication:
author
organization
alternative title
Att arbeta med AI i inbyggda system. Rekommendationer och riktlinjer.
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
categories
Popular Science
host publication
Intelligent Secure Trustable Things
series title
Studies in Computational Intelligence
volume
1147
issue
1
pages
21 pages
publisher
Springer
external identifiers
  • scopus:85200453302
ISSN
1860-9503
1860-949X
ISBN
978-3-031-54049-3
978-3-031-54048-6
language
English
LU publication?
yes
id
44aaff7a-95a4-4ac6-bb34-42bd25afb36b
alternative location
https://link.springer.com/chapter/10.1007/978-3-031-54049-3_17
date added to LUP
2024-07-30 12:05:51
date last changed
2025-08-05 10:35:16
@inbook{44aaff7a-95a4-4ac6-bb34-42bd25afb36b,
  abstract     = {{This chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on guidelines and recommendations for how to work with machine learning models in industrial embedded software applications.}},
  author       = {{Gratorp, Christina}},
  booktitle    = {{Intelligent Secure Trustable Things}},
  isbn         = {{978-3-031-54049-3}},
  issn         = {{1860-9503}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{1}},
  pages        = {{309--329}},
  publisher    = {{Springer}},
  series       = {{Studies in Computational Intelligence}},
  title        = {{Working with AIoT Solutions in Embedded Software Applications. Recommendations, Guidelines, and Lessons Learned}},
  url          = {{https://link.springer.com/chapter/10.1007/978-3-031-54049-3_17}},
  volume       = {{1147}},
  year         = {{2024}},
}