Open AccessIterative complex network approach for chemical gas sensor array characterisation
Author(s) -
Cardellicchio Angelo,
Lombardi Angela,
Guaragnella Cataldo
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.5125
Subject(s) - computer science , ranging , complex system , basis (linear algebra) , sensor array , complex network , real time computing , biological system , artificial intelligence , machine learning , mathematics , telecommunications , geometry , biology , world wide web
Gas sensor arrays, also known as e‐noses, are used in several heterogeneous fields, ranging from environmental monitoring to food quality control. Often, these measurement systems operate within dynamic environments and are subject to conditions which may dramatically vary over time. Furthermore, the response of an e‐nose is influenced by several parameters, whose interactions may be complex and highly non‐linear. Therefore, in this study, the authors propose a complex network approach to model the overall interaction pattern of e‐noses. They show that this approach can significantly improve the understanding of the overall behaviour of e‐noses, and can be used as a basis to optimise the design of these measurement systems.