| The Journal of Engineering | |
| Iterative complex network approach for chemical gas sensor array characterisation | |
| Angela Lombardi1  Cataldo Guaragnella2  Angelo Cardellicchio2  | |
| [1] Istituto Nazionale di Fisica Nucleare, Sezione di Bari;Politecnico di Bari; | |
| 关键词: sensor arrays; complex networks; iterative methods; electronic noses; iterative complex network approach; chemical gas sensor array characterisation; e-nose; heterogeneous fields; environmental monitoring; food quality control; measurement systems; dynamic environments; interaction pattern; | |
| DOI : 10.1049/joe.2018.5125 | |
| 来源: DOAJ | |
【 摘 要 】
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.
【 授权许可】
Unknown