Identifying partial subroutines for instrument control based on regular expressions

Maiti, Ananda and Kist, Alexander A. and Maxwell, Andrew D. (2017) Identifying partial subroutines for instrument control based on regular expressions. In: 14th International Conference on Remote Engineering and Virtual Instrumentation (REV 2017): Online Engineering & Internet of Things, 15-17 Mar 2017, New York, USA.

Abstract

With increasing reliance on smart devices to communicate with each other to deliver critical services, it is important that the devices become intelligent and reliable. Such devices are widely used in Internet of Things applications that operate on the Internet. These devices often communicate with new nodes and face new situations while interacting with them. This paper focuses on providing a generalized description of the communication between a particular pair of devices. This description is based on regular expressions from automata theory. The regular expressions enable the devices to determine the properties of future interactions with other similar devices. This can help the nodes to validate incoming commands, evaluate the interactions and maintain a reasonable quality of service. A particular IoT application - a Remote Access Laboratory system, is shown as an example where the regular expressions can be used. This application aims to use the regular expressions based generalized descriptions to identify potential subroutines from previously stored interaction data.


Statistics for USQ ePrint 34236
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Date Deposited: 26 Nov 2019 07:12
Last Modified: 13 Feb 2020 05:01
Uncontrolled Keywords: automaton; remote laboratories; algorithmic information theory; programming; e-learning; internet of Things
Fields of Research : 08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080203 Computational Logic and Formal Languages
13 Education > 1399 Other Education > 139999 Education not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1007/978-3-319-64352-6_45
URI: http://eprints.usq.edu.au/id/eprint/34236

Actions (login required)

View Item Archive Repository Staff Only