Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances
Conference paper
Ramrecha, V., Bekaroo, G., Santokhee, A. and Juddoo, S. 2017. Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances. IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI). Port Louis, Mauritius 23 - 24 Nov 2017 IEEE. pp. 154-158 https://doi.org/10.1109/ISCMI.2017.8279617
Type | Conference paper |
---|---|
Title | Exploring the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances |
Authors | Ramrecha, V., Bekaroo, G., Santokhee, A. and Juddoo, S. |
Abstract | During the past decade, the significant increase in the adoption of consumer electronics has caused a rise in energy demand within the residential and household sectors globally. Since these electronics are dependent on electricity, the impact of these sectors on the environment is also deteriorating and it becomes important to take remedial action. For this, various websites and mobile applications have emerged that provide information to household users on energy consumption of devices and as well as reduction mechanisms. However, since these platforms are limited in various ways in their endeavor to promote self-learning on energy consumption reduction, awareness still remains an important barrier thus giving rise to the need for further investigation on innovative technologies and platforms. Even though Near Field Communication (NFC) could potentially be used, limited work has been conducted in relation to energy consumption of consumer electronics. As such, this paper delves into the application and usability of NFC for promoting self-learning on energy consumption of household electronic appliances through an Android based application called NFC Energy Tracker (NET). |
Keywords | near-field communication; self-learning; energy consumption; household appliances; usability |
Conference | IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI) |
Page range | 154-158 |
Proceedings Title | 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) |
Series | International Conference on Soft Computing & Machine Intelligence ISCMI |
ISSN | 2640-0154 |
Electronic | 2640-0146 |
ISBN | |
Electronic | 9781538613146 |
Paperback | 9781538613153 |
Publisher | IEEE |
Publication dates | |
23 Nov 2017 | |
Online | 05 Feb 2018 |
Publication process dates | |
Deposited | 26 May 2020 |
Accepted | 06 Aug 2017 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISCMI.2017.8279617 |
Web of Science identifier | WOS:000426527600031 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8267452/proceeding |
Related Output | |
Has metadata | https://publons.com/wos-op/publon/20462682/ |
Language | English |
https://repository.mdx.ac.uk/item/88y66
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