Automated quantification system for vision through polymer‐dispersed liquid crystal double‐glazed windows: circuit implementation

LAMI, Mohammed, AL‐NAEMI, Faris and ISSA, Walid (2022). Automated quantification system for vision through polymer‐dispersed liquid crystal double‐glazed windows: circuit implementation. IET Circuits, Devices & Systems.

Preview

PDF cds2.12135.pdf - Published Version Creative Commons Attribution. Download (2MB) | Preview

Abstract

Polymer‐dispersed liquid crystal automated quantification system for vision through polymer‐dispersed liquid crystal double‐glazed windows: Circuit implementation (PDLC)‐windows played an essential role in providing a visual comfort for occupants in commercial buildings recently. PDLC windows adjust the visible transparency of the glazing to control the daylight accessed to internal environments. A former study proposed an algorithm to quantify the vision through the PDLC glazing in terms of image contrast. The quantification algorithm determines the minimum level of transparency that maintains a comfortable vision through the window. This study introduced the implementation of a real‐time automated system that achieves the vision quantification process. Firstly, system on‐chip was utilised to realise the quantification algorithm, including contrast estimation. Secondly, the contrast determination action was re‐implemented using MATLAB, Cortex‐A9 microcontroller, and Cyclone V field programmable gate array field programmable gate array‐chip. The implemented systems were evaluated based on the latency, throughput, power consumption, and cost.

Item Type:	Article
Additional Information:	** Article version: VoR ** From Wiley via Jisc Publications Router ** Licence for VoR version of this article: http://creativecommons.org/licenses/by/4.0/ **Journal IDs: issn 1751-858X; issn 1751-8598 **Article IDs: publisher-id: cds212135 **History: published 27-11-2022; accepted 14-11-2022; rev-recd 09-11-2022; submitted 13-10-2022
Uncontrolled Keywords:	ORIGINAL RESEARCH, Cortex‐A9 microcontroller, FPGA, PDLC glazing, smart windows, system on‐chip, vision quantification
Identification Number:	https://doi.org/10.1049/cds2.12135
SWORD Depositor:	Colin Knott
Depositing User:	Colin Knott
Date Deposited:	29 Nov 2022 10:53
Last Modified:	29 Nov 2022 10:53
URI:	https://shura.shu.ac.uk/id/eprint/31074

Actions (login required)

View Item

Downloads

Publication Metrics