@article{ART002640804},
author={Jung-Keun Kim and Ji-Hye Koo and Yong Do Her},
title={Mask Payment App System Based on Fine Dust Measurement},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2020},
volume={15},
number={5},
pages={739-747},
doi={10.34163/jkits.2020.15.5.017}
TY - JOUR
AU - Jung-Keun Kim
AU - Ji-Hye Koo
AU - Yong Do Her
TI - Mask Payment App System Based on Fine Dust Measurement
JO - Journal of Knowledge Information Technology and Systems
PY - 2020
VL - 15
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 739
EP - 747
SN - 1975-7700
AB - Recently, various solutions have been proposed according to the rapid increase in the level of fine dust. However, technologies such as artificial rainfall and large-sized air purifiers that have been developed or studied to date have the disadvantage of lack of feasibility. Rather, the use of a mask, which has become more important and convenient due to the corona crisis, is emerging as one of the most feasible measures among domestic fine dust countermeasures. Therefore, this paper aims to develop an app system that enables people to efficiently and conveniently pay or purchase masks. In addition, through the developed app system, a response system that allows users to know in real time when a disaster alert such as fine dust occurs can be built. When a fine dust disaster alarm occurs, information on fine dust in the area can be immediately checked in real time using a mobile phone app. When a fine dust alarm occurs, QR code issuance is activated, and through a map in the application, the location of the nearest mask dispensing station, phone number, and mask inventory can be checked in real time. When a mask is provided to a user, the mask dispensing station can modify the mask-related data in the corresponding dispensing station database in real time, and various statistics related to the mask can be checked in real time on the web page and in the dedicated application for administrators. In the future, additional functions will continue to be supplemented by securing disease information and data on various epidemic diseases such as cold and flu, and the algorithm will be continuously improved to more accurately predict the level of fine dust.
KW - Fine Dust Measurement;Big Data;Mask Payment System;QR Code;Mask Inventory
DO - 10.34163/jkits.2020.15.5.017
ER -
Jung-Keun Kim, Ji-Hye Koo and Yong Do Her. (2020). Mask Payment App System Based on Fine Dust Measurement. Journal of Knowledge Information Technology and Systems, 15(5), 739-747.
Jung-Keun Kim, Ji-Hye Koo and Yong Do Her. 2020, "Mask Payment App System Based on Fine Dust Measurement", Journal of Knowledge Information Technology and Systems, vol.15, no.5 pp.739-747. Available from: doi:10.34163/jkits.2020.15.5.017
Jung-Keun Kim, Ji-Hye Koo, Yong Do Her "Mask Payment App System Based on Fine Dust Measurement" Journal of Knowledge Information Technology and Systems 15.5 pp.739-747 (2020) : 739.
Jung-Keun Kim, Ji-Hye Koo, Yong Do Her. Mask Payment App System Based on Fine Dust Measurement. 2020; 15(5), 739-747. Available from: doi:10.34163/jkits.2020.15.5.017
Jung-Keun Kim, Ji-Hye Koo and Yong Do Her. "Mask Payment App System Based on Fine Dust Measurement" Journal of Knowledge Information Technology and Systems 15, no.5 (2020) : 739-747.doi: 10.34163/jkits.2020.15.5.017
Jung-Keun Kim; Ji-Hye Koo; Yong Do Her. Mask Payment App System Based on Fine Dust Measurement. Journal of Knowledge Information Technology and Systems, 15(5), 739-747. doi: 10.34163/jkits.2020.15.5.017
Jung-Keun Kim; Ji-Hye Koo; Yong Do Her. Mask Payment App System Based on Fine Dust Measurement. Journal of Knowledge Information Technology and Systems. 2020; 15(5) 739-747. doi: 10.34163/jkits.2020.15.5.017
Jung-Keun Kim, Ji-Hye Koo, Yong Do Her. Mask Payment App System Based on Fine Dust Measurement. 2020; 15(5), 739-747. Available from: doi:10.34163/jkits.2020.15.5.017
Jung-Keun Kim, Ji-Hye Koo and Yong Do Her. "Mask Payment App System Based on Fine Dust Measurement" Journal of Knowledge Information Technology and Systems 15, no.5 (2020) : 739-747.doi: 10.34163/jkits.2020.15.5.017