@article{ART002795080},
author={Kye Kyung Kim},
title={Deep Learning Based User Safety Profiling Using User Feature Information Modeling},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2021},
volume={17},
number={2},
pages={143-150},
doi={10.29056/jsav.2021.12.15}
TY - JOUR
AU - Kye Kyung Kim
TI - Deep Learning Based User Safety Profiling Using User Feature Information Modeling
JO - Journal of Software Assessment and Valuation
PY - 2021
VL - 17
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 143
EP - 150
SN - 2092-8114
AB - There is a need for an artificial intelligent technology that can reduce various types of safety accidents by analyzing the risk factors that cause safety accidents in industrial site. In this paper, user safety profiling methods are proposed that can prevent safety accidents in advance by specifying and modeling user information data related to safety accidents. User information data is classified into normal and abnormal conditions through deep learning based artificial intelligence analysis. As a result of verifying user safety profiling technology using more than 10 types of industrial field data, 93.6% of user safety profiling accuracy was obtained.
KW - user profiling;feature modeling;deep learning;artificial intelligence system;big data analysis
DO - 10.29056/jsav.2021.12.15
ER -
Kye Kyung Kim. (2021). Deep Learning Based User Safety Profiling Using User Feature Information Modeling. Journal of Software Assessment and Valuation, 17(2), 143-150.
Kye Kyung Kim. 2021, "Deep Learning Based User Safety Profiling Using User Feature Information Modeling", Journal of Software Assessment and Valuation, vol.17, no.2 pp.143-150. Available from: doi:10.29056/jsav.2021.12.15
Kye Kyung Kim "Deep Learning Based User Safety Profiling Using User Feature Information Modeling" Journal of Software Assessment and Valuation 17.2 pp.143-150 (2021) : 143.
Kye Kyung Kim. Deep Learning Based User Safety Profiling Using User Feature Information Modeling. 2021; 17(2), 143-150. Available from: doi:10.29056/jsav.2021.12.15
Kye Kyung Kim. "Deep Learning Based User Safety Profiling Using User Feature Information Modeling" Journal of Software Assessment and Valuation 17, no.2 (2021) : 143-150.doi: 10.29056/jsav.2021.12.15
Kye Kyung Kim. Deep Learning Based User Safety Profiling Using User Feature Information Modeling. Journal of Software Assessment and Valuation, 17(2), 143-150. doi: 10.29056/jsav.2021.12.15
Kye Kyung Kim. Deep Learning Based User Safety Profiling Using User Feature Information Modeling. Journal of Software Assessment and Valuation. 2021; 17(2) 143-150. doi: 10.29056/jsav.2021.12.15
Kye Kyung Kim. Deep Learning Based User Safety Profiling Using User Feature Information Modeling. 2021; 17(2), 143-150. Available from: doi:10.29056/jsav.2021.12.15
Kye Kyung Kim. "Deep Learning Based User Safety Profiling Using User Feature Information Modeling" Journal of Software Assessment and Valuation 17, no.2 (2021) : 143-150.doi: 10.29056/jsav.2021.12.15
