User profiles for Junhyung Moon

Junhyung Moon - Verified email at chauniv.ac.kr - Cited by 94
Junhyung Moon - Verified email at skku.edu - Cited by 82

Smartphone use is a risk factor for pediatric dry eye disease according to region and age: a case control study

JH Moon, KW Kim, NJ Moon - BMC ophthalmology, 2016 - Springer
Background In 2014, the overall rate of smartphone use in Korea was 83 and 89.8 % in children
and adolescents. The rate of smartphone use differs according to region (urban vs. rural…

Association between video display terminal use and dry eye disease in school children

JH Moon, MY Lee, NJ Moon - Journal of Pediatric …, 2014 - journals.healio.com
Purpose: To evaluate the risk factors of dry eye disease in school children associated with
video display terminal use. Methods: Two-hundred eighty-eight children were classified in …

Design and implementation of an explainable bidirectional lstm model based on transition system approach for cooperative ai-workers

M Yang, J Moon, S Yang, H Oh, S Lee, Y Kim… - Applied Sciences, 2022 - mdpi.com
Recently, interest in the Cyber-Physical System (CPS) has been increasing in the manufacturing
industry environment. Various manufacturing intelligence studies are being conducted …

Pop-on: Prediction of process using one-way language model based on nlp approach

J Moon, G Park, J Jeong - Applied Sciences, 2021 - mdpi.com
In business process management, the monitoring service is an important element that can
prevent various problems in advance from before they occur in companies and industries. …

Continuous bladder volume monitoring system for wearable applications

S Shin, J Moon, S Kye, K Lee, YS Lee… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
In this research, we propose a bladder volume monitoring system that can be effectively
applied for various voiding dysfunctions. Whereas conventional systems lack consecutive …

A novel embedding model based on a transition system for building industry-collaborative digital twin

M Yang, J Moon, J Jeong, S Sin, J Kim - Applied Sciences, 2022 - mdpi.com
Recently, the production environment has been rapidly changing, and accordingly, correct
mid term and short term decision-making for production is considered more important. …

A novel approach to the job shop scheduling problem based on the deep Q-network in a cooperative multi-access edge computing ecosystem

J Moon, M Yang, J Jeong - Sensors, 2021 - mdpi.com
In this study, based on multi-access edge computing (MEC), we provided the possibility of
cooperating manufacturing processes. We tried to solve the job shop scheduling problem by …

Intelligent estimation of exercise induced energy expenditure including excess post-exercise oxygen consumption (EPOC) with different exercise intensity

J Moon, M Oh, S Kim, K Lee, J Lee, Y Song, JY Jeon - Sensors, 2023 - mdpi.com
The limited availability of calorimetry systems for estimating human energy expenditure (EE)
while conducting exercise has prompted the development of wearable sensors utilizing …

Smart manufacturing scheduling system: DQN based on cooperative edge computing

J Moon, J Jeong - 2021 15th international conference on …, 2021 - ieeexplore.ieee.org
In this paper, Deep Q-Network (DQN) was adopted to solve the Job shop Scheduling
Problem (JSP) in the smart factory process. On the other hand, cloud computing has sensitive …

Artificial Intelligence-Based Diagnostic Support System for Patent Ductus Arteriosus in Premature Infants

S Park, J Moon, H Eun, JH Hong, K Lee - Journal of Clinical Medicine, 2024 - mdpi.com
Background: Patent ductus arteriosus (PDA) is a prevalent congenital heart defect in premature
infants, associated with significant morbidity and mortality. Accurate and timely diagnosis …