JeeWoong Park
Biographic Data
| ID | 7758697 |
|---|---|
| NAME | JeeWoong Park |
| GIVEN NAMES | JeeWoong |
| FAMILY NAME | Park |
| SIGNATURE | PARK J |
| AFFILIATIONS | University of Nevada, Las Vegas |
| ORCID | 0000-0003-2205-6585 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Assessing personal protective equipment usage and its correlation with knowledge, attitudes, performance, and safety culture among workers in small and medium-sized enterprises
It can be concluded that the missing of inadequate legal supervision for small industries exists. Therefore, it can be inferred that if supervision and regulation are enhanced for safety training and implementation that may lead to increased usage of PPE
Investigation of Progressive Learning within a Statics Course
Previous research has demonstrated a link between prior knowledge and student success in engineering courses. However, while course-to-course relations exist, researchers have paid insufficient attention to internal course performance development. This study aims to address this gap—designed to quantify and thus extract meaningful insights—by examining a fundamental engineering course, Statics, from three perspectives: (1) progressive learning re…
Examining the effect of safety climate on accident risk through job stress
The results of the study revealed that job stress mediates the relationship between safety climate and accident risk. This finding suggests that organizations can potentially decrease accidents in industries by addressing and managing job stress in the workplace
Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety prediction for scaffolds. It implements a divide-and-conquer technique with deep learning. As a test scaffolding, a four-bay, three-story scaffold model was used. Analysis of the model led to 1411 unique s…
No prominent works on this page.
Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety prediction for scaffolds. It implements a divide-and-conquer technique with deep learning. As a test scaffolding, a four-bay, three-story scaffold model was used. Analysis of the model led to 1411 unique s…
Investigation of Progressive Learning within a Statics Course
Previous research has demonstrated a link between prior knowledge and student success in engineering courses. However, while course-to-course relations exist, researchers have paid insufficient attention to internal course performance development. This study aims to address this gap—designed to quantify and thus extract meaningful insights—by examining a fundamental engineering course, Statics, from three perspectives: (1) progressive learning re…
Examining the effect of safety climate on accident risk through job stress
The results of the study revealed that job stress mediates the relationship between safety climate and accident risk. This finding suggests that organizations can potentially decrease accidents in industries by addressing and managing job stress in the workplace
Assessing personal protective equipment usage and its correlation with knowledge, attitudes, performance, and safety culture among workers in small and medium-sized enterprises
It can be concluded that the missing of inadequate legal supervision for small industries exists. Therefore, it can be inferred that if supervision and regulation are enhanced for safety training and implementation that may lead to increased usage of PPE
Computer Science (3 works) · Occupational Health and Safety Research (3 works) · Artificial Intelligence (2 works) · Engineering (2 works) · Medicine (2 works) · Occupational safety and health (2 works) · Psychology (2 works) · Quality and Safety in Healthcare (2 works) · Risk and Safety Analysis (2 works) · Accident (philosophy (1 work)