• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.164-164
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• 2017

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.709-714
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• 2022

As the delivery service market continued to increase, the number of delivery workers also increased, but the corresponding safety education is insufficient. Therefore, this study is going to explore the importance of safety education by grasping the relationship between safety awareness, accident experience, and safety behavior of delivery workers. With the help of the delivery workers' online community site, this study conducted a survey on the status of delivery workers' safety education for a total of 114 delivery workers. As a result of the association analysis, more than half of the general agency workers said they did not receive safety training, and delivery workers who completed safety training were 2.36 times more frequent than delivery workers who did not complete safety training. In addition, through correlation analysis and simple regression analysis, safety education had a positive effect on safety perception of delivery workers, and there was a significant correlation between safety perception and safety behavior. Through these, the relationship between safety education and safety awareness, safety behavior, and the number of accident experiences was noticed, and it was concluded that safety education should be mandatory on all delivery platforms to prevent accidents.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.557-562
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• 2023

Although various policies have been conducted on safety work of construction equipment such as lifts, tower cranes, and mobile cranes, institutional and managerial problems, and improvement measures, accidents are still not decreasing. This study tried to identify differences in the viewpoints of supervisors, safety managers, and construction machinery operators and to obtain survey data on the awareness and necessity of related safety education. In conclusion, accidents would be reduced when workers received effective training on accurate work methods, safety rules, and recognition and removal of risk factors.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.2
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• pp.149-160
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• 2016

Purpose: The purpose of this study was to identify factors influencing performance of MultiDrug-Resistant Organisms (MDROs) infection control by nurses in general hospitals. Methods: The research design was a descriptive survey design using convenience sampling. Data were collected from 130 nurses working in 6 general hospitals. Collected data were analyzed using SPSS/WIN 21.0 program for descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression analysis. Results: General hospital nurses' MDROs infection control performance was influenced by their awareness of environmental safety, recognition of MDROs infection control, number of beds in the hospital, whether nurses had nursing experience with infection control and guidelines for MDROs infection control. The most important predictors of MDROs infection control performance were awareness of environmental safety and recognition of MDROs infection control. Conclusion: Findings indicate that it is necessary to include content related to awareness of environmental safety and recognition of infection control in developing MDROs infection control education programs for general hospital nurses.

• Korean Journal of Hazardous Materials
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• v.6 no.2
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• pp.87-94
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• 2018

The study is aimed to analyze the MSDS awareness as per the properties, including general characteristics, of laboratory workers in university. It conducted the self-administered survey on the subject of 780 laboratory workers engaging in research activities in three university from February to May, 2017. Among them, it analyzed 686 cases except 94 of them, lacking content. As a result, education experience of MSDS, necessity of education, usage experience of MSDS, installation, comprehension, and accessibility showed a strategically significant difference in the recognition of MSDS. According to the categorical importance of MSDS, "the first aid measures" directly related to life was most significantly considered. It is estimated that it will contribute to prevention of safety accident by strengthening education on MSDS and increasing the level of awareness for laboratory workers.

• The Korean Journal of Emergency Medical Services
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• v.25 no.1
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• pp.85-103
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• 2021

Purpose: This study measured the mental health levels of 119 paramedics, and identified the association of mental health levels with safety environments, personal protective equipment, and coronavirus risk awareness. Methods: A total of 119 out of 428 from Daegu and Gyeongbuk took part in this study. The statistical analysis methods were the t-test, ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: In a multiple regression analysis, females (β=-.137, p=<.001) showed a higher relevance to negative mental health than males. The moderate satisfied (β=-.088, p=.014) and dissatisfied (β=-.147, p=.006) showed a higher relevance to negative mental health than higher satisfied. Moderate stress perception (β=-.199, p=<.001) and higher stress perception (β=-.414, p=<.001) showed a higher relevance to negative mental health than lower stress perception. Corona-virus risk awareness (β=-.050, p=.045) was related to negative mental health and safety environment (β=.136, p=<.001). Personal protective equipment (β=.147, p=<.001) were related to positive mental health. Conclusion: Conclusively, it is necessary to develop and implement high-quality intervention programs using significantly influencing variables to impact the mental health of 119 paramedics.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1073-1080
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• 2010

Realization of e-Navigation for maritime safety has become a hot research topic of these years. There has been lots of requirements of the convergence of VTS and new IT technology for prevent maritime accident caused huge mount of damage such as environmental damage of oil spill, human life and property. This paper aims to design of an intelligent VTS system based on context awareness and aids to navigation structure. The proposed system provides timely decision supporting mechanism using by situation awareness, reasoning, risk management technology and also provides information of aids to navigation for secure navigation.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.281-288
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• 2022

According to statistics conducted by the Korea Coast Guard, the number of accidents on small boats under 5 tons is increasing every year. This is because only a small number of people are on board. The previously developed maritime distress and safety systems are not well distributed because passengers must be equipped with additional remote equipment. The purpose of this study is to develop a distress awareness system that recognizes man over-board situations in real time. This study aims to present the part of the passenger tracking system among the small ship's distress awareness situational system that can generate passenger's location information in real time using deep learning based object detection and tracking technologies. The system consisted of the following steps. 1) the passenger location information is generated in the form of Bounding box using its detection model (YOLOv3). 2) Based on the Bounding box data, Deep SORT predicts the Bounding box's position in the next frame of the image with Kalman filter. 3) When the actual Bounding Box is created within the range predicted by Kalman-filter, Deep SORT repeats the process of recognizing it as the same object. 4) If the Bounding box deviates the ship's area or an error occurs in the number of tracking occupant, the system is decided the distress situation and issues an alert. This study is expected to complement the problems of existing technologies and ensure the safety of individuals aboard small boats.

• Food Science and Industry
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• v.43 no.2
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• pp.24-40
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• 2010