- E-ISSN2586-6036
- KCI
Abstract
"In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.
Abstract
Purpose : The purpose of this study is to diagnose the safety management problems of the Korean construction industry and to suggest a direction to improve the safety level of the construction industry in the future. Method : Using the time series data, we analyzed the number of construction accident victims, accident rate, number of deaths, and mortality rate after the enactment of the Occupational Safety and Health Act, and diagnosed the problems of the construction safety management system and sought solutions. Results: The safety level of the construction industry has been partially improved, but the number of disaster victims is still increasing, and problems such as lack of effectiveness of the safety management system, field work-oriented method, and subcontracting structure are continuing. Conclusions: In order to improve the safety management of the construction industry, it is necessary to shift away from the field-oriented production method to the modular construction method, simplify and clarify the safety management system, and improve the overall social system. Through this, more effective measures can be prepared to prevent safety accidents in the construction industry.
Abstract
Purpose: This study analyzed the safety and health responsibilities in industrial sites, which were emphasized after the comprehensive revision of the Industrial Safety and Health Act, from a legal perspective. Research design, data and methodology: It will present an analysis of the obligations regarding safety and health measures and the legal responsibilities for violations under the Industrial Safety and Health Act through normative analysis, case studies, and examination of precedents. Results: Employers and safety and health stakeholders face a high risk of incurring both criminal liability and civil damages for violations of the Industrial Safety and Health Act. The 2020 amendment to the Act has strengthened the preventive measures obligations of contractors, confirming that policy changes, such as bidding restrictions for commissioning organizations, have expanded the scope of responsibility. Conclusions: To prevent industrial accidents, it is essential to strengthen legal education for safety and health stakeholders, improve the accident investigation system, and clarify responsibilities. At the same time, the need for institutional improvements to enhance the fairness and predictability of legal applications is emphasized to resolve the controversy over excessive criminal penalties. The cultivation of personnel equipped with technical and legal practical capabilities in safety and health management, along with the establishment of proactive cooperation systems, is proposed as a key task for creating a no-accident working environment.
Abstract
Some provisions of the Clean Air Conservation Act were enacted at a time when industrialization was accelerating, so it is difficult to properly reflect the current complex industrial site conditions. In particular, in the case of “the act of mixing clean air with pollutants exhausting from the emission facility to lower the level of pollution when operating the emission facility”, which is prohibited under Article 31 (Operation of emission facilities and prevention facilities), the actor intentionally It can be applied even in situations where it is impossible to confirm whether the purpose is to lower the pollution level and whether the pollution level is actually lowered. This study aims to examine whether the level of pollution actually decreases when clean, unpolluted air is mixed with pollutants generated from emission facilities, thereby confirming the necessity of revising the Clean Air Conservation Act and suggesting directions for the enforcement of related laws.
Abstract
Purpose: The purpose of this study was to identify the factors that enhance brand identity among the four relationship factors in the well-being industry: brand relationships, product relationships, employee relationships, and other customer relationships, and to examine the impact between consumers' brand identity and committed behaviors performed by consumers of brand equality, promotion, cooperation, and advocacy. Research design, data and methodology: The models designed in this study were proposed based on prior studies and the survey was conducted on well-being consumers for empirical testing of the models. Valid samples of a total of 350 data collected were analyzed using the SAS 9.4 statistical package programs, and the results for the structural equation model analysis are as follows. Results: First, the three relationships in the brand community have all been shown to improve brand identity, but the product relationship has had a negative significant effect. Second, consumers' brand identity has had a strong effect of promoting both committed behavior, cooperation and advocacy. Conclusions: Based on these analysis results, the theoretical implications of the well-being industry were presented, and effective practical implications were presented to the well-being operators and the community operators of well-being brands.
Abstract
Purpose: This narrative review aims to synthesize global evidence on volatile organic compounds (VOCs) and semi-volatile organic compounds (SVOCs), evaluating their sources, distribution, and health impacts across urban, industrial, landfill, and indoor settings to inform mitigation strategies and public health policies. Research design, data and methodology: A comprehensive literature search was conducted in PubMed, Web of Science, Scopus, and Google Scholar for peer-reviewed studies (2010–2025), using keywords like “VOCs,” “SVOCs,” “health impacts,” and “air pollution.” From 1,800 articles, 120 were screened, and 35 were analyzed based on methodological quality. Data on emission sources, concentrations, exposure pathways, and health effects were extracted, categorized by setting and compound type, and synthesized narratively with tabular summaries. Results: VOCs (e.g., benzene, toluene) and SVOCs (e.g., phthalates, PAHs) from landfills, vehicles, industries, and household products pose significant carcinogenic (e.g., leukemia, cancer risks up to 1.67 × 10⁻³) and non-carcinogenic risks (e.g., asthma, neurological disorders). Landfill emissions (18.1–806.3 mg/m³) and indoor concentrations (2–5 times higher than outdoors) disproportionately affect vulnerable populations like children and landfill workers. Conclusions: VOCs and SVOCs are critical global pollutants requiring urgent mitigation through biochar, ventilation, and regulatory reforms. Comprehensive monitoring and AI-based modeling are essential to protect public health.
Abstract
Purpose: This study analyzes global health-related search trends using Google Trends data from January 2021 to the present. It focuses on elderly health, odor management, beauty products, deodorization, and industry-related health topics to uncover long-term trends, seasonal variations, and forecast patterns. These insights reflect public interest and market behavior in health-related areas. Research Design & Data, Methodology: Time-Series Analysis, Correlation Analysis, and ARIMA forecasting were applied to analyze to Google Trends data. Time-Series Analysis identified patterns and seasonality; Correlation Analysis explored relationships among search terms; and ARIMA predicted search trends for the next 12 weeks. Research Results: Elderly health searches steadily increased, indicating rising awareness. Odor and deodorization showed strong seasonality, peaking in warmer months. Beauty product searches remained relatively stable, with spikes during promotional periods. Industry-related health concerns varied, reflecting workplace policies and regulations. Correlation results revealed strong links between odor and deodorization, and moderate connections between elderly health and beauty products. Conclusion: Google Trends effectively captures public interest in health topics. The study provides valuable insights for public health professionals, businesses, and policymakers. Future research should integrate external variables and machine learning methods to enhance prediction accuracy and monitor emerging health concerns.
Abstract
Purpose: It is necessary to prepare more groundbreaking measures to prevent recurrence in order to reduce the number of industrial accidents in Korea that occur steadily. In particular, since workers with disabilities are much more vulnerable to disaster safety than non-disabled workers, there is a great need to build a customized safety environment system suitable for the characteristics of the work in which workers with disabilities work and to promote management efficiency. Research design, data and methodology: Based on the analysis of the actual status of safety and health management of workplaces for the disabled, such as small, medium-sized and major businesses in Korea, an app was designed and developed to improve safety and health management efficiency of workplaces for the disabled. First, it was designed so that managers of workplaces with disabilities can understand at a glance key legal information that managers need to know and it was improved to suit the eye level of disabled workers so that they could self-evaluate the risk of their work by applying the risk assessment model for workplaces with disabilities. In addition, a mobile education environment was created in which safety and health education contents suitable for the characteristics of disabled workers can be learned by themselves. Results: When this app is applied to domestic workplaces, it is possible to check the exact contents of occupational safety and health education and easily search and check various legal information anytime, anywhere, allowing managers and disabled workers to quickly and efficiently manage various safety information. Conclusions: In addition, the establishment of a mobile safety and health management system that can quickly identify and clearly respond to various legal standards and risks of workplaces with disabilities can be expected to help prevent industrial accidents at workplaces with disabilities in Korea.
Abstract
Purpose : We would like to analyze the problems of the construction safety management system at small construction sites and review the domestic construction safety management system to suggest institutional improvement measures to reduce industrial accidents. Survey : This study evaluated the effectiveness of BBS by conducting a survey of 30 people working at small construction sites with construction costs of less than 5 billion won during 2024. Analysis : It proposed ways to form a BBS circulation structure by sharing safety before work, guiding risk, and using checklists during work, and improving workers' safety behavior through data-based safety measures. Conclusion: BBS was applied to small construction sites to raise safety awareness, and systematic safety management and disaster prevention measures using checklist-based big data were proposed.
Abstract
Purpose: This study investigates the differences in safety perceptions between workers and managers, a key factor contributing to high accident rates in the construction industry, and reveals different perspectives between the two groups according to their work content, responsibility, and exposure to risk. Research design, data and methodology: Based on survey data collected from workers and managers, the difference in safety perception is analyzed based on key items such as recognition of the work environment as safe, margin for fair pressure, recognition of the Serious Accident Punishment Act, and recognition of safety education Results: It was confirmed that there were significant differences in the manager group, such as being highly aware of legal compliance and responsibility, while the worker group was more aware of the degree of awareness of safety education Conclusions: This study analyzes the causes of this gap and proposes the necessity of a cooperative approach such as system promotion and enhanced education at the government level to resolve it.
