- E-ISSN2586-6036
- KCI
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.
Abstract
Purpose: The purpose is to identify hazardous and risk factors by utilizing the risk assessment theory implemented in construction sites, analyze repetitive accident cases and risk factors, derive risk factors by type of work, systematically analyze and evaluate them, predict and manage the possibility of accidents, and present an effective plan to reduce accidents by effectively applying them in the field. Research design, data and methodology: This paper targets metal window construction work being carried out at construction sites, and examines accident types, risk factors, and cases by work type, and analyzes them using statistical data. from domestic and international academic A, papers, and research institutes. Result: There are many volatile elements at construction sites. If we identify and analyze the risk factors at the workplace, establish risk measures, and conduct risk assessments, we can reduce industrial accidents and thus reduce productivity loss. Conclusion: Based on various data from construction sites, we can propose risk assessment safety measure for each type of work and improve the safety and health level of the workplace by introducing an effective safety management system.
Abstract
This study aims to examine the impact of integrating wearable-based digital wellness data with healthcare institutions on healthcare e-business innovation. Recent advancements in artificial intelligence, the Internet of Things, and cloud technology are accelerating the transformation of the healthcare industry. In particular, health data collected via wearable devices is emerging as a key factor reshaping the entire spectrum of diagnosis, prevention, and management systems. This data enables patient-centered care, personalized management, and remote monitoring by collecting and integrating patients' biometric information in real time. The research methodology involved analyzing major international literature from the past five years, with results organized into four categories. First, wearable data has fostered a platform ecosystem between healthcare institutions and companies. Second, it has supported patient-centered innovation by enhancing patient self-management and engagement. Third, privacy protection and lack of interoperability remain unresolved challenges. Fourth, it has been confirmed that new business models, such as wellness programs can be created. In conclusion, while wearable data is a driving force for healthcare e-business innovation, institutional reforms, collaborative governance, and securing social acceptance are necessary for widespread adoption. This study contributes to both theory and practice by clarifying how data-driven convergence between healthcare and digital business can generate sustainable value creation.
Abstract
Purpose: This study aims to investigate the potential of recycling spent coffee grounds (SCG) as an auxiliary biofuel to improve energy efficiency and odor reduction in low-temperature sludge drying systems. Research Design & Data Collection: A pilot-scale closed-loop belt dryer equipped with an inverter-driven scroll compressor (30–200 Hz) was tested under varying compressor frequencies (130, 160, 180 Hz). Experimental data were collected for power use, temperature, pressure, and moisture content. Pilot-scale validation was supported by certified industrial testing (KTI and Daejeon Analytical Research Institute, 2025), confirming a mean SEC of 0.579 kWh kg⁻¹-H₂O and a final moisture of 7.4 wt %, both within design targets. Research Results: The system achieved an average Specific Energy Consumption (SEC) of 0.607 kWh/kg-H₂O and reduced final moisture content to 4.6 wt%, outperforming target thresholds of 0.64 kWh/kg-H₂O and 10 wt%. Operators also reported a noticeable reduction in odor emissions, suggesting SCG's adsorption capacity, though quantitative odor profiling remains a subject of future study. Conclusion: The findings confirm that SCG can serve as an effective auxiliary fuel, enhancing both energy efficiency and environmental performance. The developed system presents a scalable solution for sustainable sludge management within the framework of circular economy principles
Abstract
Purpose : This study investigates the biochemical mechanisms and removal strategies for aging odor (2-Nonenal) and indoor air odor (VOCs, H2S, NH3). Both odor types share volatile aldehydes as key contributors, making them persistent and challenging to eliminate with conventional deodorization methods. While aging odor originates from lipid peroxidation in sebaceous glands, indoor air odor is primarily caused by microbial metabolism and environmental pollutants. This study aims to develop a bio-based odor removal strategy integrating plant-based antioxidants, marine bio-adsorbents, and microbial degradation technologies for long-term odor control. Research Design & Data : A qualitative, literature-based research approach was employed, incorporating a systematic review of peer-reviewed journals, patents, and industrial reports. The study utilizes comparative analysis to evaluate the persistence, chemical structure, and removal techniques of aging and indoor air odor. Bio-based solutions are explored, including polyphenol-rich plant extracts, fucoidan-based marine bio-adsorbents, and enzymatic microbial filtration systems. Research Results : The findings reveal that conventional deodorization methods, such as chemical masking agents and activated carbon filters, provide only temporary relief and fail to address the underlying biochemical reactions leading to odor formation. In contrast, bio-based solutions offer sustainable, long-term odor management, effectively neutralizing both aging odor and indoor air pollutants. Conclusion : By integrating plant antioxidants, marine bio-adsorbents, and microbial enzymatic degradation, this study proposes a holistic, eco-friendly odor removal system applicable to personal hygiene, indoor air quality, and elderly care environments. Future research should focus on experimental validation and real-world application testing to optimize and commercialize bio-based deodorization technologies
