• Fire Science and Engineering
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• v.31 no.6
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• pp.107-111
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• 2017

The purpose of this study was to develop a Eco smoking booth that can effectively reduce hazardous pollutants generated during smoking and evaluate the efficiency and effectiveness of removing hazardous pollutants. The design and manufacture of an eco-friendly automatic smoking booth equipped with deodorizing facilities, such as inlet - HEPA filter - electrostatic precipitator (EP) - impregnated activated carbon - exhaust port, etc., and the efficiency of removing hazardous pollutants from inside and outside was measured and evaluated. The complex odor removal efficiency was 95.37% inside the smoking booth, and 97.38% at the exit of the preventive facility. The carbon monoxide removal efficiency was 94.25% in the inside and 98.32% in the outlet. In addition, the removal efficiency of particulate matter, (PM1, PM2.5, and PM10) inside the smoking booth was 98.59%, and 98.85% at the outlet. The total volatile organic compounds (TVOCs) decreased from $26,000{\mu}g/m^3$ to $5,203{\mu}g/m^3$ in the smoking booth, resulting in 79.99% removal efficiency. After the ventilator was operated, the measured effluent concentration was $5,019{\mu}g/m^3$, and the removal efficiency was 80.70%. Therefore, the smoking booth designed and manufactured through this study can be applied to the removal of harmful pollutants even in the small working environment in the future.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.1
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• pp.78-88
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• 2022

Objectives: To develop the smart sensor to protect worker's health from chemical exposure by adopting ICT (Information and Communications Technology) technologies. Methods: To develope real-time chemical exposure monitoring system, IoT (Internet of Things) sensor technology and regulations were reviewed. We developed and produced smart sensor. A smart sensor is a system consisting of a sensor unit, a communication unit, and a platform. To verify the performance of smart sensors, each sensor has been certified by the Korea Laboratory Accreditation Scheme (KOLAS). Results: Chemicals (TVOC; Total Volatile Organic Compounds, Cl₂: Chlorine, HF: Hydrogen fluoride and HCN: Hydrogen cyanide) were selected according to a priority logic (KOSHA Alert, acute poisoning statistics, literature review). Notifications were set according to OEL (occupational exposure limit). Sensors were selected based on OEL and the capabilities of the sensors. Communication is designed to use LTE (Long Term Evolution) and Wi-Fi at the same time for convenience. Electronic platform were applied to build this monitoring system. Conclusions: Real-time monitoring system for OEL of hazardous chemicals in workplace was developed. Smart sensor can detect chemicals to complement monitoring of traditional workplace environmental monitoring such as short term and peak exposure. Further research is needed to expand the scope of application, improve reliability, and systematically application.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.2
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• pp.201-207
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• 2011

Purpose: This study was to find out the influence on eyes of indoor air quality in college students taking course, such as Sick-building syndrome symptoms and effects on the eye in new-built university buildings. Methods: We selected a new building in a university located in Metro Seoul and college students in a department for the study. The number of total participants was 33, to whom questionnaire surveys were conducted in advance to check individual traits (gender, age, whether to smoke, whether to wear contact lenses, or whether to drink). The first questionnaire surveys and checking of ocular symptoms to first indoor hazardous materials were conducted in October and two months later the second surveys and checking were carried out in December. The indoor air quality was measured when conducting the first questionnaire surveys and the second questionnaire surveys; especially measurements of gaseous materials such as aldehydes and VOCs in the indoor air were conducted. Results: Indoor air quality of the new building was as follows: formaldehyde level was 22.90 ${\mu}g/m^3$ in the first measurement and 16.79 ${\mu}g/m^3$ in the second measurement. In addition, most materials showed higher value in the first measurement. The level of TVOC was statistically significant (p<0.05) decreased on 448.54 ${\mu}g/m^3$ in the first and 62.55 ${\mu}g/m^3$ in the second. In clinical assessments to check ocular symptoms caused by eye irritations, dry eye syndrome was found in the first and second exposures. When comparing the first and second assessments, dry eyes deteriorated in the morning of the second attempt compared to the first one. Conclusions: In the survey of ocular symptoms and the measurement of indoor air quality, the level of formaldehyde was measured higher in the second attempt than the first; thus, it was confirmed the influence of indoor air quality in a new building upon ocular symptoms of occupants.