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노지원 ( Jiwon Roh ),박현도 ( Hyundo Park ),김정환 ( Junghwan Kim ),노인수 ( Insoo Ro ) 한국공업화학회 2023 공업화학전망 Vol.26 No.1
최근 들어 다양한 분야에서 머신 러닝을 적용하는 연구들이 많이 증가하고 있다. 이러한 발전 배경으로 컴퓨터 기술의 발달과 다양한 알고리즘의 등장 등이 있다. 머신 러닝을 이용한 모델은 기존에 오래 걸렸던 계산, 분석을 대체하고, 방대한 양의 데이터를 기반으로 패턴과 상관관계를 찾아 분석하여 기존에 파악하지 못했던 인과관계 도출 및 분석 결과를 토대로 최적의 의사 결정과 예측 값을 빠르고 효과적으로 제시한다. 이러한 머신 러닝의 장점을 이용하여 촉매 분야에서도 머신 러닝을 이용하여 계산화학의 계산 비용을 절약하거나 반응 실험 등의 결과를 미리 예측하는 연구들이 진행되고 있다. 본 총설에서는 머신 러닝을 이용한 모델 개발 방법과 DFT 데이터와 실험데이터를 이용한 각각의 머신 러닝 적용 촉매 연구 사례들을 소개했다. 마지막으로 머신 러닝을 적용한 촉매 연구들의 방향에 대해 제시하고자 한다.
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작업환경측정 지정기관의 분석실 현황 및 분석결과의 신뢰성에 영향을 주는 요인
김기웅 ( Ki-woong Kim ),박해동 ( Hae Dong Park ),김성호 ( Sungho Kim ),노지원 ( Jiwon Ro ),황은송 ( Eun Song Hwang ),정은교 ( Eun-kyo Chung ),조기홍 ( Kee Hong Cho ) 한국산업보건학회 (구 한국산업위생학회) 2018 한국산업보건학회지 Vol.28 No.1
Objectives: This study investigated to the analytical work environment, analyst's expert and status of analytical instrument in the designated organization's laboratory for measuring work environment, and carried out to ensure reliability of analytical results. Methods: This study was conducted by 114 analysts who work in designated organization's laboratory for measuring work environment. Information on the working environment and personal characteristics of the analysts were collected using a self-reported questionnaire and were analyzed using the SPSS program through analysis of frequency and t-test. Results: The speciality of subjects was occupational health (57.0%), environmental health (38.6%) and environmental engineering (4.4%), and they had a higher level of academic ability than workers in other industries. Analysts had to handle a large number of sample analysis and many tasks other than analytical work. The analysts answered that it was difficult to analyze organic substances than inorganic substances, and the difficult parts were the analytical methods setting of new substances (55.3%), instrument analysis (24.6%) and principle of analysis (23.7%). Analytical instruments mainly have legally required instruments. The difficulty of the analysis is solved from the senior analyst in the laboratory and analytical information is mainly exchanged through seminar organized by the Association of Occupational Health Analysts. The analysts who are planning to move or considering the company were 48.2%, and the reasons for moving the company were difficult to work (14.0%), low salary (9.6%), employment type (8.8%) and job stress (7.0%). Conclusions: The conclusions of our study were that it was possible to secure reliability by solving the problems such as implementing professional education to improve expertise of analysts, strengthening analytical instruments through institutional improvement and improving work environment.
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화학물질 노출정보 제공을 위한 GC-MS 분석자동화 프로그램 개발
박승현 ( Seung-hyun Park ),박해동 ( Hae Dong Park ),장미연 ( Miyeon Jang ),노지원 ( Jiwon Ro ),조현민 ( Hyounmin Cho ) 한국산업보건학회 (구 한국산업위생학회) 2021 한국산업보건학회지 Vol.31 No.1
Objective: The purpose of this study was to contribute to the prevention of occupational diseases through the development of an automatic analysis program for evaluating workers’ exposure to hazardous chemical substances. Methods: The authors selected chemical substances that caused occupational disease in Korea and chemical substances that are frequently used in industrial sites as target substances for a GC-MS automatic analysis program. The target substances are organic compounds which can be measured by a passive sampler. The automatic analysis program was studied using various raw data obtained from GC-MS analysis for the target substances. Results: A total of 48 organic compounds that can be measured with a passive sampler were selected as target substances for the GC-MS automatic analysis program. The selected compounds included substances that caused occupational disease, substances related to C1 and D1 in special health examinations, and substances for which work environment measurements have been frequently conducted. The GC-MS automatic analysis program was developed by combining information mainly on retention time and mass spectrum. The GC-MS automatic analysis program is designed to analyze unknown samples by comparing the mass spectrum and retention time of the samples to those of reference materials. To evaluate the stability of the program, samples at about the 30-50% level of OELs were prepared and analyzed with the GC-MS automatic analysis program, resulting in stable results for all 48 organic compounds. Conclusion: An automatic analysis program for a total of 48 organic compounds was developed using a GC-MS system that can analyze organic compounds. Unknown samples that contain the 48 organic compounds can be automatically analyzed by the developed program. It is anticipated that it can contribute to the prevention of occupational diseases through an GC-MS automatic analysis program that can quickly provide workers with information on exposure to chemical substances.
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전자제품 제조업 교대 근로자의 성별에 따른 수면의 질과 피로도 차이
김기웅 ( Ki-woong Kim ),정은교 ( Eun-kyo Chung ),박해동 ( Hae Dong Park ),김갑배 ( Kab-bae Kim ),강준혁 ( Joon Hyuk Kang ),노지원 ( Jiwon Ro ),서회경 ( Hoe-kyeong Seo ) 한국산업보건학회 (구 한국산업위생학회) 2017 한국산업보건학회지 Vol.27 No.2
Objectives: Sleep quality is directly related to the health, quality of life and working capacity and is affected by age, gender, exercise, life habits. Gender dissimilarities in sleep quality are acknowledged. However, the gender difference in the quality of sleep in shift workers was not well known. Our aim was to study the less known gender differences in the quality of sleep of shift workers. Methods: 1,008 study subjects aged between 21 and 57 years among these, 637(525 male and 112 female workers) were daytime workers and 371(253 males and 118 female workers) were shift workers. Sleep quality was measured by self-report through the Pittsburg Sleep Quality Index(PSQI) and fatigue was measured by using the Chalder Fatigue Scale(CFS). All data was analyzed using SPSS version 19.0 program. The study was approved by the Institutional Review Board of the Occupational Safety and Health Research Institute. Results: Overall, sleep quality was found to be worse in shift workers than in daytime workers and in female than in male. Fatigue in shift female workers was significantly higher than in daytime female workers and shift male workers. In Spearman correlation analysis results, fatigue were significantly associated with gender, drink habit, regular exercise, working hours and sleep quality. With group male workers as the reference, the odds ratio(OR) for having a CFS was 2.115(β value=0.749, p<0.01), and subjective sleep quality, sleep latency, daytime dysfunction and PSQI were 1.541(β value=0.432, p<0.05), 2.297(β value=0.831, p<0.001), 1.798(β value=0.587, p<0.01) and 2.224(β value=0.799, p<0.01), respectively. Conclusions: Shift work played an important role in lowering the quality of sleep, and the effect was more pronounced in female workers than in male workers. Sleep quality was related to fatigue, especially sleep quality, sleep duration, sleep disturbances and daytime dysfunction were significantly related. Therefore, to improve fatigue and sleep quality of shift worker, it is necessary to improve healthy habits such as regular exercise, smoking cessation, and limited drinking. In particular, it is urgent to develop and implement a regular exercise program to reduce fatigue and improve the quality of sleep in workplace.
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