• 한국대기환경학회지
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• 제15권3호
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• pp.235-247
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• 1999

This study was performed to investigate what was the most serious occupational factors in small scale industries. Twenty-three occupatonally hazardous substances were measured at the five workplaces in the Eastern Seoul during 1995∼1996. Total of 2,020 samples were analyzed by either GC/FID for organic vapors or AAS for heavy metals. From the results of this study noise was the most serious factor at the selected workplaces. Noise level in the metal processing, the printing, and the auto repairing industries exceeded the 8 hr PEL by 19.7%, 13.6%, and 11.6%, respectively. Mean concentrations of toluene in the shoe making and the printing industries exceeded the assessment crieterion by 6.0% and 3.8%, respectively. Further study of risk assessment of occupational exposure may be required to protect workers from hazardous working conditons.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.49.1-49.7
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• 2023

The Korean Working Conditions Survey (KWCS) is a state-approved statistical survey that has been conducted by the Occupational Safety and Health Research Institute (OSHRI) every 3 years since 2006 to monitor changes in the working conditions of Koreans. This cross-sectional national survey involves a sample of 50,000 employed people aged 15 or older. KWCS measures various working conditions through > 130 survey questions, including questions regarding working hours, labor intensity, work-life balance, degree of exposure to risk factors, and subjective health status. Professional survey interviewers visit households and conduct face to face interviews. KWCS provides data and statistics for occupational safety and health polices and research in Korea. Furthermore, OSHRI holds academic conferences every year, awards high-quality academic papers, and supports researchers using data. Microdata is publicly available through the OSHRI website (https://oshri.kosha.or.kr).

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1997년도 추계학술대회 논문집
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• pp.59-64
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• 1997

This paper investigates the relationship between cutting conditions and Acoustic Emission(AE) signals; AEavg, AErms, AEmode, as the base working to monitor the tool wear with in-process. For this purpose, cutting tests were conducted on a CNC lathe with comprehensive cutting conditions.. It is known that AEavg and AErms are proportionaly increased as the increasing of cutting velocity and depth of cut respectively. It is also known that AEmode among three kinds of AE signals may be applied for in-process monitoring to make the self diagnosis system because of its stability to the variation of cutting condition.

• 대한물리치료과학회지
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• 제1권2호
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• pp.223-234
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• 1994

To investigate the affecting factors to the fatigue and subjective symptoms of adult women, the author analyzed the data from 300 women from 3 groups, manufacture workes, clerical workers and service workers, from august 31, 1993 to the September 30, 1993. Followings are the results there from. 1. For the physical symptoms of fatigue, more than 50 % of respondens comiained were "eye strain" with 73.7 %, "malaise" with 67.0 % "went lay down side" with 60.7 %, "yawing" with 60.3 % and "feel sleep" eith 50.3 % in that order. There was no statistically significant difference between labor woker group, but the fatiger rate was highest among office group. For the mental symptoms. There was no symptom over 50 % of responders complained. For the neurotic symptoms, more than 50 % of respondents complained were "backache" with 53.7 %, "headache" with 49.7 % "shoulder pain" with 54.0 % and "unconfortable" with 43.3 %, in that order, "backache" was higest in manufacture group, but the other symptoms were highest among office group. 2. For the most fatigue weekday, most women answered monday with 56.0 % thursday with 16.3 % and friday with 12.0 % in that order, but saturday was 2.0 %, and sunday was 2.05 labor worker group answered monday was the most fatigue day. 3. 37.7 % of respondents answered afternoon was the most fatigue hours, but 22.0 % was answered evening difference among groups. 4. Nothing to do with the general characteristics, such as age, residence, sleep hours, personality, health status, and exercise, and working conditons such as means to attend office, time to attend office, job satisfaction, work hours, and work years, the mean scores of subjective symptoms of fatigue was highest among office group.