• Proceedings of the Korean Environmental Health Society Conference
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• 2003.06a
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• pp.213-216
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• 2003

This study was conducted to estimate if the level of several chemical ingredients including alkanolamines or ethanolamines (EA) examined in the specific synthetic metalworking fluid (MWF) “A” can cause anti-microbial activity and health effect. Three water-based MWF products (“A”, “B”, and “C”) were studied every week for two months (from June 1, 2002 to July 30, 2002). Chemical ingredients such as formaldehyde, boron, EA, and copper were examined. In the sump where MWF “A” was used, not only the total level of EA, monoethanolamine(MEA), diethanolamine(DEA) and triethanolamine(TEA), but also boron level were significantly higher than those of the other MWFs. ANOVA statistical tests indicated that levels of pH, alkalinity, boron, MEA, DEA and TEA in MWF A were significantly higher than those in other MWF types. Correlation tests also found that levels of pH, alkalinity, boron, MEA, DEA and TEA in MWF “A” are significantly correlated. We suggested the assumptions that excessive concentrations of EA, and borate at a high pH level, may cause anti-microbial resistance synergically, To demonstrate this assumption, additional study is needed to examine the relationship between the levels of microbes and excessive concentrations of EA, and borate at a high pH level.

• Smart Media Journal
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• v.7 no.3
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• pp.9-15
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• 2018

This paper proposes an optimal gain modification method of the Multichannel Wiener filter (MWF) using speech presence probabilities. Conventional gain modification methods of MWFs have the problem of the increase of speech distortions while reducing residual noises with its relative heuristic approach. However, the proposed optimal gain modification method, derived by solving the unconstrained minimization problem of the probability-involved cost function, reduces amounts of residual noises and signal distortions simultaneously. Through an evaluation of the filtered waveforms and spectrograms, it is verified that the proposed method results in an improved SNR with less signal distortions compared to the conventional MWF.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.1
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• pp.52-60
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• 2005

This study was carried to assess the accuracy of material safety data sheets (MSDS) for some water-soluble metalworking fluid (MWF) with respect to mono- ethanolamine(MEA), di-ethanolamine(DEA) and tri-ethanolamine (TEA). 39 fresh and 52 used MWFs for this study were taken from the workplace. The quantification and qualification of MEA, DEA and TEA were done using ion-chromatography. Three main findings of this study were 1) EA that was not addressed in material safety & data sheets (MSDS) was found to be enough higher than 1%, 2) 33.3% of 39 fresh MWF showed ingredient and concentration of MEA, DEA and TEA in MSDS and 3) the concentrations of MEA(20.5%), DEA(41.3%) and TEA(15.4%) were much higher than those indicated in MSDS. Consequently, we concluded that the accuracy on ingredients and concentrations of MEA, DEA and TEA provided in MWF was very low. Our study recommends that the limit concentration of chemical except for carcinogen that employer has to indicate in MSDS should be lowered from 1% to 0.1% .

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.17 no.4
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• pp.282-288
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• 2007

그 동안 많은 역학연구를 통해서 금속가공유(metalworking fluid, MWFs) 노출과 여러 조직에서 암 발생 위험과의 관계를 밝혔지만, 금속가공유 종류(비수용성, 수용성, 합성, 준합성)별로 구분된 위험은 아직 완전하게 규명되지 않았다. 역학조사에서 금속가공유 노출을 대체할 수 있는 인자(surrogate)로서 정성적(qualitative), 명목적(ordinal) 혹은 준정량적인(semi-quantitative) 변수들(금속가공유에 대한 노출 유무, 노출 정도: 높음, 낮음 등, 직업 유무, 근무기간 등)을 이용하여 금속가공유 노출을 평가하였다. 이러한 노출평가방법은 기본적으로 금속가공유 노출 강도(intensity)가 고려되지 않을 뿐만 아니라 노출 분류 오류(misclassification)도 항상 존재할 수 있어 금속가공유 노출은 물론이고 종류별 위험을 밝히기 어렵다. 일부 역학연구에서 금속가공유 종류별 누적 노출양(cumulative exposure level)과 암위험과의 관계를 밝혔다. 이러한 연구결과들은 모두 금속가공유 종류별로 과거노출을 추정할 수 있는 자료(정량적인 노출평가자료, 과거직업력, 취급했던 금속가공유 종류 등)가 잘 기록되어 있는 1개의 대규모 자동차공장에서 나온 것들이다. 따라서 금속가공유에 대한 노출자료가 부족하고 사용특성에 대한 기록이 없거나 부족한 일반 인구나 산업을 대상으로 한 역학연구에서는 금속가공유의 종류별 위험을 밝히는것은 불가능하다. 금속가공유 종류별로 과거 노출에 대한 확률(probability)을 추정하는데 일반적으로 활용할 수 있는 노출확률 메트릭스를 개발하는 것이 필요하다.