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REACH 물질 등록 시 분류에 영향을 주는 미량 유해 무기물질의 스크리닝·정량·해석을 위한 체계도 연구
권현아,박광서,손승환,최은경,김상헌 한국분석과학회 2019 분석과학 Vol.32 No.6
Substance identification is the first step of the REACH registration. It is essential in terms of Classification, Labelling and Packaging (CLP) regulation and because even trace amounts of impurities or additives can affect the classification. In this study, a scheme for the screening, quantification, and interpretation of trace amounts of hazardous inorganic substances is proposed to detect the presence of more than 0.1% hazardous inorganic substances that have been affecting the hazard classification. An exemplary list of hazardous inorganic substances was created from the substances of very high concern (SVHCs) in REACH. Among 201 SVHCs, there were 67 inorganic SVHCs containing at least one or ~2-3 heavy metals, such as As, Cd, Co, Cr, Pb, Sb, and Sn, in their molecular formula. The inorganic SVHCs are listed in excel format with a search function for these heavy metals so that the hazardous inorganic substances, including each heavy metal and the calculated ratio of its atomic weight to molecular weight of the hazardous inorganic substance containing it, can be searched. The case study was conducted to confirm the validity of the established scheme with zinc oxide (ZnO). In a substance that is made of ZnO, Pb was screened by XRF analysis and measured to be 0.04% (w/w) by ICP-OES analysis. After referring to the list, the presence of Pb was interpreted just as an impurity, but not as an impurity relevant for the classification. Future studies are needed to expand on this exemplary list of hazardous inorganic substances using proper regulatory data sources.
TiO2 광촉매 나노구조에 따른 광유체 미세반응기 정수 효과
권현아,김혜정 한국가시화정보학회 2022 한국가시화정보학회지 Vol.20 No.3
The shortage of available freshwater is a major global issue worldwide and an increasing demand for clean water requires efficient water purification strategies. Here we describe a method to drastically increase the efficiency of a microreactor for photocatalytic water purification. To find out how the shape of the catalyst affects water purification, nanostructured catalysts of different structures, such as dense film, nanorod, and nanohelix, are prepared and their water purification characteristics are analyzed. Compared to the flat catalyst, the nanostructured catalyst showed a distinct ability in its pollutant degradation, but the detailed structural variation does not significantly affect the water purification. To further increase efficiency, we apply a micromixer to nanorod-based microreactor, which allows even enhanced mass transfer. This enables the solution of the water purification problem and greatly contributes to the industries where the efficiency of photocatalytic activity has attracted extensive interest.
권현(Hyun Kwon),김용철(Yongchul Kim) 한국정보보호학회 2021 情報保護學會誌 Vol.31 No.2
이미지 인식, 음성 인식, 텍스트 인식 등에서 딥러닝 모델이 좋은 성능을 보여주고 있다. 하지만 이러한 딥러닝 모델은 적대적 사례에 대하여 취약점을 갖고 있다. 적대적 사례는 원본 데이터에 최적의 노이즈를 추가하여 생성되며 사람이 보기에는 문제가 없지만 딥러닝 모델에 의해서 잘못 오인식되는 데이터를 의미한다. 적대적 사례에 대한 연구는 인공지능 분야와 보안 분야에서 관심을 받고 있으며 이미지, 음성, 텍스트 등으로 다양하게 연구가 진행 되고 있다. 이 연구에서는 적대적 사례에 대한 전반적인 기술 동향에 대해서 살펴보고자 한다.