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나노임프린트를 이용한 마이크로-나노 혼합 스케일 PMMA 채널 네트워크 제작공정 개발
홍지수(Jisoo Hong),임영진(Yeongjin Lim),신흥주(Heungjoo Shin) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
In this paper, we present the fabrication of mixed-scale PMMA (polymethyl methacrylate) channels consisting of micro- and nano-channels using simple thermal nanoimprint and thermal bonding processes (microchannels: width = ~ 100 ㎛, height = ~ 8 ㎛; nanochannels: width = ~ 700 ㎚, height = ~ 150 ㎚, length = ~ 100 ㎛). In the nanoimprint process, a monolithic mixed-scale carbon structure was used as a mold. The monolithic carbon mold was fabricated using carbon-MEMS consisting of two-step photolithography processes for patterning a polymer structure and one step pyrolysis process for converting polymer to carbon. In pyrolysis, polymer structures shrank dramatically and thus micro-sized polymer structures could be converted into sub-micro-/nano-sized carbon structures. The shape of the monolithic mixed-scale carbon mold was pressed into a PMMA sheet while the polymer sheet was heated. After demolding the carbon mold from the patterned PMMA sheet, the patterned channel networks on the PMMA sheet was sealed by bonding another thin PMMA sheet to the patterned PMMA sheet with pressure and heat subsequent to an oxygen plasma treatment. The pyrolyzed carbon mold could be easily demolded because of its curved side walls resulting from anisotropic volume reduction in pyrolysis. This special geometry and good robustness of the carbon mold ensured reproducibility in nanoimprint process. PMMA has higher Young’s modulus compared to PDMS (polydimethylsiloxane) that is widely used for the nano-channel fabrication so that the PMMA channels ensure consistent channel fabrication and nanofluidic experiments without channel collapse originated problems.
1930년대 중반 소련 강제노동수용소의 변화: 백해-발트해 산업단지의 수용소 신문에 드러난 수감자관(觀)의 변화를 중심으로
홍지수 ( Jisoo Hong ) 한국서양사연구회(구 서울대학교 서양사연구회) 2016 서양사연구 Vol.0 No.55
This thesis examines the changing nature of Soviet Gulag in the mid-1930s, focusing on the White Sea-Baltic Combine, one of the earliest and best-known corrective labor camps in the Stalin era. Historians studying Gulag have pointed out that these camps, which grew rapidly during the 1930s, served as an instrument of oppression and punishment. Corrective labor camp, they claims, were repressive and corrective in nature. This widely accepted perspective, however, portrays the camps as monolithic institutions. On the contrary, camps evolved over time, particularly in the mid-1930s when they put emphasis more on labor and less on re-education. This new emphasis mirrored a greater socioeconomic change of the mid-1930s, when an impulse for industrialization swept the whole country. In the camps, the industrial impulse was evident in daily life, which demanded inmates to become agents of productivity. To illuminate this change, this thesis scrutinizes the Gulag newspapers published in during 1935 and 1936 at the White Sea-Baltic Combine. The Gulag newspapers, circulated only within the camp, illustrated inmates foremost as laborers. Articles written by inmates betrayed a perspective that highlighted the camp primarily as an economic institution striving for higher labor productivity. It also drew on resources from the Stakhanovite movement to refashion the camp as a laboratory of productivity. The Gulag newspapers often lauded the productive inmates as the Stakhanovites and reported in detail about their achievement. In this light, this thesis demonstrates the ways in which corrective labor camps evolved into a unique organization that prioritized productivity, not re-education. (Seoul National University/suhyuk18@naver.com)
메탄의 열-촉매 분해에 의한 수소 및 탄소 제조 기술 동향
홍지수 ( Jisoo Hong ),강석창 ( Seok Chang Kang ),박수열 ( Soo-youl Park ),이제욱 ( Jea Uk Lee ),임지선 ( Ji Sun Im ),전영표 ( Young-pyo Jeon ),홍진용 ( Jin-yong Hong ),이철위 ( Chul Wee Lee ) 한국공업화학회 2020 공업화학전망 Vol.23 No.4
Hydrogen is one of the sustainable clean energy sources because it produces water only as a by-product without emitting toxic gases such as carbon dioxide and nitric oxides dring combustion. Thermo-catalytic decomposition (TCD) of methane is a technology that decomposes methane at high temperatures and converts it into hydrogen and solid carbon over catalysts. Theoretically, the strong point of TCD process is that hydrogen can be produced without emitting carbon dioxide, so it is known as the most environmentally friendly process among the existing hydrogen production technologies. Recent researches have focused on the development of metal and carbon-based catalysts in order to increase the conversion of methane and on the high value added product of solid carbon for enhancing the price of hydrogen produced during TCD of mathane. In this review the research trends of metal-based heterogeneous catalysts, their activity, deactivation and regeneration techniques in the field of TCD of methane were surveyed.
생물막 생성 Staphylococcus xylosus S170 균주의 유전체 분석연구
홍지수,노은정,Hong, Jisoo,Roh, Eunjung The Microbiological Society of Korea 2018 미생물학회지 Vol.54 No.2
Staphylococcus xylosus는 일반적으로 포유동물의 피부에 존재하며 식품가공설비와 의료기기 등에서도 발견이 보고되었다. 본 연구에서는 강력한 생물막 생성 특성을 가지는 Staphylococcus xylosus S170의 전체 유전체 서열을 분석하여 보고한다. 이 유전체는 2,910,005 bp 크기, 2,674개의 단백질 코딩 서열과 22개의 rRNA, 57개의 tRNA유전자를 포함한다. 본 연구에서 제공하는 유전체 정보는 생물막 관련 유전자 분석으로 생물막 형성 기작을 좀 더 잘 이해하는데 도움이 될 수 있다. Here we report the complete genome sequence of Staphylococcus xylosus S170, strong biofilm-producing strain, which comprised a single circular 2,910,005 bp chromosome and 32.97% G + C content. The genome included 2,674 protein-coding sequences, 22 rRNA genes, and 57 tRNA genes. Gene analysis of S. xylosus S170 could contribute to better understanding of biofilm-forming mechanisms.
딥 러닝 기반 이미지 생성 모델을 활용한 객체 인식 사례 연구
강다빈(Dabin Kang),홍지수(Jisoo Hong),김재홍(Jaehong Kim),송민지(Minji Song),김동휘(Dong-hwi Kim),박상효(Sang-hyo Park) 한국방송·미디어공학회 2022 한국방송공학회 학술발표대회 논문집 Vol.2022 No.11
본 논문에서는 생성된 이미지에 대한 YOLO 모델의 객체 인식의 성능을 확인하고 사례를 연구하는 것을 목적으로 한다. 최근 영상 처리 기술이 발전함에 따라 적대적 공격의 위험성이 증가하고, 이로 인해 객체 인식의 성능이 현저히 떨어질 수 있는 문제가 발생하고 있다. 본 연구에서는 앞서 언급한 문제를 해결하기 위해 text-to-image 모델을 활용하여 기존에 존재하지 않는 새로운 이미지를 생성하고, 생성된 이미지에 대한 객체 인식을 사례 별로 연구한다. 총 8가지의 동물 카테고리로 분류한 후 객체 인식 성능을 확인한 결과 86.46%의 정확도로 바운딩 박스를 생성하였고, 동물에 대한 116개의 60.41%의 정확도를 보여주었다.