• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1741-1744
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• 2005

The electron beam machining provides very high resolution up to nanometer scale, hence the E-Beam writing technology is rapidly growing in MEMS and nano-engineering areas. For E-Beam machining, $2^{nd}$ electron detector is required to see a machined sample at the stage. The $2^{nd}$ electron detector is composed of scintillator and photomultiplier with signal amplifier and high voltage power supplier. Since a photomultiplier tube is an extremely high-sensitivity photodetector, the signal light level to be detected is very low and therefore particular care must be exercised in shielding external light. In this paper, the design methodology of $2^{nd}$ electron detector and the image noise removal method are introduced.

• Environmental Engineering Research
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• 제19권2호
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• pp.151-155
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• 2014

This study compares the effects of flow on oil and suspended solids removal efficiencies in circular enhanced gravity plate separator equipped with coalescence medium. Coalescence medium acts to capture rising oil droplets and settling solid particles and assist in the coalescence of oil and coagulation of solid. The circular separator uses an upflow center-feed perforated-pipe distributor as the inlet. The co-current flow is achieved using 4 increasing sizes of frustum, whereas cross flow uses inclined coalescence plates running along the radius of the separator. The different arrangement gave the cross flow separator a higher coalescence plan area per operational volume, minimal and constant travelling distance for the oil droplets and particles, lower retention time, and higher operational flowrate. The cross flow separator exhibited 6.04% and 13.16% higher oil and total suspended solids removal efficiencies as compared to co-current flow.

• 한국멀티미디어학회논문지
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• 제22권1호
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• pp.1-9
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• 2019

Single image rain removal is a typical inverse problem which decomposes the image into a background scene and a rain streak. Recent works have witnessed a substantial progress on the task due to the development of convolutional neural network (CNN). However, existing CNN-based approaches train the network with synthetically generated training examples. These data tend to make the network bias to the synthetic scenes. In this paper, we present an unsupervised framework for removing rain streaks from real-world rainy images. We focus on the natural phenomena that static rainy scenes capture a common background but different rain streak. From this observation, we train siamese network with the real rain image pairs, which outputs identical backgrounds from the pairs. To train our network, a real rainy dataset is constructed via web-crawling. We show that our unsupervised framework outperforms the recent CNN-based approaches, which are trained by supervised manner. Experimental results demonstrate that the effectiveness of our framework on both synthetic and real-world datasets, showing improved performance over previous approaches.

• 대기
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• 제33권5호
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• pp.549-560
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• 2023

This study evaluates three distinct observation methods, CRDS, OA-ICOS, and OF-CEAS, in greenhouse gas monitoring equipment for atmospheric CO₂ and CH₄ concentrations. The assessment encompasses fundamental performance, high-concentration measurement accuracy, calibration methods, and the impact of atmospheric humidity on measurement accuracy. Results indicate that within a range of approximately 500 ppm, all three devices demonstrate high accuracy and linearity. However, beyond 1000 ppm, CO₂ accuracy sharply declines (84%), emphasizing the need for caution when interpreting high-concentration CO₂ data. An analysis of calibration methods reveals that both CO₂ and CH₄ measurements achieve high accuracy and linearity through 1-point calibration, suggesting that multi-point calibration is not imperative for precision. In dynamic atmospheric conditions with significant CO₂ and CH₄ concentration variations, a 1-point calibration suffices for reliable data (99% accuracy). The evaluation of humidity impact demonstrates that humidity removal devices significantly reduce air moisture levels, yet this has a negligible effect on dry CO₂ concentrations (less than 0.5% relative error). All three observation method instruments, which have integrated humidity correction to calculate dry CO₂ concentrations, exhibit minor sensitivity to humidity removal devices, implying that additional removal devices may not be essential. Consequently, this study offers valuable insights for comparing data from different measurement devices and provides crucial information to consider in the operation of monitoring sites.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.247-251
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• 2005

This research was performed for developing of biological treatment process of odor gas such as MEK, $H_{2}S$, and toluene, which is generated from the food waste recycling process. To establish the operational conditions of odor gas removal by small-scale biofiltration equipment, it was continuously operated by using toluene as a treating odor object. When the odor treating microorganisms were adhered to fibril form biofilter, high removal efficiency over 93% was obtained by biofilm formation. At 400 ppm of inlet odor gas concentration and 10 sec of retention time, the removal efficiency was 76% and 93% in 1st stage reactor and 2nd stage reactor, respectively. However, the removal efficiency remained over 97% at the operational conditions above 15 sec of retention time.

• 한국표면공학회지
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• 제39권3호
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• pp.121-128
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• 2006

A set of Quartz Crystal Microbalances (QCM's) was used to observe the film removal characteristics of three different $CO_2-nitric$ acid microemulsions. QCM's electroplated with nickel or copper were used as specimens. F-AOT, NP-4 and the newly synthesized Proline Surfactant-1 were used as surfactants to create microemulsions. While the F-AOT microemulsion yielded a relatively low removal rate, that of the Proline Surfactant-1 completely removed the Cu metal film within a short period of time. The NP-4 microemulsion removed the metal surface. However, removal rate measurements per QCM were not possible due to the instability of the microemulsion when Cu ions were present in the nitric solution. The reaction kinetics and metal removal capabilities of microemulsions formed by the different surfactants are explained along with the characteristics of reverse micelles.

• 분석과학
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• 제21권3호
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• pp.167-173
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• 2008

PCB (poly chlorinated biphenyl)의 재생성문제를 해결하기 위해 PCB가 재생성되지 않는 $220^{\circ}C$ 이내의 온도에서 PCB를 90% 이상 효과적으로 분해할 수 있는 저온활성이 우수한 촉매에 대해 연구 하였다. 기존의 백필터에 저온활성이 우수한 PCB 제거용 촉매를 코팅하여 분진 및 PCB를 동시에 제거 가능한 백필터 여과재를 얻고자 하였다. 촉매 반응 후 벤젠고리가 분해되어 PCB가 재생성될 수 없음을 확인하였다. 그리고 spray법에 의한 촉매코팅이 함침법에 의한 코팅보다 효과적이었으며, Pt-Co 촉매를 사용하였을 때가 PCB 제거율이 가장 높았다. 본 연구를 잘 활용한다면 기존의 소각로에서 사용되던 기존 백필터를 촉매 여과재로 교체만 하여도 분진과 PCB를 동시에 효율적으로 제거할 수 있을 것으로 판단된다.

• 한국산학기술학회논문지
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• 제21권4호
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• pp.588-595
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• 2020

반도체 산업용 9N 이상의 초고순도 N₂, Ar 등 불활성 가스 제조를 위해 가스 정제공정에 사용되고 있는 Ni 촉매의 물성 평가 및 촉매적 특성을 확인하였다. 조성이 다른 원기둥 형태의 C1, 츄러스 형태의 C2의 두 가지 Ni 촉매에 대해 비교 평가를 진행하였다. Ni 촉매의 형상과 미세구조를 분석하기 위해 광학현미경과 FE-SEM을 이용하였으며, 조성 확인 및 물성을 분석하기 위해 EDS, XRD, 그리고 micro-Raman 분석을 이용하였다. 또한 Ni 촉매의 비표면적 및 촉매적 특성을 확인하기 위해 BET, Pulse Titration 분석을 진행하였다. 조성 분석결과, C1의 경우, 상대적으로 graphite가 불순물로 다량 포함되어 있는 것을 확인하였으며, C2는 C1에 비해 Ni의 함량이 높은 것을 확인하였다. 비표면적 분석 결과, C2의 비표면적이 C1보다 약 1.69배 정도 큰 것을 확인할 수 있었다. 촉매적 특성분석 결과, 상온에서 O₂와 CO 불순물 제거 정도가 C2가 우수함을 확인하였다. 따라서 반도체 산업용 초고순도 불활성 기체 제조를 위한 Ni 촉매로는 불순물이 적고, 비표면적이 크며, 상온에서 O₂와 CO 제거 성능이 우수한 C2가 적합함을 확인하였다.

• 한국분말재료학회지
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• 제10권1호
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• pp.6-14
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• 2003

The purpose of the present study is to investigate the method decreasing debinding time as well as lowering operation condition than pure supercritical $CO_2$ debinding by using cosolvent or binary mixture of propane + $CO_2$. First method is to add cosolvent, such as n-hexane, DCM, methanol, 1-butanol, in supercritical $CO_2$. In case of adding cosolvent, we were found the addition of non-polar cosolvent (n-hexane) improves dramatically the binder removal rate (more than 2 times) compared with pure supercritical $CO_2$ debinding, second method is to use mixture of supercritical propane + $CO_2$, as solvent. In case of using mixture of supercritical propane + $CO_2$, the rate of debinding speeded up with increasing of pressure and concentration of propane at 348.15 K. It was found that addition of cosolvent (e.g., n-hexane, DCM) and binary mixture propane + $CO_2$ for supercritical solvent remarkably improved binder removal rate for the paraffin wax-based binder system, in comparison with using pure supercritical $CO_2$.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.2116-2121
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• 2008

Removal of particles at rich $CO_2$ condition has been important in the gas cleaning for $CO_2$ capture in Oxy-fuel combustion. Electrostatic precipitators (ESPs) have been widely used to remove particles in exhaust gases from present air combustion. However, few studies on characteristics of ESPs under a $CO_2$ rich gas condition have been conducted. In this study, we investigated integration of electrostatic precipitators (ESP) for removing submicron particles along with corona discharge characteristics and collection efficiency of submicron particles at $CO_2$ rich condition. The overall performance of ESP is represented by collection efficiency as function of energy consumption. The experiment results showed that higher the concentration of $CO_2$ gas, the corona discharge currents were lower at the same applied voltages and the spark over occurred at lower voltages, and the collection efficiency of submicron particles under 50, 80% $CO_2$ conditions was much lower than that under 100% Air.