• 제목/요약/키워드: Transfer Layer

검색결과 1,530건 처리시간 0.028초

Catalytic Membrane Reactor for Dehydrogenation of Water Via gas-Shift: A Review of the Activities for the Fusion Reactor Fuel Cycle

  • Tosti, Silvano;Rizzello, Claudio;Castelli, Stefano;Violante, Vittorio
    • Korean Membrane Journal
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    • 제1권1호
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    • pp.1-7
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    • 1999
  • Pd-ceramic composite membranes and catalytic membrane reactors(CMR) have been studied for hydrogen and its isotopes (deuterium and tritium) purification and recovery in the fusion reactor fuel cycle. Particularly a closed-loop process has been studied for recovering tritium from tritiated water by means of a CMR in which the water gas shift reaction takes place. The development of the techniques for coating micro-porous ceramic tubes with Pd and Pd/Ag thin layers is described : P composite membranes have been produced by electroless deposition (Pd/Ag film of 10-20 $\mu$m) and rolling of thin metal sheets (Pd and Pd/Ag membranes of 50-70 $\mu$m). Experimental results of the electroless membranes have shown a not complete hydrogen selectivity because of the presence of some defects(micro-holes) in the metallic thin layer. Conversely the rolled thin Pd and Pd/ag membranes have separated hydrogen from the other gases with a complete selectivity giving rise to a slightly larger (about a factor 1.7) mass transfer resistance with respect to the electroless membranes. Experimental tests have confirmed the good performances of the rolled membranes in terms of chemical stability over several weeks of operation. Therefore these rolled membranes and CMR are adequate for applications in the fusion reactor fuel cycle as well as in the industrial processes where high pure hydrogen is required (i.e. hydrocarbon reforming for fuel cell)

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윤활액이 담지된 나노다공성 표면의 최신 응용분야 (Recent applications of lubricant-impregnated nanoporous surface : A Review)

  • 한경완;배기창;이정훈
    • 한국표면공학회지
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    • 제56권1호
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    • pp.1-11
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    • 2023
  • Lubricant-impregnated nanoporous surfaces (LIS), which is created by impregnating water-immiscible oil into nanoporous surface structure, have been explored considering wide range of application fields. Due to the lubricant impregnated in nanoporous structure, the surface shows extreme de-wetting with a high mobility of water droplets, so that various functionalities can be realized. The lubricant layer inhibits the contact of corrosive media to porous structure as well as metal substrate, thus the surface improves the corrosion resistance. The water on the surface freeze without any contact to solid porous structure, showing a low ice adhesion for de-icing an anti-icing. The extremely high mobility of water droplets on lubricant-impregnated porous surfaces also contributes the enhancement of condensation heat transfer as well as water harvesting from fog and moisture. Moreover, the bacteria adhesion on metal surface forming biofilms causing serious hygiene issues can be inhibited on the lubricantimpregnated surfaces. Despite of such superior functionalities, the lubricant-impregnated porous surface has a limitation of lubricant depletion by external flow of fluids. Therefore, extensive efforts to improve the durability of lubricant-impregnated surface are required for practical applications.

RATO(Rocket-Assisted Take Off) 시스템 적용을 위한 하이브리드 로켓 비단공형 연료 그레인 기초 연소특성 연구 (A Study on Combustion Characteristics of Non-Circular Grain in Hybrid Rocket for RATO (Rocket-Assisted Take Off) System)

  • 김수진;고수한;김설희;김경모;이성근;한예찬;문희장
    • 한국항공운항학회지
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    • 제30권4호
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    • pp.184-190
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    • 2022
  • In an attempt to apply hybrid rocket to the RATO (Rocket-Assisted Take Off) system, combustion characteristics of the non-circular grain were figured out in this study. Having larger combustion area, it was reconfirmed that the non-circular grain has advantages over regression rate, characteristic velocity and chamber pressure in which all gave higher values. Experiments were performed to understand the effect of the non-circular grain geometry over time where local regression rates depending on grain location were analyzed. It was found that the regression rate of five distinct locations were different. Partial conclusion driven was that these differences are due to the heat transfer caused by dissimilar distances from the flame layer. Besides, as combustion duration increased, the fuel port became circular, and the regression rate converged to a single value over the whole grain.

A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture

  • Shuangbao, Ma;Renchao, Zhang;Yujie, Dong;Yuhui, Feng;Guoqin, Zhang
    • Journal of Information Processing Systems
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    • 제19권1호
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    • pp.109-117
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    • 2023
  • Defect detection is one of the key factors in fabric quality control. To improve the speed and accuracy of denim fabric defect detection, this paper proposes a defect detection algorithm based on cascading feature extraction architecture. Firstly, this paper extracts these weight parameters of the pre-trained VGG16 model on the large dataset ImageNet and uses its portability to train the defect detection classifier and the defect recognition classifier respectively. Secondly, retraining and adjusting partial weight parameters of the convolution layer were retrained and adjusted from of these two training models on the high-definition fabric defect dataset. The last step is merging these two models to get the defect detection algorithm based on cascading architecture. Then there are two comparative experiments between this improved defect detection algorithm and other feature extraction methods, such as VGG16, ResNet-50, and Xception. The results of experiments show that the defect detection accuracy of this defect detection algorithm can reach 94.3% and the speed is also increased by 1-3 percentage points.

Modeling of deposition and erosion of CRUD on fuel surfaces under sub-cooled nucleate boiling in PWR

  • Seungjin Seo;Nakkyu Chae;Samuel Park;Richard I. Foster;Sungyeol Choi
    • Nuclear Engineering and Technology
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    • 제55권7호
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    • pp.2591-2603
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    • 2023
  • Simulating the Corrosion-Related Unidentified Deposit (CRUD) on the surface of fuel assemblies is necessary to predict the axial offset anomaly and the localized corrosion induced by the CRUD during the operation of nuclear power plants. A new CRUD model was developed to predict the formation of the CRUD deposits, considering the deposition and erosion mechanisms. The heat transfer and capillary flow within the CRUD were also considered to evaluate the boiling amount within the CRUD layer. This model predicted a CRUD deposit thickness of 44 ㎛ during a one-cycle operation of the Seabrook nuclear power plant. The CRUD deposition tended to accelerate and decelerate during the simulation, by being related to boiling mechanism on the deposits surface. Additionally, during a three-cycle operation corresponding to the refueling period, the CRUD deposition was saturated at a thickness of 80 ㎛, which was in good agreement with the suggested thickness for CRUD buildupin pressurized water reactors. Surface boiling on the thin CRUD deposits enhanced the acceleration of the deposition, even when the wick boiling properties were not favorable for CRUD deposition. To ensure the certainty of the simulation results, sensitivity analyses were conducted for the porosity, chimney density, and the constants employed in the proposed model of the CRUD.

AutoEncoder 기반 역난독화 사전학습 및 전이학습을 통한 악성코드 탐지 방법론 (Malware detection methodology through on pre-training and transfer learning for AutoEncoder based deobfuscation)

  • 장재석;구본재;엄성준;한지형
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.905-907
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    • 2022
  • 악성코드를 분석하는 기존 기법인 정적분석은 빠르고 효율적으로 악성코드를 탐지할 수 있지만 난독화된 파일에 취약한 반면,, 동적분석은 난독화된 파일에 적합하지만 느리고 비용이 많이 든다는 단점을 가진다. 본 연구에서는 두 분석 기법의 단점을 해결하기 위해 딥러닝 모델을 활용한 난독화에 강한 정적분석 모델을 제안하였다. 본 연구에서 제안한 방법은 원본 코드 및 난독화된 파일을 grayscale 이미지로 변환하여 데이터셋을 구축하고 AutoEncoder 를 사전학습시켜 encoder 가 원본 파일과 난독화된 파일로부터 원본 파일의 특징을 추출할 수 있도록 한 이후, encoder 의 output 을 fully connected layer 의 입력으로 넣고 전이학습시켜 악성코드를 탐지하도록 하였다. 본 연구에서는 제안한 방법론은 난독화된 파일에서 악성코드를 탐지하는 성능을 F1 score 기준 14.17% 포인트 향상시켰고, 난독화된 파일과 원본 파일을 전체를 합친 데이터셋에서도 악성코드 탐지 성능을 F1 score 기준 7.22% 포인트 향상시켰다.

감정 인식을 위해 CNN을 사용한 최적화된 패치 특징 추출 (Optimized patch feature extraction using CNN for emotion recognition)

  • 하이더 이르판;김애라;이귀상;김수형
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 춘계학술발표대회
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    • pp.510-512
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    • 2023
  • In order to enhance a model's capability for detecting facial expressions, this research suggests a pipeline that makes use of the GradCAM component. The patching module and the pseudo-labeling module make up the pipeline. The patching component takes the original face image and divides it into four equal parts. These parts are then each input into a 2Dconvolutional layer to produce a feature vector. Each picture segment is assigned a weight token using GradCAM in the pseudo-labeling module, and this token is then merged with the feature vector using principal component analysis. A convolutional neural network based on transfer learning technique is then utilized to extract the deep features. This technique applied on a public dataset MMI and achieved a validation accuracy of 96.06% which is showing the effectiveness of our method.

Characteristic analysis and condenser design of gas helium circulation system for zero-boil-off storage tank

  • Jangdon Kim;Youngjun Choi;Keuntae Lee;Jiho Park;Dongmin Kim;Seokho Kim
    • 한국초전도ㆍ저온공학회논문지
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    • 제25권4호
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    • pp.65-69
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    • 2023
  • Hydrogen is an eco-friendly energy source and is being actively researched in various fields around the world, including mobility and aerospace. In order to effectively utilize hydrogen energy, it should be used in a liquid state with high energy storage density, but when hydrogen is stored in a liquid state, BOG (boil-off gas) is generated due to the temperature difference with the atmosphere. This should be re-condensed when considering storage efficiency and economy. In particular, large-capacity liquid hydrogen storage tank is required a gaseous helium circulation cooling system that cools by circulating cryogenic refrigerant due to the increase in heat intrusion from external air as the heat transfer area increases and the wide distribution of the gas layer inside the tank. In order to effectively apply the system, thermo-hydraulic analysis through process analysis is required. In this study, the condenser design and system characteristics of a gaseous helium circulation cooling system for BOG recondensation of a liquefied hydrogen storage tank were compared.

전해액 첨가제가 흑연 음극의 저온특성에 미치는 영향 (The Roles of Electrolyte Additives on Low-temperature Performances of Graphite Negative Electrode)

  • 박상진;류지헌;오승모
    • 전기화학회지
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    • 제15권1호
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    • pp.19-26
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    • 2012
  • 표준 전해액에 2중량%의 VC(vinylene carbonate)와 FEC(fluoroethylene carbonate)를 각각 첨가한 전해액으로부터 흑연 음극 표면에 SEI(solid electrolyte interphase) 층을 형성시키고, SEI 특성에 따른 흑연 음극의 저온($-30^{\circ}C$) 충방전 특성을 조사하였다. 흑연의 충 방전 용량은 FEC를 첨가한 전해액, 표준 전해액, 그리고 VC를 첨가한 전해액의 순서로 감소하였고, 충 방시 발생하는 과전압은 반대경향을 보이며 증가하였다. 이는 첨가제의 종류에 따라 생성된 SEI 층의 저항과 전하전달저항에 차이가 있음을 설명하는데, 이를 SEI 층의 화학 조성과 두께를 비교하여 확인하였다. 표준 전해액으로부터 생성된 SEI 층은 C-O 성분을 포함하는 고분자 형태의 화합물과 리튬 염의 환원분해로 생성된 $Li_xPF_yO_z$ 등으로 구성되었다. VC를 포함한 전해액으로부터 생성된 SEI 층은 C-O 화합물 비율이 높고 조밀하여 리튬 염의 분해가 억제되어 얇은 피막이 생성됨에도 불구하고 가장 큰 저항 값을 보였다. 반면에 FEC로부터 생성된 SEI 층은 C-O 성분의 비율이 VC를 첨가한 전해액의 경우보다는 작으면서도 리튬 염의 분해가 크지 않아서, 리튬 이온의 이동이 가장 용이한 피막을 형성하고 있어 가장 낮은 피막저항 및 전하전달 저항을 나타내었다. 결론적으로 FEC를 첨가제로 사용한 경우 생성된 SEI 층의 저항이 가장 작아서 흑연 음극의 저온특성이 가장 우수하였다.

우 수정란의 배양세포들로부터 송아지 생산을 위한 체계 (Systems for Production of Calves from Cultured Bovine Embryonic Cells)

  • 박세필;;정길생;이훈택;윤산현;임진호
    • 한국가축번식학회지
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    • 제18권4호
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    • pp.299-307
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    • 1995
  • 전능성을 지닌 우 수정란 세포배양기술 체계 확립은 가축육종에 중요한 의의를 지닌다. 이러한 체계는 1) 핵치환에 의한 다수의 클론동물 생산에 대한 기전, 2) 형질전환세포를 선발하기 위한 marker의 사용으로 효과적인 유전자 전이체계와 3) site specific 유전자 전이에 대한 기전 또는 homologous DNA서열 재조합에 의한 결손 등에 대한 기전을 이해하는데 이용될 수 있다. 우 수정란세포의 배양은 배반포 내부 세포괴, 상실배와 16∼20세포기로부터 확립하였다. 이들 모든 세포들은 생쥐 배아간 세포형태와 유사하였으며 배양시 분화와 증식에서 다능성을 나타내었다. 배양체계는 미세소적이나 배양용기, 우 도는 설치류 섬유아 세포주를 단기간 배양 또는 장기간 배양방법을 이용하였다. 유사분열시 요구되는 배양체계나 배양액 그리고 분화 억제에 대한 괄목할만한 장점은 아직 밝혀지지 않고 있다. 현재 16∼20 세포기의 배양세포의 전능성에 대해서는 알려져 있지 않다. 배양된 ICM세포 전능성은 27일간 배양한 ICM 세포로부터 4마리의 산자 생산에 의해 입증되었다.

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