• 제목/요약/키워드: V-mask

검색결과 181건 처리시간 0.026초

변형 DEEP X-ray를 이용한 마이크로 렌즈 및 V-groove 제작 (Microlens Micro V-groove Fabrication by the Modified LIGA Process)

  • 이정아;이승섭;전병희
    • 소성∙가공
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    • 제13권3호
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    • pp.290-295
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    • 2004
  • Mircolens and microlens V-groove are realized using a novel fabrication technology based on the exposure of a resist, usually PMMA, to deep X-rays and subsequent thermal treatment and inclined deep X-ray lithography, respectively. The fabrication technology is very simple and produces microlenses and microlens V-groove with good surface roughness of several nm. The molecular weight and glass transition temperature of PMMA is reduced when it is irradiated with deep X-rays. The microlenses were produced through the effects of volume change, surface tension, and reflow during thermal treatment of irradiated PMMA. Microlenses were produced with diameters ranging from 30 to $1500\mu\textrm{m}$. The surface X-ray mask is also fabricated to realize microlens arrays on PMMA sheet with a large area. The size of the micro V-groove is fabricated in the range of 12~$60\mu\textrm{m}$.

6.6kV 200A 초전도 한류기용 초전도소자 설계 (Design of Superconducting Elements for the 6.6kV 200A Superconducting Fault Current Limiter)

  • 강종성;이방욱;박권배;오일성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.518-520
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    • 2004
  • In these days, there is a demand to develop fault current limiters(FCLs) to reduce excessive fault current and protect electrical equipments which are installed in the transmission and distribution power systems. We considered the resistive superconducting FCLs among the various kinds of FCLs. In this study, in order to develop the resistive superconducting FCL of 6.6kV 200A $3\phi$, we designed the new mask pattern for etching YBCO films by means of numerical analysis method, current limiting experiments and visualization of bubbles in films and investigated dielectric performance of the designed mask by using elecrtostatic numerical analysis method and breakdown experiments. We etched YBCO films by using the newly designed mask, connected the etched films in series and in parallel, and designed the 6.6kV resistive SFCL and then we observed the current limiting characteristics of the SFCL.

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The study of shape of electrodes and I-V characteristics for Ultraviolet LED

  • Trung, Nguyen Huu;Dang, Vu The;Hieu, Nguyen Van
    • 전기전자학회논문지
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    • 제17권3호
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    • pp.221-228
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    • 2013
  • About functional parameters of a LED/UVLED (Light Emitting Diode/Ultra Violet LED), one of the most important parameters is the I-V characteristic. By researching factors affect to the I-V characteristic of uvled, we found that beside of the structure of the device itself, there is the influence of the electrode materials, electrode shapes, the process of wiring and packaging. In this work, we want to improve the performance of UVLED to find out the optimal mask design principles. The study is based on theoretical mathematical models, as well as the use of simulation software tool Comsol. From all results obtained, the team has improved mask design to manufacture electrodes for GaN-based UVLED. Electrode masks are designed by three softwares, which are Intellisuite, Klayout and AutoCad. Intellisuite masks would be used in fabrication simulation while Klayout and AutoCad are used to fabricate electrodes in experiments. As well as, we silmulated the structure of an uvled 355nm emission wavelength by TCAD software, in order to compare with uvled sample that has the same emission wavelength.

뷰티관심도가 마스크팩 사용만족도 및 재구매 의도에 미치는 영향 (The effect of beauty interest on mask pack satisfaction and repurchase intention)

  • 김정민;김은숙
    • 한국융합학회논문지
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    • 제10권8호
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    • pp.291-298
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    • 2019
  • 본 연구의 목적은 뷰티관심도가 마스크팩 사용 만족도 및 재구매에 미치는 영향을 분석하는 것에 있다. 본 연구는 마스크팩을 사용해본 소비자를 대상으로 설문지 305부의 자료를 SPSS. v21 통계 패키지 프로그램을 활용하여 분석하였다. 분석결과 뷰티 관심도 하위요인은 마스크팩 사용만족도 하위요인에 통계적으로 유의미한 정(+)의 영향을 미치는 것으로 나타났고, 마스크팩 사용만족도 하위요인은 재구매 의도에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 본 연구의 결과 소비자의 뷰티 관심도가 높을수록 마스크팩 사용만족도가 중요하며 그에 따라 재구매 의도가 높아지는 것으로 나타남을 알 수 있었다. 본 연구를 통해 향후 마스크팩 판매기업이 소비자들의 니즈를 파악하고 마케팅 요소로 활용한다면 성공적인 마케팅 효과를 기대할 수 있을 것이다.

한.중.일 전통극 복식의 소외효과(V-Effekt) 연구 (Verfremdung Effekt(V-Effekt) in Korean, Chinese, and Japanese Traditional Play Costumes - Focusing on masked drama, Beijing opera, and Kabuki -)

  • 이미숙;양유미
    • 복식
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    • 제60권1호
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    • pp.14-27
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    • 2010
  • The purpose of this study is to analyze how the aesthetic characteristics of Brecht's V-Effekt is visually expressed of the costume in the Traditional Play of Korea, China and Japan. The method and the contents of the study were to refer to the antecedent studies and the related documents to peruse the characteristics of the traditional plays of the East and West, the origin and the concept of Brecht's Verfremdung and considered the relation of Brecht's V-Effekt and the Oriental plays, and then the researcher derived the aesthetic properties of Brecht's V-Effekt. This study analyzed how those qualities of the aesthetic characteristics on the V-Effekt are manifested on the stage costumes of Korean mask, Beijing opera and Kabuki. The aesthetic qualities of Brecht's V-Effekt are classified into symbolism, grotesque disposition, character of sing and dance, comicality. The symbolism in the traditional play costumes of the three nations is shown in the colors of the masks in Korean and the tone of the colors on the costumes and the make-up in Beijing opera and Kabuki. While the properties of bizarrerie and deformation coexist in masque and Beijing opera costumes in terms of grotesque disposition, Kabuki strongly displays bizarre grotesquerie. The character of sing and dance is visually expressed through the transformation of sleeves on the three nation's traditional play costumes; Masque on the Hansam and Chengsam, Beijing opera on the Water sleeves and Kabuki on Hurisode. The comic aspection is expressed in a humorous and comical way through the distortion and transformation of forms in Masque and Beijing opera but it cannot be seen in Kabuki costume. The study as above will form the aesthetic properties of the Oriental traditional play costumes and also it will contribute to establishing the identity of Korean mask costumes.

BERT Mask-Filling과 단백질-단백질 상호작용 모델을 이용한 SARS-CoV-2 변이 예측 알고리즘 (SARS-CoV-2 Variant Prediction Algorithm Using the Protein-Protein Interaction Model with BERT Mask-Filling)

  • 공현승
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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    • pp.283-284
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    • 2021
  • 최근 SARS-CoV-2 백신들의 예방접종이 진행됨에 따라 코로나 19 팬데믹의 종결이 예상되고 있다. 하지만 계속해서 출현 중인 변종 바이러스들은 팬데믹 종결의 위험요소로 남아있다. 본 논문에서는 사전학습된 단백질 BERT와 단백질-단백질 상호작용 모델을 활용한 SARS-CoV-2 스파이크 단백질의 변이 예측 분석 알고리즘을 제안한다. 제안하는 기술은 변이 단백질 서열의 예측과 변이 단백질과 human ACE2 수용체의 친화도에 따른 자연선택으로 이루어진다. 이를 통해 시간이 지나며 나타날 수 있는 변종 바이러스들을 시뮬레이션 할 수 있어 변종 바이러스들의 해결에 기여할 것으로 기대된다.

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TFT-LCDs 게이트 전극에 적용한 Cu(Mg) 합금 박막의 건식식각 (A Dry-patterned Cu(Mg) Alloy Film as a Gate Electrode in a Thin Film Transistor Liquid Crystal Displays (TFT- LCDs))

  • 양희정;이재갑
    • 한국재료학회지
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    • 제14권1호
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    • pp.46-51
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    • 2004
  • The annealing of a Cu(4.5at.% Mg)/$SiO_2$/Si structure in ambient $O_2$, at 10 mTorr, and $300-500^{\circ}C$, allows for the outdiffusion of the Mg to the Cu surface, forming a thin MgO (15 nm) layer on the surface. The surface MgO layer was patterned, and successfully served as a hard mask, for the subsequent dry etching of the underlying Mg-depleted Cu films using an $O_2$ plasma and hexafluoroacetylacetone [H(hfac)] chemistry. The resultant MgO/Cu structure, with a taper slope of about $30^{\circ}C$ shows the feasibility of the dry etching of Cu(Mg) alloy films using a surface MgO mask scheme. A dry-etched Cu(4.5at.% Mg) gate a-Si:H TFT has a field effect mobility of 0.86 $\textrm{cm}^2$/Vs, a subthreshold swing of 1.08 V/dec, and a threshold voltage of 5.7 V. A novel process for the dry etching of Cu(Mg) alloy films, which eliminates the use of a hard mask, such as Ti, and results in a reduction in the process steps is reported for the first time in this work.

Impact of aperture-thickness on the real-time imaging characteristics of coded-aperture gamma cameras

  • Park, Seoryeong;Boo, Jiwhan;Hammig, Mark;Jeong, Manhee
    • Nuclear Engineering and Technology
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    • 제53권4호
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    • pp.1266-1276
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    • 2021
  • The mask parameters of a coded aperture are critical design features when optimizing the performance of a gamma-ray camera. In this paper, experiments and Monte Carlo simulations were performed to derive the minimum detectable activity (MDA) when one seeks a real-time imaging capability. First, the impact of the thickness of the modified uniformly redundant array (MURA) mask on the image quality is quantified, and the imaging of point, line, and surface radiation sources is demonstrated using both cross-correlation (CC) and maximum likelihood expectation maximization (MLEM) methods. Second, the minimum detectable activity is also derived for real-time imaging by altering the factors used in the image quality assessment, consisting of the peak-to-noise ratio (PSNR), the normalized mean square error (NMSE), the spatial resolution (full width at half maximum; FWHM), and the structural similarity (SSIM), all evaluated as a function of energy and mask thickness. Sufficiently sharp images were reconstructed when the mask thickness was approximately 2 cm for a source energy between 30 keV and 1.5 MeV and the minimum detectable activity for real-time imaging was 23.7 MBq at 1 m distance for a 1 s collection time.

Systematic Literature Review on Coronavirus Infectious Disease-19 and Dental Masks

  • Kim, Ji-Hyun;Kim, Min-Young
    • 치위생과학회지
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    • 제21권1호
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    • pp.1-7
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    • 2021
  • Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is transmitted primarily through droplets, and dental practitioners are at risk of occupational exposure to SARS-CoV-2 infection owing to direct contact with the patient's mouth, aerosols from dental procedures, and saliva. Wearing a mask is believed to be the best method of protection against infection, and a systematic literature review was conducted on whether the dental masks used in dentistry are effective in preventing Coronavirus Infectious Disease-19 (COVID-19). Methods: We used PubMed, Google Scholar, DBpia, NDSL, and KISS databases for this study. Of the 917 documents narrowed down by the search terms "Coronavirus, COVID-19, and dental," 83 documents were collected and studied. Ultimately, 42 of these papers were selected for analysis after considering duplication from the flow chart of the literature selection process. Results: While dental masks are often used when treating patients with unknown COVID-19 status, the Ministry of Food and Drug Safety stated that the use of dental masks is insufficient in preventing cross-transmission of COVID-19; instead, it was recommended that N95 masks, which correspond to KF94 masks, should be worn daily. On the other hand, wearing a dental mask and following precautions such as hand hygiene may not pose a significantly higher risk of infection than wearing an N95 mask when treating COVID-19 patients. Conclusion: There is an ongoing discussion regarding the use of dental masks when treating dental patients, and many argue that different types of masks should be selected according to the degree of infection and the individual's respiratory condition. By considering the safety and efficacy of dental masks in preventing infection, improvements can be made in the management of COVID-19 and dental-related infections.

Deep Convolutional Neural Network(DCNN)을 이용한 계층적 농작물의 종류와 질병 분류 기법 (A Hierarchical Deep Convolutional Neural Network for Crop Species and Diseases Classification)

  • ;나형철;류관희
    • 한국멀티미디어학회논문지
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    • 제25권11호
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    • pp.1653-1671
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    • 2022
  • Crop diseases affect crop production, more than 30 billion USD globally. We proposed a classification study of crop species and diseases using deep learning algorithms for corn, cucumber, pepper, and strawberry. Our study has three steps of species classification, disease detection, and disease classification, which is noteworthy for using captured images without additional processes. We designed deep learning approach of deep learning convolutional neural networks based on Mask R-CNN model to classify crop species. Inception and Resnet models were presented for disease detection and classification sequentially. For classification, we trained Mask R-CNN network and achieved loss value of 0.72 for crop species classification and segmentation. For disease detection, InceptionV3 and ResNet101-V2 models were trained for nodes of crop species on 1,500 images of normal and diseased labels, resulting in the accuracies of 0.984, 0.969, 0.956, and 0.962 for corn, cucumber, pepper, and strawberry by InceptionV3 model with higher accuracy and AUC. For disease classification, InceptionV3 and ResNet 101-V2 models were trained for nodes of crop species on 1,500 images of diseased label, resulting in the accuracies of 0.995 and 0.992 for corn and cucumber by ResNet101 with higher accuracy and AUC whereas 0.940 and 0.988 for pepper and strawberry by Inception.