• 제목/요약/키워드: synthetic data

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새로운 합성 펩티드에 대한 펩신 작용 1. Benzyloxycarbonyl-glycyl-L-tyrosyl-L-phenylalanyl-glycine 과 그의 에틸에스테르에 대한 펩신 작용 (Pepsin Action on the New Synthetic Peptides 1. Pepsin action on benzyloxycarbonyl-glycyl-L-tyrosyl-L-phenylalanyl-glycine and its ethyl ester)

  • 윤주억;신홍대
    • 대한화학회지
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    • 제13권3호
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    • pp.233-240
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    • 1969
  • The synthesis is described of new pepsin substrates of benzyloxycarbonyl-glycyl-L-tyrosyl-L-phenylalanyl-glycine ethyl ester and benzyloxycarbonyl-glycyl-L-tyrosyl-L-phenylalanyl-glycine for studies on the specificity of pepsin, and thin layer chromatographic examination of the peptides prepared showed the new substrates are homogeneous and also, same examination of the incubation mixtures showed that two synthetic substrates are cleaved by pepsin at the L-tyrosyl-L-phenylalanyl bond and hydrolysis of these substrates by pepsin is achieved without transpeptidation. It is found that synthetic peptides are moderately soluble with the amount of the substrate up to a concentration of 0.7 mM in aqueous sodium citrate buffers (0.04 M) in the pH range 1.8-4.0, thus obviating the necessity for the adding of an organic solvent in the assay mixture. The kinetic parameters for synthetic substrates are tabulated in the following table. The data in the table indicate that the susceptibility of synthetic peptides to peptic hydrolysis are relatively large and the change of the carboxyl-terminal group of synthetic substrate from glycine ethyl ester to glycine causes a small decrease in the susceptibility of the L-tyrosyl-L-phenylalanyl bond.

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Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients

  • Jeon, Wan;An, Hyun Joon;Kim, Jung-in;Park, Jong Min;Kim, Hyoungnyoun;Shin, Kyung Hwan;Chie, Eui Kyu
    • Journal of Radiation Protection and Research
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    • 제44권4호
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    • pp.149-155
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    • 2019
  • Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

Target-to-Clutter Ratio Enhancement of Images in Through-the-Wall Radar Using a Radiation Pattern-Based Delayed-Sum Algorithm

  • Lim, Youngjoon;Nam, Sangwook
    • Journal of electromagnetic engineering and science
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    • 제14권4호
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    • pp.405-410
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    • 2014
  • In this paper, we compare the quality of images reconstructed by a conventional delayed-sum (DS) algorithm and radiation pattern-based DS algorithm. In order to evaluate the quality of images, we apply the target-to-clutter ratio (TCR), which is commonly used in synthetic aperture radar (SAR) image assessment. The radiation pattern-based DS algorithm enhances the TCR of the image by focusing the target signals and preventing contamination of the radar scene. We first consider synthetic data obtained through GprMax2D/3D, a finite-difference time-domain (FDTD) forward solver. Experimental data of a 2-GHz bandwidth stepped-frequency signal are collected using a vector network analyzer (VNA) in an anechoic chamber setup. The radiation pattern-based DS algorithm shows a 6.7-dB higher TCR compared to the conventional DS algorithm.

광택소재의 변화에 대한 연구­20세기 이후 (A Study on the transition of luster material­after 20th century­)

  • 백천의
    • 한국의상디자인학회지
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    • 제2권2호
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    • pp.137-154
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    • 2000
  • The purpose of this study is to investigate the transition of luster material after the tweentieth century. This study was conducted by means of designer collection, journal of fashion, museum data, fabric exhibition and Internet data. The results of this study were as follows: Before the synthetic fiber period, the luster materials were used satin, chamuse, gauze, damask brocade and velvet, except cashmere, mohair and rayon. They are made from silk by the way of giving difference surface property. But since 1960s, it has used not only synthetic fiber with smooth surface but also vinyl, latex, natural leather, synthetic leather and metal. Luster material recently has a tendency to natural and soft shiny, example silket finish, chintz finish, silico coating finish with paper touch feel and so forth.

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통계적 난류합성 모델을 이용한 원심홴 내부 광대역 소음 예측 (Prediction of Internal Broadband Noise of a Centrifugal Fan Using Stochastic Turbulent Synthetic Model)

  • 허승;김대환;정철웅;김태훈
    • 한국소음진동공학회논문집
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    • 제21권12호
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    • pp.1138-1145
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    • 2011
  • The internal broadband noise of a centrifugal fan in a household refrigerator is predicted using hybrid CAA techniques based on stochastic turbulent synthetic model. First, the unsteady flow field around the centrifugal fan is predicted using computational fluid dynamics(CFD) method. Then, the turbulent flow field is synthesized by applying the stochastic turbulent synthetic technique to the predicted flow field. The aerodynamic noise sources of the centrifugal fan are modeled on a basis of the synthesized turbulent field. Finally, the internal broadband noise of the centrifugal fan is predicted using the boundary element method(BEM) and the modeled sources. The predicted noise spectrum is compared with the experimental data. It is found that the predicted result closely follows the experimental data. The proposed method can be used as an effective tool for designing low-noise fans without expensive computational cost required generally for the LES and DNS simulations to resolve the turbulence flow field responsible for the broadband noise.

통계적난류합성모델을 이용한 원심홴 내부 광대역 소음 예측 (Prediction of internal broadband noise of a centrifugal fan using stochastic turbulent synthetic model)

  • 허승;김대환;정철웅;김태훈
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 추계학술대회 논문집
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    • pp.627-632
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    • 2011
  • The internal broadband noise of a centrifugal fan in a household refrigerator is predicted by using hybrid CAA technique based on stochastic turbulent synthetic model. First, the unsteady flow field around the centrifugal fan is predicted using Computational Fluid Dynamics (CFD) method. Then, the turbulent flow field is synthesized by applying the stochastic turbulent synthetic technique to the predicted flow field. The aerodynamic noise sources of the centrifugal fan are modeled on a basis of the synthesized turbulent field. Finally, the broadband noise of the centrifugal fan is predicted using Boundary Element Method (BEM) and the modeled sources. The predicted result is compared with the experimental data. It is found that the predicted result closely follows the experimental data. The proposed method can be used as an effective tool for designing low-noise fans without expensive computational cost required generally for the LES and DNS simulations to resolve the turbulence flow field responsible for the broadband noise.

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한반도 주변 해역 해수면 및 수온, 염분의 선형 추세 분석을 위한 종합 회귀 도표 개발 (Development of Synthetic Regression Diagram for Analyzing Linear Trend of Sea Surface Height, Temperature, and Salinity around the Korean Marginal Seas)

  • 임병준;장유순
    • 한국해양학회지:바다
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    • 제21권2호
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    • pp.67-77
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    • 2016
  • 본 연구에서는 한반도 주변 해역의 해수면 및 수온, 염분의 선형 추세 분석을 위한 종합 회귀 도표를 개발하였다. 현장 관측 자료는 품질 관리 과정을 거쳤으며 객관 분석 자료와의 경험적 직교 함수 비교를 통해 검증하여 사용하였다. 종합 회귀 도표를 통해 기존의 연구 결과들과 유사한 선형 회귀 값을 확인하였고, 1983년부터 2013년 기간동안에서의 5년에서 30년 단위의 변동률을 추가로 제시하였다. 본 연구에서 제시된 정량적 결과가 향후 해양 장기 추세 관련 연구의 기준 값으로 유용하게 사용될 것을 기대한다.

코히어런스 영향과 시간에 따른 실측 데이터의 합성 효과 실험 (Effectiveness Analysis on the Coherence and Time for Synthetic Aperture Sonar)

  • 강현우
    • 한국음향학회지
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    • 제25권4호
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    • pp.172-177
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    • 2006
  • 소나 시스템의 표적 탐지 성능을 향상시키기 위한 방법으로 합성 어퍼쳐 소나 (SAS : Synthetic Aperture Sonar)에 대한 연구와 실험이 이루어지고 있다. 본 논문에서는 한국 근해에서 견인 어레이를 통해 획득한 데이터를 이용하여 합성을 하는 실험을 수행하였다. 실제 상황에서 형상이 왜곡된 견인 어레이의 형상을 추정하여 왜곡을 보상해주고, 대표적인 합성 기법인 ETAM 기법과 같이 어퍼쳐 영역에서 합성을 하는 실험을 하였다. 함속이 일정하게 유지되는 구간의 데이터에 대해 실험한 결과 표적 신호의 코히어런스가 유지되는 약 1분여 동안 SNR이 높아지고 주엽 (main lobe)의 빔폭이 좁아지는 합성 효과가 나타남을 알 수 있었다. 또한 시간이 지남에 따라서도 합성 효과가 지속적으로 나타남을 확인하였다.

Prediction of concrete spall damage under blast: Neural approach with synthetic data

  • Dauji, Saha
    • Computers and Concrete
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    • 제26권6호
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    • pp.533-546
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    • 2020
  • The prediction of spall response of reinforced concrete members like columns and slabs have been attempted by earlier researchers with analytical solutions, as well as with empirical models developed from data generated from physical or numerical experiments, with different degrees of success. In this article, compared to the empirical models, more versatile and accurate models are developed based on model-free approach of artificial neural network (ANN). Synthetic data extracted from the results of numerical experiments from literature have been utilized for the purpose of training and testing of the ANN models. For two concrete members, namely, slabs and columns, different sets of ANN models were developed, each of which proved to have definite advantages over the corresponding empirical model reported in literature. In case of slabs, for all three categories of spall, the ANN model results were superior to the empirical models as evaluated by the various performance metrics, such as correlation, root mean square error, mean absolute error, maximum overestimation and maximum underestimation. The ANN models for each category of column spall could handle three variables together: namely, depth, spacing of longitudinal and transverse reinforcement, as contrasted to the empirical models that handled one variable at a time, and at the same time yielded comparable performance. The application of the ANN models for spall prediction of concrete slabs and columns developed in this study has been discussed along with their limitations.

해수침투 조사자료의 통합적 해석을 위한 GIS의 적용 (Application of Geographic Information System for Synthetic Analysis of Multidisciplinary Data in Seawater Intrusion Assessment)

  • 최선영;황세호;박권규;신제현;윤왕중
    • Spatial Information Research
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    • 제12권3호
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    • pp.275-283
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    • 2004
  • 국내 연안지역에서 광범위하게 발생하고 있는 해수침투를 정확하게 평가하고, 이에 대한 대책을 수립하기 위해서는 다양한 분야의 연구와 이들 상호간의 자료 통합과 유기적인 해석은 매우 중요하다. 현재 수리지구화학, 지구물리탐사 및 수리지질 등의 다양한 분야에서 해수침투 연구를 수행하고 있지만, 이들 자료의 공유나 체계적인 관리분야는 초보적인 수준으로 다양한 자료에 대한 검색과 관리가 어려울 뿐만 아니라, 자료를 통합하여 해석하는데 어려움이 따른다 따라서 본 연구에서 정밀조사 지역인 전남 영광군 백수읍 일대에서 획득하고 분석한 지표 및 시추공 물리탐사자료와 수리지화학자료를 데이터베이스로 구축하고, ArcView 스크립트어인 Avenue를 이용하여 데이터베이스 관리 및 시추공 3차원 가시화 인터페이스를 개발하였다. 이와 같은 지리정보시스템(GIS; Geographic Information System) 기반의 데이터베이스 구축과 사용자 인터페이스 개발로 다양한 종류의 해수침투 조사자료를 효율적으로 관리하고 통합할 수 있기 때문에 보다 정확하고 종합적인 분석이 가능할 것이다.

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