• 제목/요약/키워드: Field data

검색결과 16,136건 처리시간 0.039초

빅데이터 처리 플랫폼에서 학술 데이터를 사용한 전문가 검색 시스템 설계 및 구현 (Design and Implementation of an Expert Search System Using Academic Data in Big Data Processing Platforms)

  • 최도진;김민수;김대윤;이서희;한진수;서인덕;임종태;복경수;유재수
    • 한국콘텐츠학회논문지
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    • 제17권3호
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    • pp.100-114
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    • 2017
  • 대부분의 연구자들은 새로운 분야의 연구를 수행하기 위해 전문가에게 자문을 받거나 전문가의 논문들을 기반으로 연구 방향을 설정한다. 기존의 학술 검색 서비스에서는 분야별 논문 정보는 제공하지만 각 분야의 전문가를 제공해주지 않기 때문에 사용자들이 검색된 논문을 기반으로 전문가를 직접 판단해야 한다. 본 논문에서는 학회에 발간된 논문 정보를 기반으로 빅 데이터 처리를 이용한 학문 분야별 전문가검색 시스템을 설계하고 구현한다. 제안하는 시스템은 대량의 논문을 저장하고 관리하기 위해 빅 데이터분산 저장 기술을 활용하였다. 또한 빅 데이터 분산 처리기술을 활용하여 전문가를 판별하고 전문가와 연관 되는 정보를 분석한다. 분산처리 된 결과는 사용자가 전문가 검색 요청 시 웹페이지를 통해 보여준다. 사용자는 제안하는 시스템을 통해 해당 연구 분야의 전문가를 추천받음으로써 연구를 수행함에 있어 많은 도움을 받을 수 있다.

초탄성 복합재의 평균장 균질화 데이터 기반 멀티스케일 해석 (A Data-driven Multiscale Analysis for Hyperelastic Composite Materials Based on the Mean-field Homogenization Method)

  • 김수한;이원주;신현성
    • Composites Research
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    • 제36권5호
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    • pp.329-334
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    • 2023
  • 기존의 멀티스케일 유한요소법(Multiscale finite element, FE2 )은 거시 스케일의 모든 적분점에서 대표 체적요소(representative volume element, RVE)의 미시 경계치 문제를 반복적으로 계산하기 때문에 긴 해석 시간과 많은 데이터 저장 공간을 필요로 한다. 이를 해결하기 위해 본 연구에서 평균장 균질화 데이터 기반 멀티스케일 해석 기법을 개발하였다. 데이터 기반 전산역학(data-driven computational mechanics, DDCM) 해석은 변형률-응력 데이터 셋을 직접적으로 사용하는 모델-프리(model-free)접근 방식이다. 멀티스케일 해석을 수행하기 위해, 평균장 균질화(mean-field homogenization)를 활용하여 복합재의 미세구조에 대한 변형률-응력 데이터베이스(database)를 효율적으로 구축하고, 이를 기반으로 데이터 기반 전산역학 시뮬레이션을 수행하였다. 본 논문에서는 개발한 멀티 스케일 해석 프레임워크(framework)를 예제에 적용하여, 초탄성(hyperelasticity) 복합재의 미세 구조를 고려한 데이터 기반 전산역학 시뮬레이션 결과를 확인하였다. 따라서, 데이터 기반 전산역학 접근 방식을 활용한 멀티스케일 해석기법은 다양한 재료 및 구조에 적용될 수 있으며, 멀티스케일 해석 연구 및 응용 가능성을 열어줄 것으로 기대된다.

Determination of Sample Sizes for Plant Characteristics of Food Crops

  • Chang, Suk-Hwan
    • Journal of the Korean Data and Information Science Society
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    • 제9권1호
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    • pp.57-62
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    • 1998
  • The minimum number of samples for the measurement of plant characteristics of major crops were calculated from the data obtained from the field experiments on rice, barley, wheat, soybean and sweet potato conducted by Kyungpuk Rural Development Administration.

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A hybrid numerical simulation method for typhoon wind field over complex terrain

  • Huang, Wenfeng;Zhou, Huanlin
    • Wind and Structures
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    • 제18권5호
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    • pp.549-566
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    • 2014
  • In spite of progress in the numerical simulation of typhoon wind field in atmospheric boundary layer (ABL), using typhoon wind field model in conjunction with Monte Carlo simulation method can only accurately evaluate typhoon wind field over a general terrain. This method is not enough for a reliable evaluation of typhoon wind field over the actual complex terrain with surface roughness and topography variations. To predict typhoon wind field over the actual complex terrain in ABL, a hybrid numerical simulation method combined typhoon simulation used the typhoon wind field model proposed by Meng et al. (1995) and CFD simulation in which the Reynolds averaged Navier-Stokes (RANS) equations and k-${\varepsilon}$ turbulence model are used. Typhoon wind filed during typhoon Dujuan and Imbudo are simulated using the hybrid numerical simulation method, and compared with the results predicted by the typhoon wind field model and the wind field measurement data collected by Fugro Geotechnical Services (FGS) in Hong Kong at the bridge site from the field monitoring system of wind turbulence parameters (FMS-WTP) to validate the feasibility and accuracy of the hybrid numerical simulation method. The comparison demonstrates that the hybrid numerical simulation method gives more accurate prediction to typhoon wind speed and direction, because the effect of topography is taken into account in the hybrid numerical simulation method.

부분적인 경사자계를 이용한 고속 자기공명 영상촬영기법 (Fast MR Imaging Technique by Using Locally-Linear Gradient Field)

  • 양윤정;이종권
    • 대한의용생체공학회:의공학회지
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    • 제17권1호
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    • pp.93-98
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    • 1996
  • The purpose of this paper is to propose a new localized imaging method of reduced imaging time luting a locally-linear gradient. Since most fast MR(Magnetic Resonance) imaging methods need the whole $\kappa$-space(Spatial frequency space) data corresponding to the whole imaging area, there are limitstions in reducing the minimum imaging time. The imaging method proposed in this paper uses a specially-made gradient coil generating a local ramp-shape field and uniform field outside of the imaging areal Conventional imaging sequences can be used without any RF/gradient pulse sequence modifiestions except the change in the number of encoding steps and the field of view.

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근접장 이진 홀로그램의 다중화, 다층화 및 병렬 저장 (Multiplexed, Stack-Wise, and Parallel Recording of Near-Field Binary Holograms)

  • 김경염;강진구;이병호
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제51권8호
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    • pp.382-389
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    • 2002
  • We present experimental results on the multiplexed and stack-wise recording of near-field holograms. Experiments on angular multiplexing show that the angular selectivity of near-field hologram is better than that of the conventional hologram. Experiments on stack-wise recording prove that near-fields originated from sub-diffraction-limit-size objects could be stored in a photorefractive crystal at 2mm apart from the crystal surface. In addition, to improve the data access and transfer time, a silicon nano-aperture array was introduced and applied to the recording of near-field holograms.

효과적 데이터처리를 위한 필드버스의 온라인 토큰제어 (On-line token control of fieldbus for effective data service)

  • 이석원;남부희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.680-683
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    • 1997
  • Fieldbus system should be designed by considering the number of sensors/actors(actuators+ controllers) and their sampling times. But the number of sensors/actors and which are connected to the network bus can be varied by addition and/or fault of the field devices. That variation decreases the efficiency of system which is off-line designed optimally. This paper proposes an algorithm that ensures transmission of cyclic data even though there is the number change in the field devices. We assign the different weight values to cyclic data and acyclic data. By simulation and experiment, the cyclic and acyclic data are processed via the proposed network, and the results are compared with those of the Profibus system. It is shown that the proposed algorithm is more robust with the uncertainties of the field devices of the control system.

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다중채널 해양탄성파탐사 시스템개발과 응용 (Development of Multichannel Marine Seismic Data Acquisition System and its Application)

  • 신성렬;김찬수;여은민;김영준
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2005년도 후기학술대회논문집
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    • pp.144-145
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    • 2005
  • In this study, we have developed the high resolution multichannel seismic data acquisition system and shallow marine seismic source. It is easy to operate our source system which utilizes piezoelectric transducer of high electrical power. According to water depth, survey condition and purpose, transducer number of source system can be easily changed in order to maximize field applicability. In the recording part, we used 24 bits and 8 channel high speed A/D board in order to achieve the improvement of data quality and the efficiency of data acquisition. The developed system was tested and varied with the data acquisition parameters such as source-receiver offset, and transducer number versus water depth for the field application.

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RS와 GIS-AGNPS 모형을 이용한 소유역에서의 비점원오염부하량 추정 (Estimating Pollutant Loading Using Remote Sensing and GIS-AGNPS model)

  • 강문성;박승우;전종안
    • 한국농공학회지
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    • 제45권1호
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    • pp.102-114
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    • 2003
  • The objectives of the paper are to evaluate cell based pollutant loadings for different storm events, to monitor the hydrology and water quality of the Baran HP#6 watershed, and to validate AGNPS with the field data. Simplification was made to AGNPS in estimating storm erosivity factors from a triangular rainfall distribution. GIS-AGNPS interface model consists of three subsystems; the input data processor based on a geographic information system. the models. and the post processor Land use patten at the tested watershed was classified from the Landsat TM data using the artificial neural network model that adopts an error back propagation algorithm. AGNPS model parameters were obtained from the GIS databases, and additional parameters calibrated with field data. It was then tested with ungauged conditions. The simulated runoff was reasonably in good agreement as compared with the observed data. And simulated water quality parameters appear to be reasonably comparable to the field data.

Review on statistical methods for large spatial Gaussian data

  • Park, Jincheol
    • Journal of the Korean Data and Information Science Society
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    • 제26권2호
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    • pp.495-504
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    • 2015
  • The Gaussian geostatistical model has been widely used for modeling spatial data. However, this model suffers from a severe difficulty in computation because inference requires to invert a large covariance matrix in evaluating log-likelihood. In addressing this computational challenge, three strategies have been employed: likelihood approximation, lower dimensional space approximation, and Markov random field approximation. In this paper, we reviewed statistical approaches attacking the computational challenge. As an illustration, we also applied integrated nested Laplace approximation (INLA) technology, one of Markov approximation approach, to real data to provide an example of its use in practice dealing with large spatial data.