• 제목/요약/키워드: benchmark model

검색결과 715건 처리시간 0.024초

계통 운전조건에 따른 축 비틀림 전동 미소신호안정도 해석 (Analysis of Small Signal Stability for SSR on Generator Loading Condition)

  • 김동준;문영환
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
    • /
    • pp.85-87
    • /
    • 2002
  • The paper describes the formulation of state matrix equations from the linearized multi-machine power system including network dynamics and the application of IEEE First Benchmark Model. The eigenvalues of IEEE First Benchmark Model are investigated not only by changing the compensation of series capacitance at no-load conditions, but also by varying the generator loading at fixed compensation of capacitance. In addition, the pure electrical self-excited mode is also examined by an eigen analysis and time domain simulation.

  • PDF

The capture of small variations in interior noise levels using PowerFLOW

  • Cyr, Stephane;Choi, Eui-Sung;Moron, Philippe;Senthooran, Siva
    • 한국소음진동공학회:학술대회논문집
    • /
    • 한국소음진동공학회 2014년도 추계학술대회 논문집
    • /
    • pp.565-568
    • /
    • 2014
  • Hyundai Motor Company is proposing the fourth evolution of their Hyundai Simplified Model as benchmark results for the validation of CFD codes in aeroacoustics and noise transmission to the interior of a cabin. The focus of this benchmark is on variations in noise level induced by small typical geometry changes that can be found in a car development program. This article presents the noise transmission results obtained with PowerFLOW in combination with a SEA model and shows that it is possible to capture small variations in noise level with a lattice Boltzmann method based code.

  • PDF

딥러닝 기반 영상 주행기록계와 단안 깊이 추정 및 기술을 위한 벤치마크 (Benchmark for Deep Learning based Visual Odometry and Monocular Depth Estimation)

  • 최혁두
    • 로봇학회논문지
    • /
    • 제14권2호
    • /
    • pp.114-121
    • /
    • 2019
  • This paper presents a new benchmark system for visual odometry (VO) and monocular depth estimation (MDE). As deep learning has become a key technology in computer vision, many researchers are trying to apply deep learning to VO and MDE. Just a couple of years ago, they were independently studied in a supervised way, but now they are coupled and trained together in an unsupervised way. However, before designing fancy models and losses, we have to customize datasets to use them for training and testing. After training, the model has to be compared with the existing models, which is also a huge burden. The benchmark provides input dataset ready-to-use for VO and MDE research in 'tfrecords' format and output dataset that includes model checkpoints and inference results of the existing models. It also provides various tools for data formatting, training, and evaluation. In the experiments, the exsiting models were evaluated to verify their performances presented in the corresponding papers and we found that the evaluation result is inferior to the presented performances.

Iceberg-Ship Classification in SAR Images Using Convolutional Neural Network with Transfer Learning

  • 최정환
    • 인터넷정보학회논문지
    • /
    • 제19권4호
    • /
    • pp.35-44
    • /
    • 2018
  • Monitoring through Synthesis Aperture Radar (SAR) is responsible for marine safety from floating icebergs. However, there are limits to distinguishing between icebergs and ships in SAR images. Convolutional Neural Network (CNN) is used to distinguish the iceberg from the ship. The goal of this paper is to increase the accuracy of identifying icebergs from SAR images. The metrics for performance evaluation uses the log loss. The two-layer CNN model proposed in research of C.Bentes et al.[1] is used as a benchmark model and compared with the four-layer CNN model using data augmentation. Finally, the performance of the final CNN model using the VGG-16 pre-trained model is compared with the previous model. This paper shows how to improve the benchmark model and propose the final CNN model.

MARS/MASTER Solution to OECD Main Steam Line Break Benchmark Exercise III

  • Jeong, Jae-Jun;Joo, Han-Gyu;Chung, Bub-Dong;Ha, Kwi-Seok;Lee, Won-Jae;Cho, Byung-Oh;Zee, Sung-Quun
    • Nuclear Engineering and Technology
    • /
    • 제32권3호
    • /
    • pp.214-226
    • /
    • 2000
  • In an effort to assess the performance of KAERI's coupled 3D kinetics - system T/H code, MARS/MASTER, Exercise III of the OECD main steam line break benchmark is solved. The analysis model of the reference plant, TMI-1 - a 2772 MWth B&W plant, consists of three major components: a core neutronics model involving 241$\times$28 neutronic nodes, a vessel 3D T/H model consisting of 374 hydrodynamic volumes, and a 1D system T/H model containing 157 hydrodynamic volumes. The results show that there is a significant amount of flow mixing occurring in the upper and lower plenum regions and the core power distribution evolves to a highly localized shape due to the presence of a stuck rod, as well as the asymmetric flow distribution. It is judged that MARS/MASTER properly captures these drastic 3-dimensional effects. Comparisons with other results submitted to OECD confirm the accuracy of the MARS/MASTER solution.

  • PDF

Evaluation of PNL30-35 Critical Experiments on ICSBEP

  • Joo, Hyung-Kook;Kim, Young-Jin;Sohn, Dong-Seong;J. Blair Briggs
    • 한국원자력학회:학술대회논문집
    • /
    • 한국원자력학회 1997년도 춘계학술발표회논문집(1)
    • /
    • pp.39-44
    • /
    • 1997
  • The International Criticality Safety Benchmark Evaluation Project (ICSBEP) is under way for the purpose identifying, evaluating, and compiling benchmark critical experiment data into a standardized format that allows criticality analysts to easily use the data to validate calculational methods and cross sections. As part of this activity, PNL30-35 experiments, which had been adopted as benchmark problems by CSEWG in 1970s, were reevaluated, which results in some additions and modifications: changes in fuel number density, modification to the experimental keff, modifications to the soluble boron concentration for PNL-31, and addition of an uncertainty in the benchmark-model k$_{eff}$./.

  • PDF

A proposed set of popular limit-point buckling benchmark problems

  • Leahu-Aluas, Ion;Abed-Meraim, Farid
    • Structural Engineering and Mechanics
    • /
    • 제38권6호
    • /
    • pp.767-802
    • /
    • 2011
  • Developers of new finite elements or nonlinear solution techniques rely on discriminative benchmark tests drawn from the literature to assess the advantages and drawbacks of new formulations. Buckling benchmark tests provide a rigorous evaluation of finite elements applied to thin structures, and a complete and detailed set of reference results would therefore prove very useful in carrying out such evaluations. Results are usually presented in the form of load-deflection curves that developers must reconstruct by extracting the points, a procedure which is often tedious and inaccurate. Moreover the curves are usually given without accompanying information such as the calculation time or number of iterations it took for the model to converge, even though this type of data is equally important in practice. This paper presents ten different limit-point buckling benchmark tests, and provides for each one the reference load-deflection curve, all the points necessary to recreate the curve in tabulated form, analysis data such as calculation time, number of iterations and increments, and all of the inputs used to obtain these results.

Validation of UNIST Monte Carlo code MCS for criticality safety calculations with burnup credit through MOX criticality benchmark problems

  • Ta, Duy Long;Hong, Ser Gi;Lee, Deokjung
    • Nuclear Engineering and Technology
    • /
    • 제53권1호
    • /
    • pp.19-29
    • /
    • 2021
  • This paper presents the validation of the MCS code for critical safety analysis with burnup credit for the spent fuel casks. The validation process in this work considers five critical benchmark problem sets, which consist of total 80 critical experiments having MOX fuels from the International Criticality Safety Benchmark Evaluation Project (ICSBEP). The similarity analysis with the use of sensitivity and uncertainty tool TSUNAMI in SCALE was used to determine the applicable benchmark experiments corresponding to each spent fuel cask model and then the Upper Safety Limits (USLs) except for the isotopic validation were evaluated following the guidance from NUREG/CR-6698. The validation process in this work was also performed with the MCNP6 for comparison with the results using MCS calculations. The results of this work showed the consistence between MCS and MCNP6 for the MOX fueled criticality benchmarks, thus proving the reliability of the MCS calculations.

소프트웨어 개발형태 기반 개발기간 추정 연구 (A Study of Development Schedule Estimation Based on Development Type)

  • 박석규;김운용
    • 한국컴퓨터산업학회논문지
    • /
    • 제7권3호
    • /
    • pp.191-198
    • /
    • 2006
  • 소프트웨어 측정분야는 30년 이상 수많은 연구가 있어 왔으나 아직까지 구체적인 소프트웨어 개발노력, 개발기간과 비용 추정 모델이 없는 실정이다. 소프트웨어 개발기간을 추정하기 위한 기존의 모델들은 사용된 데이터 크기가 적고 과거 프로젝트들을 대상으로 하고 있어 현재의 복잡하고 다양한 개발환경에 적용하는데 제약이 따른다. 따라서, Oligny et al.은 ISBSG Benchmark Release 4의 396개 프로젝트에 대해 개발기간이 개발플랫폼에 영향을 받음을 제기하여 각 개발플랫폼에 따른 개발기간 추정 모델을 제시하였다. 본 논문은 Oligny et al. 모델들을 ISBSG Benchmark Release 6의 534개 프로젝트에 대해 적용한 결과 개발기간이 개발플랫폼에 영향을 적게 받음을 밝혔다. 따라서, 개발기간에 보다 영향을 미치는 개발형태를 채택해, 개발형태에 따른 개발기간 추정 모델을 제시하였다. 제안된 모델들은 개발 플랫폼의 영향보다 개발기간 추정에 보다 많은 영향을 미침을 밝혔으며, 개발기간 추정시 개발형태별로 추정하는 모델 적용이 보다 타당함을 알 수 있다.

  • PDF

인장 분지 형성을 구현하기 위한 상사 모델링 벤치마크 실험 및 원심모형실험의 적용성 평가 (A benchmark experiment for analogue modeling of extensional basin formation and evaluation of applicability of centrifuge test)

  • 이성복;박헌준
    • 지질학회지
    • /
    • 제54권6호
    • /
    • pp.605-614
    • /
    • 2018
  • 지질학적 현상을 연구하는 물리적 실험의 경우, 반복성 있는 현상 재현이 가능할 때 실험의 신뢰성을 증대시킬 수 있다. 본 연구에서는 인장력에 의해 발생한 정단층 구조를 대상으로 모형 토조를 이용한 벤치마크 실험을 수행하였다. 이를 위해 모형 실험의 상사성을 검토하고, 벤치마크 실험에서와 같은 방법으로 실험 재료와 인장조건, 그리고 경계조건을 설정하여 실험을 수행하였다. 또한 대형 원심모형실험시설을 이용하여 동일한 크기의 모형에서 원심중력가속도와 인장 속도를 변화시켜 인장 거동 시의 물리량에 대한 상사비를 고려하였다. 1 g 상태에서의 벤치마크 실험과 10 g 상태에서의 원심중력장에서 일정한 속도의 인장 응력을 구현하고, 지표면의 형상을 신뢰성 있게 계측하였다. 이를 통해 지각의 변형 실험 연구를 수행 시, 대형 원심모형실험의 신뢰성과 적용성을 평가하였다.