• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.29-43
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• 2005

The paper presents the EBORD (Extended Benchmark for Object-Relational Databases) benchmark, which is an extension of the BORD benchmark for object-relational databases. The EBORD benchmark is developed to evaluate the database common functions that should be supported in modern database systems. Besides the 36 test queries already defined in the BORD benchmark, totally 22 test queries in five categories are newly defined in order to measure the index-relevant performance issues and database import capabilities. The EBORD benchmark also features scalability, use of a synthesized database, and a query-oriented evaluation. In order to show the feasibility of the proposed benchmark, we implement it with two commercial database systems. The experimental results and analyses are also reported.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3639-3647
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• 2023

This paper defines a 3D full core neutronics benchmark which is based on the NuScale small modular reactor (SMR) concept. The paper provides a detailed description of the NuScale-like core, a list of expected outputs, and a reference solution to the benchmark exercises obtained with the Monte Carlo code Serpent. The benchmark was developed in the framework of the Euratom McSAFER project and can be used for verification of computational chains dedicated to 3D full-core neutronics simulations of water cooled SMRs. The paper is supplemented with a digital data set to ease the modeling process.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1996년도 추계학술발표회논문집(1)
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• pp.113-120
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• 1996

원전 일차계통 내부구조물에 심각한 손상을 유발할 수 있는 금속파편의 탐지 및 진단기술을 비교하고 공유하기 위하여 LPM(loose part monitoring) Benchmark Exercise를 수행하였다. 금속파편 충격에 대한 Benchmark Data는 미국 Catawba Unit 2에서 취득하였으며 6가지 질량의 강구를 다른 높이에서 낙하시킨 36 종류의 data set으로 구성되어 있다. 출격위치 및 강구의 질량을 추정한 결과 실제값과 잘 일치하였고 국내 분석기술의 유용성을 보였으며 외국기술과 비교할 때 동등한 수준임을 확인하였다.

• Smart Structures and Systems
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• 제17권3호
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• pp.431-444
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• 2016

This paper was written in the context of a benchmark study promoted by The Hong Kong Polytechnic University using data samples collected in an instrumented cable-stayed bridge. The main goal of the benchmark test was to study the identification of the bridge modes of vibration under different wind conditions. In this contribution, the tools developed at ViBest/FEUP for automated data processing of setups collected by dynamic monitoring systems are presented and applied to the data made available in the context of the benchmark study. The applied tools are based on parametric output only modal identification methods combined with clustering algorithms. The obtained results demonstrate that the proposed algorithms succeeded to automatically identify the modes with relevant contribution for the bridge response under different wind conditions.

• 한국컴퓨터정보학회논문지
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• 제15권8호
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• pp.1-11
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• 2010

데이터스트림 관리시스템(DSMS)의 많은 응용분야에서는 단순한 실시간 스트림 데이터의 효율적인 처리뿐만 아니라 기존의 DBMS와 결합하여 데이터마이닝이나 데이터웨어하우징 같은 고급 서비스를 사용자에게 제공하는 것을 요구하고 있다. 본 논문에서는 고급 서비스를 위하여 DSMS와 DBMS를 결합한 시스템의 성능평가를 위한 도구를 개발하였다. 기존 연구 개발된 대표적인 DSMS와 DBMS를 결합하여 네트워크 모니터링 스트림 데이터를 기반으로 통합된 시스템의 성능평가를 수행하였다. 통합된 시스템의 평가를 위하여 JAVA로 통합 시스템 성능 평가 툴을 개발하였으며, 개발 된 툴을 이용하여 DSMS(STREAM, Coral8)와 DBMS(MySQL, Oracle10g)를 결합한 시스템의 성능평가를 수행하였다

• Smart Structures and Systems
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• 제10권4_5호
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• pp.411-426
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• 2012

The Canton Tower (formerly named Guangzhou New TV Tower) of 610 m high has been instrumented with a long-term structural health monitoring (SHM) system consisting of over 700 sensors of sixteen types. Under the auspices of the Asian-Pacific Network of Centers for Research in Smart Structures Technology (ANCRiSST), an SHM benchmark problem for high-rise structures has been developed by taking the instrumented Canton Tower as a host structure. This benchmark problem aims to provide an international platform for direct comparison of various SHM-related methodologies and algorithms with the use of real-world monitoring data from a large-scale structure, and to narrow the gap that currently exists between the research and the practice of SHM. This paper first briefs the SHM system deployed on the Canton Tower, and the development of an elaborate three-dimensional (3D) full-scale finite element model (FEM) and the validation of the model using the measured modal data of the structure. In succession comes the formulation of an equivalent reduced-order FEM which is developed specifically for the benchmark study. The reduced-order FEM, which comprises 37 beam elements and a total of 185 degrees-of-freedom (DOFs), has been elaborately tuned to coincide well with the full-scale FEM in terms of both modal frequencies and mode shapes. The field measurement data (including those obtained from 20 accelerometers, one anemometer and one temperature sensor) from the Canton Tower, which are available for the benchmark study, are subsequently presented together with a description of the sensor deployment locations and the sensor specifications.

• 한국컴퓨터정보학회논문지
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• 제25권2호
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• pp.31-39
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• 2020

본 논문에서는 시계열 데이터를 기반으로 합성 벤치마크를 생성하는 기법을 소개한다. IoT 기기에서 측정되는 많은 데이터는 시간에 따른 수치 변화를 측정하는 시계열적 특성이 있다. 하지만 긴 기간 동안 측정되는 데이터를 일반화된 시계열 데이터로 모델링하기 힘든 문제점이 존재한다. 이런 문제를 개선하기 위해 본 논문에서는 BST-IGT 모델을 소개한다. BST-IGT 모델은 전체 데이터를 시계열 모델링이 쉬운 구간으로 분리하여 생성 데이터를 템플릿으로 수집하고 이를 기반으로 특성을 공유하거나 변형되는 새로운 합성 벤치마크를 생성한다. 제안된 모델링 기법을 이용하여 신규 벤치마크를 생성한 결과, 기존 데이터의 통계적 특성을 유지하는 합성 벤치마크와 다른 벤치마크와의 혼합으로 여러 특성을 가지는 벤치마크의 생성을 수행할 수 있었다.

• 한국IT서비스학회지
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• 제5권3호
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• pp.99-108
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• 2006

Public institutions are considering adoption of open-source software in the process of information projects. However, there doesn't exist reliable information about an adoption process for open-source software. Performance and stability problems of this software also persist, as a result, current open-source software is not widely used. As a software market and industry grows, Benchmark test has been performed more often than before in order to help customers understand and select the most appropriate product among myriad similar ones. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. For this research, Benchmark test was applied as a way of demonstrating performance verification of an open-source software in the public institutions. It is certain that more objective and trustful data evidence should be obtained by way of utilizing the procedures and methods of Benchmark Test in decision making process for selecting an open-source software. It also introduces a case study of a information system, which selected and implemented open-source software, in order to confirm the validity of this research. This research will serve as a guideline to adopt open-source software in governments as well as public institutions.

• Nuclear Engineering and Technology
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• 제53권8호
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• pp.2445-2453
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• 2021

Since the nuclear data forms a vital component in reactor physics computations, the nuclear community needs processing codes as tools for translating the Evaluated Nuclear Data Files (ENDF) to simulate nuclear-related problems such as an ACE format that is used for MCNP. Errors, inaccuracies or discrepancies in library processing may lead to a calculation that disagrees with the experimentally measured benchmark. This paper provides an overview of the processing and preparation of ENDF/B-VIII.0 incident neutron data with NECP-Atlas and NJOY codes for implementation in the MCNP code. The resulting libraries are statistically inter-compared and tested by conducting benchmark calculations, as the mutualcomparison is a source of strong feedback for further improvements in processing procedures. The database of the benchmark experiments is based on a selection taken from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP handbook) and those proposed by Russell D. Mosteller. In general, there is quite good agreement between the NECP-Atlas1.2 and NJOY21^(1.0.0.json) results with no substantial differences, if the correct input parameters are used.

• Smart Structures and Systems
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• 제10권4_5호
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• pp.443-458
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• 2012

The structural health monitoring (SHM) benchmark study on optimal sensor placement problem for the instrumented Canton Tower has been launched. It follows the success of the modal identification and model updating for the Canton Tower in the previous benchmark study, and focuses on the optimal placement of vibration sensors (accelerometers) in the interest of bettering the SHM system. In this paper, the sensor placement problem for the Canton Tower and the benchmark model for this study are first detailed. Then an information entropy based sensor placement method with the purpose of damage detection is proposed and applied to the benchmark problem. The procedure that will be implemented for structural damage detection using the data obtained from the optimal sensor placement strategy is introduced and the information on structural damage is specified. The information entropy based method is applied to measure the uncertainties throughout the damage detection process with the use of the obtained data. Accordingly, a multi-objective optimal problem in terms of sensor placement is formulated. The optimal solution is determined as the one that provides equally most informative data for all objectives, and thus the data obtained is most informative for structural damage detection. To validate the effectiveness of the optimally determined sensor placement, damage detection is performed on different damage scenarios of the benchmark model using the noise-free and noise-corrupted measured information, respectively. The results show that in comparison with the existing in-service sensor deployment on the structure, the optimally determined one is capable of further enhancing the capability of damage detection.