• Nuclear Engineering and Technology
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• 제52권5호
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• pp.878-888
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• 2020

This paper presents the validation of UNIST in-house Monte Carlo code MCS used for the high-fidelity simulation of commercial pressurized water reactors (PWRs). Its focus is on the accurate, spatially detailed neutronic analyses of startup physics tests for the initial core of the Watts Bar Nuclear 1 reactor, which is a vital step in evaluating core phenomena in an operating nuclear power reactor. The MCS solutions for the Consortium for Advanced Simulation of Light Water Reactors (CASL) Virtual Environment for Reactor Applications (VERA) core physics benchmark progression problems 1 to 5 were verified with KENO-VI and Serpent 2 solutions for geometries ranging from a single-pin cell to a full core. MCS was also validated by comparing with results of reactor zero-power physics tests in a full-core simulation. MCS exhibits an excellent consistency against the measured data with a bias of ±3 pcm at the initial criticality whole-core problem. Furthermore, MCS solutions for rod worth are consistent with measured data, and reasonable agreement is obtained for the isothermal temperature coefficient and soluble boron worth. This favorable comparison with measured parameters exhibited by MCS continues to broaden its validation basis. These results provide confidence in MCS's capability in high-fidelity calculations for practical PWR cores.

• 한국컴퓨터그래픽스학회논문지
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• 제16권3호
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• pp.11-19
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• 2010

본 논문에서는 가상환경에서 실세계 물체들의 사실적 시뮬레이션과 표현에 필요한 물체의 물리적 속성 정의를 위해서 물리 단위를 도입하는 방법을 설명한다. 표준화된 물리 단위 규격의 정의를 위하여 물리 단위는 SI 단위계(International System of Units)를 기본으로 하고 가상세계 데이터의 표준화된 규격을 위하여 웹3D 표준인 X3D(Extensible 3D)를 기반으로 하여 물리 단위 명세를 정의한다. 물리 단위를 X3D 규격 안에서 정의하는 과정에서 물리 단위의 적용을 받은 물체가 X3D 장면 안에서 사실적인 변화로 표현되기 위해서는 X3D 전체 스키마에 합당하게 정의되어야 한다. 실세계 물리 단위를 X3D 스키마에 확장하여 정의하고, 확장된 X3D 규격으로 구현된 브라우저에서 물리 단위를 포함하는 물체가 물리 단위 개념이 없었던 기존 X3D 물체가 어떻게 다른가를 물리 단위 예제를 이용하여 비교 분석한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2018년도 추계학술대회
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• pp.25-26
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• 2018

가상훈련은 가상현실을 기반으로 효율적으로 훈련을 수행할 수 있는 방법으로써 안전과 비용효율성을 기반으로 널리 사용되고 있다. 본 논문은 해사안전 훈련 중 구명정 정수 훈련, 밀폐 구역 훈련, 초기 화재 소화 훈련의 가상훈련으로써의 구현 및 이에 대한 유효성 평가를 제안한다. 구체적으로 각 훈련의 목표에 맞도록 가상훈련을 구현하는 방법을 논의하며 이 방식으로 구현했을 때의 피훈련자 유효성 평가 방식을 각 훈련에 맞게 제안한다. 제안된 평가 방식은 피훈련자의 훈련도 평가 및 훈련 방식의 훈련 효율도 평가, 훈련의 해사 안전 기여도에 대한 정량적 평가 지표로써 사용될 수 있다.

• Asian review of World Histories
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• 제4권1호
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• pp.125-132
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• 2016

This paper, as a conlcusion to this special issue, presents the future work that is being carried out at NTU Singapore in collaboration with Microsoft Research and Microsoft Azure for Research. For our research team the real frontier research in world histories starts when we want to use computers to structure historical information, model historical narratives, simulate theoretical large scale hypotheses, and incent world historians to use virtual assistants and/or engage them in teamwork using social media and/or seduce them with immersive spaces to provide new learning and sharing environments, in which new things can emerge and happen: "You do not know which will be the next idea. Just repeating the same things is not enough" (Carlo Rubbia, 1984 Nobel Price in Physics, at Nanyang Technological University on January 19, 2016).

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2004년도 학술발표회
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• pp.1285-1289
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• 2004

Elman Discrete Recurrent Neural Networks Model(EDRNNM) was used to be a suitable short-term hydrological forecasting tool yielding a very high degree of flood stage forecasting accuracy at Musung station of Wi-stream one of IHP representative basins in South Korea. A relative new approach method has recurrent feedback nodes and virtual small memory in the structure. EDRNNM was trained by using two algorithms, namely, LMBP and RBP The model parameters, optimal connection weights and biases, were estimated during training procedure. They were applied to evaluate model validation. Sensitivity analysis test was also performed to account for the uncertainty of input nodes information. The sensitivity analysis approach could suggest a reduction of one from five initially chosen input nodes. Because the uncertainty of input nodes information always result in uncertainty in model results, it can help to reduce the uncertainty of EDRNNM application and management in small catchment.

• 자동차안전학회지
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• 제14권1호
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• pp.20-25
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• 2022

This paper presents a development of simulation environment for validation of autonomous driving (AD) algorithm based on Robot Operating System (ROS). ROS is one of the commonly-used frameworks utilized to control autonomous vehicles. For the evaluation of AD algorithm, a 3D autonomous driving simulator has been developed based on LGSVL. Two additional sensors are implemented in the simulation vehicle. First, Lidar sensor is mounted on the ego vehicle for real-time driving environment perception. Second, GPS sensor is equipped to estimate ego vehicle's position. With the vehicle sensor configuration in the simulation, the AD algorithm can predict the local environment and determine control commands with motion planning. The simulation environment has been evaluated with lane changing and keeping scenarios. The simulation results show that the proposed 3D simulator can successfully imitate the operation of a real-world vehicle.

• 한국군사과학기술학회지
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• 제17권3호
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• pp.318-326
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• 2014

The Shipyard Test of Naval Combat System depends on external factors, such as weather conditions and availability of its sensor-weapon, due to the need of on-board sensor-weapon during the test. This paper suggests the Supportive Equipment using virtual simulator for Shipward Test, in case of the unavailability of the on-board sensor-weapon or the test support force(aircraft, surface ship etc.), to pre-check the functions of the combat system as well as to prepare the Shipyard Test. To mock the real sensor-weapon functions as similar as possible, the Supportive Equipment for Shipyard Test was verified by the Verification and Validation process, which is usually performed while developing models in the Modeling & Simulation field.

• International Journal of Naval Architecture and Ocean Engineering
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• 제6권4호
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• pp.800-812
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• 2014

The paper provides some results of a new procedure to analyze the hydrodynamic aspects of the interactions between maritime emerged breakwaters and waves by integrating CAD and CFD. The structure is modeled in the numerical domain by overlapping individual three-dimensional elements (Tetrapods), very much like the real world or physical laboratory testing. Flow of the fluid within the interstices among concrete blocks is evaluated by integrating the RANS equations. The aim is to investigate the reliability of this approach as a design tool. Therefore, for the results' validation, the numerical run-up and reflection effects on virtual breakwater were compared with some empirical formulae and some similar laboratory tests. Here are presented the results of a first simple validation procedure. The validation shows that, at present, this innovative approach can be used in the breakwater design phase for comparison between several design solutions with a significant minor cost.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.860-880
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• 2024

Breast cancer is a major health concern affecting women and men globally. Early detection and accurate classification of breast cancer are vital for effective treatment and survival of patients. This study addresses the challenge of accurately classifying breast tumors using machine learning classifiers such as MLP, AdaBoostM1, logit Boost, Bayes Net, and the J48 decision tree. The research uses a dataset available publicly on GitHub to assess the classifiers' performance and differentiate between the occurrence and non-occurrence of breast cancer. The study compares the 10-fold and 5-fold cross-validation effectiveness, showing that 10-fold cross-validation provides superior results. Also, it examines the impact of varying split percentages, with a 66% split yielding the best performance. This shows the importance of selecting appropriate validation techniques for machine learning-based breast tumor classification. The results also indicate that the J48 decision tree method is the most accurate classifier, providing valuable insights for developing predictive models for cancer diagnosis and advancing computational medical research.

• 한국시뮬레이션학회논문지
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• 제21권1호
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• pp.81-88
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• 2012

M&S 도구로서의 Battle Lab은 무기체계 획득 주기상 소요결정부터 연구개발 및 시험평가/훈련에 이르기까지 다양하게 활용 가능하다. 국내에서는 Battle Lab 구축의 중요성에도 불구하고 아직까지 초보적인 Battle Lab을 구축하고 있다. 전장 환경을모의함에 있어서 특히 Live, Virtual, Constructive 모델이 연동되는 M&S 도구의 활용도는 무기체계 개발을 위한 SE(체계공학)프로세스 전 과정에 걸쳐 적용 될 경우 시간적, 공간적 제약을 해소하고 기술적 구현이 가능하다는 점에서 반드시 필요하다. 본 연구에서는 전장 환경 모의시 모의 체계간 상호운용성을 보장하는 환경을 제공할 수 있도록 하여 그 활용도를 극대화한다.L-V 연동은 Virtual 모의기에서의 전술데이터링크 활용으로 Live 연동이 가능하도록 하는 방안과 V-C간 연동은 Virtual/Constructive 모의기에 M&S의 표준 도구인 RTI 활용 방법을 제안한다. 그리고 제안한 방법을 방공 Battle Lab으로 구축한 사례를 보인다. 방공 Battle Lab은 표적이 접근하는 경우 교전 무기체계에서 상부체계 명령을 통해 교전 모의를 수행할 수 있는 시스템으로 Constructive인 표적과 유도탄, 레이더, 발사대 모의기와 Virtual인 중앙방공통제소, 대대, 사격통제소 모의기간에 RTI RPR-FOM 1.0 연동하고, 또한 Virtual 모의기간 전술데이터링크 Link-11B, ATDL-1을 연동하여 Live 체계간의 상호운용성을 보장할 수 있음을 보인다.