• Title/Summary/Keyword: Statistical simulation

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A Statistical Expert System for Simulation Analysis-Revised (시뮬레이션의 통계적 분석을 위한 전문가 시스템)

  • Park, Young-Hong
    • IE interfaces
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    • v.7 no.1
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    • pp.81-91
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    • 1994
  • Simulation is one of the most widely used techniques in operations research and management science, but there are several impediments to even wider acceptance and use of simulation. One of the more significant limitations is the dependence of simulation on statistical methodology. This research identifies eighteen different statistical issues in simulation methodology and develops an expert system which could through interactive dialog with simulation analysts offer advice on statistical approaches which might be used to deal with particular issues and to accomplish required statistical computations. This research revises the previous study published in Simulation by incorporating additional statistical issues in the expert system to enhance its performance in analyzing a given simulation problem with statistical methodologies. An overview of the revised system is given and illustrations of the capabilities of the system are presented.

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Review on the Application of Statistical Methods to Maritime Traffic Safety Assessment

  • Gong, In-Young
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.35-40
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    • 2006
  • For the maritime traffic safety assessment of vessels navigating in harbor or fairway, simulation techniques by using shiphandling simulator system have been traditionally used. When designing the simulation experiments and when analyzing the simulation results, however, there has been a little systematic method. Ship-handling simulations can be regarded as a kind of statistical experiment by using ship-handling simulator system, which means that shiphandling simulation conditions should be designed statistically and that the simulation results should be statistically analyzed as well. For the safe and economic design of harbor and fairway, reasonable decisions based upon the scientific analysis of shiphandling simulation results are indispensable. In this paper, various statistical methods, such as Bayes theorem, statistical hypothesis testing, and probability distributions, are reviewed with a view to application to maritime traffic safety assessment. It is expected that more reasonable decisions on harbor and fairway design can be made from shiphandlers' view point by using statistical methods.

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A Program for Statistical Education through Simulation

  • SookHee Choi
    • Communications for Statistical Applications and Methods
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    • v.6 no.1
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    • pp.251-259
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    • 1999
  • The purpose of this study is to develope a program for statistics education. This program deals with simulation which is helpful in understanding some elementary statistical concepts. This program under multimedia environment which includes sound video animation etc. doesn't show only the result but make it possible for students to execute the program by stages. This type of dynamic learning is efficient to overcome the limits of teaching materials or classroom work. Also it can interest students greatly. By executing it the students can understand the method and meaning of simulation and acquire concepts of probability and statistical inference naturally.

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Simulation Optimization with Statistical Selection Method

  • Kim, Ju-Mi
    • Management Science and Financial Engineering
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    • v.13 no.1
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    • pp.1-24
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    • 2007
  • I propose new combined randomized methods for global optimization problems. These methods are based on the Nested Partitions(NP) method, a useful method for simulation optimization which guarantees global optimal solution but has several shortcomings. To overcome these shortcomings I hired various statistical selection methods and combined with NP method. I first explain the NP method and statistical selection method. And after that I present a detail description of proposed new combined methods and show the results of an application. As well as, I show how these combined methods can be considered in case of computing budget limit problem.

A Study on Statistical Simulation of Multicore Processor Architectures (멀티코어 프로세서의 통계적 모의실험에 관한 연구)

  • Lee, Jongbok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.259-265
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    • 2014
  • When the trace-driven simulation is used for the performance analysis of widely used multicore processors in the initial design stage, much time and disk space is necessary. In this paper, statistical simulations are performed for a high performance multicore processor with various hardware configurations. For the experiment, SPEC2000 benchmarks programs are used for profiling and synthesizing new instruction traces. As a result, the performance obtained by our statistical simulation is comparable to that of the trace-driven simulation with the benefit of tremendous reduction in the simulation time.

A Statistical Estimation of The Universal Constants Using A Simulation Predictor

  • Park, Jeong-Soo-
    • Proceedings of the Korea Society for Simulation Conference
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    • 1992.10a
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    • pp.6-6
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    • 1992
  • This work deals with nonlinear least squares method for estimating unknown universial constants C in a computer simulation code real experimental data(or database) and computer simulation data. The best linear unbiased predictor based on a spatial statistical model is fitted from the computer simulation data. Then nonlinear least squares estimation method is applied to the real data using the fitted prediction model(or simulation predictor) as if it were the true simulation model. An application to the computational nuclear fusion device is presented.

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A Study On Statistical Simulation for Asymmetric Multi-Core Processor Architectures (비대칭적 멀티코어 프로세서의 통계적 모의실험에 관한 연구)

  • Lee, Jongbok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.157-163
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    • 2016
  • If trace-driven or execution-driven simulation is used for the performance analysis of asymmetric multi-core processors, excessive time and much disk space are necessary. In this paper, statistical simulations are performed for asymmetric multi-core processors with various hardware configurations. For the experiment, SPEC 2000 benchmark programs are used for profiling and synthesis, which is supplied as input for the simulation of asymmetric multi-core processors. As a result, the performance of asymmetric multi-core processor obtained by statistical simulation is comparable to that of the trace-driven simulation with a tremendous reduction in the simulation time.

The Processor Performance Model Using Statistical Simulation (통계적 모의실험을 이용하는 프로세서의 성능 모델)

  • Lee Jong-Bok
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.5
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    • pp.297-305
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    • 2006
  • Trace-driven simulation is widely used for measuring the performance of a microprocessor in its initial design phase. However, since it requires much time and disk space, the statistical simulation has been studied as an alternative method. In this paper, statistical simulations are performed for a high performance superscalar microprocessor with a perceptron-based multiple branch predictor. For the verification, various hardware configurations are simulated using SPEC2000 benchmarks programs as input. As a result, we show that the statistical simulation is quite accurate and time saving for the evaluation of microprocessor architectures with multiple branch prediction.

Simulation Uleung Island By The Statistical Fractals (프랙탈 기법에 의한 울릉도 형상화 사례 연구)

  • 노용덕
    • Journal of the Korea Society for Simulation
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    • v.4 no.1
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    • pp.113-119
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    • 1995
  • In 3D computer graphics, fractal techniques have been applied to terrain models. Even though fractal models have become popular for recreating a wide variety of the shapes found in nature, a specific 3D terrain model such as Uleung Island could not be formulated by statistical fractals easily owing to the random effects. However, by locating the midpoints on the edges and the surface of a specific terrain such as Uleung Island, a similar shape of the terrain model can be simulated. This paper shows the way of simulating 3D Uleung Island terrain model by the statistical fractals wherein the subdivision algorithm is used.

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Validation of Statistical Analysis-based Aberrancy Probability Using Marine Simulations

  • Kim, Sung-Cheol
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.3
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    • pp.332-338
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    • 2018
  • To perform the Maritime Safety Audi Scheme, $10^{-4}$ was constantly applied without adjustment when evaluating the proximity of the fairway. The necessity of applying the different aberrancy probabilities from the different proximity of the fairway depending on the shape of the route and the size of the ship was validated using marine simulations. Marine simulation was performed to evaluate the validity of statistical analysis-based aberrancy probability according to the different shapes of routes and ship size presented in the previous study. As results, the validity of the criterion of the statistical analysis-based aberrancy probability was confirmed by comparing with the results of simulation-based aberrancy probabilities. The results support that the aberrancy probabilities by the types of a vessel could be different based on the type and size of vessels. The results motivate that further investigation is required to find the reasonable criteria of the aberrancy probabilities for the maritime traffic safety audit according to the fairway shape and the size of the vessel.