• 제목/요약/키워드: Surrogate

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e스포츠 리그에서 대리 게임 및 어뷰징(고의 패배) 규정 신설에 대한 필요성 (The Need for Surrogate Game and Win Trading Gameplay Regulations in e-sports Leagues)

  • 서석훈
    • 한국컴퓨터게임학회논문지
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    • 제31권4호
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    • pp.9-15
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    • 2018
  • 이 연구는 e스포츠 리그에서 발생하는 대리 게임과 어뷰징(고의 패배)의 실태를 조사하고 이를 처벌할 수 있는 새로운 규정 신설을 주장하기 위한 목적이 있다. 연구 대상은 일반 게임 유저 40명, e스포츠 리그 선수 17명, 총 57명의 인원을 대상으로 설문조사를 진행하였다. 연구 결과, 선수 유저는 가즈릴라 경험 비율이 높았으며, 가즈릴라를 통해 게임 등수를 쉽게 높일 수 있을 것이라 생각하였으며 대리 게임이라 생각하지 않는다. 반면 일반 게임유저는 가즈릴라 경험 비율이 낮고, 가즈릴라를 통해 게임 등수를 높일 수 있을 것이라 생각하지 않지만 대리 게임이라 생각하는 경향이 강하다. 선수 유저 집단과 일반 유저 집단이 가즈릴라를 다르게 바라보고 있으며, 선수 유저 집단과 일반 유저 집단 모두 가즈릴라와 대리 게임에 대한 규정의 필요성은 공감하고 있다. 가즈릴라와 대리 게임에 대한 규정 확립을 통해 선수 유저 집단과 일반 유저 집단의 인식의 차이를 좁혀나가야 한다.

대용특성을 이용한 선별형 스크리닝 절차의 설계 (Design of Rectifying Screening Procedures Using a Surrogate Variable)

  • 홍성훈
    • 대한산업공학회지
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    • 제32권1호
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    • pp.51-60
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    • 2006
  • When the nature of measuring a performance variable is destructive or very expensive, it is attractive to use a surrogate variable which is highly correlated with the performance variable and less expensive to measure. In this paper, we propose rectifying screening procedures using the performance and surrogate variables. Two screening procedures are considered; a statistically-based screening procedure to reduce the current proportion of nonconforming items to a specified lower value after screening, and an economically-based screening procedure where the screening limit is determined so that the expected cost is minimized. It is assumed that the surrogate variable given the performance variable is normally distributed with known mean and standard deviation. For two screening procedures, methods of finding the optimal solutions are presented and numerical examples are also given.

HCCI 엔진 해석을 위한 Diesel Surrogate 반응 기구에 관한 연구 (A Study on the Detailed Diesel Surrogate Chemical Mechanism for Analysis of HCCI Engine)

  • 이원준;이승로;이창언
    • 한국자동차공학회논문집
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    • 제19권4호
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    • pp.64-71
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    • 2011
  • Homogeneous charge compression ignition (HCCI) was the best concept able to provide low NOx and PM in diesel engine emissions. This new alternative combustion process was mainly controlled by chemical kinetics in comparison with the conventional combustion in internal combustion engine. In this paper, detailed kinetic reaction mechanisms of diesel surrogate was investigated to understand the diesel HCCI engine combustion. It was tested two existing mechanisms and two new mechanisms for the comparison of experimental result. The best mechanism for diesel surrogate was suggested through this comparison.

Use of Geographic Information System Tools for Improving Atmospheric Emission Inventories of Biogenic Source

  • Shin, Tae-joo
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제3권3호
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    • pp.151-158
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    • 1999
  • Biogenic source emissions refer to naturally occuring emissions from vegetation, microbial activities in soil, lightening, and so on. Vegetation is especially known to emit a considerable amout of volatile organic compounds into the atmosphere. Therefore, biogenic source emissions are an important input to photochemical air quality models. since most biogenic source emissions are calculated at the county-level, they should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation for biogenic source emissions has been to use a "spatial surrogate indicator" such as a county area. In order to examine the applicability of such approximations, this study developed more detailed surrogate indicators to improve the spatial allocation method for biogenic source emissions. Due to the spatially variable nature of biogenic source emissions, Geographic Information Systems(GIS) were introduced as new tools to develop more detailed spatial surrogate indicators. Use of these newly developed spatial surrogate indicators for biogenic source emission allocation provides a better resolution than the standard spatial surrogate indicator.indicator.

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대리모델들을 이용한 인쇄형 열교환기의 최적설계 (Design Optimization of a Printed Circuit Heat Exchanger Using Surrogate Models)

  • 이상문;김광용
    • 한국유체기계학회 논문집
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    • 제14권5호
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    • pp.55-62
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    • 2011
  • Shape optimization of a Printed circuit heat exchanger (PCHE) has been performed by using three-dimensional Reynolds-Averaged Navier-Stokes (3-D RANS) analysis and surrogate modeling techniques. The objective function is defined as a linear combination of effectiveness of the PCHE term and pressure drop in the cold channels of the PCHE. The cold channel angle and the ellipse aspect ratio of the cold channel are used as design variables for the optimization. Design points are selected through Latin-hypercube sampling. The optimal point is determined through surrogate-based optimization method which uses 3-D RANS analyses at design points. The results of three types of surrogate model are compared each other. The results of the optimizations indicate improved performance in friction loss but low performance in effectiveness than the reference shape.

Tracing surrogate bacteria inoculated on hide through the beef slaughtering process

  • Kim, Seongjoon;Kim, Sukwon;Kim, Sung Kwan;Choi, Kwanghoon;Kim, Jinman;Choe, Nonghoon
    • 대한수의학회지
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    • 제62권1호
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    • pp.5.1-5.5
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    • 2022
  • Many countries have imposed regulations relating to concerns that hide contamination will affect the cleanliness of abattoirs. However, South Korea has not indicated any clear criteria. The purpose of this study is to use surrogate bacteria to measure the contamination in abattoirs caused by contaminated cattle hides. The swab contact method and plate count method are used. Surrogate bacteria are found in most internal environments after the final process. These surrogates remained on the carcass even after the final washing process. This paper is the first study in South Korea that use surrogate bacteria to analyze contamination levels in abattoirs.

Assessment of Air Quality Impact Associated with Improving Atmospheric Emission Inventories of Mobile and Biogenic Sources

  • Shin, Tae-joo
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제4권1호
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    • pp.11-23
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    • 2000
  • Photochemical air quality models are essential tools in predicting future air quality and assessing air pollution control strategies. To evaluate air quality using a photochemical air quality model, emission inventories are important inputs to these models. Since most emission inventories are provided at a county-level, these emission inventories need to be geographically allocated to the computational grid cells of the model prior to running the model. The conventional method for the spatial allocation of these emissions uses "spatial surrogate indicators", such as population for mobile source emissions and county area for biogenic source emissions. In order to examine the applicability of such approximations, more detailed spatial surrogate indicators were developed using Geographic Information System(GIS) tools to improve the spatial allocation of mobile and boigenic source emissions, The proposed spatial surrogate indicators appear to be more appropriate than conventional spatial surrogate indicators in allocating mobile and biogenic source emissions. However, they did not provide a substantial improvement in predicting ground-level ozone(O3) concentrations. As for the carbon monoxide(CO) concentration predictions, certain differences between the conventional and new spatial allocation methods were found, yet a detailed model performance evaluation was prevented due to a lack of sufficient observed data. The use of the developed spatial surrogate indicators led to higher O3 and CO concentration estimates in the biogenic source emission allocation than in the mobile source emission allocation.llocation.

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대용변수를 이용한 가변형 부분군 크기 ${\bar{X}}$ 관리도의 경제적 설계 (Economic Design of Variable Sample Size ${\bar{X}}$ Control Chart Using a Surrogate Variable)

  • 이태훈;이민구;권혁무;홍성훈;이주호
    • 품질경영학회지
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    • 제45권4호
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    • pp.943-956
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    • 2017
  • Purpose: This paper proposes a VSS(Variable Sample Size) ${\bar{X}}$ control chart using surrogate variable and shows its effectiveness compared with FSS(Fixed Sample Size) ${\bar{X}}$ control chart using either performance variable or surrogate variable. Methods: The expected cost function of VSS ${\bar{X}}$ control chart is derived. The optimal designs are then found for numerical examples using a GA(genetic algorithm) and compared to those of the FSS ${\bar{X}}$ control charts. Results: Computational results show that VSS ${\bar{X}}$ control chart using surrogate variables is superior to FSS ${\bar{X}}$ control chart using either performance variable or surrogate variable from the economic view points. Conclusion: The proposed VSS ${\bar{X}}$ control chart will be useful in industry fields where a performance variable is not avaliable or too costly.

Crack identification based on Kriging surrogate model

  • Gao, Hai-Yang;Guo, Xing-Lin;Hu, Xiao-Fei
    • Structural Engineering and Mechanics
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    • 제41권1호
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    • pp.25-41
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    • 2012
  • Kriging surrogate model provides explicit functions to represent the relationships between the inputs and outputs of a linear or nonlinear system, which is a desirable advantage for response estimation and parameter identification in structural design and model updating problem. However, little research has been carried out in applying Kriging model to crack identification. In this work, a scheme for crack identification based on a Kriging surrogate model is proposed. A modified rectangular grid (MRG) is introduced to move some sample points lying on the boundary into the internal design region, which will provide more useful information for the construction of Kriging model. The initial Kriging model is then constructed by samples of varying crack parameters (locations and sizes) and their corresponding modal frequencies. For identifying crack parameters, a robust stochastic particle swarm optimization (SPSO) algorithm is used to find the global optimal solution beyond the constructed Kriging model. To improve the accuracy of surrogate model, the finite element (FE) analysis soft ANSYS is employed to deal with the re-meshing problem during surrogate model updating. Specially, a simple method for crack number identification is proposed by finding the maximum probability factor. Finally, numerical simulations and experimental research are performed to assess the effectiveness and noise immunity of this proposed scheme.

Surrogate Model Based Approximate Optimization of Passive Type Deck Support Frame for Offshore Plant Float-over Installation

  • Lee, Dong Jun;Song, Chang Yong;Lee, Kangsu
    • 한국해양공학회지
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    • 제35권2호
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    • pp.131-140
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    • 2021
  • The paper deals with comparative study of various surrogate models based approximate optimization in the structural design of the passive type deck support frame under design load conditions. The passive type deck support frame was devised to facilitate both transportation and installation of 20,000 ton class topside. Structural analysis was performed using the finite element method to evaluate the strength performance of the passive type deck support frame in its initial design stage. In the structural analysis, the strength performances were evaluated for various design load conditions. The optimum design problem based on surrogate model was formulated such that thickness sizing variables of main structure members were determined by minimizing the weight of the passive type deck support frame subject to the strength performance constraints. The surrogate models used in the approximate optimization were response surface method, Kriging model, and Chebyshev orthogonal polynomials. In the context of numerical performances, the solution results from approximate optimization were compared to actual non-approximate optimization. The response surface method among the surrogate models used in the approximate optimization showed the most appropriate optimum design results for the structure design of the passive type deck support frame.