• Title/Summary/Keyword: Gaussian diffusion model

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Numerical Modeling and Simulations of Electrical Characteristics of Multi-layer Organic Light Emitting Diodes

  • Lee, Hyun-Jung;Lee, Yong-Soo;Park, Jae-Hoon;Choi, Jong-Sun
    • Journal of Information Display
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    • v.8 no.3
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    • pp.11-16
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    • 2007
  • Theoretical simulations of spatial distribution of charge carriers and recombination rate, and J-V characteristics of the multi-layer organic light emitting diodes are carried out. Drift-diffusion current transport, field-dependent carrier mobility, exponential and Gaussian trap distribution, and Langevin recombination models are included in this computer model. The simulated results show good agreement with the experimental data confirming the validity of the physical models for organic light emitting diodes.

Modeling of Damage Effects Caused by Ammonia Leakage Accidents in Combined Cycle Power Plant (복합화력발전소 내 암모니아 누출 사고에 의한 피해영향 모델링)

  • Eun-Seong Go;Kyeong-Sik Park;Dong-Min Kim;Young-Tai Noh
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.3
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    • pp.1-15
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    • 2023
  • This study focuses on modeling the impact of ammonia leakage from the storage tank in a combined cycle power plant's flue gas denitrification facility. It employs accident impact assessments and diffusion models to determine the optimal scenarios for ammonia storage tank leakage accidents. The study considers the operating conditions of variables as standard conditions for predicting the extent of damage. The Taean combined cycle power plant is chosen as the target area, taking into account seasonal factors such as temperature, humidity, wind speed, atmospheric stability, and wind direction. By utilizing a Gaussian diffusion model, the concentration of ammonia gas at various locations is estimated to assess the potential extent of external damage resulting from a leak. The study reveals that in conditions of high temperature and stable atmosphere within the specified range, lower wind speeds contribute to increased damage to the human body due to ammonia diffusion.

Analysis of Flows in the Combustor with Recirculating Flow Regime (재순환영역을 가지는 연소기내의 연소유동해석)

  • 신동신;허남건
    • Journal of the Korean Society of Propulsion Engineers
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    • v.1 no.2
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    • pp.22-31
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    • 1997
  • We developed a general purpose program for the analysis of flows in the combustor with recirculating flow regime and simulated the flows. The program uses non-staggered grids based on finite volume method and the primitive variables are cartesian velocities. The combustion model is irreversible one step reaction with infinite chemistry The Favre averaged governing equations are considered and the clipped gaussian distribution is considered as a probability density function of the conserved scalar. We calculated turbulent diffusion flame with recirculating flow regime. Simulation shows two recirculating regions like experimental results. Velocity, turbulent kinetic energy, temperature and concentration distribution in simulation agree well with experimental data.

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Performance Comparison of Machine Learning Based on Neural Networks and Statistical Methods for Prediction of Drifter Movement (뜰개 이동 예측을 위한 신경망 및 통계 기반 기계학습 기법의 성능 비교)

  • Lee, Chan-Jae;Kim, Gyoung-Do;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.45-52
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    • 2017
  • Drifter is an equipment for observing the characteristics of seawater in the ocean, and it can be used to predict effluent oil diffusion and to observe ocean currents. In this paper, we design models or the prediction of drifter trajectory using machine learning. We propose methods for estimating the trajectory of drifter using support vector regression, radial basis function network, Gaussian process, multilayer perceptron, and recurrent neural network. When the propose mothods were compared with the existing MOHID numerical model, performance was improve on three of the four cases. In particular, LSTM, the best performed method, showed the imporvement by 47.59% Future work will improve the accuracy by weighting using bagging and boosting.