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NIMS-National Institute for Mathematical Sciences South Korea

korea

Conference

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Analysis of numerical algorithm for mitigation and improvement of uncertainty in predictive models

  • Announcement  Professor Kim Won-Soo
  • Organizers  Ministry of Industrial Mathematics
  • Date  2018-06-29 ~
  • Place  CAMP Middle Classroom of the National Institute of Mathematical Sciences
  • Host  Yoon Kang Joon

1. Title: Analysis of numerical algorithm for mitigation and improvement of uncertainty in predictive models

2. Temporary and location
- June 29, 2018 (Friday) 10:00 AM to 18:00
- Medium meeting room of the Research and Exchange Center (CAMP) of the National Institute of Mathematical Sciences

3. Direction and goals
Analysis of Domestic Research Trends and Skills in Predictive Models of Meteorological, Ocean and Polar Glaciers
A study of the domestic prediction model developers (engineers) and numerical analysts (hydrologists) gathered together to discuss the problems of numerical algorithm in the predictive model and to improve uncertainty in the prediction model

4. Presentation details
Introduction and Analysis of Computational Fluid Dynamics
10:00-10:30 Kim Required (Gyeongbuk National University Math) - High order semi-Lagrangian method and it's applications
10:30-11:00 Kim Chang-ho - Hybrid WENO Schedules for the Compressive Ideal 
Magnetohyrodynics Equation
11:00-11:30 Ahn Hyung-taek (Ulsan University, Department of Shipbuilding, Ocean Engineering) - Introduction to CFD Analysis Techniques and Issues in Engineering
11:30-12:00 Lee Byung-joon (Catholic University Math) - Incompressible Navier-Stokes Based on Level Set Method 
A Study on the Numerical Approximation of Equation

Technology Trends and Issues in Predictive Models
13:00-13:30 AM & Characterization (APEC Weather Center) - Introduction to APCC Seasonal Weather Prediction System
13:30-14:00 P.M. - Status and plan of ice sheet modeling in KOPRI
14:00-14:30 Kim Young-Ho (Korea Ocean Science and Technology Institute) - Marine/climate prediction of Korea Ocean Science and Technology Institute applied data assimilation techniques
14:30-15:00 Namhyun (Korea Numerical Prediction Model) - Korean Integrated Model (KIM)
An Introduction to Numerical Techniques Applied to Epidemiological Core in the Development of

Discussing ways to improve the performance of predictive models through video processing and optimization
15:00-15:30 Yoon Sang-min (Ministry of Computer Science at Kookmin University) - 3D video-based restoration technology
15:30-16:00 Park Young-gyu (Korea Ocean Research & Technology Institute) - Prediction of the ment of the Yangbu-goo using the Lagrangeian particle model
16:00-16:30 Kang Myung-min (SNU math)
Minimization
16:30-17:00 Jang Yeon-sik (Korea Ocean Research and Technology Institute) - Limits and Improvement Direction of Surf-Zone Modeling

Discussing the application method for numerical acquisition and prediction model of fluid related equations
17:00-17:30 Kim Ki-hwan (Korea Hydrographic and Numerical Modeling) - Spherical grid conversion methods and
points of improvement
17:30-18:00 Min Jo Hong (University of Ewha) - Shape optimization through function optimization
18:00-18:30 
nonlinear system by part-based filtering methods