scholarly journals Forecast Model Research for u-Gov's Social Welfare Applied IT Convergence Technology

2010 ◽  
Vol 14 (1) ◽  
pp. 1-8
Author(s):  
Young-Chul Jeong ◽  
Jong-An Park
Keyword(s):  
Social Welfare ◽  
Forecast Model ◽  
It Convergence ◽  
Model Research

Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model

2017 ◽  
Vol 8 (2) ◽  
pp. 15-26
Author(s):  
Zhenchang Zhang ◽  
Libin Gao ◽  
Minquan Guo ◽  
Riqing Chen
Keyword(s):  
Time Window ◽  
Forecast Model ◽  
Ocean Model ◽  
Satellite Sst ◽  
Regional Ocean Model System ◽  
Model Research ◽  
Numerical Ocean Model ◽  
Regional Ocean Model ◽  
Taiwan Straits ◽  
Marine Environmental

The 4D variational (4DVAR) assimilation numerical ocean model research is proposed. This model for Taiwan Straits (TWS) is based on Regional Ocean Model System (ROMS). The background of the 4DVAR method is introduced and the development process of assimilation system is presented. In the present research, the model assimilated with Sea Surface Temperature (SST) data of HY-2 satellite (Qi, 2012; Xu, 2013) which is the first marine environmental monitoring satellite of China. In this paper, the model processes from Feb. 1 to Feb. 7, 2014 with one-day assimilation time window and root mean square error (RMSE) reduces averagely by 14.7%.

Cost Forecast Model Research Based on Trend Extrapolation

2011 ◽  
Vol 65 ◽  
pp. 40-43
Author(s):  
Xiao Zhao ◽  
Xue Feng Liu
Keyword(s):  
Cost Savings ◽  
Forecast Model ◽  
Production Costs ◽  
Good Effect ◽  
Main Method ◽  
Practical Applications ◽  
Steel Factory ◽  
Model Research ◽  
Forecasting Method ◽  
Accurate Forecast

In order to help companies achieve the efficient and accurate forecast production costs with little human and financial resources possibly, we selected a steel factory as example, and the trend extrapolation method is used to study as the main method which belongs to time series forecasting method, the experimental results obtained good effect in practical applications, the study method is very simple and cost savings, the achievement can be used in enterprise easily.

scholarly journals Traffic assignment forecast model research in ITS

2007 ◽  
Vol 10 (3) ◽  
pp. 213-217
Author(s):  
Wei Wang ◽  
Quan Wang ◽  
Chao Wang
Keyword(s):  
Traffic Assignment ◽  
Forecast Model ◽  
Model Research
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