Experiments of satellite data simulation based on the Community Land Model and SCE-UA algorithm

2011 ◽  
Author(s):  
Shenglei Zhang ◽  
Jiancheng Shi ◽  
Youjun Dou ◽  
Xiaojun Yin ◽  
Liying Li ◽  
...  
Keyword(s):  
Satellite Data ◽  
Data Simulation ◽  
Community Land Model ◽  
Simulation Based

scholarly journals Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data

2017 ◽  
Vol 5 (1) ◽  
pp. 956-985 ◽  
Author(s):  
Jonathan Hobbs ◽  
Amy Braverman ◽  
Noel Cressie ◽  
Robert Granat ◽  
Michael Gunson
Keyword(s):  
Uncertainty Quantification ◽  
Satellite Data ◽  
Simulation Based

Research on Mine Gas Prediction Based on Cloud Computing Data Integrating Mode

2013 ◽  
Vol 849 ◽  
pp. 435-440
Author(s):  
Yi Zhang
Keyword(s):  
Cloud Computing ◽  
Prediction Method ◽  
Monitoring Data ◽  
Time Data ◽  
Gas Monitoring ◽  
Data Simulation ◽  
Simulation Based ◽  
Source Data ◽  
Mine Gas ◽  
Chinese Coal

Because of the lack of data sharing mechanism among different safety monitor systems used in current Chinese coal mine enterprises, it is unlikely to fuse and process mine gas monitoring data and human monitoring data. In this article, a mine gas prediction method is proposed based on cloud computing data integrating mode. The method integrates all mine gas monitoring data server resources together, and then processes the obtained data by using network distributed computing resources cluster pattern and analysis the processed data. The analyzed result will provide technique support for decision making. The article introduced the architecture of cloud computing data integrating mode pattern, and built up simulation based on real time data. Simulation result indicated that it is sufficient and accurate to predict mine gas density by using virtual service system to achieve multi-source data calculation.

scholarly journals Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1626
Author(s):  
Svetozar Zarko Valtchev ◽  
Ali Asgary ◽  
Michael Chen ◽  
Felippe A. Cronemberger ◽  
Mahdi M. Najafabadi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Rapid Assessment ◽  
Real Data ◽  
Interdisciplinary Teams ◽  
Major Focus ◽  
Data Simulation ◽  
Agent Based ◽  
Simulation Based ◽  
New Methodologies ◽  
Testing Policies

Research on SARS-CoV-2 and its social implications have become a major focus to interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing and vaccination grows, several studies appear to be dedicated to the operationalization of those solutions, leveraging both traditional and new methodologies, and, increasingly, the combination of both. This research examines the challenges anticipated for preventative testing of SARS-CoV-2 in schools and proposes an artificial intelligence (AI)-powered agent-based model crafted specifically for school scenarios. This research shows that in the absence of real data, simulation-based data can be used to develop an artificial intelligence model for the application of rapid assessment of school testing policies.

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