Modeling Data Integration for Dynamic Allocation and Intelligent Scheduling of Airport Terminal Resources

2014 ◽  
pp. 369-375
Author(s):  
Shaowu Cheng ◽  
Yuan Tian ◽  
Tianran Zhou ◽  
Yaping Zhang
Keyword(s):  
Data Integration ◽  
Dynamic Allocation ◽  
Airport Terminal ◽  
Intelligent Scheduling ◽  
Modeling Data

Modeling Data Integration with Updateable Object Views

2005 ◽  
pp. 188-198 ◽  
Author(s):  
Piotr Habela ◽  
Krzysztof Kaczmarski ◽  
Hanna Kozankiewicz ◽  
Kazimierz Subieta
Keyword(s):  
Data Integration ◽  
Modeling Data

Positional Estimation Within a Latent Space Model for Networks

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Susan Shortreed ◽  
Mark S. Handcock ◽  
Peter Hoff
Keyword(s):  
Random Effects ◽  
Network Data ◽  
Random Effects Models ◽  
Space Model ◽  
Network Analyses ◽  
Recent Advances ◽  
Latent Space ◽  
Latent Space Model ◽  
Modeling Data

Recent advances in latent space and related random effects models hold much promise for representing network data. The inherent dependency between ties in a network makes modeling data of this type difficult. In this article we consider a recently developed latent space model that is particularly appropriate for the visualization of networks. We suggest a new estimator of the latent positions and perform two network analyses, comparing four alternative estimators. We demonstrate a method of checking the validity of the positional estimates. These estimators are implemented via a package in the freeware statistical language R. The package allows researchers to efficiently fit the latent space model to data and to visualize the results.

Intelligent Scheduling Method of Molten Iron Transportation of Steel Enterprise

2007 ◽  
Author(s):  
De-Hong Cong ◽  
Jia Wang ◽  
Xing-gang Liu ◽  
Xiao-chuan Luo ◽  
Shan-qing Li
Keyword(s):  
Molten Iron ◽  
Scheduling Method ◽  
Intelligent Scheduling
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