Grid Based Flood Prediction Virtual Organization

Author(s):  
Ladislav Hluchy ◽  
Ondrej Habala ◽  
Martin Maliska ◽  
Branislav Simo ◽  
Viet Tran ◽  
...  
Author(s):  
Aizhong Lin ◽  
Erik Vullings ◽  
James Dalziel

This chapter introduces the trust virtual organization as a means of facilitating authentication and authorization for sharing distributed and protected contents and services. It indicates that sharing institutional protected services and deliverables has proven a hurdle since user accounts are created in many sites. It provides an approach to solving this problem using virtual organizations with cross-institutional Single Sign On, with which users use their existing institutional accounts to login. This chapter also presents the challenges of building trust virtual organizations: managing users from distributed identity providers; managing services from distributed service providers; managing trust relationships between users and services, and authorizing the access privileges to users based on the trust relationships. It argues that the trust virtual organization increase the effectiveness of e-learning, e-research and e-business significantly. Furthermore, the authors hope that the trust virtual organization facilitates not only Webbased authentication and authorization, but also grid-based authentication and authorization.


2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Konrad Nering

AbstractThis paper describes a fully functional short-term flood prediction system. Its effect has been tested on watershed of Lubieńka river in Małopolska. To use this system it must have a data set also described in this paper. A modification of the system to adopt for predicting flash floods was described. Full operation of the system is shown on example of real flood on Lubieńka river in June 2011.


2019 ◽  
Author(s):  
Elvar Jónsson ◽  
Asmus Ougaard Dohn ◽  
Hannes Jonsson

This work describes a general energy functional formulation of a polarizable embedding QM/MM scheme, as well as an implementation where a real-space Grid-based Projector Augmented Wave (GPAW) DFT method is coupled with a potential function for H<sub>2</sub>O based on a Single Center Multipole Expansion (SCME) of the electrostatics, including anisotropic dipole and quadrupole polarizability.


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