DocumentCode
2223436
Title
An improved spatial-temporal data model defined on the cellular space
Author
Changying, Wang ; Li, Cheng
Author_Institution
Coll. of Comput. & Inf., Fujian Agric. & Forestry Univ., Fuzhou, China
Volume
5
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Typical Cellular Automata (CA) driven by deterministic rules can´t fit well the environment changes. Thus introduce rules adjustment, which requires recording the change of CA pattern by establishing a new spatial-temporal data model. Based on the property of forestry fire spreading and ESTDM model, an improved spatial-temporal data model CAESTDM which is defined on the cellular space is proposed. The new model is driven by events and is spatial and temporal scalable, which better fits for the operation of the cellular automata with less data redundancy.
Keywords
cellular automata; data handling; emergency services; CAESTDM data model; cellular automata; cellular space; event-based spatial-temporal data model; forestry fire spreading property; Atmospheric modeling; Complexity theory; Fires; Temperature sensors; cellular automata; forestry fire spreading; spatial-temporal data model;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579345
Filename
5579345
Link To Document