Title :
Signal Transmission and Concurrent Processing in Spatio-Temporal Perspective
Author :
Aigong, Xu ; Lakmal, A.H.
Author_Institution :
Sch. of Geomatics, Liaoning Tech. Univ., Fuxin, China
Abstract :
This paper addresses to development of the conceptual modeling phase of spatio-temporal phenomena. It is necessary to develop new techniques to accommodate the peculiarities of the combined spatial and temporal information that take their outset in existing techniques and minimally extend them. Interpretation of real world phenomena in a process perspective is the core of this model. Processes highly correlate with signal transmission. So, the management of such processes raises new signal manipulation issues. The issues are process progressions and interactions between temporal and spatio-temporal, spatial and spatio-temporal processes during signal transmission. To this end, a new modeling approach, which is based upon ¿ - Calculus, to represent and manipulation these signal transmission is proposed. The representation model consists in describing how a signal evolves in the course of time and space. We associate semantics of ¿ - Calculus also to this description. Concerning the manipulation, five different situations in spatio-temporal process are discussed. Some important future works also reports on this ongoing research.
Keywords :
pi calculus; signal processing; spatiotemporal phenomena; conceptual modeling phase; concurrent processing; process progressions; representation model; signal manipulation; signal transmission; spatial information; spatiotemporal perspective; spatiotemporal phenomena; spatiotemporal process; temporal information; ¿ - Calculus; Calculus; Concurrent computing; Geographic Information Systems; Humans; Information systems; Mobile communication; Mobile computing; Object oriented modeling; Ontologies; Signal processing; PI-Calculus; concurrent processing; spatio-temporal model;
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
DOI :
10.1109/CMC.2010.79