recognition of soil water infiltration process is essential for improving irrigation efficiency, decreasing water losses and management of surface runoff. the aim of this research was to evaluate temporal variation of the kostiakove-louise infiltration coefficient parameters during a corn growing season. in this research, 16 irrigation events for 8 large scale furrow experiments were analyzed b...

Spatio-temporal models are crucial for performing assumption and predictions for physical, environmental, space and biological science. Typical application examples include traffic monitoring, regional ozone monitoring, disease mapping and analysis of satellite data. This paper discusses the construction of a conceptual model for spatio – temporal processes based on the concepts of concurrent p...

Many models suggest that time perception is mediated by a unitary mechanism. For example, scalar expectancy theory (SET), the dominant model of timing for the past 30 years, suggests that temporal processing is mediated by a centralized clockcounter module in which elapsed time is measured by the summation of pacemaker pulses (Gibbon et al., 1984). A number of alternative, neurally plausible mo...

Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the visualization techniques of temporal data: a wide range of visualization techniques have been designed to assist ...