Modeling the internet of things in configurable process models

Summing up the results of computer simulation, we can conclude that from a practical point of view saddle case and the line of stable fixed points are more

(i) while lithologic properties and precipitation/runoff do influence erosion mechanisms and rates at the scale of individual catchments and in some specific Alpine regions,

To illustrate it, and considering the success of the case study based on the Internet of Things used in 2012, we leveraged research work made by Fleurey et al [3] to create

We also include the possible diffusion limitation in oxygen transfer observed in extreme regimes involving parameters such as alveolar and venous blood oxygen partial

Therefore, we want to extend existing work on the PPM [15], which focuses on single model engineer settings, toward a collaborative setting where multiple stakeholders (e.g.,

We extend existing work investigating the process of creating process models (i.e., process of process modeling (PPM)) which focuses on single modeler settings [1], toward a

Viewing modeling as a conversation in which individuals’ mental models are being made explicit and merged into a shared mental model [14], guided by goals and interests and directed

Process Configurator accepts a domain configuration generated by Quaestio, the serialization of a process model (e.g. the one produced by the C-iEPC Designer), and the mapping