Sentence examples for state task network from inspiring English sources

The framework for the proposed general network superstructure, where all possible process transformations, storage, transports and auxiliary operations are accounted for, is modeled using a maximal state task network representation.

In the new model, multipurpose batch plants are described with a modified state-task network (STN) approach, and binary variables express the assignments and sequences of batch processing and storing.

A general spatial optimization framework that relies on the use of a modified state-task network representation for design and planning problems in material and energy supply chain networks is presented.

State-task-network (STN) and resource-task-network (RTN) representations are popularly used for formulating mathematical models of scheduling problems.

In this work we present a mid-term scheduling model for pharmaceutical manufacturing based state-task-network (STN) with special attention to pharmaceutical aspects such as sterile holding time as well as shift mode production and weekends break.

A state-task-network (STN) approach, originally developed for the design and scheduling of batch plants within the process industries, has been adapted to provide a generic representation of harvesting, densification, drying, storage and transportation activities.

The overall model is a mixed-integer linear programming (MILP) formulation based on state-task-network (STN) representation of the process using unit-specific event-based continuous-time representation.

AC has the task of estimating the state of network's resources and thereby to decide which application data flows can be admitted without promising more resources than are available and thus violating previously made guarantees.

Furthermore, a set of small but consistent changes common across tasks suggests the existence of a task-general network architecture distinguishing task states from rest.

Research to determine the association between resting state fMRI network synchrony and network performance during tasks that involve appetitive drive and executive control would help demonstrate how the brain's readiness alters the brain's response to a task.

In comparison to task-free resting state connectivity, task-based MACM delineates networks, which are concurrently recruited by an extended range of tasks and should therefore be able to reflect robust networks of coordinated activity in response to external task-demands.