Sentence examples for net theory from inspiring English sources

I've met a number of Chinese who are intrigued by a sort of net theory: the notion that the Chinese do especially well at Ping-Pong, badminton, and volleyball because these are sports in which there is no direct contact between opponents.

In this research, Petri net theory is extended to model system failures.

Fuzzy Petri net theory is adopted to descript fuzzy logic and knowledge expression appearing in the collaborative design process control.

The significance of this work is the use of a rate based model and NET theory as a tool for energy use analysis in multicomponent distillation processes.

This paper presents a formal verification algorithm using the Petri Net theory to detect design errors for high-level synthesis of dataflow algorithms.

We present an approach for the development of such systems, which applies concepts, technologies and techniques from agent and Petri net theory as well as from software engineering.

A matrix framework that based on the Petri nets theory (PNs) and the standard industrial engineering (IE) techniques were adopted into this paper.

With the aid of the netting theory and fiber slippage law, the governing equations for specifying the meridian profiles of non-geodesic-isotensoids are derived based on the condition of uniform fiber stress.

Then, we study qualitative properties of Π-nets and Π2-nets, the non-stochastic versions of SΠ-nets and SΠ2-nets: we establish two results on the complexity bounds for the liveness and the reachability problems, which are central problems in Petri nets theory.

The key features of this procedure are: the starting point determination methodology; a sensitivity analysis based on an integration between the classical laminate theory and the netting theory to validate the FE optimiser results; the strategy of choice of the best compromise solution in terms of design constraints and objective function.

We analyze this model using tools from Petri-net theory and study its dynamical range that is consistent with currently available knowledge by conditioning model parameters on the available data in an approximate Bayesian computation (ABC) framework.