Abstract Commercial organizations increasingly need software processes sensitive to business value, quick to apply, supportive of multi-stakeholder collaboration, and capable of ea...
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
As order dependencies between process tasks can get complex, it is easy to make mistakes in process model design, especially behavioral ones such as deadlocks. Notions such as soun...
Mauro Gambini, Marcello La Rosa, Sara Migliorini, ...
— As technology scales to 45nm and below, process variations will present significant impact on path delay. This trend makes the deviation between simulated path delay and actua...
Xiaoxiao Wang, Mohammad Tehranipoor, Ramyanshu Dat...
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...