Model Predictive Control (MPC) is able to directly deal with dead-time (DT) phenomena. Yet, implicit delay compensation heavily affects computational aspects of these algorithms, and stability feasibility analyses become numerically tougher. The Linear Parameter Varying (LPV) framework has been shown suitable model complex, nonlinear dynamics, corresponding MPC algorithms being developed over t...

One solution that makes parallel programming implicit rather than explicit is the dataflow model. Conceived ~35 years ago, it has only recently been made practical through systems such as Dryad and Swift [1]. We believe that we have successfully created a base for an implicitlyparallel functional dataflow programming model, as exemplified by Swift, a workflow language for executing scientific a...

Thermal processing of the key lime juice leads to the inactivation of pectin methylesterase (PME) and the degradation of ascorbic acid (AA). These changes affect directly the cloud stability and color of the juice. In this study, an artificial neural network (ANN) model was applied for designing and developing an intelligent system for prediction of the thermal processing effects on the physico...

Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud fields in a realistic way and how to use them in a relatively simple one-dimensional (1D) radiative transfer model to compute the ...