A novel Markov random field (MRF) model is proposed for roof-edge (as well as step-edge) preserving image smoothing. Image surfaces containing roof-edges are represented by piecewise continuous polynomial functions governed by a few parameters. Piecewise smoothness constraint is imposed on these parameters rather than on the surface heights as is in traditional models for step-edges. In this wa...

This paper proposes efficient step response model implementation strategies that lead to accurate control and high computational performance in an embedded Model Predictive Control (MPC) scheme. Different implementations of the step response prediction model are examined, and inherent properties that directly affect control performance in the presence of disturbances are discussed. Model errors...

This paper deals with the control of the heat exchangers. Due to the resonant effect on this systems, simplified lumped parameters models obtained from the step response can be not enough appropriate to controller design if high performance is required. To design the control, instead of looking for a precise heat exchanger model obtained through complex experiments and sophisticated parameter e...

Abstract: The medical irrigation pump is a common medical device for cleaning the wound in the surgery. A thermostatic irrigation pump with a PID (proportional-integral-derivative) controller was designed to provide warm solution nearing the body core temperature for surgical irrigation. Firstly, an experiment was designed to obtain the step response curve, so as to derive the mathematical mode...

An Integrated Product Model (IPM) stands for a conceptual model describing data of a technical product. It is used as basic technology of enabling application systems to exchange and share product data. Within the IPM development, the integration of data models is an important process. Unfortunately, because of the model complexity, it is difficult for the IPM developer to have control of it. T...

This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first step, detection is carried out by adopting a new perceptually-inspired 3D saliency measure. Such measure allows the detection of few sparse salient points that characterize distinctive portions of the surface. In the sec...

We model a market in which suppliers bid step-function offer curves using agent-based modeling. Our model is an abstraction of electricity markets where step-function offer curves are given to an independent system operator that manages the auctions in electricity markets. Positing an elementary and computationally accessible learning model, Probe and Adjust, we present analytic results that ch...

A great disparity exists between the direction of travel demand forecasting by researchers, and the travel demand models used by transportation planning organizations. Activity-based models of travel demand have become increasingly studied in the academic realm and significant advances have been made in recent years. However, travel demand forecasting tools used in practice have lagged behind, ...