We explore the idea that eye-movement strategies in reading are precisely adapted to the joint constraints of task structure, task payoff, and processing architecture. We present a model of saccadic control that separates a parametric control policy space from a parametric machine architecture, the latter based on a small set of assumptions derived from research on eye movements in reading (Eng...

This paper presents a novel Iterative Learning Control (ILC) scheme for linear systems in the presence of parametric uncertainty. The developed ILC architecture is comprised of an L1 adaptive feedback controller combined with an ILC feedforward controller. The learning controller is designed to compensate for repetitive system uncertainties, while the adaptive controller compensates for non-rep...

This paper documents the process and outcomes of a digital design project with the aim of translating music into architecture. Parametric software has been used to generate 48 virtual forms from the preludes and fugues of Book I of The Well-Tempered Clavier (BWV 846-869), by Johann Sebastian Bach. The paper discusses historical connections between architecture and music in the Western tradition...

Several experiments combining analog design with digital parametric design have been presented, where the relationship between material properties and the designed shape of an architectural element play an important role. This approach allows to create digital material formations or to structure freeform surfaces, control their tectonics, through parametric modulation. Similar research tasks we...

While all kinds of mixed data—from personal data, over panel and scientific data, to public and commercial data—are collected and stored, building probabilistic graphical models for these hybrid domains becomes more difficult. Users spend significant amounts of time in identifying the parametric form of the random variables (Gaussian, Poisson, Logit, etc.) involved and learning the mixed models...

While all kinds of mixed data—from personal data, over panel and scientific data, to public and commercial data—are collected and stored, building probabilistic graphical models for these hybrid domains becomes more difficult. Users spend significant amounts of time in identifying the parametric form of the random variables (Gaussian, Poisson, Logit, etc.) involved and learning the mixed models...

Efficient segmentation of color images is important for many applications in computer vision. Non-parametric solutions are required in situations where little or no prior knowledge about the data is available. In this paper, we present a novel parallel image segmentation algorithm which segments images in real-time in a non-parametric way. The algorithm finds the equilibrium states of a Potts m...

The architecture of the flight control system, essential for all flight operations, has significantly changed throughout the years. The first part of the work consists of a preliminary sizing model of an EHA and an EMA. The second part of the work consists of the development of parametric CAD models of different types of flaps and their integration in RAPID. This thesis addresses the actuation ...