Thesis (M.S. in Physics)--Naval Postgraduate School, December 2008. / Thesis Advisor(s): Haegel, Nancy M. "December 2008." Description based on title screen as viewed on February 5, 2009. Includes bibliographical references (p. 89-91). Also available in print.

of the Thesis Bc. Alena Třešňáková 2011 Abstract The thesis in the theme: Issues of questionable attributions of works by Francesco Squarcione The first part of the thesis provides a summary of information about Francesco Squarcione. He is known to have first been a tailor, then an artist (from 1429) and collector of antiquities, an innovative activity in his time, and finally, an entrepreneur who influenced young artists in Padua from the 1430s to 1460s. Squarcione founded (1431) the earliest known private art-school. He educated 137 pupils who had trained or learned through the copying of antiquities in Squarcione's collection. Only two works made by him have come down to us from his artistic era; the De Lazzara polyptych in the Museo Civico in Padova (1449−1452) and the Virgin and Child in Staatliche Museen in Berlin (around 1455). The second part of this work deals with the other works that have been attributed to him over the next centuries. There is a compiled catalog of these works of art. In each of the entry are summarized important opinions about authorship of the work and on the end of which I presented my own opinion. It is difficult to confidently attributed these works to the Master Francesco Squarcione, since on the commissions often collaborated his pupils, who created in his style...

Diabetes is a growing chronic disease and a worldwide problem. Without any available cure in sight for the public other methods needs to be applied to increase the life quality of diabetic patients. Artificial Pancreas (AP), a concept of having a closed loop system to control the glucose level on Type 1 Diabetes (T1D) patients has been introduced and is under development. In this thesis, Model Predictive Control (MPC) has been re implemented from scratch in MATLAB/SIMULINK with associated Kalman filter and prediction function. It was implemented in the latest version of the UVA/Padova Simulator which is a tool approved by FDA for simulating diabetes treatment in order to speed up the AP development. Different MPC cost functions where tested together with integral action on a simplified system using a linear approximation of a population model. It was implemented and tuned with a new simulation tuning method using Genetic Algorithm (GA). It showed that the quadratic cost function without integral action was the best with respect to performance and time efficiency. 3 hours was the best prediction horizon and was used for the individualized tuning using the University of Virginia (UVA)/Padova simulator. For the individualized MPC, models identified by the University of Padova were used. These simulations showed that an individualized model could be used for improved T1D treatment compared to an average population model even though the results were mixed. Almost all of the patients got improved treatment with the closed treatment and non hypoglycemic event occurred. The identification of better models is a great challenge for the future development of the AP MPC due to the excitation problems.

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