In this paper, we are presenting a retrospective approach to evaluating user models by utilizing previously collected learning logs rather than setting up a new experiment. This approach is applied in a novel way to modeling heterogeneous types of user activity – problem solving, and browsing annotated examples. We are blending the two types of activity in the user model in an attempt to increa...

In blending problems there are typically specification constraints that limit the content of various properties of the blend that it acquires from the ingredients to certain maximum or minimum percentages of the total blend. For sake of linearity, these constraints are commonly included in the problem in a way that precludes direct sensitivity analysis with respect to changes in these percentag...

Bulk material blending systems still mostly implement static and nonreactive material blending methods like the well-known Chevron stacking. The optimization potential in the existing systems which can be made available using quality analyzing methods as online X-ray fluorescence measurement is inspected in detail in this paper using a multi-objective optimization approach based on steady state...

The development of consistent and stable quasicontinuum models for multidimensional crystalline solids remains a challenge. For example, proving the stability of the force-based quasicontinuum (QCF) model [M. Dobson and M. Luskin, M2AN Math. Model. Numer. Anal., 42 (2008), pp. 113–139] remains an open problem. In one and two dimensions, we show that by blending atomistic and Cauchy–Born continu...

This thesis investigates the panoramic image stitching problem in computer vision area. The panoramic image stitching algorithms are divided into image alignment and image stitching approaches. The former can find the correspondence relationships among images with certain degrees of overlap, while the latter takes the correspondence relationships estimated by the registration algorithm and uses...

European Regulation 1169/2011 requires producers of foods that contain refined vegetable oils to label the oil types. A novel rapid and staged methodology has been developed for the first time to identify common oil species in oil blends. The qualitative method consists of a combination of a Fourier Transform Infrared (FTIR) spectroscopy to profile the oils and fatty acid chromatographic analys...

Blending different low molecular weight gelators (LMWGs) provides a convenient route to tune the properties of a gel and incorporate functionalities such as fluorescence. Blending a series of gelators having a common bis-urea motif, and functionalised with different amino acid-derived end-groups and differing length alkylene spacers is reported. Fluorescent gelators incorporating 1- and 2-pyren...

This study demonstrates the capabilities of NIR imaging as an effective tool for characterization of pharmaceutical powder blends. The powder system used in this small-scale powder blending study consists of acetaminophen (APAP, the model API), microcrystalline cellulose (MCC) and lactose monohydrate. Mixtures of these components were blended for different times for a total of ten time points (...

Commercial ecological gasoline is being obtained by blending multiple components. Increasing a refinery’s economic performance depends, among other things, on obtaining optimum blending recipes for the available components. To determine the optimum blending recipe, knowing the mathematical blending model for blending properties estimation and a linear optimization algorithm are necessary. As a ...

Gasoline blending is an important unit operation in gasoline industry. A good model for the blending system is beneficial for supervision operation, prediction of the gasoline qualities and realizing model-based optimal control. Gasoline blending process involves two types proprieties: static blending property and dynamic property of blending tanks. Since the blending cannot follow the ideal mi...