A machine vision approach to the grading of crushed aggregate

The grading of crushed aggregate is carried out usually by sieving. We describe a new image-based approach to the automatic grading of such materials. The operational problem addressed is where the camera is located directly over a conveyor belt. Our approach characterizes the information content of each image, taking into account relative variation in the pixel data, and resolution scale. In feature space, we find very good class separation using a multidimensional linear classifier. The innovation in this work includes (i) introducing an effective image-based approach into this application area, and (ii) our supervised classification using wavelet entropy-based features.

Evaluation of Numeracy Skills in First Year Pharmacy Undergraduates 1999-2005

There is growing concern within the profession of pharmacy regarding the numerical competency of students completing their undergraduate studies. In this 7 year study, the numerical competency of first year pharmacy undergraduate students at the School of Pharmacy, Queen's University Belfast, was assessed both on entry to the MPharm degree and after completion of a basic numeracy course during the first semester of Level 1. The results suggest that students are not retaining fundamental numeracy concepts initially taught at secondary level education, and that the level of ability has significantly decreased over the past 7 years. Keywords: Numeracy; calculations; MPharm; assessment