Search Results for "java spectrum"

Dysgu presents an innovative approach to out-of-class activities by combining multiple dimensions of best practices from different spectrum of student learning into a coherent idea and delivering such activities with personalization and adaptation. The goal of the Dysgu system is to study the impact of frequent out-of-class activities on student learning and engagement where the activities are interactive in nature, smaller with scaffolding support, personalized and delivered via a mobile platform.

A software called Activity Predictor is developed using Java TM programming language. The Activity Predictor calculates activities, exposure rates and gamma spectra of activated samples for NAA experiments. The calculation procedure for predictions involve both analytical and Monte Carlo methods. The Activity Predictor software is validated by a series of activation experiments. It has been found that this software calculates the activities and exposure rates precisely.