Search

Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm. [ABSTRACT FROM AUTHOR]

In this paper we use a model driven development approach for the derivation of the component behaviors from choreography models. We consider the reactive system domain where services are collaborative in nature involving one or more active components that may take initiatives on their own. Two different forms of choreography models having different level of details are used. An algorithm is proposed to automatically derive reusable component types utilizing these choreography models. The approach is illustrated with a case study -- the European Rail Traffic Management System. [ABSTRACT FROM AUTHOR]