RFID Data Streams Processing Using Complex Event Processing to Enhance Students Performance

摘要

This paper illustrates a new RFID-based model to autonomously monitor students' attendance in universities to enhance students' performance. The system is mainly focusing on processing the primitive events generated by the attached RFID sensor network. The underlying processing is performed via an instance of ESPER complex event processing engine. The system collects RFID primitive events and feeds them as inputs into ESPER CEP engine in order to filter events, eliminate redundancy and generate sophisticated meaningful complex events. New meaningful events are stored in as students' attendance records. They constitute an efficient source to generate statistics, monitor students' absences and send warning letters to students. As a result, the system will save the instructor's time and give the students the opportunity to receive an accurate feedback from their instructors regarding their attendance.