USING REAL-TIME VIDEO ANALYTICS TO IMPROVE INSTRUCTION

From Sensors to Real-time Analytics

In the paper we present a generic pipeline developed at the Jozef Stefan Institute for the analysis of sensor data. The pipeline consists of various components such as sensors (measuring diverse quantities), sensor boards (installed in smart-city scenarios), communication lines delivering the sensor data to the data center, data servers (to enrich and store the data), real-time analytics (to ag...

Using Educational Analytics to Improve Test Performance

Learning analytics are being used in many educational applications in order to help students and Faculty. In our work we use predictive analytics, using student behaviour to predict the likely performance of end of semester final grades with a system we call PredictED. The main contribution of our approach is that our intervention automatically emailed students on a regular basis, with our pred...

Using Analytics to Improve Healthcare Outcomes

Big data analytics will transform every industry, and none more than healthcare. To simplify integration, Intel is working with GE to deliver Predix® for Healthcare, a computing platform designed specifically for integrating applications and for sharing and analyzing large, complex data sets. Predix will help healthcare providers turn mountains of isolated data into actionable insights across t...

Combining Instruction Prefetching with Partial Cache Locking to Improve WCET in Real-Time Systems

Caches play an important role in embedded systems to bridge the performance gap between fast processor and slow memory. And prefetching mechanisms are proposed to further improve the cache performance. While in real-time systems, the application of caches complicates the Worst-Case Execution Time (WCET) analysis due to its unpredictable behavior. Modern embedded processors often equip locking m...

Optimizing Instruction Prefetching to Improve Worst-Case Performance for Real-Time Applications