Fine-grained Scheduling of Real-Time Recurrent DAG Tasks upon Multiprocessor Platforms

With the strong demand for computing capacity in industrial applications and the rapid development of the hardware industry in recent years, multiprocessor platforms have been widely used in real-time embedded systems. The quest for performance has led to existing multiprocessor platforms often featuring complex interconnected hardware...

Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set

Sports injury has long been causing concern to the athlete’s performance, financial aspect, and psychological impact. This is even more prominent in recent years as sports become more widely available o the mass population. Reducing the chances of athletes experiencing injuries not allows them to maintain optimal performance during training and...

An Improved Optimization Method to Increase the Truck Planning Efficiency of Landside Air Cargo

Congestion in the landside air cargo supply chain occurs for different concurring reasons. Lack of coordination between freight forwarders, as example, might create truck congestion on the ground handler side. Horizontal collaboration between forwarders can be introduced and modeled via mathematical programming to mitigate congestion. Resulting...