This is a collection of course project reports for Real-Time Systems offered at UCF. Most of the writings are reviews of several research papers on a topic in real-time systems, while a few of those are a description of some on-going research/project efforts by the student(s) in the related domain. Real-Time Systems is a foundational cornerstone of Cyber-Physical Systems and Internet of Things, which is a broad area with many potential applications that tens or even thousands of professors and research groups at UCF are working on. The topics are by no means to be comprehensive.
Submissions from 2020
Research review on mixed-criticality scheduling, Hattan Althebeiti
STEWART PLATFORM, Matthew Claudio
Digital Power Supply Controller, Michael Gendreau
Machine Learning and Neural Networks for Real-Time Scheduling, Adam Loree and Christy Wilhite
Review of CPU Energy-Aware Parallel Real-Time Scheduling, Sebastien Pierre
Submissions from 2019
Machine Learning and Neural Networks for Real-Time Scheduling, Daniel Hureira and Christian Vartanian
A Review on Mixed Criticality Methods, Alex Jenkel
Analysis Literatures of Machine Learning and Neural Networks for Real Time Scheduling, Phong Nguyenho and Mark Nguyen