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.

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Submissions from 2020

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Research review on mixed-criticality scheduling, Hattan Althebeiti

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STEWART PLATFORM, Matthew Claudio

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Digital Power Supply Controller, Michael Gendreau

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Machine Learning and Neural Networks for Real-Time Scheduling, Adam Loree and Christy Wilhite

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Review of CPU Energy-Aware Parallel Real-Time Scheduling, Sebastien Pierre

Submissions from 2019

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Machine Learning and Neural Networks for Real-Time Scheduling, Daniel Hureira and Christian Vartanian

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A Review on Mixed Criticality Methods, Alex Jenkel

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Analysis Literatures of Machine Learning and Neural Networks for Real Time Scheduling, Phong Nguyenho and Mark Nguyen