1. Brad Campbell – bradjc@virginia.edu
CS6501 Embedded OS
October 31, 2018
Brad Campbell –

2. CFP Rankings (Oct 30) Alabama (8-0) Penn State (6-2) Clemson (8-0)
Utah (6-2)
LSU (7-1)
Iowa (6-2)
Notre Dame (8-0)
Texas (6-2)
Michigan (7-1)
Mississippi State (5-3) 
Georgia (7-1)
Syracuse (6-2)
Oklahoma (7-1)
Texas A&M (5-3)
Washington State (7-1)
NC State (5-2)
Kentucky (7-1)
Boston College (6-2)
Ohio State (7-1)
Fresno State (7-1)
Florida (6-2)
Iowa State (4-3)
UCF (7-0)
Virginia (6-2)
West Virginia (6-1)

3. Best Presentation
Multiprogramming a 64 kB Computer Safely and Efficiently
4.33
Create Your Own Internet of Things
4.29
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
4.25
Synthetic Sensors: Towards General-Purpose Sensing
4.22
TinyOS: An Operating System for Sensor Networks 4

4. Highest Chance of Impact
Array of Things: A Scientific Research Instrument in the Public Way
3.77
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
3.75
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
TinyOS: An Operating System for Sensor Networks
3.71
Multiprogramming a 64 kB Computer Safely and Efficiently
3.5

5. Most Interested
A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
3.89
Create Your Own Internet of Things
3.86
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
3.75
Array of Things: A Scientific Research Instrument in the Public Way
3.44
Synthetic Sensors: Towards General-Purpose Sensing

6. Best Overall
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
4.5
TinyOS: An Operating System for Sensor Networks
4.14
A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring 4
Synthetic Sensors: Towards General-Purpose Sensing
3.89
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
3.88

7. Confidence Create Your Own Internet of Things 2.86
Synthetic Sensors: Towards General-Purpose Sensing
2.78
A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
2.67
MotionSync: Personal Energy Analytics through Motion Tags and Wearable Sensing
2.56
Programming Models for Sensor Networks: A Survey
2.44

8. Project Overview 1-2 people Related to IoT & OS Timeline
Proposal: Oct 1
Brief, one page, describe the project. Be sure to include:
The problem it is solving
How you will know it is working/done
Hack Day: Oct 31
Presentations: December 3 & 5
Overview and demo (if applicable)
Timing TBD

9. Option 1: IoT Demo: Deliverables (Due Dec 3)
1-2 page written overview of the project
The larger problem or challenge being addressed.
A description of the project.
The technical challenges that make this challenging.
What hardware and software platforms you used.
How the software platform / OS helped or didn’t help with creating the project.
Some demo of the project
Ideally live in class.
Video would work too.
10-15 minute presentation
Answer: ”Why?”
Show the demo / video
Connections to the OS concepts we discussed in class

10. Option 2: Research Paper: Deliverables (Due Dec 3)
6 page workshop-style paper
In conference format (like the papers we have been reading)
All the relevant sections, intro, related work, overview, design, eval, conclusion
At least one or two experiments to justify the approach or claim
May or may not require hardware
10-15 minute presentation
Overview of the idea, and why
Preliminary results
Connections to embedded OS