Round 1: AF Vs DQMH
Karina Taylor – Enviseng
Chris Virgona – Finisar
When embarking on a new project, how do you decide on a Framework to use when you’re not necessarily experienced or even aware of all the available options?
In the ring, we have Karina Taylor in the blue corner for DQMH and Chris Virgona in the red corner for AF. Both are experienced with one option and completely new to the other, so it’s a great opportunity to listen in to their discussions and learnings on the advantages and caveats of two commonly used advanced architectures in LabVIEW.
Will there be a knockout?
Modifying TestStand Process Models with LabVIEW to Standardise Test Stations
Pete Woodward – Softwire Systems
When something needs to happen on all stations for all tests then a modification to the process model used is often the best way to do it. It’s also a great place to add callbacks for common areas of code to override behaviour based on sequence-specific needs, such as unique DUT calibration procedures and serial number entry.
This talk will cover modifications to the process models of TestStand and demonstrate adding callbacks to sequences using the model to help standardise and customise TestStand.
How LabVIEW Helped Swimmers Win Gold in Paris
Neil Baker – Medulla
A showcase on building a cloud based LabVIEW application interacting with numerous layers of an AWS architecture. The application uses raw data uploaded from the eo SwimBETTER handsets and analyses stroke trajectory and power generation to help swimmers identify and eliminate areas of inefficiency and power loss in their strokes. Large datasets are processed within seconds of being uploaded and made available to the swimming on an Android or iOS app, or through desktop browser.
At the Paris Olympic games, both the Gold and Silver medalists in the men’s 100m freestyle, and the Bronze medalist in the women’s 800m freestyle have credited these unique insights as having a significant contribution to their training and preparation for the games.
This talk will describe how how the application, running on a virtual PC (Lightsail) instance interacts with different AWS layers to create a near-real time experience for the end user. We’ll also describe how this structure can quite easily apply to other cloud-based data processing solutions.