Combined avionics suite development for highly integrated applications
Bibliographic record
Abstract
In the context of avionics navigation systems, this project developed a comprehensive platform which considers the seamless integration and concurrent execution of multiple software defined radio applications (SDRA) by making use of a Xilinx® Virtex 6® / Intel i7 cooperative architecture in a Nutaq® software defined radio (PicoSDR®). For the processor-centred applications an architecture based on GNU-Radio was designed to work side by side with applications purely defined in a Field-Programmable-Gate-Array’s (FPGA) fabric. To obtain the required level of synchronization between the FPGA and the embedded host computer’s (SAMC®) i7 CPU cores, an Ethernet-based communication protocol suitable for the task was selected (Nutaq’s Real Time Data Exchange (RTDEx)); several processor’s cores isolation techniques were also evaluated and a subset was selected for implementation on the Linux operating system. \n \nThe FPGA’s bitstream image was designed on Xilinx’s® System Generator® making use of the Nutaq’s Model based development kit (MBDK) as well as other Simulink building blocks. Output signals from certified navigation testing equipment (Aeroflex® IFR 6000) were captured in the FPGA to allow for simulation and verification of the FPGA’s designed logic in Simulink®. \n \nIn order to properly display the most relevant system’s information, a QT® based GUI was developed. It facilitates a better user control while providing runtime configurability of the system. \n \nTo be able to conduct tests on real-life scenarios, the system’s RF section which includes a 100 watt power amplifier was incorporated taking into account hardware limitations and current industry regulations for avionic navigation systems. A strict documentation package was prepared throughout the course of the project in order to obtain a flight-testing license from NAV Canada which allows LASSENA to perform a set of flight tests for the avionics-navigation-system prototypes developed at in the lab. The first flight test which verified the proper operation of the individual modules of the system test was successfully conducted the 23th of July 2015, future flight tests are scheduled for early 2016 to test the integration architecture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.020 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".