A flexible laboratory platform for multi-disciplinary electrical engineering courses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As power and mechatronics systems become increasingly more complex, graduating engineers are required to have a deeper understanding of various electrical engineering topics such as: electronics, controls, electro-magnetism, electrical power, electric machines, communications, software, data acquisition and signal processing. To train electrical engineers of the future, conversant in these multi-disciplinary and often diverse fields, it is necessary to have a flexible laboratory platform that supports multidisciplinary areas of electrical engineering. This research project focuses on the practical hands-on integration of different multi-disciplinary fields using a unique development platform. Furthermore, the project enabled to validate, test and extend its operating limits in order to improve the quality of the product. In addition, a set of laboratory manuals to complement this platform is being developed. For future research enhancements, the platform is now being utilized for incorporating renewable energy capabilities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it