Educational Virtual Instrumentation Application for System Identification
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
The PC based virtual instrumentation is a dynamic and attractive alternative to the classic instrumentation. Its main advantages are: flexibility and adaptability, low cost, wide development of extension PC boards with measurements features, attractive representation of measurement results, in different forms, on the PC's monitor. The paper presents a system identification application with PC based (virtual) instrumentation. The virtual system is made of an external board, connected to the PC via the USB interface and a software tool, Agilent VEE (Visual Engineering Environment). The presented virtual system can work as a voltmeter, ammeter, signal generator, digital oscilloscope and power supply. The main contribution of the paper is the extension of the application domain of the virtual instrumentation system to system identification. The identification method consists of applying to the system input a binary pseudorandom signal (BPRS) and determining the impulse response of the system as being well approximated by the cross-correlation function between the input signal and the answer of the system. The application is intended for educational purposes but can be used in other areas too
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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