A simple chaotic scheme for data broadcasting in intelligent transportation system
Bibliographic record
Abstract
A practical chaos-based modulation scheme is proposed for data broadcasting in the intelligent transportation system (ITS). The data to be broadcasted is modulated into the chaos system by modifying the chaotic parameter. The transmitted chaotic signal has broadband performance. Based on the ergodicity of the chaotic signal, a simple chaotic parameter estimation method is used to estimate the parameter values and then to demodulate the information by a non-coherent demodulator. The proposed chaotic communication scheme called BPSK ergodic chaotic parameter modulation (BPSK-ECPM) reduces the complexity of the synchronization process of spread spectrum transmission and has a strong tolerance of the synchronization error. It is applicable for the real-time vehicle-to-vehicle and road-to-vehicle data broadcasting in ITS. It can be built by simple hardware with low manufacturing cost, which is one of the major considerations in the data broadcast systems.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".