Field Measurement of the Motorcycle's Key Dimensions Using Simple Method and in-House Fabricated Instrument
Bibliographic record
Abstract
Out of many plausible causative factors for the spike in accidents, lack of riding skills is reported to be a significant reason for motorcycle mishaps. The riding skills can be improved through better availability of training facilities (simulator). Non-availability of the dimensional database (of different types of motorcycles), which are essential for simulator design, makes it difficult for the designers/ engineers to build the commercially available cheaper motorcycle-simulators. Moreover, the available measuring techniques and devices are costly and unable to satisfy motorcycle measurement's diverse requirements. Thus, the present research aimed to prepare the dimensional database of motorcycles using an in-house fabricated measuring instrument. Following the adaptive design method, the alpha prototype of a laser-pointer-based measuring instrument was developed. The calibrated device was used for measuring the dimensions associated with the handlebar, seat, and footrest of the 23 different motorcycles under study. Detailed (linear, angular, and circumferential) dimensions of the handlebar, seat, and footrest were measured using sliding calipers and protractors. Generated dimensional databases of 18 critical dimensions from the handlebar, seat, and footrest of the 23 different standard-motorcycles would be useful for deciding the motorcycle simulator's dimensions.
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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".