Analysis of volumetric properties of bituminous mixtures using cellular phones and image processing techniques
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
This study aims to develop the microanalysis of the bituminous mixtures using cellular phone images (CPI) and image processing techniques (IPT). A new methodology and scheme was developed for faster and accurate procedure to compute volumetric design parameters; voids in mineral aggregate (VMA), voids in total mix (VTM), and voids filled with asphalt (VFA) using CPI and IPT instead of the conventional methods. Five types of cellular phones with different camera resolutions were used to analyze the horizontal cross section (face) of hot mix asphalt slices. A cellular phone digital mapping frame for microstructure of the bituminous mixture for data collection was designed and implemented. New models for computations of volumetric design perimeters (VMA, VTM, and VFA) were developed. Results showed that the best cellular phone for microanalysis of the bituminous mixture is type D, even though it does not have the highest resolution, and the best height of capturing the images is 35 cm.
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 | 0.001 | 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