Development and Applications of a Total Station with a Built-in Crack Scale
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
Cracking is one of the most important features for identifying the current condition states of concrete structures. Structural engineers can analyze the cracking patterns and its extension over a period of time to make proper decisions on structural repair and/or rehabilitation. In this research, a crack detection system called "KUMONOS" - which is a total station equipped with a built-in crack scale - is described. The system generates a crack map with higher accuracy without reaching the structure within an arm's length, providing safer working environment to the inspector compared to the traditional close-up visual inspection method. Furthermore, the data obtained by KUMONOS can be integrated into the data from a 3D laser scanner or photogrammetry. The crack widths determined by the built-in crack scale varies depending on his/her experience and prejudice, causing certain amount of dispersion in the determination of crack widths. In order to minimize this dispersion, a methodology was developed to calibrate the human eye by providing a short training course. This paper describes the theory of crack measurement using the KUMONOS system, calibration training program, and some examples of the combined usage of KUMONOS with photogrammetry and a 3D laser scanner.
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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