Developing a Three-Dimensional Geometric Framework for Greening Buildings’ Façade
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
It is considerably challenging to alter the design of existing large and tall buildings to make them rely on natural energy due to many reasons. Among them is the large amount of parameters and geometric measurements required, such as height, width, plot ratio, aspect ratio, windows dimensions, etc. In this research, a new automatic algorithm is developed to model the existing buildings façade and extract several important parameters for building greening. The main contributions of this research are the automatic analysis of the digital building model and the detailed microclimatic analysis for each feature within the building façade. The developed algorithm starts with an automatic digital three-dimensional modeling of the building façade, followed by an automated extraction of the required parameters to alter the façade design such as orientation, height, and width. Results show that the proposed method offers very high accuracy and time/cost effective way for parametric modeling of the existing buildings’ façade.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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