IOT ANALYSIS AND MANAGEMENT SYSTEM FOR IMPROVING WORK PERFORMANCE WITH AN IOT OPEN SOFTWARE IN SMART BUILDINGS
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
With the aim of investigating the effect of climate on the heating in buildings and human productivity, the data of thermal sensors distributed at rooms and buildings level were sent to an implemented analytic management system. This latter integrated an Internet of Things (IoT) open-source software. As part of the smart buildings project, the challenge here is to analyze the aggregated data. Therefore, statistical methods were applied to study the relationship between climate and environmental parameters of the HFT University buildings in the city Stuttgart (Germany) during 2016. Moreover, we studied the effect of indoor temperature on the thermal sensation at the same location. To optimize the result, this study was limited to workdays and cold seasons.
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) | 0.001 | 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