Design of a full mesh network for non-interconnected zones (NIZ)
Bibliographic record
Abstract
In Colombia, in spite of technological and social advances, NIZ still exists in the national power grid; in adition that, in the third quarter of 2018, Internet penetration in the country was only 62%. In addition, it is institutionally found that the Mining and Energy Planning Unit -UPME- (by its acronym in Spanish) and the Institute of Planning and Promotion of Energy Solutions for the NIZ -IPSE- (by its acronym in Spanish) both entities attached to the Ministry of Mines and Energy, had to redirect their functions in order to identify, promote, foster, develop and implement effective energy solutions. The above motivated the present investigation -whose results are described in this paper - with the fundamental objective of mitigating two shortcomings: electrical interconnection and internet connection in villages and municipalities of NIZ located in Caquetá department. Consequently, a full mesh network connected to Internet is designed and simulated at one of its points, together with a photovoltaic system to supply these electrical energy nodes. The measurement results of the parameters on the nodes allow the proper selection of high throughput radio links, providing Internet access for training purposes, education and trade opening, in rural NIZ.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".