Versatile, Stationary/Mobile Low-Cost Telecommunication System
Bibliographic record
Abstract
We describe a low-cost, versatile microstrip antenna to be used for terrestrial to satellite fixed and mobile point to point links at Ku-band. The Ku band has attracted a great deal of attention in North America and Europe due to the available wide bandwidth and the propagation range, which has enabled it to be used for terrestrial and terrestrial-to satellite links. This makes it particularly attractive for short and medium range communications. This link is versatile and can be re-configured on the fly to provide coverage and increasing omni-directional range. The antenna discussed here can be used for satellite-to-earth communications, both from fixed and mobile terminals. One of the useful features are its ease of manufacture which therefore makes it low cost and easy to install in environments where this is a primary driver. Furthermore, the small-size attracts little attention and creates a stealthy package which is durable in extreme weather scenarios. In conjunction with a low-cost front end radio, which is briefly described, this point-to-point telecommunication system can present a high efficiency, ultra-low cost enabling platform for content delivery (Internet, TV, etc.). Comparisons with other research of wide-area, low-cost network coverage was provided.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
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".