Low-Cost IoT Communication in the Arctic Region: Using the SWARM Satellite Constellation for Remote Community Connectivity
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
The Arctic region is known for its harsh and remote environment. Some of the significant system problems in that region include solving communication issues and building a high-capacity terrestrial infrastructure. This study presents an innovative solution leveraging SWARM Technologies’ low-bandwidth satellite connectivity, Sustainable Distributed Cloud Infrastructure (HIVE) cloud, and devices that are used to develop an automated system for data transfer over any distance without reliance on the Internet. Using this technology, we constructed a solution that integrates SWARM devices with Amazon Web Services (AWS), utilizing an Application Programming Interface (API) for automated notification handling, data storage, and other key functionalities. This paper presented an innovative approach utilizing AWS and the HIVE cloud for easy communication and data transfer between the SWARM device and scientists around the world. This research will help provide a cost-effective method to address the issue of collecting and transferring any type of small data without the Internet in isolated areas like the Arctic region.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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