Connected Internet of Things for Monitoring and Tracking of Endangered Whales
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
Connected Internet of Things (CIoT) integrates Internet of Things (IoT) in different domains (e.g., spatial, aerial, terrestrial, and underwater). CIoT enables monitoring and tracking in remote and large geographic areas, such as the Earth's poles, forests, and oceans. In this article, we envision a CIoT system for the near-real-time monitoring of endangered whale species. In the envisioned system, very high-resolution images from satellites and Internet of CubeSats shall be used for the autonomous detection and location determination of endangered whales. The obtained locations shall be used to determine the trajectory of surface autonomous vessels that will temporarily deploy an Internet of aerial and underwater things for the near-real-time monitoring of detected whales. We discuss the main entities involved in the envisioned architecture, data flows, and communication paradigms needed to implement the proposed CIoT architecture and the challenges to empower the envisioned system. We also point out future research directions to be solved towards a CIoT system for whale monitoring.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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