Proceedings of the third ACM international workshop on Underwater Networks
Bibliographic record
Abstract
Welcome to the Third International Workshop on Underwater Networks (WUWNet'08). Underwater Networking is an emerging area of research, which has a profound impact on many civilian and military applications including environmental monitoring, marine biology, earthquake detection, weather forecasting. Water systems are of vital importance to climate regulation, agriculture, nutrient production, oil retrieval and transportation, yet they represent one of the least explored frontiers. As such, there is significant interest in real-time, in-situ monitoring of aquatic environments for scientific, environmental, commercial, safety and military applications. Underwater networking has attracted strong attention in the recent few years. Although there is a long history of underwater acoustic communication, many new applications require networking of multiple nodes, either static or mobile, and potentially over multiple hops. The physical challenges of acoustic channel and the complexity of diverse aquatic environments require us to completely re-think network design for underwater environments. Some major challenges at the physical layer and higher layers include the severely limited range-dependent bandwidth and attenuation, extensive time-varying multi-path propagation, the low speed of sound in water that is five orders of magnitude less than that of radio waves in air. In addition, underwater nodes are neither inexpensive nor easy to deploy. These distinct features yield grand challenges to every layer of the protocol suite in underwater networks. The call for papers attracted 26 submissions from the United States, Singapore, Italy, Switzerland, Norway, Canada and Tunisia. The program committee accepted 10 full-length papers and 5 short papers (to be presented as posters). We are also delighted to include an invited speaker, Dr. Hanumant Singh, of the Woods Hole Oceanographic Institution. The papers cover a variety of topics in underwater communications, networking, and applications. Specifically, they address acoustic modem technology, methods for localization, network topology, energy efficiency, media access control, routing protocols, and deployment considerations. We hope these proceedings will serve as a valuable reference for users, engineers, and researchers interested in underwater networks. The goal of WUWNet is, in fact, to bring together researchers and practitioners in all areas relevant to underwater networks. Thus, all layers of the protocol stack, from the physical layer to application, will be represented. Its objective is to serve as a forum for presenting state of the art research, exchanging ideas and experiences, and facilitating interaction and collaboration.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.068 | 0.029 |
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".