Adventures in Iceberg Mapping
Notice bibliographique
Résumé
In May of 2011, the Canadian Ice Service, funded their first ever under-iceberg AUV-based mapping initiative. The Canadian Ice Service’s mission is to provide the most timely and accurate information on ice conditions in Canada’s navigable waters. The service provides radar imagery, ice bulletins, tracking of icebergs, modeling, ice coverage graphs and a host of other products to support activities such as tourism, shipping, commercial fishing and the oil and gas industry. The goal established was to map the same iceberg twice – early and again late in the summer season. Calculations of ice volume and roughness from the data would help forecast models of iceberg melt and scour. The team embarked aboard the Canadian Icebreaker Amundsen on July 18, mobilizing the entire effort in just over 2 months. The AUV was operated inverted, to allow for proper orientation of the sonar, and on a tether to allow for recovery of the AUV in the event of mission abort. To augment the AUV data, the University of New Brunswick, was enlisted to operate an EM3002 with a 40-degree side mount. This system was used to map the periphery of the berg prior to AUV operations. In addition ground penetrating radar measurements were made of the thickness of the iceberg from its surface. The iceberg found, in the truncated window allotted for search, was far larger and deeper than could be practiced during shakedown operations. Sadly, the depths required for operation, exceeding 120 m, were too deep for AUV operations with the tether. A frustrating 8 hours of attempts were executed with little data collected. None-the-less, the EM3002 dataset and GPR measurements, combined with aerial photography and the choice of a tabular iceberg provided an adequate data set for volume and roughness estimates. The iceberg was tracked with GPS/Iridium beacons through July and August. It disintegrated almost entirely in September preventing its revisiting in October. The Canadian Ice Service enlisted the AUV team to attempt a second go at under-iceberg mapping in October to resolve issues from the July cruise leg. This mission was far more successful and proved quite promising for future attempts. Presenter Bio Val Schmidt is pursuing a Ph.D. in Ocean Engineering under professors Chris d'Moustier and Larry Mayer. Before coming to CCOM, Val served in the US Submarine Service aboard the USS HAWKBILL (SSN-666). In this capacity, Val participated in two dedicated science ("SCICEX") missions to the Arctic in 1998 and 1999. He has since worked for Qwest Communications developing applications for Voice Over IP technologies and more recently as a research engineer for the Lamont-Doherty Earth Observatory where he built instrumentation, installed navigation and communications systems, and designed data systems for oceanographic research ships. Val is the lead author of the MB-System Cookbook. The Cookbook provides documentation for the open source swath mapping data processing suite. He also co-developed SWAP - the "Ship-to-Ship Wireless Access Protocol" - a wireless mesh-networking system for the UNOLS oceanographic research fleet. Val has a terrific and beautiful wife, Alice and a mean cat, Kokua.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,031 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».