Notice bibliographique
Résumé
Underwater vehicle development in Canada has been underway for more than 40 years. Most of this work has been carried out in British Columbia. The developments include Manned Submersibles, ROVs and AUVs. The user of these vehicles includes offshore petroleum, telephone cable maintenance, science, surveying, salvage, and military. The enabling technologies for these integrations are mature. Today, some services may not be provided by relevant agencies with marine missions worldwide as they are short of the funding needed to discharge duties. There is the constant lament that there are not enough ships, people, or hardware. Perhaps if we are smart enough we can accomplish a portion of these tasks using advanced technology which may be considered today to be unconventional wisdom - namely robotics. Some may observe that many types of underwater vehicles already exist, or at least subsets exist. Therefore, some might wonder if they are any good and why are not more people using them? The reasons are that there is confusion regarding where to establish the boundary conditions for proper comparisons of performance. Also, all the potential vehicle integrations have not been fielded. An important aspect of acceptance limiting the use of vehicles is represented by the changes required in personnel establishment and training. We are in a period of transition and in these transitional periods false starts can be expected as the vision of the customer and the supplier is not necessarily clear because of lack of hands on experience. We sometimes see this lack of experience manifested in specifications which describe impossible-to-build vehicles. This paper presents the use of existing integrations which have contributed to the development of hybrid vehicles. This contributes to the capability to integrate systems to acquire the data to support the acquisition of data for the submission to the Internal Sea Bed Authority in accordance with Article 76. Article 76 provides instructions regarding how coastal states to exercise sovereign rights beyond the customary 200 nautical mile limit. The procedures for defining the outer limits of extended jurisdiction are based upon bathymetric and geological criteria. The procedures impose requirements to assemble, manipulate, visualize, and analyze a wide range of information in an accurate and well-documented fashion that is consistent with the reporting requirements of the International Seabed Authority. Underwater vehicles will be used to obtain some of the information required.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».