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Enregistrement W4404688906 · doi:10.1109/oceans55160.2024.10753815

Real-Time, Year-Round, Cross-Arctic Observations Integrating Three Complementary Technologies into Submarine Telecommunication Cables

2024· article· en· W4404688906 sur OpenAlex

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Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEngineering and Test Systems
Établissements canadiensOcean Networks Canada Society
Organismes subventionnairesnon disponible
Mots-clésSubmarineTelecommunicationsArcticComputer scienceThe arcticEngineeringMarine engineeringGeologyOceanography

Résumé

récupéré en direct d'OpenAlex

On-going geopolitical concerns in Eastern and Northern Europe are raising the awareness of the risks to key infrastructure including intercontinental Internet access. To address such concerns mitigation measures considered include adding redundant access paths to eastern Asia, in addition to those in place today. An approach being considered are Arctic ocean-crossing submarine telecommunication cables. This route shortens the distance (i. e., time) between Europe and Asia and because of the dearth of cables in the Arctic, additional applications such as monitoring the environment along the path are under consideration. This contribution highlights three different environmental sensing technologies that can be associated with a submarine telecommunication cable, and particularly with one crossing the entire Arctic Ocean. The first method consists of sensors in repeaters that are components of the submarine telecommunication cable and placed every 100 km or so. The possible sensors must have long design lives, to provide reliable temperature, pressure and accelerometer data in real time. This is the concept of SMART cables, a concept promoted for over a decade by the ocean research community and now enjoying its first initial implementations with two systems to be deployed in 2026 in the Pacific and Atlantic respectively, following an on-going test in the Mediterranean. SMART cables are now recognized as an emerging network of GOOS, the Global Ocean Observing System. The second method uses recent developments in distributed acoustic sensing (DAS), a method that can precisely pinpoint changes in the strain of an optical fibre by illuminating it with short laser pulses and “interrogating” the reflected signal to measure changes over time and quantify vibrations. This method has been demonstrated to work well over fibre lengths spanning over 100 km. On-going developments by Alcatel Submarine Networks will allow the concept to be generalized on longer cables by providing DAS over many 150 km cable segments, thereby allowing acoustic/seismic sensing in real-time along thousands of kilometres of cable. The third method adds branching units and spur cables along the main route of the telecom cable that feed power and communication capabilities to instrument platforms. This method has been demonstrated for almost 20 years with the Ocean Networks Canada's VENUS and NEPTUNE observatories, and with the US Ocean Observatory Initiative's Regional Cabled Array in the Pacific Ocean. In the case of an Arctic crossing cable, given the need to re-power it mid-way to enable its repeaters over such a large distance, a branch of F the main cable needs to land in a northern community where a shore station provides additional power. This shore station also provides a point of presence for adding network routes to North America. Each branching unit and spur would host nodes with a complex array of instruments and sensors, similar to the NEPTUNE observatory that supports research in many ocean disciplines. The three approaches are complementary: the SMART cable provides accurate data at specific points along the cable. The DAS-enabled cable provides sensing of strain at some level of sensitivity but at a high spatial resolution along the cable. The branching unit-and-spur approach allows for the support of the broadest range of Arctic science disciplines as the nodes can support any and all types of underwater fixed and mobile platforms with sensors for marine biology, ocean chemistry, physical oceanography, geophysics and sensors for hazard alerting (tsunami and earthquakes). The common benefit of all of these approaches are their real-time capabilities.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,774
Score d'incertitude au seuil0,645

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,263
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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