Tele-operated ecological monitoring at the seafloor observatory (OBSEA)
Notice bibliographique
Résumé
The development of new cabled oceanographic observatories is becoming of extreme importance to monitor in real-time a continuously changing environment. In this context, a local coastal network of fxed and mobile videomonitoring platforms was created at the OBSEA (www.obsea.es; [1]) as European Multidisciplinary Seafoor and water column Observatory EMSO Testing-Site [2]. The cabled platform is located 4 km ofshore of Vilanova i la Geltrú coast (Barcelona, Spain), at a depth of 20 m. The observatory has been used to install a network of cameras including OBSEA fxed camera, plus a movable satellite tripod. Also, a mobile camera will be installed on an Internet Operated Vehicle (IOV), as a coastal crawler. These tele-operated vehicles are being used by marine scientists, to carry out multiparametric environmental studies (via the diversifed set of oceanographic and geochemical sensors) centered on faunal monitoring via imaging. As far as cabled seafoor observatories (and also OBSEA) are not able to move and their data collection capability is limited, it was decided to expand the monitoring capacity of the OBSEA, by connecting it to a new costal crawler. This crawler is a modifed prototype of the “Wally” platform series, which is operating at the Ocean Networks Canada (ONC; www.oceannetworks. ca) since 2010 [3]. This coastal crawler will be used to perform back and forth video transects between the fxed OBSEA camera and its satellite tripod camera (80 m away), to analyze the possible efect of environmental heterogeneity on the perceived fsh community abundance and composition. This will also allow scaling the biodiversity gathered data over a larger and more ecologicallyrepresentative area. In this scenario, we aim to present the technological design and specifcations of the modifed coastal crawler (Fig. 1). A mobile camera (1) in a glass sphere (rated for 3000 m depth) with 360° pan and 180° tilt operability has been installed, to allow the operator to perform SCUBA divers as visual census transects, by looking forward during transect progression, widening the visual feld with panoramic sweeps when needed. The tracks (2) are independent parts allowing to scale the inner part of the vehicle simply by mounting a broader main plait. The chains are made of rubber with embedded steel. Each track is driven by a powerful DC motor with a reduction gear of 989:1. The motor housings are pressure compensated by fuid flling. The junction cylinder (3) contents the driving electronics and an Ethernet switch to connect the camera and the control cylinder to the main communication cable. This housing can variate in material and dimensions to allow its use at diferent depths. The main cable (4) is a of special underwater Ethernet foating type to avoid problems like seabed abrasion and platform entanglement. A control cylinder (5) is used for controlling the crawler and the camera, providing power from the junction cylinder to supply motors. Finally, there are two 12V, 3W lights (6) that can turn on for flming at night.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
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 ».