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  • Ederer_et_al-Reducing_Underwater_Observation_Costs_by_leveraging_Cloud_Technology

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Reducing Underwater Observation Costs by leveraging Cloud Technology

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Forthcoming

Standard

Reducing Underwater Observation Costs by leveraging Cloud Technology. / Ederer, Thomas; Ivkic, Igor; Szlany, Wolfgang.
The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24). Springer Nature, 2024.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ederer, T, Ivkic, I & Szlany, W 2024, Reducing Underwater Observation Costs by leveraging Cloud Technology. in The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24). Springer Nature, 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24), Las Vegas , Nevada, United States, 11/12/24.

APA

Ederer, T., Ivkic, I., & Szlany, W. (in press). Reducing Underwater Observation Costs by leveraging Cloud Technology. In The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24) Springer Nature.

Vancouver

Ederer T, Ivkic I, Szlany W. Reducing Underwater Observation Costs by leveraging Cloud Technology. In The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24). Springer Nature. 2024

Author

Ederer, Thomas ; Ivkic, Igor ; Szlany, Wolfgang. / Reducing Underwater Observation Costs by leveraging Cloud Technology. The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24). Springer Nature, 2024.

Bibtex

@inproceedings{d6be1cad22634fb3a8ef97b88e816c7c,
title = "Reducing Underwater Observation Costs by leveraging Cloud Technology",
abstract = "Adequate protection of underwater habitats requires observations and studies of the affected areas over an extended period of time. Such observations may be conducted by humans (divers) or by robots, al- though their presence may affect the behaviour of the observed animals. The overall aim of this paper was to construct an underwater camera using available components and to evaluate its general applicability. The developed software enables the generation of two distinct video streams: one for local recording and another for embedding in a single-page ap- plication that also contains controls for modifying the camera settings from any location with an Internet connection. In addition to the video streams, the camera{\textquoteright}s status is accessible via a public interface, facilitating predictive maintenance through a service hosted by a cloud service provider. Using Commercial Off The Shelf (COTS) components, the camera took 7.25 hours to build, resulting in a total cost of 349.62 EUR.",
keywords = "Underwater Camera, Camera Architecture, Observation, Cloud",
author = "Thomas Ederer and Igor Ivkic and Wolfgang Szlany",
year = "2024",
month = oct,
day = "27",
language = "English",
booktitle = "The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24)",
publisher = "Springer Nature",
note = "11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24) ; Conference date: 11-12-2024 Through 13-12-2024",
url = "https://american-cse.org/index.html/",

}

RIS

TY - GEN

T1 - Reducing Underwater Observation Costs by leveraging Cloud Technology

AU - Ederer, Thomas

AU - Ivkic, Igor

AU - Szlany, Wolfgang

N1 - Conference code: 11

PY - 2024/10/27

Y1 - 2024/10/27

N2 - Adequate protection of underwater habitats requires observations and studies of the affected areas over an extended period of time. Such observations may be conducted by humans (divers) or by robots, al- though their presence may affect the behaviour of the observed animals. The overall aim of this paper was to construct an underwater camera using available components and to evaluate its general applicability. The developed software enables the generation of two distinct video streams: one for local recording and another for embedding in a single-page ap- plication that also contains controls for modifying the camera settings from any location with an Internet connection. In addition to the video streams, the camera’s status is accessible via a public interface, facilitating predictive maintenance through a service hosted by a cloud service provider. Using Commercial Off The Shelf (COTS) components, the camera took 7.25 hours to build, resulting in a total cost of 349.62 EUR.

AB - Adequate protection of underwater habitats requires observations and studies of the affected areas over an extended period of time. Such observations may be conducted by humans (divers) or by robots, al- though their presence may affect the behaviour of the observed animals. The overall aim of this paper was to construct an underwater camera using available components and to evaluate its general applicability. The developed software enables the generation of two distinct video streams: one for local recording and another for embedding in a single-page ap- plication that also contains controls for modifying the camera settings from any location with an Internet connection. In addition to the video streams, the camera’s status is accessible via a public interface, facilitating predictive maintenance through a service hosted by a cloud service provider. Using Commercial Off The Shelf (COTS) components, the camera took 7.25 hours to build, resulting in a total cost of 349.62 EUR.

KW - Underwater Camera

KW - Camera Architecture

KW - Observation

KW - Cloud

M3 - Conference contribution/Paper

BT - The 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24)

PB - Springer Nature

T2 - 11th Annual Conference on Computational Science & Computational Intelligence (CSCI'24)

Y2 - 11 December 2024 through 13 December 2024

ER -