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Per Gunnar Auran

Research Scientist

Per Gunnar Auran

Research Scientist

Per Gunnar Auran
Phone: 476 66 670
Department: Software Engineering, Safety and Security
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1683030

Big data technologies can play an important role in improving fishery operations. This paper presents an investigation of how smart data-driven services for fisheries can be identified and designed using a model-driven approach with Archimate 3.0 and the big data reference model from BDVA. The combi...

Year 2018
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1664321

The objective of WP3 Fishery Pilot is to demonstrate how Big Data can boost the fishery sector. The Fishery Pilot focus is on two separate types of fisheries in two countries: Oceanic Tuna fisheries in Spain and small Pelagic fisheries in Norway (13 million tons). Six separate pilot cases have been ...

Authors Quincoces Inaki Uriondo Zigor Aarsæther Karl Gunnar Fernandes Jose A. Nuñes Mario Dmitri Zmicjer Auran Per Gunnar Haugen Joakim Michelsen Finn Are Reite Karl Johan
Year 2018
Type Report/thesis
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1611943

The public deliverable “D6.5 - Pilot launch press release” provides a major DataBio press release. This press release announces the launch of the first pilot trials of the project and is to be used for wide dissemination to technical and non-technical audience. It is available in English, Italian, S...

Authors Konidi Mariza Rogotis Savvas Balestri Stefano Bartelds Nicole Habyarimana Ephrem Estrada Villegas Jesus Maria Lukas Vojtech Charvát jr Karel Cattuci Antonella Huurinainen Seppo Plosila Veli-Matti Zamarron Asun Roldan Lukes Petr Stenman Virpi Uriondo Zigor Aarsæther Karl Gunnar Quincoces Inaki Haugen Joakim Auran Per Gunnar Mildorf Tomas Bagnato Alessandra Ivanova Veneta
Year 2018
Type Report/thesis
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1602271

The goal of SMARTFISH H2020 is to develop, test and promote a suite of high-tech systems for the EU fishing sector, thereby optimising resource efficiency, improving automatic data collection for fish stock assessment, provide evidence of compliance with fishery regulations and reduce the ecological...

Year 2018
Type Report/thesis