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Cover of ERCIM News 133

ERCIM News 133

April 2023

Special theme Data Infrastructures and Management

Guest editors Manolis Terrovitis (ATHENA RC) and Dominik Ślęzak (University of Warsaw)

PDF of ERCIM News 133 ePub of ERCIM News 133 52 pages

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Dealing with UAV-downwash Effects during Airborne Detection of Localised Gas Plumes

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Category: Research and Innovation
Published: 28 April 2023
Hits: 5116

by Philip Taupe (AIT Austrian Institute of Technology), Martin Litzenberger (AIT Austrian Institute of Technology), Dieter Rothbacher (CBRN Protection GmbH) and David Monetti (Skyability GmbH)

Unmanned Aerial Vehicle (UAV)-borne gas detection and measurement can drastically reduce operational risks for the involved first responders in scenarios where hazardous gases may be present, e.g. accidents in industrial plants or gas leaks/accumulations in urban settings. However, measurement accuracy and detection abilities of gas sensors can be severely affected by the UAV’s rotor downwash, thus leading to erroneously low gas-concentration readings. We have investigated the applicability and operational parameters of probing tubes extending from under the UAV to escape downwash effects and thereby improve measurement results.

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Documenting Data and Knowledge about Feminisms and Politics in the Interwar Balkans with Synthesis-Core

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Category: Research and Innovation
Published: 28 April 2023
Hits: 2933

by Pavlos Fafalios, Lida Charami (FORTH-ICS) and Katerina Dalakoura (University of Crete)

The project FE.P.I.B., hosted by the University of Crete and funded by the Hellenic Foundation for Research and Innovation (HFRI), explores the contacts, relationships and cooperation between the feminist/women's organisations of the Balkan and Central European countries, and particularly the entanglement of their emancipatory policies with the politics in the region during the interwar period. Researchers of FE.P.I.B. collaborate with the Centre for Cultural Informatics of FORTH-ICS for exploiting the information system Synthesis-Core as the project's data and knowledge management platform.

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Survival Skills in the Digital Era: Helping Teachers to Develop Digital Competences

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Category: Research and Innovation
Published: 28 April 2023
Hits: 2273

by Angela Fessl and Katharina Maitz (TU Graz), Monica Divitini (NTNU)

Digital technologies have a great potential in supporting teaching practices. However, as also experienced during the COVID-19 pandemic, many teachers lack both the training and support they need to effectively use technologies in class or lecture halls. The DIGIVID project addresses this challenge with a system providing a comprehensive curriculum accessible through an innovative learning tool.

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Digital Battery Passports for a Circular Economy

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Category: Research and Innovation
Published: 28 April 2023
Hits: 4144

by Veronika Siska (Austrian Institute of Technology) and Theresa Schredelseker (University of Duisburg-Essen)

The digital battery passport is an essential driver of sustainable production and circular economy by storing and tracking data for batteries throughout their life cycles. The BatWoMan project is paving the way towards carbon-neutral Li-ion battery cell production via new sustainable and cost-efficient methods, and by building a prototype for a digital battery passport.

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Remote Sensing: Detecting and Tracking Vehicles on Satellite Images and Videos

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Category: Research and Innovation
Published: 28 April 2023
Hits: 9233

by Josiane Zerubia and and Louis Hauseux (Inria)

Remote sensing present various interests for civilian and military applications: automatic traffic monitoring, driving behavioral research, surveillance, etc. We work on images taken by satellite. This particular type of data has specific characteristics, quite different from those obtained by other aerial sensors (drones, planes, high-altitude balloons). The new Pléiades Neo satellites have high native resolution (i.e. without algorithmic processing) of 0.30 meter per pixel; and an impressive swath (photograph’s width) of 14 kilometers.  These technical characteristics make classical shape-based detection methods unsatisfactory.

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Articles in the Special Theme and Research and Innovation sections are referenced by DBLP.

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