Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Franz Papst"'
Autor:
Lena Lemmens, Katharina Schodl, Birgit Fuerst-Waltl, Hermann Schwarzenbacher, Christa Egger-Danner, Kristina Linke, Marlene Suntinger, Mary Phelan, Martin Mayerhofer, Franz Steininger, Franz Papst, Lorenz Maurer, Johann Kofler
Publikováno v:
Animals, Vol 13, Iss 7, p 1180 (2023)
This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30–42 days from January 2020 to M
Externí odkaz:
https://doaj.org/article/d3e133ea069c43078751517f95ce01f3
Publikováno v:
2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI).
Publikováno v:
SenSys
Low-cost sensors are extensively used in numerous Internet of Things (IoT) applications to measure relevant physical processes. Today, processing context data is increasingly done by proprietary algorithms tuned to a specific use-case, e.g., a sensor
Publikováno v:
DCOSS
The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality, and how much pollution reduction can the society offer through digitalization and mobility-limiti
Autor:
Franz Papst
Publikováno v:
SenSys
Machine learning has a lot of potential when applied to time series sensor data, yet a lot of this potential is currently not utilized, due to privacy concerns of parties in charge of this data. In this work I want to apply privacy-preserving techniq
Publikováno v:
SenSys
In this work, we show that sensor data may leak a sensor's location even if the latter is not explicitly included in the data set. The sensors are localized by linking sensor data, in particular activity data, with publicly available environmental da
Autor:
Olga Saukh, Franz Papst, Igor Jakovljevic, Florian Grandl, Christa Egger-Danner, Jürgen Duda, Kay Römer, Franz Steininger, M. Mayerhofer
Publikováno v:
TU Graz
IOT
IOT
Today's herd management undergoes a major transformation triggered by the penetration of cheap sensor solutions into cattle farms, and the promise of predictive analytics to detect animal health issues and product-related problems before they occur.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8917c641344aedf2fce7507888661b71
https://graz.pure.elsevier.com/en/publications/embracing-opportunities-of-livestock-big-data-integration-with-privacy-constraints(41e8b02e-0f31-465e-9abd-b56f33b73880).html
https://graz.pure.elsevier.com/en/publications/embracing-opportunities-of-livestock-big-data-integration-with-privacy-constraints(41e8b02e-0f31-465e-9abd-b56f33b73880).html
Publikováno v:
TU Graz
SmartGridComm
SmartGridComm
The rise of distributed energy generation technologies along with grid constraints, and conventional non-consumer centric business models, is leading many to explore alternative configurations of the energy system. Particularly popular are peer-to-pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed8e00288b6e49d9911f57e13048fd16
https://graz.pure.elsevier.com/en/publications/synchronization-games-in-p2p-energy-trading(6ec4ffd4-6bc3-44f0-83d3-b2b15420a7cd).html
https://graz.pure.elsevier.com/en/publications/synchronization-games-in-p2p-energy-trading(6ec4ffd4-6bc3-44f0-83d3-b2b15420a7cd).html