Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Martin Kober"'
Autor:
Julian Schwab, Christopher Fritscher, Michael Filatov, Martin Kober, Frank Rinderknecht, Tjark Siefkes
Publikováno v:
Energies, Vol 16, Iss 10, p 4145 (2023)
It is estimated that 72% of the worldwide primary energy consumption is lost as waste heat. Thermoelectric Generators (TEGs) are a possible solution to convert a part of this energy into electricity and heat for space heating. However, for their depl
Externí odkaz:
https://doaj.org/article/a42dd6eca154421fb2860f9c444a6e68
Autor:
Julian Schwab, Markus Bernecker, Saskia Fischer, Bijan Seyed Sadjjadi, Martin Kober, Frank Rinderknecht, Tjark Siefkes
Publikováno v:
Energies, Vol 15, Iss 10, p 3502 (2022)
The residential heating sector accounts for a large share of the worldwide annual primary energy consumption. In order to reduce CO2-emissions, it is therefore particularly important to analyse this sector for potential efficiency improvements. In Eu
Externí odkaz:
https://doaj.org/article/1e1d5b4e216b4c4da27043e0cf7868ea
Publikováno v:
Frattura ed Integrità Strutturale, Vol 11, Iss 42 (2017)
Nowadays lifetime calculation in the high cycle fatigue region is commonly based on S/N curves which are modified by different influences to ensure accurate results. Especially the application of these models is important when small components with c
Externí odkaz:
https://doaj.org/article/c23887ba51454855b256d5bd0c9f23b6
Publikováno v:
Journal of Statistical Software, Vol 50, Iss 10 (2012)
Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency. Spherical k-means clustering is one approach to address both issues, empl
Externí odkaz:
https://doaj.org/article/3ddfb3df2b8a4ae2bacb510866f52b2f
Autor:
Sven Warter, Christian Laubichler, Constantin Kiesling, Martin Kober, Andreas Wimmer, Marco Coppo, Danilo Laurenzano, Claudio Negri
Publikováno v:
SAE Technical Paper Series.
Digital technologies are capable of making a significant contribution to improving large internal combustion engine technology. In particular, methods from the field of artificial intelligence are opening up new avenues. So-called “intelligent” e
Autor:
Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106337
State-of-the-art methods for quantifying wear in cylinder liners of large internal combustion engines require disassembly and cutting of the liner. This is followed by laboratory-based high-resolution microscopic surface depth measurement that quanti
Autor:
Siefkes, Julian Schwab, Markus Bernecker, Saskia Fischer, Bijan Seyed Sadjjadi, Martin Kober, Frank Rinderknecht, Tjark
Publikováno v:
Energies; Volume 15; Issue 10; Pages: 3502
The residential heating sector accounts for a large share of the worldwide annual primary energy consumption. In order to reduce CO2-emissions, it is therefore particularly important to analyse this sector for potential efficiency improvements. In Eu
Publikováno v:
Journal of Electronic Materials. 49:2902-2909
Current research has led to a significant improvement at the system level of thermoelectric generators (TEG) for automotive applications. The previously low power density could be increased considerably up to 267 W/kg and 478 W/dm3. In addition, the
Publikováno v:
Marine Engineering. 55:91-99
Autor:
Sebastian Waldherr, Miriam Hils, Martin Köberle, Knut Brockow, Ulf Darsow, Simon Blank, Tilo Biedermann, Bernadette Eberlein
Publikováno v:
BMC Immunology, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Flow cytometry-based basophil activation tests (BAT) have been performed with various modifications, differing in the use of distinct identification and activation markers. Established tests use liquid reagents while a new develop
Externí odkaz:
https://doaj.org/article/e6eb1ba3e83f4ef2bdf01a7526710c7e