@inproceedings{SildatkeKarwanniKraftetal.2020, author = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Schmidts, Oliver and Z{\"u}ndorf, Albert}, title = {Automated Software Quality Monitoring in Research Collaboration Projects}, series = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, booktitle = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1145/3387940.3391478}, pages = {603 -- 610}, year = {2020}, abstract = {In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.}, language = {en} } @misc{MartinFrauenrathZerdemetal.2011, author = {Martin, Conrad Steven and Frauenrath, Tobias and Zerdem, Celal and Renz, Wolfgang and Niendorf, Thoralf}, title = {Evaluation of Magneto Alert Sensor (MALSE) to Improve MR Safety by Decreasing the Incidence of Ferromagnetic Projectile Accidents}, series = {2011 ISMRM Annual Meeting Proceedings}, journal = {2011 ISMRM Annual Meeting Proceedings}, issn = {1545-4428}, year = {2011}, abstract = {The magnetic forces of fringe magnetic fields of MR systems on ferromagnetic components can impose a severe patient, occupational health and safety hazard. MRI accidents are listed as number 9 of the top 10 risks in modern medicine. With the advent of ultrahigh field MR systems including passively shielded magnet versions, this risk, commonly known as the missile or projectile effect is even more pronounced. A strategy employing magnetic field sensors which can be attached to ferromagnetic objects that are commonly used in a clinical environment is conceptually appealing for the pursuit of reducing the risk of ferromagnetic projectile accidents.}, language = {en} } @inproceedings{HoeflerKneerGrossetal.2015, author = {H{\"o}fler, M. and Kneer, R. and Groß, Rolf Fritz and Kehrmann, K.}, title = {Chemical determination of oxygen transfer rates, transfer efficiencies and interphases evoked by aeration elements for liquid flows}, series = {Computational Methods in Multiphase Flow VIII. - (WIT Transactions on Engineering Sciences ; Volume 89)}, booktitle = {Computational Methods in Multiphase Flow VIII. - (WIT Transactions on Engineering Sciences ; Volume 89)}, editor = {Vorobieff, P.}, publisher = {WIT Press}, address = {Southampton}, isbn = {978-1-84564-946-3 (Print-Ausgabe)}, issn = {1746-4471}, pages = {89 -- 101}, year = {2015}, language = {en} } @inproceedings{AugensteinHerbergsKuperjansetal.2005, author = {Augenstein, Eckardt and Herbergs, S. and Kuperjans, Isabel and Lucas, K.}, title = {Simulation of industrial energy supply systems with integrated cost optimization}, series = {Proceedings of ECOS 2005, the 18th International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems : Trondheim, Norway, June 20 - 22, 2005. - Vol. 2}, booktitle = {Proceedings of ECOS 2005, the 18th International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems : Trondheim, Norway, June 20 - 22, 2005. - Vol. 2}, editor = {Kjelstrup, Signe}, publisher = {Tapir Academic Press}, address = {Trondheim}, isbn = {82-519-2041-8}, pages = {627 -- 634}, year = {2005}, language = {en} } @inproceedings{AugensteinKuperjansLucas2002, author = {Augenstein, Eckardt and Kuperjans, Isabel and Lucas, K.}, title = {EUSEBIA - Decision-Support-System for Technical, Economical and Ecological Design and Evaluation of Industrial Energy Systems}, series = {ECOS 2002 : proceedings of the 15th International Conference on Efficiency, Costs, Optimization, Simulation and Environmental Impact of Energy Systems, Berlin, Germany July 3 - 5, 2002. - Vol. 1}, booktitle = {ECOS 2002 : proceedings of the 15th International Conference on Efficiency, Costs, Optimization, Simulation and Environmental Impact of Energy Systems, Berlin, Germany July 3 - 5, 2002. - Vol. 1}, editor = {Tsatsaronis,, Georgios}, publisher = {Techn. Univ., Inst. for Energy Engineering}, address = {Berlin}, isbn = {3-00-009533-0}, pages = {446 -- 453}, year = {2002}, language = {en} } @inproceedings{KumaranGopinathanRazalietal.2013, author = {Kumaran, P. and Gopinathan, M. and Razali, N. M. and Kuperjans, Isabel and Hariffin, B. and Hamdan, H.}, title = {Preliminary evaluation of atomization characteristics of improved biodiesel for gas turbine application}, series = {IOP Conference Series: Earth and Environmental Science (EES)}, volume = {16}, booktitle = {IOP Conference Series: Earth and Environmental Science (EES)}, number = {1}, publisher = {Institute of Physics Publishing (IOP)}, address = {London [u.a.]}, issn = {1755-1315}, doi = {10.1088/1755-1315/16/1/012014}, pages = {012014/1 -- 012014/4}, year = {2013}, language = {en} } @inproceedings{BirklDiendorferKernetal.2018, author = {Birkl, Josef and Diendorfer, Gerhard and Kern, Alexander and Thern, Stephan}, title = {Extremely high lightning peak currents}, series = {34th International Conference on Ligntning Protection, 02-07 September 2018}, booktitle = {34th International Conference on Ligntning Protection, 02-07 September 2018}, isbn = {978-1-5386-6635-7}, pages = {7 Seiten}, year = {2018}, language = {en} } @misc{FrauenrathDieringerPateletal.2011, author = {Frauenrath, Tobias and Dieringer, Matthias and Patel, Nishant and Zerdem, Celal and Hentschel, Jan and Renz, Wolfgang and Niendorf, Thoralf}, title = {From Artifact to Merit: Cardiac Gated MRI at 7T \& 3T using Magneto-Hydrodynamic Effects for Synchronization}, series = {2011 ISMRM Annual Meeting Proceedings}, journal = {2011 ISMRM Annual Meeting Proceedings}, issn = {1545-4428}, year = {2011}, abstract = {ECG is corrupted by magneto-hydrodynamic effects at higher magnetic field strength. Artifacts in the ECG trace and severe T-wave elevation might be mis-interpreted as R-waves. MHD being inherently sensitive to blood flow and blood velocity provides an alternative approach for cardiac gating, even in peripheral target areas far away from the commonly used upper torso positions of ECG electrodes. This feature would be very beneficial to address traveling time induced motion artifacts and trigger latency related issues raised by ECG-gated peripheral MR angiography. For all those reasons, this work proposes the use of MHD-trigger for cardiac gated MR.}, language = {en} } @misc{FrauenrathBeckerHezeletal.2010, author = {Frauenrath, Tobias and Becker, Meike and Hezel, Fabian and Krombach, Gabriele A. and Kremer, Ute and Schulz-Menger, Jeanette and Niendorf, Thoralf}, title = {Comparison of Left Function Assessment Using Phonocardiogram and Electrocardiogram Triggered 2D SSFP CINE MR Imaging at 1.5 T and 3.0 T}, series = {2010 ISMRM-ESMRMB joint annual meeting}, journal = {2010 ISMRM-ESMRMB joint annual meeting}, issn = {1545-4428}, year = {2010}, abstract = {As high-field cardiac MRI (CMR) becomes more widespread the propensity of ECG to distortions and mistriggering increases and with it the motivation for a cardiac triggering alternative. Hence, this study explores the suitability of acoustic cardiac triggering (ACT) for left ventricular (LV) function assessment in healthy subjects at 1.5T and 3.0T.}, language = {en} } @article{SattlerRoegerSchwarzboezletal.2020, author = {Sattler, Johannes Christoph and R{\"o}ger, Marc and Schwarzb{\"o}zl, Peter and Buck, Reiner and Macke, Ansgar and Raeder, Christian and G{\"o}ttsche, Joachim}, title = {Review of heliostat calibration and tracking control methods}, series = {Solar Energy}, volume = {207}, journal = {Solar Energy}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.solener.2020.06.030}, pages = {110 -- 132}, year = {2020}, abstract = {Large scale central receiver systems typically deploy between thousands to more than a hundred thousand heliostats. During solar operation, each heliostat is aligned individually in such a way that the overall surface normal bisects the angle between the sun's position and the aim point coordinate on the receiver. Due to various tracking error sources, achieving accurate alignment ≤1 mrad for all the heliostats with respect to the aim points on the receiver without a calibration system can be regarded as unrealistic. Therefore, a calibration system is necessary not only to improve the aiming accuracy for achieving desired flux distributions but also to reduce or eliminate spillage. An overview of current larger-scale central receiver systems (CRS), tracking error sources and the basic requirements of an ideal calibration system is presented. Leading up to the main topic, a description of general and specific terms on the topics heliostat calibration and tracking control clarifies the terminology used in this work. Various figures illustrate the signal flows along various typical components as well as the corresponding monitoring or measuring devices that indicate or measure along the signal (or effect) chain. The numerous calibration systems are described in detail and classified in groups. Two tables allow the juxtaposition of the calibration methods for a better comparison. In an assessment, the advantages and disadvantages of individual calibration methods are presented.}, language = {en} }