@article{WeldenSchejaSchoeningetal.2018,
  author    = {Welden, Rene and Scheja, Sabrina and Sch{\"o}ning, Michael Josef and Wagner, Patrick and Wagner, Torsten},
  title     = {Electrochemical Evaluation of Light-Addressable Electrodes Based on TiO2 for the Integration in Lab-on-Chip Systems},
  series = {physica status solidi a : applications and materials sciences},
  volume    = {215},
  journal   = {physica status solidi a : applications and materials sciences},
  number    = {15},
  publisher = {Wiley-VCH},
  address   = {Weinheim},
  issn      = {1862-6319},
  doi       = {10.1002/pssa.201800150},
  pages     = {Article number 1800150},
  year      = {2018},
  abstract  = {In lab-on-chip systems, electrodes are important for the manipulation (e.g., cell stimulation, electrolysis) within such systems. An alternative to commonly used electrode structures can be a light-addressable electrode. Here, due to the photoelectric effect, the conducting area can be adjusted by modification of the illumination area which enables a flexible control of the electrode. In this work, titanium dioxide based light-addressable electrodes are fabricated by a sol-gel technique and a spin-coating process, to deposit a thin film on a fluorine-doped tin oxide glass. To characterize the fabricated electrodes, the thickness, and morphological structure are measured by a profilometer and a scanning electron microscope. For the electrochemical behavior, the dark current and the photocurrent are determined for various film thicknesses. For the spatial resolution behavior, the dependency of the photocurrent while changing the area of the illuminated area is studied. Furthermore, the addressing of single fluid compartments in a three-chamber system, which is added to the electrode, is demonstrated.},
  language  = {en}
}
@article{MichauxMatternKallweit2018,
  author    = {Michaux, F. and Mattern, P. and Kallweit, Stephan},
  title     = {RoboPIV: how robotics enable PIV on a large industrial scale},
  series = {Measurement Science and Technology},
  volume    = {29},
  journal   = {Measurement Science and Technology},
  number    = {7},
  publisher = {IOP},
  address   = {Bristol},
  issn      = {1361-6501},
  doi       = {10.1088/1361-6501/aab5c1},
  pages     = {074009},
  year      = {2018},
  abstract  = {This work demonstrates how the interaction between particle image velocimetry (PIV) and robotics can massively increase measurement efficiency. The interdisciplinary approach is shown using the complex example of an automated, large scale, industrial environment: a typical automotive wind tunnel application. Both the high degree of flexibility in choosing the measurement region and the complete automation of stereo PIV measurements are presented. The setup consists of a combination of three robots, individually used as a 6D traversing unit for the laser illumination system as well as for each of the two cameras. Synchronised movements in the same reference frame are realised through a master-slave setup with a single interface to the user. By integrating the interface into the standard wind tunnel management system, a single measurement plane or a predefined sequence of several planes can be requested through a single trigger event, providing the resulting vector fields within minutes. In this paper, a brief overview on the demands of large scale industrial PIV and the existing solutions is given. Afterwards, the concept of RoboPIV is introduced as a new approach. In a first step, the usability of a selection of commercially available robot arms is analysed. The challenges of pose uncertainty and importance of absolute accuracy are demonstrated through comparative measurements, explaining the individual pros and cons of the analysed systems. Subsequently, the advantage of integrating RoboPIV directly into the existing wind tunnel management system is shown on basis of a typical measurement sequence. In a final step, a practical measurement procedure, including post-processing, is given by using real data and results. Ultimately, the benefits of high automation are demonstrated, leading to a drastic reduction in necessary measurement time compared to non-automated systems, thus massively increasing the efficiency of PIV measurements.},
  language  = {en}
}
@inproceedings{SchulzeMuehleisenFeyerl2018,
  author    = {Schulze, Sven and M{\"u}hleisen, M. and Feyerl, G{\"u}nter},
  title     = {Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology},
  series = {18. Internationales Stuttgarter Symposium. Proceedings},
  booktitle = {18. Internationales Stuttgarter Symposium. Proceedings},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  doi       = {10.1007/978-3-658-21194-3},
  pages     = {75 -- 89},
  year      = {2018},
  language  = {en}
}
@article{JildehOberlaenderKirchneretal.2018,
  author    = {Jildeh, Zaid B. and Oberl{\"a}nder, Jan and Kirchner, Patrick and Wagner, Patrick H. and Sch{\"o}ning, Michael Josef},
  title     = {Thermocatalytic Behavior of Manganese (IV) Oxide as Nanoporous Material on the Dissociation of a Gas Mixture Containing Hydrogen Peroxide},
  series = {Nanomaterials},
  volume    = {8},
  journal   = {Nanomaterials},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2079-4991},
  doi       = {10.3390/nano8040262},
  pages     = {Artikel 262},
  year      = {2018},
  abstract  = {In this article, we present an overview on the thermocatalytic reaction of hydrogen peroxide (H₂O₂) gas on a manganese (IV) oxide (MnO₂) catalytic structure. The principle of operation and manufacturing techniques are introduced for a calorimetric H₂O₂ gas sensor based on porous MnO₂. Results from surface analyses by X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM) of the catalytic material provide indication of the H₂O₂ dissociation reaction schemes. The correlation between theory and the experiments is documented in numerical models of the catalytic reaction. The aim of the numerical models is to provide further information on the reaction kinetics and performance enhancement of the porous MnO₂ catalyst.},
  language  = {en}
}
@inproceedings{JarkeGebhardtJacobsetal.1996,
  author    = {Jarke, Matthias and Gebhardt, Michael and Jacobs, Stephan and Nissen, Hans W.},
  title     = {Conflict analysis across heterogeneous viewpoints: formalization and visualization},
  series = {Proceedings of the 29th Annual Hawaii International Conference on System Sciences},
  booktitle = {Proceedings of the 29th Annual Hawaii International Conference on System Sciences},
  isbn      = {0-8186-7324-9},
  doi       = {10.1109/HICSS.1996.493191},
  pages     = {199 -- 208},
  year      = {1996},
  language  = {en}
}
@inproceedings{SchollSuderSchiffer2018,
  author    = {Scholl, Ingrid and Suder, Sebastian and Schiffer, Stefan},
  title     = {Direct Volume Rendering in Virtual Reality},
  series = {Bildverarbeitung f{\"u}r die Medizin 2018},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
  publisher = {Springer Vieweg},
  address   = {Berlin},
  isbn      = {978-3-662-56537-7},
  doi       = {10.1007/978-3-662-56537-7_79},
  pages     = {297 -- 302},
  year      = {2018},
  language  = {en}
}
@article{SchirraBissonnetteBramesfeld2018,
  author    = {Schirra, Julian and Bissonnette, William and Bramesfeld, G{\"o}tz},
  title     = {Wake-model effects on induced drag prediction of staggered boxwings},
  series = {Aerospace},
  volume    = {5},
  journal   = {Aerospace},
  number    = {1},
  issn      = {2226-4310},
  doi       = {10.3390/aerospace5010014},
  year      = {2018},
  language  = {en}
}
@article{Dikta2017,
  author    = {Dikta, Gerhard},
  title     = {Semi-parametric random censorship models},
  series = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  journal   = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-50986-0},
  doi       = {10.1007/978-3-319-50986-0_3},
  pages     = {43 -- 56},
  year      = {2017},
  language  = {en}
}
@article{DruckenmuellerGuentherElbers2018,
  author    = {Druckenm{\"u}ller, Katharina and G{\"u}nther, Klaus and Elbers, Gereon},
  title     = {Near-infrared spectroscopy (NIRS) as a tool to monitor exhaust air from poultry operations},
  series = {Science of the Total Environment},
  volume    = {630},
  journal   = {Science of the Total Environment},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0048-9697},
  doi       = {10.1016/j.scitotenv.2018.02.072},
  pages     = {536 -- 543},
  year      = {2018},
  abstract  = {Intensive poultry operation systems emit a considerable volume of inorganic and organic matter in the surrounding environment. Monitoring cleaning properties of exhaust air cleaning systems and to detect small but significant changes in emission characteristics during a fattening cycle is important for both emission and fattening process control. In the present study, we evaluated the potential of near-infrared spectroscopy (NIRS) combined with chemometric techniques as a monitoring tool of exhaust air from poultry operation systems. To generate a high-quality data set for evaluation, the exhaust air of two poultry houses was sampled by applying state-of-the-art filter sampling protocols. The two stables were identical except for one crucial difference, the presence or absence of an exhaust air cleaning system. In total, twenty-one exhaust air samples were collected at the two sites to monitor spectral differences caused by the cleaning device, and to follow changes in exhaust air characteristics during a fattening period. The total dust load was analyzed by gravimetric determination and included as a response variable in multivariate data analysis. The filter samples were directly measured with NIR spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA), and factor analysis (FA) were effective in classifying the NIR exhaust air spectra according to fattening day and origin. The results indicate that the dust load and the composition of exhaust air (inorganic or organic matter) substantially influence the NIR spectral patterns. In conclusion, NIR spectroscopy as a tool is a promising and very rapid way to detect differences between exhaust air samples based on still not clearly defined circumstances triggered during a fattening period and the availability of an exhaust air cleaning system.},
  language  = {en}
}
@book{Huening2018,
  author    = {H{\"u}ning, Felix},
  title     = {Embedded Design For IoT With Renesas Synergy},
  publisher = {Renesas Electronics},
  address   = {D{\"u}sseldorf},
  pages     = {143 S.},
  year      = {2018},
  language  = {en}
}