@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} } @article{PilasYaziciSelmeretal.2018, author = {Pilas, Johanna and Yazici, Y. and Selmer, Thorsten and Keusgen, M. and Sch{\"o}ning, Michael Josef}, title = {Application of a portable multi-analyte biosensor for organic acid determination in silage}, series = {Sensors}, volume = {18}, journal = {Sensors}, number = {5}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {10.3390/s18051470}, pages = {12 Seiten}, year = {2018}, abstract = {Multi-analyte biosensors may offer the opportunity to perform cost-effective and rapid analysis with reduced sample volume, as compared to electrochemical biosensing of each analyte individually. This work describes the development of an enzyme-based biosensor system for multi-parametric determination of four different organic acids. The biosensor array comprises five working electrodes for simultaneous sensing of ethanol, formate, d-lactate, and l-lactate, and an integrated counter electrode. Storage stability of the biosensor was evaluated under different conditions (stored at +4 °C in buffer solution and dry at -21 °C, +4 °C, and room temperature) over a period of 140 days. After repeated and regular application, the individual sensing electrodes exhibited the best stability when stored at -21 °C. Furthermore, measurements in silage samples (maize and sugarcane silage) were conducted with the portable biosensor system. Comparison with a conventional photometric technique demonstrated successful employment for rapid monitoring of complex media.}, language = {en} } @article{DantismRoehlenWagneretal.2018, author = {Dantism, Shahriar and R{\"o}hlen, Desiree and Wagner, Torsten and Wagner, Patrick and Sch{\"o}ning, Michael Josef}, title = {Optimization of Cell-Based Multi-Chamber LAPS Measurements Utilizing FPGA-Controlled Laser-Diode Modules}, 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.201800058}, pages = {Article number 1800058}, year = {2018}, abstract = {A light-addressable potentiometric sensor (LAPS) is a field-effect-based potentiometric device, which detects concentration changes of an analyte solution on the sensor surface in a spatially resolved way. It uses a light source to generate electron-hole pairs inside the semiconductor, which are separated in the depletion region due to an applied bias voltage across the sensor structure and hence, a surface-potential-dependent photocurrent can be read out. However, depending on the beam angle of the light source, scattering effects can occur, which influence the recorded signal in LAPS-based differential measurements. To solve this problem, a novel illumination unit based on a field programmable gate array (FPGA) consisting of 16 small-sized tunable infrared laser-diode modules (LDMs) is developed. Due to the improved focus of the LDMs with a beam angle of only 2 mrad, undesirable scattering effects are minimized. Escherichia coli (E. coli) K12 bacteria are used as a test microorganism to study the extracellular acidification on the sensor surface. Furthermore, a salt bridge chamber is built up and integrated with the LAPS system enabling multi-chamber differential measurements with a single Ag/AgCl reference electrode.}, language = {en} }