TY - CHAP A1 - Blum, Yannik A1 - Albanna, Walid A1 - Benninghaus, Anne A1 - Kotliar, Konstantin ED - Staat, Manfred ED - Erni, Daniel T1 - Vasomotion in retinal vessels of patients presenting post hemorrhagic hydrocephalus following subarachnoid hemorrhage T2 - 3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen N2 - Clearance of blood components and fluid drainage play a crucial role in subarachnoid hemorrhage (SAH) and post hemorrhagic hydrocephalus (PHH). With the involvement of interstitial fluid (ISF) and cerebrospinal fluid (CSF), two pathways for the clearance of fluid and solutes in the brain are proposed. Starting at the level of capillaries, flow of ISF follows along the basement membranes in the walls of cerebral arteries out of the parenchyma to drain into the lymphatics and CSF [1]–[3]. Conversely, it is shown that CSF enters the parenchyma between glial and pial basement membranes of penetrating arteries [4]–[6]. Nevertheless, the involved structures and the contribution of either flow pathway to fluid balance between the subarachnoid space and interstitial space remains controversial. Low frequency oscillations in vascular tone are referred to as vasomotion and corresponding vasomotion waves are modeled as the driving force for flow of ISF out of the parenchyma [7]. Retinal vessel analysis (RVA) allows non-invasive measurement of retinal vessel vasomotion with respect to diameter changes [8]. Thus, the aim of the study is to investigate vasomotion in RVA signals of SAH and PHH patients. Y1 - 2019 SN - 978-3-940402-22-6 U6 - https://doi.org/10.17185/duepublico/48750 SP - 38 EP - 39 PB - Universität Duisburg-Essen CY - Duisburg ER - TY - CHAP A1 - Siebigteroth, Ines A1 - Kraft, Bodo A1 - Schmidts, Oliver A1 - Zündorf, Albert T1 - A Study on Improving Corpus Creation by Pair Annotation T2 - Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK-PS 2019) Y1 - 2019 SN - 1613-0073 SP - 40 EP - 44 ER - TY - JOUR A1 - Schopp, Christoph A1 - Britun, Nikolay A1 - Vorac, Jan A1 - Synek, Petr A1 - Snyders, Rony A1 - Heuermann, Holger T1 - Thermal and Optical Study on the Frequency Dependence of an Atmospheric Microwave Argon Plasma Jet JF - IEEE Transactions on Plasma Science Y1 - 2019 SN - 1939-9375 VL - 47 IS - 7 SP - 3176 EP - 3181 PB - IEEE CY - New York ER - TY - JOUR A1 - Kodomskoi, Leonid A1 - Kotliar, Konstantin A1 - Schröder, Andreas A1 - Weiss, Michael A1 - Hille, Konrad T1 - Suture-Probe Canaloplasty as an Alternative to Canaloplasty using the iTrack™ Microcatheter JF - Journal of Glaucoma Y1 - 2019 U6 - https://doi.org/10.1097/IJG.0000000000001321 SN - 1057-0829 IS - Epub ahead of print PB - Lippincott Williams & Wilkins CY - Philadelphia ER - TY - JOUR A1 - Valero, Daniel A1 - Chanson, Hubert A1 - Bung, Daniel Bernhard T1 - Robust estimators for turbulence properties assessment Y1 - 2019 SP - 1 EP - 24 ER - TY - JOUR A1 - Noureddine, Yacine A1 - Kraff, Oliver A1 - Ladd, Mark E. A1 - Wrede, Karsten A1 - Chen, Bixia A1 - Quick, Harald H. A1 - Schaefers, Georg A1 - Bitz, Andreas T1 - Radiofrequency induced heating around aneurysm clips using a generic birdcage head coil at 7 Tesla under consideration of the minimum distance to decouple multiple aneurysm clips JF - Magnetic Resonance in Medicine Y1 - 2019 U6 - https://doi.org/10.1002/mrm.27835 SN - 1522-2594 IS - Early view SP - 1 EP - 17 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Dantism, Shahriar A1 - Röhlen, Desiree A1 - Selmer, Thorsten A1 - Wagner, Torsten A1 - Wagner, Patrick A1 - Schöning, Michael Josef T1 - Quantitative differential monitoring of the metabolic activity of Corynebacterium glutamicum cultures utilizing a light-addressable potentiometric sensor system JF - Biosensors and Bioelectronics Y1 - 2019 U6 - https://doi.org/10.1016/j.bios.2019.111332 VL - 139 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Claer, Mario A1 - Ferrein, Alexander A1 - Schiffer, Stefan T1 - Calibration of a Rotating or Revolving Platform with a LiDAR Sensor JF - Applied Sciences Y1 - 2019 U6 - https://doi.org/10.3390/app9112238 SN - 2076-3417 VL - Volume 9 IS - issue 11, 2238 PB - MDPI CY - Basel ER - TY - CHAP A1 - Steinbauer, Gerald A1 - Ferrein, Alexander T1 - CogRob 2018 : Cognitive Robotics Workshop. Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018). Tempe, AZ, USA, October 27th, 2018. T2 - CEUR workshop proceedings Y1 - 2019 SN - 1613-0073 N1 - edited by Gerald Steinbauer, Alexander Ferrein IS - Vol-2325 ER - TY - JOUR A1 - Engel, Mareike A1 - Bayer, Hendrik A1 - Holtmann, Dirk A1 - Tippkötter, Nils A1 - Ulber, Roland T1 - Flavin secretion of Clostridium acetobutylicum in a bioelectrochemical system - Is an iron limitation involved? JF - Bioelectrochemistry Y1 - 2019 U6 - https://doi.org/10.1016/j.bioelechem.2019.05.014 SN - 1567-5394 IS - In Press, Accepted Manuscript PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schiffer, Fabian A1 - Bragard, Michael T1 - Cascaded LQ and Field-Oriented Control of a Mobile Inverse Pendulum (Segway) with Permanent Magnet Synchronous Machines T2 - 2019 20th International Conference on Research and Education in Mechatronics (REM) Y1 - 2019 SN - 978-1-5386-9257-8 U6 - https://doi.org/10.1109/REM.2019.8744101 SP - 1 EP - 8 ER - TY - CHAP A1 - Bragard, Michael A1 - Sube, Maike A1 - Schneider, Maike A1 - Jungemann, Christoph T1 - Introducing a Cross-University Bachelor’s Programme with Orientation Semester - Enabling a Permeable Academic Education System T2 - 2019 20th International Conference on Research and Education in Mechatronics (REM) Y1 - 2019 SN - 978-1-5386-9257-8 U6 - https://doi.org/10.1109/REM.2019.8744132 SP - 1 EP - 6 ER - TY - JOUR A1 - Stulpe, Werner T1 - Aspects of the Quantum-Classical Connection Based on Statistical Maps JF - Foundations of Physics Y1 - 2019 U6 - https://doi.org/10.1007/s10701-019-00269-9 VL - 49 IS - 6 SP - 677 EP - 692 PB - Springer CY - Berlin ER - TY - JOUR A1 - Weber, Tobias A1 - Englhard, Markus A1 - Arent, Jan-Christoph A1 - Hausmann, Joachim T1 - An experimental characterization of wrinkling generated during prepreg autoclave manufacturing using caul plates JF - Journal of Composite Materials Y1 - 2019 U6 - https://doi.org/10.1177/0021998319846556 SN - 1530-793X VL - 53 IS - 26-27 SP - 3757 EP - 3773 ER - TY - CHAP A1 - Hailer, Benjamin A1 - Weber, Tobias A1 - Arent, Jan-Christoph T1 - Manufacturing Process Simulation for Autoclave-Produced Sandwich Structures T2 - Proceedings of SAMPE Europe Conference 2019, Nantes, France Y1 - 2019 SP - 1 EP - 8 ER - TY - CHAP A1 - Weber, Tobias A1 - Englhard, Markus A1 - Hailer, Benjamin A1 - Arent, Jan-Christoph T1 - Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling T2 - Proceedings of SAMPE Europe Conference 2019, Nantes, France Y1 - 2019 SP - 1 EP - 10 ER - TY - JOUR A1 - Schiedermeier, Maximilian A1 - Rettner, Cornelius A1 - Heilmann, Marcel A1 - Schneider, Felix A1 - Marz, Martin T1 - Interference of automotive HV-DC-systems by traction voltage-source-inverters (VSI) JF - 2019 IEEE Transportation Electrification Conference (ITEC-India) Y1 - 2019 U6 - https://doi.org/10.1109/ITEC-India48457.2019.ITECINDIA2019-37 SP - 1 EP - 6 PB - IEEE CY - New York ER - TY - JOUR A1 - Kunkel, Maximilian Hugo A1 - Gebhardt, Andreas A1 - Mpofu, Khumbulani A1 - Kallweit, Stephan T1 - Quality assurance in metal powder bed fusion via deep-learning-based image classification JF - Rapid Prototyping Journal Y1 - 2019 U6 - https://doi.org/10.1108/RPJ-03-2019-0066 SN - 1355-2546 VL - 26 IS - 2 SP - 259 EP - 266 ER - TY - CHAP A1 - Leise, Philipp A1 - Altherr, Lena A1 - Simon, Nicolai A1 - Pelz, Peter F. T1 - Finding global-optimal gearbox designs for battery electric vehicles T2 - Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019 N2 - In order to maximize the possible travel distance of battery electric vehicles with one battery charge, it is mandatory to adjust all components of the powertrain carefully to each other. While current vehicle designs mostly simplify the powertrain rigorously and use an electric motor in combination with a gearbox with only one fixed transmission ratio, the use of multi-gear systems has great potential. First, a multi-speed system is able to improve the overall energy efficiency. Secondly, it is able to reduce the maximum momentum and therefore to reduce the maximum current provided by the traction battery, which results in a longer battery lifetime. In this paper, we present a systematic way to generate multi-gear gearbox designs that—combined with a certain electric motor—lead to the most efficient fulfillment of predefined load scenarios and are at the same time robust to uncertainties in the load. Therefore, we model the electric motor and the gearbox within a Mixed-Integer Nonlinear Program, and optimize the efficiency of the mechanical parts of the powertrain. By combining this mathematical optimization program with an unsupervised machine learning algorithm, we are able to derive global-optimal gearbox designs for practically relevant momentum and speed requirements. KW - Powertrain KW - Gearbox KW - Optimization KW - BEV KW - WLTP Y1 - 2019 SN - 978-3-030-21802-7 U6 - https://doi.org/10.1007/978-3-030-21803-4_91 SP - 916 EP - 925 PB - Springer CY - Cham ER - TY - CHAP A1 - Stenger, David A1 - Altherr, Lena A1 - Abel, Dirk T1 - Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead T2 - Operations Research Proceedings 2018 N2 - In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead. KW - Product family optimization KW - Mixed-integer nonlinear black-box optimization KW - Engineering optimization KW - Machine learning Y1 - 2019 SN - 978-3-030-18499-5 (Print) SN - 978-3-030-18500-8 (Online) U6 - https://doi.org/10.1007/978-3-030-18500-8_47 SP - 379 EP - 385 PB - Springer CY - Cham ER -