TY - PAT A1 - Hojdis, Nils T1 - Verfahren zum Bestimmen einer Sitzeinstellung eines Sitzes eines Kraftfahrzeugs, Computerprogrammprodukt, Servereinrichtung, Kommunikationsendgerät und Kraftfahrzeug N2 - Die Erfindung betrifft ein Verfahren zum Bestimmen einer Sitzeinstellung (23) eines Sitzes (3) eines Kraftfahrzeugs (1), bei welchem folgende Schritte durchgeführt werden:- Bereitstellen einer Körperabmessung (12) eines Nutzers (6) des Kraftfahrzeugs (1);- Bereitstellen einer Sitzeigenschaft (13) des Sitzes (3) des Kraftfahrzeugs (1);- Bereitstellen eines mit zumindest einer Referenzsitzeigenschaft (20), zumindest einer Referenzkörperabmessung (21) und zumindest einer Referenzsitzeinstellung (22) trainiertes künstliches neuronales Netz (14); und- Bestimmen der Sitzeinstellung (23) durch Eingabe der Körperabmessung (12) und der Sitzeigenschaft (13) in das künstliche neuronale Netz (14). Y1 - 2019 N1 - Patent DE102018211831A1 05.12.2019 ER - TY - PAT A1 - Dauer, David-Raphael A1 - Hojdis, Nils A1 - Müller, Norbert A1 - Recker, Carla A1 - Schax, Fabian A1 - Schöffel, Julia A1 - Tarantola, Gesa A1 - Weber, Christine T1 - Schwefelvernetzbare Kautschukmischung, Vulkanisat der Kautschukmischung und Fahrzeugreifen N2 - Die Erfindung betrifft eine schwefelvernetzbare Kautschukmischung, deren Vulkanisat und einen Fahrzeugreifen.Die schwefelvernetzbare Kautschukmischung enthält wenigstens die folgenden Bestandteile:- wenigstens einen Dienkautschuk; und- 10 bis 300 phr wenigstens einer Kieselsäure ; und- 1 bis 30 phf wenigstens eines Silans A mit der allgemeinen Summenformel A-I)und- 0,5 bis 30 phf wenigstens eines Silans B mit der allgemeinen Summenformel B-I)wobei u gleich 0, 1, 2 oder 3 und v gleich 0 oder 1 ist. Y1 - 2019 N1 - Patent DE102017221236A1 29.05.2019 auch veröffentlicht unter CN111405987A; TW201925305A; WO2019105615A1 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 - Bedbur, Christian A1 - Thull, J. A1 - Moorkamp, Wilfried A1 - Uibel, Thomas T1 - Standardbrücken für Geh- und Radwege T2 - Tagungsband 4. Aachener Holzbautagung 2019: 12. und 13. September an der FH Aachen Y1 - 2020 SN - 2197-4489 SP - 34 EP - 45 PB - FH Aachen CY - Aachen 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 - TY - JOUR A1 - Olbertz, Klaus T1 - Arbeitsrechtliche Akzente der Gesetzgebung und Rechtsprechung in 2018 : Ein kurzweiliger Rückblick auf das Arbeitsrecht des vergangenen Jahres JF - NWB - Steuer- und Wirtschaftsrecht Y1 - 2019 SN - 0028-3460 IS - 5 SP - 266 EP - 279 ER - TY - JOUR A1 - Olbertz, Klaus T1 - Auslandsentsendungen im arbeitsrechtlichen Zusammenhang : Ausgestaltung eines Entsendungsvertrags und mitbestimmungsrechtliche Aspekte JF - NWB - Steuer- und Wirtschaftsrecht Y1 - 2019 SN - 0028-3460 IS - 19 SP - 1400 EP - 1406 ER - TY - JOUR A1 - Olbertz, Klaus T1 - Rechtssichere Vereinbarungen von Kündigungsfristen im Arbeitsvertrag : Weitestgehende Abdingbarkeit gesetzlicher Vorgaben ermöglicht passgenaue Gestaltungen JF - NWB - Steuer- und Wirtschaftsrecht Y1 - 2019 SN - 0028-3460 IS - 23 SP - 1693 EP - 1699 ER - TY - JOUR A1 - Olbertz, Klaus T1 - Die Optionen des Arbeitgebers nach Krankmeldung des Arbeitnehmers : Ein Überblick über die Rechte und Pflichten des Arbeitgebers bei Arbeitsunfähigkeit des Mitarbeiters JF - NWB - Steuer- und Wirtschaftsrecht Y1 - 2019 SN - 0028-3460 IS - 30 SP - 2222 EP - 2229 ER - TY - JOUR A1 - Olbertz, Klaus T1 - Die arbeitsvertragliche Vereinbarung von Vertragsstrafen : Anforderungen an wirksame Vertragsstrafenabreden in Formulararbeitsverträgen beachten JF - NWB - Steuer- und Wirtschaftsrecht Y1 - 2019 SN - 0028-3460 IS - 45 SP - 3302 EP - 3308 ER - TY - GEN A1 - Olbertz, Klaus T1 - Sozialversicherungspflicht eines Minderheitsgesellschafter-Geschäftsführers einer Familiengesellschaft T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Beschluss des LSG Niedersachsen-Bremen v. 20.12.2018 – L 12 BA 23/18 B ER IS - 3 SP - 48 EP - 48 ER - TY - GEN A1 - Olbertz, Klaus T1 - Kein Anspruch des Arbeitnehmers auf Verzugspauschale bei Lohnverzug des Arbeitgebers T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Urteil des BAG v. 25.09.2018 – 8 AZR 26/18 IS - 4 SP - 75 EP - 75 ER - TY - GEN A1 - Olbertz, Klaus T1 - Kirchenmitgliedschaft als Einstellungskriterium T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Urteil des BAG v. 25.10.2018 – 8 AZR 501/14 IS - 6 SP - 111 EP - 111 ER - TY - GEN A1 - Olbertz, Klaus T1 - Zuordnung von befristet versetzten Arbeitnehmern zu einem übergehenden Betriebsteil T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Urteil des LAG Köln v. 04.12.2018 – 4 Sa 962/17 IS - 7 SP - 132 EP - 132 ER - TY - GEN A1 - Olbertz, Klaus T1 - Keine sachgrundlose Befristung bei acht Jahre zurückliegender Vorbeschäftigung T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Urteil des BAG v. 23.01.2019 – 7 AZR 733/16 IS - 11 SP - 201 EP - 201 ER - TY - GEN A1 - Olbertz, Klaus T1 - Vorlagebeschluss – Kopftuchverbot erneut vor dem EuGH T2 - Gesellschafts- und Wirtschaftsrecht : GWR Y1 - 2019 SN - 1868-1816 N1 - Anmerkung zum Beschluss des BAG v. 30.01.2019 – 10 AZR 299/18 IS - 11 SP - 203 EP - 203 ER - TY - JOUR A1 - Ketelhut, Maike A1 - Kolditz, Melanie A1 - Göll, Fabian A1 - Braunstein, Bjoern A1 - Albracht, Kirsten A1 - Abel, Dirk T1 - Admittance control of an industrial robot during resistance training JF - IFAC-PapersOnLine N2 - Neuromuscular strength training of the leg extensor muscles plays an important role in the rehabilitation and prevention of age and wealth related diseases. In this paper, we focus on the design and implementation of a Cartesian admittance control scheme for isotonic training, i.e. leg extension and flexion against a predefined weight. For preliminary testing and validation of the designed algorithm an experimental research and development platform consisting of an industrial robot and a force plate mounted at its end-effector has been used. Linear, diagonal and arbitrary two-dimensional motion trajectories with different weights for the leg extension and flexion part are applied. The proposed algorithm is easily adaptable to trajectories consisting of arbitrary six-dimensional poses and allows the implementation of individualized trajectories. KW - Assistive technology KW - Rehabilitation engineering KW - Human-Computer interaction KW - Automatic control Y1 - 2019 U6 - https://doi.org/10.1016/j.ifacol.2019.12.102 SN - 2405-8963 N1 - 14th IFAC Symposium on Analysis, Design, and Evaluation of Human Machine Systems HMS 2019 Tallinn, Estonia, 16–91 September 2019 VL - 52 IS - 19 SP - 223 EP - 228 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Ketelhut, Maike A1 - Göll, Fabian A1 - Braunstein, Bjoern A1 - Albracht, Kirsten A1 - Abel, Dirk T1 - Iterative learning control of an industrial robot for neuromuscular training T2 - 2019 IEEE Conference on Control Technology and Applications N2 - Effective training requires high muscle forces potentially leading to training-induced injuries. Thus, continuous monitoring and controlling of the loadings applied to the musculoskeletal system along the motion trajectory is required. In this paper, a norm-optimal iterative learning control algorithm for the robot-assisted training is developed. The algorithm aims at minimizing the external knee joint moment, which is commonly used to quantify the loading of the medial compartment. To estimate the external knee joint moment, a musculoskeletal lower extremity model is implemented in OpenSim and coupled with a model of an industrial robot and a force plate mounted at its end-effector. The algorithm is tested in simulation for patients with varus, normal and valgus alignment of the knee. The results show that the algorithm is able to minimize the external knee joint moment in all three cases and converges after less than seven iterations. KW - Knee KW - Training KW - Load modeling KW - Force KW - Iterative learning control Y1 - 2019 SN - 978-1-7281-2767-5 (ePub) SN - 978-1-7281-2766-8 (USB) SN - 978-1-7281-2768-2 (PoD) U6 - https://doi.org/10.1109/CCTA.2019.8920659 N1 - 2019 IEEE Conference on Control Technology and Applications (CCTA) Hong Kong, China, August 19-21, 2019 PB - IEEE CY - New York ER - TY - GEN A1 - Blottner, Dieter A1 - Hastermann, Maria A1 - Muckelt, Paul A1 - Albracht, Kirsten A1 - Schoenrock, Britt A1 - Salanova, Michele A1 - Warner, Martin A1 - Gunga, Hans-Christian A1 - Stokes, Maria T1 - MYOTONES - Inflight muscle health status monitoring during long-duration space missions onboard the International Space Station: a single case study T2 - IAC Papers Archive N2 - The MYOTONES experiment is the first to monitor changes in the basic biomechanical properties (tone, elasticity and stiffness) of the resting human myofascial system due to microgravity with a oninvasive, portable device on board the ISS. The MyotonPRO device applies several brief mechanical stimuli to the surface of the skin, and the natural oscillation signals of the tissue beneath are detected and computed by the MyotonPRO. Thus, an objective, quick and easy determination of the state of the underlying tissue is possible. Two preflight, four inflight and four post flight measurements were performed on a male astronaut using the same 10 measurement points (MP) for each session. MPs were located on the plantar fascia, Achilles tendon, M. soleus, M. gastrocnemius, M. multifidus, M. splenius capitis, M. deltoideus anterior, M. rectus femoris, infrapatellar tendon, M. tibialis anterior. Subcutaneous tissues thickness above the MPs was measured using ultrasound imaging. Magnetic resonance images (MRI) of lower limb muscles and functional tests were also performed pre- and postflight. Our first measurements on board the ISS confirmed increased tone and stiffness of the lumbar multifidus muscle, an important trunk stabilizer, dysfunction of which is known to be associated with back pain. Furthermore, reduced tone and stiffness of Achilles tendon and plantar fascia were observed inflight vs. preflight, confirming previous findings from terrestrial analog studies and parabolic flights. Unexpectedly, the deltoid showed negative inflight changes in tone and stiffness, and increased elasticity, suggesting a potential risk of muscle atrophy in longer spaceflight that should be addressed by adequate inflight countermeasure protocols. Most values from limb and back MPS showed deflected patterns (in either directions) from inflight shortly after the re-entry phase on the landing day and one week later. Most parameter values then normalized to baseline after 3 weeks likely due to 1G re-adaptation and possible outcome of the reconditioning protocol. No major changes in subcutaneous tissues thickness above the MPs were found inflight vs preflight, suggesting no bias (i.e., fluid shift, extreme tissue thickening or loss). Pre- and postflight MRI and functional tests showed negligible changes in calf muscle size, power and force, which is likely due to training effects from current inflight exercise protocols. The MYOTONES experiment is currently ongoing to collect data from further crew members. The potential impact of this research is to better understand the effects of microgravity and countermeasures over the time course of an ISS mission cycle. This will enable exercise countermeasures to be tailored Y1 - 2019 SN - 00741795 N1 - International Astronautical Congress: space: the power of the past, the promise of the future - Washington DC, USA/Vereinigte Staaten von Amerika Dauer: 21.10.2019 → 25.10.2019 PB - Pergamon CY - Oxford ER -