TY - CHAP A1 - Auth, Gunnar A1 - Czarnecki, Christian A1 - Bensberg, Frank ED - Draude, Claude ED - Lange, Martin ED - Sick, Bernhard ED - Gesellschaft für Informatik e.V. (GI), T1 - Impact of robotic process automation on enterprise architectures T2 - GI Edition Proceedings Band 295 INFORMATIK 2019, Workshop-Beiträge N2 - The initial idea of Robotic Process Automation (RPA) is the automation of business processes through the presentation layer of existing application systems. For this simple emulation of user input and output by software robots, no changes of the systems and architecture is required. However, considering strategic aspects of aligning business and technology on an enterprise level as well as the growing capabilities of RPA driven by artificial intelligence, interrelations between RPA and Enterprise Architecture (EA) become visible and pose new questions. In this paper we discuss the relationship between RPA and EA in terms of perspectives and implications. As workin- progress we focus on identifying new questions and research opportunities related to RPA and EA. KW - Robotic Process Automation KW - Enterprise Architecture KW - Software Robots Y1 - 2019 SN - 9783885796893 U6 - https://doi.org/10.18420/inf2019_ws05 SN - 1617-5468 N1 - 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. 16. September, Kassel SP - 59 EP - 65 PB - Köllen CY - Bonn ER - TY - CHAP A1 - Brockmann, Carsten A1 - Sultanow, Eldar A1 - Czarnecki, Christian ED - Draude, Claude ED - Lange, Martin ED - Sick, Bernhard T1 - Is enterprise architecture still relevant in the digital age? T2 - GI Edition Proceedings Band 295 INFORMATIK 2019, Workshop-Beiträge KW - Preface KW - Enterprise Architecture KW - Digital Age Y1 - 2019 SN - 9783885796893 U6 - https://doi.org/10.18420/inf2019_ws01 SN - 1617-5468 N1 - 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. 16. September, Kassel SP - 21 EP - 21 PB - Köllen CY - Bonn ER - TY - CHAP A1 - Bensberg, Frank A1 - Buscher, Gandalf A1 - Czarnecki, Christian ED - Nissen, Volker T1 - Digital transformation and IT topics in the consulting industry: a labor market perspective T2 - Advances in consulting research : recent findings and practical cases N2 - Information technologies, such as big data analytics, cloud computing, cyber physical systems, robotic process automation, and the internet of things, provide a sustainable impetus for the structural development of business sectors as well as the digitalization of markets, enterprises, and processes. Within the consulting industry, the proliferation of these technologies opened up the new segment of digital transformation, which focuses on setting up, controlling, and implementing projects for enterprises from a broad range of sectors. These recent developments raise the question, which requirements evolve for IT consultants as important success factors of those digital transformation projects. Therefore, this empirical contribution provides indications regarding the qualifications and competences necessary for IT consultants in the era of digital transformation from a labor market perspective. On the one hand, this knowledge base is interesting for the academic education of consultants, since it supports a market-oriented design of adequate training measures. On the other hand, insights into the competence requirements for consultants are considered relevant for skill and talent management processes in consulting practice. Assuming that consulting companies pursue a strategic human resource management approach, labor market information may also be useful to discover strategic behavioral patterns. Y1 - 2019 SN - 978-3-319-95998-6 SN - 978-3-030-07125-7 SN - 978-3-319-95999-3 U6 - https://doi.org/10.1007/978-3-319-95999-3_16 SP - 341 EP - 357 PB - Springer CY - Cham ER - TY - CHAP A1 - Schmitz, Manfred A1 - Dietze, Christian A1 - Czarnecki, Christian ED - Urbach, Nils ED - Röglinger, Maximilian T1 - Enabling digital transformation through robotic process automation at Deutsche Telekom T2 - Enabling digital transformation through robotic process automation at Deutsche Telekom N2 - Due to the high number of customer contacts, fault clearances, installations, and product provisioning per year, the automation level of operational processes has a significant impact on financial results, quality, and customer experience. Therefore, the telecommunications operator Deutsche Telekom (DT) has defined a digital strategy with the objectives of zero complexity and zero complaint, one touch, agility in service, and disruptive thinking. In this context, Robotic Process Automation (RPA) was identified as an enabling technology to formulate and realize DT’s digital strategy through automation of rule-based, routine, and predictable tasks in combination with structured and stable data. Y1 - 2019 SN - 978-3-319-95272-7 U6 - https://doi.org/10.1007/978-3-319-95273-4_2 SP - 15 EP - 33 PB - Springer CY - Cham ER - TY - CHAP A1 - Cordes, Sven A1 - Gligorevic, Snjezana A1 - Blicharski, Peter T1 - Analysis of sine precision influence on DOA estimation using the MUSIC algorithm T2 - 2019 20th International Radar Symposium (IRS) Y1 - 2019 SN - 978-3-7369-9860-5 U6 - https://doi.org/10.23919/IRS.2019.8768162 SP - 1 EP - 10 ER - TY - CHAP A1 - Sadeghfam, Arash A1 - Sadeghi-Ahangar, A. A1 - Elgamal, Abdelrahman A1 - Heuermann, Holger T1 - Design and Development of a Novel Self-Igniting Microwave Plasma Jet for Industrial Applications T2 - IEEE MTT-S International Microwave Symposium Digest Y1 - 2019 SN - 978-172811309-8 SP - 63 EP - 66 ER - TY - CHAP A1 - Galdi, Chiara A1 - Hartung, Frank A1 - Dugelay, Jean-Luc T1 - Socrates: A database of realistic data for source camera recognition on smartphones T2 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM Y1 - 2019 SN - 978-989-758-351-3 U6 - https://doi.org/10.5220/0007403706480655 SP - 648 EP - 655 ER - TY - JOUR A1 - Schmidt, Katharina A1 - Forkmann, Katarina A1 - Schultz, Heidrun A1 - Gratz, Marcel A1 - Bitz, Andreas A1 - Wiech, Katja A1 - Bingel, Ulrike T1 - Enhanced Neural Reinstatement for Evoked Facial Pain Compared With Evoked Hand Pain JF - The Journal of Pain Y1 - 2019 U6 - https://doi.org/10.1016/j.jpain.2019.03.003 SN - 1526-5900 IS - In Press, Corrected Proof PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Ferrein, Alexander A1 - Scholl, Ingrid A1 - Neumann, Tobias A1 - Krückel, Kai A1 - Schiffer, Stefan T1 - A system for continuous underground site mapping and exploration Y1 - 2019 U6 - https://doi.org/10.5772/intechopen.85859 ER - TY - CHAP A1 - Ferrein, Alexander A1 - Bharatheesha, Mukunda A1 - Schiffer, Stefan A1 - Corbato, Carlos Hernandez T1 - TRROS 2018 : Teaching Robotics with ROS Workshop at ERF 2018; Proceedings of the Workshop on Teaching Robotics with ROS (held at ERF 2018), co-located with European Robotics Forum 2018 (ERF 2018), Tampere, Finland, March 15th, 2018 T2 - CEUR Workshop Proceedings Y1 - 2019 SN - 1613-0073 IS - Vol-2329 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 - 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 - 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 - 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 - 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 -