TY - CHAP AU - Koldewey, Christian AU - Reinhold, Jannik AU - Dumitrescu, Roman ED - Buchholz, Birgit ED - Bürger, Matthias ID - 20573 T2 - Der Geschäftsmodell-Toolguide TI - Geschäftsmodell-Roadmapping ER - TY - CONF AU - Boeddeker, Christoph AU - Nakatani, Tomohiro AU - Kinoshita, Keisuke AU - Haeb-Umbach, Reinhold ID - 20695 SN - 9781509066315 T2 - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) TI - Jointly Optimal Dereverberation and Beamforming ER - TY - CONF AU - Boeddeker, Christoph AU - Cord-Landwehr, Tobias AU - Heitkaemper, Jens AU - Zorila, Catalin AU - Hayakawa, Daichi AU - Li, Mohan AU - Liu, Min AU - Doddipatla, Rama AU - Haeb-Umbach, Reinhold ID - 20700 T2 - Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments TI - Towards a speaker diarization system for the CHiME 2020 dinner party transcription ER - TY - BOOK ED - Herzig, Bardo ED - Klar, Tilman-Mathies ED - Martin, Alexander ED - Meister, Dorothee ID - 20705 SN - 1424-3636 TI - Orientierungen in der digitalen Welt ER - TY - CONF AU - Camberg, Alan Adam AU - Tröster, Thomas ID - 20854 TI - A simplified method for the evaluation of the layer compression test using one 3D digital image correlation system and considering the material anisotropy by the equibiaxial Lankford parameter ER - TY - CONF AU - Camberg, Alan Adam AU - Erhart, Tobias AU - Tröster, Thomas ID - 20856 TI - Predicting fracture at non-isothermal forming conditions: A temperature dependent extension of the LS-DYNA GISSMO fracture indicator framework ER - TY - CONF AB - Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-figuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Schmidt, Eugen AU - Engels, Gregor ED - Bernhaupt, Regina ED - Ardito, Carmelo ED - Sauer, Stefan ID - 18249 KW - Product Configuration KW - Augmented Reality KW - Runtime Adaptation KW - Dynamic Software Product Lines T2 - Human-Centered Software Engineering. HCSE 2020 TI - Model-based Product Configuration in Augmented Reality Applications VL - 12481 ER - TY - GEN AU - Schürmann, Patrick ID - 18637 TI - A Group Signature Scheme from Flexible Public Key Signatures and Structure-Preserving Signatures on Equivalence Classes ER - TY - JOUR AB - Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator and its generator, but also the Schrödinger operator. We propose a kernel-based method for the approximation of differential operators in reproducing kernel Hilbert spaces and show how eigenfunctions can be estimated by solving auxiliary matrix eigenvalue problems. The resulting algorithms are applied to molecular dynamics and quantum chemistry examples. Furthermore, we exploit that, under certain conditions, the Schrödinger operator can be transformed into a Kolmogorov backward operator corresponding to a drift-diffusion process and vice versa. This allows us to apply methods developed for the analysis of high-dimensional stochastic differential equations to quantum mechanical systems. AU - Klus, Stefan AU - Nüske, Feliks AU - Hamzi, Boumediene ID - 21819 JF - Entropy SN - 1099-4300 TI - Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator ER - TY - CONF AU - Bobolz, Jan AU - Eidens, Fabian AU - Krenn, Stephan AU - Slamanig, Daniel AU - Striecks, Christoph ID - 16487 T2 - Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), TI - Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection ER - TY - JOUR AU - Sain, Basudeb AU - Zentgraf, Thomas ID - 16839 JF - Light: Science & Applications SN - 2047-7538 TI - Metasurfaces help lasers to mode-lock VL - 9 ER - TY - JOUR AU - Zhou, Hongqiang AU - Sain, Basudeb AU - Wang, Yongtian AU - Schlickriede, Christian AU - Zhao, Ruizhe AU - Zhang, Xue AU - Wei, Qunshuo AU - Li, Xiaowei AU - Huang, Lingling AU - Zentgraf, Thomas ID - 16931 IS - 5 JF - ACS Nano SN - 1936-0851 TI - Polarization-Encrypted Orbital Angular Momentum Multiplexed Metasurface Holography VL - 14 ER - TY - CONF AB - The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of Software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application. AU - Gottschalk, Sebastian AU - Rittmeier, Florian AU - Engels, Gregor ID - 16933 KW - Business Model Decision Line KW - Business Model Adaptation KW - Hypothesis-driven Adaptation KW - Software Product Line KW - Feature Model T2 - Proceedings of the 22nd IEEE International Conference on Business Informatics TI - Hypothesis-driven Adaptation of Business Models based on Product Line Engineering ER - TY - CONF AB - To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ED - Shishkov, Boris ID - 16934 KW - Hypothesis Engineering KW - Model-based KW - Customer Need Adaptation KW - Business Model KW - Product Features T2 - Business Modeling and Software Design TI - Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs VL - 391 ER - TY - CONF AU - Triebus, Marcel AU - Tröster, Thomas ID - 16939 T2 - Proceedings 4th International Conference Hybrid Materials & Structures TI - A Holistic Approach to Optimization-Based Design of Hybrid Materials ER - TY - GEN AB - The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander ID - 17019 KW - Scientific impact KW - knowledge impact KW - content-based citation analysis KW - methodology TI - Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre ER - TY - CONF AB - Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora. AU - Wagner, Gerit AU - Empl, Philipp AU - Schryen, Guido ID - 17055 KW - Reading and skimming KW - Exploring literature KW - Review methodology KW - Design science research KW - Schemata theory T2 - 28th European Conference on Information Systems (ECIS 2020) TI - Designing a Novel Strategy for Exploring Literature Corpora ER - TY - CONF AU - Dreiling, Dmitrij AU - Itner, Dominik Thor AU - Feldmann, Nadine AU - Gravenkamp, Hauke AU - Henning, Bernd ID - 17089 TI - Increasing the sensitivity in the determination of material parameters by using arbitrary loads in ultrasonic transmission measurements ER - TY - JOUR AU - Schryen, Guido ID - 15414 IS - 9 JF - Communications of the ACM TI - Integrating Management Science into the HPC Research Ecosystem VL - 63 ER - TY - CONF AU - Claes, Leander AU - Baumhögger, Elmar AU - Rüther, Torben AU - Gierse, Jan AU - Tröster, Thomas AU - Henning, Bernd ID - 15490 T2 - Fortschritte der Akustik - DAGA 2020 TI - Reduction of systematic measurement deviation in acoustic absorption measurement systems ER -