TY - JOUR AU - Habla, Wolfgang AU - Huwe, Vera AU - Kesternich, Martin ID - 45587 JF - Transportation Research Part D: Transport and Environment KW - General Environmental Science KW - Transportation KW - Civil and Structural Engineering SN - 1361-9209 TI - Electric and conventional vehicle usage in private and car sharing fleets in Germany VL - 93 ER - TY - THES AB - Eine zustandsbasierte Instandhaltungsstrategie reduziert das Risiko eines Ausfalls eines technischen Systems bei gleichzeitig hoher Ausnutzung und planbaren Instandhaltungsmaßnahmen. Das Ziel dieser Arbeit liegt in der Entwicklung einer Zustandsüberwachung für Gummi-Metall-Elemente. Die Herausforderungen dieser Zustandsüberwachung leiten sich aus dem viskoelastischen Verhalten sowie dem komplexen Degradationsverhalten der Elemente ab. Infolge der daraus resultierenden Unsicherheiten werden die Elemente heutzutage präventiv instandgehalten. In Lebensdauerversuchen der Gummi-Metall-Elemente werden drei Messgrößen detektiert. Dabei wird mit der Temperatur eine Messgröße identifiziert, die am geeignetsten zur Beschreibung des Zustands der Elemente ist. Generell wird die Genauigkeit einer Zustandsüberwachung durch verschiedene Unsicherheiten beeinflusst. Für die Prognose der nutzbaren Restlebensdauer der Gummi-Metall-Elemente wird das Partikelfilter, eine verbreitete modellbasierte Methode zur Zustandsüberwachung technischer Systeme, weiterentwickelt, um Unsicherheiten im Verhalten und der Degradation der Elemente zu berücksichtigen. Anhand der Ergebnisse wird belegt, dass aufbauend auf dieser Zustandsüberwachung die Ausnutzung der Gummi-Metall-Elemente in realen Anwendungen durch eine präventive Instandhaltung erhöht werden kann. Damit bildet diese Arbeit die Basis für zukünftige, prädiktive Instandhaltungskonzepte für diese Elemente. Weiterhin bestätigt die Arbeit, dass eine Berücksichtigung vorliegender Unsicherheiten zu einem frühen Zeitpunkt im Entwicklungsprozess des Zustandsüberwachungssystems empfehlenswert ist. AU - Bender, Amelie ID - 21630 KW - Zustandsüberwachung KW - Prognose der Restlebensdauer KW - modellbasierte Prognose KW - Partikelfilter KW - Unsicherheiten KW - Gummi KW - Verlässlichkeit KW - Lebensdauerversuche KW - Predictive Maintenance TI - Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten ER - TY - CONF AU - Ghasemzadeh Mohammadi, Hassan AU - Jentzsch, Felix AU - Kuschel, Maurice AU - Arshad, Rahil AU - Rautmare, Sneha AU - Manjunatha, Suraj AU - Platzner, Marco AU - Boschmann, Alexander AU - Schollbach, Dirk ID - 30908 T2 - Machine Learning and Principles and Practice of Knowledge Discovery in Databases TI - FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics ER - TY - GEN AU - Krause, Daniel AU - Margraf, Linda AU - Weigelt, Matthias ID - 37842 TI - Neural Correlates of Augmented Feedback Processing are Associated to Short-Term Behavioral Changes and Automaticity in Motor Learning ER - TY - GEN AU - Krause, Daniel AU - Margraf, Linda AU - Weigelt, Matthias ED - Huckauf, Anke ED - Baumann, Martin ED - Ernst, Marc ED - Herbert, Cornelia ED - Kiefer, Markus ED - Sauter, Marian ID - 38074 TI - Predictive value of valence-dependent neural correlates of augmented feedback processing for behavioral adaptation and learning in extensive motor learning ER - TY - GEN AU - Margraf, Linda AU - Krause, Daniel AU - Weigelt, Matthias ID - 37840 TI - Neural Processing of Augmented Feedback is Valence-Dependent and Changes After Extensive Practice of a New Motor Task ER - TY - GEN AU - Margraf, Linda AU - Krause, Daniel AU - Weigelt, Matthias ED - Huckauf, Anke ED - Baumann, Martin ED - Ernst, Marc ED - Herbert, Cornelia ED - Kiefer, Markus ED - Sauter, Marian ID - 38078 TI - Changes in valence-dependent neural correlates of augmented feedback processing after extensive motor sequence learning ER - TY - JOUR AB - The development of motor competencies is necessary for participation in the culture of sport, exercise, and physical activity, which in turn supports the development of a healthy lifestyle. A lack of physical activity in childhood and deficits in motor performance emphasize the relevance of interventions for promoting basic motor competencies. However, there are research desiderata with regard to such interventions. This article describes an intervention program for promoting basic motor competencies in middle childhood (around 6 to 10 years of age). The intervention was investigated in a longitudinal study from June 2019 to January 2020 (n = 200; 58% girls, M = 8.84 years, SD = 0.63) at three primary schools. The intervention was conducted once a week in physical education (PE). The comparison group participated in regular PE. The intervention showed significant effects on basic motor competencies in object movement but not in self-movement. The results demonstrate that positive effects on basic motor competencies can be achieved with the help of a relatively simple intervention. Further longitudinal studies are desirable as a means of substantiating the results and developing evidence-based concepts to support children in their development in the best possible way. AU - Strotmeyer, Anne AU - Kehne, Miriam AU - Herrmann, Christian ID - 42713 IS - 14 JF - International Journal of Environmental Research and Public Health KW - Health KW - Toxicology and Mutagenesis KW - Public Health KW - Environmental and Occupational Health SN - 1660-4601 TI - Effects of an Intervention for Promoting Basic Motor Competencies in Middle Childhood VL - 18 ER - TY - GEN AU - Polzien, A. AU - Güldenpenning, Iris AU - Weigelt, Matthias ED - Huckauf, A. ED - Baumann, M. ED - Ernst, M. ED - Herbert, C. ED - Kiefer, M. ED - Sauter, M. ID - 47031 T2 - Abstracts of the 63rd Conference of Experimental Psychologists (TeaP) TI - Repeating head fakes in basketball: Temporal aspects affect the congruency-sequence effect ER - TY - GEN AU - Güldenpenning, Iris AU - Kunde, W. AU - Weigelt, Matthias ED - Huckauf, A. ED - Baumann, M. ED - Ernst, M. ED - Herbert, C. ED - Kiefer, M. ED - Sauter, M. ID - 47030 T2 - Abstracts of the 63rd Conference of Experimental Psychologists (TeaP) TI - Cognitive load reduces interference by head fakes in basketball ER - TY - GEN AU - Güldenpenning, Iris AU - Barkey, Thies AU - Jackson, Robin C. AU - Weigelt, Matthias ED - Höner, O. ED - Wachsmuth, S. ED - Reinhard, M.L. ED - Schultz, F. ID - 47131 T2 - Talententwicklung und Coaching im Sport. Abstractband der 53. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie (asp) TI - Der Einfluss von Kontextinformationen auf den Blicktäuschungseffekt im Basketball ER - TY - CONF AU - Lishkova, Y. AU - Cannon, M. AU - Ober-Blöbaum, Sina ID - 47146 TI - A multirate variational approach to Nonlinear MPC ER - TY - JOUR AB - Ultrasonic wire bonding is a solid-state joining process, used in the electronics industry to form electrical connections, e.g. to connect electrical terminals within semiconductor modules. Many process parameters affect the bond strength, such like the bond normal force, ultrasonic power, wire material and bonding frequency. Today, process design, development, and optimization is most likely based on the knowledge of process engineers and is mainly performed by experimental testing. In this contribution, a newly developed simulation tool is presented, to reduce time and costs and efficiently determine optimized process parameter. Based on a co-simulation of MATLAB and ANSYS, the different physical phenomena of the wire bonding process are considered using finite element simulation for the complex plastic deformation of the wire and reduced order models for the transient dynamics of the transducer, wire, substrate and bond formation. The model parameters such as the coefficients of friction between bond tool and wire and between wire and substrate were determined for aluminium and copper wire in experiments with a test rig specially developed for the requirements of heavy wire bonding. To reduce simulation time, for the finite element simulation a restart analysis and high performance computing is utilized. Detailed analysis of the bond formation showed, that the normal pressure distribution in the contact between wire and substrate has high impact on bond formation and distribution of welded areas in the contact area. AU - Schemmel, Reinhard AU - Krieger, Viktor AU - Hemsel, Tobias AU - Sextro, Walter ID - 21436 JF - Microelectronics Reliability KW - Ultrasonic heavy wire bonding KW - Co-simulation KW - ANSYS KW - MATLAB KW - Process optimization KW - Friction coefficient KW - Copper-copper KW - Aluminium-copper SN - 0026-2714 TI - Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization VL - 119 ER - TY - CONF AB - Predictive Maintenance as a desirable maintenance strategy in industrial applications relies on suitable condition monitoring solutions to reduce costs and risks of the monitored technical systems. In general, those solutions utilize model-based or data-driven methods to diagnose the current state or predict future states of monitored technical systems. However, both methods have their advantages and drawbacks. Combining both methods can improve uncertainty consideration and accuracy. Different combination approaches of those hybrid methods exist to exploit synergy effects. The choice of an appropriate approach depends on different requirements and the goal behind the selection of a hybrid approach. In this work, the hybrid approach for estimating remaining useful lifetime takes potential uncertainties into account. Therefore, a data-driven estimation of new measurements is integrated within a model-based method. To consider uncertainties within the system, a differentiation between different system behavior is realized throughout diverse states of degradation. The developed hybrid prediction approach bases on a particle filtering method combined with a machine learning method, to estimate the remaining useful lifetime of technical systems. Particle filtering as a Monte Carlo simulation technique is suitable to map and propagate uncertainties. Moreover, it is a state-of-the-art model-based method for predicting remaining useful lifetime of technical systems. To integrate uncertainties a multi-model particle filtering approach is employed. In general, resampling as a part of the particle filtering approach has the potential to lead to an accurate prediction. However, in the case where no future measurements are available, it may increase the uncertainty of the prediction. By estimating new measurements, those uncertainties are reduced within the data-driven part of the approach. Hence, both parts of the hybrid approach strive to account for and reduce uncertainties. Rubber-metal-elements are employed as a use-case to evaluate the developed approach. Rubber-metal-elements, which are used to isolate vibrations in various systems, such as railways, trucks and wind turbines, show various uncertainties in their behavior and their degradation. Those uncertainties are caused by diverse inner and outer factors, such as manufacturing influences and operating conditions. By expert knowledge the influences are described, analyzed and if possible reduced. However, the remaining uncertainties are considered within the hybrid prediction method. Relative temperature is the selected measurand to describe the element’s degradation. In lifetime tests, it is measured as the difference between the element’s temperature and the ambient temperature. Thereby, the influence of the ambient temperature on the element’s temperature is taken into account. Those elements show three typical states of degradation that are identified within the temperature measurements. Depending on the particular state of degradation a new measurement is estimated within the hybrid approach to reduce potential uncertainties. Finally, the performance of the developed hybrid method is compared to a model-based method for estimating the remaining useful lifetime of the same elements. Suitable performance indices are implemented to underline the differences between the results. AU - Bender, Amelie AU - Sextro, Walter ED - Do, Phuc ED - King, Steve ED - Fink, Olga ID - 22724 IS - 1 KW - Hybrid prediction method KW - Multi-model particle filtering KW - Uncertainty quantification KW - RUL estimation T2 - Proceedings of the European Conference of the PHM Society 2021 TI - Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties VL - 6 ER - TY - CONF AB - Several methods, including order analysis, wavelet analysis and empirical mode decomposition have been proposed and successfully employed for the health state estimation of technical systems operating under varying conditions. However, where information such as the speed of rotating machinery, component specifications or other domain-specific information is unavailable, such methods are often infeasible. Thus, this paper investigates the application of classical time-domain features, features from the medical field and novel features from the highly comparative time-series analysis (HCTSA) package, for the health state estimation of rotating machinery operating under varying conditions. Furthermore, several feature selection methods are investigated to identify features as viable health indicators for the diagnostics and prognostics of technical systems. As a case study, the presented methods are evaluated on real-world and experimentally acquired vibration data of bearings operating under varying speed. The results show that the selected features can successfully be employed as health indicators for technical systems operating under varying conditions. AU - Aimiyekagbon, Osarenren Kennedy AU - Bender, Amelie AU - Sextro, Walter ID - 22507 KW - Wind turbine diagnostics KW - bearing diagnostics KW - non-stationary operating conditions KW - varying operating conditions KW - feature extraction KW - feature selection KW - fault detection KW - failure detection T2 - Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021) TI - On the applicability of time series features as health indicators for technical systems operating under varying conditions ER - TY - CONF AB - In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions. AU - Aimiyekagbon, Osarenren Kennedy AU - Muth, Lars AU - Wohlleben, Meike Claudia AU - Bender, Amelie AU - Sextro, Walter ED - Do, Phuc ED - King, Steve ED - Fink, Olga ID - 27111 IS - 1 KW - PHME 2021 KW - Feature Selection Classification KW - Feature Selection Clustering KW - Interpretable Model KW - Transparent Model KW - Industry 4.0 KW - Real-World Diagnostics KW - Quality Control KW - Predictive Maintenance T2 - Proceedings of the European Conference of the PHM Society 2021 TI - Rule-based Diagnostics of a Production Line VL - 6 ER - TY - CONF AU - Lenz, Cederic AU - Henke, Christian AU - Trächtler, Ansgar ID - 33975 T2 - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) TI - Anomaly detection in hot forming processes using hybrid modeling ER - TY - JOUR AU - Itner, Dominik AU - Gravenkamp, Hauke AU - Dreiling, Dmitrij AU - Feldmann, Nadine AU - Henning, Bernd ID - 21232 JF - Ultrasonics SN - 0041-624X TI - Efficient semi-analytical simulation of elastic guided waves in cylinders subject to arbitrary non-symmetric loads ER - TY - CHAP AB - Solving partial differential equations on unstructured grids is a cornerstone of engineering and scientific computing. Nowadays, heterogeneous parallel platforms with CPUs, GPUs, and FPGAs enable energy-efficient and computationally demanding simulations. We developed the HighPerMeshes C++-embedded Domain-Specific Language (DSL) for bridging the abstraction gap between the mathematical and algorithmic formulation of mesh-based algorithms for PDE problems on the one hand and an increasing number of heterogeneous platforms with their different parallel programming and runtime models on the other hand. Thus, the HighPerMeshes DSL aims at higher productivity in the code development process for multiple target platforms. We introduce the concepts as well as the basic structure of the HighPerMeshes DSL, and demonstrate its usage with three examples, a Poisson and monodomain problem, respectively, solved by the continuous finite element method, and the discontinuous Galerkin method for Maxwell’s equation. The mapping of the abstract algorithmic description onto parallel hardware, including distributed memory compute clusters, is presented. Finally, the achievable performance and scalability are demonstrated for a typical example problem on a multi-core CPU cluster. AU - Alhaddad, Samer AU - Förstner, Jens AU - Groth, Stefan AU - Grünewald, Daniel AU - Grynko, Yevgen AU - Hannig, Frank AU - Kenter, Tobias AU - Pfreundt, Franz-Josef AU - Plessl, Christian AU - Schotte, Merlind AU - Steinke, Thomas AU - Teich, Jürgen AU - Weiser, Martin AU - Wende, Florian ID - 21587 KW - tet_topic_hpc SN - 0302-9743 T2 - Euro-Par 2020: Parallel Processing Workshops TI - HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids ER - TY - CHAP AU - Ramaswami, Arjun AU - Kenter, Tobias AU - Kühne, Thomas AU - Plessl, Christian ID - 29936 SN - 0302-9743 T2 - Applied Reconfigurable Computing. Architectures, Tools, and Applications TI - Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing ER - TY - JOUR AU - Alhaddad, Samer AU - Förstner, Jens AU - Groth, Stefan AU - Grünewald, Daniel AU - Grynko, Yevgen AU - Hannig, Frank AU - Kenter, Tobias AU - Pfreundt, Franz‐Josef AU - Plessl, Christian AU - Schotte, Merlind AU - Steinke, Thomas AU - Teich, Jürgen AU - Weiser, Martin AU - Wende, Florian ID - 24788 JF - Concurrency and Computation: Practice and Experience KW - tet_topic_hpc SN - 1532-0626 TI - The HighPerMeshes framework for numerical algorithms on unstructured grids ER - TY - CONF AB - We present the optical generation of a 300 Gbaud PRBS-7 data signal based on time-division multiplexing of Nyquist sinc-pulse sequences. The employed electronic and photonic components need only one-third of the final bandwidth. AU - Singh, Karanveer AU - Meier, Janosch AU - Preussler, Stefan AU - Kress, Christian AU - Scheytt, J. Christoph AU - Schneider, Thomas ID - 29205 SN - 978-1-943580-94-1 T2 - OSA Advanced Photonics Congress 2021 TI - Optical PRBS Generation with Threefold Bandwidth of the Employed Electronics and Photonics ER - TY - JOUR AB -

The effect of traces of ethanol in supercritical carbon dioxide on the mixture's thermodynamic properties is studied by molecular simulations and Taylor dispersion measurements.

AU - Chatwell, René Spencer AU - Guevara-Carrion, Gabriela AU - Gaponenko, Yuri AU - Shevtsova, Valentina AU - Vrabec, Jadran ID - 32240 IS - 4 JF - Physical Chemistry Chemical Physics KW - Physical and Theoretical Chemistry KW - General Physics and Astronomy SN - 1463-9076 TI - Diffusion of the carbon dioxide–ethanol mixture in the extended critical region VL - 23 ER - TY - JOUR AB - PurposeThe purpose of this article is to illuminate the relations of work-related practices of local managers of live music events in Ostwestfalen-Lippe (OWL) and barriers and needs of vulnerable customers (VC) in order to explore possibilities to increase cultural participation of VC.Design/methodology/approachThis article explores work-related practices of managers of live music events in OWL and asks if and to what extent these practices have an influence on the cultural participation of “vulnerable customers” (VC). It combines the findings of two studies: a) an explorative investigation on the work-related self-conceptions of managers of live music events in OWL (Study 1), and b) a sub-project on cultural participation of VC, which is part of the research project “kulturPreis. Increasing cultural participation through innovative and economically sustainable pricing concepts”, funded by the German Federal Ministry of Education and Research (Study 2).FindingsIt can be stated that there is an imbalance of knowledge: while VC tend to have a clear understanding of which barriers are the responsibility of managers of live music events, managers tend to lack knowledge regarding the needs of VC, and regarding the interrelationships between financial and social barriers facing them. Whether this knowledge and understanding can be developed in the future depends on the possibilities of exchanges between managers of live music events, cultural institutions, welfare organisations, political institutions and not least VC.Originality/valueBased on these studies, this article combines different approaches by linking work-related practices of managers of live music events with cultural participation of VC. AU - Flath, Beate AU - Momen Pour Tafreshi, Maryam ID - 40978 IS - 2 JF - Arts and the Market SN - 2056-4945 TI - Work-related practices of local managers of live music events in Ostwestfalen-Lippe (OWL) and their impact on cultural participation VL - 11 ER - TY - GEN AU - Lammer, Christina ID - 30961 TI - Andrea Karimé: Sterne im Kopf und ein unglaublicher Plan. Köln: Peter Hammer Verlag 2021 ER - TY - CHAP AU - Knoll, Lisa ED - Sturn, Richard ED - Klüh, Ulrich ID - 37015 T2 - Der Staat in der Großen Transformation TI - Nachhaltigkeitsmärkte im Vergleich. Zur Transformation von Staatlichkeit VL - Band 19 ER - TY - CHAP AU - Knoll, Lisa ED - Peetz, Thorsten ED - Meier, Frank ID - 37017 T2 - Organisation und Bewertung TI - Bewerten und Prüfen. Zur Relevanz der Figur der Prüfung für die Organisationssoziologie ER - TY - CONF AB - In diesem Beitrag werden die Elemente „Begleitseminar“ und „Begleitforschungsseminar“ des Praxissemesters für Lehramtsstudierende der beruflichen Fachrichtungen Maschinenbautechnik und Elektrotechnik an der Universität Paderborn im Hinblick auf die Veränderungen durch die Covid-19-Pandemie erläutert. AU - Jonas-Ahrend, Gabriela AU - Vernholz, Mats AU - Temmen, Katrin ID - 47605 TI - Digitale Begleitseminare im Praxissemester der gewerblich-technischen Fachrichtungen ER - TY - JOUR AB - Разговорные компьютеризированные агенты совершенствуются, развиваются и получают все более широкое распространение в различных сферах жизни. Теперь искусственный интеллект может вести беседу с человеком, используя сложные разговорные приемы и человекоподобные речевые паттерны. Например, Google Duplex, современный голосовой интерфейс, способен автономно выполнять сервисные телефонные звонки таким образом, что собеседнику не удается опознать в нем робота. С увеличением числа интерактивных коммуникаций человека и компьютера становится очевидной необходимость их изучения: каким образом они происходят, как разрешаются недоразумения и достигаются цели разговора. Статья посвящена эмпирическому изучению взаимодействия между продвинутым разговорным агентом и человеком: в рамках этнометодологии и конверсационного анализа рассмотрены последовательно разворачивающиеся, естественно возникающие речевые практики собеседников, а также порождаемые ими нормативные структуры. Материалом для анализа послужила аудиозапись телефонной беседы между Google Duplex и человеком-оператором. Исследовано, в частности, как достигается разговорное закрытие — микроструктура, требующая кооперации собеседников в организации чередования реплик. Показано, что завершение беседы происходит за счет постепенного достижения эпистемического равновесия между говорящими, несмотря на интеракционные проблемы, возникающие из-за неуместного просодического контура робота. Подчеркивается связь между институциональным контекстом взаимодействия и роботизированной природой не-человеческого собеседника. Полученные результаты закладывают основу для дальнейших исследований специфического порядка во взаимодействии человека и робота и способствуют более глубокому пониманию того, как завершается разговор в пограничных случаях. Благодарности. Статья подготовлена в сотрудничестве с Лабораторией геймификации Сбербанка. Статья подготовлена в рамках гранта, предоставленного Министерством науки и высшего образования Российской Федерации (№ соглашения о предоставлении гранта: 075-15-2020-908). AU - Егорова, Анастасия Игоревна AU - Klowait, Nils ID - 42671 IS - 1 JF - The monitoring of public opinion economic&social changes KW - Economics KW - Econometrics and Finance (miscellaneous) KW - Sociology and Political Science SN - 2219-5467 TI - Как попрощаться с роботом? Исследование достижения разговорного закрытия ER - TY - CHAP AU - Miggelbrink, Monique ED - Müggenburg, Jan ID - 47663 T2 - Reichweitenangst. Batterien und Akkus als Medien des Digitalen Zeitalters TI - Batterien als Medien häuslicher Mobilität: Materialitäten und kulturelle Imaginationen der Überwindung des Zuhauses ER - TY - CHAP AU - Miggelbrink, Monique ED - Nierhaus, Irene ED - Heinz, Kathrin ED - Umbach, Rosanna ID - 47664 T2 - WohnSeiten. Visuelle Konstruktionen des Wohnens in Zeitschriften TI - Home Computer: Wohnen mit dem Computer in Einrichtungszeitschriften ER - TY - JOUR AU - Tünnermann, Jan AU - Scharlau, Ingrid ID - 31675 IS - 4 JF - The Quantitative Methods of Psychology TI - Big-M-small-N temporal-oder judgment data VL - 17 ER - TY - CHAP AU - Miggelbrink, Monique AU - Bartz, Christina ED - Busse, Laura ED - Gehrlach, Andreas ED - Isak, Waldemar ID - 47709 T2 - Selbstbehältnisse. Orte und Gegenstände der Aufbewahrung von Individualität TI - Home-Office - Figurationen häuslicher Arbeit ER - TY - CHAP AU - Bartz, Christina ED - Fan, Jieping ED - Liu, Yongqiang ID - 47712 T2 - Bildforschung aus interdisziplinärer Perspektive TI - Die Gesellschaft im Werbebild. Werbung und das Wissen um Gesellschaft und Telekommunikation ER - TY - JOUR AB - Potassium titanyl phosphate (KTP) is a nonlinear optical material with applications in high-power frequency conversion or quasi-phase matching in submicron period domain grids. A prerequisite for these applications is a precise control and understanding of the poling mechanisms to enable the fabrication of high-grade domain grids. In contrast to the widely used material lithium niobate, the domain growth in KTP is less studied, because many standard methods, such as selective etching or polarization microscopy, provides less insight or are not applicable on non-polar surfaces, respectively. In this work, we present results of confocal Raman-spectroscopy of the ferroelectric domain structure in KTP. This analytical method allows for the visualization of domain grids of the non-polar KTP y-face and therefore more insight into the domain-growth and -structure in KTP, which can be used for improved domain fabrication. AU - Brockmeier, Julian AU - Mackwitz, Peter Walter Martin AU - Rüsing, Michael AU - Eigner, Christof AU - Padberg, Laura AU - Santandrea, Matteo AU - Silberhorn, Christine AU - Zrenner, Artur AU - Berth, Gerhard ID - 23826 JF - Crystals SN - 2073-4352 TI - Non-Invasive Visualization of Ferroelectric Domain Structures on the Non-Polar y-Surface of KTiOPO4 via Raman Imaging ER - TY - CHAP AU - Schneider, Martin R. ED - Zimmermann, Klaus F. ID - 47838 SN - 9783319573656 T2 - Handbook of Labor, Human Resources and Population Economics TI - Labor-Management Relations and Varieties of Capitalism ER - TY - JOUR AB - AbstractQuantum well (QW) heterostructures have been extensively used for the realization of a wide range of optical and electronic devices. Exploiting their potential for further improvement and development requires a fundamental understanding of their electronic structure. So far, the most commonly used experimental techniques for this purpose have been all-optical spectroscopy methods that, however, are generally averaging in momentum space. Additional information can be gained by angle-resolved photoelectron spectroscopy (ARPES), which measures the electronic structure with momentum resolution. Here we report on the use of extremely low-energy ARPES (photon energy ~ 7 eV) to increase depth sensitivity and access buried QW states, located at 3 nm and 6 nm below the surface of cubic-GaN/AlN and GaAs/AlGaAs heterostructures, respectively. We find that the QW states in cubic-GaN/AlN can indeed be observed, but not their energy dispersion, because of the high surface roughness. The GaAs/AlGaAs QW states, on the other hand, are buried too deep to be detected by extremely low-energy ARPES. Since the sample surface is much flatter, the ARPES spectra of the GaAs/AlGaAs show distinct features in momentum space, which can be reconducted to the band structure of the topmost surface layer of the QW structure. Our results provide important information about the samples’ properties required to perform extremely low-energy ARPES experiments on electronic states buried in semiconductor heterostructures. AU - Hajlaoui, Mahdi AU - Ponzoni, Stefano AU - Deppe, Michael AU - Henksmeier, Tobias AU - As, Donat Josef AU - Reuter, Dirk AU - Zentgraf, Thomas AU - Springholz, Gunther AU - Schneider, Claus Michael AU - Cramm, Stefan AU - Cinchetti, Mirko ID - 25227 JF - Scientific Reports SN - 2045-2322 TI - Extremely low-energy ARPES of quantum well states in cubic-GaN/AlN and GaAs/AlGaAs heterostructures VL - 11 ER - TY - GEN AU - Tenberge, Claudia AU - Gödiker, Manon ED - PATT38 Organizing Committee , PATT 38 ID - 40476 TI - The ‚teachwodd training concept’ a contribution to the implementation of practical technological learning in primary schools. ER - TY - CONF AB - With its growing population and industrialization, DREs, and solar technologies in particular, provide a sustainable means of bridging the current energy deficit in Africa, increasing supply reliability and meeting future demand. Data acquisition and data management systems allow real time monitoring and control of energy systems as well as performance analysis. However commercial data acquisition systems often have cost implications that are prohibitive for small PV systems and installations in developing countries. In this paper, a multi-user, multi-purpose microgrid database system is designed and implemented. MAVOWATT 270 power quality analyzers by GOSSEN METRAWATT, raspberry pi modules and sensors are used for measuring, recording and storing electrical and meteorological data in East Africa. Socio-economic data is also stored in the database. The designed system employs open source software and hardware solutions which are best suited to developing regions like East Africa due to the lower cost implications. The expected results promise a comprehensive database covering different electro-technical and socio-economic parameters useful for optimal design of microgrid systems. AU - Kakande, Josephine Nakato AU - Philipo, Godiana Hagile AU - Krauter, Stefan ID - 24540 KW - Art-D KW - Afrika KW - Demand side management KW - MySQL KW - Raspberry pi KW - Data acquisition SN - 3-936338-78-7 T2 - Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021) TI - Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures ER - TY - CHAP AU - Felder, Ekkehard AU - Schuster, Britt-Marie AU - Spranz-Fogasy, Thomas ED - Iakushevich, Marina ED - Ilg, Yvonne ED - Schnedermann, Theresa ID - 37133 KW - Fachkommunikation T2 - Linguistik und Medizin TI - Diagnosen (h)erstellen – Sprachwissenschaftliche Zugänge ER - TY - CHAP AU - Schuster, Britt-Marie ED - Dang-Anh, Mark ED - Meer, Dorothee ED - Wyss, Eva L. ID - 37132 KW - Kommunikationsgeschichte T2 - Protest, Protestieren, Protestkommunikation TI - Widersprechen als diskursive Praktik. Illustriert an der Widerstandskommunikation gegen den Nationalsozialismus (1933–1945) ER - TY - CHAP AU - Schuster, Britt-Marie AU - Wilk, Nicole M. ED - Braun, Christian ID - 37130 KW - Textsemantik T2 - Sprache des Sterbens – Sprache des Todes. Linguistische und interdisziplinäre Perspektivierungen eines zentralen Aspekts menschlichen Daseins TI - Bedeutungsvarianz und sozialer Stil ER - TY - JOUR AB - Multi-objective (MO) optimization, i.e., the simultaneous optimization of multiple conflicting objectives, is gaining more and more attention in various research areas, such as evolutionary computation, machine learning (e.g., (hyper-)parameter optimization), or logistics (e.g., vehicle routing). Many works in this domain mention the structural problem property of multimodality as a challenge from two classical perspectives: (1) finding all globally optimal solution sets, and (2) avoiding to get trapped in local optima. Interestingly, these streams seem to transfer many traditional concepts of single-objective (SO) optimization into claims, assumptions, or even terminology regarding the MO domain, but mostly neglect the understanding of the structural properties as well as the algorithmic search behavior on a problem’s landscape. However, some recent works counteract this trend, by investigating the fundamentals and characteristics of MO problems using new visualization techniques and gaining surprising insights. Using these visual insights, this work proposes a step towards a unified terminology to capture multimodality and locality in a broader way than it is usually done. This enables us to investigate current research activities in multimodal continuous MO optimization and to highlight new implications and promising research directions for the design of benchmark suites, the discovery of MO landscape features, the development of new MO (or even SO) optimization algorithms, and performance indicators. For all these topics, we provide a review of ideas and methods but also an outlook on future challenges, research potential and perspectives that result from recent developments. AU - Grimme, Christian AU - Kerschke, Pascal AU - Aspar, Pelin AU - Trautmann, Heike AU - Preuss, Mike AU - Deutz, André H. AU - Wang, Hao AU - Emmerich, Michael ID - 46318 JF - Computers & Operations Research KW - Multimodal optimization KW - Multi-objective continuous optimization KW - Landscape analysis KW - Visualization KW - Benchmarking KW - Theory KW - Algorithms SN - 0305-0548 TI - Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization VL - 136 ER - TY - CONF AB - Classic automated algorithm selection (AS) for (combinatorial) optimization problems heavily relies on so-called instance features, i.e., numerical characteristics of the problem at hand ideally extracted with computationally low-demanding routines. For the traveling salesperson problem (TSP) a plethora of features have been suggested. Most of these features are, if at all, only normalized imprecisely raising the issue of feature values being strongly affected by the instance size. Such artifacts may have detrimental effects on algorithm selection models. We propose a normalization for two feature groups which stood out in multiple AS studies on the TSP: (a) features based on a minimum spanning tree (MST) and (b) a k-nearest neighbor graph (NNG) transformation of the input instance. To this end we theoretically derive minimum and maximum values for properties of MSTs and k-NNGs of Euclidean graphs. We analyze the differences in feature space between normalized versions of these features and their unnormalized counterparts. Our empirical investigations on various TSP benchmark sets point out that the feature scaling succeeds in eliminating the effect of the instance size. Eventually, a proof-of-concept AS-study shows promising results: models trained with normalized features tend to outperform those trained with the respective vanilla features. AU - Heins, Jonathan AU - Bossek, Jakob AU - Pohl, Janina AU - Seiler, Moritz AU - Trautmann, Heike AU - Kerschke, Pascal ED - Computing Machinery Association, for ID - 46313 T2 - Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of genetic Algorithms (FOGA XVI) TI - On the Potential of Normalized TSP Features for Automated Algorithm Selection ER - TY - CONF AB - In this work we examine the inner mechanisms of the recently developed sophisticated local search procedure SOMOGSA. This method solves multimodal single-objective continuous optimization problems by first expanding the problem with an additional objective (e.g., a sphere function) to the bi-objective space, and subsequently exploiting local structures and ridges of the resulting landscapes. Our study particularly focusses on the sensitivity of this multiobjectivization approach w.r.t. (i) the parametrization of the artificial second objective, as well as (ii) the position of the initial starting points in the search space. As SOMOGSA is a modular framework for encapsulating local search, we integrate Gradient and Nelder-Mead local search (as optimizers in the respective module) and compare the performance of the resulting hybrid local search to their original single-objective counterparts. We show that the SOMOGSA framework can significantly boost local search by multiobjectivization. Combined with more sophisticated local search and metaheuristics this may help in solving highly multimodal optimization problems in future. AU - Aspar, Pelin AU - Kerschke, Pascal AU - Steinhoff, Vera AU - Trautmann, Heike AU - Grimme, Christian ED - et al. Ishibuchi, H. ID - 46311 T2 - Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings TI - Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization ER - TY - JOUR AB - One of the most significant recent technological developments concerns the development and implementation of ‘intelligent machines’ that draw on recent advances in artificial intelligence (AI) and robotics. However, there are growing tensions between human freedoms and machine controls. This article reports the findings of a workshop that investigated the application of the principles of human freedom throughout intelligent machine development and use. Forty IS researchers from ten different countries discussed four contemporary AI and humanity issues and the most relevant IS domain challenges. This article summarizes their experiences and opinions regarding four AI and humanity themes: Crime & conflict, Jobs, Attention, and Wellbeing. The outcomes of the workshop discussions identify three attributes of humanity that need preservation: a critique of the design and application of AI, and the intelligent machines it can create; human involvement in the loop of intelligent machine decision-making processes; and the ability to interpret and explain intelligent machine decision-making processes. The article provides an agenda for future AI and humanity research. AU - Coombs, Crispin AU - Stacey, Patrick AU - Kawalek, Peter AU - Simeonova, Boyka AU - Becker, Jörg AU - Bergener, Katrin AU - Carvalho, João Álvaro AU - Fantinato, Marcelo AU - Garmann-Johnsen, Niels F. AU - Grimme, Christian AU - Stein, Armin AU - Trautmann, Heike ID - 46317 JF - International Journal of Information Management TI - What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective VL - 58 ER - TY - CONF AB - We propose a novel method for automated algorithm selection in the domain of single-objective continuous black-box optimization. In contrast to existing methods, we use convolutional neural networks as the selection apparatus which bases its decision on a so-called ‘fitness map’. This fitness map is a 2D representation of a two dimensional search space where different gray scales indicate the quality of found solutions in certain areas. Our devised approach uses a modular CMA-ES framework which offers the option to create the conventional CMA-ES, CMA-ES with the alternate step-size adaptation and many other variants proposed over the years. In total, 4 608 different configurations are possible where most configurations are of complementary nature. In this proof-of-concept work, we consider a subset of 32 possible configurations. The developed method is evaluated against an excerpt of BBOB functions and its performance is compared against baselines that are commonly used in automated algorithm selection - the best standalone algorithm (configuration) and the best obtainable sequence of configurations. While the results indicate that the use of the fitness map is not superior on every benchmark problem, it indubitably shows its merit on more hard-to-solve problems. This offers a promising perspective for generalizing to other types of optimization problems and problem domains. AU - Prager, Raphael Patrick AU - Vinzent Seiler, Moritz AU - Trautmann, Heike AU - Kerschke, Pascal ID - 46315 T2 - 2021 IEEE Symposium Series on Computational Intelligence (SSCI) TI - Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization ER - TY - CONF AB - Abuse and hate are penetrating social media and many comment sections of news media companies. These platform providers invest considerable efforts to mod- erate user-generated contributions to prevent losing readers who get appalled by inappropriate texts. This is further enforced by legislative actions, which make non-clearance of these comments a punishable action. While (semi-)automated solutions using Natural Language Processing and advanced Machine Learning techniques are getting increasingly sophisticated, the domain of abusive language detection still struggles as large non-English and well-curated datasets are scarce or not publicly available. With this work, we publish and analyse the largest annotated German abusive language comment datasets to date. In contrast to existing datasets, we achieve a high labelling standard by conducting a thorough crowd-based an- notation study that complements professional moderators’ decisions, which are also included in the dataset. We compare and cross-evaluate the performance of baseline algorithms and state-of-the-art transformer-based language models, which are fine-tuned on our datasets and an existing alternative, showing the usefulness for the community. AU - Assenmacher, Dennis AU - Niemann, Marco AU - Müller, Kilian AU - Seiler, Moritz V. AU - Riehle, Dennis M. AU - Trautmann, Heike ID - 46312 T2 - Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021) TI - RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets ER - TY - CHAP AU - Foerster, Anne ED - Stieldorf, Andrea ID - 40922 T2 - Geschlecht macht Herrschaft – Interdisziplinäre Studien zu vormoderner Macht und Herrschaft / Gender Power Sovereignty – Interdisciplinary Studies on Premodern Power TI - Gender and Authority – The Entanglement of Two Concepts in High Medieval Historiography VL - 15 ER - TY - CHAP AU - Foerster, Anne ED - Toepfer, Regina ED - Wahring, Bettina ID - 40921 T2 - Kinderlosigkeit im Mittelalter TI - Die Witwenschaft kinderloser Königinnen im Hochmittelalter VL - 26,2 ER -