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 -