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We present a comprehensive analysis of the neural audio-visual synchrony evaluation tool SyncNet. We assess the agreement of SyncNet scores vis-a-vis human perception and whether we can use these as a reliable metric for evaluating audio-visual lip-synchrony in generation tasks with no ground truth reference audio-video pair. We further look into the underlying elements in audio and video which vitally affect synchrony using interpretable explanations from SyncNet predictions and analyse its susceptibility by introducing adversarial noise. SyncNet has been used in numerous papers on visually-grounded text-to-speech for scenarios such as dubbing. We focus on this scenario which features many local asynchronies (something that SyncNet isn’t made for).
Development trends for computing platforms moved from increasing the frequency of a single processor to increasing the parallelism with multiple cores on the same die. Multiple cores have strong potential to support cost-efficient fault tolerance due to their inherent spatial redundancy. This work makes a step towards software-only fault tolerance in the presence of permanent and transient hardware faults. Our approach utilizes software-based spatial triple modular redundancy and coded processing on a shared memory multi-core controller. We evaluate our approach on an Infineon AURIX TriBoard TC277 and provide experimental evidence for error resistance by fault injection campaigns with an iSystem iC5000 On-chip Analyzer.
A new approach to coat PA12 powders with laser-generated nanoparticles for selective laser sintering
(2018)
The modification of selective laser sintering (SLS) powder materials by nanoadditives offers the possibility to adapt the powder properties to the laser sintering process or the resulting part properties. To avoid agglomeration of the nanofiller, a new approach in which surfactant-free laser-generated colloidal nanoparticles are adsorbed onto the polymer surface directly in an aqueous solution is demonstrated. Based on this novel approach, polyamide 12 (PA12) powders are decorated with metal and oxide nanoparticles and processed via SLS. Electron microscopy and confocal laser scanning imaging are utilized to analyze the dispersion of the filler.
A Parametrization Scheme for High Performance Thermal Models of Electric Machines using Modelica
(2012)
Thermal models offer great advantages for enhancement of design, protection and control of electric machines. Detailed thermal models take a great number of time constants into account and provide accurate prediction of the temperatures. However, to parameterize such models detailed geometric data are needed. Whenever such detailed information is not available, or the performance of the detailed models is not satisfying, simplified thermal models as described in this paper are advantageous. The calculation of parameters is described in detail, in order to achieve best accordance with temperatures obtained from measurements or from simulations with detailed thermal models. Thermal resistances are calculated from end temperatures of a test run with constant load (and known losses). Thermal capacitances are obtained using optimization to minimize deviation of simulated and measured temperatures during the whole test run. The thermal model of an asynchronous induction machine with squirrel cage is coupled with an electrical model of the drive. For validation, simulation results of an optimally parameterized simplified model are compared with temperatures obtained by simulation of a detailed thermal model, which in turn has been validated against measurement results, both for continuous duty S1 and intermittent duty S6 (6 minutes no-load followed by 4 minutes of 140% nominal load). The deviations are not more than 4 K which is quite satisfying.
Adding experts’ perceptions to complement existing research on information systems backsourcing
(2018)
This paper extends the existing literature on information systems (IS) backsourcing by the perception of practitioners.
For this purpose, we conducted a series of qualitative, semistructured interviews with IS sourcing experts. The interview questions focused on the participants’ perceptions and experiences with the topic, on identifying reasons for and against IS backsourcing, and on revealing relevant trends pertinent to IS backsourcing. We then compared those
findings with two previously conducted comprehensive literature reviews on academic and practitioner literature on IS backsourcing. By following this approach, we contribute to the existing research by verifying previous findings, for example, the most important reasons why companies decide in favor of IS backsourcing. Additionally, we were able to enhance previous contributions as we highlight the significance of differentiating between the scope of IS backsourcing
by looking at the underlying services which are potentially backsourced. Further, we identified the importance of managers’ personal preferences as an additional reason for IS backsourcing, for example, based on personal experiences or a perceived need for change. Based on our findings, we created a comprehensive overview of all aspects connected to the IS backsourcing process and derived opportunities for further research to contribute to the IS backsourcing research agenda.
Akademische Weiterbildung im sozialen Bereich erfordert innovative Konzepte, die sich an der Lebenswirklichkeit der Studierenden orientieren. Berufsbegleitende Bachelorformate reagieren auf den Bedarf an grundständiger akademischer Bildung, die Mischung von Präsenz- und digitalen Lehr- und Lernformaten schafft Flexibilität im Studium und eine dezentrale Organisation ermöglicht wohnortnahe Präsenzlehre in Kleingruppen, die durch Kooperation mit Sozialträgern in den Regionen ergänzt wird. Ein Ansatz ist der berufsbegleitende Bachelorstudiengang Soziale Arbeit (BABS) an der OTH Regensburg, der sich mit einem grundständigen Studienangebot an Erzieher:innen, Heilpädagog:innen und Heilerziehungspfleger:innen richtet und neben anderen Modellen in diesem Sammelband untersucht wird. In Beiträgen zu Theorie, Empirie und Praxis reflektieren die Autor:innen die Konzepte und schildern Erfahrungen mit berufsbegleitendem Studium im sozialen Bereich.
Abstract Social network analysis is extremely well supported by the R community and is routinely used for studying the relationships between people engaged in collaborative activities. While there has been rapid development of new approaches and metrics in this field, the challenging question of validity (how well insights derived from social networks agree with reality) is often difficult to address. We propose the use of several R packages to generate interactive surveys that are specifically well suited for validating social network analyses. Using our web-based survey application, we were able to validate the results of applying community-detection algorithms to infer the organizational structure of software developers contributing to open-source projects.
Im vorliegenden Artikel werden Vorarbeiten zur Entwicklung eines Betriebsdatenverwaltungssystems für Intralogistikanlagen des Herstellers TGW Software Services beschrieben. Das beschriebene Vorgehen umfasst dabei im Wesentlichen vier Schritte.
Zunächst wird der aktuelle Stand in der Software des betrachteten Unternehmens hinsichtlich des Sammelns, Speicherns und Auswertens von Betriebsdaten analysiert.
Daran schließt sich eine Anforderungsanalyse für die Betriebsdatenverwaltung an. Zusammen mit den betroffenen Entwicklungsleitern werden die grundlegenden Ziele und Grenzen der zu entwickelnden Betriebsdatenverwaltung definiert. Es werden Quellen von Anforderungen für die Komponente gesammelt und alle funktionalen und nichtfunktionalen Anforderungen anhand dieser Quellen erarbeitet.
Basierend darauf wird ein erstes Modell erstellt, das die Entitäten, Beziehungen und Abläufe, die sich aus den ermittelten funktionalen Anforderungen ergeben, in konsolidierter Form zusammenfasst. Dieses wird zusammen mit einigen Überlegungen, die zu diesem Modell geführt haben, beschrieben.
Zuletzt werden dann verschiedene mögliche Konzepte zum grundlegenden technischen Aufbau einer Implementierung der Betriebsdatenverwaltung diskutiert, um schließlich anhand der definierten Qualitätsziele eine Empfehlung für einen Konzeptvorschlag abzugeben.
Ressourcenbelegungsplanungsprobleme haben fast immer exponentiell wachsende Lösungsräaume. Ausnahmen sind einfachste Ressourcenbelegungsplanungsprobleme die sich im wesentlichen durch Sortierverfahren optimal lösen lassen.
Dadurch sind Ressourcenbelegungsplanungsprobleme NP-vollständig. Nach der Literatur haben Lösungsräume von einigen NP-vollständigen
Optimierungsproblemen günstige Eigenschaften, die Metaheuristiken, wie genetische Algorithmen und lokale Suche, ausnutzen, um in vertretbarer
Rechenzeit gute Lösungen zu finden. Zu Ihrer Erkennung gibt es in der Literatur etablierte Analysemöglichkeiten. Sie werden in dieser Arbeit auf die Ressourcenbelegungsplanung übertragen und ihre Wirkung bzw. die auftretenden Schwierigkeiten werden anhand von einfachen Problemen aufgezeigt.
In modern manufacturing systems, milk run (MR) systems represent route-based, cyclic material-handling systems that are used widely and enable frequent deliveries of containerized parts in small lot sizes from a central storage area to multiple points of use on the factory floor. Usually, deliveries take place at predetermined, constant time intervals. As in real-world MR systems, the number of containers to deliver in each interval varies in the short term, peaks in the number of deliveries may lead to capacity bottlenecks and late deliveries. In this paper, we develop three alternative strategies to determine starting times of MR cycles in real-time based on the current number of delivery orders in the system aiming to better handle variations in the number of orders. We evaluate the three strategies for different system load scenarios with respect to delivery service levels, order lead times, systems utilization and necessary number of MR trains using a discrete-event simulation model.