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Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise forevolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classicalcomputing and digital twin concepts with quantum processing. This paperpresents the status quo of research and practice on quantum (digital) twins. It alsodiscuses their potential to create competitive advantage through real-timesimulation of highly complex, interconnected entities that helps companies better
address changes in their environment and differentiate their products andservices.
Image reconstruction analysis for positron emission tomography with heterostructured scintillators
(2022)
The concept of structure engineering has been proposed for exploring the next generation of radiation detectors with improved performance. A TOF-PET geometry with heterostructured scintillators with a pixel size of 3.0×3.1×15 mm3 was simulated using Monte Carlo. The heterostructures consisted of alternating layers of BGO as a dense material with high stopping power and plastic (EJ232) as a fast light emitter. The detector time resolution was calculated as a function of the deposited and shared energy in both materials on an event-by-event basis. While sensitivity was reduced to 32% for 100 μm thick plastic layers and 52% for 50 μm, the CTR distribution improved to 204±49 ps and 220±41 ps respectively, compared to 276 ps that we considered for bulk BGO. The complex distribution of timing resolutions was accounted for in the reconstruction. We divided the events into three groups based on their CTR and modeled them with different Gaussian TOF kernels. On a NEMA IQ phantom, the heterostructures had better contrast recovery in early iterations. On the other hand, BGO achieved a better contrast to noise ratio (CNR) after the 15th iteration due to the higher sensitivity. The developed simulation and reconstruction methods constitute new tools for evaluating different detector designs with complex time responses.
Industrial production systems are facing radical change in multiple dimensions. This change is caused by technological developments and the digital transformation of production, as well as the call for political and social change to facilitate a transformation toward sustainability. These changes affect both the capabilities of production systems and companies and the design of higher education and educational programs. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these concepts, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the capabilities dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we discuss the benefits of capturing expert knowledge and making it accessible to newcomers, especially in highly specialized industries. The experts argue that in order to cope with the challenges and circumstances of today’s world, students must already during their education at university learn how to work with AI and other technologies. This means that study programs must change and that universities must adapt their structural aspects to meet the needs of the students.
Diversity management is seen as a decisive factor for ensuring the development of socially responsible innovations (Beacham and Shambaugh, 2011; Sonntag, 2014; López, 2015; Uebernickel et al., 2015). However, many diversity management approaches fail due to a one-sided consideration of diversity (Thomas and Ely, 2019) and a lacking linkage between the prevailing organizational culture and the perception of diversity in the respective organization. Reflecting the importance of diverse perspectives, research institutions have a special responsibility to actively deal with diversity, as they are publicly funded institutions that drive socially relevant development and educate future generations of developers, leaders and decision-makers. Nevertheless, only a few studies have so far dealt with the influence of the special framework conditions of the science system on diversity management. Focusing on the interdependency of the organizational culture and diversity management especially in a university research environment, this chapter aims in a first step to provide a theoretical perspective on the framework conditions of a complex research organization in Germany in order to understand the system-specific factors influencing diversity management. In a second step, an exploratory cluster analysis is presented, investigating the perception of diversity and possible influencing factors moderating this perception in a scientific organization. Combining both steps, the results show specific mechanisms and structures of the university research environment that have an impact on diversity management and rigidify structural barriers preventing an increase of diversity. The quantitative study also points out that the management level takes on a special role model function in the scientific system and thus has an influence on the perception of diversity. Consequently, when developing diversity management approaches in research organizations, it is necessary to consider the top-down direction of action, the special nature of organizational structures in the university research environment as well as the special role of the professorial level as role model for the scientific staff.
Promoting diversity and combatting discrimination in research organizations: a practitioner’s guide
(2022)
The essay is addressed to practitioners in research management and from
academic leadership. It describes which measures can contribute to creating an inclusive climate for research teams and preventing and effectively dealing with discrimination. The practical recommendations consider the policy and organizational levels, as well as the individual perspective of research managers. Following a series of basic recommendations, six lessons learned are formulated, derived from the contributions to the edited collection on “Diversity and Discrimination in Research Organizations.”
Kommunikationsroboter für den Kundenservice. Aktuell werden große Fortschritte im Bereich von künstlicher Intelligenz und Robotik getätigt, sodass wir bald intelligente Maschinen unter uns haben werden. Daher müssen wir uns die Frage beantworten, welche Rolle diese einnehmen sollen und vor allem wie wir mit ihnen interagieren und kommunizieren wollen. "uCo" bewältigt dies mithilfe einer mobilen, robotischen Plattform, welche mit einem holografischen 3-D-Interface ausgestattet ist. Neben der Entwicklung des robotischen Körpers beinhaltet das Projekt "uCo" die Grundlage für ein Kommunikationssystem für "uCo's" Gesicht. "uCo" kommuniziert hauptsächlich über Sprache, wird dabei jedoch von einem speziell entwickelten Mimik- und Emotionssytem unterstützt. "uCo" als Konzept versucht, erste Antworten auf die komplexen gestalterischen und moralischen Fragen zu geben, die mit der Entwicklung von künstlicher Intelligenz einhergehen. Und wer weiß - vielleicht wirst du eines Tages von einem "uCo" beraten.
Gastronomiebetriebe, insbesondere diese ohne zeitgemäße und durchdachte Konzepte wurden durch die Pandemie stark getroffen. Während große Fast-Food-Ketten bereits vor der Pandemie digitale Lösungen einsetzten, stehen nun auch andere Restaurantbetreiber:innen vor der Herausforderung der Digitalisierung. Gerade die Pandemie hat an dieser Stelle verdeutlicht, welche Restaurants ihre Prozesse im Sinne der User Experience durchdacht haben und welche nicht. Die Tisch-Stuhl-Kombination der „SUE“-Serie bietet Restaurants, smarte und elegante Gastronomiemöbel, die je nach Konzept in Materialität und Farbe frei anpassbar sind. Wandelbarkeit, Komfort und die Integration digitaler Lösungen sind die Kernkompetenzen und Anforderungen, die das Gastronomie-Interior in Zukunft erfüllen muss. Der smarte Bistrotisch und der wandelbare Stuhl der „SUE“-Serie zeigt einen digitalisierten und anpassbaren Lösungsansatz.
Kouyou : Ort im Raum
(2022)
Selbstliebe, der Moment der Ruhe, sich eine mentale Pause erlauben und von allem bewusst abzuschalten, sind aktuelle Themen unserer Gesellschaft. Die Zeit, in der wir leben, bewegt sich in einer Geschwindigkeit, die alle unsere Sinne überlastet und uns nicht mehr erlaubt, selbst zuzuhören oder volle Momente der Ruhe zu erleben. Thema der Bachelorarbeit ist der Entwurf eines Sitzmöbels, welches inspiriert ist durch die sakralische Architektur. Der Stuhl soll das Gefühl von Umformung und Leichtigkeit vermitteln. Er ist aus Eiche gebaut und unterstützt den Menschen in seiner bewussten Sitzhaltung. Die Eiche ist ein Baum, der für Kraft, Durchhaltevermögen und Gerechtigkeit steht. Es heißt auch, wenn man eine Eiche sieht, sie umarmen soll, da sie heilende Kräfte hat. Hier ist aber die Eiche, die den Menschen symbolisch umarmen soll, wenn man auf ihr sitzt. Und somit spielen Architektur, Möbel und der Mensch eine spielende Rolle, und zwar ist es die menschliche Haltung im Raum.
The future of industrial manufacturing and production will increasingly manifest in the form of cyber-physical production systems. Here, Digital Shadows will act as mediators between the physical and digital world to model and operationalize the interactions and relationships between different entities in production systems. Until now, the associated concepts have been primarily pursued and implemented from a technocentric perspective, in which human actors play a subordinate role, if they are considered at all. This paper outlines an anthropocentric approach that explicitly considers the characteristics, behavior, and traits and states of human actors in socio-technical production systems. For this purpose, we discuss the potentials and the expected challenges and threats of creating and using Human Digital Shadows in production.
Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030.