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Rapid Prototyping Plattformen reduzieren die Entwicklungszeit, indem das Überprüfen einer Idee in Form eines Prototyps schnell umzusetzen ist und mehr Zeit für die eigentliche Anwendungsentwicklung mit Benutzerschnittstellen zur Verfügung steht. Dieser Ansatz wird schon lange bei technischen Plattformen, wie bspw. dem Arduino, verfolgt. Um diese Form von Prototyping auf Wearables zu übertragen, wird in diesem Paper WearIT vorgestellt. WearIT besteht als Wearable Prototyping Plattform aus vier Komponenten: Einer Weste, Sensor- und Aktorshieldss, einer eigenen bibliothek sowie einem Mainboard bestehend aus Arduino, Raspberry Pi, einer Steckplatine und einem GPS-Modul. Als Ergebnis kann ein Wearable Prototyp schnell, durch das Anbringen von Sensor- und Aktorshields an der WearIT Weste, entwickelt werden. Diese Sensor- und Aktorshields können anschließend durch die WearIT-Bibliothek programmiert werden. Dafür kann über Virtual Network Computing (VNC) mit einem entfernten Rechner auf die Bildschirminhalte des Rasperry Pis zugegriffen und der Arduino programmiert werden.
Enterprises and societies currently face crucial challenges, while Society 5.0 can contribute to a supersmart society, especially for manufacturing and healthcare, and Industry 4.0 becomes important in the global manufacturing industry. Smart energy digital platforms are architected to manage energy supply efficiently. Furthermore, the above digital platforms are expected to collect various kinds of data and analyze Big Data for the trends in the sharing economy in ecosystems. The adaptive integrated digital architecture framework (AIDAF) for Design Thinking Approach with Risk Management is expected to make an alignment with digital IT strategy. In this paper, we propose that various energy management systems and related digital platforms are designed and implemented in an alignment to digital IT strategy for sharing economy toward Society 5.0, with the AIDAF framework for Design Thinking Approach with Risk Management. The vision of AIDAF applications to enable sharing economy and digital platforms is explained and extended in the context of Society 5.0. In addition, challenges and future activities for this area are discussed that cover the directions of smart energy for Society 5.0.
Im Rahmen dieser Arbeit wurde ein urbaner Mixed-Reality Fahrsimulator umgesetzt. Die reale Umgebung wird hierbei in einer Greenscreen-Kammer mit Hilfe von Kamerabildern aus Nutzersicht und einem Chroma Key Shader innerhalb der virtuellen Umgebung sichtbar gemacht. Dies soll die Immersion und die Interaktivität innerhalb der virtuellen Umgebung durch die Darstellung und Verwendung von realen Elementen erhöhen.
Als virtuelle Umgebung wurde eine zufallsgenerierte Stadt geschaffen, in der KI-Fahrzeuge fahren. Die Ergebnisse der Entwicklung dieses Fahrsimulators werden in dieser Arbeit erläutert.
Der Fahrsimulator soll der Entwicklung von menschzentrierten Human-Machine-Interfaces und Motion-Capture-Komponenten dienen.
Turning complainers into fans : towards a framework for customer services in social media channels
(2012)
In recent years, marketing scholars have invested heavily in exploring the role of social media in marketing theory and practice. One valuable strategy for using social media in marketing communication is to provide customer services in applications like Facebook or Twitter. This paper evaluates a) the concept of perceived service quality in different service channels and b) the impact customer service strategies have on customer loyalty, word of mouth communication, and cross-sell preferences. The framework presented here is tested cross-channel against data collected from the customer service department of a large telecommunication provider. The results elucidate the effectiveness of customer service strategies in different channels.
Suppliers need to improve their relational capabilities if they are to enhance customer trust. Debate about such capabilities is dominated by an interpersonal approach. This paper provieds novel marketing options by expanding insights into alternative types of relational capabilities. Furthermore, the moderating role of customer preferences on the effectiveness of relational capabilities is evaluated.
Due to the consequential impact of technological breakdowns, companies have to be prepared to deal with breakdowns or even better prevent them. In today's information technology, several methods and tools exist to downscale this concern. Therefore, this paper deals with the initial determination of a resilient enterprise architecture supporting predictive maintenance in the information technology domain and furthermore, concerns several mechanisms on how to reactively and proactively secure the state of resiliency on several abstraction levels. The objective of this paper is to give an overview on existing mechanisms for resiliency and to describe the foundation of an optimized approach, combining infrastructure and process mining techniques.
Automatisierte Analyse von Review-Daten beschäftigt sich mit den Möglichkeiten, freien Text zu analysieren und relevante Informationen daraus zu extrahieren. Die Arbeit setzt sich dabei mit Methoden des unüberwachten Lernens auseinander. Hierbei steht die Methode der Topic Modellierung im Mittelpunkt. Es werden Verfahren betrachtet, die im Bereich der textbasierten Informationsgewinnung bekannt sind. Latent Semantic Indexing LSI, (probabilistic) pLSI und Latent Dirichlet Allocation (LDA) werden erläutert und verglichen. Die Arbeit zeigt, wie LDA genutzt wurde, um einen nhaltlichen Überblick über einen Datenkorpus von 1 Mio. Reviews zu bekommen und diesen auf einen feineren Detailgrad zu betrachten. Die Topic-basierte Analyse wird genutzt, um Erkentnisse für ein Opinion Mining System zu generieren, welches eine tiefergehende Analyse vornehmen wird. Der gesamte Prozess ist als vollständig automatisiert und maschinell unüberwacht konzeptioniert.
Theoretical foundation, effectiveness, and design artefact for machine learning service repositories
(2022)
Machine learning (ML) has played an important role in research in recent years. For companies that want to use ML, finding the algorithms and models that fit for their business is tedious. A review of the available literature on this problem indicates only a few research papers. Given this gap, the aim of this paper is to design an effective and easy-to-use ML service repository. The corresponding research is based on a multi-vocal literature analysis combined with design science research, addressing three research questions: (1) How is current white and gray literature on ML services structured with respect to repositories? (2) Which features are relevant for an effective ML service repository? (3) How is a prototype for an effective ML service repository conceptualized? Findings are relevant for the explanation of user acceptance of ML repositories. This is essential for corporate practice in order to create and use ML repositories effectively.
The digital twin concept has been widely known for asset monitoring in the industry for a long time. A clear example is the automotive industry. Recently, there has also been significant interest in the application of digital twins in healthcare, especially in genomics in what is known as precision medicine. This work focuses on another medical speciality where digital twins can be applied, sleep medicine. However, there is still great controversy about the fundamentals that constitute digital twins, such as what this concept is based on and how it can be included in healthcare effectively and sustainably. This article reviews digital twins and their role so far in what is known as personalized medicine. In addition, a series of steps will be exposed for a possible implementation of a digital twin for a patient suffering from sleep disorders. For this, artificial intelligence techniques, clinical data management, and possible solutions for explaining the results derived from artificial intelligence models will be addressed.
Relationship Marketing (RM) presumes trust as an important antecedent for the performance of interfirm relationships. Current research is dominated by an interpersonal perspective. In this research tack, trust chiefly emerges as a result of interpersonal relationships. But multiple risks arise if customer trust rests solely on elements inextricably linked to single representatives. Hence, this paper evaluates the impact of organizational capabilities and the moderating role of customer preferences on the trust creation process. The framework presented here is tested cross-industry on 220 customers for IT solutions. The results offer significant insight into the effectiveness of individual and organizational RM strategies.