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Cyber security in family businesses - empirical assessments from the perspective of German SMEs
(2020)
Organizational Aspects of Cyber Security in Family Firms – an Empirical Study of German Companies
(2021)
Adoption of Digital Technologies in Management Accounting – an Empirical Study of German SMEs
(2021)
Adoption of artificial intelligence technologies in German SMEs — Results from an empirical study
(2021)
Adoption of Artificial Intelligence Technologies in German SMEs – Results from an Empirical Study
(2021)
One Single Click is enough – an Empirical Study on Human Threats in Family Firm Cyber Security
(2021)
The effect of personality and gender on individuals' propensity for corruption and corrupt behavior
(2020)
Synchronization and Control of Modular AC- and DC-Sided Parallel-Connected Three-Level NPC Inverters
(2018)
Nowadays, businesses with focus on consumer-products are challenged by short production cycles, high pricing pressure, and the need to deliver new features and services in a regular interval. Currently, businesses are tackling these challenges by automating their business pro- cesses, while yet trying to be flexible by introducing methods for process variability modeling. However, for larger processes and variability models, it becomes difficult to consider, maintain, and optimize all process variations in the various execution contexts. In software development, highly agile requirements are usually tackled with a flexible microservice architecture. Nonetheless, the fast-changing service landscape is often not fully reflected in the underlying business processes, leading to inefficiency and loss of profit. With this work, we extend our framework for process variability modeling with concepts of Microflows, allowing agile business process modeling and orchestration while utilizing the full flexibility of underlying microservices. In addition, we present a case study, showing how this approach is used in the context of an IoT application
Preliminary study: Polishing force measurement by viscosity - the return of ketchup polishing
(2021)
Direct Digital Manufacturing - The Role of Cost Accounting for Online Hubs to Access Industry 4.0
(2021)
Parameter Identification and Optimization of an Oceanographic Monitoring Remotely Operated Vehicle
(2018)
A Systemtic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery
(2020)
Improved light scattering characterization by BSDF of automotive interior and 3D printed materials
(2021)
Additive manufacturing of optical elements out of polymer allow new design concepts for optics. The parts are built up layer by layer. Unlike polymer binding with glass particles with its sintering process no secondary step is necessary for polymer printing to create the final part. With more and more printers and transparent materials available, this technology becomes more and more relevant for prototyping or custom optics. Therefor a deep understanding of the optical effects in the part is desirable. Key property of optical elements is the refractive index. The materials for polymer printing are most commonly resins that cure under UV-exposure and show lower refractive indices in liquid phase than cured. Assuming a dependency of the refractive index on the grade of polymerization and therefor the UV-exposure, the layering process of additive manufacturing causes variations of the refractive index within the part. Using the Scanning Focused Refractive Index Microscopy, the distribution of the refractive index within and between the layers is analyzed. The analysis includes comparisons between raw parts after printing and parts after UV post curing. Additionally, layer free samples from a Continuous Liquid Interface Printing System are examined for the homogeneity of the refractive index distribution. The purpose of the presentation is to give a detailed insight into the optical effects occurring at the layer interfaces of elements created by additive manufacturing. Possible use cases of the refractive index distributions within the part are also discussed.