Hochschule für Technik und Wirtschaft Berlin
Recent publications
The Iceberg Model, derived from Systems Thinking, is one of the powerful methods for understanding the hidden dynamics and complexities that influence decision making. By examining the various layers of the iceberg metaphorically, one can gain a deeper understanding of the interconnectedness and interdependencies within systems, enabling to make more informed and connected decisions and foster sustainable change in a complex world. By applying the Iceberg Model in the context of serious games, Systemic Design Oriented Leadership (SDOL) in particular could gain a holistic understanding of the hidden dynamics that determine behaviour and outcomes within their organizations. A serious game of this nature has the capacity to augment a leadership learning culture that fosters the investigation of cognitive frameworks, the interrogation of presumptions, and the cultivation of critical thinking. Through dialogue and reflection, SDOL could surface underlying beliefs and values. SDOLthat embraces the gamification of the Iceberg Model might effectively drive sustainable change in a playful manner. By focusing the gameplay on levels such as “mental models” and “systemic structures”, SDOL can design interventions that address the root causes of challenges rather than applying quick fixes. The Iceberg Model as a serious game fosters a culture of continuous improvement and adaptability, positioning the organization for long-term success. This paper explores the application of the Iceberg Model as a physical serious game in SDOL, highlighting its significance in identifying and addressing underlying factors that impact organizational behavior and performance.
Electrospun porous carbon nanofiber mats have excellent properties, such as a large surface area, tunable porosity, and excellent electrical conductivity, and have attracted great attention in energy storage and power generation applications. Moreover, due to their exceptional properties, they can be used in dye-sensitized solar cells (DSSCs), membrane electrodes for fuel cells, catalytic applications such as oxygen reduction reactions (ORRs), hydrogen evolution reactions (HERs), and oxygen evolution reactions (OERs), and sensing applications such as biosensors, electrochemical sensors, and chemical sensors, providing a comprehensive insight into energy storage development and applications. This study focuses on the role of electrospun porous carbon nanofiber mats in improving energy storage and generation and contributes to a better understanding of the fabrication process of electrospun porous carbon nanofiber mats. In addition, a comprehensive review of various alternative preparation methods covering a wide range from natural polymers to synthetic carbon-rich materials is provided, along with insights into the current literature.
By establishing an infrastructure for monitoring and blocking networks in accordance with European Union (EU) law on preventive measures against the spread of information, EU member states have also made it easier to block websites and services and monitor information. While relevant studies have documented Internet censorship in non‐European countries, as well as the use of such infrastructures for political reasons, this study examines network interference practices such as website blocking against the backdrop of an almost complete lack of EU‐related research. Specifically, it performs and demonstrates an analysis for the total of 27 EU countries based on three different sources. They include first, tens of millions of historical network measurements collected in 2020 by Open Observatory of Network Interference volunteers from around the world; second, the publicly available blocking lists used by EU member states; and third, the reports issued by network regulators in each country from May 2020 to April 2021. Our results show that authorities issue multiple types of blocklists. Internet Service Providers limit access to different types and categories of websites and services. Such resources are sometimes blocked for unknown reasons and not included in any of the publicly available blocklists. The study concludes with the hurdles related to network measurements and the nontransparency from regulators regarding specifying website addresses in blocking activities.
Traditional metallography relies on the imaging of individual section planes. However, conclusions as to spatial shapes and microstructural arrangements can only be drawn to a limited extent. The idea to reconstruct three-dimensional microstructures from metallographic serial sections is therefore obvious and not at all new. However, the manual process of preparing a great number of individual sections and assembling them into image stacks is time-consuming and laborious and therefore constitutes an obstacle to frequent use. This is why the Federal Institute for Materials Research and Testing, or BAM for short ( Bundesanstalt für Materialforschung und -prüfung ), is developing a robot-assisted 3D metallography system performing the tasks of preparation and image acquisition on a metallographic section fully automatically and repeatedly. Preparation includes grinding, polishing and optional etching of the section surface. Image acquisition is performed using a light optical microscope with autofocus at several magnification levels. The obtained image stack is then pre-processed, segmented and converted to a 3D model resembling a microtomographic image, but with a higher lateral resolution at large volumes. As opposed to tomographic techniques, it is possible to perform traditional chemical etching for contrasting. The integration of a scanning electron microscope is in the planning stages. Studies conducted so far have demonstrated the possibility of visualizing hot gas corrosion layers, gray cast irons and ceramic-based microelectronic structures (vias).
The focus of our research activities is on automation technology. We deal with distributed automation systems, reliability and security in industrial automation systems, Industry 4.0, Intelligent Automated Systems, and Web and App Technologies in Automation.
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6,489 members
Patrick Ostendorf
  • Fachbereich Wirtschaftswissenschaften I
Frank Fuchs-Kittowski
  • Department of Engineering II
Holger Lütters
  • Fachbereich Wirtschaftswissenschaften I
Steffen Borchers-Tigasson
  • Energy and Information
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