Tue use of BIM-modeling (BIM) within the building life cycle depends on different (specialist) models as well as a detailed as-built-model. The legally compliant transfer of data and models is decisive for the vision of a consistent use of BIM. Past legal research has mainly dealt with the question of copy and IP rights in contracts. The new EU legal framework of data law is now a game changer as codified legal rules for data use are on their way. The paper will reflect these requirements and link them to the relevant ISO norms. The paper will show how legal governance of BIM-models can be designed by a consistent model rights management which is linked to the technical delivery of information and present guidelines for a legally compliant transfer of BIM-models and data, promoting the trustworthy sharing of data and models within the building life cycle.

In this work we are describing our preliminary experimental evaluation of open-source machine learning based pose estimation solutions for tracking a surfer’s skeleton on a stationary wave. We are briefly describing the sport’s environment and development and the current state-of-the-art of machine learning based single camera 2D and 3D pose estimation solutions. The main part of the paper deals with the experiment’s setup and the interpretation of the resulting data of the movements of one surfer. We are closing with our lessons learned and our next steps. 

We present ASR Bundestag, a dataset for automatic speech recognition in German, consisting of 610 hours of aligned audio-transcript pairs for supervised training as well as 1,038 hours of unlabeled audio snippets for self-
supervised learning, based on raw audio data and transcriptions from plenary sessions and committee meetings of the German parliament. In addition, we discuss utilized approaches for the automated creation of speech datasets and assess the quality of the resulting dataset based on evaluations and finetuning of a pre-trained state of the art model. We make the dataset publicly available, including all subsets.

Nacht der Wissenschaften, Hof, 23.06.2023

Nacht der Wissenschaften, Hof, 23.06.2023

Nacht der Wissenschaften, Hof, 23.06.2023

Das Thema Künstliche Intelligenz (KI) findet auch im Kulturmarketing immer mehr Anwendung und bietet dabei vielfältige Optimierungsmöglichkeiten. Welche Chancen und Herausforderungen damit für die operativen Aufgaben, Prozesse und notwendigen Kompetenzen im Kulturmarketing einhergehen, erklärt uns Andreas Wagener, Professor für E-Commerce und Social Media an der Hochschule Hof.

Im Zuge der Covid-Pandemie hat sich insbesondere in China der Trend des “live-eCommerce“ verstärkt, der dort im Jahr 2022 auf ein Volumen von 43,2 Milliarden Yuan geschätzt wird (etwa €6Mrd.) Dieser lässt sich in etwa als „digitales Teleshopping“ umschreiben und umfasst oft eine intensive Interaktion mit dem Publikum. Zuschauer können „live“ Fragen zu präsentierten Produkten stellen. Grundsätzlich lässt sich dies auch in den virtuellen Welten realisieren, wie zum Beispiel der chinesische Handelsriese AliBaba mit seinem Ansatz auf der Plattform TaoBao zeigt. Dort entstehen eigene dreidimensionale virtuelle Shopping-Umgebungen, die per Avatar besuchbar und „erlebbar“ sind. Die einzelnen Verkaufsabteilungen und Geschäfte sind mit – virtualisierten – Mitarbeitern besetzt, welche die Kunden in „Echtzeit“ beraten. Zu festen Terminen sollen zudem – analog zu dem bereits praktizierten „gewöhnlichen“ online-Live-Shopping – interaktive Verkaufsveranstaltungen und Produktpräsentation stattfinden.

Contact Tracing Apps (CTAs) have been developed to contain the coronavirus disease 19 ( COVID-19) spread. By design, such apps invade their users’ privacy by recording data about their health, contacts, and—partially—location. Many CTAs frequently broadcast pseudorandom numbers via Bluetooth to detect encounters. These numbers are changed regularly to prevent individual smartphones from being trivially trackable. However, the effectiveness of this procedure has been little studied.

We measured real smartphones and observed that the German Corona-Warn-App (CWA ) exhibits a device-specific latency between two subsequent broadcasts. These timing differences provide a potential attack vector for fingerprinting smartphones by passively recording Bluetooth messages. This could conceivably lead to the tracking of users’ trajectories and, ultimately, the re-identification of users.

The textile and clothing (T&C) industry is not usually viewed as an exemplar of sustainable development and the circular economy (CE), as the industry has hitherto developed its products in a linear fashion, with relatively little recycling of the finished goods. This article examines the industry’s approach to the core sustainability concept and the CE in particular through a review of the available academic literature, evidence from corporate sustainability reports and websites, and feedback from an online survey of industry professionals. More specifically, the article investigates how German T&C companies are addressing sustainability in their corporate strategies and what activities relating to the CE are being pursued in the industry. The role of digital technologies in the transition to sustainability and the CE in the German T&C industry is also explored. The study finds that whilst sustainability is now firmly embedded at the strategic level in the vast majority of the companies studied, attitudes towards the CE are mixed. The use of digital technologies in support of sustainability objectives is also limited at present, but the need to meet compliance requirements and new customer perceptions of sustainability will speed the transition to CE activities, which will be facilitated by the greater exploitation of these technologies. An operational framework for initiating such a transition is developed, and action lists in the key areas of change organization, products, and processes are presented. These may be used as a guideline for practitioners, and the findings also make a small contribution to the scarcity of literature in this field of research.