HFTor - HfT Open Repository (Hochschule für Technik Stuttgart)
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404 research outputs found
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Adressenausfallrisiken
No full textDer Begriff Adressenausfallrisiken bezeichnet Verlustrisiken, die durch den Ausfall oder die bonitätsmäßige Verschlechterung von Geschäftspartnern bei Bankgeschäften verursacht werden. Im Artikel werden die Anforderungen der 7. MaRisk-Novelle zur Überwachung und Messung von Adressenausfallrisiken thematisiert
Parameter Efficient Self-Supervised Geospatial Domain Adaptation
No full textAs large-scale foundation models become publicly available for different domains, efficiently adapting them to individual downstream applications and additional data modalities has turned into a central challenge. For example, foundation models for geospatial and satellite remote sensing applications are commonly trained on large optical RGB or multi-spectral datasets, although data from a wide variety of heterogeneous sensors are available in the remote sensing domain. This leads to significant discrepancies between pre-training and downstream target data distributions for many important applications. Fine-tuning large foundation models to bridge that gap incurs high computational cost and can be infeasible when target datasets are small. In this paper, we address the question of how large, pre-trained foundational transformer models can be efficiently adapted to downstream remote sensing tasks involving different data modalities or limited dataset size. We present a self-supervised adaptation method that boosts downstream linear evaluation accuracy of different foundation models by 4-6% (absolute) across 8 remote sensing datasets while outperforming full fine-tuning when training only 1-2% of the model parameters. Our method significantly improves label efficiency and increases few-shot accuracy by 6-10% on different datasets
Vorstandskompetenz der Zukunft
No full textPersonalmanagement und -führung sind aktuell die größten strategischen Handlungsfelder von Kreditinstituten, Unternehmen und Organisationen. Mitarbeiterinnen und Mitarbeiter zu gewinnen, zu führen und nachhaltig zu binden, war selten so herausfordernd wie aktuell – und wird es auch bleiben
Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API
No full textAbstract. The effective tracking and analysis of moving objects within urban environments presents a complex challenge that necessitates robust geospatial data integration. Open Geospatial Consortium (OGC) APIs offer standardized approaches to managing dynamic geospatial information. This paper presents a case study of real-time moving object tracking including buses and trains in the city of Munakata, Japan, utilizing two prominent OGC APIs: OGC API Moving Features and OGC SensorThings API. The study explores the implementation of both APIs, examining their strengths and limitations in handling real-time location updates and associated sensor data generated by moving buses. The research provides insights into the practical suitability of each API model for dynamic object tracking, offering valuable guidance for practitioners seeking to optimize geospatial data integration within smart cities and intelligent transportation systems
Neukommentierung des § 6 Abs. 1 Nr. 1 EStG: Sonderfragen bei den Anschaffungs- und Herstellungskosten von Gebäuden. Anm. 460 - 463.
No full textTraffic noise transmitted indoors
No full textIn numerous countries, traffic noise is widely acknowledged as a highly disturbing form of pollution. Given that individuals spend a substantial portion of their day indoors, the impact of traffic noise perceived indoors is of considerable significance. To establish appropriate sound insulation requirements for buildings, it is essential to correlate subjective annoyance with objective ratings. This paper aims to present the regulations implemented by various countries and present preliminary findings from ongoing studies that involve listening tests using either measured or simulated traffic noise in indoor environments
Position Paper: The role of District Heating and Cooling (DHC) in the FitFor55 package – EC funded projects’ point of view
No full textHeating and cooling accounts for 50% of the energy consumed in the European Union (EU) with over 75% coming from fossil fuels. Despite significant measures to reduce demand, buildings as well as industry will always need energy to cover heating and cooling demands. Energy efficiency and the deployment of renewables and waste heat in district heating and cooling (DHC) networks, together with extensive interoperability among energy vectors, contribute significantly to
delivering sustainable heating and cooling and achieving carbon neutrality by 2050. It is estimated that increasing DHC networks to cover 20% of the EU heat market, compared to the current 13%, could save over 24 billion cubic meters of gas demand.
On the 14th of July 2021, the European Commission published the Fit-For-55 package to make the EU’s climate, energy, land use, transport and taxation policies suitable for reducing net greenhouse gas (GHG) emissions by at least 55% by 2030, compared to 1990 levels. With these proposals, the Commission presented the legislative tools to deliver the targets agreed in the Green Deal and European Climate Law. The key components having the highest impact on DHC are the revision of
the Energy Efficiency Directive (EED, ratified in September 2023), the revision of the Renewable Energy Directive (RED, ratified in October 2023), the revision of the Energy Performance of Buildings Directive (EPBD, ratified in March 2024) and the revision and extension of the EU Emissions Trading System Directive (ETSD, ratified in June 2023).
The new legislation has significant implications on the heating and cooling sector and strengthens the role of DHC and waste heat on the way to decarbonisation. The scope of the present document is to review the evolution of regulatory framework, highlighting margins for further improvement and suggesting channels towards the national implementation.
In this section we report the main outcomes of the analysis, while a detailed assessment is reported in the continuation of the document
Mobilität gemeinsam gestalten – In 10 Schritten
Get PDFMobilität ist ein wesentliches Element unseres Lebens und Alltags. Um mit anderen Menschen in Kontakt zu sein, müssen wir reden, schreiben, kommunizieren oder eben: mobil sein und reisen. Mobilität verbindet uns mit unseren Zielen. Sie ermöglicht uns, am Leben teilzunehmen. Zugleich ist sie aber eine der größten Herausforderungen für eine nachhaltige Entwicklung der Gesellschaft. Wir alle stehen vor der Aufgabe, neue Wege zu finden, damit Mobilität nicht nur unsere Bedürfnisse erfüllt, sondern auch die unserer Umwelt und der kommenden Generationen. Wir freuen uns, dass wir mit diesem Handbuch solche neuen Wege aufzeigen können. Zwar gibt es noch sehr viel zu tun, aber mit „Mobilität gemeinsam gestalten“ kommen wir einen guten Schritt weiter. Vorgestellt werden Erkenntnisse und Erfahrungen aus drei Jahren Arbeit im Reallabor „MobiQ – Nachhaltige Mobilität durch Sharing im Quartier“. Vor allem möchten wir mit dem Handbuch dazu anregen, dass an vielen Orten in Baden-Württemberg und anderswo innovative Mobilität
What Will the Delivery Robots Bring Us Tomorrow?
No full textAutonomous delivery robots offer a promising solution to the challenges of last mile logistics, a crucial topic in times of increasing logistics volume, environmental concern, and ongoing urbanization. This study investigates the acceptance of such robots in various application scenarios for last mile delivery in Germany. A first, quantitative, study investigating the overall acceptance of autonomous delivery robots for the primary predominant usage scenarios of meal and package delivery tested an adapted technology acceptance model via a structural equation model. A second, qualitative, study was conducted to better understand possible future use cases for these robots included semistandardized interviews with 14 individuals and employed a qualitative content structuring analysis method for data analysis. The results of Study 1 confirm that performance expectancy and effort expectancy influence the acceptance of delivery robots, with performance expectancy and behavioral intention being significantly higher for the package than for meal deliveries. However, in both cases, the average intention to use these robots only slightly exceeded the scale mean. Study 2 reveals that autonomous delivery robots are perceived as more convenient than existing alter
natives in grocery and pharmaceutical delivery and return processing. The further application of emergency situations, such as illness or the risk of infection, also emerged from the data; even respondents who generally reject the idea of such robots would still use them in such exceptional situations. These results should be considered in the further development of autonomous de livery robot systems
Development of an AI Competence Matrix for AI Teaching at Universities
No full textIn order to harness the benefits AI offers, tomorrow’s workforces and societies alike need to be competent in how to use, shape, and develop AI applications. As part of the KNIGHT research project of Stuttgart University of Applied Sciences, this contribution develops a framework for competence-based AI education at higher education facilities, based on a review of selected literature. The bulk of the competencies focuses on technical aspects of AI, however, since AI applications are oftentimes faced with potential ethical challenges, special care is taken to integrate dedicated ethical competencies. The competencies are then structured according to the German Qualifications Framework for Higher Education to yield a comprehensive AI competence matrix. As a proof of concept, the matrix is then applied to structure an AI certificate, available to students and staff of Stuttgart University of Applied Sciences