HFTor - HfT Open Repository (Hochschule für Technik Stuttgart)
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404 research outputs found
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Trittschallminderung von thermischen Anschlusselementen für Balkone ohne und mit Auflagen aus Prüfstands-Messungen.
Zentren schrumpfender Mittelstädte in Nordrhein-Westfalen. Möglichkeiten der Stärkung von Engagement in der Städtebauförderung
Stadtzentren stehen vor vielfältigen Herausforderungen und Veränderungsprozessen. Beispielhaft lassen sich der Strukturwandel im Einzelhandel, fehlende Stadtteilidentität, vernachlässigte öffentliche Räume oder auch der Klimawandel nennen. Vor dem Hintergrund der gesamtstädtischen Bedeutung der Zentren gilt es, diesen Herausforderungen umfassend zu begegnen. Bei der Weiterentwicklung von Zentren kommt dem Engagement der lokalen Akteur*innen eine besondere Bedeutung zu. Diese umfasst nicht ausschließlich die Teilnahme an formellen Planungsprozessen, sondern z.B. auch die Mitwirkung an Leitbildprozessen, Gestaltungsvorhaben und die Umsetzung eigener Projekte. Ein Mehrwert wird dabei nicht allein durch übereinstimmende Entscheidungen der verschiedenen Akteur*innen erzielt, viel wichtiger ist es, dass die Menschen miteinander ins Gespräch kommen. Im Rahmen der Städtebauförderung werden u.a. Finanzhilfen für Kommunen bereitgestellt, um baulichen, funktionalen sowie sozialen Missständen in den Zentren zu begegnen. Die Wichtigkeit des privaten Engagements in der Städtebauförderung wurde bereits erkannt, dies spiegelt sich z.B. in bestehenden Beteiligungsmöglichkeiten sowie den Instrumenten der Städtebauförderung (integriertes städtebauliches Entwicklungskonzept, Quartier- bzw. Zentrenmanagement und Verfügungsfonds) wider. Dennoch konnte im Rahmen der Städtebauförderung in der Vergangenheit oftmals nicht im gewünschten Umfang Engagement aktiviert werden. Insbesondere in schrumpfenden Kommunen häufen sich oftmals Engagement hemmende Faktoren. Daher wird in der folgenden Arbeit untersucht, wie lokales Engagement in schrumpfenden Mittelstädten im Rahmen der Städtebauförderung weiter gestärkt bzw. eingefordert werden kann. Im Fokus liegen schrumpfende Mittelstädte in NRW, deren Zentren im Rahmen der Städtebauförderung weiterentwickelt wurden bzw. sich aktuell noch in der Förderung befinden. Die These dieser Arbeit ist, dass die Herausforderungen in Stadtzentren schrumpfender Mittelstädte in NRW nur gelöst werden können, wenn dies gemeinsam mit den Menschen vor Ort geschieht und deren Engagement im Rahmen der Städtebauförderung weiter gestärkt und gefordert wird
User needs over time: the market and technology maturity model (MTMM)
This paper conceptualizes how consumers perceive innovations at different stages of technology maturity. The market and technology maturity model (MTMM) combines the constructs of acceptability, acceptance, and adoption with the widely used technology readiness level (TRL). The MTMM proposes that different aspects impact users’ attitudes and behavior at different stages of technology maturity. To demonstrate the effect of technology maturity on the acceptance factors, a review was conducted based on previous studies on the acceptance of new technologies at various stages of technological maturity. The findings demonstrate that performance expectancy remains stable across the TRL stages, but effort expectancy tends to gain importance only after TRL 7. This indicates that consumers do not consider effort when the technology is still in early development. The results show that the importance of technology acceptance constructs differs across the stages of technology maturity. A limitation of this study is that only the most commonly used factors influencing acceptance have been considered. Future meta-studies should confirm the hypothesis with other factors such as social influence and hedonic motivation
Architecture, application and implementation of a digital twin of the RFID-enabled material flow in real-time for automotive intralogistics
RFID is used in logistics in the automotive industry to automate processes and optimise material flow. However, the data generated by RFID installations during operation offer more potential for further analyses to collect even more benefits from the technology. Therefore, in this paper, RFID data will be used to create a digital twin of the RFID-enabled material flow (DTRMF) in real-time and to programme various big data analyses. The architecture of the DTRMF must meet various qualitative requirements. Since the big data and digital twin architectures available in the literature either do not optimally fulfil all these requirements, or they are not described in enough detail to support real applications, this paper presents a new digital twin architecture for RFID-enabled material flow. This architecture consists of the data ingestion layer, data processing and analyses layer, data storage layer, visualisation layer, and the optional semantic layer. In addition, suitable technologies for the implementation of the architecture are described, and the feasibility of the architecture is demonstrated and verified by means of a case study
German Standard DIN 4109 (Sound Insulation in Buildings) in the Context of Technical, Scientific and Social Developments
For many years, the standard DIN 4109, which regulates sound insulation in buildings at a legally obligated level, has been the relevant standard for building acoustics in Germany. It not only specifies the requirements for sound insulation, but also regulates measurement procedures and calculative verifications. The origins of this standard date back to 1938. Since then, the content and form of this standard have constantly evolved. This standard has always been the subject of lively discussions. This contribution emphasises at the progress of this standard in view of the many technical, scientific and social developments from its origins to its current status. It can be shown that requirements on the one hand and acoustical verifications on the other have developed in different ways. At the same time, the history of DIN 4109 also shows the development of building acoustics in practical application
Occlusion Handling for Mobile AR Applications in Indoor and Outdoor Scenarios
When producing an engaging augmented reality (AR) user experience, it is crucial to create AR content that mimics real-life objects’ behavior to the greatest extent possible. A critical aspect to achieve this is ensuring that the digital objects conform to line-of-sight rules and are either partially or completely occluded, just like real-world objects would be. The study explores the concept of utilizing a pre-existing 3D representation of the physical environment as an occlusion mask that governs the rendering of each pixel. Specifically, the research aligns a Level of Detail (LOD) 1 building model and a 3D mesh model with their real-world counterparts and evaluates the effectiveness of occlusion between the two models in an outdoor setting. Despite the mesh model containing more detailed information, the overall results do not show improvement. In an indoor scenario, the researchers leverage the scanning capability of HoloLens 2.0 to create a pre-scanned representation, which helps overcome the limited range and delay of the mesh reconstruction
Autonomous Racing as the Future of Motorsport : An Empirical Investigation of the Attractiveness of Autonomous Car Racing for Generation Z Spectators
Motorsport suffers from a decreasing number of younger fans. Therefore, new racing series were developed to appeal to this target group. In one of them, not humans but AIs control the racing vehicles. The aim of the study described in this chapter is to investigate how attractive autonomous car racing is to people born in 1997 or later (Generation Z) and how races with different opponent constellations are evaluated. For this purpose, a sequential mixed method design with a qualitative and quantitative phase was conducted. The results show that the general attractiveness of autonomous car racing is low but can be significantly increased if the autonomous car competes against a human racing driver. The results also suggest that such races should primarily target motorsport fans, programmers, and people interested in technology. However, given Generation Z's relatively low interest in motorsport, autonomous racing is unlikely to become a mass sport phenomenon
Development of a Machine Vision System for Damage and Object Detection in Tunnels using Convolutional Neural Networks.
Tunnel inspection, i.e. detection of damages and defects on concrete surfaces, is essential for monitoring structural reliability and health conditions of transport facilities, thus providing safe and sustainable urban transportation infrastructures. In this study, an innovative visual-based system is developed for damage and object detection tasks in roadway tunnels based on deep learning techniques. The main components of the developed Machine Vision System such as industrial cameras, flash-based light sources, controller, the synchronization unit and corresponding software programs are designed to collect high-resolution images with sufficient quality from dimly lit tunnel environments in normal traffic flows with an operating speed of 30–50 km/h. Unlike recent studies, the training data includes multiple types of damage such as cracks, spalling, rust, delamination and other surface changes. Furthermore, 10 classes of common tunnel objects including traffic signs, traffic cameras, traffic lights, ventilation ducts, various sensors and cables are labeled for object detection. As state-of-the-art Convolutional Neural Networks, DeepLab and U-Net are trained and evaluated using accuracy metrics for image segmentation. The results highlight the most important parameters of the discussed Machine Vision System as well as the performance of DeepLab and U-Net for object and damage detection