Bibliografie Dokumente/documents https://biblio.ub.rptu.de/index/index/ Fri, 06 Nov 2026 15:31:08 +0100 Fri, 06 Nov 2026 15:31:08 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20433 Michael Will; Christoph Garth; Pavel Bochev; Denis Ridzal; Roxana Bujack conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20433 Fri, 06 Nov 2026 15:31:08 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20432 Samuel Ndegwa; Mengsen Jia; Ping Zhang conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20432 Fri, 06 Nov 2026 15:00:12 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20430 Cees van Leeuwen bookpart https://biblio.ub.rptu.de/frontdoor/index/index/docId/20430 Fri, 06 Nov 2026 14:38:39 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20429 Hans-Georg Wolf; Frank Polzenhagen bookpart https://biblio.ub.rptu.de/frontdoor/index/index/docId/20429 Fri, 06 Nov 2026 14:15:32 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20427 Ahmed Anwar; Andreas Wagner; Federico Raue; Tobias Christian Nauen; Andreas Dengel conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20427 Fri, 06 Nov 2026 13:14:59 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20426 Dayananda Herurkar; Federico Raue; Joachim Folz; Jörn Hees; Andreas Dengel conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20426 Fri, 06 Nov 2026 12:57:19 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20425 Shashank Mishra; Karan Patil; Cedric Schockaert; Didier Stricker; Jason Rambach conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20425 Fri, 06 Nov 2026 12:13:18 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20424 Patrick Noras; Jun Myeong Choi; Didier Stricker; Pieter Peers; Roni Sengupta conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20424 Fri, 06 Nov 2026 11:56:06 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20418 The reduction of anthropogenic greenhouse gas emissions and ever stricter regulations on pollutant emissions in the transport sector require research and development of new, climate-friendly propulsion concepts. The use of renewable hydrogen as a fuel for internal combustion engines promises to provide a good solution especially for commercial vehicles. For optimum efficiency of the combustion process, hydrogen-specific engine components are required, which need to be tested on the test bench and analysed in simulation studies. This paper deals with the simulation-based investigation and optimisation of fuel injection in a 6-cylinder PFI commercial vehicle engine, which has been modified for hydrogen operation starting from a natural gas engine concept. The focus of the study is on a CNG-derived manifold design which has been adapted with regard to the injector interface and is already equipped with so-called gas injection guiding tubes for targeted fuel injection in front of the intake runners of the individual cylinders. Significant deviations between the averaged cylinder pressure profiles of the individual cylinders observed on the test bench point to an issue with the equal distribution of the fuel supply to the individual cylinders. A subsequent 3D CFD simulation of the internal manifold flow showed geometry-induced turbulence of the fresh air flow in the area of the hydrogen supply outlet of several cylinders, which can lead to variations in cylinder-specific fuel quantities. In order to minimise the influence of the air flow in the manifold on the fuel injection, a dedicated injection guide concept for the gas injection tubes in the intake manifold has been designed with the aim of moving the position of hydrogen injection closer to the intake valves. In this study, this concept is analyzed based on first results obtained from a detailed 3D CFD simulation, especially in terms of the uniformity of hydrogen distribution between the cylinders, mixture formation and the effect on combustion. Philipp Jung; Michael Günthner; Nicolas Walter conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20418 Fri, 06 Nov 2026 11:16:42 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20417 Oxygenated substances are a promising approach in the field of alternative fuels. A current example of such a fuel are Polyoxymethylene Dimethyl Ethers (OME). With their physical and chemical properties, alternative fuels like OME pose new challenges for diesel engine injection systems. As the heating value is low compared to conventional Diesel fuel, measures must be taken to increase the amount of fuel injected. Possible solutions include increasing the nozzle hole diameter, the injection pressure, and the number of nozzle holes. All mentioned adaptions have an influence on the mixture formation and make it necessary to examine the injection process in detail also with regard to phenomena such as cavitation. In this study, three passenger car Diesel injector nozzles are compared, two of which are adapted in terms of nozzle hole diameter (increase by 20%) and number of nozzle holes (increase from 8 to 12) in order to increase the mass flow rate of fuel to the required elevated level. The injectors are examined under various operating conditions using the optical measurement methods of Mie scattering and Schlieren photography in a constantly purged high-temperature and -pressure injection chamber. Mixture formation is analyzed on basis of the measurement results for different fuels and blends. Results show that adaptions such as increasing the nozzle hole diameter or the number of nozzle holes are unavoidable, as increasing the injection pressure alone cannot realistically compensate for the lower calorific value of OME. In addition, strong cavitation can be observed without adjustments to the nozzle holes. With the adapted nozzles, increasing the nozzle hole diameter leads to an increase in the local fuel/air ratio, while increasing the number of nozzle holes leads to a decrease. Sebastian Riess; Thorsten Fuchs; Lukas Strauß; Michael Günthner; Michael Wensing conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20417 Fri, 06 Nov 2026 10:58:43 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20415 Thomas Eickhoff; Arnaud Ngamakoua Hakoua; Jens C. Göbel conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20415 Fri, 06 Nov 2026 10:40:08 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20414 Oliver Bleisinger; Mareike Keil; Martin Eigner conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20414 Fri, 06 Nov 2026 10:31:18 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20413 Sven Wehrend; Konrad Frischkorn; Magda Berkhahn; Thomas Eickhoff; Jan Reißmann; Marvin May; Gisela Lanza; Benjamin Schleich; Alexander Hasse; Rainer Stark; Jens C. Göbel; Georg Jacobs; Dieter Krause conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20413 Fri, 06 Nov 2026 10:09:47 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20420 Wolfgang Laudensack; Jens Weiermüller; Roland Ulber bookpart https://biblio.ub.rptu.de/frontdoor/index/index/docId/20420 Fri, 06 Nov 2026 09:56:59 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20407 Emre Özkaya; Jan Rottmayer; Nicolas R. Gauger conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20407 Fri, 06 Nov 2026 09:47:43 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20412 Perception, the process of comprehending and deriving meaning from one's surroundings, is fundamental to human decision-making. In this context, we explore the development of a robust perception model designed for mobile robots to facilitate effective human-robot communication and decision-making in dynamic and intricate scenarios.Achieving localization without GPS in a network of roads using stratified sequential importance sampling where the stratification levels are based on semantic object spaces in the map and on the running time, we articulate and describe the proposed development and experimentation environment, demonstrating the potential of our perception model. Sheuli Paul; Marius Silaghi; Veton Kepuska; Akram Alghanmi; Steven Liu conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20412 Fri, 06 Nov 2026 09:40:02 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20411 New mechanisms provide soldiers automation capabilities that include interactive, mobile, fast, scalable, secured, powerful computational communication in contested environments such as battle fields. Internet of BattleField Things (IoBT) is a technology that develops integrated Internet of Things (IoT) solutions for the war of the future. The IoBT connects soldiers with smart technology in armour, radios, weapons, munitions, other objects such as health sensors, GPS, and various IoT devices. These ``things'', objects, or constrained devices can communicate with each other or across existing network infrastructure such as the Internet or network meshes. They most of the time come with limited capacity in terms of memory storage, computational power and energy. IoT, networking (Device Communication (D2D), Peer to Peer Communication (P2P)), machine intelligence, multimodal sensing and fusion are some areas involved in developing interdisciplinary IoBT networks. Our aim is to equip soldiers with AI powered IoBT devices. Existing D2D/P2P/LPWAN based IoBT technology focuses on edge computing devices which are very limited, being slow, insecure, and lack sufficient scalability. We present a novel concept, i.e., Mobile Fog AI for IoBT to overcome existing IoBT limitations. Sheuli Paul; Marius Silaghi; Veton Kepuska; Akram Alghanmi; Steven Liu conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20411 Fri, 06 Nov 2026 09:38:56 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20406 Dinesh Krishna Natarajan; Tim Schmidt; Stefano Cassola; Marlon Nuske; Miro Duhovic; David May; Andreas Dengel conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20406 Fri, 06 Nov 2026 09:32:55 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20416 Over the past 25 years, previously separate fields of linguistic research have moved closer together, resulting in constructive collaborations: Cognitive Sociolinguistics draws on the framework of Cognitive Linguistics to investigate social factors in linguistic variation. Linguistic Landscape studies merge Semiotics and Sociolinguistics. Critical Discourse Studies link ideological dimensions of language to general conceptual principles. Language pedagogy is constantly informed by developments in Applied Linguistics. Furthermore, there is lively communication with neighbouring disciplines such as Literary and Cultural Studies. The present volume reflects this fruitful fluidity. It is a tribute to the linguist Martin Pütz, whose work has always been guided by this interdisciplinary spirit. editedcollection https://biblio.ub.rptu.de/frontdoor/index/index/docId/20416 Fri, 06 Nov 2026 09:19:33 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20410 Adherence to procedures and rules is essential in order to obtain the best results in medicine and sports. However, traditional clinical setups can induce stress in patients, hindering recovery. Meanwhile, advancements in activity recognition and monitoring technology have revolutionised the sports industry, yet systems suggesting exercises for performance improvement are sparse. At the same time, children training supervision is lacking comprehensive research altogether. In my research, I propose a project that aims to unify wearables solutions in physical therapy, sport training and children development. The key aspects of the research include the exploration of sensor modality fusion in order to obtain better results, body motion tracking, and physiological parameters recording. Planned experiments will focus on joint and torso movement mapping, integration with vital signs in order to perform real-life evaluations in cooperation with athletes, patients, coaches, and therapists. Joanna Sorysz conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20410 Fri, 06 Nov 2026 09:01:44 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20404 Zoha Azimi; Amritha Premkumar; Reza Farahani; Vignesh V. Menon; Christian Timmerer; Radu Prodan conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20404 Thu, 05 Nov 2026 08:31:44 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20396 Patrick Bachmann; Saeed Ahmed; Naim Bajcinca conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20396 Thu, 05 Nov 2026 08:29:22 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20385 Harald J. W. Müller-Kirsten book https://biblio.ub.rptu.de/frontdoor/index/index/docId/20385 Thu, 05 Nov 2026 08:26:05 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20357 Eberhard Huester; Hannes Saas bookpart https://biblio.ub.rptu.de/frontdoor/index/index/docId/20357 Thu, 05 Nov 2026 08:05:59 +0100 https://biblio.ub.rptu.de/frontdoor/index/index/docId/20409 The general availability of large language models and thus unrestricted usage in sensitive areas of everyday life, such as education, remains a major debate. We argue that employing generative artificial intelligence (AI) tools warrants informed usage and examined their impact on problem solving strategies in higher education. In a study, students with a background in physics were assigned to solve physics exercises, with one group having access to an internet search engine (N=12) and the other group being allowed unrestricted use of ChatGPT (N=27). We evaluated their performance, strategies, and interaction with the provided tools. Our results showed that nearly half of the solutions provided with the support of ChatGPT were mistakenly assumed to be correct by students, indicating that they overly trusted ChatGPT even in their field of expertise. Likewise, in 42% of cases, students used copy & paste to query ChatGPT — an approach only used in 4% of search engine queries — highlighting the stark differences in interaction behavior between the groups and indicating limited task reflection when using ChatGPT. In our work, we demonstrated a need to (1) guide students on how to interact with LLMs and (2) create awareness of potential shortcomings for users. Lars Krupp; Steffen Steinert; Maximilian Kiefer-Emmanouilidis; Karina E. Avila; Paul Lukowicz; Jochen Kuhn; Stefan Küchemann; Jakob Karolus conferenceobject https://biblio.ub.rptu.de/frontdoor/index/index/docId/20409 Tue, 03 Nov 2026 15:17:57 +0100