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Prototyping and evaluation of infrastructure-assisted transition of control for cooperative automated vehicles (2022)
Baldomero Coll-Perales ; Joschua Schulte-Tigges ; Michele Rondinone ; Javier Gozalvez ; Michael Reke ; Dominik Matheis ; Thomas Walter
Automated driving is now possible in diverse road and traffic conditions. However, there are still situations that automated vehicles cannot handle safely and efficiently. In this case, a Transition of Control (ToC) is necessary so that the driver takes control of the driving. Executing a ToC requires the driver to get full situation awareness of the driving environment. If the driver fails to get back the control in a limited time, a Minimum Risk Maneuver (MRM) is executed to bring the vehicle into a safe state (e.g., decelerating to full stop). The execution of ToCs requires some time and can cause traffic disruption and safety risks that increase if several vehicles execute ToCs/MRMs at similar times and in the same area. This study proposes to use novel C-ITS traffic management measures where the infrastructure exploits V2X communications to assist Connected and Automated Vehicles (CAVs) in the execution of ToCs. The infrastructure can suggest a spatial distribution of ToCs, and inform vehicles of the locations where they could execute a safe stop in case of MRM. This paper reports the first field operational tests that validate the feasibility and quantify the benefits of the proposed infrastructure-assisted ToC and MRM management. The paper also presents the CAV and roadside infrastructure prototypes implemented and used in the trials. The conducted field trials demonstrate that infrastructure-assisted traffic management solutions can reduce safety risks and traffic disruptions.
Digital Twin Academy: From Zero to Hero through individual learning experiences (2022)
Jessica Ulmer ; Youssef Mostafa ; Jörg Wollert
Digital twins are seen as one of the key technologies of Industry 4.0. Although many research groups focus on digital twins and create meaningful outputs, the technology has not yet reached a broad application in the industry. The main reasons for this imbalance are the complexity of the topic, the lack of specialists, and the unawareness of the twin opportunities. The project "Digital Twin Academy" aims to overcome these barriers by focusing on three actions: Building a digital twin community for discussion and exchange, offering multi-stage training for various knowledge levels, and implementing realworld use cases for deeper insights and guidance. In this work, we focus on creating a flexible learning platform that allows the user to select a training path adjusted to personal knowledge and needs. Therefore, a mix of basic and advanced modules is created and expanded by individual feedback options. The usage of personas supports the selection of the appropriate modules.
Rapid prototyping framework for automation applications based on IO-Link (2022)
Victor Francisco Chavez Bermudez ; Victor Fernando Cruz Castanon ; Marco Ruchay ; Jörg Wollert
The development of protype applications with sensors and actuators in the automation industry requires tools that are independent of manufacturer, and are flexible enough to be modified or extended for any specific requirements. Currently, developing prototypes with industrial sensors and actuators is not straightforward. First of all, the exchange of information depends on the industrial protocol that these devices have. Second, a specific configuration and installation is done based on the hardware that is used, such as automation controllers or industrial gateways. This means that the development for a specific industrial protocol, highly depends on the hardware and the software that vendors provide. In this work we propose a rapid-prototyping framework based on Arduino to solve this problem. For this project we have focused to work with the IO-Link protocol. The framework consists of an Arduino shield that acts as the physical layer, and a software that implements the IO-Link Master protocol. The main advantage of such framework is that an application with industrial devices can be rapid-prototyped with ease as its vendor independent, open-source and can be ported easily to other Arduino compatible boards. In comparison, a typical approach requires proprietary hardware, is not easy to port to another system and is closed-source.
Abschlussbericht zum Projekt zur Überwachung biotechnologischer Prozesse mittels Diacetyl-/Acetoin-Biosensor und Evaluierung von Acetoin-Reduktasen zur Verwendung in Biotransformationen (2022)
Petra Siegert ; Johannes Bongaerts ; Torsten Wagner ; Michael Josef Schöning ; Thorsten Selmer
Justice and the normative standards of explainability in healthcare (2022)
Hendrik Kempt ; Nils Freyer ; Saskia K. Nagel
Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.
Dimensionen 2-2022: Magazin der FH Aachen University of Applied Sciences - Werkstatt Zukunft (2022)
Werkstatt Zukunft - Die FH Aachen versteht sich als interdisziplinäre Ideenschmiede 04| Aufbruch ins Ungewisse 08| Mit Altpapierresten aus der Energiekrise 14| Mehr Power für die Energiewende 20| Pfadfinder im Datendschungel 23| Ein historischer Schritt 24| Gemeinsam vorwärts 30| Für eine gerechte Hochschule. Für alle. 32| Der grüne Reiter 34| Vom Flugsimulator bis zum Roboter 36| Unsere Azubis sind top! 38| WIR sind ein Sportteam! 40| Effizient und sicher: Der Bergbau der Zukunft 46| Mit Sonnenlicht zu sauberem Trinkwasser 48| Neue Brandmeldeanlage für den Dom zu Aachen 50| Auszeichnung für außergewöhnliches Engagement 52| Neue Ideen für Schloss Lichtenburg 55| Kopfnuss 56| One-Man-Show 60| Kämpferin für das Schöne 61| Ein charmanter Diplomat 62| Teamplay für die Zukunft 63| Impressum
Hypotheses on the Tower of Monthoiron: A Built Design of Italian and Leonardian Inspiration in France (2022)
Anke Fissabre ; Ariane Wilson
Quantitative evaluation of health management designs for fuel cell systems in transport vehicles (2022)
Oliver Schopen ; Bahman Shabani ; Thomas Esch ; Hans Kemper ; Neel Shah
Focusing on transport vehicles, mainly with regard to aviation applications, this paper presents compilation and subsequent quantitative evaluation of methods aimed at building an optimum integrated health management solution for fuel cell systems. The methods are divided into two different main types and compiled in a related scheme. Furthermore, different methods are analysed and evaluated based on parameters specific to the aviation context of this study. Finally, the most suitable method for use in fuel cell health management systems is identified and its performance and suitability is quantified.
Automated Control System Strategies to Ensure Safety of PEM Fuel Cells Using Kalman Filters (2022)
Yadu Krishna Morassery Veettil ; Shantam Rakshit ; Oliver Schopen ; Hans Kemper ; Thomas Esch ; Bahman Shabani
Having well-defined control strategies for fuel cells, that can efficiently detect errors and take corrective action is critically important for safety in all applications, and especially so in aviation. The algorithms not only ensure operator safety by monitoring the fuel cell and connected components, but also contribute to extending the health of the fuel cell, its durability and safe operation over its lifetime. While sensors are used to provide peripheral data surrounding the fuel cell, the internal states of the fuel cell cannot be directly measured. To overcome this restriction, Kalman Filter has been implemented as an internal state observer. Other safety conditions are evaluated using real-time data from every connected sensor and corrective actions automatically take place to ensure safety. The algorithms discussed in this paper have been validated thorough Model-in-the-Loop (MiL) tests as well as practical validation at a dedicated test bench.
Development of UTeM United Future Fuel Design Training Center Under Erasmus+ United Program (2022)
Noreffendy Tamaldin ; Muhd Rizuan Mansor ; Ahmad Kamal Mat Yamin ; Mohd Fazli Bin Abdollah ; Thomas Esch ; Andrea Tonoli ; Karl Heinz Reisinger ; Hanna Sprenger ; Hisham Razuli
The industrial revolution IR4.0 era have driven many states of the art technologies to be introduced especially in the automotive industry. The rapid development of automotive industries in Europe have created wide industry gap between European Union (EU) and developing countries such as in South-East Asia (SEA). Indulging this situation, FH Joanneum, Austria together with European partners from FH Aachen, Germany and Politecnico Di Torino, Italy is taking initiative to close the gap utilizing the Erasmus+ United grant from EU. A consortium was founded to engage with automotive technology transfer using the European ramework to Malaysian, Indonesian and Thailand Higher Education Institutions (HEI) as well as automotive industries. This could be achieved by establishing Engineering Knowledge Transfer Unit (EKTU) in respective SEA institutions guided by the industry partners in their respective countries. This EKTU could offer updated, innovative, and high-quality training courses to increase graduate’s employability in higher education institutions and strengthen relations between HEI and the wider economic and social environment by addressing Universityindustry cooperation which is the regional priority for Asia. It is expected that, the Capacity Building Initiative would improve the quality of higher education and enhancing its relevance for the labor market and society in the SEA partners. The outcome of this project would greatly benefit the partners in strong and complementary partnership targeting the automotive industry and enhanced larger scale international cooperation between the European and SEA partners. It would also prepare the SEA HEI in sustainable partnership with Automotive industry in the region as a mean of income generation in the future.
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